Institut de Ciències del Mar (ICM-CSIC), P. Marítim de la Barceloneta, 37-49, 08003, Barcelona, Spain; Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, University of Barcelona, Av. Diagonal 643, 08028, Barcelona, Spain.
Instituto Español de Oceanografía, Centro Oceanográfico de Vigo. Subida a Radio Faro, 50-52, 36202, Vigo, Pontevedra, Spain.
Mar Environ Res. 2021 Feb;164:105227. doi: 10.1016/j.marenvres.2020.105227. Epub 2020 Dec 3.
There is a general lack of information related to the spatial structure and functioning of marine ecosystems considering seasonality. Here, we modeled the biomass distribution of eight commercial marine species in the northwestern Mediterranean Sea during winter and summer. We hypothesised that the seasonal differences of the water column and the spatial heterogeneity of oceanographic conditions in the study area could result in seasonal variations on the species biomass distributions. We employed a Bayesian hierarchical species distribution modelling approach (B-SDM) with data from two experimental trawl surveys to analyse which are the significant drivers in each season. Our results showed that bathymetry, temperature and fishing patterns are important variables explaining the species spatial biomass distributions. Furthermore, we found seasonal differentiation in the spatial distribution of biomass for all the studied species. Our results provide essential knowledge about the seasonal distributions of key species in the Mediterranean Sea, with important management implications.
由于缺乏有关海洋生态系统季节性空间结构和功能的信息,在这里,我们对西北地中海冬季和夏季八种商业海洋物种的生物量分布进行了建模。我们假设,水柱的季节性差异和研究区域海洋条件的空间异质性可能导致物种生物量分布的季节性变化。我们使用贝叶斯分层物种分布模型(B-SDM)方法和两次拖网调查的数据进行分析,以确定每个季节的重要驱动因素。结果表明,水深、温度和捕捞模式是解释物种空间生物量分布的重要变量。此外,我们还发现所有研究物种的生物量空间分布都存在季节性差异。我们的研究结果为地中海关键物种的季节性分布提供了重要的知识,对管理具有重要意义。