Pennino M Grazia, Zurano Juan Pablo, Hidalgo Manuel, Esteban Antonio, Veloy Carlos, Bellido José M, Coll Marta
Instituto Español de Oceanografía (IEO-CSIC), Centro Oceanográfico de Madrid, C. Del Corazón de María, 8, 28002, Madrid, Spain; Statistical Modeling Ecology Group (SMEG), Spain.
Instituto de Biología Subtropical, CONICET- Universidad Nacional de Misiones (UNaM), Puerto Iguazú, Argentina.
Mar Environ Res. 2024 Mar;195:106347. doi: 10.1016/j.marenvres.2024.106347. Epub 2024 Jan 10.
Understanding the spatial dynamics of biodiversity is an essential issue in marine ecology and requires combining information at local and regional scales. β-diversity is an important measure of biodiversity that informs on the differences in community composition between sites and, thus, in the species turnover in the community structure. In this study, we analysed and predicted the spatial patterns of β-diversity for fishes, invertebrates and the demersal assemblage along the Iberian Mediterranean coast. We used Bayesian Bootstrap Generalized Dissimilarity Models (BBGDMs) to study the effects of environment and human pressures on the β-diversity of invertebrate, fishes and the entire demersal assemblage from 1994 to 2015 using different time windows to account for temporal variability. Then, we used these relationships to predict the spatial patterns of β-diversity in the whole Iberian Mediterranean coast. Our results highlighted that the regional spatial patterns of β-diversity were best described by bathymetry and a cumulative index of coastal impacts. We identified specific regions with the highest β-diversity in the study area, which were complementary to hotspots of species richness and presented different degree of overlapping with existent marine protected areas. Overall, our study illustrates that by modelling spatial turnover using β-diversity we can better understand and predict spatial variation of biodiversity and the effects of particular variables, providing relevant information to end-users and policy makers for designing specific spatial conservation and management strategies.
了解生物多样性的空间动态是海洋生态学中的一个重要问题,需要整合局部和区域尺度的信息。β多样性是生物多样性的一项重要指标,它反映了不同地点之间群落组成的差异,进而反映了群落结构中物种的更替情况。在本研究中,我们分析并预测了伊比利亚地中海沿岸鱼类、无脊椎动物和底栖生物组合的β多样性空间格局。我们使用贝叶斯自助广义相异模型(BBGDMs),利用不同的时间窗口来考虑时间变异性,研究了1994年至2015年环境和人类压力对无脊椎动物、鱼类以及整个底栖生物组合β多样性的影响。然后,我们利用这些关系预测了整个伊比利亚地中海沿岸β多样性的空间格局。我们的结果表明,β多样性的区域空间格局最好用测深法和沿海影响累积指数来描述。我们在研究区域内确定了β多样性最高的特定区域,这些区域与物种丰富度热点地区互补,并且与现有的海洋保护区呈现出不同程度的重叠。总体而言,我们的研究表明,通过使用β多样性对空间更替进行建模,我们可以更好地理解和预测生物多样性的空间变化以及特定变量的影响,为终端用户和政策制定者设计具体的空间保护和管理策略提供相关信息。