Using correlative and mechanistic niche models to assess the sensitivity of the Antarctic echinoid Sterechinus neumayeri to climate change

The Southern Ocean is undergoing rapid environmental changes that are likely to have a profound impact on marine life, as organisms are adapted to sub-zero temperatures and display specific adaptations to polar conditions. However, species ecological and physiological responses to environmental chan...

Full description

Bibliographic Details
Published in:Polar Biology
Main Authors: Fabri-Ruiz, Salome, Guillaumot, Charlène, Aguera, Antonio, Danis, Bruno, Saucède, Thomas
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/11250/2764560
https://doi.org/10.1007/s00300-021-02886-5
id ftimr:oai:imr.brage.unit.no:11250/2764560
record_format openpolar
spelling ftimr:oai:imr.brage.unit.no:11250/2764560 2023-05-15T13:30:57+02:00 Using correlative and mechanistic niche models to assess the sensitivity of the Antarctic echinoid Sterechinus neumayeri to climate change Fabri-Ruiz, Salome Guillaumot, Charlène Aguera, Antonio Danis, Bruno Saucède, Thomas 2021 application/pdf https://hdl.handle.net/11250/2764560 https://doi.org/10.1007/s00300-021-02886-5 eng eng Polar Biology. 2021, . urn:issn:0722-4060 https://hdl.handle.net/11250/2764560 https://doi.org/10.1007/s00300-021-02886-5 cristin:1921533 23 Polar Biology Peer reviewed Journal article 2021 ftimr https://doi.org/10.1007/s00300-021-02886-5 2021-09-23T20:14:31Z The Southern Ocean is undergoing rapid environmental changes that are likely to have a profound impact on marine life, as organisms are adapted to sub-zero temperatures and display specific adaptations to polar conditions. However, species ecological and physiological responses to environmental changes remain poorly understood at large spatial scale owing to sparse observation data. In this context, correlative ecological niche modeling (ENMc) can prove useful. This approach is based on the correlation between species occurrences and environmental parameters to predict the potential species occupied space. However, this approach suffers from a series of limitations amongst which extrapolation and poor transferability performances in space and time. Mechanistic ecological niche modeling (ENMm) is a process-based approach that describes species functional traits in a dynamic environmental context and can therefore represent a complementary tool to understand processes that shape species distribution in a changing environment. In this study, we used both ENMc and ENMm projections to model the distribution of the Antarctic echinoid Sterechinus neumayeri. Both models were projected according to present (2005–2012) and future IPCC scenarios RCP 4.5 and 8.5 for (2050–2099). ENMc and ENMm projections are congruent and predict suitable current conditions for the species on the Antarctic shelf, in the Ross Sea and Prydz Bay areas. Unsuitable conditions are predicted in the northern Kerguelen Plateau and South Campbell Plateau due to observed lower food availability and higher sea water temperatures compared to other areas. In contrast, the two models diverge under future RCP 4.5 and 8.5 scenarios. According to ENMm projections, the species would not be able to grow nor reach sexual maturity over the entire ocean, whereas the Antarctic shelf is still projected as suitable by the ENMc. This study highlights the complementarity and relevance of EMN approaches to model large scale distribution patterns and assess species sensitivity and potential response to future environmental conditions. publishedVersion Article in Journal/Newspaper Antarc* Antarctic Polar Biology Prydz Bay Ross Sea Southern Ocean Institute for Marine Research: Brage IMR Antarctic Campbell Plateau ENVELOPE(171.000,171.000,-50.667,-50.667) Kerguelen Prydz Bay Ross Sea Southern Ocean The Antarctic Polar Biology 44 8 1517 1539
institution Open Polar
collection Institute for Marine Research: Brage IMR
op_collection_id ftimr
language English
description The Southern Ocean is undergoing rapid environmental changes that are likely to have a profound impact on marine life, as organisms are adapted to sub-zero temperatures and display specific adaptations to polar conditions. However, species ecological and physiological responses to environmental changes remain poorly understood at large spatial scale owing to sparse observation data. In this context, correlative ecological niche modeling (ENMc) can prove useful. This approach is based on the correlation between species occurrences and environmental parameters to predict the potential species occupied space. However, this approach suffers from a series of limitations amongst which extrapolation and poor transferability performances in space and time. Mechanistic ecological niche modeling (ENMm) is a process-based approach that describes species functional traits in a dynamic environmental context and can therefore represent a complementary tool to understand processes that shape species distribution in a changing environment. In this study, we used both ENMc and ENMm projections to model the distribution of the Antarctic echinoid Sterechinus neumayeri. Both models were projected according to present (2005–2012) and future IPCC scenarios RCP 4.5 and 8.5 for (2050–2099). ENMc and ENMm projections are congruent and predict suitable current conditions for the species on the Antarctic shelf, in the Ross Sea and Prydz Bay areas. Unsuitable conditions are predicted in the northern Kerguelen Plateau and South Campbell Plateau due to observed lower food availability and higher sea water temperatures compared to other areas. In contrast, the two models diverge under future RCP 4.5 and 8.5 scenarios. According to ENMm projections, the species would not be able to grow nor reach sexual maturity over the entire ocean, whereas the Antarctic shelf is still projected as suitable by the ENMc. This study highlights the complementarity and relevance of EMN approaches to model large scale distribution patterns and assess species sensitivity and potential response to future environmental conditions. publishedVersion
format Article in Journal/Newspaper
author Fabri-Ruiz, Salome
Guillaumot, Charlène
Aguera, Antonio
Danis, Bruno
Saucède, Thomas
spellingShingle Fabri-Ruiz, Salome
Guillaumot, Charlène
Aguera, Antonio
Danis, Bruno
Saucède, Thomas
Using correlative and mechanistic niche models to assess the sensitivity of the Antarctic echinoid Sterechinus neumayeri to climate change
author_facet Fabri-Ruiz, Salome
Guillaumot, Charlène
Aguera, Antonio
Danis, Bruno
Saucède, Thomas
author_sort Fabri-Ruiz, Salome
title Using correlative and mechanistic niche models to assess the sensitivity of the Antarctic echinoid Sterechinus neumayeri to climate change
title_short Using correlative and mechanistic niche models to assess the sensitivity of the Antarctic echinoid Sterechinus neumayeri to climate change
title_full Using correlative and mechanistic niche models to assess the sensitivity of the Antarctic echinoid Sterechinus neumayeri to climate change
title_fullStr Using correlative and mechanistic niche models to assess the sensitivity of the Antarctic echinoid Sterechinus neumayeri to climate change
title_full_unstemmed Using correlative and mechanistic niche models to assess the sensitivity of the Antarctic echinoid Sterechinus neumayeri to climate change
title_sort using correlative and mechanistic niche models to assess the sensitivity of the antarctic echinoid sterechinus neumayeri to climate change
publishDate 2021
url https://hdl.handle.net/11250/2764560
https://doi.org/10.1007/s00300-021-02886-5
long_lat ENVELOPE(171.000,171.000,-50.667,-50.667)
geographic Antarctic
Campbell Plateau
Kerguelen
Prydz Bay
Ross Sea
Southern Ocean
The Antarctic
geographic_facet Antarctic
Campbell Plateau
Kerguelen
Prydz Bay
Ross Sea
Southern Ocean
The Antarctic
genre Antarc*
Antarctic
Polar Biology
Prydz Bay
Ross Sea
Southern Ocean
genre_facet Antarc*
Antarctic
Polar Biology
Prydz Bay
Ross Sea
Southern Ocean
op_source 23
Polar Biology
op_relation Polar Biology. 2021, .
urn:issn:0722-4060
https://hdl.handle.net/11250/2764560
https://doi.org/10.1007/s00300-021-02886-5
cristin:1921533
op_doi https://doi.org/10.1007/s00300-021-02886-5
container_title Polar Biology
container_volume 44
container_issue 8
container_start_page 1517
op_container_end_page 1539
_version_ 1766014521830277120