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The effectiveness of flower strips and hedgerows on pest control, pollination services and crop yield: a quantitative synthesis
Version 2 2023-06-07, 08:52
Version 1 2023-06-07, 07:33
journal contribution
posted on 2023-06-07, 08:52 authored by Matthias Albrecht, David Kleijn, Neal M Williams, Matthias Tschumi, Brett R Blaauw, Riccardo Bommarco, Alistair J Campbell, Matteo Dainese, Francis A Drummond, Martin H Entling, Dominik Ganser, Arjen de Groot, Dave GoulsonDave Goulson, Heather Grab, Hannah Hamilton, othersFloral plantings are promoted to foster ecological intensification of agriculture through provisioning of ecosystem services. However, a comprehensive assessment of the effectiveness of different floral plantings, their characteristics and consequences for crop yield is lacking. Here we quantified the impacts of flower strips and hedgerows on pest control (18 studies) and pollination services (17 studies) in adjacent crops in North America, Europe and New Zealand. Flower strips, but not hedgerows, enhanced pest control services in adjacent fields by 16% on average. However, effects on crop pollination and yield were more variable. Our synthesis identifies several important drivers of variability in effectiveness of plantings: pollination services declined exponentially with distance from plantings, and perennial and older flower strips with higher flowering plant diversity enhanced pollination more effectively. These findings provide promising pathways to optimise floral plantings to more effectively contribute to ecosystem service delivery and ecological intensification of agriculture in the future.
History
Publication status
- Published
File Version
- Published version
Journal
Ecology LettersISSN
1461-023XPublisher
WileyExternal DOI
Issue
10Volume
23Page range
1488-1498Department affiliated with
- Evolution, Behaviour and Environment Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2020-07-16First Open Access (FOA) Date
2020-08-19First Compliant Deposit (FCD) Date
2020-08-19Usage metrics
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