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| Main Authors: | , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Scientific reports
2025
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/40133394/ |
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| _version_ | 1868266226140053505 |
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| author | D'Antonio, Ben Meekan, Mark Ferreira, Luciana C Taylor, Michael D Pattiaratchi, Charitha B Sequeira, Ana M M |
| author_facet | D'Antonio, Ben Meekan, Mark Ferreira, Luciana C Taylor, Michael D Pattiaratchi, Charitha B Sequeira, Ana M M D'Antonio, Ben Meekan, Mark Ferreira, Luciana C Taylor, Michael D Pattiaratchi, Charitha B Sequeira, Ana M M |
| collection | PubMed - marine biology |
| contents | Salinity drives the distribution of a top-order predator, the tiger shark (Galeocerdo cuvier), in an inverse estuary. D'Antonio, Ben Meekan, Mark Ferreira, Luciana C Taylor, Michael D Pattiaratchi, Charitha B Sequeira, Ana M M Animals Sharks Estuaries Salinity Predatory Behavior Ecosystem Western Australia Bayes Theorem Understanding how dynamic environmental processes influence the distributions of top-order predators is fundamental to assess top-down effects on ecosystems. Tiger sharks (Galeocerdo cuvier) are a large top-predator that can trigger trophic cascades and structure communities. However, the dynamic physical processes that influence the distributions of these animals in coastal systems are largely unknown. Here, we assess the environmental processes influencing tiger shark movements in the inverse estuary of Shark Bay, Western Australia, a shallow coastal embayment with salinities consistently above that of the adjacent ocean. We applied Bayesian generalized linear mixed-effects models to generate dynamic predictions of suitable habitat for tiger sharks in this region. These habitats were associated with dense and shallow seagrass beds and largely reflected the spatial variability of hypersaline water ( |
| format | Artículo científico |
| id | pubmed_40133394 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Scientific reports |
| record_format | pubmed |
| spellingShingle | Salinity drives the distribution of a top-order predator, the tiger shark (Galeocerdo cuvier), in an inverse estuary. D'Antonio, Ben Meekan, Mark Ferreira, Luciana C Taylor, Michael D Pattiaratchi, Charitha B Sequeira, Ana M M Animals Sharks Estuaries Salinity Predatory Behavior Ecosystem Western Australia Bayes Theorem Salinity drives the distribution of a top-order predator, the tiger shark (Galeocerdo cuvier), in an inverse estuary. D'Antonio, Ben Meekan, Mark Ferreira, Luciana C Taylor, Michael D Pattiaratchi, Charitha B Sequeira, Ana M M Animals Sharks Estuaries Salinity Predatory Behavior Ecosystem Western Australia Bayes Theorem Understanding how dynamic environmental processes influence the distributions of top-order predators is fundamental to assess top-down effects on ecosystems. Tiger sharks (Galeocerdo cuvier) are a large top-predator that can trigger trophic cascades and structure communities. However, the dynamic physical processes that influence the distributions of these animals in coastal systems are largely unknown. Here, we assess the environmental processes influencing tiger shark movements in the inverse estuary of Shark Bay, Western Australia, a shallow coastal embayment with salinities consistently above that of the adjacent ocean. We applied Bayesian generalized linear mixed-effects models to generate dynamic predictions of suitable habitat for tiger sharks in this region. These habitats were associated with dense and shallow seagrass beds and largely reflected the spatial variability of hypersaline water ( |
| title | Salinity drives the distribution of a top-order predator, the tiger shark (Galeocerdo cuvier), in an inverse estuary. |
| topic | Animals Sharks Estuaries Salinity Predatory Behavior Ecosystem Western Australia Bayes Theorem |
| url | https://pubmed.ncbi.nlm.nih.gov/40133394/ |