NDLI: Disentangling direct and indirect drivers of farmland biodiversity at landscape scale (Dataset)

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Disentangling direct and indirect drivers of farmland biodiversity at landscape scale (Dataset)

Content Provider	Dryad
Author	Meier, Eliane Lüscher, Gisela Knop, Eva
Abstract	To stop the ongoing decline of farmland biodiversity there are increasing claims for a paradigm shift in agriculture, namely from conserving and restoring farmland biodiversity at field scale (α-diversity) to doing it at landscape scale (γ-diversity). However, knowledge on factors driving farmland γ-diversity is currently limited. Here, we quantified farmland γ-diversity in 123 landscapes and analysed direct and indirect effects of abiotic and land-use factors shaping it using structural equation models. The direction and strength of effects of factors shaping γ-diversity were only partially consistent with what is known about factors shaping α-diversity, and indirect effects were often stronger than direct effects or even opposite. Thus, relationships between factors shaping α-diversity cannot simply be up-scaled to γ-diversity, and also indirect effects should no longer be neglected. Finally, we show that local mitigation measures benefit farmland γ-diversity at landscape scale and are therefore a useful tool for designing biodiversity-friendly landscapes.
File Size	61650
File Format	HTM / HTML
DOI	10.5061/dryad.r7sqv9sg3
Alternate Webpage(s)	https://datadryad.org/stash/downloads/file_stream/1725362
Alternate Webpage(s)	https://datadryad.org/stash/downloads/file_stream/1725363
Language	English
Publisher Date	2022-08-15
Access Restriction	Open
Subject Keyword	Abiotic Conditions Agricultural Intensification Biodiversity Farmland Γ-diversity Landscape Design Landscape Composition Landscape Configuration Ecological Focus Area Multi-trophic Species Richness
Content Type	Text
Resource Type	Data Set

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