Miyazawa Emy, Montilla Luis M, Agudo-Adriani Esteban Alejandro, Ascanio Alfredo, Mariño-Briceño Gloria, Croquer Aldo
Laboratorio de Ecología Experimental, Universidad Simón Bolivar, Caracas, Venezuela.
Integrative Marine Ecology Department, Stazione Zoologica Anton Dohrn, Naples, Italy.
PeerJ. 2020 May 4;8:e9082. doi: 10.7717/peerj.9082. eCollection 2020.
Estimating variability across spatial scales has been a major issue in ecology because the description of patterns in space is extremely valuable to propose specific hypotheses to unveil key processes behind these patterns. This paper aims to estimate the variability of the coral assemblage structure at different spatial scales in order to determine which scales explain the largest variability on β-diversity. For this, a fully-nested design including a series of hierarchical-random factors encompassing three spatial scales: (1) regions, (2) localities and (3) reefs sites across the Venezuelan territory. The variability among spatial scales was tested with a permutation-based analysis of variance (Permanova) based on Bray-Curtis index. Dispersion in species presence/absence across scales (i.e., β-diversity) was tested with a PermDisp analysis based on Jaccard's index. We found the highest variability in the coral assemblage structure between sites within localities (Pseudo- = 5.34; -value = 0.001, CV = 35.10%). We also found that longitude (Canonical corr = 0.867, = 0.001) is a better predictor of the coral assemblage structure in Venezuela, than latitude (Canonical corr = 0.552, = 0.021). Largest changes in β-diversity of corals occurred within sites ( = 2.764, df1= 35, df2 = 107, = 0.045) and within localities ( = 4.438, df1= 6, df2 = 29, = 0.026). Our results suggest that processes operating at spatial scales of hundreds of meters and hundreds of kilometers might both be critical to shape coral assemblage structure in Venezuela, whereas smaller scales (i.e., hundreds of meters) showed to be highly- important for the species turnover component of β-diversity. This result highlights the importance of creating scale-adapted management actions in Venezuela and likely across the Caribbean region.
估算空间尺度上的变异性一直是生态学中的一个主要问题,因为对空间格局的描述对于提出特定假设以揭示这些格局背后的关键过程极为重要。本文旨在估算不同空间尺度下珊瑚群落结构的变异性,以确定哪些尺度能解释β多样性的最大变异性。为此,采用了一种完全嵌套设计,其中包括一系列涵盖三个空间尺度的层次随机因素:(1)区域,(2)地点,以及(3)委内瑞拉境内的礁体地点。基于Bray-Curtis指数,通过基于置换的方差分析(Permanova)来检验空间尺度之间的变异性。基于Jaccard指数,通过PermDisp分析来检验物种在不同尺度上的存在/缺失的离散度(即β多样性)。我们发现,地点内各站点之间的珊瑚群落结构变异性最高(伪F = 5.34;P值 = 0.001,CV = 35.10%)。我们还发现,在委内瑞拉,经度(典型相关系数 = 0.867,P = 0.001)比纬度(典型相关系数 = 0.552,P = 0.021)更能预测珊瑚群落结构。珊瑚β多样性的最大变化发生在站点内(F = 2.764,df1 = 35,df2 = 107,P = 0.045)和地点内(F = 4.438,df1 = 6,df2 = 29,P = 0.026)。我们的结果表明,在数百米和数百公里空间尺度上起作用的过程可能对塑造委内瑞拉的珊瑚群落结构都至关重要,而较小尺度(即数百米)对β多样性的物种更替部分显得极为重要。这一结果凸显了在委内瑞拉乃至整个加勒比地区制定适应尺度的管理行动的重要性。