- RCN| Centre for Arctic Gas Hydrate, Environment and Climate (CAGE)
Mervyn Greaves; Mervyn Greaves
Harvested from ORCID Public Data FileMervyn Greaves in OpenAIRE Sönke Szidat; Sönke Szidat;Sönke Szidat
Harvested from ORCID Public Data FileSönke Szidat in OpenAIRE James W. B. Rae; +7 AuthorsJames W. B. Rae
Harvested from ORCID Public Data FileJames W. B. Rae in OpenAIRE Mervyn Greaves; Mervyn Greaves
Harvested from ORCID Public Data FileMervyn Greaves in OpenAIRE Sönke Szidat; Sönke Szidat;Sönke Szidat
Harvested from ORCID Public Data FileSönke Szidat in OpenAIRE James W. B. Rae; Katarzyna Zamelczyk;James W. B. Rae
Harvested from ORCID Public Data FileJames W. B. Rae in OpenAIRE Mathis P. Hain; Tine Lander Rasmussen;Mathis P. Hain
Harvested from ORCID Public Data FileMathis P. Hain in OpenAIRE Thomas M Marchitto; Thomas M Marchitto;Thomas M Marchitto
Harvested from ORCID Public Data FileThomas M Marchitto in OpenAIRE Mohamed Ezat; Luke C Skinner;Mohamed Ezat
Harvested from ORCID Public Data FileMohamed Ezat in OpenAIREAbstractThe Fram Strait is the only deep gateway between the Arctic Ocean and the Nordic Seas and thus is a key area to study past changes in ocean circulation and the marine carbon cycle. Here, we study deep ocean temperature, δ18O, carbonate chemistry (i.e., carbonate ion concentration [CO32−]), and nutrient content in the Fram Strait during the late glacial (35,000–19,000 years BP) and the Holocene based on benthic foraminiferal geochemistry and carbon cycle modeling. Our results indicate a thickening of Atlantic water penetrating into the northern Nordic Seas, forming a subsurface Atlantic intermediate water layer reaching to at least ∼2,600 m water depth during most of the late glacial period. The recirculating Atlantic layer was characterized by relatively high [CO32−] and low δ13C during the late glacial, and provides evidence for a Nordic Seas source to the glacial North Atlantic intermediate water flowing at 2,000–3,000 m water depth, most likely via the Denmark Strait. In addition, we discuss evidence for enhanced terrestrial carbon input to the Nordic Seas at ∼23.5 ka. Comparing our δ13C and qualitative [CO32−] records with results of carbon cycle box modeling suggests that the total terrestrial CO2 release during this carbon input event was low, slow, or directly to the atmosphere.
4 citations 4 popularity Top 10% 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=10.1029/2021pa004216&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - RCN| Centre for Arctic Gas Hydrate, Environment and Climate (CAGE) Mervyn Greaves;
Mervyn Greaves
Harvested from ORCID Public Data FileMervyn Greaves in OpenAIRE Sönke Szidat; Sönke Szidat;Sönke Szidat
Harvested from ORCID Public Data FileSönke Szidat in OpenAIRE James W. B. Rae; +7 AuthorsJames W. B. Rae
Harvested from ORCID Public Data FileJames W. B. Rae in OpenAIRE Mervyn Greaves; Mervyn Greaves
Harvested from ORCID Public Data FileMervyn Greaves in OpenAIRE Sönke Szidat; Sönke Szidat;Sönke Szidat
Harvested from ORCID Public Data FileSönke Szidat in OpenAIRE James W. B. Rae; Katarzyna Zamelczyk;James W. B. Rae
Harvested from ORCID Public Data FileJames W. B. Rae in OpenAIRE Mathis P. Hain; Tine Lander Rasmussen;Mathis P. Hain
Harvested from ORCID Public Data FileMathis P. Hain in OpenAIRE Thomas M Marchitto; Thomas M Marchitto;Thomas M Marchitto
Harvested from ORCID Public Data FileThomas M Marchitto in OpenAIRE Mohamed Ezat; Luke C Skinner;Mohamed Ezat
Harvested from ORCID Public Data FileMohamed Ezat in OpenAIREAbstractThe Fram Strait is the only deep gateway between the Arctic Ocean and the Nordic Seas and thus is a key area to study past changes in ocean circulation and the marine carbon cycle. Here, we study deep ocean temperature, δ18O, carbonate chemistry (i.e., carbonate ion concentration [CO32−]), and nutrient content in the Fram Strait during the late glacial (35,000–19,000 years BP) and the Holocene based on benthic foraminiferal geochemistry and carbon cycle modeling. Our results indicate a thickening of Atlantic water penetrating into the northern Nordic Seas, forming a subsurface Atlantic intermediate water layer reaching to at least ∼2,600 m water depth during most of the late glacial period. The recirculating Atlantic layer was characterized by relatively high [CO32−] and low δ13C during the late glacial, and provides evidence for a Nordic Seas source to the glacial North Atlantic intermediate water flowing at 2,000–3,000 m water depth, most likely via the Denmark Strait. In addition, we discuss evidence for enhanced terrestrial carbon input to the Nordic Seas at ∼23.5 ka. Comparing our δ13C and qualitative [CO32−] records with results of carbon cycle box modeling suggests that the total terrestrial CO2 release during this carbon input event was low, slow, or directly to the atmosphere.
4 citations 4 popularity Top 10% 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=10.1029/2021pa004216&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Huifang Li; Djavan De Clercq; Yuan Tao; Zongguo Wen; +1 Authors
Huifang Li
Harvested from ORCID Public Data FileHuifang Li in OpenAIRE Huifang Li; Djavan De Clercq; Yuan Tao; Zongguo Wen;Huifang Li
Harvested from ORCID Public Data FileHuifang Li in OpenAIRE Yihan Wang; Yihan Wang
Harvested from ORCID Public Data FileYihan Wang in OpenAIREA precise energy conservation and emission reduction (ECER) path in industrial sector contains two aspects: applying effective ECER measures and focusing on processes with significant ECER potential. However, most studies have investigated the ECER effects of an individual measure or only evaluated industrial-level ECER potential. Therefore, the objective of this study is to find a precise ECER path in China's iron and steel industry through quantitative analysis methods. First, this article adopts scenario analysis to simulate situations where different ECER measures are adopted and designs calculation methods to quantitatively evaluate the ECER effects in each scenario in 2020 and 2025. Second, through analysis of the application of ECER measures to certain processes, we calculate the ECER potential of different individual processes in the iron and steel industry. In addition, the conservation supply curve method and the quadrant method are used to measure the level of advanced technology application. The results show that: (1) for four types of ECER measures, the limitation of production output measure is most effective, contributing to 6.98% and 12.50% decreases in total industrial energy consumption and pollutant emissions in 2020 and 2025; moreover, the contribution of the adjustment of scale structure measure is comparatively low. (2) The sintering and ironmaking processes have strong ECER potential in 2020, while the steel making process also has high ECER potential in 2025. (3) 21 technologies are divided into 4 quadrants based on energy, popularity, and economic performance. In addition, we provide some suggestions for future ECER policies. In sum, this article provides an in-depth example of determining a precise ECER path in an important industry.
66 citations 66 popularity Top 1% 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.jenvman.2019.06.024&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Huifang Li; Djavan De Clercq; Yuan Tao; Zongguo Wen; +1 Authors
Huifang Li
Harvested from ORCID Public Data FileHuifang Li in OpenAIRE Huifang Li; Djavan De Clercq; Yuan Tao; Zongguo Wen;Huifang Li
Harvested from ORCID Public Data FileHuifang Li in OpenAIRE Yihan Wang; Yihan Wang
Harvested from ORCID Public Data FileYihan Wang in OpenAIREA precise energy conservation and emission reduction (ECER) path in industrial sector contains two aspects: applying effective ECER measures and focusing on processes with significant ECER potential. However, most studies have investigated the ECER effects of an individual measure or only evaluated industrial-level ECER potential. Therefore, the objective of this study is to find a precise ECER path in China's iron and steel industry through quantitative analysis methods. First, this article adopts scenario analysis to simulate situations where different ECER measures are adopted and designs calculation methods to quantitatively evaluate the ECER effects in each scenario in 2020 and 2025. Second, through analysis of the application of ECER measures to certain processes, we calculate the ECER potential of different individual processes in the iron and steel industry. In addition, the conservation supply curve method and the quadrant method are used to measure the level of advanced technology application. The results show that: (1) for four types of ECER measures, the limitation of production output measure is most effective, contributing to 6.98% and 12.50% decreases in total industrial energy consumption and pollutant emissions in 2020 and 2025; moreover, the contribution of the adjustment of scale structure measure is comparatively low. (2) The sintering and ironmaking processes have strong ECER potential in 2020, while the steel making process also has high ECER potential in 2025. (3) 21 technologies are divided into 4 quadrants based on energy, popularity, and economic performance. In addition, we provide some suggestions for future ECER policies. In sum, this article provides an in-depth example of determining a precise ECER path in an important industry.
66 citations 66 popularity Top 1% 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.jenvman.2019.06.024&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Elfadaly Abdelaziz;
Elfadaly Abdelaziz
Harvested from ORCID Public Data FileElfadaly Abdelaziz in OpenAIRE Abutaleb Khaled; Abutaleb Khaled
Harvested from ORCID Public Data FileAbutaleb Khaled in OpenAIRE Naguib Doaa M; Naguib Doaa M
Harvested from ORCID Public Data FileNaguib Doaa M in OpenAIRE Mostafa Wael; +4 AuthorsMostafa Wael
Harvested from ORCID Public Data FileMostafa Wael in OpenAIRE Elfadaly Abdelaziz; Elfadaly Abdelaziz
Harvested from ORCID Public Data FileElfadaly Abdelaziz in OpenAIRE Abutaleb Khaled; Abutaleb Khaled
Harvested from ORCID Public Data FileAbutaleb Khaled in OpenAIRE Naguib Doaa M; Naguib Doaa M
Harvested from ORCID Public Data FileNaguib Doaa M in OpenAIRE Mostafa Wael; Mostafa Wael
Harvested from ORCID Public Data FileMostafa Wael in OpenAIRE Abouarab Mohamed A R; Ashmawy Aiman; Wilson Penelope;Abouarab Mohamed A R
Harvested from ORCID Public Data FileAbouarab Mohamed A R in OpenAIRE
Lasaponara Rosa; Lasaponara Rosa
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLasaponara Rosa in OpenAIREAbstractClimate change effects along with anthropogenic activities present the main factors that threaten the existence of heritage sites across the north Nile Delta of Egypt close to the coastline of the Mediterranean Sea. Observing the changes in the landscape close to the archaeological sites is an important issue for decision‐makers in terms of reducing the negative impact of natural events and human activities. The coastal heritage sites are becoming strongly threatened by the rising sea level phenomena that will happen due to global warming. Focusing on the distribution of the archaeological sites, this study aims to detect the areas at risk of shoreline erosion or accretion in the northern shoreline of the Nile Delta. In this study, the changes in the northern shoreline of the Nile Delta were observed and calculated during the last hundred years based on the integration between the old topographic maps from surveys in 1900, 1925 and 1945, optical satellite images captured by Landsat in 1972, 1986 and 2000; Sentinel2 2021; and the Radar SRTM data. The results of this study showed that the changes were enormous with a great shoreline erosion process over the last 121 years recorded along the shoreline in the periods between 1900–1925, 1925–1945, 1945–1972, 1972–1986, 1986–2000 and 2000–2021. The areas eroded were about 5.3, 4.7, 5.6, 8.9, 2.5 and 5.4 km2, respectively. Such negative movements caused the loss of two heritage sites, and the expected changes will lead to the loss of additional heritage sites in the next 500 years. Furthermore, a model was suggested for protecting the coastal heritage sites threatened by the risk of submergence. This study can help the decision‐makers to detect the coastal archaeological sites at risk and create innovative solutions for protecting these irreplaceable heritage sites.
5 citations 5 popularity Average 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=10.1002/arp.1898&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Elfadaly Abdelaziz;
Elfadaly Abdelaziz
Harvested from ORCID Public Data FileElfadaly Abdelaziz in OpenAIRE Abutaleb Khaled; Abutaleb Khaled
Harvested from ORCID Public Data FileAbutaleb Khaled in OpenAIRE Naguib Doaa M; Naguib Doaa M
Harvested from ORCID Public Data FileNaguib Doaa M in OpenAIRE Mostafa Wael; +4 AuthorsMostafa Wael
Harvested from ORCID Public Data FileMostafa Wael in OpenAIRE Elfadaly Abdelaziz; Elfadaly Abdelaziz
Harvested from ORCID Public Data FileElfadaly Abdelaziz in OpenAIRE Abutaleb Khaled; Abutaleb Khaled
Harvested from ORCID Public Data FileAbutaleb Khaled in OpenAIRE Naguib Doaa M; Naguib Doaa M
Harvested from ORCID Public Data FileNaguib Doaa M in OpenAIRE Mostafa Wael; Mostafa Wael
Harvested from ORCID Public Data FileMostafa Wael in OpenAIRE Abouarab Mohamed A R; Ashmawy Aiman; Wilson Penelope;Abouarab Mohamed A R
Harvested from ORCID Public Data FileAbouarab Mohamed A R in OpenAIRE Lasaponara Rosa; Lasaponara Rosa
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLasaponara Rosa in OpenAIREAbstractClimate change effects along with anthropogenic activities present the main factors that threaten the existence of heritage sites across the north Nile Delta of Egypt close to the coastline of the Mediterranean Sea. Observing the changes in the landscape close to the archaeological sites is an important issue for decision‐makers in terms of reducing the negative impact of natural events and human activities. The coastal heritage sites are becoming strongly threatened by the rising sea level phenomena that will happen due to global warming. Focusing on the distribution of the archaeological sites, this study aims to detect the areas at risk of shoreline erosion or accretion in the northern shoreline of the Nile Delta. In this study, the changes in the northern shoreline of the Nile Delta were observed and calculated during the last hundred years based on the integration between the old topographic maps from surveys in 1900, 1925 and 1945, optical satellite images captured by Landsat in 1972, 1986 and 2000; Sentinel2 2021; and the Radar SRTM data. The results of this study showed that the changes were enormous with a great shoreline erosion process over the last 121 years recorded along the shoreline in the periods between 1900–1925, 1925–1945, 1945–1972, 1972–1986, 1986–2000 and 2000–2021. The areas eroded were about 5.3, 4.7, 5.6, 8.9, 2.5 and 5.4 km2, respectively. Such negative movements caused the loss of two heritage sites, and the expected changes will lead to the loss of additional heritage sites in the next 500 years. Furthermore, a model was suggested for protecting the coastal heritage sites threatened by the risk of submergence. This study can help the decision‐makers to detect the coastal archaeological sites at risk and create innovative solutions for protecting these irreplaceable heritage sites.
5 citations 5 popularity Average 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=10.1002/arp.1898&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - UKRI| Urban Flood Resilience in an Uncertain Future ,UKRI| Urban Flood and Water Resilience in an Uncertain Future ,UKRI| Achieving Urban Flood Resilience in an Uncertain Future ,UKRI| Urban Flood and Water Resilience in an Uncertain Future Leon Kapetas; Shaun Maskrey; Shaun Maskrey;
Leon Kapetas
Harvested from ORCID Public Data FileLeon Kapetas in OpenAIRE Vladimir Krivtsov; +6 AuthorsVladimir Krivtsov
Harvested from ORCID Public Data FileVladimir Krivtsov in OpenAIRE Leon Kapetas; Shaun Maskrey; Shaun Maskrey;Leon Kapetas
Harvested from ORCID Public Data FileLeon Kapetas in OpenAIRE Vladimir Krivtsov; Tudorel Vilcan;Vladimir Krivtsov
Harvested from ORCID Public Data FileVladimir Krivtsov in OpenAIRE Emily O’Donnell; Emily O’Donnell
Harvested from ORCID Public Data FileEmily O’Donnell in OpenAIRE S Ahilan; Colin R. Thorne; Irene Pluchinotta; Irene Pluchinotta
Harvested from ORCID Public Data FileIrene Pluchinotta in OpenAIRE Alessandro Pagano; Alessandro Pagano
Harvested from ORCID Public Data FileAlessandro Pagano in OpenAIREAbstract Growing urban populations, changes in rainfall patterns and ageing infrastructure represent significant challenges for urban water management (UWM). There is a critical need for research into how cities should adapt to become resilient to these impacts under uncertain futures. UWM challenges in the Ebbsfleet Garden City (UK) were investigated via a participatory process and potential sustainable solutions were explored using a System Dynamics Model (SDM). Collaborative development of the SDM by the Ebbsfleet Learning and Action Alliance developed stakeholders’ understanding of future UWM options and enabled a structured exploration of interdependencies within the current UWM system. Discussion by stakeholders resulted in a focus on potable water use and the development of the SDM to investigate how residential potable water consumption in the Ebbsfleet Garden City might be reduced through a range of interventions, e.g., socio-environmental and economic policy incentives. The SDM approach supports decision-making at a strategic, system-wide level, and facilitates exploration of the long-term consequences of alternative strategies, particularly those that are difficult to include in quantitative models. While an SDM can be developed by experts alone, building it collaboratively allows the process to benefit from local knowledge, resulting in a collective learning process and increased potential for adoption.
Access RoutesGreen bronze 64 citations 64 popularity Top 1% 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.scs.2021.102709&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - UKRI| Urban Flood Resilience in an Uncertain Future ,UKRI| Urban Flood and Water Resilience in an Uncertain Future ,UKRI| Achieving Urban Flood Resilience in an Uncertain Future ,UKRI| Urban Flood and Water Resilience in an Uncertain Future Leon Kapetas; Shaun Maskrey; Shaun Maskrey;
Leon Kapetas
Harvested from ORCID Public Data FileLeon Kapetas in OpenAIRE Vladimir Krivtsov; +6 AuthorsVladimir Krivtsov
Harvested from ORCID Public Data FileVladimir Krivtsov in OpenAIRE Leon Kapetas; Shaun Maskrey; Shaun Maskrey;Leon Kapetas
Harvested from ORCID Public Data FileLeon Kapetas in OpenAIRE Vladimir Krivtsov; Tudorel Vilcan;Vladimir Krivtsov
Harvested from ORCID Public Data FileVladimir Krivtsov in OpenAIRE Emily O’Donnell; Emily O’Donnell
Harvested from ORCID Public Data FileEmily O’Donnell in OpenAIRE S Ahilan; Colin R. Thorne; Irene Pluchinotta; Irene Pluchinotta
Harvested from ORCID Public Data FileIrene Pluchinotta in OpenAIRE Alessandro Pagano; Alessandro Pagano
Harvested from ORCID Public Data FileAlessandro Pagano in OpenAIREAbstract Growing urban populations, changes in rainfall patterns and ageing infrastructure represent significant challenges for urban water management (UWM). There is a critical need for research into how cities should adapt to become resilient to these impacts under uncertain futures. UWM challenges in the Ebbsfleet Garden City (UK) were investigated via a participatory process and potential sustainable solutions were explored using a System Dynamics Model (SDM). Collaborative development of the SDM by the Ebbsfleet Learning and Action Alliance developed stakeholders’ understanding of future UWM options and enabled a structured exploration of interdependencies within the current UWM system. Discussion by stakeholders resulted in a focus on potable water use and the development of the SDM to investigate how residential potable water consumption in the Ebbsfleet Garden City might be reduced through a range of interventions, e.g., socio-environmental and economic policy incentives. The SDM approach supports decision-making at a strategic, system-wide level, and facilitates exploration of the long-term consequences of alternative strategies, particularly those that are difficult to include in quantitative models. While an SDM can be developed by experts alone, building it collaboratively allows the process to benefit from local knowledge, resulting in a collective learning process and increased potential for adoption.
Access RoutesGreen bronze 64 citations 64 popularity Top 1% 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.scs.2021.102709&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| FRAGCLIMArturo Gálvez-Cerón; Arturo Gálvez-Cerón; Juan Antonio Calleja;
Juan Antonio Calleja
Harvested from ORCID Public Data FileJuan Antonio Calleja in OpenAIRE Josep Peñuelas; +6 AuthorsJosep Peñuelas
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJosep Peñuelas in OpenAIREArturo Gálvez-Cerón; Arturo Gálvez-Cerón; Juan Antonio Calleja; Juan Antonio Calleja
Harvested from ORCID Public Data FileJuan Antonio Calleja in OpenAIRE Josep Peñuelas; Josep Peñuelas
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJosep Peñuelas in OpenAIRE Bernat Claramunt-López; Bernat Claramunt-López
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBernat Claramunt-López in OpenAIRE Ulf Büntgen; Ulf Büntgen
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesUlf Büntgen in OpenAIRE Johan Espunyes; Johan Espunyes
Harvested from ORCID Public Data FileJohan Espunyes in OpenAIRE Miguel Lurgi; Miguel Lurgi
Harvested from ORCID Public Data FileMiguel Lurgi in OpenAIRE Emmanuel Serrano; Emmanuel Serrano
Harvested from ORCID Public Data FileEmmanuel Serrano in OpenAIRE Jordi Bartolomé; Jordi Bartolomé
Harvested from ORCID Public Data FileJordi Bartolomé in OpenAIREAbstractChanges in land‐use and climate affect the distribution and diversity of plant and animal species at different spatiotemporal scales. The extent to which species‐specific phenotypic plasticity and biotic interactions mediate organismal adaptation to changing environments, however, remains poorly understood. Woody plant expansion is threatening the extent of alpine grasslands worldwide, and evaluating and predicting its effects on herbivores is of crucial importance. Here, we explore the impact of shrubification on the feeding efficiency of Pyrenean chamois (Rupicapra p. pyrenaica), as well as on the three most abundant coexisting domestic ungulate species: cattle, sheep and horses. We use observational diet composition from May to October and model different scenarios of vegetation availability where shrubland and woodland proliferate at the expense of grassland. We then predicted if the four ungulate species could efficiently utilize their food landscapes with their current dietary specificities measuring their niche breath in each scenario. We observed that the wild counterpart, due to a higher trophic plasticity, is less disturbed by shrubification compared to livestock, which rely primarily on herbaceous plants and will be affected 3.6 times more. Our results suggest that mixed feeders, such as chamois, could benefit from fallow landscapes, and that mountain farmers are at a growing economic risk worldwide due to changing land‐use practices and climate conditions.
Access RoutesGreen bronze 33 citations 33 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=10.1111/gcb.14587&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| FRAGCLIMArturo Gálvez-Cerón; Arturo Gálvez-Cerón; Juan Antonio Calleja;
Juan Antonio Calleja
Harvested from ORCID Public Data FileJuan Antonio Calleja in OpenAIRE Josep Peñuelas; +6 AuthorsJosep Peñuelas
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJosep Peñuelas in OpenAIREArturo Gálvez-Cerón; Arturo Gálvez-Cerón; Juan Antonio Calleja; Juan Antonio Calleja
Harvested from ORCID Public Data FileJuan Antonio Calleja in OpenAIRE Josep Peñuelas; Josep Peñuelas
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJosep Peñuelas in OpenAIRE Bernat Claramunt-López; Bernat Claramunt-López
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBernat Claramunt-López in OpenAIRE Ulf Büntgen; Ulf Büntgen
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesUlf Büntgen in OpenAIRE Johan Espunyes; Johan Espunyes
Harvested from ORCID Public Data FileJohan Espunyes in OpenAIRE Miguel Lurgi; Miguel Lurgi
Harvested from ORCID Public Data FileMiguel Lurgi in OpenAIRE Emmanuel Serrano; Emmanuel Serrano
Harvested from ORCID Public Data FileEmmanuel Serrano in OpenAIRE Jordi Bartolomé; Jordi Bartolomé
Harvested from ORCID Public Data FileJordi Bartolomé in OpenAIREAbstractChanges in land‐use and climate affect the distribution and diversity of plant and animal species at different spatiotemporal scales. The extent to which species‐specific phenotypic plasticity and biotic interactions mediate organismal adaptation to changing environments, however, remains poorly understood. Woody plant expansion is threatening the extent of alpine grasslands worldwide, and evaluating and predicting its effects on herbivores is of crucial importance. Here, we explore the impact of shrubification on the feeding efficiency of Pyrenean chamois (Rupicapra p. pyrenaica), as well as on the three most abundant coexisting domestic ungulate species: cattle, sheep and horses. We use observational diet composition from May to October and model different scenarios of vegetation availability where shrubland and woodland proliferate at the expense of grassland. We then predicted if the four ungulate species could efficiently utilize their food landscapes with their current dietary specificities measuring their niche breath in each scenario. We observed that the wild counterpart, due to a higher trophic plasticity, is less disturbed by shrubification compared to livestock, which rely primarily on herbaceous plants and will be affected 3.6 times more. Our results suggest that mixed feeders, such as chamois, could benefit from fallow landscapes, and that mountain farmers are at a growing economic risk worldwide due to changing land‐use practices and climate conditions.
Access RoutesGreen bronze 33 citations 33 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=10.1111/gcb.14587&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| THCB2011 ,ARC| Future Fellowships - Grant ID: FT110100188Susan J. Cunningham; Amanda R. Ridley; Amanda R. Ridley; Claire N. Spottiswoode; +2 Authors
Amanda R. Ridley
Harvested from ORCID Public Data FileAmanda R. Ridley in OpenAIRESusan J. Cunningham; Amanda R. Ridley; Amanda R. Ridley; Claire N. Spottiswoode; Claire N. Spottiswoode; Amanda R. Bourne;Amanda R. Ridley
Harvested from ORCID Public Data FileAmanda R. Ridley in OpenAIREVariation in weather patterns can influence reproductive effort and success not only within but also between breeding seasons. Where environmental conditions can be highly variable between years, the weather, and particularly extreme weather events such as heat waves and droughts, may exert a strong influence on reproductive effort (number of breeding attempts) and success (number of surviving young) from one breeding season to the next. We used a 15-year dataset for a cooperatively-breeding bird, the southern pied babbler Turdoides bicolor, to determine the impact of high temperatures and drought on reproductive effort and success. We tested the influence on reproductive effort and success of mean daily maximum air temperature and drought both within a breeding season, to determine the relative importance of current conditions, and during the previous breeding season, to determine the relative importance of compensatory effects in response to prior conditions. Reproductive effort and success were lower during breeding seasons characterised by drought, and higher in the breeding seasons that followed droughts, but were not predicted by mean daily maximum temperatures measured over the full length of the breeding season. We provide evidence of compensatory breeding following drought in a bird species endemic to a semi-arid ecosystem and suggest that compensatory mechanisms may be an important part of both long-term population persistence and post-drought population recovery.
Access RoutesGreen gold 27 citations 27 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=10.3389/fevo.2020.00190&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| THCB2011 ,ARC| Future Fellowships - Grant ID: FT110100188Susan J. Cunningham; Amanda R. Ridley; Amanda R. Ridley; Claire N. Spottiswoode; +2 Authors
Amanda R. Ridley
Harvested from ORCID Public Data FileAmanda R. Ridley in OpenAIRESusan J. Cunningham; Amanda R. Ridley; Amanda R. Ridley; Claire N. Spottiswoode; Claire N. Spottiswoode; Amanda R. Bourne;Amanda R. Ridley
Harvested from ORCID Public Data FileAmanda R. Ridley in OpenAIREVariation in weather patterns can influence reproductive effort and success not only within but also between breeding seasons. Where environmental conditions can be highly variable between years, the weather, and particularly extreme weather events such as heat waves and droughts, may exert a strong influence on reproductive effort (number of breeding attempts) and success (number of surviving young) from one breeding season to the next. We used a 15-year dataset for a cooperatively-breeding bird, the southern pied babbler Turdoides bicolor, to determine the impact of high temperatures and drought on reproductive effort and success. We tested the influence on reproductive effort and success of mean daily maximum air temperature and drought both within a breeding season, to determine the relative importance of current conditions, and during the previous breeding season, to determine the relative importance of compensatory effects in response to prior conditions. Reproductive effort and success were lower during breeding seasons characterised by drought, and higher in the breeding seasons that followed droughts, but were not predicted by mean daily maximum temperatures measured over the full length of the breeding season. We provide evidence of compensatory breeding following drought in a bird species endemic to a semi-arid ecosystem and suggest that compensatory mechanisms may be an important part of both long-term population persistence and post-drought population recovery.
Access RoutesGreen gold 27 citations 27 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=10.3389/fevo.2020.00190&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Unnada Chewpreecha; Florian Knobloch; Florian Knobloch;
Florian Knobloch
Harvested from ORCID Public Data FileFlorian Knobloch in OpenAIRE Jean-Francois Mercure; +4 AuthorsJean-Francois Mercure
Harvested from ORCID Public Data FileJean-Francois Mercure in OpenAIREUnnada Chewpreecha; Florian Knobloch; Florian Knobloch;Florian Knobloch
Harvested from ORCID Public Data FileFlorian Knobloch in OpenAIRE Jean-Francois Mercure; Jean-Francois Mercure; Hector Pollitt;Jean-Francois Mercure
Harvested from ORCID Public Data FileJean-Francois Mercure in OpenAIRE Vassilis Daioglou; Vassilis Daioglou;Vassilis Daioglou
Harvested from ORCID Public Data FileVassilis Daioglou in OpenAIREWhole-economy scenarios for limiting global warming to 1.5C suggest that direct carbon emissions in the buildings sector should decrease to almost zero by 2050, but leave unanswered the question how this could be achieved by real-world policies. We take a modelling-based approach for simulating which policy measures could induce an almost-complete decarbonisation of residential heating, the by far largest source of direct emissions in residential buildings. Under which assumptions is it possible, and how long would it take? Policy effectiveness highly depends on behavioural decision- making by households, especially in a context of deep decarbonisation and rapid transformation. We therefore use the non-equilibrium bottom-up model FTT:Heat to simulate policies for a transition towards low-carbon heating in a context of inertia and bounded rationality, focusing on the uptake of heating technologies. Results indicate that the near-zero decarbonisation is achievable by 2050, but requires substantial policy efforts. Policy mixes are projected to be more effective and robust for driving the market of efficient low-carbon technologies, compared to the reliance on a carbon tax as the only policy instrument. In combination with subsidies for renewables, near-complete decarbonisation could be achieved with a residential carbon tax of 50-200Euro/tCO2. The policy-induced technology transition would increase average heating costs faced by households initially, but could also lead to cost reductions in most world regions in the medium term. Model projections illustrate the uncertainty that is attached to household behaviour for prematurely replacing heating systems.
Access RoutesGreen hybrid 82 citations 82 popularity Top 1% 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=10.1007/s12053-018-9710-0&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Unnada Chewpreecha; Florian Knobloch; Florian Knobloch;
Florian Knobloch
Harvested from ORCID Public Data FileFlorian Knobloch in OpenAIRE Jean-Francois Mercure; +4 AuthorsJean-Francois Mercure
Harvested from ORCID Public Data FileJean-Francois Mercure in OpenAIREUnnada Chewpreecha; Florian Knobloch; Florian Knobloch;Florian Knobloch
Harvested from ORCID Public Data FileFlorian Knobloch in OpenAIRE Jean-Francois Mercure; Jean-Francois Mercure; Hector Pollitt;Jean-Francois Mercure
Harvested from ORCID Public Data FileJean-Francois Mercure in OpenAIRE Vassilis Daioglou; Vassilis Daioglou;Vassilis Daioglou
Harvested from ORCID Public Data FileVassilis Daioglou in OpenAIREWhole-economy scenarios for limiting global warming to 1.5C suggest that direct carbon emissions in the buildings sector should decrease to almost zero by 2050, but leave unanswered the question how this could be achieved by real-world policies. We take a modelling-based approach for simulating which policy measures could induce an almost-complete decarbonisation of residential heating, the by far largest source of direct emissions in residential buildings. Under which assumptions is it possible, and how long would it take? Policy effectiveness highly depends on behavioural decision- making by households, especially in a context of deep decarbonisation and rapid transformation. We therefore use the non-equilibrium bottom-up model FTT:Heat to simulate policies for a transition towards low-carbon heating in a context of inertia and bounded rationality, focusing on the uptake of heating technologies. Results indicate that the near-zero decarbonisation is achievable by 2050, but requires substantial policy efforts. Policy mixes are projected to be more effective and robust for driving the market of efficient low-carbon technologies, compared to the reliance on a carbon tax as the only policy instrument. In combination with subsidies for renewables, near-complete decarbonisation could be achieved with a residential carbon tax of 50-200Euro/tCO2. The policy-induced technology transition would increase average heating costs faced by households initially, but could also lead to cost reductions in most world regions in the medium term. Model projections illustrate the uncertainty that is attached to household behaviour for prematurely replacing heating systems.
Access RoutesGreen hybrid 82 citations 82 popularity Top 1% 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=10.1007/s12053-018-9710-0&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
Green 7 citations 7 popularity Top 10% 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=10.17863/cam.7842&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
Green 7 citations 7 popularity Top 10% 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=10.17863/cam.7842&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Carla Cannone;
Carla Cannone
Harvested from ORCID Public Data FileCarla Cannone in OpenAIRE Lucy Allington; Lucy Allington
Harvested from ORCID Public Data FileLucy Allington in OpenAIRE Ioannis Pappis; Ioannis Pappis
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesIoannis Pappis in OpenAIRE Karla Cervantes Barron; +21 AuthorsKarla Cervantes Barron
Harvested from ORCID Public Data FileKarla Cervantes Barron in OpenAIRE Carla Cannone; Carla Cannone
Harvested from ORCID Public Data FileCarla Cannone in OpenAIRE Lucy Allington; Lucy Allington
Harvested from ORCID Public Data FileLucy Allington in OpenAIRE Ioannis Pappis; Ioannis Pappis
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesIoannis Pappis in OpenAIRE Karla Cervantes Barron; Karla Cervantes Barron
Harvested from ORCID Public Data FileKarla Cervantes Barron in OpenAIRE Will Usher; Will Usher
Harvested from ORCID Public Data FileWill Usher in OpenAIRE Steve Pye; Steve Pye
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSteve Pye in OpenAIRE Edward Brown; Edward Brown
Harvested from ORCID Public Data FileEdward Brown in OpenAIRE Mark Howells; Mark Howells
Harvested from ORCID Public Data FileMark Howells in OpenAIRE Miriam Zachau Walker; Miriam Zachau Walker
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMiriam Zachau Walker in OpenAIRE Aniq Ahsan; Aniq Ahsan
Harvested from ORCID Public Data FileAniq Ahsan in OpenAIRE Flora Charbonnier; Flora Charbonnier
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesFlora Charbonnier in OpenAIRE Claire Halloran; Claire Halloran
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesClaire Halloran in OpenAIRE Stephanie Hirmer; Stephanie Hirmer
Harvested from ORCID Public Data FileStephanie Hirmer in OpenAIRE Constantinos Taliotis; Caroline Sundin;Constantinos Taliotis
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesConstantinos Taliotis in OpenAIRE Vignesh Sridha; Vignesh Sridha
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVignesh Sridha in OpenAIRE Eunice Ramos; Eunice Ramos
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesEunice Ramos in OpenAIRE Maarten Brinkerink; Maarten Brinkerink
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMaarten Brinkerink in OpenAIRE Paul Deane; Andrii Gritsevskyi; Gustavo Moura; Arnaud Rouget; David Wogan; Edito Barcelona;Paul Deane
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPaul Deane in OpenAIRE Holger Rogner; Holger Rogner
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHolger Rogner in OpenAIREAbstract Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Algeria, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Access Routeshybrid 1 citations 1 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=10.21203/rs.3.rs-478421/v2&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Carla Cannone;
Carla Cannone
Harvested from ORCID Public Data FileCarla Cannone in OpenAIRE Lucy Allington; Lucy Allington
Harvested from ORCID Public Data FileLucy Allington in OpenAIRE Ioannis Pappis; Ioannis Pappis
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesIoannis Pappis in OpenAIRE Karla Cervantes Barron; +21 AuthorsKarla Cervantes Barron
Harvested from ORCID Public Data FileKarla Cervantes Barron in OpenAIRE Carla Cannone; Carla Cannone
Harvested from ORCID Public Data FileCarla Cannone in OpenAIRE Lucy Allington; Lucy Allington
Harvested from ORCID Public Data FileLucy Allington in OpenAIRE Ioannis Pappis; Ioannis Pappis
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesIoannis Pappis in OpenAIRE Karla Cervantes Barron; Karla Cervantes Barron
Harvested from ORCID Public Data FileKarla Cervantes Barron in OpenAIRE Will Usher; Will Usher
Harvested from ORCID Public Data FileWill Usher in OpenAIRE Steve Pye; Steve Pye
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSteve Pye in OpenAIRE Edward Brown; Edward Brown
Harvested from ORCID Public Data FileEdward Brown in OpenAIRE Mark Howells; Mark Howells
Harvested from ORCID Public Data FileMark Howells in OpenAIRE Miriam Zachau Walker; Miriam Zachau Walker
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMiriam Zachau Walker in OpenAIRE Aniq Ahsan; Aniq Ahsan
Harvested from ORCID Public Data FileAniq Ahsan in OpenAIRE Flora Charbonnier; Flora Charbonnier
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesFlora Charbonnier in OpenAIRE Claire Halloran; Claire Halloran
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesClaire Halloran in OpenAIRE Stephanie Hirmer; Stephanie Hirmer
Harvested from ORCID Public Data FileStephanie Hirmer in OpenAIRE Constantinos Taliotis; Caroline Sundin;Constantinos Taliotis
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesConstantinos Taliotis in OpenAIRE Vignesh Sridha; Vignesh Sridha
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVignesh Sridha in OpenAIRE Eunice Ramos; Eunice Ramos
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesEunice Ramos in OpenAIRE Maarten Brinkerink; Maarten Brinkerink
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMaarten Brinkerink in OpenAIRE Paul Deane; Andrii Gritsevskyi; Gustavo Moura; Arnaud Rouget; David Wogan; Edito Barcelona;Paul Deane
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPaul Deane in OpenAIRE Holger Rogner; Holger Rogner
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHolger Rogner in OpenAIREAbstract Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Algeria, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Access Routeshybrid 1 citations 1 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=10.21203/rs.3.rs-478421/v2&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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