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The importance of landscape composition for pest control and crop yield: A global quantitative synthesis

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DataCite Commons2026-01-29 更新2026-04-25 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.9ghx3ffwg
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资源简介:
Using a global structural equation model of 116 studies from 28 countries, we tested three hypotheses: The ‘natural enemy hypothesis’, that natural areas increase natural enemies and suppress pests; the ‘resource concentration hypothesis’, that simplified agriculture increases pests;  and the ‘agronomic quality hypothesis’ with a structural equation model. This repository contains the dataset and R script for the analysis that examines how landscape composition directly and indirectly affects crop yield, mediated through natural enemies, biological control, and pests, across multiple studies using a structural equation model.
提供机构:
Dryad
创建时间:
2025-10-03
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