Costa Tiego L A, Pennino M Grazia, Mendes Liana F
Ocean Laboratory, Federal University of Rio Grande do Norte, Dept. of Ecology, Campus Universitário s/n, Lagoa Nova, CEP 59.098-970, Natal, RN, Brazil.
Ocean Laboratory, Federal University of Rio Grande do Norte, Dept. of Ecology, Campus Universitário s/n, Lagoa Nova, CEP 59.098-970, Natal, RN, Brazil; Instituto Español de Oceanografía, Centro Oceanográfico de Murcia, Calle Varadero 1, 30740 San Pedro del Pianatar, Murcia, Spain.
Mar Environ Res. 2017 Apr;125:1-9. doi: 10.1016/j.marenvres.2016.12.005. Epub 2016 Dec 19.
Ecological barriers are important determinants of the evolution and distributions marine organisms, and a challenge for evolutionary ecologists seeking to understand population structure in the sea. Dasyatis marianae is an endemic Brazilian species that indicates certain restrictions on its distribution probably due to marine barriers. In this study, Bayesian hierarchical spatial models, jointly with environmental and occurrence species data, are used to identify, which elements could generate these barriers on Dasyatis marianae distribution. Results show that salinity and temperature are the most important drivers that play an essential role to limit the distribution of this species. Indeed, low salinity values restrict Dasyatis marianae distribution in the north of the Brazilian coast, while in the south are colder temperatures. These results highlight the need to better define the distribution of marine species, especially for the ones affected by ecological barriers that are more sensitive to environmental changes.
生态屏障是海洋生物进化和分布的重要决定因素，对于试图了解海洋种群结构的进化生态学家来说是一项挑战。玛丽安黄貂鱼是巴西特有的物种，其分布可能受到海洋屏障的某些限制。在本研究中，贝叶斯分层空间模型与环境和物种出现数据相结合，用于确定哪些因素可能对玛丽安黄貂鱼的分布产生这些屏障。结果表明，盐度和温度是限制该物种分布的最重要驱动因素。事实上，低盐度值限制了玛丽安黄貂鱼在巴西北海岸的分布，而在南部则是温度较低。这些结果凸显了更好地界定海洋物种分布的必要性，特别是对于那些受对环境变化更为敏感的生态屏障影响的物种。
