ArticleScientific reports2025
Hierarchical habitat selection by a predatory fish in a patchy seascape.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
10 authors.
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Abstract
Faunal habitat selection, or the disproportionate use of available resources, is closely linked to habitat composition and configuration across a seascape. However, the drivers of habitat selection operate across multiple scales and require a hierarchical approach to study. This study combines acoustic telemetry, field survey data, remote sensing, and machine learning to investigate the multi-scale (seascape and patch) habitat selection of spotted seatrout (Cynoscion nebulosus) in Florida Bay, Everglades National Park, USA. Spotted seatrout responded to both scales, as there were three patch-scale (Halodule cover, standard deviation of submerged aquatic vegetation (SAV) cover, and SAV species richness) and one seascape-scale (patch density) predictor in the top four. However, responses were scale-specific, exhibiting logistic responses to seascape-level variables and optimal (specific-range) responses to patch-level characteristics. This study highlights the importance of investigating habitat selection across multiple scales as climate change alters not only species ranges, but local seascapes as well.
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