- EC| RECONECT
Skrydstrup, Julie; Skrydstrup, Julie
Harvested from ORCID Public Data FileSkrydstrup, Julie in OpenAIRE Löwe, Roland; Gregersen, Ida Bülow;Löwe, Roland
Harvested from ORCID Public Data FileLöwe, Roland in OpenAIRE Koetse, Mark; +3 AuthorsKoetse, Mark
Harvested from ORCID Public Data FileKoetse, Mark in OpenAIRE Skrydstrup, Julie; Skrydstrup, Julie
Harvested from ORCID Public Data FileSkrydstrup, Julie in OpenAIRE Löwe, Roland; Gregersen, Ida Bülow;Löwe, Roland
Harvested from ORCID Public Data FileLöwe, Roland in OpenAIRE Koetse, Mark; Aerts, Jeroen C.J.H.;Koetse, Mark
Harvested from ORCID Public Data FileKoetse, Mark in OpenAIRE
de Ruiter, Marleen; de Ruiter, Marleen
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesde Ruiter, Marleen in OpenAIRE Arnbjerg-Nielsen, Karsten; Arnbjerg-Nielsen, Karsten
Harvested from ORCID Public Data FileArnbjerg-Nielsen, Karsten in OpenAIRENature-based solutions may actively reduce hydro-meteorological risks in urban areas as a part of climate change adaptation. However, the main reason for the increasing uptake of this type of solution is their many benefits for the local inhabitants, including recreational value. Previous studies on recreational value focus on studies of existing nature sites that are often much larger than what is considered as new NBS for flood adaptation studies in urban areas. We thus prioritized studies with smaller areas and nature types suitable for urban flood adaptation and divided them into four common nature types for urban flood adaptation: sustainable urban drainage systems, city parks, nature areas and rivers. We identified 23 primary valuation studies, including both stated and revealed preference studies, and derived two value transfer functions based on meta-regression analysis on existing areas. We investigated trends between values and variables and found that for the purpose of planning of new NBS the size of NBS and population density were determining factors of recreational value. For existing NBS the maximum travelling distance may be included as well. We find that existing state-of-the-art studies overestimate the recreational with more than a factor of 4 for NBS sizes below 5 ha. Our results are valid in a European context for nature-based solutions below 250 ha and can be applied across different NBS types and sizes.
Access RoutesGreen hybrid 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.<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.jenvman.2022.115724&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| RECONECT Skrydstrup, Julie;
Skrydstrup, Julie
Harvested from ORCID Public Data FileSkrydstrup, Julie in OpenAIRE Löwe, Roland; Gregersen, Ida Bülow;Löwe, Roland
Harvested from ORCID Public Data FileLöwe, Roland in OpenAIRE Koetse, Mark; +3 AuthorsKoetse, Mark
Harvested from ORCID Public Data FileKoetse, Mark in OpenAIRE Skrydstrup, Julie; Skrydstrup, Julie
Harvested from ORCID Public Data FileSkrydstrup, Julie in OpenAIRE Löwe, Roland; Gregersen, Ida Bülow;Löwe, Roland
Harvested from ORCID Public Data FileLöwe, Roland in OpenAIRE Koetse, Mark; Aerts, Jeroen C.J.H.;Koetse, Mark
Harvested from ORCID Public Data FileKoetse, Mark in OpenAIRE de Ruiter, Marleen; de Ruiter, Marleen
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesde Ruiter, Marleen in OpenAIRE Arnbjerg-Nielsen, Karsten; Arnbjerg-Nielsen, Karsten
Harvested from ORCID Public Data FileArnbjerg-Nielsen, Karsten in OpenAIRENature-based solutions may actively reduce hydro-meteorological risks in urban areas as a part of climate change adaptation. However, the main reason for the increasing uptake of this type of solution is their many benefits for the local inhabitants, including recreational value. Previous studies on recreational value focus on studies of existing nature sites that are often much larger than what is considered as new NBS for flood adaptation studies in urban areas. We thus prioritized studies with smaller areas and nature types suitable for urban flood adaptation and divided them into four common nature types for urban flood adaptation: sustainable urban drainage systems, city parks, nature areas and rivers. We identified 23 primary valuation studies, including both stated and revealed preference studies, and derived two value transfer functions based on meta-regression analysis on existing areas. We investigated trends between values and variables and found that for the purpose of planning of new NBS the size of NBS and population density were determining factors of recreational value. For existing NBS the maximum travelling distance may be included as well. We find that existing state-of-the-art studies overestimate the recreational with more than a factor of 4 for NBS sizes below 5 ha. Our results are valid in a European context for nature-based solutions below 250 ha and can be applied across different NBS types and sizes.
Access RoutesGreen hybrid 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.<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.jenvman.2022.115724&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - AKA| Developing the plasma power exhaust scenario for fusion reactors ,EC| EUROfusion Subba, F.; Coster, D. P.; Xiang, L.; Militello, F.; Lunt, T.; Moulton, D.; Reimerdes, H.; Wensing, M.; Wischmeier, M.;
Wischmeier, M.
Harvested from ORCID Public Data FileWischmeier, M. in OpenAIRE Ambrosino, R.; Bonnin, X.; Siccinio; M.;Ambrosino, R.
Harvested from ORCID Public Data FileAmbrosino, R. in OpenAIRE Aho-Mantila, Leena; Aho-Mantila, Leena
Harvested from ORCID Public Data FileAho-Mantila, Leena in OpenAIREA double-null configuration is being considered for the EU-DEMO, due to its potential benefits for power exhaust arising from the use of two active divertors and magnetically disconnected low- and high-field sides. Using systematic parameter scans in fluid simulations, we have investigated the divertor power exhaust in the EU-DEMO in a connected double-null configuration, and compared the edge plasma properties to those obtained in a single-null configuration under detached conditions anticipated for reactor operation. Neglecting drift effects and kinetic behaviour of the neutrals, no clear benefits of the double-null configuration could yet be identified for the radiation pattern and power mitigation on open field lines. Future work should address the aforementioned physics as well as the effect of the additional X-point on core radiation.
Access RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% 
Powered by BIP!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.<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.nme.2020.100886&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - AKA| Developing the plasma power exhaust scenario for fusion reactors ,EC| EUROfusion Subba, F.; Coster, D. P.; Xiang, L.; Militello, F.; Lunt, T.; Moulton, D.; Reimerdes, H.; Wensing, M.; Wischmeier, M.;
Wischmeier, M.
Harvested from ORCID Public Data FileWischmeier, M. in OpenAIRE Ambrosino, R.; Bonnin, X.; Siccinio; M.;Ambrosino, R.
Harvested from ORCID Public Data FileAmbrosino, R. in OpenAIRE Aho-Mantila, Leena; Aho-Mantila, Leena
Harvested from ORCID Public Data FileAho-Mantila, Leena in OpenAIREA double-null configuration is being considered for the EU-DEMO, due to its potential benefits for power exhaust arising from the use of two active divertors and magnetically disconnected low- and high-field sides. Using systematic parameter scans in fluid simulations, we have investigated the divertor power exhaust in the EU-DEMO in a connected double-null configuration, and compared the edge plasma properties to those obtained in a single-null configuration under detached conditions anticipated for reactor operation. Neglecting drift effects and kinetic behaviour of the neutrals, no clear benefits of the double-null configuration could yet be identified for the radiation pattern and power mitigation on open field lines. Future work should address the aforementioned physics as well as the effect of the additional X-point on core radiation.
Access RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!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.<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.nme.2020.100886&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - SNSF| ICOS-CH: Integrated Carbon Observation System in Switzerland ,SNSF| Robust models for assessing the effectiveness of technologies and managements to reduce N2O emissions from grazed pastures (Models4Pastures) ,NSF| BII-Implementation: The causes and consequences of plant biodiversity across scales in a rapidly changing world ,SNSF| ICOS-CH Phase 3 ,EC| USMILE ,SNSF| ICOS-CH Phase 2 ,EC| TERRAFORM Ulisse Gomarasca; Mirco Migliavacca;
Ulisse Gomarasca
Harvested from ORCID Public Data FileUlisse Gomarasca in OpenAIRE Jens Kattge; Jens Kattge
Harvested from ORCID Public Data FileJens Kattge in OpenAIRE Jacob A. Nelson; +40 AuthorsJacob A. Nelson
Harvested from ORCID Public Data FileJacob A. Nelson in OpenAIRE Ulisse Gomarasca; Mirco Migliavacca;Ulisse Gomarasca
Harvested from ORCID Public Data FileUlisse Gomarasca in OpenAIRE Jens Kattge; Jens Kattge
Harvested from ORCID Public Data FileJens Kattge in OpenAIRE Jacob A. Nelson; Ülo Niinemets;Jacob A. Nelson
Harvested from ORCID Public Data FileJacob A. Nelson in OpenAIRE Christian Wirth; Alessandro Cescatti;Christian Wirth
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesChristian Wirth in OpenAIRE Michael Bahn; Michael Bahn
Harvested from ORCID Public Data FileMichael Bahn in OpenAIRE Richard Nair; Richard Nair
Harvested from ORCID Public Data FileRichard Nair in OpenAIRE Alicia T. R. Acosta; Alicia T. R. Acosta
Harvested from ORCID Public Data FileAlicia T. R. Acosta in OpenAIRE M. Altaf Arain; M. Altaf Arain
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesM. Altaf Arain in OpenAIRE Mirela Beloiu; Mirela Beloiu
Harvested from ORCID Public Data FileMirela Beloiu in OpenAIRE T. Andrew Black; T. Andrew Black
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesT. Andrew Black in OpenAIRE Hans Henrik Bruun; Hans Henrik Bruun
Harvested from ORCID Public Data FileHans Henrik Bruun in OpenAIRE Solveig Franziska Bucher; Solveig Franziska Bucher
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSolveig Franziska Bucher in OpenAIRE Nina Buchmann; Nina Buchmann
Harvested from ORCID Public Data FileNina Buchmann in OpenAIRE Chaeho Byun; Chaeho Byun
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesChaeho Byun in OpenAIRE Arnaud Carrara; Arnaud Carrara
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesArnaud Carrara in OpenAIRE Adriano Conte; Adriano Conte
Harvested from ORCID Public Data FileAdriano Conte in OpenAIRE Ana C. da Silva; Ana C. da Silva
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesAna C. da Silva in OpenAIRE Gregory Duveiller; Gregory Duveiller
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesGregory Duveiller in OpenAIRE Silvano Fares; Silvano Fares
Harvested from ORCID Public Data FileSilvano Fares in OpenAIRE Andreas Ibrom; Andreas Ibrom
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesAndreas Ibrom in OpenAIRE Alexander Knohl; Benjamin Komac;Alexander Knohl
Harvested from ORCID Public Data FileAlexander Knohl in OpenAIRE Jean-Marc Limousin; Jean-Marc Limousin
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJean-Marc Limousin in OpenAIRE Christopher H. Lusk; Christopher H. Lusk
Harvested from ORCID Public Data FileChristopher H. Lusk in OpenAIRE Miguel D. Mahecha; David Martini; Vanessa Minden;Miguel D. Mahecha
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMiguel D. Mahecha in OpenAIRE Leonardo Montagnani; Leonardo Montagnani
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLeonardo Montagnani in OpenAIRE Akira S. Mori; Akira S. Mori
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesAkira S. Mori in OpenAIRE Yusuke Onoda; Yusuke Onoda
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesYusuke Onoda in OpenAIRE Josep Peñuelas; Josep Peñuelas
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJosep Peñuelas in OpenAIRE Oscar Perez-Priego; Peter Poschlod; Thomas L. Powell;Oscar Perez-Priego
Harvested from ORCID Public Data FileOscar Perez-Priego in OpenAIRE Peter B. Reich; Peter B. Reich
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPeter B. Reich in OpenAIRE Ladislav Šigut; Ladislav Šigut
Harvested from ORCID Public Data FileLadislav Šigut in OpenAIRE Peter M. van Bodegom; Peter M. van Bodegom
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPeter M. van Bodegom in OpenAIRE Sophia Walther; Sophia Walther
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSophia Walther in OpenAIRE Georg Wohlfahrt; Georg Wohlfahrt
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesGeorg Wohlfahrt in OpenAIRE Ian J. Wright; Ian J. Wright
Harvested from ORCID Public Data FileIan J. Wright in OpenAIRE Markus Reichstein; Markus Reichstein
Harvested from ORCID Public Data FileMarkus Reichstein in OpenAIREAbstractFundamental axes of variation in plant traits result from trade-offs between costs and benefits of resource-use strategies at the leaf scale. However, it is unclear whether similar trade-offs propagate to the ecosystem level. Here, we test whether trait correlation patterns predicted by three well-known leaf- and plant-level coordination theories – the leaf economics spectrum, the global spectrum of plant form and function, and the least-cost hypothesis – are also observed between community mean traits and ecosystem processes. We combined ecosystem functional properties from FLUXNET sites, vegetation properties, and community mean plant traits into three corresponding principal component analyses. We find that the leaf economics spectrum (90 sites), the global spectrum of plant form and function (89 sites), and the least-cost hypothesis (82 sites) all propagate at the ecosystem level. However, we also find evidence of additional scale-emergent properties. Evaluating the coordination of ecosystem functional properties may aid the development of more realistic global dynamic vegetation models with critical empirical data, reducing the uncertainty of climate change projections.
21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!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.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-023-39572-5&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - SNSF| ICOS-CH: Integrated Carbon Observation System in Switzerland ,SNSF| Robust models for assessing the effectiveness of technologies and managements to reduce N2O emissions from grazed pastures (Models4Pastures) ,NSF| BII-Implementation: The causes and consequences of plant biodiversity across scales in a rapidly changing world ,SNSF| ICOS-CH Phase 3 ,EC| USMILE ,SNSF| ICOS-CH Phase 2 ,EC| TERRAFORM Ulisse Gomarasca; Mirco Migliavacca;
Ulisse Gomarasca
Harvested from ORCID Public Data FileUlisse Gomarasca in OpenAIRE Jens Kattge; Jens Kattge
Harvested from ORCID Public Data FileJens Kattge in OpenAIRE Jacob A. Nelson; +40 AuthorsJacob A. Nelson
Harvested from ORCID Public Data FileJacob A. Nelson in OpenAIRE Ulisse Gomarasca; Mirco Migliavacca;Ulisse Gomarasca
Harvested from ORCID Public Data FileUlisse Gomarasca in OpenAIRE Jens Kattge; Jens Kattge
Harvested from ORCID Public Data FileJens Kattge in OpenAIRE Jacob A. Nelson; Ülo Niinemets;Jacob A. Nelson
Harvested from ORCID Public Data FileJacob A. Nelson in OpenAIRE Christian Wirth; Alessandro Cescatti;Christian Wirth
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesChristian Wirth in OpenAIRE Michael Bahn; Michael Bahn
Harvested from ORCID Public Data FileMichael Bahn in OpenAIRE Richard Nair; Richard Nair
Harvested from ORCID Public Data FileRichard Nair in OpenAIRE Alicia T. R. Acosta; Alicia T. R. Acosta
Harvested from ORCID Public Data FileAlicia T. R. Acosta in OpenAIRE M. Altaf Arain; M. Altaf Arain
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesM. Altaf Arain in OpenAIRE Mirela Beloiu; Mirela Beloiu
Harvested from ORCID Public Data FileMirela Beloiu in OpenAIRE T. Andrew Black; T. Andrew Black
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesT. Andrew Black in OpenAIRE Hans Henrik Bruun; Hans Henrik Bruun
Harvested from ORCID Public Data FileHans Henrik Bruun in OpenAIRE Solveig Franziska Bucher; Solveig Franziska Bucher
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSolveig Franziska Bucher in OpenAIRE Nina Buchmann; Nina Buchmann
Harvested from ORCID Public Data FileNina Buchmann in OpenAIRE Chaeho Byun; Chaeho Byun
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesChaeho Byun in OpenAIRE Arnaud Carrara; Arnaud Carrara
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesArnaud Carrara in OpenAIRE Adriano Conte; Adriano Conte
Harvested from ORCID Public Data FileAdriano Conte in OpenAIRE Ana C. da Silva; Ana C. da Silva
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesAna C. da Silva in OpenAIRE Gregory Duveiller; Gregory Duveiller
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesGregory Duveiller in OpenAIRE Silvano Fares; Silvano Fares
Harvested from ORCID Public Data FileSilvano Fares in OpenAIRE Andreas Ibrom; Andreas Ibrom
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesAndreas Ibrom in OpenAIRE Alexander Knohl; Benjamin Komac;Alexander Knohl
Harvested from ORCID Public Data FileAlexander Knohl in OpenAIRE Jean-Marc Limousin; Jean-Marc Limousin
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJean-Marc Limousin in OpenAIRE Christopher H. Lusk; Christopher H. Lusk
Harvested from ORCID Public Data FileChristopher H. Lusk in OpenAIRE Miguel D. Mahecha; David Martini; Vanessa Minden;Miguel D. Mahecha
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMiguel D. Mahecha in OpenAIRE Leonardo Montagnani; Leonardo Montagnani
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLeonardo Montagnani in OpenAIRE Akira S. Mori; Akira S. Mori
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesAkira S. Mori in OpenAIRE Yusuke Onoda; Yusuke Onoda
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesYusuke Onoda in OpenAIRE Josep Peñuelas; Josep Peñuelas
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJosep Peñuelas in OpenAIRE Oscar Perez-Priego; Peter Poschlod; Thomas L. Powell;Oscar Perez-Priego
Harvested from ORCID Public Data FileOscar Perez-Priego in OpenAIRE Peter B. Reich; Peter B. Reich
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPeter B. Reich in OpenAIRE Ladislav Šigut; Ladislav Šigut
Harvested from ORCID Public Data FileLadislav Šigut in OpenAIRE Peter M. van Bodegom; Peter M. van Bodegom
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPeter M. van Bodegom in OpenAIRE Sophia Walther; Sophia Walther
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSophia Walther in OpenAIRE Georg Wohlfahrt; Georg Wohlfahrt
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesGeorg Wohlfahrt in OpenAIRE Ian J. Wright; Ian J. Wright
Harvested from ORCID Public Data FileIan J. Wright in OpenAIRE Markus Reichstein; Markus Reichstein
Harvested from ORCID Public Data FileMarkus Reichstein in OpenAIREAbstractFundamental axes of variation in plant traits result from trade-offs between costs and benefits of resource-use strategies at the leaf scale. However, it is unclear whether similar trade-offs propagate to the ecosystem level. Here, we test whether trait correlation patterns predicted by three well-known leaf- and plant-level coordination theories – the leaf economics spectrum, the global spectrum of plant form and function, and the least-cost hypothesis – are also observed between community mean traits and ecosystem processes. We combined ecosystem functional properties from FLUXNET sites, vegetation properties, and community mean plant traits into three corresponding principal component analyses. We find that the leaf economics spectrum (90 sites), the global spectrum of plant form and function (89 sites), and the least-cost hypothesis (82 sites) all propagate at the ecosystem level. However, we also find evidence of additional scale-emergent properties. Evaluating the coordination of ecosystem functional properties may aid the development of more realistic global dynamic vegetation models with critical empirical data, reducing the uncertainty of climate change projections.
21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!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.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-023-39572-5&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Roberto Chirone;
Roberto Chirone
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRoberto Chirone in OpenAIRE Andrea Paulillo; Antonio Coppola;Andrea Paulillo
Harvested from ORCID Public Data FileAndrea Paulillo in OpenAIRE Fabrizio Scala; Fabrizio Scala
Harvested from ORCID Public Data FileFabrizio Scala in OpenAIREThe production of synthetic methane using CO from flue gases and green hydrogen appears to be a promising way to combine the concepts of renewable energy, chemical storage, and utilization of CO. Recently, a new reactor configuration for catalytic methanation has been proposed, integrating sorption-enhanced methanation and chemical looping in interconnected fluidized bed systems. This configuration would ensure high methane yields while keeping good temperature control and low operating pressure. In this work, such novel system layout for the catalytic production of methane was combined with a calcium looping unit for CO capture from flue gases of a coal-fired power plant, and with a water electrolyzer sustained by renewable energy. The integrated layout offers a series of advantages deriving from the integration of different mass and energy flows of the different sections of the plant. The performance of this latter was assessed in terms of construction and production costs, as well as from an environmental point of view: a life cycle assessment was carried out to quantify the environmental impact of all process units. Results of the techno-economic analysis indicated that the production cost of methane is higher than that of natural gas (0.66 vs 0.17 EUR/Nm), but lower than that of biomethane (1 EUR/Nm). The largest impact on such costs comes from the PEM electrolyzer. The LCA analysis showed that the environmental performance is better in some categories and worse in others with respect to traditional scenarios. Again, the PEM electrolyzer appears to account for most of the environmental impacts of the process.
31 citations 31 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!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.<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.fuel.2022.125255&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Roberto Chirone;
Roberto Chirone
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRoberto Chirone in OpenAIRE Andrea Paulillo; Antonio Coppola;Andrea Paulillo
Harvested from ORCID Public Data FileAndrea Paulillo in OpenAIRE Fabrizio Scala; Fabrizio Scala
Harvested from ORCID Public Data FileFabrizio Scala in OpenAIREThe production of synthetic methane using CO from flue gases and green hydrogen appears to be a promising way to combine the concepts of renewable energy, chemical storage, and utilization of CO. Recently, a new reactor configuration for catalytic methanation has been proposed, integrating sorption-enhanced methanation and chemical looping in interconnected fluidized bed systems. This configuration would ensure high methane yields while keeping good temperature control and low operating pressure. In this work, such novel system layout for the catalytic production of methane was combined with a calcium looping unit for CO capture from flue gases of a coal-fired power plant, and with a water electrolyzer sustained by renewable energy. The integrated layout offers a series of advantages deriving from the integration of different mass and energy flows of the different sections of the plant. The performance of this latter was assessed in terms of construction and production costs, as well as from an environmental point of view: a life cycle assessment was carried out to quantify the environmental impact of all process units. Results of the techno-economic analysis indicated that the production cost of methane is higher than that of natural gas (0.66 vs 0.17 EUR/Nm), but lower than that of biomethane (1 EUR/Nm). The largest impact on such costs comes from the PEM electrolyzer. The LCA analysis showed that the environmental performance is better in some categories and worse in others with respect to traditional scenarios. Again, the PEM electrolyzer appears to account for most of the environmental impacts of the process.
31 citations 31 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!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.<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.fuel.2022.125255&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Marc van den Homberg; Aklilu Teklesadik; Dennis L.J. van den Berg; Gabriela Guimarães Nobre; +3 Authors
Marc van den Homberg
Harvested from ORCID Public Data FileMarc van den Homberg in OpenAIRE Marc van den Homberg; Aklilu Teklesadik; Dennis L.J. van den Berg; Gabriela Guimarães Nobre; Gabriela Guimarães Nobre; Joris J.L. Westerveld;Marc van den Homberg
Harvested from ORCID Public Data FileMarc van den Homberg in OpenAIRE Sjoerd Stuit; Sjoerd Stuit
Harvested from ORCID Public Data FileSjoerd Stuit in OpenAIREFood 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.
Access RoutesGreen hybrid 37 citations 37 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!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.<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.eu - Marc van den Homberg; Aklilu Teklesadik; Dennis L.J. van den Berg; Gabriela Guimarães Nobre; +3 Authors
Marc van den Homberg
Harvested from ORCID Public Data FileMarc van den Homberg in OpenAIRE Marc van den Homberg; Aklilu Teklesadik; Dennis L.J. van den Berg; Gabriela Guimarães Nobre; Gabriela Guimarães Nobre; Joris J.L. Westerveld;Marc van den Homberg
Harvested from ORCID Public Data FileMarc van den Homberg in OpenAIRE Sjoerd Stuit; Sjoerd Stuit
Harvested from ORCID Public Data FileSjoerd Stuit in OpenAIREFood 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.
Access RoutesGreen hybrid 37 citations 37 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!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.<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.eu - Rachel Warren;
Rachel Warren
Harvested from ORCID Public Data FileRachel Warren in OpenAIRE Katie Jenkins; Chris Hope; David E.H.J. Gernaat; +2 AuthorsKatie Jenkins
Harvested from ORCID Public Data FileKatie Jenkins in OpenAIRE Rachel Warren; Rachel Warren
Harvested from ORCID Public Data FileRachel Warren in OpenAIRE Katie Jenkins; Chris Hope; David E.H.J. Gernaat;Katie Jenkins
Harvested from ORCID Public Data FileKatie Jenkins in OpenAIRE D.P. van Vuuren; D.P. van Vuuren;D.P. van Vuuren
Harvested from ORCID Public Data FileD.P. van Vuuren in OpenAIREAbstractWe quantify global and regional aggregate damages from global warming of 1.5 to 4 °C above pre-industrial levels using a well-established integrated assessment model, PAGE09. We find mean global aggregate damages in 2100 of 0.29% of GDP if global warming is limited to about 1.5 °C (90% confidence interval 0.09–0.60%) and 0.40% for 2 °C (range 0.12–0.91%). These are, respectively, 92% and 89% lower than mean losses of 3.67% of GDP (range 0.64–10.77%) associated with global warming of 4 °C. The net present value of global aggregate damages for the 2008–2200 period is estimated at $48.7 trillion for ~ 1.5 °C global warming (range $13–108 trillion) and $60.7 trillion for 2 °C (range $15–140 trillion). These are, respectively, 92% and 90% lower than the mean NPV of $591.7 trillion of GDP for 4 °C warming (range $70–1920 trillion). This leads to a mean social cost of CO2 emitted in 2020 of ~ $150 for 4 °C warming as compared to $30 at ~ 1.5 °C warming. The benefits of limiting warming to 1.5 °C rather than 2 °C might be underestimated since PAGE09 is not recalibrated to reflect the recent understanding of the full range of risks at 1.5 °C warming.
Access RoutesGreen hybrid 24 citations 24 popularity Top 10% influence Average impulse Top 10% Powered by BIP!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.<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/s10584-021-03198-7&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Rachel Warren;
Rachel Warren
Harvested from ORCID Public Data FileRachel Warren in OpenAIRE Katie Jenkins; Chris Hope; David E.H.J. Gernaat; +2 AuthorsKatie Jenkins
Harvested from ORCID Public Data FileKatie Jenkins in OpenAIRE Rachel Warren; Rachel Warren
Harvested from ORCID Public Data FileRachel Warren in OpenAIRE Katie Jenkins; Chris Hope; David E.H.J. Gernaat;Katie Jenkins
Harvested from ORCID Public Data FileKatie Jenkins in OpenAIRE D.P. van Vuuren; D.P. van Vuuren;D.P. van Vuuren
Harvested from ORCID Public Data FileD.P. van Vuuren in OpenAIREAbstractWe quantify global and regional aggregate damages from global warming of 1.5 to 4 °C above pre-industrial levels using a well-established integrated assessment model, PAGE09. We find mean global aggregate damages in 2100 of 0.29% of GDP if global warming is limited to about 1.5 °C (90% confidence interval 0.09–0.60%) and 0.40% for 2 °C (range 0.12–0.91%). These are, respectively, 92% and 89% lower than mean losses of 3.67% of GDP (range 0.64–10.77%) associated with global warming of 4 °C. The net present value of global aggregate damages for the 2008–2200 period is estimated at $48.7 trillion for ~ 1.5 °C global warming (range $13–108 trillion) and $60.7 trillion for 2 °C (range $15–140 trillion). These are, respectively, 92% and 90% lower than the mean NPV of $591.7 trillion of GDP for 4 °C warming (range $70–1920 trillion). This leads to a mean social cost of CO2 emitted in 2020 of ~ $150 for 4 °C warming as compared to $30 at ~ 1.5 °C warming. The benefits of limiting warming to 1.5 °C rather than 2 °C might be underestimated since PAGE09 is not recalibrated to reflect the recent understanding of the full range of risks at 1.5 °C warming.
Access RoutesGreen hybrid 24 citations 24 popularity Top 10% influence Average impulse Top 10% Powered by BIP!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.<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/s10584-021-03198-7&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| SWITCH Marta Kozicka;
Marta Kozicka
Harvested from ORCID Public Data FileMarta Kozicka in OpenAIRE Petr Havlík; Petr Havlík
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPetr Havlík in OpenAIRE Hugo Valin; Hugo Valin
Harvested from ORCID Public Data FileHugo Valin in OpenAIRE Eva Wollenberg; +9 AuthorsEva Wollenberg
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesEva Wollenberg in OpenAIRE Marta Kozicka; Marta Kozicka
Harvested from ORCID Public Data FileMarta Kozicka in OpenAIRE Petr Havlík; Petr Havlík
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPetr Havlík in OpenAIRE Hugo Valin; Hugo Valin
Harvested from ORCID Public Data FileHugo Valin in OpenAIRE Eva Wollenberg; Eva Wollenberg
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesEva Wollenberg in OpenAIRE Andre Deppermann; Andre Deppermann
Harvested from ORCID Public Data FileAndre Deppermann in OpenAIRE David Leclère; Pekka Lauri; Rebekah Moses;David Leclère
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDavid Leclère in OpenAIRE Esther Boere; Esther Boere
Harvested from ORCID Public Data FileEsther Boere in OpenAIRE Stefan Frank; Chris Davis; Esther Park; Noel Gurwick;Stefan Frank
Harvested from ORCID Public Data FileStefan Frank in OpenAIREAbstractPlant-based animal product alternatives are increasingly promoted to achieve more sustainable diets. Here, we use a global economic land use model to assess the food system-wide impacts of a global dietary shift towards these alternatives. We find a substantial reduction in the global environmental impacts by 2050 if globally 50% of the main animal products (pork, chicken, beef and milk) are substituted—net reduction of forest and natural land is almost fully halted and agriculture and land use GHG emissions decline by 31% in 2050 compared to 2020. If spared agricultural land within forest ecosystems is restored to forest, climate benefits could double, reaching 92% of the previously estimated land sector mitigation potential. Furthermore, the restored area could contribute to 13-25% of the estimated global land restoration needs under target 2 from the Kunming Montreal Global Biodiversity Framework by 2030, and future declines in ecosystem integrity by 2050 would be more than halved. The distribution of these impacts varies across regions—the main impacts on agricultural input use are in China and on environmental outcomes in Sub-Saharan Africa and South America. While beef replacement provides the largest impacts, substituting multiple products is synergistic.
Access RoutesGreen gold 63 citations 63 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!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.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-023-40899-2&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| SWITCH Marta Kozicka;
Marta Kozicka
Harvested from ORCID Public Data FileMarta Kozicka in OpenAIRE Petr Havlík; Petr Havlík
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPetr Havlík in OpenAIRE Hugo Valin; Hugo Valin
Harvested from ORCID Public Data FileHugo Valin in OpenAIRE Eva Wollenberg; +9 AuthorsEva Wollenberg
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesEva Wollenberg in OpenAIRE Marta Kozicka; Marta Kozicka
Harvested from ORCID Public Data FileMarta Kozicka in OpenAIRE Petr Havlík; Petr Havlík
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPetr Havlík in OpenAIRE Hugo Valin; Hugo Valin
Harvested from ORCID Public Data FileHugo Valin in OpenAIRE Eva Wollenberg; Eva Wollenberg
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesEva Wollenberg in OpenAIRE Andre Deppermann; Andre Deppermann
Harvested from ORCID Public Data FileAndre Deppermann in OpenAIRE David Leclère; Pekka Lauri; Rebekah Moses;David Leclère
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDavid Leclère in OpenAIRE Esther Boere; Esther Boere
Harvested from ORCID Public Data FileEsther Boere in OpenAIRE Stefan Frank; Chris Davis; Esther Park; Noel Gurwick;Stefan Frank
Harvested from ORCID Public Data FileStefan Frank in OpenAIREAbstractPlant-based animal product alternatives are increasingly promoted to achieve more sustainable diets. Here, we use a global economic land use model to assess the food system-wide impacts of a global dietary shift towards these alternatives. We find a substantial reduction in the global environmental impacts by 2050 if globally 50% of the main animal products (pork, chicken, beef and milk) are substituted—net reduction of forest and natural land is almost fully halted and agriculture and land use GHG emissions decline by 31% in 2050 compared to 2020. If spared agricultural land within forest ecosystems is restored to forest, climate benefits could double, reaching 92% of the previously estimated land sector mitigation potential. Furthermore, the restored area could contribute to 13-25% of the estimated global land restoration needs under target 2 from the Kunming Montreal Global Biodiversity Framework by 2030, and future declines in ecosystem integrity by 2050 would be more than halved. The distribution of these impacts varies across regions—the main impacts on agricultural input use are in China and on environmental outcomes in Sub-Saharan Africa and South America. While beef replacement provides the largest impacts, substituting multiple products is synergistic.
Access RoutesGreen gold 63 citations 63 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!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.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-023-40899-2&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Saeid Ashraf Vaghefi; Saeid Ashraf Vaghefi; Kees van Ginkel;
Kees van Ginkel
Harvested from ORCID Public Data FileKees van Ginkel in OpenAIRE Veruska Muccione; +1 AuthorsVeruska Muccione
Harvested from ORCID Public Data FileVeruska Muccione in OpenAIRESaeid Ashraf Vaghefi; Saeid Ashraf Vaghefi; Kees van Ginkel; Kees van Ginkel
Harvested from ORCID Public Data FileKees van Ginkel in OpenAIRE Veruska Muccione; Veruska Muccione
Harvested from ORCID Public Data FileVeruska Muccione in OpenAIRE Marjolijn Haasnoot; Marjolijn Haasnoot
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMarjolijn Haasnoot in OpenAIREClimate change threatens winter tourism in the Alps severely, and ski resorts are struggling to cope under uncertain climate change. We aim to identify under what conditions physical and economic tipping points for ski resorts may occur under changing climate in six Swiss ski resorts representing low, medium, and high elevation in the Alps. We use exploratory modeling (EMA) to assess climate change impacts on ski resorts under a range of futures adaptation options: (1) snowmaking and (2) diversifying the ski resorts' activities throughout the year. High-resolution climate projections (CH2018) were used to represent climate uncertainty. To improve the coverage of the uncertainty space and account for the climate models' intra-annual variability, we produced new climate realizations using resampling techniques. We demonstrate the importance of five factors, namely climate scenarios (RCPs), intra-annual climate variability, snow processes model, and two adaptation options, in ski resorts survival under a wide range of future scenarios. In six ski resorts, strong but highly variable decreases in the future number of days with good snow conditions for skiing (GSD) are projected. However, despite the different characteristics of the resorts, responses are similar and a shrunk of up to 31, 50, and 62 days in skiing season (Dec-April) is projected for the near-future (2020–2050), mid-future (2050–2080), and far-future (2070–2100), respectively. Similarly, in all cases, the number of days with good conditions for snowmaking (GDSM) will reduce up to 30, 50, and 74 days in the skiing season in the near-, mid-, and far-future horizons, respectively. We indicate that all ski resorts will face a reduction of up to 13%, 33%, and 51% of their reference period (1981–2010) revenue from winter skiing activities in the near-, mid-, and far-future horizons. Based on the outcomes of the EMA, we identify Dynamic Adaptive Policy Pathways (DAPP) and determine the adaptation options that ski resorts could implement to avoid tipping points in the future. We highlight the advantages of adaptive planning in a first of its kind application of DMDU techniques to winter tourism. We specify the possible adaptation options ranging from “low revenue diversification and moderate snowmaking” to “high revenue diversification and large snowmaking” and demonstrate when an adaptation action fails and a change to a new plan is needed. By the end of the century, we show that only ski resorts with ski lines above 1800–2000 m elevation will survive regardless of the climate scenarios. Our approach to decision-making is highly flexible and can easily be extended to other ski resorts and account for additional adaptation options.
Access RoutesGreen hybrid 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!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.<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.envsci.2021.09.005&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Saeid Ashraf Vaghefi; Saeid Ashraf Vaghefi; Kees van Ginkel;
Kees van Ginkel
Harvested from ORCID Public Data FileKees van Ginkel in OpenAIRE Veruska Muccione; +1 AuthorsVeruska Muccione
Harvested from ORCID Public Data FileVeruska Muccione in OpenAIRESaeid Ashraf Vaghefi; Saeid Ashraf Vaghefi; Kees van Ginkel; Kees van Ginkel
Harvested from ORCID Public Data FileKees van Ginkel in OpenAIRE Veruska Muccione; Veruska Muccione
Harvested from ORCID Public Data FileVeruska Muccione in OpenAIRE Marjolijn Haasnoot; Marjolijn Haasnoot
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMarjolijn Haasnoot in OpenAIREClimate change threatens winter tourism in the Alps severely, and ski resorts are struggling to cope under uncertain climate change. We aim to identify under what conditions physical and economic tipping points for ski resorts may occur under changing climate in six Swiss ski resorts representing low, medium, and high elevation in the Alps. We use exploratory modeling (EMA) to assess climate change impacts on ski resorts under a range of futures adaptation options: (1) snowmaking and (2) diversifying the ski resorts' activities throughout the year. High-resolution climate projections (CH2018) were used to represent climate uncertainty. To improve the coverage of the uncertainty space and account for the climate models' intra-annual variability, we produced new climate realizations using resampling techniques. We demonstrate the importance of five factors, namely climate scenarios (RCPs), intra-annual climate variability, snow processes model, and two adaptation options, in ski resorts survival under a wide range of future scenarios. In six ski resorts, strong but highly variable decreases in the future number of days with good snow conditions for skiing (GSD) are projected. However, despite the different characteristics of the resorts, responses are similar and a shrunk of up to 31, 50, and 62 days in skiing season (Dec-April) is projected for the near-future (2020–2050), mid-future (2050–2080), and far-future (2070–2100), respectively. Similarly, in all cases, the number of days with good conditions for snowmaking (GDSM) will reduce up to 30, 50, and 74 days in the skiing season in the near-, mid-, and far-future horizons, respectively. We indicate that all ski resorts will face a reduction of up to 13%, 33%, and 51% of their reference period (1981–2010) revenue from winter skiing activities in the near-, mid-, and far-future horizons. Based on the outcomes of the EMA, we identify Dynamic Adaptive Policy Pathways (DAPP) and determine the adaptation options that ski resorts could implement to avoid tipping points in the future. We highlight the advantages of adaptive planning in a first of its kind application of DMDU techniques to winter tourism. We specify the possible adaptation options ranging from “low revenue diversification and moderate snowmaking” to “high revenue diversification and large snowmaking” and demonstrate when an adaptation action fails and a change to a new plan is needed. By the end of the century, we show that only ski resorts with ski lines above 1800–2000 m elevation will survive regardless of the climate scenarios. Our approach to decision-making is highly flexible and can easily be extended to other ski resorts and account for additional adaptation options.
Access RoutesGreen hybrid 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!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.<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.envsci.2021.09.005&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
Green hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nyas.15088&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
Green hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nyas.15088&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Leon Bremer;
Leon Bremer
Harvested from ORCID Public Data FileLeon Bremer in OpenAIRE Konstantin Sommer; Konstantin Sommer
Harvested from ORCID Public Data FileKonstantin Sommer in OpenAIREWe study the effects of the EU Emissions Trading System on the economic performance and investments of Dutch manufacturing firms. Motivated both by sizable differences between firms that became regulated in different phases and by a gradual increase in regulatory stringency, we pay close attention to the staggered design of the ETS as well as to potential treatment effect heterogeneity. We base our estimation on recent advances in the estimation of treatment effects and make use of administrative microdata. Our results align with those of the previous literature. Even when studying the more stringent third phase and when using estimators appropriate for the staggered ETS setting, there seems to be no discernible effects of the ETS on firms’ economic performance. We also do not find any statistically significant effect on the investment behavior of regulated firms.
Access Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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.4731564&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Leon Bremer;
Leon Bremer
Harvested from ORCID Public Data FileLeon Bremer in OpenAIRE Konstantin Sommer; Konstantin Sommer
Harvested from ORCID Public Data FileKonstantin Sommer in OpenAIREWe study the effects of the EU Emissions Trading System on the economic performance and investments of Dutch manufacturing firms. Motivated both by sizable differences between firms that became regulated in different phases and by a gradual increase in regulatory stringency, we pay close attention to the staggered design of the ETS as well as to potential treatment effect heterogeneity. We base our estimation on recent advances in the estimation of treatment effects and make use of administrative microdata. Our results align with those of the previous literature. Even when studying the more stringent third phase and when using estimators appropriate for the staggered ETS setting, there seems to be no discernible effects of the ETS on firms’ economic performance. We also do not find any statistically significant effect on the investment behavior of regulated firms.
Access Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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.4731564&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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