Expected distribution of ten vulnerable species within Western France under climate change
Changes in distributions of ten vulnerable species from Western France were determined, between 2020 and 2050, under RCP8.5. After using several bioclimatic niche models filtered by species-specific habitat affinities, Zonation software was employed to identify the areas most likely to best assist t...
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ftdatacite:10.6084/m9.figshare.11720223 2023-05-15T13:00:40+02:00 Expected distribution of ten vulnerable species within Western France under climate change Dupont-Doaré, Ceridwen Alagador, Diogo 2020 https://dx.doi.org/10.6084/m9.figshare.11720223 https://figshare.com/articles/Expected_distribution_of_ten_vulnerable_species_from_Western_France_under_climate_change/11720223 unknown figshare Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY 50202 Conservation and Biodiversity FOS Biological sciences 50101 Ecological Impacts of Climate Change FOS Earth and related environmental sciences 50204 Environmental Impact Assessment 50205 Environmental Management article MediaObject Media Audiovisual 2020 ftdatacite https://doi.org/10.6084/m9.figshare.11720223 2021-11-05T12:55:41Z Changes in distributions of ten vulnerable species from Western France were determined, between 2020 and 2050, under RCP8.5. After using several bioclimatic niche models filtered by species-specific habitat affinities, Zonation software was employed to identify the areas most likely to best assist the persitence of species up to 2050. Here, unlike the most common implementations, Zonation was used for each species a time, and at a large temporal resolution basis (annual analyses) using the ‘spatio-temporal interactions module’. In practice, instead of providing all the suitability maps from 2020 to 2050 to Zonation, which would have resulted into a unique output map, the experimental approach implemented undertook Zonation runs for pairs of consecutive time-periods, thus allowing the control of species area-ranking through time (i.e. 2020-2021, 2021-2022, etc.). This resulted in 30 maps corresponding to plausible trajectories of (climate and land-cover) suitable area for each species. Those maps were combined to better understand species predicted dynamics. Acr: Anas crecca; Age: Accipiter gentilis; Bca: Bufo calamita; Elo: Elaphe longissima; Mbe: Myotis bechsteinii; Mem: Myotis emarginatus; Osc: Otus scops; Pca: Picus canus; Rte: Rana temporaria; Tcr: Triturus cristatus . Article in Journal/Newspaper Accipiter gentilis DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
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topic |
50202 Conservation and Biodiversity FOS Biological sciences 50101 Ecological Impacts of Climate Change FOS Earth and related environmental sciences 50204 Environmental Impact Assessment 50205 Environmental Management |
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50202 Conservation and Biodiversity FOS Biological sciences 50101 Ecological Impacts of Climate Change FOS Earth and related environmental sciences 50204 Environmental Impact Assessment 50205 Environmental Management Dupont-Doaré, Ceridwen Alagador, Diogo Expected distribution of ten vulnerable species within Western France under climate change |
topic_facet |
50202 Conservation and Biodiversity FOS Biological sciences 50101 Ecological Impacts of Climate Change FOS Earth and related environmental sciences 50204 Environmental Impact Assessment 50205 Environmental Management |
description |
Changes in distributions of ten vulnerable species from Western France were determined, between 2020 and 2050, under RCP8.5. After using several bioclimatic niche models filtered by species-specific habitat affinities, Zonation software was employed to identify the areas most likely to best assist the persitence of species up to 2050. Here, unlike the most common implementations, Zonation was used for each species a time, and at a large temporal resolution basis (annual analyses) using the ‘spatio-temporal interactions module’. In practice, instead of providing all the suitability maps from 2020 to 2050 to Zonation, which would have resulted into a unique output map, the experimental approach implemented undertook Zonation runs for pairs of consecutive time-periods, thus allowing the control of species area-ranking through time (i.e. 2020-2021, 2021-2022, etc.). This resulted in 30 maps corresponding to plausible trajectories of (climate and land-cover) suitable area for each species. Those maps were combined to better understand species predicted dynamics. Acr: Anas crecca; Age: Accipiter gentilis; Bca: Bufo calamita; Elo: Elaphe longissima; Mbe: Myotis bechsteinii; Mem: Myotis emarginatus; Osc: Otus scops; Pca: Picus canus; Rte: Rana temporaria; Tcr: Triturus cristatus . |
format |
Article in Journal/Newspaper |
author |
Dupont-Doaré, Ceridwen Alagador, Diogo |
author_facet |
Dupont-Doaré, Ceridwen Alagador, Diogo |
author_sort |
Dupont-Doaré, Ceridwen |
title |
Expected distribution of ten vulnerable species within Western France under climate change |
title_short |
Expected distribution of ten vulnerable species within Western France under climate change |
title_full |
Expected distribution of ten vulnerable species within Western France under climate change |
title_fullStr |
Expected distribution of ten vulnerable species within Western France under climate change |
title_full_unstemmed |
Expected distribution of ten vulnerable species within Western France under climate change |
title_sort |
expected distribution of ten vulnerable species within western france under climate change |
publisher |
figshare |
publishDate |
2020 |
url |
https://dx.doi.org/10.6084/m9.figshare.11720223 https://figshare.com/articles/Expected_distribution_of_ten_vulnerable_species_from_Western_France_under_climate_change/11720223 |
genre |
Accipiter gentilis |
genre_facet |
Accipiter gentilis |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.11720223 |
_version_ |
1766256753394057216 |