Classic or hybrid? The performance of next generation ecological models to study the response of Southern Ocean species to changing environmental conditions

Charlène Guillaumot*, Jonathan Belmaker, Yehezkel Buba, Damien Fourcy, Philippe Dubois, Bruno Danis, Eline Le Moan, Thomas Saucède

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Aim: In the context of intensifying threats of climate change on marine communities, ecological models are widely applied for conservation strategies, though polar studies remain scarce given the limited number of datasets available. Correlative (e.g. species distribution models, SDM) and mechanistic (e.g. dynamic energy budget models, DEB) modelling approaches are usually used independently in studies. Using both approaches in integrative, hybrid models could help to better estimate the species potential ecological niche, as mechanistic and correlative models complement each other very well, giving more insights into species potential response to fast-changing environmental conditions. Location: The study focusses on the Baie du Morbihan, a silled basin located in the east of the Kerguelen Islands (sub-Antarctic). Methods: A hybrid, correlative-mechanistic model was implemented to predict the response of the endemic sea urchin Abatus cordatus (Verrill, 1876). We compared the performances of classic and integrated approaches to predict A. cordatus distribution according to two dates representing seasonal contrasts. Two integrated approaches were studied and performed by either (1) including the spatial projection of the DEB model as an input layer inside the SDM (‘integrated SDM-DEB’) or (2) using a Bayesian procedure to use DEB model outputs as priors of the SDM (‘integrated Bayesian’ approach). Results: Results show higher performances of ‘integrated Bayesian’ approaches to evaluate A. cordatus potential ecological niche compared with ‘classic’ and ‘integrated SDM-DEB’ methods. The influence of environmental conditions on model predictions is further captured with these Bayesian procedures and better highlights the environmental influence on the species-predicted distribution. Model performance is good for the different simulations, and uncertainty in predictions is well-highlighted. Main conclusions: The good performances of ‘integrated Bayesian’ approaches to estimate species potential ecological niche opens perspectives for future applications to a broad panel of natural examples, noteworthy for decision-making and conservation management purposes.

Original languageEnglish
Pages (from-to)2286-2302
Number of pages17
JournalDiversity and Distributions
Volume28
Issue number11
DOIs
StatePublished - Nov 2022

Funding

FundersFunder number
French Southern Territories
LTSER Zone ATelier Antarctique
ZATA
National Aeronautics and Space Administration
Fonds De La Recherche Scientifique - FNRS
Belgian Federal Science Policy OfficeBR/132/A1/vERSO, BR/154/A1/RECTO
Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture
Institut Polaire Français Paul Emile Victor

    Keywords

    • Bayesian inference
    • Kerguelen Islands
    • data-poor systems
    • integrated approaches
    • sea urchin
    • species distribution modelling

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