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Hierarchical habitat selection by a predatory fish in a patchy seascape

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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41598-025-27322-0

Authors



Publisher:
Nature Research
Journal:
Scientific Reports More from this journal
Volume:
15
Issue:
1
Article number:
43443
Publication date:
2025-12-04
Acceptance date:
2025-11-03
DOI:
EISSN:
2045-2322
ISSN:
2045-2322


Language:
English
Keywords:
UUID:
uuid_f9302ac9-a448-47ee-8fb2-c5857df931bc
Source identifiers:
3549981
Deposit date:
2025-12-09
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