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description Publicationkeyboard_double_arrow_right Article , Journal , Research , Preprint 2013 Netherlands, United Kingdom, NetherlandsPublisher:Elsevier BV Publicly fundedSeán Lyons; Seán Lyons; Franco Mariuzzo; Richard S.J. Tol; Áine Driscoll; Áine Driscoll;We have modelled the market for new cars in Ireland with the aim of quantifying the values placed on a range of observable car characteristics. Mid-sized petrol cars with a manual transmission sell best. Price and perhaps fuel cost are negatively associated with sales, and acceleration and perhaps range are positively associated. Hybrid cars are popular. The values of car characteristics are then used to simulate the likely market shares of three new electric vehicles. Electric vehicles tend to be more expensive even after tax breaks and subsidies are applied, but we assume their market shares would benefit from an "environmental" premium similar to those of hybrid cars. The "environmental" premium and the level of subsidies would need to be raised to incredible levels to reach the government target of 10% market penetration of all-electric vehicles.
Research Papers in E... arrow_drop_down Research Papers in EconomicsPreprint . 2012Full-Text: http://www.esri.ie/pubs/WP437.pdfData sources: Research Papers in EconomicsEnergy PolicyArticle . 2013University of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enpol.2013.07.061&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu24 citations 24 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Research Papers in E... arrow_drop_down Research Papers in EconomicsPreprint . 2012Full-Text: http://www.esri.ie/pubs/WP437.pdfData sources: Research Papers in EconomicsEnergy PolicyArticle . 2013University of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enpol.2013.07.061&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Journal 2017 France, United Kingdom, France, France, United Kingdom, Germany, Germany, France, Netherlands, Germany, Australia, Spain, Austria, France, Australia, Switzerland, France, France, United KingdomPublisher:Copernicus GmbH Funded by:NWO | The distribution and evol..., EC | IMBALANCE-P, EC | RINGO +9 projectsNWO| The distribution and evolution of inert and reactant scalars: from the atmospheric boundary layer to continental scales ,EC| IMBALANCE-P ,EC| RINGO ,RCN| Jordsystem-modellering av klimaforandringer i den antroposene tidsalder; Earth system modelling of climate Variations in the Anthropocene ,EC| CRESCENDO ,EC| HELIX ,EC| QUINCY ,EC| LUC4C ,EC| FIBER ,SNSF| Geschichte der Bausteinbearbeitung, insbesondere in der westlichen Schweiz ,RCN| Integrated Carbon Observation System (ICOS)-Norway and Ocean Thematic Centre (OTC) ,RCN| CICEP-Strategic Challenges in International Climate and Energy PolicyBronte Tilbrook; Bronte Tilbrook; Jessica N. Cross; Guido R. van der Werf; Yukihiro Nojiri; Denis Pierrot; Denis Pierrot; Arne Körtzinger; Andrew J. Watson; Nathalie Lefèvre; Nicolas Metzl; Andrew Lenton; Andrew Lenton; X. Antonio Padin; David R. Munro; Andrew C. Manning; Philippe Ciais; Leticia Barbero; Leticia Barbero; Kees Klein Goldewijk; Kees Klein Goldewijk; Markus Kautz; Ivan D. Lima; Benjamin Poulter; Benjamin Poulter; Sebastian Lienert; Sebastian Lienert; Pieter P. Tans; Oliver Andrews; George C. Hurtt; Janet J. Reimer; Ingunn Skjelvan; Peter Landschützer; Francesco N. Tubiello; Thomas A. Boden; Anthony P. Walker; Pedro M. S. Monteiro; Kim I. Currie; Robert B. Jackson; Vivek K. Arora; Meike Becker; Meike Becker; Benjamin D. Stocker; Nicolas Vuichard; Tatiana Ilyina; Richard A. Houghton; Stephen Sitch; Sönke Zaehle; Christian Rödenbeck; Dorothee C. E. Bakker; Judith Hauck; Jörg Schwinger; Julia E. M. S. Nabel; Jan Ivar Korsbakken; Frédéric Chevallier; Andy Wiltshire; Ralph F. Keeling; Catherine E Cosca; Thomas Gasser; Ingrid T. van der Laan-Luijkx; Richard Betts; Richard Betts; Shin-Ichiro Nakaoka; Ian Harris; Robbie M. Andrew; Roland Séférian; Pierre Friedlingstein; Steven van Heuven; Christopher W. Hunt; Laurent Bopp; Dan Zhu; Julia Pongratz; Gregor Rehder; Louise Chini; Nicolas Viovy; Frank J. Millero; Etsushi Kato; Benjamin Pfeil; Benjamin Pfeil; Glen P. Peters; Josep G. Canadell; Anna Peregon; Atul K. Jain; Corinne Le Quéré; Danica Lombardozzi; Vanessa Haverd; Hanqin Tian;Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the "global carbon budget" – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of our imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2007–2016), EFF was 9.4 ± 0.5 GtC yr−1, ELUC 1.3 ± 0.7 GtC yr−1, GATM 4.7 ± 0.1 GtC yr−1, SOCEAN 2.4 ± 0.5 GtC yr−1, and SLAND 3.0 ± 0.8 GtC yr−1, with a budget imbalance BIM of 0.6 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9 ± 0.5 GtC yr−1. Also for 2016, ELUC was 1.3 ± 0.7 GtC yr−1, GATM was 6.1 ± 0.2 GtC yr−1, SOCEAN was 2.6 ± 0.5 GtC yr−1 and SLAND was 2.7 ± 1.0 GtC yr−1, with a small BIM of −0.3 GtC. GATM continued to be higher in 2016 compared to the past decade (2007–2016), reflecting in part the higher fossil emissions and smaller SLAND for that year consistent with El Niño conditions. The global atmospheric CO2 concentration reached 402.8 ± 0.1 ppm averaged over 2016. For 2017, preliminary data indicate a renewed growth in EFF of +2.0 % (range of 0.8 % to 3.0 %) based on national emissions projections for China, USA, and India, and projections of Gross Domestic Product corrected for recent changes in the carbon intensity of the economy for the rest of the world. For 2017, initial data indicate an increase in atmospheric CO2 concentration of around 5.3 GtC (2.5 ppm), attributed to a combination of increasing emissions and receding El Niño conditions. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Quéré et al., 2016; 2015b; 2015a; 2014; 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2018 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2018 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)KITopen (Karlsruhe Institute of Technologie)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10871/32317Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2018License: CC BYFull-Text: https://doi.org/10.18160/GCP-2017Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essd-2...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)DANS (Data Archiving and Networked Services)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Recolector de Ciencia Abierta, RECOLECTAArticle . 2018 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAEarth System Science Data (ESSD)Article . 2018Earth System Science Data (ESSD)Review . 2018License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2018License: CC BYData sources: Wageningen Staff PublicationsElectronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CenterElectronic Publication Information CenterArticle . 2018Data sources: Electronic Publication Information CenterEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2018Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2017-123&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1K citations 1,019 popularity Top 0.1% influence Top 0.1% impulse Top 0.01% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2018 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2018 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)KITopen (Karlsruhe Institute of Technologie)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10871/32317Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2018License: CC BYFull-Text: https://doi.org/10.18160/GCP-2017Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essd-2...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)DANS (Data Archiving and Networked Services)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Recolector de Ciencia Abierta, RECOLECTAArticle . 2018 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAEarth System Science Data (ESSD)Article . 2018Earth System Science Data (ESSD)Review . 2018License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2018License: CC BYData sources: Wageningen Staff PublicationsElectronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CenterElectronic Publication Information CenterArticle . 2018Data sources: Electronic Publication Information CenterEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2018Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2017-123&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018 Netherlands, Australia, Germany, France, Germany, United Kingdom, Netherlands, Germany, Switzerland, Germany, Netherlands, Germany, Netherlands, Netherlands, Netherlands, Australia, Germany, United KingdomPublisher:Copernicus GmbH Publicly fundedFunded by:RCN | Integrated Carbon Observa..., UKRI | Amazon Integrated Carbon ..., EC | AtlantOS +10 projectsRCN| Integrated Carbon Observation System (ICOS)-Norway and Ocean Thematic Centre (OTC) ,UKRI| Amazon Integrated Carbon Analysis / AMAZONICA ,EC| AtlantOS ,NWO| The distribution and evolution of inert and reactant scalars: from the atmospheric boundary layer to continental scales ,RCN| CICEP-Strategic Challenges in International Climate and Energy Policy ,EC| CRESCENDO ,EC| RINGO ,EC| FIXO3 ,EC| IMBALANCE-P ,EC| VERIFY ,EC| GEOCARBON ,RCN| Jordsystem-modellering av klimaforandringer i den antroposene tidsalder; Earth system modelling of climate Variations in the Anthropocene ,EC| QUINCYC. Le Quéré; R. M. Andrew; P. Friedlingstein; S. Sitch; J. Hauck; J. Pongratz; J. Pongratz; P. A. Pickers; J. I. Korsbakken; G. P. Peters; J. G. Canadell; A. Arneth; V. K. Arora; L. Barbero; L. Barbero; A. Bastos; L. Bopp; F. Chevallier; L. P. Chini; P. Ciais; S. C. Doney; T. Gkritzalis; D. S. Goll; I. Harris; V. Haverd; F. M. Hoffman; M. Hoppema; R. A. Houghton; G. Hurtt; T. Ilyina; A. K. Jain; T. Johannessen; C. D. Jones; E. Kato; R. F. Keeling; K. K. Goldewijk; K. K. Goldewijk; P. Landschützer; N. Lefèvre; S. Lienert; Z. Liu; Z. Liu; D. Lombardozzi; N. Metzl; D. R. Munro; J. E. M. S. Nabel; S.-I. Nakaoka; C. Neill; C. Neill; A. Olsen; T. Ono; P. Patra; A. Peregon; W. Peters; W. Peters; P. Peylin; B. Pfeil; B. Pfeil; D. Pierrot; D. Pierrot; B. Poulter; G. Rehder; L. Resplandy; E. Robertson; M. Rocher; C. Rödenbeck; U. Schuster; J. Schwinger; R. Séférian; I. Skjelvan; T. Steinhoff; A. Sutton; P. P. Tans; H. Tian; B. Tilbrook; B. Tilbrook; F. N. Tubiello; I. T. van der Laan-Luijkx; G. R. van der Werf; N. Viovy; A. P. Walker; A. J. Wiltshire; R. Wright; R. Wright; S. Zaehle; B. Zheng;Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFF) are based on energy statistics and cement production data, while emissions from land use and land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2008–2017), EFF was 9.4±0.5 GtC yr−1, ELUC 1.5±0.7 GtC yr−1, GATM 4.7±0.02 GtC yr−1, SOCEAN 2.4±0.5 GtC yr−1, and SLAND 3.2±0.8 GtC yr−1, with a budget imbalance BIM of 0.5 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For the year 2017 alone, the growth in EFF was about 1.6 % and emissions increased to 9.9±0.5 GtC yr−1. Also for 2017, ELUC was 1.4±0.7 GtC yr−1, GATM was 4.6±0.2 GtC yr−1, SOCEAN was 2.5±0.5 GtC yr−1, and SLAND was 3.8±0.8 GtC yr−1, with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 405.0±0.1 ppm averaged over 2017. For 2018, preliminary data for the first 6–9 months indicate a renewed growth in EFF of +2.7 % (range of 1.8 % to 3.7 %) based on national emission projections for China, the US, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. The analysis presented here shows that the mean and trend in the five components of the global carbon budget are consistently estimated over the period of 1959–2017, but discrepancies of up to 1 GtC yr−1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations show (1) no consensus in the mean and trend in land-use change emissions, (2) a persistent low agreement among the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent underestimation of the CO2 variability by ocean models, originating outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding the global carbon cycle compared with previous publications of this data set (Le Quéré et al., 2018, 2016, 2015a, b, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2018.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2018 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2018 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Open Research ExeterArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10871/35123Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2018Full-Text: https://hal.science/hal-01951197Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2018Full-Text: https://hal.science/hal-01951197Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018Full-Text: https://hal.science/hal-01951197Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Earth System Science Data (ESSD)Article . 2018License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2018License: CC BYData sources: Wageningen Staff PublicationsElectronic Publication Information CenterArticle . 2018Data sources: Electronic Publication Information CenterArchiMer - Institutional Archive of IfremerOther literature type . 2018Data sources: ArchiMer - Institutional Archive of IfremerEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-10-2141-2018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1K citations 1,246 popularity Top 0.01% influence Top 0.1% impulse Top 0.01% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2018 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2018 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Open Research ExeterArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10871/35123Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2018Full-Text: https://hal.science/hal-01951197Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2018Full-Text: https://hal.science/hal-01951197Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018Full-Text: https://hal.science/hal-01951197Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Earth System Science Data (ESSD)Article . 2018License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2018License: CC BYData sources: Wageningen Staff PublicationsElectronic Publication Information CenterArticle . 2018Data sources: Electronic Publication Information CenterArchiMer - Institutional Archive of IfremerOther literature type . 2018Data sources: ArchiMer - Institutional Archive of IfremerEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-10-2141-2018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 FinlandPublisher:MDPI AG Kevin Joseph Dillman; Áróra Árnadóttir; Jukka Heinonen; Michał Czepkiewicz; Brynhildur Davíðsdóttir;doi: 10.3390/su12229390
Electric vehicles (EVs) are often considered a potential solution to mitigate greenhouse gas (GHG) emissions originating from personal transport vehicles, but this has also been questioned due to their high production emissions. In this study, we performed an extensive literature review of existing EV life-cycle assessments (LCAs) and a meta-analysis of the studies in the review, extracting life-cycle GHG emission data combined with a standardized methodology for estimating GHG electrical grid intensities across the European Economic Area (EEA), which were used to estimate a set of environmental breakeven points for each EEA country. A Monte Carlo simulation was performed to provide sensitivity analysis. The results of the review suggest a need for greater methodological and data transparency within EV LCA research. The meta-analysis found a subset of countries across the EEA where there is a potential that EVs could lead to greater life-cycle GHG emissions than a comparable diesel counterpart. A policy discussion highlights how EV policies in countries with contrasting GHG electric grid intensities may not reflect the current techno-environmental reality. This paper emphasizes the importance for researchers to accurately depict life-cycle vehicle emissions and the need for EEA countries to enact policies corresponding to their respective contextual conditions to avoid potentially enacting policies that could lead to greater GHG emissions.
Sustainability arrow_drop_down Aaltodoc Publication ArchiveArticle . 2020 . Peer-reviewedData sources: Aaltodoc Publication Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su12229390&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 48 citations 48 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Sustainability arrow_drop_down Aaltodoc Publication ArchiveArticle . 2020 . Peer-reviewedData sources: Aaltodoc Publication Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su12229390&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017Embargo end date: 05 Jul 2017 Germany, Germany, United KingdomPublisher:Frontiers Media SA Funded by:EC | EU BONEC| EU BONCorinne S. Martin; Kelly Malsch; Thomas M. Brooks; Thomas M. Brooks; Thomas M. Brooks; Tim Wilkinson; Lauren V. Weatherdon; Diego Juffe-Bignoli; Katherine Despot-Belmonte; Stephen Fletcher; Stephen Fletcher; Kristin Kaschner; Nadine Bowles-Newark; Frances E. Davis; Craig Hilton-Taylor; Cristina Garilao; David Christian Rose; Eugenie Regan; Ward Appeltans; Florian Wetzel; Tim Hirsch; Naomi Kingston; Kathleen Kesner-Reyes;Les données sur la biodiversité et la conservation sont généralement coûteuses à collecter, en particulier dans le domaine marin. Par conséquent, les données collectées pour un objectif scientifique donné sont parfois utilisées pour répondre à des besoins secondaires, tels que la mise en œuvre de politiques ou d'autres types de prise de décision. Cependant, bien que la qualité et l'accessibilité des données sur la biodiversité marine et la conservation se soient améliorées au cours de la dernière décennie, les façons dont ces données peuvent être utilisées pour élaborer et mettre en œuvre des mesures et des actions de gestion et de conservation pertinentes ne sont pas toujours explicites. Pour cette raison, il existe un certain nombre d'ensembles de données scientifiquement solides qui ne sont pas utilisés systématiquement pour éclairer les politiques et les décisions. La transformation de ces ensembles de données sur la biodiversité marine et la conservation en produits de connaissances qui transmettent les informations requises par les décideurs et les décideurs est une étape importante dans le renforcement de l'échange de connaissances à travers l'interface science-politique. Ici, nous identifions sept caractéristiques d'une sélection de produits de connaissances en ligne sur la biodiversité et la conservation qui contribuent à leur capacité à soutenir les politiques et la prise de décision dans le domaine marin (telles que mesurées par exemple par les mentions dans les résolutions/décisions politiques ou l'utilisation pour les rapports dans le cadre de certains instruments politiques ; utilisation dans le filtrage de haut niveau pour les domaines d'importance pour la biodiversité). Ces caractéristiques comprennent : un mandat politique clair ; des réseaux de collaborateurs établis ; la co-conception itérative d'une interface conviviale ; des méthodes normalisées, complètes et documentées avec assurance qualité ; une capacité cohérente et une planification de la relève ; des données accessibles et des produits à valeur ajoutée adaptés à l'objectif ; et des mesures d'utilisation rassemblées et rapportées. Les résultats de cet examen visent à : (a) aider les créateurs/propriétaires/fournisseurs de données à concevoir et à organiser des produits de connaissances sur la biodiversité et la conservation qui ont une plus grande influence, et donc un impact, sur les politiques et la prise de décision, et (b) fournir des recommandations sur la manière dont les décideurs et les décideurs peuvent soutenir le développement, la mise en œuvre et la durabilité de produits robustes de connaissances sur la biodiversité et la conservation à travers l'élaboration de politiques marines et de cadres décisionnels. La recopilación de datos sobre biodiversidad y protección suele ser costosa, especialmente en el ámbito marino. Por lo tanto, los datos recopilados para un propósito dado, a menudo científico, ocasionalmente se contribuyen a necesidades secundarias, como la implementación de políticas u otros tipos de toma de decisiones. Sin embargo, si bien la calidad y la accesibilidad de los datos sobre biodiversidad marina y protección han mejorado en la última década, las formas en que estos datos se pueden utilizar para desarrollar e implementar medidas y acciones de gestión y protección relevantes no siempre son explícitas. Por esta razón, hay una serie de conjuntos de datos científicamente sólidos que no se utilizan sistemáticamente para informar las políticas y las decisiones. Transformar estos conjuntos de datos sobre biodiversidad marina y conservación en productos de conocimiento que transmitan la información requerida por los responsables de la formulación de políticas y la toma de decisiones es un paso importante para fortalecer el intercambio de conocimientos a través de la interfaz ciencia-política. Aquí, identificamos siete características de una selección de productos de conocimiento en línea sobre biodiversidad y conservación que contribuyen a su capacidad para apoyar las políticas y la toma de decisiones en el ámbito marino (según lo medido, por ejemplo, por las menciones en las resoluciones/decisiones de políticas, o el uso para la presentación de informes en virtud de instrumentos de política seleccionados; uso en la detección de alto nivel para áreas de importancia para la biodiversidad). Estas características incluyen: un mandato político claro; redes establecidas de colaboradores; co-diseño iterativo de una interfaz fácil de usar; métodos estandarizados, integrales y documentados con garantía de calidad; capacidad consistente y planificación de sucesión; datos accesibles y productos de valor agregado que son adecuados para el propósito; y métricas de uso cotejadas e informadas. Los resultados de esta revisión tienen como objetivo: (a) apoyar a los creadores/propietarios/proveedores de datos en el diseño y la selección de productos de conocimiento sobre biodiversidad y conservación que tengan mayor influencia y, por lo tanto, impacto en las políticas y la toma de decisiones, y (b) proporcionar recomendaciones sobre cómo los responsables de la toma de decisiones y políticas pueden apoyar el desarrollo, la implementación y la sostenibilidad de productos sólidos de conocimiento sobre biodiversidad y conservación a través de la formulación de políticas marinas y marcos de toma de decisiones. Biodiversity and conservation data are generally costly to collect, particularly in the marine realm. Hence, data collected for a given—often scientific—purpose are occasionally contributed towards secondary needs, such as policy implementation or other types of decision-making. However, while the quality and accessibility of marine biodiversity and conservation data have improved over the past decade, the ways in which these data can be used to develop and implement relevant management and conservation measures and actions are not always explicit. For this reason, there are a number of scientifically-sound datasets that are not used systematically to inform policy and decisions. Transforming these marine biodiversity and conservation datasets into knowledge products that convey the information required by policy- and decision-makers is an important step in strengthening knowledge exchange across the science-policy interface. Here, we identify seven characteristics of a selection of online biodiversity and conservation knowledge products that contribute to their ability to support policy- and decision-making in the marine realm (as measured by e.g. mentions in policy resolutions/decisions, or use for reporting under selected policy instruments; use in high-level screening for areas of biodiversity importance). These characteristics include: a clear policy mandate; established networks of collaborators; iterative co-design of a user-friendly interface; standardised, comprehensive and documented methods with quality assurance; consistent capacity and succession planning; accessible data and value-added products that are fit-for-purpose; and metrics of use collated and reported. The outcomes of this review are intended to: (a) support data creators/owners/providers in designing and curating biodiversity and conservation knowledge products that have greater influence, and hence impact, in policy- and decision-making, and (b) provide recommendations for how decision- and policy-makers can support the development, implementation, and sustainability of robust biodiversity and conservation knowledge products through the framing of marine policy and decision-making frameworks. إن جمع بيانات التنوع البيولوجي والحفظ مكلف بشكل عام، لا سيما في المجال البحري. وبالتالي، فإن البيانات التي يتم جمعها لغرض علمي معين في كثير من الأحيان تساهم أحيانًا في تلبية الاحتياجات الثانوية، مثل تنفيذ السياسات أو أنواع أخرى من صنع القرار. ومع ذلك، في حين تحسنت جودة بيانات التنوع البيولوجي البحري والحفظ وإمكانية الوصول إليها على مدى العقد الماضي، فإن الطرق التي يمكن بها استخدام هذه البيانات لتطوير وتنفيذ تدابير وإجراءات الإدارة والحفظ ذات الصلة ليست واضحة دائمًا. لهذا السبب، هناك عدد من مجموعات البيانات السليمة علميًا التي لا يتم استخدامها بشكل منهجي لإبلاغ السياسات والقرارات. يعد تحويل مجموعات بيانات التنوع البيولوجي البحري والحفظ هذه إلى منتجات معرفية تنقل المعلومات المطلوبة من قبل صانعي السياسات والقرارات خطوة مهمة في تعزيز تبادل المعرفة عبر واجهة العلوم والسياسات. هنا، نحدد سبع خصائص لمجموعة مختارة من المنتجات المعرفية للتنوع البيولوجي والحفظ عبر الإنترنت والتي تساهم في قدرتها على دعم السياسات وصنع القرار في المجال البحري (كما تم قياسها على سبيل المثال بالإشارات في قرارات/مقررات السياسة، أو استخدامها للإبلاغ بموجب أدوات سياسة مختارة ؛ واستخدامها في الفحص رفيع المستوى للمجالات ذات أهمية التنوع البيولوجي). وتشمل هذه الخصائص: تفويض واضح للسياسة ؛ وشبكات راسخة من المتعاونين ؛ وتصميم مشترك تكراري لواجهة سهلة الاستخدام ؛ وأساليب موحدة وشاملة وموثقة مع ضمان الجودة ؛ وتخطيط متسق للقدرات والتعاقب ؛ وبيانات يمكن الوصول إليها ومنتجات ذات قيمة مضافة مناسبة للغرض ؛ ومقاييس الاستخدام التي تم جمعها والإبلاغ عنها. تهدف نتائج هذا الاستعراض إلى: (أ) دعم منشئي/مالكي/مقدمي البيانات في تصميم وتنسيق منتجات معارف التنوع البيولوجي والحفظ التي لها تأثير أكبر، وبالتالي تأثير، في صنع السياسات وصنع القرار، و (ب) تقديم توصيات حول كيفية دعم صانعي القرار والسياسات لتطوير وتنفيذ واستدامة منتجات معرفية قوية للتنوع البيولوجي والحفظ من خلال صياغة السياسات البحرية وأطر صنع القرار.
Frontiers in Marine ... arrow_drop_down University of East Anglia digital repositoryArticle . 2017 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of Freiburg: FreiDokArticle . 2017Full-Text: https://freidok.uni-freiburg.de/data/137903Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.3389/fmar...Other literature typeData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 47 citations 47 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Frontiers in Marine ... arrow_drop_down University of East Anglia digital repositoryArticle . 2017 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of Freiburg: FreiDokArticle . 2017Full-Text: https://freidok.uni-freiburg.de/data/137903Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.3389/fmar...Other literature typeData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 United States, Australia, Australia, France, Netherlands, Germany, NetherlandsPublisher:Springer Science and Business Media LLC Funded by:NSF | Quantifying the Duration ...NSF| Quantifying the Duration and Impact of Human-Megafauna Overlap in AustraliaScott J. Lehman; Gifford H. Miller; Gifford H. Miller; Joachim Schönfeld; Ellyn J. Cook; A. Peter Kershaw; Sander van der Kaars; Sander van der Kaars; Chris S. M. Turney; Dirk Nürnberg;AbstractEnvironmental histories that span the last full glacial cycle and are representative of regional change in Australia are scarce, hampering assessment of environmental change preceding and concurrent with human dispersal on the continent ca. 47,000 years ago. Here we present a continuous 150,000-year record offshore south-western Australia and identify the timing of two critical late Pleistocene events: wide-scale ecosystem change and regional megafaunal population collapse. We establish that substantial changes in vegetation and fire regime occurred ∼70,000 years ago under a climate much drier than today. We record high levels of the dung fungus Sporormiella, a proxy for herbivore biomass, from 150,000 to 45,000 years ago, then a marked decline indicating megafaunal population collapse, from 45,000 to 43,100 years ago, placing the extinctions within 4,000 years of human dispersal across Australia. These findings rule out climate change, and implicate humans, as the primary extinction cause.
OceanRep arrow_drop_down ArchiMer - Institutional Archive of IfremerOther literature type . 2017Data sources: ArchiMer - Institutional Archive of Ifremeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/ncomms14142&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 81 citations 81 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert OceanRep arrow_drop_down ArchiMer - Institutional Archive of IfremerOther literature type . 2017Data sources: ArchiMer - Institutional Archive of Ifremeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/ncomms14142&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Journal 2018 Germany, NetherlandsPublisher:Elsevier BV Authors: Stacey M. Trevathan-Tackett; Laura L. Govers; Laura L. Govers; Sigrid Neuhauser; +1 AuthorsStacey M. Trevathan-Tackett; Laura L. Govers; Laura L. Govers; Sigrid Neuhauser; Brooke K. Sullivan;pmid: 28965923
pmc: PMC6445351
Human-induced global change is expected to amplify the disease risk for marine biota. However, the role of disease in the rapid global decline of seagrass is largely unknown. Global change may enhance seagrass susceptibility to disease through enhanced physiological stress, while simultaneously promoting pathogen development. This review outlines the characteristics of disease-forming organisms and potential impacts of global change on three groups of known seagrass pathogens: labyrinthulids, oomycetes and Phytomyxea. We propose that hypersalinity, climate warming and eutrophication pose the greatest risk for increasing frequency of disease outbreaks in seagrasses by increasing seagrass stress and lowering seagrass resilience. In some instances, global change may also promote pathogen development. However, there is currently a paucity of information on these seagrass pathosystems. We emphasise the need to expand current research to better understand the seagrass-pathogen relationships, serving to inform predicative modelling and management of seagrass disease under future global change scenarios.
Marine Pollution Bul... arrow_drop_down Marine Pollution BulletinOther literature type . 2018Data sources: DANS (Data Archiving and Networked Services)Marine Pollution BulletinReview . 2018License: taverneData sources: University of Groningen Research PortalMarine Pollution BulletinArticle . 2018 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.marpolbul.2017.09.030&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 78 citations 78 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Marine Pollution Bul... arrow_drop_down Marine Pollution BulletinOther literature type . 2018Data sources: DANS (Data Archiving and Networked Services)Marine Pollution BulletinReview . 2018License: taverneData sources: University of Groningen Research PortalMarine Pollution BulletinArticle . 2018 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.marpolbul.2017.09.030&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 Italy, Croatia, Lithuania, Italy, Ireland, Croatia, Turkey, Croatia, Portugal, Cyprus, Lithuania, Slovenia, Turkey, Turkey, Italy, Croatia, Turkey, Germany, Slovenia, SloveniaPublisher:Frontiers Media SA Publicly fundedFunded by:RCN | Downsizing light harvesti..., RCN | The Norwegian Seaweed Bio..., EC | MARINA +9 projectsRCN| Downsizing light harvesting antennae to scale up production potential and valorization from cultivation of marine microalgae. ,RCN| The Norwegian Seaweed Biorefinery Platform (SBP-N) ,EC| MARINA ,EC| GoJelly ,GSRI ,RCN| PROMAC: Energy efficient PROcessing of MACroalgae in blue-green value chains ,FCT| IF/00700/2014/CP1224/CT0007 ,FCT| CIIMAR ,FCT| Centre of Marine Sciences ,EC| SurfBio ,FCT| CIIMAR ,FCT| Applied Molecular Biosciences UnitAna Rotter; Ariola Bacu; Michèle Barbier; Francesco Bertoni; Atle M. Bones; M. Leonor Cancela; Jens Carlsson; Maria F. Carvalho; Marta Cegłowska; Meltem Conk Dalay; Thanos Dailianis; Irem Deniz; Dragana Drakulovic; Arita Dubnika; Hjörleifur Einarsson; Ayşegül Erdoğan; Orhan Tufan Eroldoğan; David Ezra; Stefano Fazi; Richard J. FitzGerald; Laura M. Gargan; Susana P. Gaudêncio; Nadica Ivošević DeNardis; Danijela Joksimovic; Marija Kataržytė; Jonne Kotta; Manolis Mandalakis; Inga Matijošytė; Hanna Mazur-Marzec; Alexia Massa-Gallucci; Mohamed Mehiri; Søren Laurentius Nielsen; Lucie Novoveská; Donata Overlingė; Michelle E. Portman; Krzysztof Pyrc; Céline Rebours; Thorsten Reinsch; Fernando Reyes; Baruch Rinkevich; Johan Robbens; Vita Rudovica; Jerica Sabotič; Ivo Safarik; Ivo Safarik; Siret Talve; Deniz Tasdemir; Deniz Tasdemir; Xenia Theodotou Schneider; Olivier P. Thomas; Anna Toruńska-Sitarz; Giovanna Cristina Varese; Marlen I. Vasquez;handle: 20.500.14243/424541 , 20.500.14279/19246 , 11454/62386 , 20.500.12481/11150 , 2318/1765862
Marine organisms produce a vast diversity of metabolites with biological activities useful for humans, e.g. cytotoxic, antioxidant, anti- microbial, insecticidal, herbicidal, anticancer, pro-osteogenic and pro-regenerative, analgesic, anti-inflammatory, anti-coagulant, cholesterol- lowering, nutritional, photoprotective, horticultural or other beneficial properties. These metabolites could help satisfy the increasing demand for alternative sources of nutraceuticals, pharmaceuticals, cosmeceuticals, food, feed, and novel bio-based products. In addition, marine biomass itself can serve as the source material for the production of various bulk commodities (e.g. biofuels, bioplastics, biomaterials). The sustainable exploitation of marine bio-resources and the development of biomolecules and polymers are also known as the growing field of marine biotechnology. Up to now, over 35, 000 natural products have been characterized from marine organisms, but many more are yet to be uncovered, as the vast diversity of biota in the marine systems remains largely unexplored. Since marine biotechnology is still in its infancy, there is a need to create effective, operational, inclusive, sustainable, transnational and transdisciplinary networks with a serious and ambitious commitment for knowledge transfer, training provision, dissemination of best practices and identification of the emerging technological trends through science communication activities. A collaborative (net)work is today compelling to provide innovative solutions and products that can be commercialized to contribute to the circular bioeconomy. This perspective article highlights the importance of establishing such collaborative frameworks using the example of Ocean4Biotech, an Action within the European Cooperation in Science and Technology (COST) that connects all and any stakeholders with an interest in marine biotechnology in Europe and beyond.
OceanRep arrow_drop_down Vilnius University Institutional RepositoryArticle . 2020Data sources: Vilnius University Institutional RepositoryCroatian Scientific Bibliography - CROSBIArticle . 2020Data sources: Croatian Scientific Bibliography - CROSBIdCOBISS.SI Digital RepositoryArticle . 2020License: CC BYData sources: dCOBISS.SI Digital RepositoryUniversity of Limerick Institutional RepositoryArticle . 2020 . Peer-reviewedData sources: University of Limerick Institutional RepositoryRepositório da Universidade Nova de LisboaArticle . 2020Data sources: Repositório da Universidade Nova de LisboaDigital repository of Slovenian research organizationsArticle . 2020License: CC BYData sources: Digital repository of Slovenian research organizationsEge University Institutional RepositoryArticle . 2020Data sources: Ege University Institutional RepositoryVirtual Library of Klaipeda UniversityArticle . 2020License: CC BYData sources: Virtual Library of Klaipeda UniversityFrontiers in Marine ScienceArticle . 2020 . Peer-reviewedData sources: European Union Open Data PortalManisa Celal Bayar Üniversitesi Akademik Arşiv SistemiArticle . 2020Data sources: Manisa Celal Bayar Üniversitesi Akademik Arşiv Sistemiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fmars.2020.00278&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 85 citations 85 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 80visibility views 80 download downloads 71 Powered bymore_vert OceanRep arrow_drop_down Vilnius University Institutional RepositoryArticle . 2020Data sources: Vilnius University Institutional RepositoryCroatian Scientific Bibliography - CROSBIArticle . 2020Data sources: Croatian Scientific Bibliography - CROSBIdCOBISS.SI Digital RepositoryArticle . 2020License: CC BYData sources: dCOBISS.SI Digital RepositoryUniversity of Limerick Institutional RepositoryArticle . 2020 . Peer-reviewedData sources: University of Limerick Institutional RepositoryRepositório da Universidade Nova de LisboaArticle . 2020Data sources: Repositório da Universidade Nova de LisboaDigital repository of Slovenian research organizationsArticle . 2020License: CC BYData sources: Digital repository of Slovenian research organizationsEge University Institutional RepositoryArticle . 2020Data sources: Ege University Institutional RepositoryVirtual Library of Klaipeda UniversityArticle . 2020License: CC BYData sources: Virtual Library of Klaipeda UniversityFrontiers in Marine ScienceArticle . 2020 . Peer-reviewedData sources: European Union Open Data PortalManisa Celal Bayar Üniversitesi Akademik Arşiv SistemiArticle . 2020Data sources: Manisa Celal Bayar Üniversitesi Akademik Arşiv Sistemiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fmars.2020.00278&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Review , Journal 2017 United States, United States, Norway, Italy, United Kingdom, United Kingdom, United Kingdom, Netherlands, Netherlands, United States, France, Germany, Austria, Italy, United Kingdom, Switzerland, SwedenPublisher:Copernicus GmbH Funded by:RCN | CICEP-Strategic Challenge..., EC | CDREG, EC | MACC II +3 projectsRCN| CICEP-Strategic Challenges in International Climate and Energy Policy ,EC| CDREG ,EC| MACC II ,EC| MACC-III ,NSERC ,EC| METLAKEM. Saunois; P. Bousquet; B. Poulter; A. Peregon; P. Ciais; J. G. Canadell; E. J. Dlugokencky; G. Etiope; G. Etiope; D. Bastviken; S. Houweling; S. Houweling; G. Janssens-Maenhout; F. N. Tubiello; S. Castaldi; S. Castaldi; S. Castaldi; R. B. Jackson; M. Alexe; V. K. Arora; D. J. Beerling; P. Bergamaschi; D. R. Blake; G. Brailsford; L. Bruhwiler; C. Crevoisier; P. Crill; K. Covey; C. Frankenberg; C. Frankenberg; N. Gedney; L. Höglund-Isaksson; M. Ishizawa; A. Ito; F. Joos; H.-S. Kim; T. Kleinen; P. Krummel; J.-F. Lamarque; R. Langenfelds; R. Locatelli; T. Machida; S. Maksyutov; J. R. Melton; I. Morino; V. Naik; S. O'Doherty; F.-J. W. Parmentier; P. K. Patra; C. Peng; C. Peng; S. Peng; S. Peng; G. P. Peters; I. Pison; R. Prinn; M. Ramonet; W. J. Riley; M. Saito; M. Santini; M. Santini; R. Schroeder; I. J. Simpson; R. Spahni; A. Takizawa; B. F. Thornton; H. Tian; Y. Tohjima; N. Viovy; A. Voulgarakis; R. Weiss; D. J. Wilton; A. Wiltshire; D. Worthy; D. Wunch; X. Xu; X. Xu; Y. Yoshida; B. Zhang; Z. Zhang; Z. Zhang; Q. Zhu;Abstract. Following the recent Global Carbon Project (GCP) synthesis of the decadal methane (CH4) budget over 2000–2012 (Saunois et al., 2016), we analyse here the same dataset with a focus on quasi-decadal and inter-annual variability in CH4 emissions. The GCP dataset integrates results from top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models (including process-based models for estimating land surface emissions and atmospheric chemistry), inventories of anthropogenic emissions, and data-driven approaches. The annual global methane emissions from top-down studies, which by construction match the observed methane growth rate within their uncertainties, all show an increase in total methane emissions over the period 2000–2012, but this increase is not linear over the 13 years. Despite differences between individual studies, the mean emission anomaly of the top-down ensemble shows no significant trend in total methane emissions over the period 2000–2006, during the plateau of atmospheric methane mole fractions, and also over the period 2008–2012, during the renewed atmospheric methane increase. However, the top-down ensemble mean produces an emission shift between 2006 and 2008, leading to 22 [16–32] Tg CH4 yr−1 higher methane emissions over the period 2008–2012 compared to 2002–2006. This emission increase mostly originated from the tropics, with a smaller contribution from mid-latitudes and no significant change from boreal regions. The regional contributions remain uncertain in top-down studies. Tropical South America and South and East Asia seem to contribute the most to the emission increase in the tropics. However, these two regions have only limited atmospheric measurements and remain therefore poorly constrained. The sectorial partitioning of this emission increase between the periods 2002–2006 and 2008–2012 differs from one atmospheric inversion study to another. However, all top-down studies suggest smaller changes in fossil fuel emissions (from oil, gas, and coal industries) compared to the mean of the bottom-up inventories included in this study. This difference is partly driven by a smaller emission change in China from the top-down studies compared to the estimate in the Emission Database for Global Atmospheric Research (EDGARv4.2) inventory, which should be revised to smaller values in a near future. We apply isotopic signatures to the emission changes estimated for individual studies based on five emission sectors and find that for six individual top-down studies (out of eight) the average isotopic signature of the emission changes is not consistent with the observed change in atmospheric 13CH4. However, the partitioning in emission change derived from the ensemble mean is consistent with this isotopic constraint. At the global scale, the top-down ensemble mean suggests that the dominant contribution to the resumed atmospheric CH4 growth after 2006 comes from microbial sources (more from agriculture and waste sectors than from natural wetlands), with an uncertain but smaller contribution from fossil CH4 emissions. In addition, a decrease in biomass burning emissions (in agreement with the biomass burning emission databases) makes the balance of sources consistent with atmospheric 13CH4 observations. In most of the top-down studies included here, OH concentrations are considered constant over the years (seasonal variations but without any inter-annual variability). As a result, the methane loss (in particular through OH oxidation) varies mainly through the change in methane concentrations and not its oxidants. For these reasons, changes in the methane loss could not be properly investigated in this study, although it may play a significant role in the recent atmospheric methane changes as briefly discussed at the end of the paper.
CORE arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2017 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/247941fpData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2017License: CC BYFull-Text: http://hdl.handle.net/10044/1/55004Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2017Full-Text: https://hal.science/hal-02414578Data sources: Bielefeld Academic Search Engine (BASE)DSpace@MIT (Massachusetts Institute of Technology)Article . 2018License: CC BYFull-Text: http://dx.doi.org/10.5194/ACP-17-11135-2017Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-02414578Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2017Full-Text: https://doi.org/10.5194/acp-17-11135-2017Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-02414578Data sources: Bielefeld Academic Search Engine (BASE)Atmospheric Chemistry and Physics (ACP)Article . 2017 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/acp-20...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Chemistry and Physics (ACP)Other literature type . 2017Data sources: DANS (Data Archiving and Networked Services)Atmospheric Chemistry and Physics (ACP)Review . 2017Spiral - Imperial College Digital RepositoryArticle . 2017Data sources: Spiral - Imperial College Digital RepositoryHAL-Ecole des Ponts ParisTechArticle . 2017License: CC BYData sources: HAL-Ecole des Ponts ParisTechPublikationer från Stockholms universitetArticle . 2017 . Peer-reviewedData sources: Publikationer från Stockholms universiteteScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2017 . Peer-reviewedMunin - Open Research ArchiveArticle . 2017 . Peer-reviewedData sources: Munin - Open Research ArchiveAtmospheric Chemistry and Physics (ACP)Article . 2017 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-17-11135-2017&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 90 citations 90 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2017 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/247941fpData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2017License: CC BYFull-Text: http://hdl.handle.net/10044/1/55004Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2017Full-Text: https://hal.science/hal-02414578Data sources: Bielefeld Academic Search Engine (BASE)DSpace@MIT (Massachusetts Institute of Technology)Article . 2018License: CC BYFull-Text: http://dx.doi.org/10.5194/ACP-17-11135-2017Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-02414578Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2017Full-Text: https://doi.org/10.5194/acp-17-11135-2017Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-02414578Data sources: Bielefeld Academic Search Engine (BASE)Atmospheric Chemistry and Physics (ACP)Article . 2017 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/acp-20...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Chemistry and Physics (ACP)Other literature type . 2017Data sources: DANS (Data Archiving and Networked Services)Atmospheric Chemistry and Physics (ACP)Review . 2017Spiral - Imperial College Digital RepositoryArticle . 2017Data sources: Spiral - Imperial College Digital RepositoryHAL-Ecole des Ponts ParisTechArticle . 2017License: CC BYData sources: HAL-Ecole des Ponts ParisTechPublikationer från Stockholms universitetArticle . 2017 . Peer-reviewedData sources: Publikationer från Stockholms universiteteScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2017 . Peer-reviewedMunin - Open Research ArchiveArticle . 2017 . Peer-reviewedData sources: Munin - Open Research ArchiveAtmospheric Chemistry and Physics (ACP)Article . 2017 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-17-11135-2017&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Other ORP type 2013 United Kingdom, Germany, Germany, United States, Norway, Belgium, United States, France, Netherlands, United States, Netherlands, Switzerland, Australia, United Kingdom, United KingdomPublisher:Copernicus GmbH Funded by:EC | COMBINE, EC | GEOCARBON, EC | CARBOCHANGE +4 projectsEC| COMBINE ,EC| GEOCARBON ,EC| CARBOCHANGE ,RCN| Support for the Scientific Steering Committee of the Global Carbon Project ,EC| EMBRACE ,NSF| Collaborative Research: Improved Regional and Decadal Predictions of the Carbon Cycle ,EC| LUC4CPieter P. Tans; C. Le Quéré; Sönke Zaehle; Atul K. Jain; Fabienne Maignan; Jörg Schwinger; Jörg Schwinger; Dorothee C. E. Bakker; Steve D Jones; Geun-Ha Park; Christian Rödenbeck; Laurent Bopp; Arne Körtzinger; Abdirahman M Omar; Bronte Tilbrook; Gregg Marland; T. Ono; Joachim Segschneider; Thomas A. Boden; Richard A. Houghton; Andy Wiltshire; Pierre Regnier; Louise Chini; Philippe Ciais; Joanna Isobel House; Taro Takahashi; Almut Arneth; Glen P. Peters; Josep G. Canadell; Etsushi Kato; Robert J. Andres; Kees Klein Goldewijk; Benjamin Poulter; Anna B. Harper; Rik Wanninkhof; Pierre Friedlingstein; Michael R. Raupach; Benjamin D. Stocker; Stephen Sitch; Ralph F. Keeling; Benjamin Pfeil; Benjamin Pfeil; Robbie M. Andrew; S. van Heuven; Charles D. Koven; R. Moriarty; S. Saito; Nathalie Lefèvre; Scott C. Doney; Ian Harris; A. Arvanitis; Nicolas Viovy;Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe datasets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil-fuel combustion and cement production (EFF) are based on energy statistics, while emissions from Land-Use Change (ELUC), including deforestation, are based on combined evidence from land-cover change data, fire activity in regions undergoing deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated for the first time in this budget with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of Dynamic Global Vegetation Models. All uncertainties are reported as ± 1 sigma, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2003–2012), EFF was 8.6 ± 0.4 GtC yr−1, ELUC 0.8 ± 0.5 GtC yr−1, GATM 4.3 ± 0.1 GtC yr−1, SOCEAN 2.6 ± 0.5 GtC yr−1, and SLAND 2.6 ± 0.8 GtC yr−1. For year 2012 alone, EFF grew to 9.7 ± 0.5 GtC yr−1, 2.2% above 2011, reflecting a continued trend in these emissions; GATM was 5.2 ± 0.2 GtC yr−1, SOCEAN was 2.9 ± 0.5 GtC yr−1, and assuming and ELUC of 0.9 ± 0.5 GtC yr−1 (based on 2001–2010 average), SLAND was 2.5 ± 0.9 GtC yr−1. GATM was high in 2012 compared to the 2003–2012 average, almost entirely reflecting the high EFF. The global atmospheric CO2 concentration reached 392.52 ± 0.10 ppm on average over 2012. We estimate that EFF will increase by 2.1% (1.1–3.1%) to 9.9 ± 0.5 GtC in 2013, 61% above emissions in 1990, based on projections of World Gross Domestic Product and recent changes in the carbon intensity of the economy. With this projection, cumulative emissions of CO2 will reach about 550 ± 60 GtC for 1870–2013, 70% from EFF (390 ± 20 GtC) and 30% from ELUC (160 ± 55 GtC). This paper is intended to provide a baseline to keep track of annual carbon budgets in the future. All data presented here can be downloaded from the Carbon Dioxide Information Analysis Center (10.3334/CDIAC/GCP_2013_v1.1).
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2014 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2014 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2015License: CC BYFull-Text: https://hdl.handle.net/1956/10495Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2015License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2014License: CC BYFull-Text: https://doi.org/10.3334/CDIAC/GCP_2013_V2.3Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Australian National University: ANU Digital CollectionsArticleFull-Text: http://hdl.handle.net/1885/74928Data sources: Bielefeld Academic Search Engine (BASE)Columbia University Academic CommonsArticle . 2014Full-Text: https://doi.org/10.7916/D8319V8NData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essdd-...Article . 2013 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefNorwegian Open Research ArchivesOther ORP type . 2014Data sources: Norwegian Open Research ArchivesBergen Open Research Archive - UiBArticle . 2014 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2014Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essdd-6-689-2013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 384 citations 384 popularity Top 1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2014 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2014 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2015License: CC BYFull-Text: https://hdl.handle.net/1956/10495Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2015License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2014License: CC BYFull-Text: https://doi.org/10.3334/CDIAC/GCP_2013_V2.3Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Australian National University: ANU Digital CollectionsArticleFull-Text: http://hdl.handle.net/1885/74928Data sources: Bielefeld Academic Search Engine (BASE)Columbia University Academic CommonsArticle . 2014Full-Text: https://doi.org/10.7916/D8319V8NData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essdd-...Article . 2013 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefNorwegian Open Research ArchivesOther ORP type . 2014Data sources: Norwegian Open Research ArchivesBergen Open Research Archive - UiBArticle . 2014 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2014Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essdd-6-689-2013&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Journal , Research , Preprint 2013 Netherlands, United Kingdom, NetherlandsPublisher:Elsevier BV Publicly fundedSeán Lyons; Seán Lyons; Franco Mariuzzo; Richard S.J. Tol; Áine Driscoll; Áine Driscoll;We have modelled the market for new cars in Ireland with the aim of quantifying the values placed on a range of observable car characteristics. Mid-sized petrol cars with a manual transmission sell best. Price and perhaps fuel cost are negatively associated with sales, and acceleration and perhaps range are positively associated. Hybrid cars are popular. The values of car characteristics are then used to simulate the likely market shares of three new electric vehicles. Electric vehicles tend to be more expensive even after tax breaks and subsidies are applied, but we assume their market shares would benefit from an "environmental" premium similar to those of hybrid cars. The "environmental" premium and the level of subsidies would need to be raised to incredible levels to reach the government target of 10% market penetration of all-electric vehicles.
Research Papers in E... arrow_drop_down Research Papers in EconomicsPreprint . 2012Full-Text: http://www.esri.ie/pubs/WP437.pdfData sources: Research Papers in EconomicsEnergy PolicyArticle . 2013University of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enpol.2013.07.061&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu24 citations 24 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Research Papers in E... arrow_drop_down Research Papers in EconomicsPreprint . 2012Full-Text: http://www.esri.ie/pubs/WP437.pdfData sources: Research Papers in EconomicsEnergy PolicyArticle . 2013University of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enpol.2013.07.061&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Journal 2017 France, United Kingdom, France, France, United Kingdom, Germany, Germany, France, Netherlands, Germany, Australia, Spain, Austria, France, Australia, Switzerland, France, France, United KingdomPublisher:Copernicus GmbH Funded by:NWO | The distribution and evol..., EC | IMBALANCE-P, EC | RINGO +9 projectsNWO| The distribution and evolution of inert and reactant scalars: from the atmospheric boundary layer to continental scales ,EC| IMBALANCE-P ,EC| RINGO ,RCN| Jordsystem-modellering av klimaforandringer i den antroposene tidsalder; Earth system modelling of climate Variations in the Anthropocene ,EC| CRESCENDO ,EC| HELIX ,EC| QUINCY ,EC| LUC4C ,EC| FIBER ,SNSF| Geschichte der Bausteinbearbeitung, insbesondere in der westlichen Schweiz ,RCN| Integrated Carbon Observation System (ICOS)-Norway and Ocean Thematic Centre (OTC) ,RCN| CICEP-Strategic Challenges in International Climate and Energy PolicyBronte Tilbrook; Bronte Tilbrook; Jessica N. Cross; Guido R. van der Werf; Yukihiro Nojiri; Denis Pierrot; Denis Pierrot; Arne Körtzinger; Andrew J. Watson; Nathalie Lefèvre; Nicolas Metzl; Andrew Lenton; Andrew Lenton; X. Antonio Padin; David R. Munro; Andrew C. Manning; Philippe Ciais; Leticia Barbero; Leticia Barbero; Kees Klein Goldewijk; Kees Klein Goldewijk; Markus Kautz; Ivan D. Lima; Benjamin Poulter; Benjamin Poulter; Sebastian Lienert; Sebastian Lienert; Pieter P. Tans; Oliver Andrews; George C. Hurtt; Janet J. Reimer; Ingunn Skjelvan; Peter Landschützer; Francesco N. Tubiello; Thomas A. Boden; Anthony P. Walker; Pedro M. S. Monteiro; Kim I. Currie; Robert B. Jackson; Vivek K. Arora; Meike Becker; Meike Becker; Benjamin D. Stocker; Nicolas Vuichard; Tatiana Ilyina; Richard A. Houghton; Stephen Sitch; Sönke Zaehle; Christian Rödenbeck; Dorothee C. E. Bakker; Judith Hauck; Jörg Schwinger; Julia E. M. S. Nabel; Jan Ivar Korsbakken; Frédéric Chevallier; Andy Wiltshire; Ralph F. Keeling; Catherine E Cosca; Thomas Gasser; Ingrid T. van der Laan-Luijkx; Richard Betts; Richard Betts; Shin-Ichiro Nakaoka; Ian Harris; Robbie M. Andrew; Roland Séférian; Pierre Friedlingstein; Steven van Heuven; Christopher W. Hunt; Laurent Bopp; Dan Zhu; Julia Pongratz; Gregor Rehder; Louise Chini; Nicolas Viovy; Frank J. Millero; Etsushi Kato; Benjamin Pfeil; Benjamin Pfeil; Glen P. Peters; Josep G. Canadell; Anna Peregon; Atul K. Jain; Corinne Le Quéré; Danica Lombardozzi; Vanessa Haverd; Hanqin Tian;Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the "global carbon budget" – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of our imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2007–2016), EFF was 9.4 ± 0.5 GtC yr−1, ELUC 1.3 ± 0.7 GtC yr−1, GATM 4.7 ± 0.1 GtC yr−1, SOCEAN 2.4 ± 0.5 GtC yr−1, and SLAND 3.0 ± 0.8 GtC yr−1, with a budget imbalance BIM of 0.6 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9 ± 0.5 GtC yr−1. Also for 2016, ELUC was 1.3 ± 0.7 GtC yr−1, GATM was 6.1 ± 0.2 GtC yr−1, SOCEAN was 2.6 ± 0.5 GtC yr−1 and SLAND was 2.7 ± 1.0 GtC yr−1, with a small BIM of −0.3 GtC. GATM continued to be higher in 2016 compared to the past decade (2007–2016), reflecting in part the higher fossil emissions and smaller SLAND for that year consistent with El Niño conditions. The global atmospheric CO2 concentration reached 402.8 ± 0.1 ppm averaged over 2016. For 2017, preliminary data indicate a renewed growth in EFF of +2.0 % (range of 0.8 % to 3.0 %) based on national emissions projections for China, USA, and India, and projections of Gross Domestic Product corrected for recent changes in the carbon intensity of the economy for the rest of the world. For 2017, initial data indicate an increase in atmospheric CO2 concentration of around 5.3 GtC (2.5 ppm), attributed to a combination of increasing emissions and receding El Niño conditions. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Quéré et al., 2016; 2015b; 2015a; 2014; 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2018 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2018 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)KITopen (Karlsruhe Institute of Technologie)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10871/32317Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2018License: CC BYFull-Text: https://doi.org/10.18160/GCP-2017Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essd-2...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)DANS (Data Archiving and Networked Services)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Recolector de Ciencia Abierta, RECOLECTAArticle . 2018 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAEarth System Science Data (ESSD)Article . 2018Earth System Science Data (ESSD)Review . 2018License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2018License: CC BYData sources: Wageningen Staff PublicationsElectronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CenterElectronic Publication Information CenterArticle . 2018Data sources: Electronic Publication Information CenterEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2018Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1K citations 1,019 popularity Top 0.1% influence Top 0.1% impulse Top 0.01% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2018 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2018 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)KITopen (Karlsruhe Institute of Technologie)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10871/32317Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2018License: CC BYFull-Text: https://doi.org/10.18160/GCP-2017Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essd-2...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)DANS (Data Archiving and Networked Services)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Recolector de Ciencia Abierta, RECOLECTAArticle . 2018 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAEarth System Science Data (ESSD)Article . 2018Earth System Science Data (ESSD)Review . 2018License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2018License: CC BYData sources: Wageningen Staff PublicationsElectronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CenterElectronic Publication Information CenterArticle . 2018Data sources: Electronic Publication Information CenterEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2018Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018 Netherlands, Australia, Germany, France, Germany, United Kingdom, Netherlands, Germany, Switzerland, Germany, Netherlands, Germany, Netherlands, Netherlands, Netherlands, Australia, Germany, United KingdomPublisher:Copernicus GmbH Publicly fundedFunded by:RCN | Integrated Carbon Observa..., UKRI | Amazon Integrated Carbon ..., EC | AtlantOS +10 projectsRCN| Integrated Carbon Observation System (ICOS)-Norway and Ocean Thematic Centre (OTC) ,UKRI| Amazon Integrated Carbon Analysis / AMAZONICA ,EC| AtlantOS ,NWO| The distribution and evolution of inert and reactant scalars: from the atmospheric boundary layer to continental scales ,RCN| CICEP-Strategic Challenges in International Climate and Energy Policy ,EC| CRESCENDO ,EC| RINGO ,EC| FIXO3 ,EC| IMBALANCE-P ,EC| VERIFY ,EC| GEOCARBON ,RCN| Jordsystem-modellering av klimaforandringer i den antroposene tidsalder; Earth system modelling of climate Variations in the Anthropocene ,EC| QUINCYC. Le Quéré; R. M. Andrew; P. Friedlingstein; S. Sitch; J. Hauck; J. Pongratz; J. Pongratz; P. A. Pickers; J. I. Korsbakken; G. P. Peters; J. G. Canadell; A. Arneth; V. K. Arora; L. Barbero; L. Barbero; A. Bastos; L. Bopp; F. Chevallier; L. P. Chini; P. Ciais; S. C. Doney; T. Gkritzalis; D. S. Goll; I. Harris; V. Haverd; F. M. Hoffman; M. Hoppema; R. A. Houghton; G. Hurtt; T. Ilyina; A. K. Jain; T. Johannessen; C. D. Jones; E. Kato; R. F. Keeling; K. K. Goldewijk; K. K. Goldewijk; P. Landschützer; N. Lefèvre; S. Lienert; Z. Liu; Z. Liu; D. Lombardozzi; N. Metzl; D. R. Munro; J. E. M. S. Nabel; S.-I. Nakaoka; C. Neill; C. Neill; A. Olsen; T. Ono; P. Patra; A. Peregon; W. Peters; W. Peters; P. Peylin; B. Pfeil; B. Pfeil; D. Pierrot; D. Pierrot; B. Poulter; G. Rehder; L. Resplandy; E. Robertson; M. Rocher; C. Rödenbeck; U. Schuster; J. Schwinger; R. Séférian; I. Skjelvan; T. Steinhoff; A. Sutton; P. P. Tans; H. Tian; B. Tilbrook; B. Tilbrook; F. N. Tubiello; I. T. van der Laan-Luijkx; G. R. van der Werf; N. Viovy; A. P. Walker; A. J. Wiltshire; R. Wright; R. Wright; S. Zaehle; B. Zheng;Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFF) are based on energy statistics and cement production data, while emissions from land use and land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2008–2017), EFF was 9.4±0.5 GtC yr−1, ELUC 1.5±0.7 GtC yr−1, GATM 4.7±0.02 GtC yr−1, SOCEAN 2.4±0.5 GtC yr−1, and SLAND 3.2±0.8 GtC yr−1, with a budget imbalance BIM of 0.5 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For the year 2017 alone, the growth in EFF was about 1.6 % and emissions increased to 9.9±0.5 GtC yr−1. Also for 2017, ELUC was 1.4±0.7 GtC yr−1, GATM was 4.6±0.2 GtC yr−1, SOCEAN was 2.5±0.5 GtC yr−1, and SLAND was 3.8±0.8 GtC yr−1, with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 405.0±0.1 ppm averaged over 2017. For 2018, preliminary data for the first 6–9 months indicate a renewed growth in EFF of +2.7 % (range of 1.8 % to 3.7 %) based on national emission projections for China, the US, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. The analysis presented here shows that the mean and trend in the five components of the global carbon budget are consistently estimated over the period of 1959–2017, but discrepancies of up to 1 GtC yr−1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations show (1) no consensus in the mean and trend in land-use change emissions, (2) a persistent low agreement among the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent underestimation of the CO2 variability by ocean models, originating outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding the global carbon cycle compared with previous publications of this data set (Le Quéré et al., 2018, 2016, 2015a, b, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2018.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2018 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2018 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Open Research ExeterArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10871/35123Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2018Full-Text: https://hal.science/hal-01951197Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2018Full-Text: https://hal.science/hal-01951197Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018Full-Text: https://hal.science/hal-01951197Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Earth System Science Data (ESSD)Article . 2018License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2018License: CC BYData sources: Wageningen Staff PublicationsElectronic Publication Information CenterArticle . 2018Data sources: Electronic Publication Information CenterArchiMer - Institutional Archive of IfremerOther literature type . 2018Data sources: ArchiMer - Institutional Archive of IfremerEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1K citations 1,246 popularity Top 0.01% influence Top 0.1% impulse Top 0.01% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2018 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2018 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Open Research ExeterArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10871/35123Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2018Full-Text: https://hal.science/hal-01951197Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2018Full-Text: https://hal.science/hal-01951197Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018Full-Text: https://hal.science/hal-01951197Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Earth System Science Data (ESSD)Article . 2018License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2018License: CC BYData sources: Wageningen Staff PublicationsElectronic Publication Information CenterArticle . 2018Data sources: Electronic Publication Information CenterArchiMer - Institutional Archive of IfremerOther literature type . 2018Data sources: ArchiMer - Institutional Archive of IfremerEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 FinlandPublisher:MDPI AG Kevin Joseph Dillman; Áróra Árnadóttir; Jukka Heinonen; Michał Czepkiewicz; Brynhildur Davíðsdóttir;doi: 10.3390/su12229390
Electric vehicles (EVs) are often considered a potential solution to mitigate greenhouse gas (GHG) emissions originating from personal transport vehicles, but this has also been questioned due to their high production emissions. In this study, we performed an extensive literature review of existing EV life-cycle assessments (LCAs) and a meta-analysis of the studies in the review, extracting life-cycle GHG emission data combined with a standardized methodology for estimating GHG electrical grid intensities across the European Economic Area (EEA), which were used to estimate a set of environmental breakeven points for each EEA country. A Monte Carlo simulation was performed to provide sensitivity analysis. The results of the review suggest a need for greater methodological and data transparency within EV LCA research. The meta-analysis found a subset of countries across the EEA where there is a potential that EVs could lead to greater life-cycle GHG emissions than a comparable diesel counterpart. A policy discussion highlights how EV policies in countries with contrasting GHG electric grid intensities may not reflect the current techno-environmental reality. This paper emphasizes the importance for researchers to accurately depict life-cycle vehicle emissions and the need for EEA countries to enact policies corresponding to their respective contextual conditions to avoid potentially enacting policies that could lead to greater GHG emissions.
Sustainability arrow_drop_down Aaltodoc Publication ArchiveArticle . 2020 . Peer-reviewedData sources: Aaltodoc Publication Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su12229390&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 48 citations 48 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Sustainability arrow_drop_down Aaltodoc Publication ArchiveArticle . 2020 . Peer-reviewedData sources: Aaltodoc Publication Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su12229390&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017Embargo end date: 05 Jul 2017 Germany, Germany, United KingdomPublisher:Frontiers Media SA Funded by:EC | EU BONEC| EU BONCorinne S. Martin; Kelly Malsch; Thomas M. Brooks; Thomas M. Brooks; Thomas M. Brooks; Tim Wilkinson; Lauren V. Weatherdon; Diego Juffe-Bignoli; Katherine Despot-Belmonte; Stephen Fletcher; Stephen Fletcher; Kristin Kaschner; Nadine Bowles-Newark; Frances E. Davis; Craig Hilton-Taylor; Cristina Garilao; David Christian Rose; Eugenie Regan; Ward Appeltans; Florian Wetzel; Tim Hirsch; Naomi Kingston; Kathleen Kesner-Reyes;Les données sur la biodiversité et la conservation sont généralement coûteuses à collecter, en particulier dans le domaine marin. Par conséquent, les données collectées pour un objectif scientifique donné sont parfois utilisées pour répondre à des besoins secondaires, tels que la mise en œuvre de politiques ou d'autres types de prise de décision. Cependant, bien que la qualité et l'accessibilité des données sur la biodiversité marine et la conservation se soient améliorées au cours de la dernière décennie, les façons dont ces données peuvent être utilisées pour élaborer et mettre en œuvre des mesures et des actions de gestion et de conservation pertinentes ne sont pas toujours explicites. Pour cette raison, il existe un certain nombre d'ensembles de données scientifiquement solides qui ne sont pas utilisés systématiquement pour éclairer les politiques et les décisions. La transformation de ces ensembles de données sur la biodiversité marine et la conservation en produits de connaissances qui transmettent les informations requises par les décideurs et les décideurs est une étape importante dans le renforcement de l'échange de connaissances à travers l'interface science-politique. Ici, nous identifions sept caractéristiques d'une sélection de produits de connaissances en ligne sur la biodiversité et la conservation qui contribuent à leur capacité à soutenir les politiques et la prise de décision dans le domaine marin (telles que mesurées par exemple par les mentions dans les résolutions/décisions politiques ou l'utilisation pour les rapports dans le cadre de certains instruments politiques ; utilisation dans le filtrage de haut niveau pour les domaines d'importance pour la biodiversité). Ces caractéristiques comprennent : un mandat politique clair ; des réseaux de collaborateurs établis ; la co-conception itérative d'une interface conviviale ; des méthodes normalisées, complètes et documentées avec assurance qualité ; une capacité cohérente et une planification de la relève ; des données accessibles et des produits à valeur ajoutée adaptés à l'objectif ; et des mesures d'utilisation rassemblées et rapportées. Les résultats de cet examen visent à : (a) aider les créateurs/propriétaires/fournisseurs de données à concevoir et à organiser des produits de connaissances sur la biodiversité et la conservation qui ont une plus grande influence, et donc un impact, sur les politiques et la prise de décision, et (b) fournir des recommandations sur la manière dont les décideurs et les décideurs peuvent soutenir le développement, la mise en œuvre et la durabilité de produits robustes de connaissances sur la biodiversité et la conservation à travers l'élaboration de politiques marines et de cadres décisionnels. La recopilación de datos sobre biodiversidad y protección suele ser costosa, especialmente en el ámbito marino. Por lo tanto, los datos recopilados para un propósito dado, a menudo científico, ocasionalmente se contribuyen a necesidades secundarias, como la implementación de políticas u otros tipos de toma de decisiones. Sin embargo, si bien la calidad y la accesibilidad de los datos sobre biodiversidad marina y protección han mejorado en la última década, las formas en que estos datos se pueden utilizar para desarrollar e implementar medidas y acciones de gestión y protección relevantes no siempre son explícitas. Por esta razón, hay una serie de conjuntos de datos científicamente sólidos que no se utilizan sistemáticamente para informar las políticas y las decisiones. Transformar estos conjuntos de datos sobre biodiversidad marina y conservación en productos de conocimiento que transmitan la información requerida por los responsables de la formulación de políticas y la toma de decisiones es un paso importante para fortalecer el intercambio de conocimientos a través de la interfaz ciencia-política. Aquí, identificamos siete características de una selección de productos de conocimiento en línea sobre biodiversidad y conservación que contribuyen a su capacidad para apoyar las políticas y la toma de decisiones en el ámbito marino (según lo medido, por ejemplo, por las menciones en las resoluciones/decisiones de políticas, o el uso para la presentación de informes en virtud de instrumentos de política seleccionados; uso en la detección de alto nivel para áreas de importancia para la biodiversidad). Estas características incluyen: un mandato político claro; redes establecidas de colaboradores; co-diseño iterativo de una interfaz fácil de usar; métodos estandarizados, integrales y documentados con garantía de calidad; capacidad consistente y planificación de sucesión; datos accesibles y productos de valor agregado que son adecuados para el propósito; y métricas de uso cotejadas e informadas. Los resultados de esta revisión tienen como objetivo: (a) apoyar a los creadores/propietarios/proveedores de datos en el diseño y la selección de productos de conocimiento sobre biodiversidad y conservación que tengan mayor influencia y, por lo tanto, impacto en las políticas y la toma de decisiones, y (b) proporcionar recomendaciones sobre cómo los responsables de la toma de decisiones y políticas pueden apoyar el desarrollo, la implementación y la sostenibilidad de productos sólidos de conocimiento sobre biodiversidad y conservación a través de la formulación de políticas marinas y marcos de toma de decisiones. Biodiversity and conservation data are generally costly to collect, particularly in the marine realm. Hence, data collected for a given—often scientific—purpose are occasionally contributed towards secondary needs, such as policy implementation or other types of decision-making. However, while the quality and accessibility of marine biodiversity and conservation data have improved over the past decade, the ways in which these data can be used to develop and implement relevant management and conservation measures and actions are not always explicit. For this reason, there are a number of scientifically-sound datasets that are not used systematically to inform policy and decisions. Transforming these marine biodiversity and conservation datasets into knowledge products that convey the information required by policy- and decision-makers is an important step in strengthening knowledge exchange across the science-policy interface. Here, we identify seven characteristics of a selection of online biodiversity and conservation knowledge products that contribute to their ability to support policy- and decision-making in the marine realm (as measured by e.g. mentions in policy resolutions/decisions, or use for reporting under selected policy instruments; use in high-level screening for areas of biodiversity importance). These characteristics include: a clear policy mandate; established networks of collaborators; iterative co-design of a user-friendly interface; standardised, comprehensive and documented methods with quality assurance; consistent capacity and succession planning; accessible data and value-added products that are fit-for-purpose; and metrics of use collated and reported. The outcomes of this review are intended to: (a) support data creators/owners/providers in designing and curating biodiversity and conservation knowledge products that have greater influence, and hence impact, in policy- and decision-making, and (b) provide recommendations for how decision- and policy-makers can support the development, implementation, and sustainability of robust biodiversity and conservation knowledge products through the framing of marine policy and decision-making frameworks. إن جمع بيانات التنوع البيولوجي والحفظ مكلف بشكل عام، لا سيما في المجال البحري. وبالتالي، فإن البيانات التي يتم جمعها لغرض علمي معين في كثير من الأحيان تساهم أحيانًا في تلبية الاحتياجات الثانوية، مثل تنفيذ السياسات أو أنواع أخرى من صنع القرار. ومع ذلك، في حين تحسنت جودة بيانات التنوع البيولوجي البحري والحفظ وإمكانية الوصول إليها على مدى العقد الماضي، فإن الطرق التي يمكن بها استخدام هذه البيانات لتطوير وتنفيذ تدابير وإجراءات الإدارة والحفظ ذات الصلة ليست واضحة دائمًا. لهذا السبب، هناك عدد من مجموعات البيانات السليمة علميًا التي لا يتم استخدامها بشكل منهجي لإبلاغ السياسات والقرارات. يعد تحويل مجموعات بيانات التنوع البيولوجي البحري والحفظ هذه إلى منتجات معرفية تنقل المعلومات المطلوبة من قبل صانعي السياسات والقرارات خطوة مهمة في تعزيز تبادل المعرفة عبر واجهة العلوم والسياسات. هنا، نحدد سبع خصائص لمجموعة مختارة من المنتجات المعرفية للتنوع البيولوجي والحفظ عبر الإنترنت والتي تساهم في قدرتها على دعم السياسات وصنع القرار في المجال البحري (كما تم قياسها على سبيل المثال بالإشارات في قرارات/مقررات السياسة، أو استخدامها للإبلاغ بموجب أدوات سياسة مختارة ؛ واستخدامها في الفحص رفيع المستوى للمجالات ذات أهمية التنوع البيولوجي). وتشمل هذه الخصائص: تفويض واضح للسياسة ؛ وشبكات راسخة من المتعاونين ؛ وتصميم مشترك تكراري لواجهة سهلة الاستخدام ؛ وأساليب موحدة وشاملة وموثقة مع ضمان الجودة ؛ وتخطيط متسق للقدرات والتعاقب ؛ وبيانات يمكن الوصول إليها ومنتجات ذات قيمة مضافة مناسبة للغرض ؛ ومقاييس الاستخدام التي تم جمعها والإبلاغ عنها. تهدف نتائج هذا الاستعراض إلى: (أ) دعم منشئي/مالكي/مقدمي البيانات في تصميم وتنسيق منتجات معارف التنوع البيولوجي والحفظ التي لها تأثير أكبر، وبالتالي تأثير، في صنع السياسات وصنع القرار، و (ب) تقديم توصيات حول كيفية دعم صانعي القرار والسياسات لتطوير وتنفيذ واستدامة منتجات معرفية قوية للتنوع البيولوجي والحفظ من خلال صياغة السياسات البحرية وأطر صنع القرار.
Frontiers in Marine ... arrow_drop_down University of East Anglia digital repositoryArticle . 2017 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of Freiburg: FreiDokArticle . 2017Full-Text: https://freidok.uni-freiburg.de/data/137903Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.3389/fmar...Other literature typeData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 47 citations 47 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Frontiers in Marine ... arrow_drop_down University of East Anglia digital repositoryArticle . 2017 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of Freiburg: FreiDokArticle . 2017Full-Text: https://freidok.uni-freiburg.de/data/137903Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.3389/fmar...Other literature typeData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 United States, Australia, Australia, France, Netherlands, Germany, NetherlandsPublisher:Springer Science and Business Media LLC Funded by:NSF | Quantifying the Duration ...NSF| Quantifying the Duration and Impact of Human-Megafauna Overlap in AustraliaScott J. Lehman; Gifford H. Miller; Gifford H. Miller; Joachim Schönfeld; Ellyn J. Cook; A. Peter Kershaw; Sander van der Kaars; Sander van der Kaars; Chris S. M. Turney; Dirk Nürnberg;AbstractEnvironmental histories that span the last full glacial cycle and are representative of regional change in Australia are scarce, hampering assessment of environmental change preceding and concurrent with human dispersal on the continent ca. 47,000 years ago. Here we present a continuous 150,000-year record offshore south-western Australia and identify the timing of two critical late Pleistocene events: wide-scale ecosystem change and regional megafaunal population collapse. We establish that substantial changes in vegetation and fire regime occurred ∼70,000 years ago under a climate much drier than today. We record high levels of the dung fungus Sporormiella, a proxy for herbivore biomass, from 150,000 to 45,000 years ago, then a marked decline indicating megafaunal population collapse, from 45,000 to 43,100 years ago, placing the extinctions within 4,000 years of human dispersal across Australia. These findings rule out climate change, and implicate humans, as the primary extinction cause.
OceanRep arrow_drop_down ArchiMer - Institutional Archive of IfremerOther literature type . 2017Data sources: ArchiMer - Institutional Archive of Ifremeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 81 citations 81 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert OceanRep arrow_drop_down ArchiMer - Institutional Archive of IfremerOther literature type . 2017Data sources: ArchiMer - Institutional Archive of Ifremeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Journal 2018 Germany, NetherlandsPublisher:Elsevier BV Authors: Stacey M. Trevathan-Tackett; Laura L. Govers; Laura L. Govers; Sigrid Neuhauser; +1 AuthorsStacey M. Trevathan-Tackett; Laura L. Govers; Laura L. Govers; Sigrid Neuhauser; Brooke K. Sullivan;pmid: 28965923
pmc: PMC6445351
Human-induced global change is expected to amplify the disease risk for marine biota. However, the role of disease in the rapid global decline of seagrass is largely unknown. Global change may enhance seagrass susceptibility to disease through enhanced physiological stress, while simultaneously promoting pathogen development. This review outlines the characteristics of disease-forming organisms and potential impacts of global change on three groups of known seagrass pathogens: labyrinthulids, oomycetes and Phytomyxea. We propose that hypersalinity, climate warming and eutrophication pose the greatest risk for increasing frequency of disease outbreaks in seagrasses by increasing seagrass stress and lowering seagrass resilience. In some instances, global change may also promote pathogen development. However, there is currently a paucity of information on these seagrass pathosystems. We emphasise the need to expand current research to better understand the seagrass-pathogen relationships, serving to inform predicative modelling and management of seagrass disease under future global change scenarios.
Marine Pollution Bul... arrow_drop_down Marine Pollution BulletinOther literature type . 2018Data sources: DANS (Data Archiving and Networked Services)Marine Pollution BulletinReview . 2018License: taverneData sources: University of Groningen Research PortalMarine Pollution BulletinArticle . 2018 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesbronze 78 citations 78 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Marine Pollution Bul... arrow_drop_down Marine Pollution BulletinOther literature type . 2018Data sources: DANS (Data Archiving and Networked Services)Marine Pollution BulletinReview . 2018License: taverneData sources: University of Groningen Research PortalMarine Pollution BulletinArticle . 2018 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 Italy, Croatia, Lithuania, Italy, Ireland, Croatia, Turkey, Croatia, Portugal, Cyprus, Lithuania, Slovenia, Turkey, Turkey, Italy, Croatia, Turkey, Germany, Slovenia, SloveniaPublisher:Frontiers Media SA Publicly fundedFunded by:RCN | Downsizing light harvesti..., RCN | The Norwegian Seaweed Bio..., EC | MARINA +9 projectsRCN| Downsizing light harvesting antennae to scale up production potential and valorization from cultivation of marine microalgae. ,RCN| The Norwegian Seaweed Biorefinery Platform (SBP-N) ,EC| MARINA ,EC| GoJelly ,GSRI ,RCN| PROMAC: Energy efficient PROcessing of MACroalgae in blue-green value chains ,FCT| IF/00700/2014/CP1224/CT0007 ,FCT| CIIMAR ,FCT| Centre of Marine Sciences ,EC| SurfBio ,FCT| CIIMAR ,FCT| Applied Molecular Biosciences UnitAna Rotter; Ariola Bacu; Michèle Barbier; Francesco Bertoni; Atle M. Bones; M. Leonor Cancela; Jens Carlsson; Maria F. Carvalho; Marta Cegłowska; Meltem Conk Dalay; Thanos Dailianis; Irem Deniz; Dragana Drakulovic; Arita Dubnika; Hjörleifur Einarsson; Ayşegül Erdoğan; Orhan Tufan Eroldoğan; David Ezra; Stefano Fazi; Richard J. FitzGerald; Laura M. Gargan; Susana P. Gaudêncio; Nadica Ivošević DeNardis; Danijela Joksimovic; Marija Kataržytė; Jonne Kotta; Manolis Mandalakis; Inga Matijošytė; Hanna Mazur-Marzec; Alexia Massa-Gallucci; Mohamed Mehiri; Søren Laurentius Nielsen; Lucie Novoveská; Donata Overlingė; Michelle E. Portman; Krzysztof Pyrc; Céline Rebours; Thorsten Reinsch; Fernando Reyes; Baruch Rinkevich; Johan Robbens; Vita Rudovica; Jerica Sabotič; Ivo Safarik; Ivo Safarik; Siret Talve; Deniz Tasdemir; Deniz Tasdemir; Xenia Theodotou Schneider; Olivier P. Thomas; Anna Toruńska-Sitarz; Giovanna Cristina Varese; Marlen I. Vasquez;handle: 20.500.14243/424541 , 20.500.14279/19246 , 11454/62386 , 20.500.12481/11150 , 2318/1765862
Marine organisms produce a vast diversity of metabolites with biological activities useful for humans, e.g. cytotoxic, antioxidant, anti- microbial, insecticidal, herbicidal, anticancer, pro-osteogenic and pro-regenerative, analgesic, anti-inflammatory, anti-coagulant, cholesterol- lowering, nutritional, photoprotective, horticultural or other beneficial properties. These metabolites could help satisfy the increasing demand for alternative sources of nutraceuticals, pharmaceuticals, cosmeceuticals, food, feed, and novel bio-based products. In addition, marine biomass itself can serve as the source material for the production of various bulk commodities (e.g. biofuels, bioplastics, biomaterials). The sustainable exploitation of marine bio-resources and the development of biomolecules and polymers are also known as the growing field of marine biotechnology. Up to now, over 35, 000 natural products have been characterized from marine organisms, but many more are yet to be uncovered, as the vast diversity of biota in the marine systems remains largely unexplored. Since marine biotechnology is still in its infancy, there is a need to create effective, operational, inclusive, sustainable, transnational and transdisciplinary networks with a serious and ambitious commitment for knowledge transfer, training provision, dissemination of best practices and identification of the emerging technological trends through science communication activities. A collaborative (net)work is today compelling to provide innovative solutions and products that can be commercialized to contribute to the circular bioeconomy. This perspective article highlights the importance of establishing such collaborative frameworks using the example of Ocean4Biotech, an Action within the European Cooperation in Science and Technology (COST) that connects all and any stakeholders with an interest in marine biotechnology in Europe and beyond.
OceanRep arrow_drop_down Vilnius University Institutional RepositoryArticle . 2020Data sources: Vilnius University Institutional RepositoryCroatian Scientific Bibliography - CROSBIArticle . 2020Data sources: Croatian Scientific Bibliography - CROSBIdCOBISS.SI Digital RepositoryArticle . 2020License: CC BYData sources: dCOBISS.SI Digital RepositoryUniversity of Limerick Institutional RepositoryArticle . 2020 . Peer-reviewedData sources: University of Limerick Institutional RepositoryRepositório da Universidade Nova de LisboaArticle . 2020Data sources: Repositório da Universidade Nova de LisboaDigital repository of Slovenian research organizationsArticle . 2020License: CC BYData sources: Digital repository of Slovenian research organizationsEge University Institutional RepositoryArticle . 2020Data sources: Ege University Institutional RepositoryVirtual Library of Klaipeda UniversityArticle . 2020License: CC BYData sources: Virtual Library of Klaipeda UniversityFrontiers in Marine ScienceArticle . 2020 . Peer-reviewedData sources: European Union Open Data PortalManisa Celal Bayar Üniversitesi Akademik Arşiv SistemiArticle . 2020Data sources: Manisa Celal Bayar Üniversitesi Akademik Arşiv Sistemiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fmars.2020.00278&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 85 citations 85 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 80visibility views 80 download downloads 71 Powered bymore_vert OceanRep arrow_drop_down Vilnius University Institutional RepositoryArticle . 2020Data sources: Vilnius University Institutional RepositoryCroatian Scientific Bibliography - CROSBIArticle . 2020Data sources: Croatian Scientific Bibliography - CROSBIdCOBISS.SI Digital RepositoryArticle . 2020License: CC BYData sources: dCOBISS.SI Digital RepositoryUniversity of Limerick Institutional RepositoryArticle . 2020 . Peer-reviewedData sources: University of Limerick Institutional RepositoryRepositório da Universidade Nova de LisboaArticle . 2020Data sources: Repositório da Universidade Nova de LisboaDigital repository of Slovenian research organizationsArticle . 2020License: CC BYData sources: Digital repository of Slovenian research organizationsEge University Institutional RepositoryArticle . 2020Data sources: Ege University Institutional RepositoryVirtual Library of Klaipeda UniversityArticle . 2020License: CC BYData sources: Virtual Library of Klaipeda UniversityFrontiers in Marine ScienceArticle . 2020 . Peer-reviewedData sources: European Union Open Data PortalManisa Celal Bayar Üniversitesi Akademik Arşiv SistemiArticle . 2020Data sources: Manisa Celal Bayar Üniversitesi Akademik Arşiv Sistemiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fmars.2020.00278&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Review , Journal 2017 United States, United States, Norway, Italy, United Kingdom, United Kingdom, United Kingdom, Netherlands, Netherlands, United States, France, Germany, Austria, Italy, United Kingdom, Switzerland, SwedenPublisher:Copernicus GmbH Funded by:RCN | CICEP-Strategic Challenge..., EC | CDREG, EC | MACC II +3 projectsRCN| CICEP-Strategic Challenges in International Climate and Energy Policy ,EC| CDREG ,EC| MACC II ,EC| MACC-III ,NSERC ,EC| METLAKEM. Saunois; P. Bousquet; B. Poulter; A. Peregon; P. Ciais; J. G. Canadell; E. J. Dlugokencky; G. Etiope; G. Etiope; D. Bastviken; S. Houweling; S. Houweling; G. Janssens-Maenhout; F. N. Tubiello; S. Castaldi; S. Castaldi; S. Castaldi; R. B. Jackson; M. Alexe; V. K. Arora; D. J. Beerling; P. Bergamaschi; D. R. Blake; G. Brailsford; L. Bruhwiler; C. Crevoisier; P. Crill; K. Covey; C. Frankenberg; C. Frankenberg; N. Gedney; L. Höglund-Isaksson; M. Ishizawa; A. Ito; F. Joos; H.-S. Kim; T. Kleinen; P. Krummel; J.-F. Lamarque; R. Langenfelds; R. Locatelli; T. Machida; S. Maksyutov; J. R. Melton; I. Morino; V. Naik; S. O'Doherty; F.-J. W. Parmentier; P. K. Patra; C. Peng; C. Peng; S. Peng; S. Peng; G. P. Peters; I. Pison; R. Prinn; M. Ramonet; W. J. Riley; M. Saito; M. Santini; M. Santini; R. Schroeder; I. J. Simpson; R. Spahni; A. Takizawa; B. F. Thornton; H. Tian; Y. Tohjima; N. Viovy; A. Voulgarakis; R. Weiss; D. J. Wilton; A. Wiltshire; D. Worthy; D. Wunch; X. Xu; X. Xu; Y. Yoshida; B. Zhang; Z. Zhang; Z. Zhang; Q. Zhu;Abstract. Following the recent Global Carbon Project (GCP) synthesis of the decadal methane (CH4) budget over 2000–2012 (Saunois et al., 2016), we analyse here the same dataset with a focus on quasi-decadal and inter-annual variability in CH4 emissions. The GCP dataset integrates results from top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models (including process-based models for estimating land surface emissions and atmospheric chemistry), inventories of anthropogenic emissions, and data-driven approaches. The annual global methane emissions from top-down studies, which by construction match the observed methane growth rate within their uncertainties, all show an increase in total methane emissions over the period 2000–2012, but this increase is not linear over the 13 years. Despite differences between individual studies, the mean emission anomaly of the top-down ensemble shows no significant trend in total methane emissions over the period 2000–2006, during the plateau of atmospheric methane mole fractions, and also over the period 2008–2012, during the renewed atmospheric methane increase. However, the top-down ensemble mean produces an emission shift between 2006 and 2008, leading to 22 [16–32] Tg CH4 yr−1 higher methane emissions over the period 2008–2012 compared to 2002–2006. This emission increase mostly originated from the tropics, with a smaller contribution from mid-latitudes and no significant change from boreal regions. The regional contributions remain uncertain in top-down studies. Tropical South America and South and East Asia seem to contribute the most to the emission increase in the tropics. However, these two regions have only limited atmospheric measurements and remain therefore poorly constrained. The sectorial partitioning of this emission increase between the periods 2002–2006 and 2008–2012 differs from one atmospheric inversion study to another. However, all top-down studies suggest smaller changes in fossil fuel emissions (from oil, gas, and coal industries) compared to the mean of the bottom-up inventories included in this study. This difference is partly driven by a smaller emission change in China from the top-down studies compared to the estimate in the Emission Database for Global Atmospheric Research (EDGARv4.2) inventory, which should be revised to smaller values in a near future. We apply isotopic signatures to the emission changes estimated for individual studies based on five emission sectors and find that for six individual top-down studies (out of eight) the average isotopic signature of the emission changes is not consistent with the observed change in atmospheric 13CH4. However, the partitioning in emission change derived from the ensemble mean is consistent with this isotopic constraint. At the global scale, the top-down ensemble mean suggests that the dominant contribution to the resumed atmospheric CH4 growth after 2006 comes from microbial sources (more from agriculture and waste sectors than from natural wetlands), with an uncertain but smaller contribution from fossil CH4 emissions. In addition, a decrease in biomass burning emissions (in agreement with the biomass burning emission databases) makes the balance of sources consistent with atmospheric 13CH4 observations. In most of the top-down studies included here, OH concentrations are considered constant over the years (seasonal variations but without any inter-annual variability). As a result, the methane loss (in particular through OH oxidation) varies mainly through the change in methane concentrations and not its oxidants. For these reasons, changes in the methane loss could not be properly investigated in this study, although it may play a significant role in the recent atmospheric methane changes as briefly discussed at the end of the paper.
CORE arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2017 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/247941fpData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2017License: CC BYFull-Text: http://hdl.handle.net/10044/1/55004Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2017Full-Text: https://hal.science/hal-02414578Data sources: Bielefeld Academic Search Engine (BASE)DSpace@MIT (Massachusetts Institute of Technology)Article . 2018License: CC BYFull-Text: http://dx.doi.org/10.5194/ACP-17-11135-2017Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-02414578Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2017Full-Text: https://doi.org/10.5194/acp-17-11135-2017Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-02414578Data sources: Bielefeld Academic Search Engine (BASE)Atmospheric Chemistry and Physics (ACP)Article . 2017 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/acp-20...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Chemistry and Physics (ACP)Other literature type . 2017Data sources: DANS (Data Archiving and Networked Services)Atmospheric Chemistry and Physics (ACP)Review . 2017Spiral - Imperial College Digital RepositoryArticle . 2017Data sources: Spiral - Imperial College Digital RepositoryHAL-Ecole des Ponts ParisTechArticle . 2017License: CC BYData sources: HAL-Ecole des Ponts ParisTechPublikationer från Stockholms universitetArticle . 2017 . Peer-reviewedData sources: Publikationer från Stockholms universiteteScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2017 . Peer-reviewedMunin - Open Research ArchiveArticle . 2017 . Peer-reviewedData sources: Munin - Open Research ArchiveAtmospheric Chemistry and Physics (ACP)Article . 2017 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 90 citations 90 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2017 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/247941fpData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2017License: CC BYFull-Text: http://hdl.handle.net/10044/1/55004Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2017Full-Text: https://hal.science/hal-02414578Data sources: Bielefeld Academic Search Engine (BASE)DSpace@MIT (Massachusetts Institute of Technology)Article . 2018License: CC BYFull-Text: http://dx.doi.org/10.5194/ACP-17-11135-2017Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-02414578Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2017Full-Text: https://doi.org/10.5194/acp-17-11135-2017Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-02414578Data sources: Bielefeld Academic Search Engine (BASE)Atmospheric Chemistry and Physics (ACP)Article . 2017 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/acp-20...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Chemistry and Physics (ACP)Other literature type . 2017Data sources: DANS (Data Archiving and Networked Services)Atmospheric Chemistry and Physics (ACP)Review . 2017Spiral - Imperial College Digital RepositoryArticle . 2017Data sources: Spiral - Imperial College Digital RepositoryHAL-Ecole des Ponts ParisTechArticle . 2017License: CC BYData sources: HAL-Ecole des Ponts ParisTechPublikationer från Stockholms universitetArticle . 2017 . Peer-reviewedData sources: Publikationer från Stockholms universiteteScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2017 . Peer-reviewedMunin - Open Research ArchiveArticle . 2017 . Peer-reviewedData sources: Munin - Open Research ArchiveAtmospheric Chemistry and Physics (ACP)Article . 2017 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Other ORP type 2013 United Kingdom, Germany, Germany, United States, Norway, Belgium, United States, France, Netherlands, United States, Netherlands, Switzerland, Australia, United Kingdom, United KingdomPublisher:Copernicus GmbH Funded by:EC | COMBINE, EC | GEOCARBON, EC | CARBOCHANGE +4 projectsEC| COMBINE ,EC| GEOCARBON ,EC| CARBOCHANGE ,RCN| Support for the Scientific Steering Committee of the Global Carbon Project ,EC| EMBRACE ,NSF| Collaborative Research: Improved Regional and Decadal Predictions of the Carbon Cycle ,EC| LUC4CPieter P. Tans; C. Le Quéré; Sönke Zaehle; Atul K. Jain; Fabienne Maignan; Jörg Schwinger; Jörg Schwinger; Dorothee C. E. Bakker; Steve D Jones; Geun-Ha Park; Christian Rödenbeck; Laurent Bopp; Arne Körtzinger; Abdirahman M Omar; Bronte Tilbrook; Gregg Marland; T. Ono; Joachim Segschneider; Thomas A. Boden; Richard A. Houghton; Andy Wiltshire; Pierre Regnier; Louise Chini; Philippe Ciais; Joanna Isobel House; Taro Takahashi; Almut Arneth; Glen P. Peters; Josep G. Canadell; Etsushi Kato; Robert J. Andres; Kees Klein Goldewijk; Benjamin Poulter; Anna B. Harper; Rik Wanninkhof; Pierre Friedlingstein; Michael R. Raupach; Benjamin D. Stocker; Stephen Sitch; Ralph F. Keeling; Benjamin Pfeil; Benjamin Pfeil; Robbie M. Andrew; S. van Heuven; Charles D. Koven; R. Moriarty; S. Saito; Nathalie Lefèvre; Scott C. Doney; Ian Harris; A. Arvanitis; Nicolas Viovy;Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe datasets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil-fuel combustion and cement production (EFF) are based on energy statistics, while emissions from Land-Use Change (ELUC), including deforestation, are based on combined evidence from land-cover change data, fire activity in regions undergoing deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated for the first time in this budget with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of Dynamic Global Vegetation Models. All uncertainties are reported as ± 1 sigma, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2003–2012), EFF was 8.6 ± 0.4 GtC yr−1, ELUC 0.8 ± 0.5 GtC yr−1, GATM 4.3 ± 0.1 GtC yr−1, SOCEAN 2.6 ± 0.5 GtC yr−1, and SLAND 2.6 ± 0.8 GtC yr−1. For year 2012 alone, EFF grew to 9.7 ± 0.5 GtC yr−1, 2.2% above 2011, reflecting a continued trend in these emissions; GATM was 5.2 ± 0.2 GtC yr−1, SOCEAN was 2.9 ± 0.5 GtC yr−1, and assuming and ELUC of 0.9 ± 0.5 GtC yr−1 (based on 2001–2010 average), SLAND was 2.5 ± 0.9 GtC yr−1. GATM was high in 2012 compared to the 2003–2012 average, almost entirely reflecting the high EFF. The global atmospheric CO2 concentration reached 392.52 ± 0.10 ppm on average over 2012. We estimate that EFF will increase by 2.1% (1.1–3.1%) to 9.9 ± 0.5 GtC in 2013, 61% above emissions in 1990, based on projections of World Gross Domestic Product and recent changes in the carbon intensity of the economy. With this projection, cumulative emissions of CO2 will reach about 550 ± 60 GtC for 1870–2013, 70% from EFF (390 ± 20 GtC) and 30% from ELUC (160 ± 55 GtC). This paper is intended to provide a baseline to keep track of annual carbon budgets in the future. All data presented here can be downloaded from the Carbon Dioxide Information Analysis Center (10.3334/CDIAC/GCP_2013_v1.1).
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2014 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2014 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2015License: CC BYFull-Text: https://hdl.handle.net/1956/10495Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2015License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2014License: CC BYFull-Text: https://doi.org/10.3334/CDIAC/GCP_2013_V2.3Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Australian National University: ANU Digital CollectionsArticleFull-Text: http://hdl.handle.net/1885/74928Data sources: Bielefeld Academic Search Engine (BASE)Columbia University Academic CommonsArticle . 2014Full-Text: https://doi.org/10.7916/D8319V8NData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essdd-...Article . 2013 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefNorwegian Open Research ArchivesOther ORP type . 2014Data sources: Norwegian Open Research ArchivesBergen Open Research Archive - UiBArticle . 2014 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2014Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 384 citations 384 popularity Top 1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2014 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2014 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2015License: CC BYFull-Text: https://hdl.handle.net/1956/10495Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2015License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2014License: CC BYFull-Text: https://doi.org/10.3334/CDIAC/GCP_2013_V2.3Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Australian National University: ANU Digital CollectionsArticleFull-Text: http://hdl.handle.net/1885/74928Data sources: Bielefeld Academic Search Engine (BASE)Columbia University Academic CommonsArticle . 2014Full-Text: https://doi.org/10.7916/D8319V8NData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essdd-...Article . 2013 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefNorwegian Open Research ArchivesOther ORP type . 2014Data sources: Norwegian Open Research ArchivesBergen Open Research Archive - UiBArticle . 2014 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2014Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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