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Mapping queen snapper (Etelis oculatus) suitable habitat in Puerto Rico using ensemble species distribution modeling

Overly Katherine E. et Lecours Vincent. (2024). Mapping queen snapper (Etelis oculatus) suitable habitat in Puerto Rico using ensemble species distribution modeling. PLOS ONE, 19, (2), e0298755.

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URL officielle: https://dx.doi.org/doi:10.1371/journal.pone.029875...

Résumé

Queen snapper ( Etelis oculatus ) is of interest from an ecological and management perspective as it is the second most landed finfish species (by total pounds) as determined by Puerto Rico commercial landings (2010–2019). As fishing activities progressively expand into deeper waters, it is critical to gather data on deep-sea fish populations to identify essential fish habitats (EFH). In the U.S. Caribbean, the critically data-deficient nature of this species has made this challenging. We investigated the use of ensemble species distribution modeling (ESDM) to predict queen snapper distribution along the coast of Puerto Rico. Using occurrence data and terrain attributes derived from bathymetric datasets at different resolutions, we developed species distribution models unique to each sampling region (west, northeast, and southeast Puerto Rico) using seven different algorithms. Then, we developed ESDM models to analyze fish distribution using the highest-performing algorithms for each region. Model performance was evaluated for each ensemble model, with all depicting ‘excellent’ predictive capability (AUC > 0.8). Additionally, all ensemble models depicted ‘substantial agreement’ (Kappa > 0.7). We then used the models in combination with existing knowledge of the species’ range to produce binary maps of potential queen snapper distributions. Variable importance differed across spatial resolutions of 30 m (west region) and 8 m (northeast and southeast region); however, bathymetry was consistently one of the best predictors of queen snapper suitable habitat. Positive detections showed strong regional patterns localized around large bathymetric features, such as seamounts and ridges. Despite the data-deficient condition of queen snapper population dynamics, these models will help facilitate the analysis of their spatial distribution and habitat preferences at different spatial scales. Our results therefore provide a first step in designing long-term monitoring programs targeting queen snapper, and determining EFH and the general distribution of this species in Puerto Rico.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:1932-6203
Volume:19
Numéro:2
Pages:e0298755
Version évaluée par les pairs:Oui
Date:26 Février 2024
Nombre de pages:1
Identifiant unique:10.1371/journal.pone.0298755
Sujets:Sciences naturelles et génie > Sciences mathématiques > Informatique
Sciences naturelles et génie > Sciences naturelles > Biologie et autres sciences connexes
Sciences naturelles et génie > Sciences naturelles > Sciences de la terre (géologie, géographie)
Département, module, service et unité de recherche:Départements et modules > Département des sciences humaines
Unités de recherche > Centre de recherche sur la Boréalie (CREB)
Mots-clés:Etelis oculatus, queen snapper, algorithms, ensemble species distribution modeling, ESDM, population dynamics, Puerto Rico
Déposé le:11 mars 2024 15:44
Dernière modification:11 mars 2024 15:44
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