# 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

## TL;DR

This study investigates how the spatial scale affects the analysis of lagoon biodiversity, emphasizing the importance of scale in monitoring and conserving macrobenthic communities in transitional water ecosystems.

## Contribution

It introduces a statistical protocol to assess the impact of spatial aggregation levels on biodiversity analysis using entropy indices and mixed effects models.

## Key findings

- Sample coverage varies with spatial aggregation levels.
- Entropy indices are influenced by biotic and abiotic factors.
- Biodiversity partitioning depends on the definition of local communities.

## Abstract

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.

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Source: https://tomesphere.com/paper/1705.08670