Species distribution modelling of the Southern Ocean benthos: a review on methods, cautions and solutions.
24 pages 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 remo...
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Online Access: | https://hal.archives-ouvertes.fr/hal-03347312 https://doi.org/10.1017/S0954102021000183 |
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ftunivnantes:oai:HAL:hal-03347312v1 2023-05-15T13:54:39+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 (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 https://hal.archives-ouvertes.fr/hal-03347312 https://doi.org/10.1017/S0954102021000183 en eng HAL CCSD Cambridge University Press (CUP) info:eu-repo/semantics/altIdentifier/doi/10.1017/S0954102021000183 hal-03347312 https://hal.archives-ouvertes.fr/hal-03347312 doi:10.1017/S0954102021000183 ISSN: 0954-1020 EISSN: 1365-2079 Antarctic Science https://hal.archives-ouvertes.fr/hal-03347312 Antarctic Science, Cambridge University Press (CUP), 2021, 33 (4), pp.349-372. ⟨10.1017/S0954102021000183⟩ https://www.cambridge.org/core/journals/antarctic-science/article/abs/species-distribution-modelling-of-the-southern-ocean-benthos-a-review-on-methods-cautions-and-solutions/18FE04A09472D8FBDCF626353874315D Antarctica biases limits marine benthic invertebrates modelling performance [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2021 ftunivnantes https://doi.org/10.1017/S0954102021000183 2022-08-30T22:59:24Z 24 pages 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. Article in Journal/Newspaper Antarc* Antarctic Science Antarctica Southern Ocean Université de Nantes: HAL-UNIV-NANTES Southern Ocean Antarctic Science 33 4 349 372 |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
Antarctica biases limits marine benthic invertebrates modelling performance [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
Antarctica biases limits marine benthic invertebrates modelling performance [SDE.BE]Environmental Sciences/Biodiversity and Ecology 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 [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
description |
24 pages 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. |
author2 |
Laboratoire de Biologie Marine (LBM) Université libre de Bruxelles (ULB) Biogéosciences UMR 6282 (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://hal.archives-ouvertes.fr/hal-03347312 https://doi.org/10.1017/S0954102021000183 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Antarc* Antarctic Science Antarctica Southern Ocean |
genre_facet |
Antarc* Antarctic Science Antarctica Southern Ocean |
op_source |
ISSN: 0954-1020 EISSN: 1365-2079 Antarctic Science https://hal.archives-ouvertes.fr/hal-03347312 Antarctic Science, Cambridge University Press (CUP), 2021, 33 (4), pp.349-372. ⟨10.1017/S0954102021000183⟩ https://www.cambridge.org/core/journals/antarctic-science/article/abs/species-distribution-modelling-of-the-southern-ocean-benthos-a-review-on-methods-cautions-and-solutions/18FE04A09472D8FBDCF626353874315D |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1017/S0954102021000183 hal-03347312 https://hal.archives-ouvertes.fr/hal-03347312 doi:10.1017/S0954102021000183 |
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 |
_version_ |
1766260708982390784 |