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Contrasting responses of plant and insect diversity to variation in grazing intensity

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Kruess, Andreas, Tscharntke, Teja·2002·Biological Conservation

Abstract

Abstract The effects of grazing intensity on plant and insect diversity were examined in four different types of grassland (intensively and extensively cattle-grazed pastures, short-term and long-term ungrazed grassland; 24 study sites). Vegetation complexity (plant species richness, vegetation height, vegetation heterogeneity) was significantly higher on ungrazed grasslands compared to pastures but did not differ between intensively and extensively grazed pastures. However, insect species richness was higher on extensively than on intensively grazed pastures, established by suction sampling of four insect taxa (Auchenorrhyncha, Heteroptera, Coleoptera, Hymenoptera Parasitica). This may be due to intensive grazing disrupting plant–insect associations as predicted by a “trophic-level” hypothesis. Local persistence and small-scale recolonization of insects on plants appeared to be difficult in the highly disturbed environment of intensive grazing. Insect diversity increased across the four treatments in the following order: intensively grazed

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Metadata

Authors
Kruess, A., & Tscharntke, T.
Venue
Biological Conservation
Publisher
Elsevier BV
Published
2002-08
Volume
106
Issue
3
Pages
293-302
ISSN
0006-3207 (ISSN-L)
OpenAlex
W2010241687
Cited by
382
References
0
FWCI
13.53
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Contrasting responses of plant and insect diversity to variation in grazing intensity. https://app.cochat.ai/papers/10.1016/s0006-3207(01)00255-5
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Kruess, A., & Tscharntke, T. (2002). Contrasting responses of plant and insect diversity to variation in grazing intensity. Biological Conservation. https://doi.org/10.1016/s0006-3207(01)00255-5

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.