期刊
GLOBAL CHANGE BIOLOGY
卷 29, 期 7, 页码 1715-1728出版社
WILEY
DOI: 10.1111/gcb.16615
关键词
agriculture; biodiversity conservation; functional traits; grain; insect declines; resolution; scale; species distribution models; urbanization
Understanding the impacts of land use on biodiversity is crucial for ecology and conservation science. A new analytical framework combining niche models, multi-grain analyses, and species traits was proposed to assess the effects of agriculture and urbanization on Italian butterflies. The study found scale-dependent and pervasive impacts, with agriculture and urbanization negatively affecting small butterflies and those with short flight curve. The research highlights the importance of considering large-scale patterns in land use for effective conservation efforts.
Understanding how species respond to human activities is paramount to ecology and conservation science, one outstanding question being how large-scale patterns in land use affect biodiversity. To facilitate answering this question, we propose a novel analytical framework that combines environmental niche models, multi-grain analyses, and species traits. We illustrate the framework capitalizing on the most extensive dataset compiled to date for the butterflies of Italy (106,514 observations for 288 species), assessing how agriculture and urbanization have affected biodiversity of these taxa from landscape to regional scales (3-48 km grains) across the country while accounting for its steep climatic gradients. Multiple lines of evidence suggest pervasive and scale-dependent effects of land use on butterflies in Italy. While land use explained patterns in species richness primarily at grains & LE;12 km, idiosyncratic responses in species highlighted winners and losers across human-dominated regions. Detrimental effects of agriculture and urbanization emerged from landscape (3-km grain) to regional (48-km grain) scales, disproportionally affecting small butterflies and butterflies with a short flight curve. Human activities have therefore reorganized the biogeography of Italian butterflies, filtering out species with poor dispersal capacity and narrow niche breadth not only from local assemblages, but also from regional species pools. These results suggest that global conservation efforts neglecting large-scale patterns in land use risk falling short of their goals, even for taxa typically assumed to persist in small natural areas (e.g., invertebrates). Our study also confirms that consideration of spatial scales will be crucial to implementing effective conservation actions in the Post-2020 Global Biodiversity Framework. In this context, applications of the proposed analytical framework have broad potential to identify which mechanisms underlie biodiversity change at different spatial scales.
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