Can we generate robust species distribution models at the scale of the Southern Ocean?
17 pages International audience Aim: Species distribution modelling (SDM) represents a valuable alternative to predict species distribution over vast and remote areas of the ocean. We tested whether reliable SDMs can be generated for benthic marine organisms at the scale of the Southern Ocean. We ai...
Published in: | Diversity and Distributions |
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Online Access: | https://hal.science/hal-01978708 https://hal.science/hal-01978708/document https://hal.science/hal-01978708/file/Diversity%20and%20Distributions%20-%202018%20-%20Fabri%E2%80%90Ruiz%20-%20Can%20we%20generate%20robust%20species%20distribution%20models%20at%20the%20scale%20of%20the.pdf https://doi.org/10.1111/ddi.12835 |
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ftmuseumnhn:oai:HAL:hal-01978708v1 2024-05-12T07:53:45+00:00 Can we generate robust species distribution models at the scale of the Southern Ocean? Fabri-Ruiz, Salomé Danis, Bruno David, Bruno Saucède, Thomas Biogéosciences UMR 6282 (BGS) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS) Laboratoire de Biologie Marine Université libre de Bruxelles (ULB) Muséum national d'Histoire naturelle (MNHN) 2019-01 https://hal.science/hal-01978708 https://hal.science/hal-01978708/document https://hal.science/hal-01978708/file/Diversity%20and%20Distributions%20-%202018%20-%20Fabri%E2%80%90Ruiz%20-%20Can%20we%20generate%20robust%20species%20distribution%20models%20at%20the%20scale%20of%20the.pdf https://doi.org/10.1111/ddi.12835 en eng HAL CCSD Wiley info:eu-repo/semantics/altIdentifier/doi/10.1111/ddi.12835 hal-01978708 https://hal.science/hal-01978708 https://hal.science/hal-01978708/document https://hal.science/hal-01978708/file/Diversity%20and%20Distributions%20-%202018%20-%20Fabri%E2%80%90Ruiz%20-%20Can%20we%20generate%20robust%20species%20distribution%20models%20at%20the%20scale%20of%20the.pdf doi:10.1111/ddi.12835 info:eu-repo/semantics/OpenAccess ISSN: 1366-9516 EISSN: 1472-4642 Diversity and Distributions https://hal.science/hal-01978708 Diversity and Distributions, 2019, 25 (1), pp.21-37. ⟨10.1111/ddi.12835⟩ https://onlinelibrary.wiley.com/doi/full/10.1111/ddi.12835 Antarctic biogeography conservation Echinoidea ecological niche random forest sampling effort sub-Antarctic [SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography info:eu-repo/semantics/article Journal articles 2019 ftmuseumnhn https://doi.org/10.1111/ddi.12835 2024-04-17T23:54:50Z 17 pages International audience Aim: Species distribution modelling (SDM) represents a valuable alternative to predict species distribution over vast and remote areas of the ocean. We tested whether reliable SDMs can be generated for benthic marine organisms at the scale of the Southern Ocean. We aimed at identifying the main large‐scale factors that determine the distribution of the selected species. The robustness of SDMs was tested with regards to sampling effort, species niche width and biogeography.LocationSouthern Ocean.Methods: The impact of sampling effort was tested using two sets of data: one set with all presence‐only data available until 2005, and a second set using all data available until 2015 including recent records from campaigns carried out during the Census of Antarctic Marine Life (CAML) and the International Polar Year (IPY) period (2005–2010). The accuracy of SDMs was tested using a ground‐truthing approach by comparing recent presence/absence data collected during the CAML and IPY period to pre‐CAML model predictions.Results: Our results show the significance of the SDM approach and the role of abiotic factors as important drivers of species distribution at broad spatial scale. The addition of recent data to the models significantly improved the prediction of SDM and changed the respective contributions of environmental predictors. However, the intensity of change varied between models depending on sampling tools, species ecological niche width and biogeographic barriers to dispersal.Main conclusions: We highlight the need for new data and the significance of the ground‐truthing approach to test the accuracy of SDMs. We show the importance of data collected through international initiatives, su ch as the CAML and IPY to the improvement of species distribution modelling at broad spatial scales. Finally, we discussed the relevance of SDM as a relevant marine conservation tool particularly in the context of climate change and the definition of Marine Protected Areas. Article in Journal/Newspaper Antarc* Antarctic International Polar Year IPY Southern Ocean Muséum National d'Histoire Naturelle (MNHM): HAL Antarctic Southern Ocean Diversity and Distributions 25 1 21 37 |
institution |
Open Polar |
collection |
Muséum National d'Histoire Naturelle (MNHM): HAL |
op_collection_id |
ftmuseumnhn |
language |
English |
topic |
Antarctic biogeography conservation Echinoidea ecological niche random forest sampling effort sub-Antarctic [SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
spellingShingle |
Antarctic biogeography conservation Echinoidea ecological niche random forest sampling effort sub-Antarctic [SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography Fabri-Ruiz, Salomé Danis, Bruno David, Bruno Saucède, Thomas Can we generate robust species distribution models at the scale of the Southern Ocean? |
topic_facet |
Antarctic biogeography conservation Echinoidea ecological niche random forest sampling effort sub-Antarctic [SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
description |
17 pages International audience Aim: Species distribution modelling (SDM) represents a valuable alternative to predict species distribution over vast and remote areas of the ocean. We tested whether reliable SDMs can be generated for benthic marine organisms at the scale of the Southern Ocean. We aimed at identifying the main large‐scale factors that determine the distribution of the selected species. The robustness of SDMs was tested with regards to sampling effort, species niche width and biogeography.LocationSouthern Ocean.Methods: The impact of sampling effort was tested using two sets of data: one set with all presence‐only data available until 2005, and a second set using all data available until 2015 including recent records from campaigns carried out during the Census of Antarctic Marine Life (CAML) and the International Polar Year (IPY) period (2005–2010). The accuracy of SDMs was tested using a ground‐truthing approach by comparing recent presence/absence data collected during the CAML and IPY period to pre‐CAML model predictions.Results: Our results show the significance of the SDM approach and the role of abiotic factors as important drivers of species distribution at broad spatial scale. The addition of recent data to the models significantly improved the prediction of SDM and changed the respective contributions of environmental predictors. However, the intensity of change varied between models depending on sampling tools, species ecological niche width and biogeographic barriers to dispersal.Main conclusions: We highlight the need for new data and the significance of the ground‐truthing approach to test the accuracy of SDMs. We show the importance of data collected through international initiatives, su ch as the CAML and IPY to the improvement of species distribution modelling at broad spatial scales. Finally, we discussed the relevance of SDM as a relevant marine conservation tool particularly in the context of climate change and the definition of Marine Protected Areas. |
author2 |
Biogéosciences UMR 6282 (BGS) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS) Laboratoire de Biologie Marine Université libre de Bruxelles (ULB) Muséum national d'Histoire naturelle (MNHN) |
format |
Article in Journal/Newspaper |
author |
Fabri-Ruiz, Salomé Danis, Bruno David, Bruno Saucède, Thomas |
author_facet |
Fabri-Ruiz, Salomé Danis, Bruno David, Bruno Saucède, Thomas |
author_sort |
Fabri-Ruiz, Salomé |
title |
Can we generate robust species distribution models at the scale of the Southern Ocean? |
title_short |
Can we generate robust species distribution models at the scale of the Southern Ocean? |
title_full |
Can we generate robust species distribution models at the scale of the Southern Ocean? |
title_fullStr |
Can we generate robust species distribution models at the scale of the Southern Ocean? |
title_full_unstemmed |
Can we generate robust species distribution models at the scale of the Southern Ocean? |
title_sort |
can we generate robust species distribution models at the scale of the southern ocean? |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.science/hal-01978708 https://hal.science/hal-01978708/document https://hal.science/hal-01978708/file/Diversity%20and%20Distributions%20-%202018%20-%20Fabri%E2%80%90Ruiz%20-%20Can%20we%20generate%20robust%20species%20distribution%20models%20at%20the%20scale%20of%20the.pdf https://doi.org/10.1111/ddi.12835 |
geographic |
Antarctic Southern Ocean |
geographic_facet |
Antarctic Southern Ocean |
genre |
Antarc* Antarctic International Polar Year IPY Southern Ocean |
genre_facet |
Antarc* Antarctic International Polar Year IPY Southern Ocean |
op_source |
ISSN: 1366-9516 EISSN: 1472-4642 Diversity and Distributions https://hal.science/hal-01978708 Diversity and Distributions, 2019, 25 (1), pp.21-37. ⟨10.1111/ddi.12835⟩ https://onlinelibrary.wiley.com/doi/full/10.1111/ddi.12835 |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1111/ddi.12835 hal-01978708 https://hal.science/hal-01978708 https://hal.science/hal-01978708/document https://hal.science/hal-01978708/file/Diversity%20and%20Distributions%20-%202018%20-%20Fabri%E2%80%90Ruiz%20-%20Can%20we%20generate%20robust%20species%20distribution%20models%20at%20the%20scale%20of%20the.pdf doi:10.1111/ddi.12835 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1111/ddi.12835 |
container_title |
Diversity and Distributions |
container_volume |
25 |
container_issue |
1 |
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21 |
op_container_end_page |
37 |
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1798844455046873088 |