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Assessing the role of the spatial scale in the analysis of lagoon biodiversity. A case-study on the macrobenthic fauna of the Po River Delta

机译:评估空间尺度在泻湖生物多样性分析中的作用。 the河三角洲大型底栖动物的案例研究

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摘要

The analysis of benthic assemblages is a valuable tool to describe the ecological status of transitional water ecosystems, but species are extremely sensitive and respond to both microhabitat and seasonal differences. The identification of changes in the composition of the macrobenthic community in specific microhabitats can then be used as an “early warning” for environmental changes which may affect the economic and ecological importance of lagoons, through their provision of Ecosystem Services. From a conservational point of view, the appropriate definition of the spatial aggregation level of microhabitats or local communities is of crucial importance. The main objective of this work is to assess the role of the spatial scale in the analysis of lagoon biodiversity. First, we analyze the variation in the sample coverage for alternative aggregations of the monitoring stations in three lagoons of the Po River Delta. Then, we analyze the variation of a class of entropy indices by mixed effects models, properly accounting for the fixed effects of biotic and abiotic factors and random effects ruled by nested sources of variability corresponding to alternative definitions of local communities. Finally, we address biodiversity partitioning by a generalized diversity measure, namely the Tsallis entropy, and for alternative definitions of the local communities. The main results obtained by the proposed statistical protocol are presented, discussed and framed in the ecological context.
机译:底栖动物的组合分析是描述过渡水生态系统生态状况的有价值的工具,但物种极为敏感,对微生境和季节差异都做出了反应。然后,通过确定特定生态环境中大型底栖动物群落组成的变化,可以通过提供生态系统服务,对可能影响泻湖的经济和生态重要性的环境变化发出“预警”。从保护的角度来看,适当定义微生境或当地社区的空间聚集水平至关重要。这项工作的主要目的是评估空间尺度在泻湖生物多样性分析中的作用。首先,我们分析了River河三角洲三个泻湖中监测站替代集结的样本覆盖范围的变化。然后,我们通过混合效应模型分析一类熵指标的变化,适当地考虑了生物和非生物因子的固定效应以及由嵌套的可变性源(与局部社区的替代定义相对应)统治的随机效应。最后,我们通过广义多样性测度(即Tsallis熵)以及当地社区的替代定义来解决生物多样性的划分。通过提出的统计协议获得的主要结果将在生态环境中进行介绍,讨论和框架化。

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