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Modéliser la réponse des espèces au changement climatique dans les iles subantarctiques : étude de cas chez les oursins du Plateau des Kerguelen

Authors :
Saucède, Thomas
Guillaumot, Charlène
Michel, Loic
Fabri-ruiz, Salomé
Bazin, Alexis
Cabessut, Marie
Garcia-berro, Aurora
Mateos, Amélie
Mathieu, Olivier
De Ridder, Chantal
Dubois, Philippe
Danis, Bruno
David, Bruno
Diaz, Angie
Lepoint, Gilles
Motreuil, Sébastien
Poulin, Elie
Féral, Jean-pierre
Saucède, Thomas
Guillaumot, Charlène
Michel, Loic
Fabri-ruiz, Salomé
Bazin, Alexis
Cabessut, Marie
Garcia-berro, Aurora
Mateos, Amélie
Mathieu, Olivier
De Ridder, Chantal
Dubois, Philippe
Danis, Bruno
David, Bruno
Diaz, Angie
Lepoint, Gilles
Motreuil, Sébastien
Poulin, Elie
Féral, Jean-pierre
Publication Year :
2019

Abstract

In the Kerguelen Islands, the multiple effects of climate change are expected to impact coastal marine habitats. Species distribution models (SDM) can represent a convenient tool to predict the biogeographic response of species to climate change but biotic interactions are not considered in these models. Nevertheless, new species interactions can emerge in communities exposed to environmental changes and the structure of biotic interactions is directly related to the potential resilience of ecosystems. Trophic interaction studies can help predict species vulnerability to environmental changes using carbon (δ13C) and nitrogen (δ15N) stable isotope ratios to generate trophic models. Using new available data inputs, we generated robust SDM and trophic interaction models to assess the potential response and sensitivity of three echinoid species to future worst-case scenarios of environmental change in the Kerguelen Plateau region. The two modelling approaches provide contrasting insights into the potential responses of each species to future environmental changes with both approaches identifying Abatus cordatus to be particularly vulnerable due to its narrow ecological niche and endemism to near-shore areas. Coupling insights gained from trophic niche ecology with species distribution modelling represents a promising approach that can improve our understanding and ability to predict the potential responses of species to future habitat changes.

Details

Database :
OAIster
Notes :
application/pdf, French, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1129124095
Document Type :
Electronic Resource