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Research data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Funded by:EC | MAT_STOCKSEC| MAT_STOCKSHaberl, Helmut; Wiedenhofer, Dominik; Schug, Franz; Frantz, David; Virag, Doris; Plutzar, Christoph; Gruhler, Karin; Lederer, Jakob; Schiller, Georg; Fishman, Tomer; Lanau, Maud; Gattringer, Andreas; Kemper, Thomas; Liu, Gang; Tanikawa, Hiroki; van der Linden, Sebastian; Hostert, Patrick;Dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Building up and maintaining stocks requires large amounts of resources; currently stock-building materials amount to almost 60% of all materials used by humanity. Buildings, infrastructures and machinery shape social practices of production and consumption, thereby creating path dependencies for future resource use. They constitute the physical basis of the spatial organization of most socio-economic activities, for example as mobility networks, urbanization and settlement patterns and various other infrastructures. This dataset features a detailed map of material stocks for the whole of Germany on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors. Temporal extent The map is representative for ca. 2018. Data format Per federal state, the data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. The dataset features area and mass for different street types area and mass for different rail types area and mass for other infrastructure area, volume and mass for different building types Masses are reported as total values, and per material category. Units area in m² height in m volume in m³ mass in t for infrastructure and buildings Further information For further information, please see the publication or contact Helmut Haberl (helmut.haberl@boku.ac.at). A web-visualization of this dataset is available here. Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society. Publication Haberl, H., Wiedenhofer, D., Schug, F., Frantz, D., Virág, D., Plutzar, C., Gruhler, K., Lederer, J., Schiller, G. , Fishman, T., Lanau, M., Gattringer, A., Kemper, T., Liu, G., Tanikawa, H., van der Linden, S., Hostert, P. (accepted): High-resolution maps of material stocks in buildings and infrastructures in Austria and Germany. Environmental Science & Technology Funding This research was primarly funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). ML and GL acknowledge funding by the Independent Research Fund Denmark (CityWeight, 6111-00555B), ML thanks the Engineering and Physical Sciences Research Council (EPSRC; project Multi-Scale, Circular Economic Potential of Non-Residential Building Scale, EP/S029273/1), JL acknowledges funding by the Vienna Science and Technology Fund (WWTF), project ESR17-067, TF acknowledges the Israel Science Foundation grant no. 2706/19.
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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 2012Publisher:Springer Science and Business Media LLC Funded by:EC | BONUS+EC| BONUS+H. E. Markus Meier; Thomas Neumann; Bärbel Müller-Karulis; Kari Eilola; Ivan Kuznetsov; Bo G. Gustafsson; Oleg P. Savchuk;In the future, the Baltic Sea ecosystem will be impacted both by climate change and by riverine and atmospheric nutrient inputs. Multi-model ensemble simulations comprising one IPCC scenario (A1B), two global climate models, two regional climate models, and three Baltic Sea ecosystem models were performed to elucidate the combined effect of climate change and changes in nutrient inputs. This study focuses on the occurrence of extreme events in the projected future climate. Results suggest that the number of days favoring cyanobacteria blooms could increase, anoxic events may become more frequent and last longer, and salinity may tend to decrease. Nutrient load reductions following the Baltic Sea Action Plan can reduce the deterioration of oxygen conditions.
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 bronze 91 citations 91 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert 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=10.1007/s13280-012-0321-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 Germany, France, Spain, United Kingdom, France, Spain, United States, Australia, AustraliaPublisher:Proceedings of the National Academy of Sciences Funded by:EC | BIGSEA, NSERC, EC | MERCES +1 projectsEC| BIGSEA ,NSERC ,EC| MERCES ,EC| CERESDavid A. Carozza; Steve Mackinson; Jeroen Steenbeek; Villy Christensen; Philippe Verley; Susa Niiranen; Andrea Bryndum-Buchholz; Matthias Büchner; Derek P. Tittensor; Derek P. Tittensor; Jan Volkholz; John P. Dunne; Elizabeth A. Fulton; Julia L. Blanchard; Ricardo Oliveros-Ramos; Jacob Schewe; Simon Jennings; Simon Jennings; Manuel Barange; Charles A. Stock; Boris Worm; Miranda C. Jones; Nicola D. Walker; Laurent Bopp; Olivier Maury; Olivier Maury; William W. L. Cheung; Tiago H. Silva; Daniele Bianchi; Heike K. Lotze; Tilla Roy; Catherine M. Bulman; Tyler D. Eddy; Tyler D. Eddy; Nicolas Barrier; Marta Coll; Eric D. Galbraith; Eric D. Galbraith; Jose A. Fernandes; Yunne-Jai Shin; Yunne-Jai Shin;While the physical dimensions of climate change are now routinely assessed through multimodel intercomparisons, projected impacts on the global ocean ecosystem generally rely on individual models with a specific set of assumptions. To address these single-model limitations, we present standardized ensemble projections from six global marine ecosystem models forced with two Earth system models and four emission scenarios with and without fishing. We derive average biomass trends and associated uncertainties across the marine food web. Without fishing, mean global animal biomass decreased by 5% (±4% SD) under low emissions and 17% (±11% SD) under high emissions by 2100, with an average 5% decline for every 1 °C of warming. Projected biomass declines were primarily driven by increasing temperature and decreasing primary production, and were more pronounced at higher trophic levels, a process known as trophic amplification. Fishing did not substantially alter the effects of climate change. Considerable regional variation featured strong biomass increases at high latitudes and decreases at middle to low latitudes, with good model agreement on the direction of change but variable magnitude. Uncertainties due to variations in marine ecosystem and Earth system models were similar. Ensemble projections performed well compared with empirical data, emphasizing the benefits of multimodel inference to project future outcomes. Our results indicate that global ocean animal biomass consistently declines with climate change, and that these impacts are amplified at higher trophic levels. Next steps for model development include dynamic scenarios of fishing, cumulative human impacts, and the effects of management measures on future ocean biomass trends.
CIRAD: HAL (Agricult... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2019License: CC BY NC NDFull-Text: https://hal.umontpellier.fr/hal-02272161Data sources: Bielefeld Academic Search Engine (BASE)Université de Bretagne Occidentale: HALArticle . 2019License: CC BY NC NDFull-Text: https://hal.umontpellier.fr/hal-02272161Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2019 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2019License: CC BY NC NDData sources: Diposit Digital de Documents de la UABProceedings of the National Academy of SciencesArticle . 2019 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2019Data 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=10.1073/pnas.1900194116&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 397 citations 397 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
visibility 30visibility views 30 download downloads 97 Powered bymore_vert CIRAD: HAL (Agricult... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2019License: CC BY NC NDFull-Text: https://hal.umontpellier.fr/hal-02272161Data sources: Bielefeld Academic Search Engine (BASE)Université de Bretagne Occidentale: HALArticle . 2019License: CC BY NC NDFull-Text: https://hal.umontpellier.fr/hal-02272161Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2019 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2019License: CC BY NC NDData sources: Diposit Digital de Documents de la UABProceedings of the National Academy of SciencesArticle . 2019 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2019Data 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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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=10.1073/pnas.1900194116&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2019Embargo end date: 16 Mar 2019 Japan, Germany, France, France, France, Japan, Spain, France, Switzerland, United Kingdom, NetherlandsPublisher:Springer Science and Business Media LLC Funded by:EC | HELIX, EC | IMPACT2CEC| HELIX ,EC| IMPACT2CJeroen Steenbeek; Erwin Schmid; Tyler D. Eddy; Tyler D. Eddy; Tyler D. Eddy; Derek P. Tittensor; Derek P. Tittensor; Rene Orth; Rene Orth; Yadu Pokhrel; Joshua Elliott; Yusuke Satoh; Yusuke Satoh; Christian Folberth; Louis François; Andrew D. Friend; Catherine Morfopoulos; Nikolay Khabarov; Peter Lawrence; Naota Hanasaki; Michelle T. H. van Vliet; Akihiko Ito; Sonia I. Seneviratne; Veronika Huber; Thomas A. M. Pugh; Jinfeng Chang; Tobias Stacke; Philippe Ciais; Lila Warszawski; Jan Volkholz; Matthias Büchner; Yoshihide Wada; Christopher P. O. Reyer; Xuhui Wang; Xuhui Wang; Xuhui Wang; Dieter Gerten; Dieter Gerten; Sebastian Ostberg; Qiuhong Tang; Gen Sakurai; David A. Carozza; David A. Carozza; Christoph Müller; Jacob Schewe; Lutz Breuer; Delphine Deryng; Heike K. Lotze; Hannes Müller Schmied; Robert Vautard; Hyungjun Kim; Fang Zhao; Allard de Wit; Jörg Steinkamp; Katja Frieler; Simon N. Gosling; Lukas Gudmundsson; Marta Coll; Hanqin Tian;doi: 10.1038/s41467-019-08745-6 , 10.17863/cam.37807 , 10.60692/8dj48-81382 , 10.3929/ethz-b-000330244 , 10.60692/8mcvk-e7225
pmid: 30824763
pmc: PMC6397256
handle: 10261/181642
doi: 10.1038/s41467-019-08745-6 , 10.17863/cam.37807 , 10.60692/8dj48-81382 , 10.3929/ethz-b-000330244 , 10.60692/8mcvk-e7225
pmid: 30824763
pmc: PMC6397256
handle: 10261/181642
AbstractGlobal impact models represent process-level understanding of how natural and human systems may be affected by climate change. Their projections are used in integrated assessments of climate change. Here we test, for the first time, systematically across many important systems, how well such impact models capture the impacts of extreme climate conditions. Using the 2003 European heat wave and drought as a historical analogue for comparable events in the future, we find that a majority of models underestimate the extremeness of impacts in important sectors such as agriculture, terrestrial ecosystems, and heat-related human mortality, while impacts on water resources and hydropower are overestimated in some river basins; and the spread across models is often large. This has important implications for economic assessments of climate change impacts that rely on these models. It also means that societal risks from future extreme events may be greater than previously thought.
Hyper Article en Lig... arrow_drop_down Université Jean Monnet – Saint-Etienne: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainPublication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData 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=10.1038/s41467-019-08745-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 186 citations 186 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université Jean Monnet – Saint-Etienne: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainPublication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData 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=10.1038/s41467-019-08745-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2018 France, Spain, France, United Kingdom, United Kingdom, Germany, Spain, United Kingdom, United KingdomPublisher:Copernicus GmbH Funded by:EC | BIGSEA, EC | BIOWEB, ARC | Discovery Projects - Gran... +2 projectsEC| BIGSEA ,EC| BIOWEB ,ARC| Discovery Projects - Grant ID: DP140101377 ,EC| CERES ,NSERCD. P. Tittensor; D. P. Tittensor; T. D. Eddy; T. D. Eddy; H. K. Lotze; E. D. Galbraith; E. D. Galbraith; W. Cheung; M. Barange; M. Barange; J. L. Blanchard; L. Bopp; A. Bryndum-Buchholz; M. Büchner; C. Bulman; D. A. Carozza; V. Christensen; M. Coll; M. Coll; M. Coll; J. P. Dunne; J. A. Fernandes; J. A. Fernandes; E. A. Fulton; E. A. Fulton; A. J. Hobday; A. J. Hobday; V. Huber; S. Jennings; S. Jennings; S. Jennings; M. Jones; P. Lehodey; J. S. Link; S. Mackinson; O. Maury; O. Maury; S. Niiranen; R. Oliveros-Ramos; T. Roy; T. Roy; J. Schewe; Y.-J. Shin; Y.-J. Shin; T. Silva; C. A. Stock; J. Steenbeek; P. J. Underwood; J. Volkholz; J. R. Watson; N. D. Walker;handle: 10261/165167
Abstract. Model intercomparison studies in the climate and Earth sciences communities have been crucial to building credibility and coherence for future projections. They have quantified variability among models, spurred model development, contrasted within- and among-model uncertainty, assessed model fits to historical data, and provided ensemble projections of future change under specified scenarios. Given the speed and magnitude of anthropogenic change in the marine environment and the consequent effects on food security, biodiversity, marine industries, and society, the time is ripe for similar comparisons among models of fisheries and marine ecosystems. Here, we describe the Fisheries and Marine Ecosystem Model Intercomparison Project protocol version 1.0 (Fish-MIP v1.0), part of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP), which is a cross-sectoral network of climate impact modellers. Given the complexity of the marine ecosystem, this class of models has substantial heterogeneity of purpose, scope, theoretical underpinning, processes considered, parameterizations, resolution (grain size), and spatial extent. This heterogeneity reflects the lack of a unified understanding of the marine ecosystem and implies that the assemblage of all models is more likely to include a greater number of relevant processes than any single model. The current Fish-MIP protocol is designed to allow these heterogeneous models to be forced with common Earth System Model (ESM) Coupled Model Intercomparison Project Phase 5 (CMIP5) outputs under prescribed scenarios for historic (from the 1950s) and future (to 2100) time periods; it will be adapted to CMIP phase 6 (CMIP6) in future iterations. It also describes a standardized set of outputs for each participating Fish-MIP model to produce. This enables the broad characterization of differences between and uncertainties within models and projections when assessing climate and fisheries impacts on marine ecosystems and the services they provide. The systematic generation, collation, and comparison of results from Fish-MIP will inform an understanding of the range of plausible changes in marine ecosystems and improve our capacity to define and convey the strengths and weaknesses of model-based advice on future states of marine ecosystems and fisheries. Ultimately, Fish-MIP represents a step towards bringing together the marine ecosystem modelling community to produce consistent ensemble medium- and long-term projections of marine ecosystems.
Plymouth Marine Scie... arrow_drop_down Plymouth Marine Science Electronic Archive (PlyMEA)Article . 2018License: CC BYData sources: CORE (RIOXX-UK Aggregator)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018Full-Text: https://hal.science/hal-01806877Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2018Full-Text: https://hal.science/hal-01806877Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Geoscientific Model Development (GMD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2018 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2018License: CC BYData sources: Diposit Digital de Documents de la UABGeoscientific Model Development (GMD)Article . 2018 . Peer-reviewedData 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/gmd-11-1421-2018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 119 citations 119 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Plymouth Marine Scie... arrow_drop_down Plymouth Marine Science Electronic Archive (PlyMEA)Article . 2018License: CC BYData sources: CORE (RIOXX-UK Aggregator)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018Full-Text: https://hal.science/hal-01806877Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2018Full-Text: https://hal.science/hal-01806877Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Geoscientific Model Development (GMD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2018 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2018License: CC BYData sources: Diposit Digital de Documents de la UABGeoscientific Model Development (GMD)Article . 2018 . Peer-reviewedData 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/gmd-11-1421-2018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2013 France, France, United Kingdom, France, United Kingdom, GermanyPublisher:Proceedings of the National Academy of Sciences Funded by:EC | GREENCYCLESIIEC| GREENCYCLESIIAndrew D. Friend; F. Ian Woodward; Tim T. Rademacher; Ron Kahana; Sibyll Schaphoff; Richard Betts; Akihiko Ito; Andy Wiltshire; Rutger Dankers; Axel Kleidon; Pete Falloon; Wolfgang Lucht; Wolfgang Lucht; Philippe Ciais; Lila Warszawski; Nicolas Vuichard; Philippe Peylin; Patricia Cadule; Mark R. Lomas; Rozenn Keribin; Douglas B. Clark; Sebastian Ostberg; Kazuya Nishina; Ryan Pavlick;Future climate change and increasing atmospheric CO 2 are expected to cause major changes in vegetation structure and function over large fractions of the global land surface. Seven global vegetation models are used to analyze possible responses to future climate simulated by a range of general circulation models run under all four representative concentration pathway scenarios of changing concentrations of greenhouse gases. All 110 simulations predict an increase in global vegetation carbon to 2100, but with substantial variation between vegetation models. For example, at 4 °C of global land surface warming (510–758 ppm of CO 2 ), vegetation carbon increases by 52–477 Pg C (224 Pg C mean), mainly due to CO 2 fertilization of photosynthesis. Simulations agree on large regional increases across much of the boreal forest, western Amazonia, central Africa, western China, and southeast Asia, with reductions across southwestern North America, central South America, southern Mediterranean areas, southwestern Africa, and southwestern Australia. Four vegetation models display discontinuities across 4 °C of warming, indicating global thresholds in the balance of positive and negative influences on productivity and biomass. In contrast to previous global vegetation model studies, we emphasize the importance of uncertainties in projected changes in carbon residence times. We find, when all seven models are considered for one representative concentration pathway × general circulation model combination, such uncertainties explain 30% more variation in modeled vegetation carbon change than responses of net primary productivity alone, increasing to 151% for non-HYBRID4 models. A change in research priorities away from production and toward structural dynamics and demographic processes is recommended.
Proceedings of the N... arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2014Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2013 . Peer-reviewedData sources: CrossrefÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2014Data 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=10.1073/pnas.1222477110&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 455 citations 455 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
visibility 3visibility views 3 download downloads 63 Powered bymore_vert Proceedings of the N... arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2014Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2013 . Peer-reviewedData sources: CrossrefÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2014Data 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=10.1073/pnas.1222477110&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 United Kingdom, GermanyPublisher:IOP Publishing Funded by:EC | BACIEC| BACISippel, S.; Forkel, M.; Rammig, A.; Thonicke, K.; Flach, M.; Heimann, M.; Otto, F.; Reichstein, M.; Mahecha, M.;Climate extremes have the potential to cause extreme responses of terrestrial ecosystem functioning. However, it is neither straightforward to quantify and predict extreme ecosystem responses, nor to attribute these responses to specific climate drivers. Here, we construct a factorial experiment based on a large ensemble of process-oriented ecosystem model simulations driven by a regional climate model (12 500 model years in 1985–2010) in six European regions. Our aims are to (1) attribute changes in the intensity and frequency of simulated ecosystem productivity extremes (EPEs) to recent changes in climate extremes, CO _2 concentration, and land use, and to (2) assess the effect of timing and seasonal interaction on the intensity of EPEs. Evaluating the ensemble simulations reveals that (1) recent trends in EPEs are seasonally contrasting: spring EPEs show consistent trends towards increased carbon uptake, while trends in summer EPEs are predominantly negative in net ecosystem productivity (i.e. higher net carbon release under drought and heat in summer) and close-to-neutral in gross productivity. While changes in climate and its extremes (mainly warming) and changes in CO _2 increase spring productivity, changes in climate extremes decrease summer productivity neutralizing positive effects of CO _2 . Furthermore, we find that (2) drought or heat wave induced carbon losses in summer (i.e. negative EPEs) can be partly compensated by a higher uptake in the preceding spring in temperate regions. Conversely, however, carry-over effects from spring to summer that arise from depleted soil moisture exacerbate the carbon losses caused by climate extremes in summer, and are thus undoing spring compensatory effects. While the spring-compensation effect is increasing over time, the carry-over effect shows no trend between 1985–2010. The ensemble ecosystem model simulations provide a process-based interpretation and generalization for spring-summer interacting carbon cycle effects caused by climate extremes (i.e. compensatory and carry-over effects). In summary, the ensemble ecosystem modelling approach presented in this paper offers a novel route to scrutinize ecosystem responses to changing climate extremes in a probabilistic framework, and to pinpoint the underlying eco-physiological mechanisms.
Publication Database... arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersArticle . 2017 . Peer-reviewedData 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=10.1088/1748-9326/aa7398&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 36 citations 36 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 1visibility views 1 download downloads 2 Powered bymore_vert Publication Database... arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersArticle . 2017 . Peer-reviewedData 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=10.1088/1748-9326/aa7398&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016 United States, United Kingdom, GermanyPublisher:Wiley Funded by:EC | LUC4CEC| LUC4CCarlo Lavalle; Shinichiro Fujimori; Robert Dunford; Tamás Krisztin; Atul K. Jain; Tom Powell; Andrzej Tabeau; Katherine Calvin; Mark Rounsevell; Ronald D. Sands; Paula A. Harrison; Sascha Holzhauer; Prasanth Meiyappan; Peter H. Verburg; Tomoko Hasegawa; Adam Butler; Timothy M. Lenton; Alexander Popp; Peter Alexander; Peter Alexander; Filipe Batista e Silva; Calum Brown; Florian Humpenöder; Jiayi Liu; Nicolas Dendoncker; Almut Arneth; Petr Havlik; Marshall Wise; David A. Eitelberg; Kerstin Engström; Jevgenijs Steinbuks; Reinhard Prestele; Page Kyle; Claudia Baranzelli; Rüdiger Schaldach; Elke Stehfest; Hans van Meijl; Chris Jacobs-Crisioni; Jonathan C. Doelman;AbstractUnderstanding uncertainties in land cover projections is critical to investigating land‐based climate mitigation policies, assessing the potential of climate adaptation strategies and quantifying the impacts of land cover change on the climate system. Here, we identify and quantify uncertainties in global and European land cover projections over a diverse range of model types and scenarios, extending the analysis beyond the agro‐economic models included in previous comparisons. The results from 75 simulations over 18 models are analysed and show a large range in land cover area projections, with the highest variability occurring in future cropland areas. We demonstrate systematic differences in land cover areas associated with the characteristics of the modelling approach, which is at least as great as the differences attributed to the scenario variations. The results lead us to conclude that a higher degree of uncertainty exists in land use projections than currently included in climate or earth system projections. To account for land use uncertainty, it is recommended to use a diverse set of models and approaches when assessing the potential impacts of land cover change on future climate. Additionally, further work is needed to better understand the assumptions driving land use model results and reveal the causes of uncertainty in more depth, to help reduce model uncertainty and improve the projections of land cover.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2016Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefNatural Environment Research Council: NERC Open Research ArchiveArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017Data 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=10.1111/gcb.13447&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 114 citations 114 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 6visibility views 6 download downloads 298 Powered bymore_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2016Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefNatural Environment Research Council: NERC Open Research ArchiveArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017Data 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=10.1111/gcb.13447&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Preprint , Report 2019 France, Spain, United Kingdom, France, United Kingdom, United Kingdom, Finland, FrancePublisher:American Association for the Advancement of Science (AAAS) Publicly fundedFunded by:NSF | Predicting Regional Invas..., EC | BIOBIO, EC | ECOWORM +13 projectsNSF| Predicting Regional Invasion Dynamic Processes (PRIDE)-Developing a Cross-scale, Functional-trait Based Modeling Framework ,EC| BIOBIO ,EC| ECOWORM ,EC| SPECIALS ,NSERC ,FWF| The macrofauna decomposer food web on alpine pastureland ,EC| TERRESTREVOL ,EC| AGFORWARD ,NWO| EV Diagnostics for monitoring therapy byliquid tuneable Coulter flowcytometry (project 3.2) ,FWF| Litter decomposition and humus formation in highalpine soils ,DFG| German Centre for Integrative Biodiversity Research - iDiv ,EC| Gradual_Change ,FCT| LA 1 ,NSF| IGERT: Ecology, Management and Restoration of Integrated Human/Natural Landscapes ,EC| FUNDIVEUROPE ,AKA| Macrodetritivore range shifts and implications for aboveground-belowground interactionsDevin Routh; Aidan M. Keith; Geoff H. Baker; Boris Schröder; Fredrick O. Ayuke; Iñigo Virto; Thomas W. Crowther; Anahí Domínguez; Yvan Capowiez; Irina V. Zenkova; Konstantin B. Gongalsky; Martin Holmstrup; Sandy M. Smith; Mark E. Caulfield; Christian Mulder; Robin Beauséjour; Shishir Paudel; Matthias C. Rillig; Michael Steinwandter; Michiel Rutgers; Takuo Hishi; Loes van Schaik; Jérôme Mathieu; Guillaume Xavier Rousseau; José Antonio Talavera; Miguel Á. Rodríguez; Nico Eisenhauer; Carlos Fragoso; H. Lalthanzara; Thibaud Decaëns; Luis M. Hernández; Adrian A. Wackett; David J. Russell; Weixin Zhang; David A. Wardle; Scott R. Loss; Steven J. Fonte; Liliana B. Falco; Olaf Schmidt; Radim Matula; Shaieste Gholami; Darío J. Díaz Cosín; Anna Rożen; Robert L. Bradley; Wim H. van der Putten; Michael J. Gundale; Andrea Dávalos; Andrea Dávalos; Rosa Fernández; Johan van den Hoogen; Franciska T. de Vries; Victoria Nuzzo; Mujeeb Rahman P; André L.C. Franco; Jan Hendrik Moos; Joann K. Whalen; Martine Fugère; Mac A. Callaham; Miwa Arai; Elizabeth M. Bach; Yiqing Li; Raphaël Marichal; Jonatan Klaminder; Monika Joschko; George G. Brown; Michael B. Wironen; Dolores Trigo; Nathaniel H. Wehr; Maria Kernecker; Kristine N. Hopfensperger; Amy Choi; Esperanza Huerta Lwanga; Sanna T. Kukkonen; Basil V. Iannone; Veikko Huhta; Birgitta König-Ries; Guénola Pérès; Salvador Rebollo; Olga Ferlian; Nick van Eekeren; Anne W. de Valença; Eric Blanchart; Matthew W. Warren; Johan Pansu; Christoph Emmerling; Courtland Kelly; Javier Rodeiro-Iglesias; Armand W. Koné; Muhammad Rashid; Muhammad Rashid; Alexander M. Roth; Davorka K. Hackenberger; Michael Schirrmann; Alberto Orgiazzi; Bryant C. Scharenbroch; Ulrich Brose; Helen Phillips; Diana H. Wall; Noa Kekuewa Lincoln; Andrew R. Holdsworth; Raúl Piñeiro; Tunsisa T. Hurisso; Tunsisa T. Hurisso; Mónica Gutiérrez López; Klaus Birkhofer; Yahya Kooch; Michel Loreau; Julia Seeber; Jaswinder Singh; Volkmar Wolters; Radoslava Kanianska; Jiro Tsukamoto; Visa Nuutinen; Gerardo Moreno; Marie Luise Carolina Bartz; Juan B. Jesús Lidón; Daniel R. Lammel; Daniel R. Lammel; Madhav P. Thakur; Felicity Crotty; Julia Krebs; Iurii M. Lebedev; Steven J. Vanek; Marta Novo; Carlos A. Guerra; José Camilo Bedano; Bernd Blossey; Lorenzo Pérez-Camacho; Joanne M. Bennett; Nobuhiro Kaneko; Madalina Iordache; Andrés Esteban Duhour; Maria J. I. Briones; Abegail T Fusilero; Maxim Shashkov; Maxim Shashkov; Ehsan Sayad; Thomas Bolger; Alejandro Morón-Ríos; Lindsey Norgrove; Benjamin Schwarz; Bart Muys; Johan Neirynck; Jean-François Ponge; Erin K. Cameron; Kelly S. Ramirez;pmid: 31649197
pmc: PMC7335308
Earthworm distribution in global soils Earthworms are key components of soil ecological communities, performing vital functions in decomposition and nutrient cycling through ecosystems. Using data from more than 7000 sites, Phillips et al. developed global maps of the distribution of earthworm diversity, abundance, and biomass (see the Perspective by Fierer). The patterns differ from those typically found in aboveground taxa; there are peaks of diversity and abundance in the mid-latitude regions and peaks of biomass in the tropics. Climate variables strongly influence these patterns, and changes are likely to have cascading effects on other soil organisms and wider ecosystem functions. Science , this issue p. 480 ; see also p. 425
Hyper Article en Lig... arrow_drop_down Hyper Article en LignePreprint . 2019License: CC BYFull-Text: https://hal.inrae.fr/hal-02788558/documentData sources: Hyper Article en LigneMémoires en Sciences de l'Information et de la CommunicationPreprint . 2019License: CC BYFull-Text: https://hal.inrae.fr/hal-02788558/documentCIRAD: HAL (Agricultural Research for Development)Article . 2019License: PDMFull-Text: https://hal.science/hal-02337185Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUReport . 2019Full-Text: https://hal.inrae.fr/hal-02788558Data sources: Bielefeld Academic Search Engine (BASE)Royal Agricultural University Repository (RAU Cirencester - CREST)Article . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019License: PDMFull-Text: https://hal.science/hal-02337185Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTANatural Environment Research Council: NERC Open Research ArchiveArticle . 2019Data 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=10.1126/science.aax4851&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 286 citations 286 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
visibility 53visibility views 53 download downloads 424 Powered bymore_vert Hyper Article en Lig... arrow_drop_down Hyper Article en LignePreprint . 2019License: CC BYFull-Text: https://hal.inrae.fr/hal-02788558/documentData sources: Hyper Article en LigneMémoires en Sciences de l'Information et de la CommunicationPreprint . 2019License: CC BYFull-Text: https://hal.inrae.fr/hal-02788558/documentCIRAD: HAL (Agricultural Research for Development)Article . 2019License: PDMFull-Text: https://hal.science/hal-02337185Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUReport . 2019Full-Text: https://hal.inrae.fr/hal-02788558Data sources: Bielefeld Academic Search Engine (BASE)Royal Agricultural University Repository (RAU Cirencester - CREST)Article . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019License: PDMFull-Text: https://hal.science/hal-02337185Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTANatural Environment Research Council: NERC Open Research ArchiveArticle . 2019Data 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=10.1126/science.aax4851&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 Australia, Denmark, Netherlands, GermanyPublisher:Proceedings of the National Academy of Sciences Funded by:NSF | Collaborative Research: E..., EC | ERANSF| Collaborative Research: EaSM2--Quantifying and Conveying the Risk of Prolonged Drought in Coming Decades ,EC| ERAIngo Fetzer; Ricarda Winkelmann; Jonathan F. Donges; Jonathan F. Donges; Anthony D. Barnosky; Timothy M. Lenton; Steven J. Lade; Steven J. Lade; Marten Scheffer; Will Steffen; Hans Joachim Schellnhuber; Hans Joachim Schellnhuber; Hans Joachim Schellnhuber; Michel Crucifix; Katherine Richardson; Diana Liverman; Colin Summerhayes; Sarah Cornell; Carl Folke; Carl Folke; Johan Rockström;We explore the risk that self-reinforcing feedbacks could push the Earth System toward a planetary threshold that, if crossed, could prevent stabilization of the climate at intermediate temperature rises and cause continued warming on a “Hothouse Earth” pathway even as human emissions are reduced. Crossing the threshold would lead to a much higher global average temperature than any interglacial in the past 1.2 million years and to sea levels significantly higher than at any time in the Holocene. We examine the evidence that such a threshold might exist and where it might be. If the threshold is crossed, the resulting trajectory would likely cause serious disruptions to ecosystems, society, and economies. Collective human action is required to steer the Earth System away from a potential threshold and stabilize it in a habitable interglacial-like state. Such action entails stewardship of the entire Earth System—biosphere, climate, and societies—and could include decarbonization of the global economy, enhancement of biosphere carbon sinks, behavioral changes, technological innovations, new governance arrangements, and transformed social values.
Australian National ... arrow_drop_down Australian National University: ANU Digital CollectionsArticleLicense: CC BY NC NDFull-Text: http://hdl.handle.net/1885/154650Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2018 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefProceedings of the National Academy of SciencesArticle . 2018Data sources: DANS (Data Archiving and Networked Services)Wageningen Staff PublicationsArticle . 2018License: CC BY NC NDData sources: Wageningen Staff PublicationsUniversity of Copenhagen: ResearchArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2018 . Peer-reviewedData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 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=10.1073/pnas.1810141115&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 2K citations 1,931 popularity Top 0.01% influence Top 0.1% impulse Top 0.01% Powered by BIP!
more_vert Australian National ... arrow_drop_down Australian National University: ANU Digital CollectionsArticleLicense: CC BY NC NDFull-Text: http://hdl.handle.net/1885/154650Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2018 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefProceedings of the National Academy of SciencesArticle . 2018Data sources: DANS (Data Archiving and Networked Services)Wageningen Staff PublicationsArticle . 2018License: CC BY NC NDData sources: Wageningen Staff PublicationsUniversity of Copenhagen: ResearchArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2018 . Peer-reviewedData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 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=10.1073/pnas.1810141115&type=result"></script>'); --> </script>
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Research data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Funded by:EC | MAT_STOCKSEC| MAT_STOCKSHaberl, Helmut; Wiedenhofer, Dominik; Schug, Franz; Frantz, David; Virag, Doris; Plutzar, Christoph; Gruhler, Karin; Lederer, Jakob; Schiller, Georg; Fishman, Tomer; Lanau, Maud; Gattringer, Andreas; Kemper, Thomas; Liu, Gang; Tanikawa, Hiroki; van der Linden, Sebastian; Hostert, Patrick;Dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Building up and maintaining stocks requires large amounts of resources; currently stock-building materials amount to almost 60% of all materials used by humanity. Buildings, infrastructures and machinery shape social practices of production and consumption, thereby creating path dependencies for future resource use. They constitute the physical basis of the spatial organization of most socio-economic activities, for example as mobility networks, urbanization and settlement patterns and various other infrastructures. This dataset features a detailed map of material stocks for the whole of Germany on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors. Temporal extent The map is representative for ca. 2018. Data format Per federal state, the data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. The dataset features area and mass for different street types area and mass for different rail types area and mass for other infrastructure area, volume and mass for different building types Masses are reported as total values, and per material category. Units area in m² height in m volume in m³ mass in t for infrastructure and buildings Further information For further information, please see the publication or contact Helmut Haberl (helmut.haberl@boku.ac.at). A web-visualization of this dataset is available here. Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society. Publication Haberl, H., Wiedenhofer, D., Schug, F., Frantz, D., Virág, D., Plutzar, C., Gruhler, K., Lederer, J., Schiller, G. , Fishman, T., Lanau, M., Gattringer, A., Kemper, T., Liu, G., Tanikawa, H., van der Linden, S., Hostert, P. (accepted): High-resolution maps of material stocks in buildings and infrastructures in Austria and Germany. Environmental Science & Technology Funding This research was primarly funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). ML and GL acknowledge funding by the Independent Research Fund Denmark (CityWeight, 6111-00555B), ML thanks the Engineering and Physical Sciences Research Council (EPSRC; project Multi-Scale, Circular Economic Potential of Non-Residential Building Scale, EP/S029273/1), JL acknowledges funding by the Vienna Science and Technology Fund (WWTF), project ESR17-067, TF acknowledges the Israel Science Foundation grant no. 2706/19.
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=10.5281/zenodo.4536989&type=result"></script>'); --> </script>
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visibility 586visibility views 586 download downloads 70 Powered bymore_vert 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=10.5281/zenodo.4536989&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2012Publisher:Springer Science and Business Media LLC Funded by:EC | BONUS+EC| BONUS+H. E. Markus Meier; Thomas Neumann; Bärbel Müller-Karulis; Kari Eilola; Ivan Kuznetsov; Bo G. Gustafsson; Oleg P. Savchuk;In the future, the Baltic Sea ecosystem will be impacted both by climate change and by riverine and atmospheric nutrient inputs. Multi-model ensemble simulations comprising one IPCC scenario (A1B), two global climate models, two regional climate models, and three Baltic Sea ecosystem models were performed to elucidate the combined effect of climate change and changes in nutrient inputs. This study focuses on the occurrence of extreme events in the projected future climate. Results suggest that the number of days favoring cyanobacteria blooms could increase, anoxic events may become more frequent and last longer, and salinity may tend to decrease. Nutrient load reductions following the Baltic Sea Action Plan can reduce the deterioration of oxygen conditions.
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=10.1007/s13280-012-0321-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 91 citations 91 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert 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=10.1007/s13280-012-0321-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 Germany, France, Spain, United Kingdom, France, Spain, United States, Australia, AustraliaPublisher:Proceedings of the National Academy of Sciences Funded by:EC | BIGSEA, NSERC, EC | MERCES +1 projectsEC| BIGSEA ,NSERC ,EC| MERCES ,EC| CERESDavid A. Carozza; Steve Mackinson; Jeroen Steenbeek; Villy Christensen; Philippe Verley; Susa Niiranen; Andrea Bryndum-Buchholz; Matthias Büchner; Derek P. Tittensor; Derek P. Tittensor; Jan Volkholz; John P. Dunne; Elizabeth A. Fulton; Julia L. Blanchard; Ricardo Oliveros-Ramos; Jacob Schewe; Simon Jennings; Simon Jennings; Manuel Barange; Charles A. Stock; Boris Worm; Miranda C. Jones; Nicola D. Walker; Laurent Bopp; Olivier Maury; Olivier Maury; William W. L. Cheung; Tiago H. Silva; Daniele Bianchi; Heike K. Lotze; Tilla Roy; Catherine M. Bulman; Tyler D. Eddy; Tyler D. Eddy; Nicolas Barrier; Marta Coll; Eric D. Galbraith; Eric D. Galbraith; Jose A. Fernandes; Yunne-Jai Shin; Yunne-Jai Shin;While the physical dimensions of climate change are now routinely assessed through multimodel intercomparisons, projected impacts on the global ocean ecosystem generally rely on individual models with a specific set of assumptions. To address these single-model limitations, we present standardized ensemble projections from six global marine ecosystem models forced with two Earth system models and four emission scenarios with and without fishing. We derive average biomass trends and associated uncertainties across the marine food web. Without fishing, mean global animal biomass decreased by 5% (±4% SD) under low emissions and 17% (±11% SD) under high emissions by 2100, with an average 5% decline for every 1 °C of warming. Projected biomass declines were primarily driven by increasing temperature and decreasing primary production, and were more pronounced at higher trophic levels, a process known as trophic amplification. Fishing did not substantially alter the effects of climate change. Considerable regional variation featured strong biomass increases at high latitudes and decreases at middle to low latitudes, with good model agreement on the direction of change but variable magnitude. Uncertainties due to variations in marine ecosystem and Earth system models were similar. Ensemble projections performed well compared with empirical data, emphasizing the benefits of multimodel inference to project future outcomes. Our results indicate that global ocean animal biomass consistently declines with climate change, and that these impacts are amplified at higher trophic levels. Next steps for model development include dynamic scenarios of fishing, cumulative human impacts, and the effects of management measures on future ocean biomass trends.
CIRAD: HAL (Agricult... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2019License: CC BY NC NDFull-Text: https://hal.umontpellier.fr/hal-02272161Data sources: Bielefeld Academic Search Engine (BASE)Université de Bretagne Occidentale: HALArticle . 2019License: CC BY NC NDFull-Text: https://hal.umontpellier.fr/hal-02272161Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2019 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2019License: CC BY NC NDData sources: Diposit Digital de Documents de la UABProceedings of the National Academy of SciencesArticle . 2019 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2019Data 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=10.1073/pnas.1900194116&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 397 citations 397 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
visibility 30visibility views 30 download downloads 97 Powered bymore_vert CIRAD: HAL (Agricult... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2019License: CC BY NC NDFull-Text: https://hal.umontpellier.fr/hal-02272161Data sources: Bielefeld Academic Search Engine (BASE)Université de Bretagne Occidentale: HALArticle . 2019License: CC BY NC NDFull-Text: https://hal.umontpellier.fr/hal-02272161Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2019 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2019License: CC BY NC NDData sources: Diposit Digital de Documents de la UABProceedings of the National Academy of SciencesArticle . 2019 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2019Data 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=10.1073/pnas.1900194116&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2019Embargo end date: 16 Mar 2019 Japan, Germany, France, France, France, Japan, Spain, France, Switzerland, United Kingdom, NetherlandsPublisher:Springer Science and Business Media LLC Funded by:EC | HELIX, EC | IMPACT2CEC| HELIX ,EC| IMPACT2CJeroen Steenbeek; Erwin Schmid; Tyler D. Eddy; Tyler D. Eddy; Tyler D. Eddy; Derek P. Tittensor; Derek P. Tittensor; Rene Orth; Rene Orth; Yadu Pokhrel; Joshua Elliott; Yusuke Satoh; Yusuke Satoh; Christian Folberth; Louis François; Andrew D. Friend; Catherine Morfopoulos; Nikolay Khabarov; Peter Lawrence; Naota Hanasaki; Michelle T. H. van Vliet; Akihiko Ito; Sonia I. Seneviratne; Veronika Huber; Thomas A. M. Pugh; Jinfeng Chang; Tobias Stacke; Philippe Ciais; Lila Warszawski; Jan Volkholz; Matthias Büchner; Yoshihide Wada; Christopher P. O. Reyer; Xuhui Wang; Xuhui Wang; Xuhui Wang; Dieter Gerten; Dieter Gerten; Sebastian Ostberg; Qiuhong Tang; Gen Sakurai; David A. Carozza; David A. Carozza; Christoph Müller; Jacob Schewe; Lutz Breuer; Delphine Deryng; Heike K. Lotze; Hannes Müller Schmied; Robert Vautard; Hyungjun Kim; Fang Zhao; Allard de Wit; Jörg Steinkamp; Katja Frieler; Simon N. Gosling; Lukas Gudmundsson; Marta Coll; Hanqin Tian;doi: 10.1038/s41467-019-08745-6 , 10.17863/cam.37807 , 10.60692/8dj48-81382 , 10.3929/ethz-b-000330244 , 10.60692/8mcvk-e7225
pmid: 30824763
pmc: PMC6397256
handle: 10261/181642
doi: 10.1038/s41467-019-08745-6 , 10.17863/cam.37807 , 10.60692/8dj48-81382 , 10.3929/ethz-b-000330244 , 10.60692/8mcvk-e7225
pmid: 30824763
pmc: PMC6397256
handle: 10261/181642
AbstractGlobal impact models represent process-level understanding of how natural and human systems may be affected by climate change. Their projections are used in integrated assessments of climate change. Here we test, for the first time, systematically across many important systems, how well such impact models capture the impacts of extreme climate conditions. Using the 2003 European heat wave and drought as a historical analogue for comparable events in the future, we find that a majority of models underestimate the extremeness of impacts in important sectors such as agriculture, terrestrial ecosystems, and heat-related human mortality, while impacts on water resources and hydropower are overestimated in some river basins; and the spread across models is often large. This has important implications for economic assessments of climate change impacts that rely on these models. It also means that societal risks from future extreme events may be greater than previously thought.
Hyper Article en Lig... arrow_drop_down Université Jean Monnet – Saint-Etienne: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainPublication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData 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=10.1038/s41467-019-08745-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 186 citations 186 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université Jean Monnet – Saint-Etienne: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainPublication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData 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=10.1038/s41467-019-08745-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2018 France, Spain, France, United Kingdom, United Kingdom, Germany, Spain, United Kingdom, United KingdomPublisher:Copernicus GmbH Funded by:EC | BIGSEA, EC | BIOWEB, ARC | Discovery Projects - Gran... +2 projectsEC| BIGSEA ,EC| BIOWEB ,ARC| Discovery Projects - Grant ID: DP140101377 ,EC| CERES ,NSERCD. P. Tittensor; D. P. Tittensor; T. D. Eddy; T. D. Eddy; H. K. Lotze; E. D. Galbraith; E. D. Galbraith; W. Cheung; M. Barange; M. Barange; J. L. Blanchard; L. Bopp; A. Bryndum-Buchholz; M. Büchner; C. Bulman; D. A. Carozza; V. Christensen; M. Coll; M. Coll; M. Coll; J. P. Dunne; J. A. Fernandes; J. A. Fernandes; E. A. Fulton; E. A. Fulton; A. J. Hobday; A. J. Hobday; V. Huber; S. Jennings; S. Jennings; S. Jennings; M. Jones; P. Lehodey; J. S. Link; S. Mackinson; O. Maury; O. Maury; S. Niiranen; R. Oliveros-Ramos; T. Roy; T. Roy; J. Schewe; Y.-J. Shin; Y.-J. Shin; T. Silva; C. A. Stock; J. Steenbeek; P. J. Underwood; J. Volkholz; J. R. Watson; N. D. Walker;handle: 10261/165167
Abstract. Model intercomparison studies in the climate and Earth sciences communities have been crucial to building credibility and coherence for future projections. They have quantified variability among models, spurred model development, contrasted within- and among-model uncertainty, assessed model fits to historical data, and provided ensemble projections of future change under specified scenarios. Given the speed and magnitude of anthropogenic change in the marine environment and the consequent effects on food security, biodiversity, marine industries, and society, the time is ripe for similar comparisons among models of fisheries and marine ecosystems. Here, we describe the Fisheries and Marine Ecosystem Model Intercomparison Project protocol version 1.0 (Fish-MIP v1.0), part of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP), which is a cross-sectoral network of climate impact modellers. Given the complexity of the marine ecosystem, this class of models has substantial heterogeneity of purpose, scope, theoretical underpinning, processes considered, parameterizations, resolution (grain size), and spatial extent. This heterogeneity reflects the lack of a unified understanding of the marine ecosystem and implies that the assemblage of all models is more likely to include a greater number of relevant processes than any single model. The current Fish-MIP protocol is designed to allow these heterogeneous models to be forced with common Earth System Model (ESM) Coupled Model Intercomparison Project Phase 5 (CMIP5) outputs under prescribed scenarios for historic (from the 1950s) and future (to 2100) time periods; it will be adapted to CMIP phase 6 (CMIP6) in future iterations. It also describes a standardized set of outputs for each participating Fish-MIP model to produce. This enables the broad characterization of differences between and uncertainties within models and projections when assessing climate and fisheries impacts on marine ecosystems and the services they provide. The systematic generation, collation, and comparison of results from Fish-MIP will inform an understanding of the range of plausible changes in marine ecosystems and improve our capacity to define and convey the strengths and weaknesses of model-based advice on future states of marine ecosystems and fisheries. Ultimately, Fish-MIP represents a step towards bringing together the marine ecosystem modelling community to produce consistent ensemble medium- and long-term projections of marine ecosystems.
Plymouth Marine Scie... arrow_drop_down Plymouth Marine Science Electronic Archive (PlyMEA)Article . 2018License: CC BYData sources: CORE (RIOXX-UK Aggregator)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018Full-Text: https://hal.science/hal-01806877Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2018Full-Text: https://hal.science/hal-01806877Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Geoscientific Model Development (GMD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2018 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2018License: CC BYData sources: Diposit Digital de Documents de la UABGeoscientific Model Development (GMD)Article . 2018 . Peer-reviewedData 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/gmd-11-1421-2018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 119 citations 119 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Plymouth Marine Scie... arrow_drop_down Plymouth Marine Science Electronic Archive (PlyMEA)Article . 2018License: CC BYData sources: CORE (RIOXX-UK Aggregator)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018Full-Text: https://hal.science/hal-01806877Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2018Full-Text: https://hal.science/hal-01806877Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Geoscientific Model Development (GMD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2018 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2018License: CC BYData sources: Diposit Digital de Documents de la UABGeoscientific Model Development (GMD)Article . 2018 . Peer-reviewedData 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/gmd-11-1421-2018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2013 France, France, United Kingdom, France, United Kingdom, GermanyPublisher:Proceedings of the National Academy of Sciences Funded by:EC | GREENCYCLESIIEC| GREENCYCLESIIAndrew D. Friend; F. Ian Woodward; Tim T. Rademacher; Ron Kahana; Sibyll Schaphoff; Richard Betts; Akihiko Ito; Andy Wiltshire; Rutger Dankers; Axel Kleidon; Pete Falloon; Wolfgang Lucht; Wolfgang Lucht; Philippe Ciais; Lila Warszawski; Nicolas Vuichard; Philippe Peylin; Patricia Cadule; Mark R. Lomas; Rozenn Keribin; Douglas B. Clark; Sebastian Ostberg; Kazuya Nishina; Ryan Pavlick;Future climate change and increasing atmospheric CO 2 are expected to cause major changes in vegetation structure and function over large fractions of the global land surface. Seven global vegetation models are used to analyze possible responses to future climate simulated by a range of general circulation models run under all four representative concentration pathway scenarios of changing concentrations of greenhouse gases. All 110 simulations predict an increase in global vegetation carbon to 2100, but with substantial variation between vegetation models. For example, at 4 °C of global land surface warming (510–758 ppm of CO 2 ), vegetation carbon increases by 52–477 Pg C (224 Pg C mean), mainly due to CO 2 fertilization of photosynthesis. Simulations agree on large regional increases across much of the boreal forest, western Amazonia, central Africa, western China, and southeast Asia, with reductions across southwestern North America, central South America, southern Mediterranean areas, southwestern Africa, and southwestern Australia. Four vegetation models display discontinuities across 4 °C of warming, indicating global thresholds in the balance of positive and negative influences on productivity and biomass. In contrast to previous global vegetation model studies, we emphasize the importance of uncertainties in projected changes in carbon residence times. We find, when all seven models are considered for one representative concentration pathway × general circulation model combination, such uncertainties explain 30% more variation in modeled vegetation carbon change than responses of net primary productivity alone, increasing to 151% for non-HYBRID4 models. A change in research priorities away from production and toward structural dynamics and demographic processes is recommended.
Proceedings of the N... arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2014Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2013 . Peer-reviewedData sources: CrossrefÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2014Data 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=10.1073/pnas.1222477110&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 455 citations 455 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
visibility 3visibility views 3 download downloads 63 Powered bymore_vert Proceedings of the N... arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2014Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2013 . Peer-reviewedData sources: CrossrefÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2014Data 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=10.1073/pnas.1222477110&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 United Kingdom, GermanyPublisher:IOP Publishing Funded by:EC | BACIEC| BACISippel, S.; Forkel, M.; Rammig, A.; Thonicke, K.; Flach, M.; Heimann, M.; Otto, F.; Reichstein, M.; Mahecha, M.;Climate extremes have the potential to cause extreme responses of terrestrial ecosystem functioning. However, it is neither straightforward to quantify and predict extreme ecosystem responses, nor to attribute these responses to specific climate drivers. Here, we construct a factorial experiment based on a large ensemble of process-oriented ecosystem model simulations driven by a regional climate model (12 500 model years in 1985–2010) in six European regions. Our aims are to (1) attribute changes in the intensity and frequency of simulated ecosystem productivity extremes (EPEs) to recent changes in climate extremes, CO _2 concentration, and land use, and to (2) assess the effect of timing and seasonal interaction on the intensity of EPEs. Evaluating the ensemble simulations reveals that (1) recent trends in EPEs are seasonally contrasting: spring EPEs show consistent trends towards increased carbon uptake, while trends in summer EPEs are predominantly negative in net ecosystem productivity (i.e. higher net carbon release under drought and heat in summer) and close-to-neutral in gross productivity. While changes in climate and its extremes (mainly warming) and changes in CO _2 increase spring productivity, changes in climate extremes decrease summer productivity neutralizing positive effects of CO _2 . Furthermore, we find that (2) drought or heat wave induced carbon losses in summer (i.e. negative EPEs) can be partly compensated by a higher uptake in the preceding spring in temperate regions. Conversely, however, carry-over effects from spring to summer that arise from depleted soil moisture exacerbate the carbon losses caused by climate extremes in summer, and are thus undoing spring compensatory effects. While the spring-compensation effect is increasing over time, the carry-over effect shows no trend between 1985–2010. The ensemble ecosystem model simulations provide a process-based interpretation and generalization for spring-summer interacting carbon cycle effects caused by climate extremes (i.e. compensatory and carry-over effects). In summary, the ensemble ecosystem modelling approach presented in this paper offers a novel route to scrutinize ecosystem responses to changing climate extremes in a probabilistic framework, and to pinpoint the underlying eco-physiological mechanisms.
Publication Database... arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersArticle . 2017 . Peer-reviewedData 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=10.1088/1748-9326/aa7398&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 36 citations 36 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 1visibility views 1 download downloads 2 Powered bymore_vert Publication Database... arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersArticle . 2017 . Peer-reviewedData 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=10.1088/1748-9326/aa7398&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016 United States, United Kingdom, GermanyPublisher:Wiley Funded by:EC | LUC4CEC| LUC4CCarlo Lavalle; Shinichiro Fujimori; Robert Dunford; Tamás Krisztin; Atul K. Jain; Tom Powell; Andrzej Tabeau; Katherine Calvin; Mark Rounsevell; Ronald D. Sands; Paula A. Harrison; Sascha Holzhauer; Prasanth Meiyappan; Peter H. Verburg; Tomoko Hasegawa; Adam Butler; Timothy M. Lenton; Alexander Popp; Peter Alexander; Peter Alexander; Filipe Batista e Silva; Calum Brown; Florian Humpenöder; Jiayi Liu; Nicolas Dendoncker; Almut Arneth; Petr Havlik; Marshall Wise; David A. Eitelberg; Kerstin Engström; Jevgenijs Steinbuks; Reinhard Prestele; Page Kyle; Claudia Baranzelli; Rüdiger Schaldach; Elke Stehfest; Hans van Meijl; Chris Jacobs-Crisioni; Jonathan C. Doelman;AbstractUnderstanding uncertainties in land cover projections is critical to investigating land‐based climate mitigation policies, assessing the potential of climate adaptation strategies and quantifying the impacts of land cover change on the climate system. Here, we identify and quantify uncertainties in global and European land cover projections over a diverse range of model types and scenarios, extending the analysis beyond the agro‐economic models included in previous comparisons. The results from 75 simulations over 18 models are analysed and show a large range in land cover area projections, with the highest variability occurring in future cropland areas. We demonstrate systematic differences in land cover areas associated with the characteristics of the modelling approach, which is at least as great as the differences attributed to the scenario variations. The results lead us to conclude that a higher degree of uncertainty exists in land use projections than currently included in climate or earth system projections. To account for land use uncertainty, it is recommended to use a diverse set of models and approaches when assessing the potential impacts of land cover change on future climate. Additionally, further work is needed to better understand the assumptions driving land use model results and reveal the causes of uncertainty in more depth, to help reduce model uncertainty and improve the projections of land cover.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2016Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefNatural Environment Research Council: NERC Open Research ArchiveArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017Data 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=10.1111/gcb.13447&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 114 citations 114 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 6visibility views 6 download downloads 298 Powered bymore_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2016Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefNatural Environment Research Council: NERC Open Research ArchiveArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017Data 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=10.1111/gcb.13447&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Preprint , Report 2019 France, Spain, United Kingdom, France, United Kingdom, United Kingdom, Finland, FrancePublisher:American Association for the Advancement of Science (AAAS) Publicly fundedFunded by:NSF | Predicting Regional Invas..., EC | BIOBIO, EC | ECOWORM +13 projectsNSF| Predicting Regional Invasion Dynamic Processes (PRIDE)-Developing a Cross-scale, Functional-trait Based Modeling Framework ,EC| BIOBIO ,EC| ECOWORM ,EC| SPECIALS ,NSERC ,FWF| The macrofauna decomposer food web on alpine pastureland ,EC| TERRESTREVOL ,EC| AGFORWARD ,NWO| EV Diagnostics for monitoring therapy byliquid tuneable Coulter flowcytometry (project 3.2) ,FWF| Litter decomposition and humus formation in highalpine soils ,DFG| German Centre for Integrative Biodiversity Research - iDiv ,EC| Gradual_Change ,FCT| LA 1 ,NSF| IGERT: Ecology, Management and Restoration of Integrated Human/Natural Landscapes ,EC| FUNDIVEUROPE ,AKA| Macrodetritivore range shifts and implications for aboveground-belowground interactionsDevin Routh; Aidan M. Keith; Geoff H. Baker; Boris Schröder; Fredrick O. Ayuke; Iñigo Virto; Thomas W. Crowther; Anahí Domínguez; Yvan Capowiez; Irina V. Zenkova; Konstantin B. Gongalsky; Martin Holmstrup; Sandy M. Smith; Mark E. Caulfield; Christian Mulder; Robin Beauséjour; Shishir Paudel; Matthias C. Rillig; Michael Steinwandter; Michiel Rutgers; Takuo Hishi; Loes van Schaik; Jérôme Mathieu; Guillaume Xavier Rousseau; José Antonio Talavera; Miguel Á. Rodríguez; Nico Eisenhauer; Carlos Fragoso; H. Lalthanzara; Thibaud Decaëns; Luis M. Hernández; Adrian A. Wackett; David J. Russell; Weixin Zhang; David A. Wardle; Scott R. Loss; Steven J. Fonte; Liliana B. Falco; Olaf Schmidt; Radim Matula; Shaieste Gholami; Darío J. Díaz Cosín; Anna Rożen; Robert L. Bradley; Wim H. van der Putten; Michael J. Gundale; Andrea Dávalos; Andrea Dávalos; Rosa Fernández; Johan van den Hoogen; Franciska T. de Vries; Victoria Nuzzo; Mujeeb Rahman P; André L.C. Franco; Jan Hendrik Moos; Joann K. Whalen; Martine Fugère; Mac A. Callaham; Miwa Arai; Elizabeth M. Bach; Yiqing Li; Raphaël Marichal; Jonatan Klaminder; Monika Joschko; George G. Brown; Michael B. Wironen; Dolores Trigo; Nathaniel H. Wehr; Maria Kernecker; Kristine N. Hopfensperger; Amy Choi; Esperanza Huerta Lwanga; Sanna T. Kukkonen; Basil V. Iannone; Veikko Huhta; Birgitta König-Ries; Guénola Pérès; Salvador Rebollo; Olga Ferlian; Nick van Eekeren; Anne W. de Valença; Eric Blanchart; Matthew W. Warren; Johan Pansu; Christoph Emmerling; Courtland Kelly; Javier Rodeiro-Iglesias; Armand W. Koné; Muhammad Rashid; Muhammad Rashid; Alexander M. Roth; Davorka K. Hackenberger; Michael Schirrmann; Alberto Orgiazzi; Bryant C. Scharenbroch; Ulrich Brose; Helen Phillips; Diana H. Wall; Noa Kekuewa Lincoln; Andrew R. Holdsworth; Raúl Piñeiro; Tunsisa T. Hurisso; Tunsisa T. Hurisso; Mónica Gutiérrez López; Klaus Birkhofer; Yahya Kooch; Michel Loreau; Julia Seeber; Jaswinder Singh; Volkmar Wolters; Radoslava Kanianska; Jiro Tsukamoto; Visa Nuutinen; Gerardo Moreno; Marie Luise Carolina Bartz; Juan B. Jesús Lidón; Daniel R. Lammel; Daniel R. Lammel; Madhav P. Thakur; Felicity Crotty; Julia Krebs; Iurii M. Lebedev; Steven J. Vanek; Marta Novo; Carlos A. Guerra; José Camilo Bedano; Bernd Blossey; Lorenzo Pérez-Camacho; Joanne M. Bennett; Nobuhiro Kaneko; Madalina Iordache; Andrés Esteban Duhour; Maria J. I. Briones; Abegail T Fusilero; Maxim Shashkov; Maxim Shashkov; Ehsan Sayad; Thomas Bolger; Alejandro Morón-Ríos; Lindsey Norgrove; Benjamin Schwarz; Bart Muys; Johan Neirynck; Jean-François Ponge; Erin K. Cameron; Kelly S. Ramirez;pmid: 31649197
pmc: PMC7335308
Earthworm distribution in global soils Earthworms are key components of soil ecological communities, performing vital functions in decomposition and nutrient cycling through ecosystems. Using data from more than 7000 sites, Phillips et al. developed global maps of the distribution of earthworm diversity, abundance, and biomass (see the Perspective by Fierer). The patterns differ from those typically found in aboveground taxa; there are peaks of diversity and abundance in the mid-latitude regions and peaks of biomass in the tropics. Climate variables strongly influence these patterns, and changes are likely to have cascading effects on other soil organisms and wider ecosystem functions. Science , this issue p. 480 ; see also p. 425
Hyper Article en Lig... arrow_drop_down Hyper Article en LignePreprint . 2019License: CC BYFull-Text: https://hal.inrae.fr/hal-02788558/documentData sources: Hyper Article en LigneMémoires en Sciences de l'Information et de la CommunicationPreprint . 2019License: CC BYFull-Text: https://hal.inrae.fr/hal-02788558/documentCIRAD: HAL (Agricultural Research for Development)Article . 2019License: PDMFull-Text: https://hal.science/hal-02337185Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUReport . 2019Full-Text: https://hal.inrae.fr/hal-02788558Data sources: Bielefeld Academic Search Engine (BASE)Royal Agricultural University Repository (RAU Cirencester - CREST)Article . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019License: PDMFull-Text: https://hal.science/hal-02337185Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTANatural Environment Research Council: NERC Open Research ArchiveArticle . 2019Data 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=10.1126/science.aax4851&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 286 citations 286 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
visibility 53visibility views 53 download downloads 424 Powered bymore_vert Hyper Article en Lig... arrow_drop_down Hyper Article en LignePreprint . 2019License: CC BYFull-Text: https://hal.inrae.fr/hal-02788558/documentData sources: Hyper Article en LigneMémoires en Sciences de l'Information et de la CommunicationPreprint . 2019License: CC BYFull-Text: https://hal.inrae.fr/hal-02788558/documentCIRAD: HAL (Agricultural Research for Development)Article . 2019License: PDMFull-Text: https://hal.science/hal-02337185Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUReport . 2019Full-Text: https://hal.inrae.fr/hal-02788558Data sources: Bielefeld Academic Search Engine (BASE)Royal Agricultural University Repository (RAU Cirencester - CREST)Article . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019License: PDMFull-Text: https://hal.science/hal-02337185Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTANatural Environment Research Council: NERC Open Research ArchiveArticle . 2019Data 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=10.1126/science.aax4851&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 Australia, Denmark, Netherlands, GermanyPublisher:Proceedings of the National Academy of Sciences Funded by:NSF | Collaborative Research: E..., EC | ERANSF| Collaborative Research: EaSM2--Quantifying and Conveying the Risk of Prolonged Drought in Coming Decades ,EC| ERAIngo Fetzer; Ricarda Winkelmann; Jonathan F. Donges; Jonathan F. Donges; Anthony D. Barnosky; Timothy M. Lenton; Steven J. Lade; Steven J. Lade; Marten Scheffer; Will Steffen; Hans Joachim Schellnhuber; Hans Joachim Schellnhuber; Hans Joachim Schellnhuber; Michel Crucifix; Katherine Richardson; Diana Liverman; Colin Summerhayes; Sarah Cornell; Carl Folke; Carl Folke; Johan Rockström;We explore the risk that self-reinforcing feedbacks could push the Earth System toward a planetary threshold that, if crossed, could prevent stabilization of the climate at intermediate temperature rises and cause continued warming on a “Hothouse Earth” pathway even as human emissions are reduced. Crossing the threshold would lead to a much higher global average temperature than any interglacial in the past 1.2 million years and to sea levels significantly higher than at any time in the Holocene. We examine the evidence that such a threshold might exist and where it might be. If the threshold is crossed, the resulting trajectory would likely cause serious disruptions to ecosystems, society, and economies. Collective human action is required to steer the Earth System away from a potential threshold and stabilize it in a habitable interglacial-like state. Such action entails stewardship of the entire Earth System—biosphere, climate, and societies—and could include decarbonization of the global economy, enhancement of biosphere carbon sinks, behavioral changes, technological innovations, new governance arrangements, and transformed social values.
Australian National ... arrow_drop_down Australian National University: ANU Digital CollectionsArticleLicense: CC BY NC NDFull-Text: http://hdl.handle.net/1885/154650Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2018 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefProceedings of the National Academy of SciencesArticle . 2018Data sources: DANS (Data Archiving and Networked Services)Wageningen Staff PublicationsArticle . 2018License: CC BY NC NDData sources: Wageningen Staff PublicationsUniversity of Copenhagen: ResearchArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2018 . Peer-reviewedData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 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=10.1073/pnas.1810141115&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 2K citations 1,931 popularity Top 0.01% influence Top 0.1% impulse Top 0.01% Powered by BIP!
more_vert Australian National ... arrow_drop_down Australian National University: ANU Digital CollectionsArticleLicense: CC BY NC NDFull-Text: http://hdl.handle.net/1885/154650Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2018 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefProceedings of the National Academy of SciencesArticle . 2018Data sources: DANS (Data Archiving and Networked Services)Wageningen Staff PublicationsArticle . 2018License: CC BY NC NDData sources: Wageningen Staff PublicationsUniversity of Copenhagen: ResearchArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2018 . Peer-reviewedData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 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=10.1073/pnas.1810141115&type=result"></script>'); --> </script>
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