PeerJ | |
Mapping seahorses in a Brazilian estuary: mangrove structures as key predictors for distribution and habitat preference | |
article | |
Anna Karolina Martins Borges1  Rômulo Romeu Nóbrega Alves1  Tacyana Pereira Ribeiro Oliveira1  | |
[1] Programa de Pós-Graduação em Etnobiologia e Conservação da Natureza, Universidade Federal Rural de Pernambuco;LAPEC—Laboratório de Peixes e Conservação Marinha, Universidade Estadual da Paraíba;Departamento de Biologia, Universidade Estadual da Paraíba;Centro de Ciências Biológicas e Sociais Aplicadas, Universidade Estadual da Paraíba;International Union for Conservation of Nature ,(IUCN) Species Survival Commission, Seahorse, Pipefish and Seadragon Specialist Group | |
关键词: Syngnathids; Longsnout seahorse; Hippocampus reidi; Mangrove; Conservation; | |
DOI : 10.7717/peerj.15730 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Inra | |
【 摘 要 】
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.
【 授权许可】
CC BY
【 预 览 】
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RO202307100001774ZK.pdf | 20700KB | download |