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description Publicationkeyboard_double_arrow_right Article , Other literature type 2017Publisher:Springer Science and Business Media LLC Authors: Ingo Karschin; Alex G. Berg; Jutta Geldermann;Cogeneration of heat and electricity is an important pillar of energy and climate policy. To plan the production and distribution system of combined heat and power (CHP) systems for residential heating, suitable methods for decision support are needed. For a comprehensive feasibility analysis, the integration of the location and capacity planning of the power plants, the choice of customers, and the network planning of the heating network into one optimization model are necessary. Thus, we develop an optimization model for electricity generation and heat supply. This mixed integer linear program (MILP) is based on graph theory for network flow problems. We apply the network location model for the optimization of district heating systems in the City of Osorno in Chile, which exhibits the “checkerboard layout” typically found in many South American cities. The network location model can support the strategic planning of investments in renewable energy projects because it permits the analysis of changing energy prices, calculation of break-even prices for heat and electricity, and estimation of greenhouse gas emission savings.
Zeitschrift für Ener... arrow_drop_down Zeitschrift für EnergiewirtschaftArticle . 2017 . Peer-reviewedLicense: Springer TDMData sources: CrossrefUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2018Data sources: Universitätsbibliographie, Universität Duisburg-Essenadd 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/s12398-017-0216-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Zeitschrift für Ener... arrow_drop_down Zeitschrift für EnergiewirtschaftArticle . 2017 . Peer-reviewedLicense: Springer TDMData sources: CrossrefUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2018Data sources: Universitätsbibliographie, Universität Duisburg-Essenadd 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/s12398-017-0216-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2013 United StatesPublisher:Public Library of Science (PLoS) Funded by:NSF | Collaborative Research: C...NSF| Collaborative Research: Continental-Scale Monitoring, Modeling and Forecasting of Phenological Responses to Climate ChangeAuthors: Archetti, Marco; Richardson, Andrew; O'Keefe, John F.; Delpierre, Nicolas;Climate change affects the phenology of many species. As temperature and precipitation are thought to control autumn color change in temperate deciduous trees, it is possible that climate change might also affect the phenology of autumn colors. Using long-term data for eight tree species in a New England hardwood forest, we show that the timing and cumulative amount of autumn color are correlated with variation in temperature and precipitation at specific times of the year. A phenological model driven by accumulated cold degree-days and photoperiod reproduces most of the interspecific and interannual variability in the timing of autumn colors. We use this process-oriented model to predict changes in the phenology of autumn colors to 2099, showing that, while responses vary among species, climate change under standard IPCC projections will lead to an overall increase in the amount of autumn colors for most species.
PLoS ONE arrow_drop_down Digital Access to Scholarship at HarvardArticle . 2013Data sources: Digital Access to Scholarship at HarvardHarvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0057373&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 10% Powered by BIP!
more_vert PLoS ONE arrow_drop_down Digital Access to Scholarship at HarvardArticle . 2013Data sources: Digital Access to Scholarship at HarvardHarvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0057373&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Research , Preprint 2005Publisher:Elsevier BV Authors: Christoph Weber; Philip Vogel;doi: 10.2139/ssrn.1653408
Small decentralized power generation units (DG) are politically promoted because of their potential to reduce GHG-emissions and the existing dependency on fossil fuels. A long term goal of this promotion should be the creation of a level playing field for DG and conventional power generation. Due to the impact of DG on the electricity grid infrastructure, future regulation should consider the costs and benefits of the integration of decentralized energy generation units. Without an adequate consideration, the overall costs of the electricity generation system will be unnecessarily high. The present paper analyses, based on detailed modelling of decentralized demand and supply as well as of the overall system, the marginal costs or savings resulting from decentralized production. Thereby particular focus is laid on taking adequately into account the stochasticity both of energy demand and energy supply. An efficient grid pricing system should then remunerate long-term grid cost savings to operators of decentralized energy production or/and charge long-term additional grid costs to these operators. With detailed models of decentralized demand and supply as well as the overall system, the marginal costs or savings resulting from decentralized production are determined and their dependency on characteristics of the grid and of the decentralized supply are discussed.
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=10.2139/ssrn.1653408&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 1 citations 1 popularity Average influence Average impulse Average 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=10.2139/ssrn.1653408&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Journal 2017 United KingdomPublisher:American Geophysical Union (AGU) Funded by:UKRI | Integrated assessment of ...UKRI| Integrated assessment of the emission-health-socioeconomics nexus and air pollution mitigation solutions and interventions in Beijing (INHANCE)Dabo Guan; Zhuguo Ma; Zhifu Mi; Zhifu Mi; Heran Zheng; Jing Meng; Yuli Shan; Heike Schroeder; Jibo Ma; Chongmao Li; Chongmao Li;doi: 10.1002/2017ef000571
AbstractBecause of its low level of energy consumption and the small scale of its industrial development, the Tibet Autonomous Region has historically been excluded from China's reported energy statistics, including those regarding CO2 emissions. In this paper, we estimate Tibet's energy consumption using limited online documents, and we calculate the 2014 energy‐related and process‐related CO2 emissions of Tibet and its seven prefecture‐level administrative divisions for the first time. Our results show that 5.52 million tons of CO2 were emitted in Tibet in 2014; 33% of these emissions are associated with cement production. Tibet's emissions per capita amounted to 1.74 tons in 2014, which is substantially lower than the national average, although Tibet's emission intensity is relatively high at 0.60 tons per thousand yuan in 2014. Among Tibet's seven prefecture‐level administrative divisions, Lhasa City and Shannan Region are the two largest CO2 contributors and have the highest per capita emissions and emission intensities. The Nagqu and Nyingchi regions emit little CO2 due to their farming/pasturing‐dominated economies. This quantitative measure of Tibet's regional CO2 emissions provides solid data support for Tibet's actions on climate change and emission reductions.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2017 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of East Anglia: UEA Digital RepositoryArticle . 2017License: 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=10.1002/2017ef000571&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 52 citations 52 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2017 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of East Anglia: UEA Digital RepositoryArticle . 2017License: 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=10.1002/2017ef000571&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 Italy, GermanyPublisher:Springer Science and Business Media LLC Authors: Castellani F; Esposito A; Geldermann J; Altieri R;handle: 20.500.14243/354044
Purpose In Italy, composting olive mill waste has become a common practice, since it mitigates the environmental problems associated with spreading the waste on land. Compost can be used to prepare growth media for plant nursery cultivation as a substitute for peat, a non-renewable resource whose extraction has long raised environmental concerns. Here, we investigate two common composting procedures--open windrow and static-pile in gas-permeable bags--and compare them to evaluate their environmental impact. Methods We perform a cradle-to-grave life cycle assessment (LCA) in accordance with ISO 14040 and 14044. The LCA considers carbon storage in the soil after 100 years, fugitive greenhouse gas (GHG) emissions, and the impacts avoided by substituting for peat. We use cumulative energy demand, global warming potential (GWP), acidification potential, and eutrophication potential indicators in a contribution analysis and explore how the re-use of olive pits for energy production and reduction of commercial fertilizers improves the environmental balance. We also present a scenario analysis that indicates how parameter fluctuations affect the results. Results and discussion Our study shows that peat's impacts can be significantly reduced from 1162.3 to 96.3 kg CO2-eq/Mg for open windrow compost or 43.1 kg CO2-eq/Mg for static-pile compost in gas-permeable bags. For static-pile composting, the lack of volatile organic compound and ammonia emissions and the detection of oxygen concentrations above 12% vol. suggest fully aerobic conditions. Fugitive greenhouse gas emissions were the most important contributions to the GWP. In the contribution analysis for static-pile composting, the avoidance of compost spreading and the carbon storage effect (due to compost usage) contributed 54% of the overall impacts to GWP and between 21 and 45% to the other indicators. Conclusions This LCA study illustrates how horticulturists can improve their resource management practices by recycling olive mill waste materials. Proper management of composting unit aeration can reduce fugitive GHG emissions.
Publikationenserver ... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2019The International Journal of Life Cycle AssessmentArticle . 2018 . Peer-reviewedLicense: Springer TDMData sources: CrossrefUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2019Data sources: Universitätsbibliographie, Universität Duisburg-Essenadd 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/s11367-018-1514-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 6 citations 6 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Publikationenserver ... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2019The International Journal of Life Cycle AssessmentArticle . 2018 . Peer-reviewedLicense: Springer TDMData sources: CrossrefUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2019Data sources: Universitätsbibliographie, Universität Duisburg-Essenadd 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/s11367-018-1514-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2012 France, Australia, Netherlands, Australia, Argentina, Argentina, ItalyPublisher:Springer Science and Business Media LLC Funded by:EC | TRANZFOREC| TRANZFORAnna L. Jacobsen; Mark Westoby; Jarmila Pittermann; Amy E. Zanne; Amy E. Zanne; Frederic Lens; Hafiz Maherali; R. Brandon Pratt; Patrick J. Mitchell; Radika Bhaskar; Ian J. Wright; Sean M. Gleason; Andrea Nardini; John S. Sperry; Uwe G. Hacke; Taylor S. Feild; Maurizio Mencuccini; Sylvain Delzon; Steven Jansen; Brendan Choat; Sandra Janet Bucci; Stefan Mayr; Timothy J. Brodribb; Jordi Martínez-Vilalta; Hervé Cochard; Hervé Cochard;Shifts in rainfall patterns and increasing temperatures associated with climate change are likely to cause widespread forest decline in regions where droughts are predicted to increase in duration and severity. One primary cause of productivity loss and plant mortality during drought is hydraulic failure. Drought stress creates trapped gas emboli in the water transport system, which reduces the ability of plants to supply water to leaves for photosynthetic gas exchange and can ultimately result in desiccation and mortality. At present we lack a clear picture of how thresholds to hydraulic failure vary across a broad range of species and environments, despite many individual experiments. Here we draw together published and unpublished data on the vulnerability of the transport system to drought-induced embolism for a large number of woody species, with a view to examining the likely consequences of climate change for forest biomes. We show that 70% of 226 forest species from 81 sites worldwide operate with narrow (<1 megapascal) hydraulic safety margins against injurious levels of drought stress and therefore potentially face long-term reductions in productivity and survival if temperature and aridity increase as predicted for many regions across the globe. Safety margins are largely independent of mean annual precipitation, showing that there is global convergence in the vulnerability of forests to drought, with all forest biomes equally vulnerable to hydraulic failure regardless of their current rainfall environment. These findings provide insight into why drought-induced forest decline is occurring not only in arid regions but also in wet forests not normally considered at drought risk.
Nature arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2012Data sources: INRIA a CCSD electronic archive serverhttp://dx.doi.org/10.1038/natu...Other literature typeData sources: European Union Open Data PortalJames Cook University, Australia: ResearchOnline@JCUArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Naturalis Institutional RepositoryArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2012Data 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/nature11688&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 2K citations 2,078 popularity Top 0.01% influence Top 0.1% impulse Top 0.01% Powered by BIP!
more_vert Nature arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2012Data sources: INRIA a CCSD electronic archive serverhttp://dx.doi.org/10.1038/natu...Other literature typeData sources: European Union Open Data PortalJames Cook University, Australia: ResearchOnline@JCUArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Naturalis Institutional RepositoryArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2012Data 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/nature11688&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Research , Preprint 2013 Italy, United Kingdom, United KingdomPublisher:University of Chicago Press Funded by:EC | LUCESEC| LUCESAuthors: Fezzi, Carlo; Bateman, Ian;handle: 11572/141325 , 10871/19374
Ricardian (hedonic) analyses of the impact of climate change on farmland values typically assume additively separable effects of temperature and precipitation. Model estimation is implemented on data aggregated across counties or large regions. We investigate the potential bias induced by such approaches by using a large panel of farm-level data. Consistent with the literature on plant physiology, we observe significant non-linear interaction effects, with more abundant precipitation acting as a mitigating factor for increased heat stress. This interaction disappears when the same data is aggregated in the conventional manner, leading to predictions of climate change impacts which are significantly distorted.
Research Papers in E... arrow_drop_down University of East Anglia digital repositoryArticle . 2015 . Peer-reviewedData sources: University of East Anglia digital repositoryJournal of the Association of Environmental and Resource EconomistsArticle . 2015 . Peer-reviewedData sources: CrossrefUniversity of East Anglia: UEA Digital RepositoryArticle . 2015Data 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=10.1086/680257&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu80 citations 80 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Research Papers in E... arrow_drop_down University of East Anglia digital repositoryArticle . 2015 . Peer-reviewedData sources: University of East Anglia digital repositoryJournal of the Association of Environmental and Resource EconomistsArticle . 2015 . Peer-reviewedData sources: CrossrefUniversity of East Anglia: UEA Digital RepositoryArticle . 2015Data 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=10.1086/680257&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 United Kingdom, NetherlandsPublisher:Springer Science and Business Media LLC Authors: Gabriela de Azevedo Couto; Irene Lorenzoni; Myanna Lahsen; Myanna Lahsen;AbstractAnalyzing the politics and policy implications in Brazil of attributing extreme weather events to climate change, we argue for greater place-based sensitivity in recommendations for how to frame extreme weather events relative to climate change. Identifying geographical limits of current recommendations to emphasize the climate role in such events, we explore Brazilian framings of the two tragic national disasters, as apparent in newspaper coverage of climate change. We find that a variety of contextual factors compel environmental leaders and scientists in Brazil to avoid and discourage highlighting the role of climate change in national extreme events. Against analysts’ general deficit-finding assumptions, we argue that the Brazilian framing tendency reflects sound strategic, socio-environmental reasoning, and discuss circumstances in which attributing such events to climate change—and, by extension, attribution science—can be ineffective for policy action on climate change and other socio-environmental issues in need of public pressure and preventive action. The case study has implications beyond Brazil by begging greater attention to policies and politics in particular places before assuming that attribution science and discursive emphasis on the climate role in extreme events are the most strategic means of achieving climate mitigation and disaster preparedness. Factors at play in Brazil might also structure extreme events attribution politics in other countries, not least some other countries of the global South.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2020 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of East Anglia: UEA Digital RepositoryArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff Publicationsadd 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/s10584-019-02642-z&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 33 citations 33 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2020 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of East Anglia: UEA Digital RepositoryArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff Publicationsadd 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/s10584-019-02642-z&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 Italy, NetherlandsPublisher:Elsevier BV Authors: Marc van den Homberg; Aklilu Teklesadik; Dennis L.J. van den Berg; Gabriela Guimarães Nobre; +3 AuthorsMarc van den Homberg; Aklilu Teklesadik; Dennis L.J. van den Berg; Gabriela Guimarães Nobre; Gabriela Guimarães Nobre; Joris J.L. Westerveld; Sjoerd Stuit;Food insecurity is a growing concern due to man-made conflicts, climate change, and economic downturns. Forecasting the state of food insecurity is essential to be able to trigger early actions, for example, by humanitarian actors. To measure the actual state of food insecurity, expert and consensus-based approaches and surveys are currently used. Both require substantial manpower, time, and budget. This paper introduces an extreme gradient-boosting machine learning model to forecast monthly transitions in the state of food security in Ethiopia, at a spatial granularity of livelihood zones, and for lead times of one to 12 months, using open-source data. The transition in the state of food security, hereafter referred to as predictand, is represented by the Integrated Food Security Phase Classification Data. From 19 categories of datasets, 130 variables were derived and used as predictors of the transition in the state of food security. The predictors represent changes in climate and land, market, conflict, infrastructure, demographics and livelihood zone characteristics. The most relevant predictors are found to be food security history and surface soil moisture. Overall, the model performs best for forecasting Deteriorations and Improvements in the state of food security compared to the baselines. The proposed method performs (F1 macro score) at least twice as well as the best baseline (a dummy classifier) for a Deterioration. The model performs better when forecasting long-term (7 months; F1 macro average = 0.61) compared to short-term (3 months; F1 macro average = 0.51). Combining machine learning, Integrated Phase Classification (IPC) ratings from monitoring systems, and open data can add value to existing consensus-based forecasting approaches as this combination provides longer lead times and more regular updates. Our approach can also be transferred to other countries as most of the data on the predictors are openly available from global data repositories.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefThe Science of The Total EnvironmentArticle . 2021License: CC BY NC NDData sources: Pure Utrecht UniversityThe Science of The Total EnvironmentArticle . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2021.147366&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 37 citations 37 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefThe Science of The Total EnvironmentArticle . 2021License: CC BY NC NDData sources: Pure Utrecht UniversityThe Science of The Total EnvironmentArticle . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2021.147366&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 NetherlandsPublisher:IOP Publishing Funded by:EC | COUPLEDEC| COUPLEDPeter H. Verburg; Peter H. Verburg; Henry King; Floris Casper Leijten; Floris Casper Leijten; Sarah Sim;The production of palm oil, soy, beef and timber are key drivers of global forest loss. For this reason, over 470 companies involved in the production, processing or distribution of these commodities have issued commitments to eliminate or reduce deforestation from their supply chains. However, the effectiveness of these commitments is uncertain since there is considerable variation in ambition and scope and there are no globally agreed definitions of what constitutes a forest. Many commitments identify high conservation value forests (HCVFs), high carbon stock forests (HCSFs) and forests on tropical peatland as priority areas for conservation. This allows for mapping of the global extent of forest areas classified as such, to achieve an assessment of the area that may be at reduced risk of development if companies comply with their zero deforestation commitments. Depending on the criteria used, the results indicate that between 34% and 74% of global forests qualify as either HCVF, HCSF or forests on tropical peatland. However, we found that the total extent of these forest areas varies widely depending on the choice of forest map. Within forests which were not designated as HCVF, HCSF or forests on tropical peatland, there is substantial overlap with areas that are highly suitable for agricultural development. Since these areas are unlikely to be protected by zero-deforestation commitments, they may be subject to increased pressure resulting from leakage of areas designated as HCVF, HCSF and tropical peatland forests. Considerable uncertainties around future outcomes remain, since only a proportion of the global market is currently covered by corporate commitments. Further work is needed to map the synergies between corporate commitments and government policies on land use. In addition, standardized criteria for delineating forests covered by the commitments are recommended.
Environmental Resear... arrow_drop_down http://www.scopus.com/inward/r...Article . 2020Data sources: DANS (Data Archiving and Networked Services)Environmental Research LettersArticle . 2020Data sources: DANS (Data Archiving and Networked Services)Environmental Research LettersArticle . 2020Environmental Research LettersArticle . 2020 . 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/ab8158&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 5visibility views 5 download downloads 9 Powered bymore_vert Environmental Resear... arrow_drop_down http://www.scopus.com/inward/r...Article . 2020Data sources: DANS (Data Archiving and Networked Services)Environmental Research LettersArticle . 2020Data sources: DANS (Data Archiving and Networked Services)Environmental Research LettersArticle . 2020Environmental Research LettersArticle . 2020 . 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/ab8158&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Other literature type 2017Publisher:Springer Science and Business Media LLC Authors: Ingo Karschin; Alex G. Berg; Jutta Geldermann;Cogeneration of heat and electricity is an important pillar of energy and climate policy. To plan the production and distribution system of combined heat and power (CHP) systems for residential heating, suitable methods for decision support are needed. For a comprehensive feasibility analysis, the integration of the location and capacity planning of the power plants, the choice of customers, and the network planning of the heating network into one optimization model are necessary. Thus, we develop an optimization model for electricity generation and heat supply. This mixed integer linear program (MILP) is based on graph theory for network flow problems. We apply the network location model for the optimization of district heating systems in the City of Osorno in Chile, which exhibits the “checkerboard layout” typically found in many South American cities. The network location model can support the strategic planning of investments in renewable energy projects because it permits the analysis of changing energy prices, calculation of break-even prices for heat and electricity, and estimation of greenhouse gas emission savings.
Zeitschrift für Ener... arrow_drop_down Zeitschrift für EnergiewirtschaftArticle . 2017 . Peer-reviewedLicense: Springer TDMData sources: CrossrefUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2018Data sources: Universitätsbibliographie, Universität Duisburg-Essenadd 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/s12398-017-0216-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Zeitschrift für Ener... arrow_drop_down Zeitschrift für EnergiewirtschaftArticle . 2017 . Peer-reviewedLicense: Springer TDMData sources: CrossrefUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2018Data sources: Universitätsbibliographie, Universität Duisburg-Essenadd 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/s12398-017-0216-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2013 United StatesPublisher:Public Library of Science (PLoS) Funded by:NSF | Collaborative Research: C...NSF| Collaborative Research: Continental-Scale Monitoring, Modeling and Forecasting of Phenological Responses to Climate ChangeAuthors: Archetti, Marco; Richardson, Andrew; O'Keefe, John F.; Delpierre, Nicolas;Climate change affects the phenology of many species. As temperature and precipitation are thought to control autumn color change in temperate deciduous trees, it is possible that climate change might also affect the phenology of autumn colors. Using long-term data for eight tree species in a New England hardwood forest, we show that the timing and cumulative amount of autumn color are correlated with variation in temperature and precipitation at specific times of the year. A phenological model driven by accumulated cold degree-days and photoperiod reproduces most of the interspecific and interannual variability in the timing of autumn colors. We use this process-oriented model to predict changes in the phenology of autumn colors to 2099, showing that, while responses vary among species, climate change under standard IPCC projections will lead to an overall increase in the amount of autumn colors for most species.
PLoS ONE arrow_drop_down Digital Access to Scholarship at HarvardArticle . 2013Data sources: Digital Access to Scholarship at HarvardHarvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0057373&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 10% Powered by BIP!
more_vert PLoS ONE arrow_drop_down Digital Access to Scholarship at HarvardArticle . 2013Data sources: Digital Access to Scholarship at HarvardHarvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0057373&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Research , Preprint 2005Publisher:Elsevier BV Authors: Christoph Weber; Philip Vogel;doi: 10.2139/ssrn.1653408
Small decentralized power generation units (DG) are politically promoted because of their potential to reduce GHG-emissions and the existing dependency on fossil fuels. A long term goal of this promotion should be the creation of a level playing field for DG and conventional power generation. Due to the impact of DG on the electricity grid infrastructure, future regulation should consider the costs and benefits of the integration of decentralized energy generation units. Without an adequate consideration, the overall costs of the electricity generation system will be unnecessarily high. The present paper analyses, based on detailed modelling of decentralized demand and supply as well as of the overall system, the marginal costs or savings resulting from decentralized production. Thereby particular focus is laid on taking adequately into account the stochasticity both of energy demand and energy supply. An efficient grid pricing system should then remunerate long-term grid cost savings to operators of decentralized energy production or/and charge long-term additional grid costs to these operators. With detailed models of decentralized demand and supply as well as the overall system, the marginal costs or savings resulting from decentralized production are determined and their dependency on characteristics of the grid and of the decentralized supply are discussed.
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=10.2139/ssrn.1653408&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 1 citations 1 popularity Average influence Average impulse Average 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=10.2139/ssrn.1653408&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Journal 2017 United KingdomPublisher:American Geophysical Union (AGU) Funded by:UKRI | Integrated assessment of ...UKRI| Integrated assessment of the emission-health-socioeconomics nexus and air pollution mitigation solutions and interventions in Beijing (INHANCE)Dabo Guan; Zhuguo Ma; Zhifu Mi; Zhifu Mi; Heran Zheng; Jing Meng; Yuli Shan; Heike Schroeder; Jibo Ma; Chongmao Li; Chongmao Li;doi: 10.1002/2017ef000571
AbstractBecause of its low level of energy consumption and the small scale of its industrial development, the Tibet Autonomous Region has historically been excluded from China's reported energy statistics, including those regarding CO2 emissions. In this paper, we estimate Tibet's energy consumption using limited online documents, and we calculate the 2014 energy‐related and process‐related CO2 emissions of Tibet and its seven prefecture‐level administrative divisions for the first time. Our results show that 5.52 million tons of CO2 were emitted in Tibet in 2014; 33% of these emissions are associated with cement production. Tibet's emissions per capita amounted to 1.74 tons in 2014, which is substantially lower than the national average, although Tibet's emission intensity is relatively high at 0.60 tons per thousand yuan in 2014. Among Tibet's seven prefecture‐level administrative divisions, Lhasa City and Shannan Region are the two largest CO2 contributors and have the highest per capita emissions and emission intensities. The Nagqu and Nyingchi regions emit little CO2 due to their farming/pasturing‐dominated economies. This quantitative measure of Tibet's regional CO2 emissions provides solid data support for Tibet's actions on climate change and emission reductions.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2017 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of East Anglia: UEA Digital RepositoryArticle . 2017License: 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=10.1002/2017ef000571&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 52 citations 52 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2017 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of East Anglia: UEA Digital RepositoryArticle . 2017License: 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=10.1002/2017ef000571&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 Italy, GermanyPublisher:Springer Science and Business Media LLC Authors: Castellani F; Esposito A; Geldermann J; Altieri R;handle: 20.500.14243/354044
Purpose In Italy, composting olive mill waste has become a common practice, since it mitigates the environmental problems associated with spreading the waste on land. Compost can be used to prepare growth media for plant nursery cultivation as a substitute for peat, a non-renewable resource whose extraction has long raised environmental concerns. Here, we investigate two common composting procedures--open windrow and static-pile in gas-permeable bags--and compare them to evaluate their environmental impact. Methods We perform a cradle-to-grave life cycle assessment (LCA) in accordance with ISO 14040 and 14044. The LCA considers carbon storage in the soil after 100 years, fugitive greenhouse gas (GHG) emissions, and the impacts avoided by substituting for peat. We use cumulative energy demand, global warming potential (GWP), acidification potential, and eutrophication potential indicators in a contribution analysis and explore how the re-use of olive pits for energy production and reduction of commercial fertilizers improves the environmental balance. We also present a scenario analysis that indicates how parameter fluctuations affect the results. Results and discussion Our study shows that peat's impacts can be significantly reduced from 1162.3 to 96.3 kg CO2-eq/Mg for open windrow compost or 43.1 kg CO2-eq/Mg for static-pile compost in gas-permeable bags. For static-pile composting, the lack of volatile organic compound and ammonia emissions and the detection of oxygen concentrations above 12% vol. suggest fully aerobic conditions. Fugitive greenhouse gas emissions were the most important contributions to the GWP. In the contribution analysis for static-pile composting, the avoidance of compost spreading and the carbon storage effect (due to compost usage) contributed 54% of the overall impacts to GWP and between 21 and 45% to the other indicators. Conclusions This LCA study illustrates how horticulturists can improve their resource management practices by recycling olive mill waste materials. Proper management of composting unit aeration can reduce fugitive GHG emissions.
Publikationenserver ... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2019The International Journal of Life Cycle AssessmentArticle . 2018 . Peer-reviewedLicense: Springer TDMData sources: CrossrefUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2019Data sources: Universitätsbibliographie, Universität Duisburg-Essenadd 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/s11367-018-1514-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 6 citations 6 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Publikationenserver ... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2019The International Journal of Life Cycle AssessmentArticle . 2018 . Peer-reviewedLicense: Springer TDMData sources: CrossrefUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2019Data sources: Universitätsbibliographie, Universität Duisburg-Essenadd 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/s11367-018-1514-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2012 France, Australia, Netherlands, Australia, Argentina, Argentina, ItalyPublisher:Springer Science and Business Media LLC Funded by:EC | TRANZFOREC| TRANZFORAnna L. Jacobsen; Mark Westoby; Jarmila Pittermann; Amy E. Zanne; Amy E. Zanne; Frederic Lens; Hafiz Maherali; R. Brandon Pratt; Patrick J. Mitchell; Radika Bhaskar; Ian J. Wright; Sean M. Gleason; Andrea Nardini; John S. Sperry; Uwe G. Hacke; Taylor S. Feild; Maurizio Mencuccini; Sylvain Delzon; Steven Jansen; Brendan Choat; Sandra Janet Bucci; Stefan Mayr; Timothy J. Brodribb; Jordi Martínez-Vilalta; Hervé Cochard; Hervé Cochard;Shifts in rainfall patterns and increasing temperatures associated with climate change are likely to cause widespread forest decline in regions where droughts are predicted to increase in duration and severity. One primary cause of productivity loss and plant mortality during drought is hydraulic failure. Drought stress creates trapped gas emboli in the water transport system, which reduces the ability of plants to supply water to leaves for photosynthetic gas exchange and can ultimately result in desiccation and mortality. At present we lack a clear picture of how thresholds to hydraulic failure vary across a broad range of species and environments, despite many individual experiments. Here we draw together published and unpublished data on the vulnerability of the transport system to drought-induced embolism for a large number of woody species, with a view to examining the likely consequences of climate change for forest biomes. We show that 70% of 226 forest species from 81 sites worldwide operate with narrow (<1 megapascal) hydraulic safety margins against injurious levels of drought stress and therefore potentially face long-term reductions in productivity and survival if temperature and aridity increase as predicted for many regions across the globe. Safety margins are largely independent of mean annual precipitation, showing that there is global convergence in the vulnerability of forests to drought, with all forest biomes equally vulnerable to hydraulic failure regardless of their current rainfall environment. These findings provide insight into why drought-induced forest decline is occurring not only in arid regions but also in wet forests not normally considered at drought risk.
Nature arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2012Data sources: INRIA a CCSD electronic archive serverhttp://dx.doi.org/10.1038/natu...Other literature typeData sources: European Union Open Data PortalJames Cook University, Australia: ResearchOnline@JCUArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Naturalis Institutional RepositoryArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2012Data 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/nature11688&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 2K citations 2,078 popularity Top 0.01% influence Top 0.1% impulse Top 0.01% Powered by BIP!
more_vert Nature arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2012Data sources: INRIA a CCSD electronic archive serverhttp://dx.doi.org/10.1038/natu...Other literature typeData sources: European Union Open Data PortalJames Cook University, Australia: ResearchOnline@JCUArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Naturalis Institutional RepositoryArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2012Data 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/nature11688&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Research , Preprint 2013 Italy, United Kingdom, United KingdomPublisher:University of Chicago Press Funded by:EC | LUCESEC| LUCESAuthors: Fezzi, Carlo; Bateman, Ian;handle: 11572/141325 , 10871/19374
Ricardian (hedonic) analyses of the impact of climate change on farmland values typically assume additively separable effects of temperature and precipitation. Model estimation is implemented on data aggregated across counties or large regions. We investigate the potential bias induced by such approaches by using a large panel of farm-level data. Consistent with the literature on plant physiology, we observe significant non-linear interaction effects, with more abundant precipitation acting as a mitigating factor for increased heat stress. This interaction disappears when the same data is aggregated in the conventional manner, leading to predictions of climate change impacts which are significantly distorted.
Research Papers in E... arrow_drop_down University of East Anglia digital repositoryArticle . 2015 . Peer-reviewedData sources: University of East Anglia digital repositoryJournal of the Association of Environmental and Resource EconomistsArticle . 2015 . Peer-reviewedData sources: CrossrefUniversity of East Anglia: UEA Digital RepositoryArticle . 2015Data 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=10.1086/680257&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu80 citations 80 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Research Papers in E... arrow_drop_down University of East Anglia digital repositoryArticle . 2015 . Peer-reviewedData sources: University of East Anglia digital repositoryJournal of the Association of Environmental and Resource EconomistsArticle . 2015 . Peer-reviewedData sources: CrossrefUniversity of East Anglia: UEA Digital RepositoryArticle . 2015Data 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=10.1086/680257&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 United Kingdom, NetherlandsPublisher:Springer Science and Business Media LLC Authors: Gabriela de Azevedo Couto; Irene Lorenzoni; Myanna Lahsen; Myanna Lahsen;AbstractAnalyzing the politics and policy implications in Brazil of attributing extreme weather events to climate change, we argue for greater place-based sensitivity in recommendations for how to frame extreme weather events relative to climate change. Identifying geographical limits of current recommendations to emphasize the climate role in such events, we explore Brazilian framings of the two tragic national disasters, as apparent in newspaper coverage of climate change. We find that a variety of contextual factors compel environmental leaders and scientists in Brazil to avoid and discourage highlighting the role of climate change in national extreme events. Against analysts’ general deficit-finding assumptions, we argue that the Brazilian framing tendency reflects sound strategic, socio-environmental reasoning, and discuss circumstances in which attributing such events to climate change—and, by extension, attribution science—can be ineffective for policy action on climate change and other socio-environmental issues in need of public pressure and preventive action. The case study has implications beyond Brazil by begging greater attention to policies and politics in particular places before assuming that attribution science and discursive emphasis on the climate role in extreme events are the most strategic means of achieving climate mitigation and disaster preparedness. Factors at play in Brazil might also structure extreme events attribution politics in other countries, not least some other countries of the global South.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2020 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of East Anglia: UEA Digital RepositoryArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff Publicationsadd 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/s10584-019-02642-z&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 33 citations 33 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2020 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of East Anglia: UEA Digital RepositoryArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff Publicationsadd 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/s10584-019-02642-z&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 Italy, NetherlandsPublisher:Elsevier BV Authors: Marc van den Homberg; Aklilu Teklesadik; Dennis L.J. van den Berg; Gabriela Guimarães Nobre; +3 AuthorsMarc van den Homberg; Aklilu Teklesadik; Dennis L.J. van den Berg; Gabriela Guimarães Nobre; Gabriela Guimarães Nobre; Joris J.L. Westerveld; Sjoerd Stuit;Food insecurity is a growing concern due to man-made conflicts, climate change, and economic downturns. Forecasting the state of food insecurity is essential to be able to trigger early actions, for example, by humanitarian actors. To measure the actual state of food insecurity, expert and consensus-based approaches and surveys are currently used. Both require substantial manpower, time, and budget. This paper introduces an extreme gradient-boosting machine learning model to forecast monthly transitions in the state of food security in Ethiopia, at a spatial granularity of livelihood zones, and for lead times of one to 12 months, using open-source data. The transition in the state of food security, hereafter referred to as predictand, is represented by the Integrated Food Security Phase Classification Data. From 19 categories of datasets, 130 variables were derived and used as predictors of the transition in the state of food security. The predictors represent changes in climate and land, market, conflict, infrastructure, demographics and livelihood zone characteristics. The most relevant predictors are found to be food security history and surface soil moisture. Overall, the model performs best for forecasting Deteriorations and Improvements in the state of food security compared to the baselines. The proposed method performs (F1 macro score) at least twice as well as the best baseline (a dummy classifier) for a Deterioration. The model performs better when forecasting long-term (7 months; F1 macro average = 0.61) compared to short-term (3 months; F1 macro average = 0.51). Combining machine learning, Integrated Phase Classification (IPC) ratings from monitoring systems, and open data can add value to existing consensus-based forecasting approaches as this combination provides longer lead times and more regular updates. Our approach can also be transferred to other countries as most of the data on the predictors are openly available from global data repositories.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefThe Science of The Total EnvironmentArticle . 2021License: CC BY NC NDData sources: Pure Utrecht UniversityThe Science of The Total EnvironmentArticle . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2021.147366&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 37 citations 37 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefThe Science of The Total EnvironmentArticle . 2021License: CC BY NC NDData sources: Pure Utrecht UniversityThe Science of The Total EnvironmentArticle . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2021.147366&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 NetherlandsPublisher:IOP Publishing Funded by:EC | COUPLEDEC| COUPLEDPeter H. Verburg; Peter H. Verburg; Henry King; Floris Casper Leijten; Floris Casper Leijten; Sarah Sim;The production of palm oil, soy, beef and timber are key drivers of global forest loss. For this reason, over 470 companies involved in the production, processing or distribution of these commodities have issued commitments to eliminate or reduce deforestation from their supply chains. However, the effectiveness of these commitments is uncertain since there is considerable variation in ambition and scope and there are no globally agreed definitions of what constitutes a forest. Many commitments identify high conservation value forests (HCVFs), high carbon stock forests (HCSFs) and forests on tropical peatland as priority areas for conservation. This allows for mapping of the global extent of forest areas classified as such, to achieve an assessment of the area that may be at reduced risk of development if companies comply with their zero deforestation commitments. Depending on the criteria used, the results indicate that between 34% and 74% of global forests qualify as either HCVF, HCSF or forests on tropical peatland. However, we found that the total extent of these forest areas varies widely depending on the choice of forest map. Within forests which were not designated as HCVF, HCSF or forests on tropical peatland, there is substantial overlap with areas that are highly suitable for agricultural development. Since these areas are unlikely to be protected by zero-deforestation commitments, they may be subject to increased pressure resulting from leakage of areas designated as HCVF, HCSF and tropical peatland forests. Considerable uncertainties around future outcomes remain, since only a proportion of the global market is currently covered by corporate commitments. Further work is needed to map the synergies between corporate commitments and government policies on land use. In addition, standardized criteria for delineating forests covered by the commitments are recommended.
Environmental Resear... arrow_drop_down http://www.scopus.com/inward/r...Article . 2020Data sources: DANS (Data Archiving and Networked Services)Environmental Research LettersArticle . 2020Data sources: DANS (Data Archiving and Networked Services)Environmental Research LettersArticle . 2020Environmental Research LettersArticle . 2020 . 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/ab8158&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 5visibility views 5 download downloads 9 Powered bymore_vert Environmental Resear... arrow_drop_down http://www.scopus.com/inward/r...Article . 2020Data sources: DANS (Data Archiving and Networked Services)Environmental Research LettersArticle . 2020Data sources: DANS (Data Archiving and Networked Services)Environmental Research LettersArticle . 2020Environmental Research LettersArticle . 2020 . 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/ab8158&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu