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description Publicationkeyboard_double_arrow_right Article 2018 SpainWiley SSHRC, EC | BIGSEASSHRC ,EC| BIGSEAAuthors: David A. Carozza; Daniele Bianchi; Eric D. Galbraith;David A. Carozza; Daniele Bianchi; Eric D. Galbraith;doi: 10.1111/geb.12832
AbstractAimClimate change will reshape marine ecosystems over the 21st century through diverse and complex mechanisms that are difficult to assess quantitatively. Here, we characterize expectations for how marine community biomass will respond to the energetic consequences of changes in primary production and temperature‐dependent metabolic rates, under a range of fishing/conservation scenarios.LocationGlobal ocean.Time period1950–2100.Major taxa studiedCommercially harvested marine ectotherms (‘fish’).MethodsWe use a size‐structured macroecological model of the marine ecosystem, coupled with a catch model that allows for calibration with global historical data and simulation of fishing. We examine the four energetic mechanisms that, within the model framework, determine the community response to climate change: net primary production, phytoplankton cell size, and the temperature dependencies of growth and natural mortality.ResultsClimate change decreases the modelled global fish community biomass by as much as 30% by 2100. This results from a diminished energy supply to upper trophic levels as photosynthesis becomes more nutrient limited and phytoplankton cells shrink, and from a temperature‐driven increase of natural mortality that, together, overwhelm the effect of accelerated somatic growth rates. Ocean circulation changes drive regional variations of primary production, producing patterns of winners and losers that largely compensate each other when averaged globally, whereas decreasing phytoplankton size drives weaker but more uniformly negative changes. The climate impacts are similar across the range of conservation scenarios but are slightly amplified in the strong conservation scenarios owing to the greater role of natural mortality.Main conclusionsThe spatial pattern of climate impacts is mostly determined by changes in primary production. The overall decline of community biomass is attributed to a temperature‐driven increase of natural mortality, alongside an overall decrease in phytoplankton size, despite faster somatic growth. Our results highlight the importance of the competition between accelerated growth and mortality in a warming ocean.
Global Ecology and B... arrow_drop_down Dipòsit Digital de Documents de la UABArticle . 2019Data sources: Dipòsit Digital de Documents de la UABGlobal Ecology and BiogeographyOther literature type . Article . 2019 . 2018License: Wiley Online Library User Agreementadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/geb.12832&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu55 citations 55 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!more_vert Global Ecology and B... arrow_drop_down Dipòsit Digital de Documents de la UABArticle . 2019Data sources: Dipòsit Digital de Documents de la UABGlobal Ecology and BiogeographyOther literature type . Article . 2019 . 2018License: Wiley Online Library User Agreementadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/geb.12832&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Zenodo SSHRC, EC | BIGSEASSHRC ,EC| BIGSEAAuthors: Carozza, David A.; Bianchi, Daniele; Galbraith, Eric D.;Carozza, David A.; Bianchi, Daniele; Galbraith, Eric D.;doi: 10.5281/zenodo.53934
Here we provide the MATLAB functions, fisheries data, model forcing data (net primary production and temperature), and model output required to generate the figures and perform calculations from Carozza et al. (2017) [Carozza DA, Bianchi D, Galbraith ED (2017) Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model. PLoS ONE 12(1): e0169763. doi:10.1371/journal.pone.0169763]. The plot script (plot_figures_PLoSONE_repository.m) is written in MATLAB version R2012a.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.53934&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 143visibility views 143 download downloads 197 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.53934&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu- Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model
description Publicationkeyboard_double_arrow_right Article 2017 United States, SpainPublic Library of Science (PLoS) SSHRC, EC | BIGSEASSHRC ,EC| BIGSEAAuthors: David A. Carozza; Daniele Bianchi; Eric D. Galbraith;David A. Carozza; Daniele Bianchi; Eric D. Galbraith;Unidad de excelencia María de Maeztu MdM-2015-0552 Human exploitation of marine resources is profoundly altering marine ecosystems, while climate change is expected to further impact commercially-harvested fish and other species. Although the global fishery is a highly complex system with many unpredictable aspects, the bioenergetic limits on fish production and the response of fishing effort to profit are both relatively tractable, and are sure to play important roles. Here we describe a generalized, coupled biological-economic model of the global marine fishery that represents both of these aspects in a unified framework, the BiOeconomic mArine Trophic Size-spectrum (BOATS) model. BOATS predicts fish production according to size spectra as a function of net primary production and temperature, and dynamically determines harvest spectra from the biomass density and interactive, prognostic fishing effort. Within this framework, the equilibrium fish biomass is determined by the economic forcings of catchability, ex-vessel price and cost per unit effort, while the peak harvest depends on the ecosystem parameters. Comparison of a large ensemble of idealized simulations with observational databases, focusing on historical biomass and peak harvests, allows us to narrow the range of several uncertain ecosystem parameters, rule out most parameter combinations, and select an optimal ensemble of model variants. Compared to the prior distributions, model variants with lower values of the mortality rate, trophic efficiency, and allometric constant agree better with observations. For most acceptable parameter combinations, natural mortality rates are more strongly affected by temperature than growth rates, suggesting different sensitivities of these processes to climate change. These results highlight the utility of adopting large-scale, aggregated data constraints to reduce model parameter uncertainties and to better predict the response of fisheries to human behaviour and climate change.
Europe PubMed Centra... arrow_drop_down eScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaRecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2017License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0169763&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down eScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaRecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2017License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0169763&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu description Publicationkeyboard_double_arrow_right Article 2019 SpainSpringer Science and Business Media LLC SSHRC, EC | BIGSEASSHRC ,EC| BIGSEAAuthors: Christopher Barrington-Leigh; Eric D. Galbraith;Christopher Barrington-Leigh; Eric D. Galbraith;Subjective well-being surveys show large and consistent variation among countries, much of which can be predicted from a small number of social and economic proxy variables. But the degree to which these life evaluations might feasibly change over coming decades, at the global scale, has not previously been estimated. Here, we use observed historical trends in the proxy variables to constrain feasible future projections of self-reported life evaluations to the year 2050. We find that projected effects of macroeconomic variables tend to lead to modest improvements of global average life evaluations. In contrast, scenarios based on non-material variables project future global average life evaluations covering a much wider range, lying anywhere from the top 15% to the bottom 25% of present-day countries. These results highlight the critical role of non-material factors such as social supports, freedoms, and fairness in determining the future of human well-being. Traditional studies of subjective well-being explain national differences using social and economic proxy variables. Here the authors build on this approach to estimate how global human well-being might evolve over the next three decades, and find that changes in social factors could play a much larger role than changes in economic outcomes.
Nature Communication... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2019License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-018-08002-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu18 citations 18 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Nature Communication... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2019License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-018-08002-2&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article 2018 SpainWiley SSHRC, EC | BIGSEASSHRC ,EC| BIGSEAAuthors: David A. Carozza; Daniele Bianchi; Eric D. Galbraith;David A. Carozza; Daniele Bianchi; Eric D. Galbraith;doi: 10.1111/geb.12832
AbstractAimClimate change will reshape marine ecosystems over the 21st century through diverse and complex mechanisms that are difficult to assess quantitatively. Here, we characterize expectations for how marine community biomass will respond to the energetic consequences of changes in primary production and temperature‐dependent metabolic rates, under a range of fishing/conservation scenarios.LocationGlobal ocean.Time period1950–2100.Major taxa studiedCommercially harvested marine ectotherms (‘fish’).MethodsWe use a size‐structured macroecological model of the marine ecosystem, coupled with a catch model that allows for calibration with global historical data and simulation of fishing. We examine the four energetic mechanisms that, within the model framework, determine the community response to climate change: net primary production, phytoplankton cell size, and the temperature dependencies of growth and natural mortality.ResultsClimate change decreases the modelled global fish community biomass by as much as 30% by 2100. This results from a diminished energy supply to upper trophic levels as photosynthesis becomes more nutrient limited and phytoplankton cells shrink, and from a temperature‐driven increase of natural mortality that, together, overwhelm the effect of accelerated somatic growth rates. Ocean circulation changes drive regional variations of primary production, producing patterns of winners and losers that largely compensate each other when averaged globally, whereas decreasing phytoplankton size drives weaker but more uniformly negative changes. The climate impacts are similar across the range of conservation scenarios but are slightly amplified in the strong conservation scenarios owing to the greater role of natural mortality.Main conclusionsThe spatial pattern of climate impacts is mostly determined by changes in primary production. The overall decline of community biomass is attributed to a temperature‐driven increase of natural mortality, alongside an overall decrease in phytoplankton size, despite faster somatic growth. Our results highlight the importance of the competition between accelerated growth and mortality in a warming ocean.
Global Ecology and B... arrow_drop_down Dipòsit Digital de Documents de la UABArticle . 2019Data sources: Dipòsit Digital de Documents de la UABGlobal Ecology and BiogeographyOther literature type . Article . 2019 . 2018License: Wiley Online Library User Agreementadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/geb.12832&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu55 citations 55 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!more_vert Global Ecology and B... arrow_drop_down Dipòsit Digital de Documents de la UABArticle . 2019Data sources: Dipòsit Digital de Documents de la UABGlobal Ecology and BiogeographyOther literature type . Article . 2019 . 2018License: Wiley Online Library User Agreementadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/geb.12832&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Zenodo SSHRC, EC | BIGSEASSHRC ,EC| BIGSEAAuthors: Carozza, David A.; Bianchi, Daniele; Galbraith, Eric D.;Carozza, David A.; Bianchi, Daniele; Galbraith, Eric D.;doi: 10.5281/zenodo.53934
Here we provide the MATLAB functions, fisheries data, model forcing data (net primary production and temperature), and model output required to generate the figures and perform calculations from Carozza et al. (2017) [Carozza DA, Bianchi D, Galbraith ED (2017) Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model. PLoS ONE 12(1): e0169763. doi:10.1371/journal.pone.0169763]. The plot script (plot_figures_PLoSONE_repository.m) is written in MATLAB version R2012a.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.53934&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 143visibility views 143 download downloads 197 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.53934&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu- Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model
description Publicationkeyboard_double_arrow_right Article 2017 United States, SpainPublic Library of Science (PLoS) SSHRC, EC | BIGSEASSHRC ,EC| BIGSEAAuthors: David A. Carozza; Daniele Bianchi; Eric D. Galbraith;David A. Carozza; Daniele Bianchi; Eric D. Galbraith;Unidad de excelencia María de Maeztu MdM-2015-0552 Human exploitation of marine resources is profoundly altering marine ecosystems, while climate change is expected to further impact commercially-harvested fish and other species. Although the global fishery is a highly complex system with many unpredictable aspects, the bioenergetic limits on fish production and the response of fishing effort to profit are both relatively tractable, and are sure to play important roles. Here we describe a generalized, coupled biological-economic model of the global marine fishery that represents both of these aspects in a unified framework, the BiOeconomic mArine Trophic Size-spectrum (BOATS) model. BOATS predicts fish production according to size spectra as a function of net primary production and temperature, and dynamically determines harvest spectra from the biomass density and interactive, prognostic fishing effort. Within this framework, the equilibrium fish biomass is determined by the economic forcings of catchability, ex-vessel price and cost per unit effort, while the peak harvest depends on the ecosystem parameters. Comparison of a large ensemble of idealized simulations with observational databases, focusing on historical biomass and peak harvests, allows us to narrow the range of several uncertain ecosystem parameters, rule out most parameter combinations, and select an optimal ensemble of model variants. Compared to the prior distributions, model variants with lower values of the mortality rate, trophic efficiency, and allometric constant agree better with observations. For most acceptable parameter combinations, natural mortality rates are more strongly affected by temperature than growth rates, suggesting different sensitivities of these processes to climate change. These results highlight the utility of adopting large-scale, aggregated data constraints to reduce model parameter uncertainties and to better predict the response of fisheries to human behaviour and climate change.
Europe PubMed Centra... arrow_drop_down eScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaRecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2017License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0169763&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down eScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaRecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2017License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0169763&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu description Publicationkeyboard_double_arrow_right Article 2019 SpainSpringer Science and Business Media LLC SSHRC, EC | BIGSEASSHRC ,EC| BIGSEAAuthors: Christopher Barrington-Leigh; Eric D. Galbraith;Christopher Barrington-Leigh; Eric D. Galbraith;Subjective well-being surveys show large and consistent variation among countries, much of which can be predicted from a small number of social and economic proxy variables. But the degree to which these life evaluations might feasibly change over coming decades, at the global scale, has not previously been estimated. Here, we use observed historical trends in the proxy variables to constrain feasible future projections of self-reported life evaluations to the year 2050. We find that projected effects of macroeconomic variables tend to lead to modest improvements of global average life evaluations. In contrast, scenarios based on non-material variables project future global average life evaluations covering a much wider range, lying anywhere from the top 15% to the bottom 25% of present-day countries. These results highlight the critical role of non-material factors such as social supports, freedoms, and fairness in determining the future of human well-being. Traditional studies of subjective well-being explain national differences using social and economic proxy variables. Here the authors build on this approach to estimate how global human well-being might evolve over the next three decades, and find that changes in social factors could play a much larger role than changes in economic outcomes.
Nature Communication... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2019License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-018-08002-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu18 citations 18 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Nature Communication... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2019License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-018-08002-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu