Selecting environmental descriptors is critical for modelling the distribution of Antarctic benthic species
Species distribution models (SDMs) are increasingly used in ecological and biogeographic studies by Antarctic biologists, including for conservation and management purposes. During the modelling process, model calibration is a critical step to ensure model reliability and robustness, especially in t...
Main Authors: | , , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/309354 https://dipot.ulb.ac.be/dspace/bitstream/2013/309354/3/Guillaumot2020_Article_SelectingEnvironmentalDescript.pdf |
id |
ftunivbruxelles:oai:dipot.ulb.ac.be:2013/309354 |
---|---|
record_format |
openpolar |
spelling |
ftunivbruxelles:oai:dipot.ulb.ac.be:2013/309354 2024-04-28T07:58:26+00:00 Selecting environmental descriptors is critical for modelling the distribution of Antarctic benthic species Charlène, Guillaumot Danis, Bruno Thomas, Saucède 2020-07-01 1 full-text file(s): application/pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/309354 https://dipot.ulb.ac.be/dspace/bitstream/2013/309354/3/Guillaumot2020_Article_SelectingEnvironmentalDescript.pdf en eng uri/info:doi/10.1007/s00300-020-02714-2 uri/info:pii/2714 uri/info:scp/85087552560 https://dipot.ulb.ac.be/dspace/bitstream/2013/309354/3/Guillaumot2020_Article_SelectingEnvironmentalDescript.pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/309354 1 full-text file(s): info:eu-repo/semantics/openAccess Polar biology Sciences exactes et naturelles info:eu-repo/semantics/article info:ulb-repo/semantics/articlePeerReview info:ulb-repo/semantics/openurl/article 2020 ftunivbruxelles 2024-04-10T00:14:40Z Species distribution models (SDMs) are increasingly used in ecological and biogeographic studies by Antarctic biologists, including for conservation and management purposes. During the modelling process, model calibration is a critical step to ensure model reliability and robustness, especially in the case of SDMs, for which the number of selected environmental descriptors and their collinearity is a recurring issue. Boosted regression trees (BRT) was previously considered as one of the best modelling approach to correct for this type of bias. In the present study, we test the performance of BRT in modelling the distribution of Southern Ocean species using different numbers of environmental descriptors, either collinear or not. Models are generated for six sea star species with contrasting ecological niches and wide distribution ranges over the entire Southern Ocean. For the six studied species, overall modelling performance is not affected by the number of environmental descriptors used to generate models, BRT using the most informative descriptors and minimizing model overfitting. However, removing collinear descriptors also helps reduce model overfitting. Our results confirm that BRTs may perform well and are relevant to deal with complex and redundant environmental information for Antarctic biodiversity distribution studies. Selecting a limited number of non-collinear descriptors before modelling may generate simpler models and facilitate their interpretation. The modelled distributions do not differ noticeably between the different species despite contrasting species ecological niches. This unexpected result stresses important limitations in using SDMs for broad scale spatial studies, based on limited, spatially aggregated data, and low-resolution descriptors. SCOPUS: ar.j info:eu-repo/semantics/published Article in Journal/Newspaper Antarc* Antarctic Polar Biology Southern Ocean DI-fusion : dépôt institutionnel de l'Université libre de Bruxelles (ULB) |
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 |
spellingShingle |
Sciences exactes et naturelles Charlène, Guillaumot Danis, Bruno Thomas, Saucède Selecting environmental descriptors is critical for modelling the distribution of Antarctic benthic species |
topic_facet |
Sciences exactes et naturelles |
description |
Species distribution models (SDMs) are increasingly used in ecological and biogeographic studies by Antarctic biologists, including for conservation and management purposes. During the modelling process, model calibration is a critical step to ensure model reliability and robustness, especially in the case of SDMs, for which the number of selected environmental descriptors and their collinearity is a recurring issue. Boosted regression trees (BRT) was previously considered as one of the best modelling approach to correct for this type of bias. In the present study, we test the performance of BRT in modelling the distribution of Southern Ocean species using different numbers of environmental descriptors, either collinear or not. Models are generated for six sea star species with contrasting ecological niches and wide distribution ranges over the entire Southern Ocean. For the six studied species, overall modelling performance is not affected by the number of environmental descriptors used to generate models, BRT using the most informative descriptors and minimizing model overfitting. However, removing collinear descriptors also helps reduce model overfitting. Our results confirm that BRTs may perform well and are relevant to deal with complex and redundant environmental information for Antarctic biodiversity distribution studies. Selecting a limited number of non-collinear descriptors before modelling may generate simpler models and facilitate their interpretation. The modelled distributions do not differ noticeably between the different species despite contrasting species ecological niches. This unexpected result stresses important limitations in using SDMs for broad scale spatial studies, based on limited, spatially aggregated data, and low-resolution descriptors. SCOPUS: ar.j info:eu-repo/semantics/published |
format |
Article in Journal/Newspaper |
author |
Charlène, Guillaumot Danis, Bruno Thomas, Saucède |
author_facet |
Charlène, Guillaumot Danis, Bruno Thomas, Saucède |
author_sort |
Charlène, Guillaumot |
title |
Selecting environmental descriptors is critical for modelling the distribution of Antarctic benthic species |
title_short |
Selecting environmental descriptors is critical for modelling the distribution of Antarctic benthic species |
title_full |
Selecting environmental descriptors is critical for modelling the distribution of Antarctic benthic species |
title_fullStr |
Selecting environmental descriptors is critical for modelling the distribution of Antarctic benthic species |
title_full_unstemmed |
Selecting environmental descriptors is critical for modelling the distribution of Antarctic benthic species |
title_sort |
selecting environmental descriptors is critical for modelling the distribution of antarctic benthic species |
publishDate |
2020 |
url |
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/309354 https://dipot.ulb.ac.be/dspace/bitstream/2013/309354/3/Guillaumot2020_Article_SelectingEnvironmentalDescript.pdf |
genre |
Antarc* Antarctic Polar Biology Southern Ocean |
genre_facet |
Antarc* Antarctic Polar Biology Southern Ocean |
op_source |
Polar biology |
op_relation |
uri/info:doi/10.1007/s00300-020-02714-2 uri/info:pii/2714 uri/info:scp/85087552560 https://dipot.ulb.ac.be/dspace/bitstream/2013/309354/3/Guillaumot2020_Article_SelectingEnvironmentalDescript.pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/309354 |
op_rights |
1 full-text file(s): info:eu-repo/semantics/openAccess |
_version_ |
1797569528957239296 |