Can we generate robust species distribution models at the scale of the Southern Ocean?
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 larg...
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ftunivbruxelles:oai:dipot.ulb.ac.be:2013/277206 2023-05-15T14:05:26+02:00 Can we generate robust species distribution models at the scale of the Southern Ocean? Fabri-Ruiz, Salomé David, Bruno Danis, Bruno Saucède, Thomas 2018-01-01 1 full-text file(s): application/pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/277206 https://dipot.ulb.ac.be/dspace/bitstream/2013/277206/3/Fabri-Ruiz_et_al-2018-Diversity_and_Distributions.pdf en eng uri/info:doi/10.1111/ddi.12835 uri/info:scp/85053877843 https://dipot.ulb.ac.be/dspace/bitstream/2013/277206/3/Fabri-Ruiz_et_al-2018-Diversity_and_Distributions.pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/277206 1 full-text file(s): info:eu-repo/semantics/restrictedAccess Diversity and distributions, 25 (1 Sciences exactes et naturelles Antarctic biogeography conservation Echinoidea ecological niche random forest sampling effort sub-Antarctic info:eu-repo/semantics/article info:ulb-repo/semantics/articlePeerReview info:ulb-repo/semantics/openurl/article 2018 ftunivbruxelles 2022-06-12T21:46:29Z 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. Location: Southern 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, such 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. SCOPUS: ar.j info:eu-repo/semantics/published Article in Journal/Newspaper Antarc* Antarctic International Polar Year IPY Southern Ocean DI-fusion : dépôt institutionnel de l'Université libre de Bruxelles (ULB) Antarctic Southern Ocean |
institution |
Open Polar |
collection |
DI-fusion : dépôt institutionnel de l'Université libre de Bruxelles (ULB) |
op_collection_id |
ftunivbruxelles |
language |
English |
topic |
Sciences exactes et naturelles Antarctic biogeography conservation Echinoidea ecological niche random forest sampling effort sub-Antarctic |
spellingShingle |
Sciences exactes et naturelles Antarctic biogeography conservation Echinoidea ecological niche random forest sampling effort sub-Antarctic Fabri-Ruiz, Salomé David, Bruno Danis, Bruno Saucède, Thomas Can we generate robust species distribution models at the scale of the Southern Ocean? |
topic_facet |
Sciences exactes et naturelles Antarctic biogeography conservation Echinoidea ecological niche random forest sampling effort sub-Antarctic |
description |
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. Location: Southern 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, such 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. SCOPUS: ar.j info:eu-repo/semantics/published |
format |
Article in Journal/Newspaper |
author |
Fabri-Ruiz, Salomé David, Bruno Danis, Bruno Saucède, Thomas |
author_facet |
Fabri-Ruiz, Salomé David, Bruno Danis, 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? |
publishDate |
2018 |
url |
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/277206 https://dipot.ulb.ac.be/dspace/bitstream/2013/277206/3/Fabri-Ruiz_et_al-2018-Diversity_and_Distributions.pdf |
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 |
Diversity and distributions, 25 (1 |
op_relation |
uri/info:doi/10.1111/ddi.12835 uri/info:scp/85053877843 https://dipot.ulb.ac.be/dspace/bitstream/2013/277206/3/Fabri-Ruiz_et_al-2018-Diversity_and_Distributions.pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/277206 |
op_rights |
1 full-text file(s): info:eu-repo/semantics/restrictedAccess |
_version_ |
1766277336470126592 |