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Elsevier, Acta Oecologica, (61), p. 41-50, 2014

DOI: 10.1016/j.actao.2014.10.005

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The unusual suspect: Land use is a key predictor of biodiversity patterns in the Iberian Peninsula

Journal article published in 2014 by Inês Santos Martins ORCID, Vânia Proença, Henrique Miguel Pereira
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This paper is available in a repository.

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Abstract

Although land use change is a key driver of biodiversity change, related variables such as habitat area and habitat heterogeneity are seldom considered in modeling approaches at larger extents. To address this knowledge gap we tested the contribution of land use related variables to models describing richness patterns of amphibians, reptiles and passerines in the Iberian Peninsula. We analyzed the relationship between species richness and habitat heterogeneity at two spatial resolutions (i.e., 10 km x 10 km and 50 km x 50 km). Using both ordinary least square and simultaneous autoregressive models, we assessed the relative importance of land use variables, climate variables and topographic variables. We also compare the species area relationship with a multi-habitat model, the countryside species area relationship, to assess the role of the area of different types of habitats on species diversity across scales. The association between habitat heterogeneity and species richness varied with the taxa and spatial resolution. A positive relationship was detected for all taxa at a grain size of 10 km x 10 km, but only passerines responded at a grain size of 50 km x 50 km. Species richness patterns were well described by abiotic predictors, but habitat predictors also explained a considerable portion of the variation. Moreover, species richness patterns were better described by a multi-habitat species-area model, incorporating land use variables, than by the classic power model, which only includes area as the single explanatory variable. Our results suggest that the role of land use in shaping species richness patterns goes beyond the local scale and persists at larger spatial scales. These findings call for the need of integrating land use variables in models designed to assess species richness response to large scale environmental changes. (C) 2014 The Authors. Published by Elsevier Masson SAS. This is an open access article under the CC BY-NCSA license.