Species distribution modelling of the Southern Ocean benthos: a review on methods, cautions and solutions.
International audience Species distribution modelling studies the relationship between species occurrence records and their environmental setting, providing a valuable approach to predicting species distribution in the Southern Ocean (SO), a challenging region to investigate due to its remoteness an...
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Online Access: | https://doi.org/10.1017/S0954102021000183 https://hal.archives-ouvertes.fr/hal-03347312 |
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fttriple:oai:gotriple.eu:10670/1.0ux21g 2023-05-15T13:36:25+02:00 Species distribution modelling of the Southern Ocean benthos: a review on methods, cautions and solutions. Guillaumot, Charlène Danis, Bruno Saucède, Thomas Laboratoire de Biologie Marine (LBM) Université libre de Bruxelles (ULB) Biogéosciences UMR 6282 Dijon (BGS) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS) Work supported by 'Fonds pour la formation a la Recherche dans l'Industrie et l'Agriculture' (FRIA) and 'Bourse fondation de la mer' grants. 2021-08-01 https://doi.org/10.1017/S0954102021000183 https://hal.archives-ouvertes.fr/hal-03347312 en eng HAL CCSD Cambridge University Press (CUP) hal-03347312 doi:10.1017/S0954102021000183 10670/1.0ux21g https://hal.archives-ouvertes.fr/hal-03347312 undefined Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 0954-1020 EISSN: 1365-2079 Antarctic Science Antarctic Science, Cambridge University Press (CUP), 2021, 33 (4), pp.349-372. ⟨10.1017/S0954102021000183⟩ Antarctica biases limits marine benthic invertebrates modelling performance envir geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2021 fttriple https://doi.org/10.1017/S0954102021000183 2023-01-22T17:08:49Z International audience Species distribution modelling studies the relationship between species occurrence records and their environmental setting, providing a valuable approach to predicting species distribution in the Southern Ocean (SO), a challenging region to investigate due to its remoteness and extreme weather and sea conditions. The specificity of SO studies, including restricted field access and sampling, the paucity of observations and difficulties in conducting biological experiments, limit the performance of species distribution models. In this review, we discuss some issues that may influence model performance when preparing datasets and calibrating models, namely the selection and quality of environmental descriptors, the spatial and temporal biases that may affect the quality of occurrence data, the choice of modelling algorithms and the spatial scale and limits of the projection area. We stress the importance of evaluating and communicating model uncertainties, and the most common evaluation metrics are reviewed and discussed accordingly. Based on a selection of case studies on SO benthic invertebrates, we highlight important cautions to take and pitfalls to avoid when modelling the distribution of SO species, and we provide some guidelines along with potential methods and original solutions that can be used for improving model performance. 24 pages Article in Journal/Newspaper Antarc* Antarctic Science Antarctica Southern Ocean Unknown Southern Ocean Antarctic Science 33 4 349 372 |
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fttriple |
language |
English |
topic |
Antarctica biases limits marine benthic invertebrates modelling performance envir geo |
spellingShingle |
Antarctica biases limits marine benthic invertebrates modelling performance envir geo Guillaumot, Charlène Danis, Bruno Saucède, Thomas Species distribution modelling of the Southern Ocean benthos: a review on methods, cautions and solutions. |
topic_facet |
Antarctica biases limits marine benthic invertebrates modelling performance envir geo |
description |
International audience Species distribution modelling studies the relationship between species occurrence records and their environmental setting, providing a valuable approach to predicting species distribution in the Southern Ocean (SO), a challenging region to investigate due to its remoteness and extreme weather and sea conditions. The specificity of SO studies, including restricted field access and sampling, the paucity of observations and difficulties in conducting biological experiments, limit the performance of species distribution models. In this review, we discuss some issues that may influence model performance when preparing datasets and calibrating models, namely the selection and quality of environmental descriptors, the spatial and temporal biases that may affect the quality of occurrence data, the choice of modelling algorithms and the spatial scale and limits of the projection area. We stress the importance of evaluating and communicating model uncertainties, and the most common evaluation metrics are reviewed and discussed accordingly. Based on a selection of case studies on SO benthic invertebrates, we highlight important cautions to take and pitfalls to avoid when modelling the distribution of SO species, and we provide some guidelines along with potential methods and original solutions that can be used for improving model performance. 24 pages |
author2 |
Laboratoire de Biologie Marine (LBM) Université libre de Bruxelles (ULB) Biogéosciences UMR 6282 Dijon (BGS) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS) Work supported by 'Fonds pour la formation a la Recherche dans l'Industrie et l'Agriculture' (FRIA) and 'Bourse fondation de la mer' grants. |
format |
Article in Journal/Newspaper |
author |
Guillaumot, Charlène Danis, Bruno Saucède, Thomas |
author_facet |
Guillaumot, Charlène Danis, Bruno Saucède, Thomas |
author_sort |
Guillaumot, Charlène |
title |
Species distribution modelling of the Southern Ocean benthos: a review on methods, cautions and solutions. |
title_short |
Species distribution modelling of the Southern Ocean benthos: a review on methods, cautions and solutions. |
title_full |
Species distribution modelling of the Southern Ocean benthos: a review on methods, cautions and solutions. |
title_fullStr |
Species distribution modelling of the Southern Ocean benthos: a review on methods, cautions and solutions. |
title_full_unstemmed |
Species distribution modelling of the Southern Ocean benthos: a review on methods, cautions and solutions. |
title_sort |
species distribution modelling of the southern ocean benthos: a review on methods, cautions and solutions. |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://doi.org/10.1017/S0954102021000183 https://hal.archives-ouvertes.fr/hal-03347312 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Antarc* Antarctic Science Antarctica Southern Ocean |
genre_facet |
Antarc* Antarctic Science Antarctica Southern Ocean |
op_source |
Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 0954-1020 EISSN: 1365-2079 Antarctic Science Antarctic Science, Cambridge University Press (CUP), 2021, 33 (4), pp.349-372. ⟨10.1017/S0954102021000183⟩ |
op_relation |
hal-03347312 doi:10.1017/S0954102021000183 10670/1.0ux21g https://hal.archives-ouvertes.fr/hal-03347312 |
op_rights |
undefined |
op_doi |
https://doi.org/10.1017/S0954102021000183 |
container_title |
Antarctic Science |
container_volume |
33 |
container_issue |
4 |
container_start_page |
349 |
op_container_end_page |
372 |
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1766078208363462656 |