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Mapping seahorses in a Brazilian estuary: mangrove structures as key predictors for distribution and habitat preference
Planning for effective conservation demands an accurate understanding of the ecological aspects of species, particularly their distribution and habitat preferences. This is even more critical in the case of data-poor, rare, and threatened species, such as seahorses, mainly when they inhabit vulnerab...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363342/ https://www.ncbi.nlm.nih.gov/pubmed/37489120 http://dx.doi.org/10.7717/peerj.15730 |
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author | Borges, Anna Karolina Martins Alves, Rômulo Romeu Nóbrega Oliveira, Tacyana Pereira Ribeiro |
author_facet | Borges, Anna Karolina Martins Alves, Rômulo Romeu Nóbrega Oliveira, Tacyana Pereira Ribeiro |
author_sort | Borges, Anna Karolina Martins |
collection | PubMed |
description | Planning for effective conservation demands an accurate understanding of the ecological aspects of species, particularly their distribution and habitat preferences. This is even more critical in the case of data-poor, rare, and threatened species, such as seahorses, mainly when they inhabit vulnerable ecosystems like estuaries. Given the importance of better understanding these parameters to design seahorse conservation strategies, we mapped the distribution and assessed habitat preferences of longsnout seahorses (Hippocampus reidi) in a mangrove estuary in a Brazilian protected area. Using generalised linear mixed-effects models we found that dense mangrove cover macro-habitats and shallow depths predicted seahorse sightings and higher densities. Furthermore, the selective index of micro-habitats used by seahorses showed that seahorses exhibited a preference for mangrove structures as holdfasts (i.e., fallen branches). Due to the significant importance of mangroves in providing suitable habitats for H. reidi in estuaries, it is crucial to enforce the protection of these ecosystems in conservation and management strategies for the species. |
format | Online Article Text |
id | pubmed-10363342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103633422023-07-24 Mapping seahorses in a Brazilian estuary: mangrove structures as key predictors for distribution and habitat preference Borges, Anna Karolina Martins Alves, Rômulo Romeu Nóbrega Oliveira, Tacyana Pereira Ribeiro PeerJ Biodiversity Planning for effective conservation demands an accurate understanding of the ecological aspects of species, particularly their distribution and habitat preferences. This is even more critical in the case of data-poor, rare, and threatened species, such as seahorses, mainly when they inhabit vulnerable ecosystems like estuaries. Given the importance of better understanding these parameters to design seahorse conservation strategies, we mapped the distribution and assessed habitat preferences of longsnout seahorses (Hippocampus reidi) in a mangrove estuary in a Brazilian protected area. Using generalised linear mixed-effects models we found that dense mangrove cover macro-habitats and shallow depths predicted seahorse sightings and higher densities. Furthermore, the selective index of micro-habitats used by seahorses showed that seahorses exhibited a preference for mangrove structures as holdfasts (i.e., fallen branches). Due to the significant importance of mangroves in providing suitable habitats for H. reidi in estuaries, it is crucial to enforce the protection of these ecosystems in conservation and management strategies for the species. PeerJ Inc. 2023-07-20 /pmc/articles/PMC10363342/ /pubmed/37489120 http://dx.doi.org/10.7717/peerj.15730 Text en ©2023 Borges et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Biodiversity Borges, Anna Karolina Martins Alves, Rômulo Romeu Nóbrega Oliveira, Tacyana Pereira Ribeiro Mapping seahorses in a Brazilian estuary: mangrove structures as key predictors for distribution and habitat preference |
title | Mapping seahorses in a Brazilian estuary: mangrove structures as key predictors for distribution and habitat preference |
title_full | Mapping seahorses in a Brazilian estuary: mangrove structures as key predictors for distribution and habitat preference |
title_fullStr | Mapping seahorses in a Brazilian estuary: mangrove structures as key predictors for distribution and habitat preference |
title_full_unstemmed | Mapping seahorses in a Brazilian estuary: mangrove structures as key predictors for distribution and habitat preference |
title_short | Mapping seahorses in a Brazilian estuary: mangrove structures as key predictors for distribution and habitat preference |
title_sort | mapping seahorses in a brazilian estuary: mangrove structures as key predictors for distribution and habitat preference |
topic | Biodiversity |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363342/ https://www.ncbi.nlm.nih.gov/pubmed/37489120 http://dx.doi.org/10.7717/peerj.15730 |
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