Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 409586
Title Agricultural intensification and biodiversity partitioning in European landscapes comparing plants, carabids, and birds
Author(s) Flohre, A.; Fischer, C.; Aavik, T.; Bengtson, J.; Berendse, F.; Geiger, F.
Source Ecological Applications 21 (2011)5. - ISSN 1051-0761 - p. 1772 - 1781.
Department(s) Nature Conservation and Plant Ecology
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) different spatial scales - land-use intensity - species-diversity - beta-diversity - farmland biodiversity - organic agriculture - biological-control - gamma-diversity - alpha-diversity - margin strips
Abstract Effects of agricultural intensification (AI) on biodiversity are often assessed on the plot scale, although processes determining diversity also operate on larger spatial scales. Here, we analyzed the diversity of vascular plants, carabid beetles, and birds in agricultural landscapes in cereal crop fields at the field (n = 1350), farm (n = 270), and European-region (n = 9) scale. We partitioned diversity into its additive components a, ß, and ¿, and assessed the relative contribution of ß diversity to total species richness at each spatial scale. AI was determined using pesticide and fertilizer inputs, as well as tillage operations and categorized into low, medium, and high levels. As AI was not significantly related to landscape complexity, we could disentangle potential AI effects on local vs. landscape community homogenization. AI negatively affected the species richness of plants and birds, but not carabid beetles, at all spatial scales. Hence, local AI was closely correlated to ß diversity on larger scales up to the farm and region level, and thereby was an indicator of farm- and region-wide biodiversity losses. At the scale of farms (12.83–20.52%) and regions (68.34–80.18%), ß diversity accounted for the major part of the total species richness for all three taxa, indicating great dissimilarity in environmental conditions on larger spatial scales. For plants, relative importance of a diversity decreased with AI, while relative importance of ß diversity on the farm scale increased with AI for carabids and birds. Hence, and in contrast to our expectations, AI does not necessarily homogenize local communities, presumably due to the heterogeneity of farming practices. In conclusion, a more detailed understanding of AI effects on diversity patterns of various taxa and at multiple spatial scales would contribute to more efficient agri-environmental schemes in agroecosystems
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