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description Publicationkeyboard_double_arrow_right Article , Other literature type 2020Publisher:Copernicus GmbH Funded by:EC | METLAKE, EC | VERIFY, EC | IMBALANCE-P +4 projectsEC| METLAKE ,EC| VERIFY ,EC| IMBALANCE-P ,EC| CHE ,RCN| Integrated Carbon Observation System (ICOS)-Norway and Ocean Thematic Centre (OTC) ,EC| VISUALMEDIA ,AKA| Novel soil management practices - key for sustainable bioeconomy and climate change mitigation -SOMPA / Consortium: SOMPAAna Maria Roxana Petrescu; Chunjing Qiu; Philippe Ciais; Rona L. Thompson; Philippe Peylin; Matthew J. McGrath; Efisio Solazzo; Greet Janssens‐Maenhout; Francesco N. Tubiello; P. Bergamaschi; D. Brunner; Glen P. Peters; L. Höglund-Isaksson; Pierre Regnier; Ronny Lauerwald; David Bastviken; Aki Tsuruta; Wilfried Winiwarter; Prabir K. Patra; Matthias Kuhnert; Gabriel D. Orregioni; Monica Crippa; Marielle Saunois; Lucia Perugini; Tiina Markkanen; Tuula Aalto; Christine Groot Zwaaftink; Yuanzhi Yao; Chris Wilson; Giulia Conchedda; Dirk Günther; Adrian Leip; Pete Smith; Jean‐Matthieu Haussaire; Antti Leppänen; Alistair J. Manning; Joe McNorton; Patrick Brockmann; A.J. Dolman;Abstract. Reliable quantification of the sources and sinks of greenhouse gases, together with trends and uncertainties, is essential to monitoring the progress in mitigating anthropogenic emissions under the Paris Agreement. This study provides a consolidated synthesis of CH4 and N2O emissions with consistently derived state-of-the-art bottom-up (BU) and top-down (TD) data sources for the European Union and UK (EU27+UK). We integrate recent emission inventory data, ecosystem process-based model results, and inverse modelling estimates over the period 1990–2018. BU and TD products are compared with European National GHG Inventories (NGHGI) reported to the UN climate convention secretariat UNFCCC in 2019. For uncertainties, we used for NGHGI the standard deviation obtained by varying parameters of inventory calculations, reported by the Member States following the IPCC guidelines recommendations. For atmospheric inversion models (TD) or other inventory datasets (BU), we defined uncertainties from the spread between different model estimates or model specific uncertainties when reported. In comparing NGHGI with other approaches, a key source of bias is the activities included, e.g. anthropogenic versus anthropogenic plus natural fluxes. In inversions, the separation between anthropogenic and natural emissions is sensitive to the geospatial prior distribution of emissions. Over the 2011–2015 period, which is the common denominator of data availability between all sources, the anthropogenic BU approaches are directly comparable, reporting mean emissions of 20.8 Tg CH4 yr−1 (EDGAR v5.0) and 19.0 Tg CH4 yr−1 (GAINS), consistent with the NGHGI estimates of 18.9 ± 1.7 Tg CH4 yr−1. TD total inversions estimates give higher emission estimates, as they also include natural emissions. Over the same period regional TD inversions with higher resolution atmospheric transport models give a mean emission of 28.8 Tg CH4 yr−1. Coarser resolution global TD inversions are consistent with regional TD inversions, for global inversions with GOSAT satellite data (23.3 Tg CH4yr−1) and surface network (24.4 Tg CH4 yr−1). The magnitude of natural peatland emissions from the JSBACH-HIMMELI model, natural rivers and lakes emissions and geological sources together account for the gap between NGHGI and inversions and account for 5.2 Tg CH4 yr−1. For N2O emissions, over the 2011–2015 period, both BU approaches (EDGAR v5.0 and GAINS) give a mean value of anthropogenic emissions of 0.8 and 0.9 Tg N2O yr−1 respectively, agreeing with the NGHGI data (0.9 ± 0.6 Tg N2O yr−1). Over the same period, the average of the three total TD global and regional inversions was 1.3 ± 0.4 and 1.3 ± 0.1 Tg N2O yr−1 respectively, compared to 0.9 Tg N2O yr−1 from the BU data. The TU and BU comparison method defined in this study can be operationalized for future yearly updates for the calculation of CH4 and N2O budgets both at EU+UK scale and at national scale. The referenced datasets related to figures are visualized at https://doi.org/10.5281/zenodo.4288969 (Petrescu et al., 2020).
https://doi.org/10.5... arrow_drop_down https://doi.org/10.5194/essd-2...Article . 2020 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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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more_vert https://doi.org/10.5... arrow_drop_down https://doi.org/10.5194/essd-2...Article . 2020 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2020 Belgium, Netherlands, France, United KingdomPublisher:Copernicus GmbH Frédéric Chevallier; Pierre Regnier; Julia Pongratz; Atul K. Jain; Roxana Petrescu; Robert J. Scholes; Pep Canadell; Masayuki Kondo; Hui Yang; Marielle Saunois; Bo Zheng; Wouter Peters; Wouter Peters; Benjamin Poulter; Benjamin Poulter; Benjamin Poulter; Matthew W. Jones; Hanqin Tian; Xuhui Wang; Shilong Piao; Shilong Piao; Ronny Lauerwald; Ronny Lauerwald; Ingrid T. Luijkx; Anatoli Shvidenko; Anatoli Shvidenko; Gustaf Hugelius; Celso von Randow; Chunjing Qiu; Robert B. Jackson; Robert B. Jackson; Prabir K. Patra; Philippe Ciais; Ana Bastos;Abstract. Regional land carbon budgets provide insights on the spatial distribution of the land uptake of atmospheric carbon dioxide, and can be used to evaluate carbon cycle models and to define baselines for land-based additional mitigation efforts. The scientific community has been involved in providing observation-based estimates of regional carbon budgets either by downscaling atmospheric CO2 observations into surface fluxes with atmospheric inversions, by using inventories of carbon stock changes in terrestrial ecosystems, by upscaling local field observations such as flux towers with gridded climate and remote sensing fields or by integrating data-driven or process-oriented terrestrial carbon cycle models. The first coordinated attempt to collect regional carbon budgets for nine regions covering the entire globe in the RECCAP-1 project has delivered estimates for the decade 2000–2009, but these budgets were not comparable between regions, due to different definitions and component fluxes reported or omitted. The recent recognition of lateral fluxes of carbon by human activities and rivers, that connect CO2 uptake in one area with its release in another also requires better definition and protocols to reach harmonized regional budgets that can be summed up to the globe and compared with the atmospheric CO2 growth rate and inversion results. In this study, for the international initiative RECCAP-2 coordinated by the Global Carbon Project, which aims as an update of regional carbon budgets over the last two decades based on observations, for 10 regions covering the globe, with a better harmonization that the precursor project, we provide recommendations for using atmospheric inversions results to match bottom-up carbon accounting and models, and we define the different component fluxes of the net land atmosphere carbon exchange that should be reported by each research group in charge of each region. Special attention is given to lateral fluxes, inland water fluxes and land use fluxes.
Université de Versai... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefGeoscientific Model Development (GMD)Article . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefWageningen Staff PublicationsArticle . 2022License: 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.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 46 citations 46 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
visibility 7visibility views 7 download downloads 13 Powered bymore_vert Université de Versai... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefGeoscientific Model Development (GMD)Article . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefWageningen Staff PublicationsArticle . 2022License: 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.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:Zenodo Stoico, Vincenzo; Cortellessa, Vittorio; Malavolta, Ivano; Di Pompeo, Daniele; Pomante, Luigi; Lago, Patricia;Replication package of the paper titled "An approach using performance models for supporting energy analysis of software systems". Usage instructions are contained in the README.md file.
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For further information contact us at helpdesk@openaire.eu0 citations 0 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Elsevier BV Dries L. T. Hegger; Piotr Matczak; Maria Kaufmann; C. Larrue; Thomas Schellenberger; Mark Wiering; Hannelore Mees; Wessel Ganzevoort;handle: 2066/175957
Abstract Floods are challenging the resilience of societies all over the world. In many countries there are discussions on diversifying the strategies for flood risk management, which implies some sort of policy change. To understand the possibilities of such change, a thorough understanding of the forces of stability and change of underlying governance arrangements is required. It follows from the path dependency literature that countries which rely strongly on flood infrastructures, as part of flood defense strategies, would be more path dependent. Consequently there is a higher chance to find more incremental change in these countries than in countries that have a more diversified set of strategies. However, comparative and detailed empirical studies that may help scrutinize this assumption are lacking. To address this knowledge gap, this paper investigates how six European countries (Belgium, England, France, The Netherlands, Poland and Sweden) essentially differ with regard to their governance of flood risks. To analyze stability and change, we focus on how countries are responding to certain societal and ecological driving forces (ecological turn; climate change discourses; European policies; and the increasing prevalence of economic rationalizations) that potentially affect the institutional arrangements for flood risk governance. Taking both the variety of flood risk governance in countries and their responses to driving forces into account, we can clarify the conditions of stability or change of flood risk governance arrangements more generally. The analysis shows that the national-level impact of driving forces is strongly influenced by the flood risk governance arrangements in the six countries. Path dependencies are indeed visible in countries with high investments in flood infrastructure accompanied by strongly institutionalized governance arrangements (Poland, the Netherlands) but not only there. Also more diversified countries that are less dependent on flood infrastructure and flood defense only (England) show path dependencies and mostly incremental change. More substantial changes are visible in countries that show moderate diversification of strategies (Belgium, France) or countries that ‘have no strong path yet’ in comprehensive flood risk governance (Sweden). This suggests that policy change can be expected when there is both the internal need and will to change and a barrage of (external) driving forces pushing for change.
Global Environmental... arrow_drop_down Global Environmental ChangeArticle . 2017 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefGlobal Environmental ChangeArticle . 2017Data sources: DANS (Data Archiving and Networked Services)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 62 citations 62 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Global Environmental... arrow_drop_down Global Environmental ChangeArticle . 2017 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefGlobal Environmental ChangeArticle . 2017Data sources: DANS (Data Archiving and Networked Services)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:American Association for the Advancement of Science (AAAS) Authors: Madalina Vlasceanu; Kimberly C. Doell; Joseph B. Bak-Coleman; Boryana Todorova; +196 AuthorsMadalina Vlasceanu; Kimberly C. Doell; Joseph B. Bak-Coleman; Boryana Todorova; Michael M. Berkebile-Weinberg; Samantha J. Grayson; Yash Patel; Danielle Goldwert; Yifei Pei; Alek Chakroff; Ekaterina Pronizius; Karlijn L. van den Broek; Denisa Vlasceanu; Sara Constantino; Michael J. Morais; Philipp Schumann; Steve Rathje; Ke Fang; Salvatore Maria Aglioti; Mark Alfano; Andy J. Alvarado-Yepez; Angélica Andersen; Frederik Anseel; Matthew A. J. Apps; Chillar Asadli; Fonda Jane Awuor; Flavio Azevedo; Piero Basaglia; Jocelyn J. Bélanger; Sebastian Berger; Paul Bertin; Michał Białek; Olga Bialobrzeska; Michelle Blaya-Burgo; Daniëlle N. M. Bleize; Simen Bø; Lea Boecker; Paulo S. Boggio; Sylvie Borau; Björn Bos; Ayoub Bouguettaya; Markus Brauer; Cameron Brick; Tymofii Brik; Roman Briker; Tobias Brosch; Ondrej Buchel; Daniel Buonauro; Radhika Butalia; Héctor Carvacho; Sarah A. E. Chamberlain; Hang-Yee Chan; Dawn Chow; Dongil Chung; Luca Cian; Noa Cohen-Eick; Luis Sebastian Contreras-Huerta; Davide Contu; Vladimir Cristea; Jo Cutler; Silvana D'Ottone; Jonas De Keersmaecker; Sarah Delcourt; Sylvain Delouvée; Kathi Diel; Benjamin D. Douglas; Moritz A. Drupp; Shreya Dubey; Jānis Ekmanis; Christian T. Elbaek; Mahmoud Elsherif; Iris M. Engelhard; Yannik A. Escher; Tom W. Etienne; Laura Farage; Ana Rita Farias; Stefan Feuerriegel; Andrej Findor; Lucia Freira; Malte Friese; Neil Philip Gains; Albina Gallyamova; Sandra J. Geiger; Oliver Genschow; Biljana Gjoneska; Theofilos Gkinopoulos; Beth Goldberg; Amit Goldenberg; Sarah Gradidge; Simone Grassini; Kurt Gray; Sonja Grelle; Siobhán M. Griffin; Lusine Grigoryan; Ani Grigoryan; Dmitry Grigoryev; June Gruber; Johnrev Guilaran; Britt Hadar; Ulf J.J. Hahnel; Eran Halperin; Annelie J. Harvey; Christian A. P. Haugestad; Aleksandra M. Herman; Hal E. Hershfield; Toshiyuki Himichi; Donald W. Hine; Wilhelm Hofmann; Lauren Howe; Enma T. Huaman-Chulluncuy; Guanxiong Huang; Tatsunori Ishii; Ayahito Ito; Fanli Jia; John T. Jost; Veljko Jovanović; Dominika Jurgiel; Ondřej Kácha; Reeta Kankaanpää; Jaroslaw Kantorowicz; Elena Kantorowicz-Reznichenko; Keren Kaplan Mintz; Ilker Kaya; Ozgur Kaya; Narine Khachatryan; Anna Klas; Colin Klein; Christian A. Klöckner; Lina Koppel; Alexandra I. Kosachenko; Emily J. Kothe; Ruth Krebs; Amy R. Krosch; Andre P.M. Krouwel; Yara Kyrychenko; Maria Lagomarsino; Claus Lamm; Florian Lange; Julia Lee Cunningham; Jeffrey Lees; Tak Yan Leung; Neil Levy; Patricia L. Lockwood; Chiara Longoni; Alberto López Ortega; David D. Loschelder; Jackson G. Lu; Yu Luo; Joseph Luomba; Annika E. Lutz; Johann M. Majer; Ezra Markowitz; Abigail A. Marsh; Karen Louise Mascarenhas; Bwambale Mbilingi; Winfred Mbungu; Cillian McHugh; Marijn H.C. Meijers; Hugo Mercier; Fenant Laurent Mhagama; Katerina Michalakis; Nace Mikus; Sarah Milliron; Panagiotis Mitkidis; Fredy S. Monge-Rodríguez; Youri L. Mora; David Moreau; Kosuke Motoki; Manuel Moyano; Mathilde Mus; Joaquin Navajas; Tam Luong Nguyen; Dung Minh Nguyen; Trieu Nguyen; Laura Niemi; Sari R. R. Nijssen; Gustav Nilsonne; Jonas P. Nitschke; Laila Nockur; Ritah Okura; Sezin Öner; Asil Ali Özdoğru; Helena Palumbo; Costas Panagopoulos; Maria Serena Panasiti; Philip Pärnamets; Mariola Paruzel-Czachura; Yuri G. Pavlov; César Payán-Gómez; Adam R. Pearson; Leonor Pereira da Costa; Hannes M. Petrowsky; Stefan Pfattheicher; Nhat Tan Pham; Vladimir Ponizovskiy; Clara Pretus; Gabriel G. Rêgo; Ritsaart Reimann; Shawn A. Rhoads; Julian Riano-Moreno;doi: 10.1126/sciadv.adj5778 , 10.17615/j71a-aj22 , 10.48350/192662 , 10.26181/27048496.v1 , 10.26181/27048496
pmid: 38324680
pmc: PMC10849597
doi: 10.1126/sciadv.adj5778 , 10.17615/j71a-aj22 , 10.48350/192662 , 10.26181/27048496.v1 , 10.26181/27048496
pmid: 38324680
pmc: PMC10849597
Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions’ effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior—several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people’s initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors.
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For further information contact us at helpdesk@openaire.eu36 citations 36 popularity Average influence Top 10% impulse Top 1% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 NetherlandsPublisher:Elsevier BV Yue Dou; Cecilia Zagaria; Louise O'Connor; Wilfried Thuiller; Peter H. Verburg;Ambitious international targets are being developed to protect and restore biodiversity under the Convention on Biological Diversity's post-2020 Global Biodiversity Framework and the European Union's Green Deal. Yet, the land system consequences of meeting such targets are unclear, as multiple pathways may be able to deliver on the set targets. This paper introduces a novel scenario approach assessing the plural implementations of these targets. The Nature Futures Framework (NFF) developed by the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services aims to illustrate the different, positive ways in which society can value nature. It therefore offers a lens through which the spatial implementation of sustainability targets may be envisioned. We used CLUMondo, a spatially explicit model, to simulate plural land system scenarios for Europe for 2050. The model builds on current land system representations of Europe and explores how and where sustainability targets can be implemented under projected population trends and commodity demands. We created three different scenarios in which the sustainability targets are met, each representing an alternative, normative view on nature as represented by the NFF, favoring land systems providing strong climate regulation (Nature for Society), species conservation (Nature for Nature), or agricultural heritage features (Nature as Culture). Our results show that, irrespective of the NFF view, meeting sustainability targets will require European land systems to drastically change, as natural grasslands and forests are forecast to expand while productive areas are projected to undergo a dual intensification and diversification trajectory. Despite each NFF perspective showcasing a similar direction of change, 20% of Europe's land area will differ based on the adopted NFF perspective, with hotspots of disagreement identified in eastern and western Europe. These simulations go beyond existing scenario approaches by not only depicting broad societal developments for Europe, but also by quantifying the land system synergies and trade-offs associated with alternative, archetypal, interpretations and values of how nature may be managed for sustainability. This quantification exemplifies a means towards constructive dialogue, on the one hand by acknowledging areas of contention, and bringing such issues to the fore, and on the other by highlighting points of convergence in a vision for a sustainable Europe.
IIASA DARE arrow_drop_down Wageningen Staff PublicationsArticle . 2023License: 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.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert IIASA DARE arrow_drop_down Wageningen Staff PublicationsArticle . 2023License: 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.
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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=10.1016/j.gloenvcha.2023.102766&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018Publisher:Frontiers Media SA Funded by:ANR | UNITIANR| UNITILéa Frachon; Léa Frachon; Léa Frachon; Claudia Bartoli; Sébastien Carrère; Olivier Bouchez; Adeline Chaubet; Mathieu Gautier; Dominique Roby; Fabrice Roux;Understanding the genetic bases underlying climate adaptation is a key element to predict the potential of species to face climate warming. Although substantial climate variation is observed at a micro-geographic scale, most genomic maps of climate adaptation have been established at broader geographical scales. Here, by using a Pool-Seq approach combined with a Bayesian hierarchical model that control for confounding by population structure, we performed a genome-environment association (GEA) analysis to investigate the genetic basis of adaptation to six climate variables in 168 natural populations of Arabidopsis thaliana distributed in south-west of France. Climate variation among the 168 populations represented up to 24% of climate variation among 521 European locations where A. thaliana inhabits. We identified neat and strong peaks of association, with most of the associated SNPs being significantly enriched in likely functional variants and/or in the extreme tail of genetic differentiation among populations. Furthermore, genes involved in transcriptional mechanisms appear predominant in plant functions associated with local climate adaptation. Globally, our results suggest that climate adaptation is an important driver of genomic variation in A. thaliana at a small spatial scale and mainly involves genome-wide changes in fundamental mechanisms of gene regulation. The identification of climate-adaptive genetic loci at a micro-geographic scale also highlights the importance to include within-species genetic diversity in ecological niche models for projecting potential species distributional shifts over short geographic distances.
Frontiers in Plant S... arrow_drop_down Institut National de la Recherche Agronomique: ProdINRAArticle . 2018License: 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=10.3389/fpls.2018.00967&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 61 citations 61 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Frontiers in Plant S... arrow_drop_down Institut National de la Recherche Agronomique: ProdINRAArticle . 2018License: 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=10.3389/fpls.2018.00967&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:MDPI AG Authors: Mauro Luberti; Alexander Brown; Marco Balsamo; Mauro Capocelli;doi: 10.3390/en15031091
The increasing demand for energy and commodities has led to escalating greenhouse gas emissions, the chief of which is represented by carbon dioxide (CO2). Blue hydrogen (H2), a low-carbon hydrogen produced from natural gas with carbon capture technologies applied, has been suggested as a possible alternative to fossil fuels in processes with hard-to-abate emission sources, including refining, chemical, petrochemical and transport sectors. Due to the recent international directives aimed to combat climate change, even existing hydrogen plants should be retrofitted with carbon capture units. To optimize the process economics of such retrofit, it has been proposed to remove CO2 from the pressure swing adsorption (PSA) tail gas to exploit the relatively high CO2 concentration. This study aimed to design and numerically investigate a vacuum pressure swing adsorption (VPSA) process capable of capturing CO2 from the PSA tail gas of an industrial steam methane reforming (SMR)-based hydrogen plant using NaX zeolite adsorbent. The effect of operating conditions, such as purge-to-feed ratio and desorption pressure, were evaluated in relation to CO2 purity, CO2 recovery, bed productivity and specific energy consumption. We found that conventional cycle configurations, namely a 2-bed, 4-step Skarstrom cycle and a 2-bed, 6-step modified Skarstrom cycle with pressure equalization, were able to concentrate CO2 to a purity greater than 95% with a CO2 recovery of around 77% and 90%, respectively. Therefore, the latter configuration could serve as an efficient process to decarbonize existing hydrogen plants and produce blue H2.
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=10.3390/en15031091&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average 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=10.3390/en15031091&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV V. De Bellis; M. Piras; F. Bozza; E. Malfi; R. Novella; J. Gomez-Soriano; M. Olcina-Girona;Energy Conversion an... arrow_drop_down Energy Conversion and ManagementArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enconman.2024.118395&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Energy Conversion an... arrow_drop_down Energy Conversion and ManagementArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enconman.2024.118395&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023Publisher:MDPI AG Marco Balato; Carlo Petrarca; Annalisa Liccardo; Martina Botti; Luigi Verolino;doi: 10.3390/en16237882
Mismatching operating conditions affect the energetic performance of PhotoVoltaic (PV) systems because they decrease their efficiency and reliability. The two different approaches used to overcome this problem are Distributed Maximum Power Point Tracking (DMPPT) architecture and reconfigurable PV array architecture. These techniques can be considered not only as alternatives but can be combined to reach better performance. To this aim, the present paper presents a new algorithm, based on the joint action of the DMPPT and reconfiguration approaches, applied to a reconfigurable Series-Parallel-Series architecture, which is suitable for domestic PV application. The core of the algorithm is a deterministic cluster analysis based on the shape of the current vs. voltage characteristic of a single PV module combined with its DC/DC converter to perform the DMPPT function. Experimental results are provided to validate the effectiveness of the proposed algorithm and to demonstrate evidence of its major advantages: robustness, simplicity of implementation and time-saving.
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=10.3390/en16237882&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 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=10.3390/en16237882&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Other literature type 2020Publisher:Copernicus GmbH Funded by:EC | METLAKE, EC | VERIFY, EC | IMBALANCE-P +4 projectsEC| METLAKE ,EC| VERIFY ,EC| IMBALANCE-P ,EC| CHE ,RCN| Integrated Carbon Observation System (ICOS)-Norway and Ocean Thematic Centre (OTC) ,EC| VISUALMEDIA ,AKA| Novel soil management practices - key for sustainable bioeconomy and climate change mitigation -SOMPA / Consortium: SOMPAAna Maria Roxana Petrescu; Chunjing Qiu; Philippe Ciais; Rona L. Thompson; Philippe Peylin; Matthew J. McGrath; Efisio Solazzo; Greet Janssens‐Maenhout; Francesco N. Tubiello; P. Bergamaschi; D. Brunner; Glen P. Peters; L. Höglund-Isaksson; Pierre Regnier; Ronny Lauerwald; David Bastviken; Aki Tsuruta; Wilfried Winiwarter; Prabir K. Patra; Matthias Kuhnert; Gabriel D. Orregioni; Monica Crippa; Marielle Saunois; Lucia Perugini; Tiina Markkanen; Tuula Aalto; Christine Groot Zwaaftink; Yuanzhi Yao; Chris Wilson; Giulia Conchedda; Dirk Günther; Adrian Leip; Pete Smith; Jean‐Matthieu Haussaire; Antti Leppänen; Alistair J. Manning; Joe McNorton; Patrick Brockmann; A.J. Dolman;Abstract. Reliable quantification of the sources and sinks of greenhouse gases, together with trends and uncertainties, is essential to monitoring the progress in mitigating anthropogenic emissions under the Paris Agreement. This study provides a consolidated synthesis of CH4 and N2O emissions with consistently derived state-of-the-art bottom-up (BU) and top-down (TD) data sources for the European Union and UK (EU27+UK). We integrate recent emission inventory data, ecosystem process-based model results, and inverse modelling estimates over the period 1990–2018. BU and TD products are compared with European National GHG Inventories (NGHGI) reported to the UN climate convention secretariat UNFCCC in 2019. For uncertainties, we used for NGHGI the standard deviation obtained by varying parameters of inventory calculations, reported by the Member States following the IPCC guidelines recommendations. For atmospheric inversion models (TD) or other inventory datasets (BU), we defined uncertainties from the spread between different model estimates or model specific uncertainties when reported. In comparing NGHGI with other approaches, a key source of bias is the activities included, e.g. anthropogenic versus anthropogenic plus natural fluxes. In inversions, the separation between anthropogenic and natural emissions is sensitive to the geospatial prior distribution of emissions. Over the 2011–2015 period, which is the common denominator of data availability between all sources, the anthropogenic BU approaches are directly comparable, reporting mean emissions of 20.8 Tg CH4 yr−1 (EDGAR v5.0) and 19.0 Tg CH4 yr−1 (GAINS), consistent with the NGHGI estimates of 18.9 ± 1.7 Tg CH4 yr−1. TD total inversions estimates give higher emission estimates, as they also include natural emissions. Over the same period regional TD inversions with higher resolution atmospheric transport models give a mean emission of 28.8 Tg CH4 yr−1. Coarser resolution global TD inversions are consistent with regional TD inversions, for global inversions with GOSAT satellite data (23.3 Tg CH4yr−1) and surface network (24.4 Tg CH4 yr−1). The magnitude of natural peatland emissions from the JSBACH-HIMMELI model, natural rivers and lakes emissions and geological sources together account for the gap between NGHGI and inversions and account for 5.2 Tg CH4 yr−1. For N2O emissions, over the 2011–2015 period, both BU approaches (EDGAR v5.0 and GAINS) give a mean value of anthropogenic emissions of 0.8 and 0.9 Tg N2O yr−1 respectively, agreeing with the NGHGI data (0.9 ± 0.6 Tg N2O yr−1). Over the same period, the average of the three total TD global and regional inversions was 1.3 ± 0.4 and 1.3 ± 0.1 Tg N2O yr−1 respectively, compared to 0.9 Tg N2O yr−1 from the BU data. The TU and BU comparison method defined in this study can be operationalized for future yearly updates for the calculation of CH4 and N2O budgets both at EU+UK scale and at national scale. The referenced datasets related to figures are visualized at https://doi.org/10.5281/zenodo.4288969 (Petrescu et al., 2020).
https://doi.org/10.5... arrow_drop_down https://doi.org/10.5194/essd-2...Article . 2020 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert https://doi.org/10.5... arrow_drop_down https://doi.org/10.5194/essd-2...Article . 2020 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2020-367&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2020 Belgium, Netherlands, France, United KingdomPublisher:Copernicus GmbH Frédéric Chevallier; Pierre Regnier; Julia Pongratz; Atul K. Jain; Roxana Petrescu; Robert J. Scholes; Pep Canadell; Masayuki Kondo; Hui Yang; Marielle Saunois; Bo Zheng; Wouter Peters; Wouter Peters; Benjamin Poulter; Benjamin Poulter; Benjamin Poulter; Matthew W. Jones; Hanqin Tian; Xuhui Wang; Shilong Piao; Shilong Piao; Ronny Lauerwald; Ronny Lauerwald; Ingrid T. Luijkx; Anatoli Shvidenko; Anatoli Shvidenko; Gustaf Hugelius; Celso von Randow; Chunjing Qiu; Robert B. Jackson; Robert B. Jackson; Prabir K. Patra; Philippe Ciais; Ana Bastos;Abstract. Regional land carbon budgets provide insights on the spatial distribution of the land uptake of atmospheric carbon dioxide, and can be used to evaluate carbon cycle models and to define baselines for land-based additional mitigation efforts. The scientific community has been involved in providing observation-based estimates of regional carbon budgets either by downscaling atmospheric CO2 observations into surface fluxes with atmospheric inversions, by using inventories of carbon stock changes in terrestrial ecosystems, by upscaling local field observations such as flux towers with gridded climate and remote sensing fields or by integrating data-driven or process-oriented terrestrial carbon cycle models. The first coordinated attempt to collect regional carbon budgets for nine regions covering the entire globe in the RECCAP-1 project has delivered estimates for the decade 2000–2009, but these budgets were not comparable between regions, due to different definitions and component fluxes reported or omitted. The recent recognition of lateral fluxes of carbon by human activities and rivers, that connect CO2 uptake in one area with its release in another also requires better definition and protocols to reach harmonized regional budgets that can be summed up to the globe and compared with the atmospheric CO2 growth rate and inversion results. In this study, for the international initiative RECCAP-2 coordinated by the Global Carbon Project, which aims as an update of regional carbon budgets over the last two decades based on observations, for 10 regions covering the globe, with a better harmonization that the precursor project, we provide recommendations for using atmospheric inversions results to match bottom-up carbon accounting and models, and we define the different component fluxes of the net land atmosphere carbon exchange that should be reported by each research group in charge of each region. Special attention is given to lateral fluxes, inland water fluxes and land use fluxes.
Université de Versai... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefGeoscientific Model Development (GMD)Article . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefWageningen Staff PublicationsArticle . 2022License: 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=10.5194/gmd-2020-259&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 46 citations 46 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
visibility 7visibility views 7 download downloads 13 Powered bymore_vert Université de Versai... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefGeoscientific Model Development (GMD)Article . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefWageningen Staff PublicationsArticle . 2022License: 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.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:Zenodo Stoico, Vincenzo; Cortellessa, Vittorio; Malavolta, Ivano; Di Pompeo, Daniele; Pomante, Luigi; Lago, Patricia;Replication package of the paper titled "An approach using performance models for supporting energy analysis of software systems". Usage instructions are contained in the README.md file.
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For further information contact us at helpdesk@openaire.eu0 citations 0 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=10.5281/zenodo.7877782&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Elsevier BV Dries L. T. Hegger; Piotr Matczak; Maria Kaufmann; C. Larrue; Thomas Schellenberger; Mark Wiering; Hannelore Mees; Wessel Ganzevoort;handle: 2066/175957
Abstract Floods are challenging the resilience of societies all over the world. In many countries there are discussions on diversifying the strategies for flood risk management, which implies some sort of policy change. To understand the possibilities of such change, a thorough understanding of the forces of stability and change of underlying governance arrangements is required. It follows from the path dependency literature that countries which rely strongly on flood infrastructures, as part of flood defense strategies, would be more path dependent. Consequently there is a higher chance to find more incremental change in these countries than in countries that have a more diversified set of strategies. However, comparative and detailed empirical studies that may help scrutinize this assumption are lacking. To address this knowledge gap, this paper investigates how six European countries (Belgium, England, France, The Netherlands, Poland and Sweden) essentially differ with regard to their governance of flood risks. To analyze stability and change, we focus on how countries are responding to certain societal and ecological driving forces (ecological turn; climate change discourses; European policies; and the increasing prevalence of economic rationalizations) that potentially affect the institutional arrangements for flood risk governance. Taking both the variety of flood risk governance in countries and their responses to driving forces into account, we can clarify the conditions of stability or change of flood risk governance arrangements more generally. The analysis shows that the national-level impact of driving forces is strongly influenced by the flood risk governance arrangements in the six countries. Path dependencies are indeed visible in countries with high investments in flood infrastructure accompanied by strongly institutionalized governance arrangements (Poland, the Netherlands) but not only there. Also more diversified countries that are less dependent on flood infrastructure and flood defense only (England) show path dependencies and mostly incremental change. More substantial changes are visible in countries that show moderate diversification of strategies (Belgium, France) or countries that ‘have no strong path yet’ in comprehensive flood risk governance (Sweden). This suggests that policy change can be expected when there is both the internal need and will to change and a barrage of (external) driving forces pushing for change.
Global Environmental... arrow_drop_down Global Environmental ChangeArticle . 2017 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefGlobal Environmental ChangeArticle . 2017Data sources: DANS (Data Archiving and Networked Services)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 62 citations 62 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Global Environmental... arrow_drop_down Global Environmental ChangeArticle . 2017 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefGlobal Environmental ChangeArticle . 2017Data sources: DANS (Data Archiving and Networked Services)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.gloenvcha.2017.02.006&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:American Association for the Advancement of Science (AAAS) Authors: Madalina Vlasceanu; Kimberly C. Doell; Joseph B. Bak-Coleman; Boryana Todorova; +196 AuthorsMadalina Vlasceanu; Kimberly C. Doell; Joseph B. Bak-Coleman; Boryana Todorova; Michael M. Berkebile-Weinberg; Samantha J. Grayson; Yash Patel; Danielle Goldwert; Yifei Pei; Alek Chakroff; Ekaterina Pronizius; Karlijn L. van den Broek; Denisa Vlasceanu; Sara Constantino; Michael J. Morais; Philipp Schumann; Steve Rathje; Ke Fang; Salvatore Maria Aglioti; Mark Alfano; Andy J. Alvarado-Yepez; Angélica Andersen; Frederik Anseel; Matthew A. J. Apps; Chillar Asadli; Fonda Jane Awuor; Flavio Azevedo; Piero Basaglia; Jocelyn J. Bélanger; Sebastian Berger; Paul Bertin; Michał Białek; Olga Bialobrzeska; Michelle Blaya-Burgo; Daniëlle N. M. Bleize; Simen Bø; Lea Boecker; Paulo S. Boggio; Sylvie Borau; Björn Bos; Ayoub Bouguettaya; Markus Brauer; Cameron Brick; Tymofii Brik; Roman Briker; Tobias Brosch; Ondrej Buchel; Daniel Buonauro; Radhika Butalia; Héctor Carvacho; Sarah A. E. Chamberlain; Hang-Yee Chan; Dawn Chow; Dongil Chung; Luca Cian; Noa Cohen-Eick; Luis Sebastian Contreras-Huerta; Davide Contu; Vladimir Cristea; Jo Cutler; Silvana D'Ottone; Jonas De Keersmaecker; Sarah Delcourt; Sylvain Delouvée; Kathi Diel; Benjamin D. Douglas; Moritz A. Drupp; Shreya Dubey; Jānis Ekmanis; Christian T. Elbaek; Mahmoud Elsherif; Iris M. Engelhard; Yannik A. Escher; Tom W. Etienne; Laura Farage; Ana Rita Farias; Stefan Feuerriegel; Andrej Findor; Lucia Freira; Malte Friese; Neil Philip Gains; Albina Gallyamova; Sandra J. Geiger; Oliver Genschow; Biljana Gjoneska; Theofilos Gkinopoulos; Beth Goldberg; Amit Goldenberg; Sarah Gradidge; Simone Grassini; Kurt Gray; Sonja Grelle; Siobhán M. Griffin; Lusine Grigoryan; Ani Grigoryan; Dmitry Grigoryev; June Gruber; Johnrev Guilaran; Britt Hadar; Ulf J.J. Hahnel; Eran Halperin; Annelie J. Harvey; Christian A. P. Haugestad; Aleksandra M. Herman; Hal E. Hershfield; Toshiyuki Himichi; Donald W. Hine; Wilhelm Hofmann; Lauren Howe; Enma T. Huaman-Chulluncuy; Guanxiong Huang; Tatsunori Ishii; Ayahito Ito; Fanli Jia; John T. Jost; Veljko Jovanović; Dominika Jurgiel; Ondřej Kácha; Reeta Kankaanpää; Jaroslaw Kantorowicz; Elena Kantorowicz-Reznichenko; Keren Kaplan Mintz; Ilker Kaya; Ozgur Kaya; Narine Khachatryan; Anna Klas; Colin Klein; Christian A. Klöckner; Lina Koppel; Alexandra I. Kosachenko; Emily J. Kothe; Ruth Krebs; Amy R. Krosch; Andre P.M. Krouwel; Yara Kyrychenko; Maria Lagomarsino; Claus Lamm; Florian Lange; Julia Lee Cunningham; Jeffrey Lees; Tak Yan Leung; Neil Levy; Patricia L. Lockwood; Chiara Longoni; Alberto López Ortega; David D. Loschelder; Jackson G. Lu; Yu Luo; Joseph Luomba; Annika E. Lutz; Johann M. Majer; Ezra Markowitz; Abigail A. Marsh; Karen Louise Mascarenhas; Bwambale Mbilingi; Winfred Mbungu; Cillian McHugh; Marijn H.C. Meijers; Hugo Mercier; Fenant Laurent Mhagama; Katerina Michalakis; Nace Mikus; Sarah Milliron; Panagiotis Mitkidis; Fredy S. Monge-Rodríguez; Youri L. Mora; David Moreau; Kosuke Motoki; Manuel Moyano; Mathilde Mus; Joaquin Navajas; Tam Luong Nguyen; Dung Minh Nguyen; Trieu Nguyen; Laura Niemi; Sari R. R. Nijssen; Gustav Nilsonne; Jonas P. Nitschke; Laila Nockur; Ritah Okura; Sezin Öner; Asil Ali Özdoğru; Helena Palumbo; Costas Panagopoulos; Maria Serena Panasiti; Philip Pärnamets; Mariola Paruzel-Czachura; Yuri G. Pavlov; César Payán-Gómez; Adam R. Pearson; Leonor Pereira da Costa; Hannes M. Petrowsky; Stefan Pfattheicher; Nhat Tan Pham; Vladimir Ponizovskiy; Clara Pretus; Gabriel G. Rêgo; Ritsaart Reimann; Shawn A. Rhoads; Julian Riano-Moreno;doi: 10.1126/sciadv.adj5778 , 10.17615/j71a-aj22 , 10.48350/192662 , 10.26181/27048496.v1 , 10.26181/27048496
pmid: 38324680
pmc: PMC10849597
doi: 10.1126/sciadv.adj5778 , 10.17615/j71a-aj22 , 10.48350/192662 , 10.26181/27048496.v1 , 10.26181/27048496
pmid: 38324680
pmc: PMC10849597
Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions’ effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior—several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people’s initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors.
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/sciadv.adj5778&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu36 citations 36 popularity Average influence Top 10% impulse Top 1% 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=10.1126/sciadv.adj5778&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 NetherlandsPublisher:Elsevier BV Yue Dou; Cecilia Zagaria; Louise O'Connor; Wilfried Thuiller; Peter H. Verburg;Ambitious international targets are being developed to protect and restore biodiversity under the Convention on Biological Diversity's post-2020 Global Biodiversity Framework and the European Union's Green Deal. Yet, the land system consequences of meeting such targets are unclear, as multiple pathways may be able to deliver on the set targets. This paper introduces a novel scenario approach assessing the plural implementations of these targets. The Nature Futures Framework (NFF) developed by the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services aims to illustrate the different, positive ways in which society can value nature. It therefore offers a lens through which the spatial implementation of sustainability targets may be envisioned. We used CLUMondo, a spatially explicit model, to simulate plural land system scenarios for Europe for 2050. The model builds on current land system representations of Europe and explores how and where sustainability targets can be implemented under projected population trends and commodity demands. We created three different scenarios in which the sustainability targets are met, each representing an alternative, normative view on nature as represented by the NFF, favoring land systems providing strong climate regulation (Nature for Society), species conservation (Nature for Nature), or agricultural heritage features (Nature as Culture). Our results show that, irrespective of the NFF view, meeting sustainability targets will require European land systems to drastically change, as natural grasslands and forests are forecast to expand while productive areas are projected to undergo a dual intensification and diversification trajectory. Despite each NFF perspective showcasing a similar direction of change, 20% of Europe's land area will differ based on the adopted NFF perspective, with hotspots of disagreement identified in eastern and western Europe. These simulations go beyond existing scenario approaches by not only depicting broad societal developments for Europe, but also by quantifying the land system synergies and trade-offs associated with alternative, archetypal, interpretations and values of how nature may be managed for sustainability. This quantification exemplifies a means towards constructive dialogue, on the one hand by acknowledging areas of contention, and bringing such issues to the fore, and on the other by highlighting points of convergence in a vision for a sustainable Europe.
IIASA DARE arrow_drop_down Wageningen Staff PublicationsArticle . 2023License: 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=10.1016/j.gloenvcha.2023.102766&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert IIASA DARE arrow_drop_down Wageningen Staff PublicationsArticle . 2023License: 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=10.1016/j.gloenvcha.2023.102766&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018Publisher:Frontiers Media SA Funded by:ANR | UNITIANR| UNITILéa Frachon; Léa Frachon; Léa Frachon; Claudia Bartoli; Sébastien Carrère; Olivier Bouchez; Adeline Chaubet; Mathieu Gautier; Dominique Roby; Fabrice Roux;Understanding the genetic bases underlying climate adaptation is a key element to predict the potential of species to face climate warming. Although substantial climate variation is observed at a micro-geographic scale, most genomic maps of climate adaptation have been established at broader geographical scales. Here, by using a Pool-Seq approach combined with a Bayesian hierarchical model that control for confounding by population structure, we performed a genome-environment association (GEA) analysis to investigate the genetic basis of adaptation to six climate variables in 168 natural populations of Arabidopsis thaliana distributed in south-west of France. Climate variation among the 168 populations represented up to 24% of climate variation among 521 European locations where A. thaliana inhabits. We identified neat and strong peaks of association, with most of the associated SNPs being significantly enriched in likely functional variants and/or in the extreme tail of genetic differentiation among populations. Furthermore, genes involved in transcriptional mechanisms appear predominant in plant functions associated with local climate adaptation. Globally, our results suggest that climate adaptation is an important driver of genomic variation in A. thaliana at a small spatial scale and mainly involves genome-wide changes in fundamental mechanisms of gene regulation. The identification of climate-adaptive genetic loci at a micro-geographic scale also highlights the importance to include within-species genetic diversity in ecological niche models for projecting potential species distributional shifts over short geographic distances.
Frontiers in Plant S... arrow_drop_down Institut National de la Recherche Agronomique: ProdINRAArticle . 2018License: 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=10.3389/fpls.2018.00967&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 61 citations 61 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Frontiers in Plant S... arrow_drop_down Institut National de la Recherche Agronomique: ProdINRAArticle . 2018License: 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=10.3389/fpls.2018.00967&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:MDPI AG Authors: Mauro Luberti; Alexander Brown; Marco Balsamo; Mauro Capocelli;doi: 10.3390/en15031091
The increasing demand for energy and commodities has led to escalating greenhouse gas emissions, the chief of which is represented by carbon dioxide (CO2). Blue hydrogen (H2), a low-carbon hydrogen produced from natural gas with carbon capture technologies applied, has been suggested as a possible alternative to fossil fuels in processes with hard-to-abate emission sources, including refining, chemical, petrochemical and transport sectors. Due to the recent international directives aimed to combat climate change, even existing hydrogen plants should be retrofitted with carbon capture units. To optimize the process economics of such retrofit, it has been proposed to remove CO2 from the pressure swing adsorption (PSA) tail gas to exploit the relatively high CO2 concentration. This study aimed to design and numerically investigate a vacuum pressure swing adsorption (VPSA) process capable of capturing CO2 from the PSA tail gas of an industrial steam methane reforming (SMR)-based hydrogen plant using NaX zeolite adsorbent. The effect of operating conditions, such as purge-to-feed ratio and desorption pressure, were evaluated in relation to CO2 purity, CO2 recovery, bed productivity and specific energy consumption. We found that conventional cycle configurations, namely a 2-bed, 4-step Skarstrom cycle and a 2-bed, 6-step modified Skarstrom cycle with pressure equalization, were able to concentrate CO2 to a purity greater than 95% with a CO2 recovery of around 77% and 90%, respectively. Therefore, the latter configuration could serve as an efficient process to decarbonize existing hydrogen plants and produce blue H2.
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=10.3390/en15031091&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average 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=10.3390/en15031091&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV V. De Bellis; M. Piras; F. Bozza; E. Malfi; R. Novella; J. Gomez-Soriano; M. Olcina-Girona;Energy Conversion an... arrow_drop_down Energy Conversion and ManagementArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enconman.2024.118395&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Energy Conversion an... arrow_drop_down Energy Conversion and ManagementArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enconman.2024.118395&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023Publisher:MDPI AG Marco Balato; Carlo Petrarca; Annalisa Liccardo; Martina Botti; Luigi Verolino;doi: 10.3390/en16237882
Mismatching operating conditions affect the energetic performance of PhotoVoltaic (PV) systems because they decrease their efficiency and reliability. The two different approaches used to overcome this problem are Distributed Maximum Power Point Tracking (DMPPT) architecture and reconfigurable PV array architecture. These techniques can be considered not only as alternatives but can be combined to reach better performance. To this aim, the present paper presents a new algorithm, based on the joint action of the DMPPT and reconfiguration approaches, applied to a reconfigurable Series-Parallel-Series architecture, which is suitable for domestic PV application. The core of the algorithm is a deterministic cluster analysis based on the shape of the current vs. voltage characteristic of a single PV module combined with its DC/DC converter to perform the DMPPT function. Experimental results are provided to validate the effectiveness of the proposed algorithm and to demonstrate evidence of its major advantages: robustness, simplicity of implementation and time-saving.
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=10.3390/en16237882&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 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=10.3390/en16237882&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu