Natural enemy interactions constrain pest control in complex agricultural landscapes
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Biological control of pests by natural enemies is a major ecosystem service delivered to agriculture worldwide. Quantifying and predicting its effectiveness at large spatial scales is critical for increased sustainability of agricultural production. Landscape complexity is known to benefit natural enemies, but its effects on interactions between natural enemies and the consequences for crop damage and yield are unclear. Here, we show that pest control at the landscape scale is driven by differences in natural enemy interactions across landscapes, rather than by the effectiveness of individual natural enemy guilds. In a field exclusion experiment, pest control by flying insect enemies increased with landscape complexity. However, so did antagonistic interactions between flying insects and birds, which were neutral in simple landscapes and increasingly negative in complex landscapes. Negative natural enemy interactions thus constrained pest control in complex landscapes. These results show that, by altering natural enemy interactions, landscape complexity can provide ecosystem services as well as disservices. Careful handling of the tradeoffs among multiple ecosystem services, biodiversity, and societal concerns is thus crucial and depends on our ability to predict the functional consequences of landscape-scale changes in trophic interactions.
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Landscape structure may also alter natural enemy interactions and the stability of pest suppression.
“In addition to influencing natural enemy abundance and diversity, landscape structure may also alter natural enemy interactions and the stability of pest suppression (Martin et al., 2013; Rusch et al., 2013).”
From Agricultural landscape simplification reduces natural pest control: A quantitative synthesis (2016) · cites this paper as Martin et al., 2013
Intraguild predation between birds and flying insects can constrain pest control in complex landscapes.
“Intraguild predation between birds and flying insects, for example, has been shown to constrain pest control in complex landscapes (Martin et al., 2013).”
From Agricultural landscape simplification reduces natural pest control: A quantitative synthesis (2016) · cites this paper as Martin et al., 2013
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- Authors
- Martin, E. A., Reineking, B., Seo, B., & Steffan-Dewenter, I.
- Affiliations
- University of Würzburg (DE)
- University of Bayreuth (DE)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2013-03-19
- Volume
- 110
- Issue
- 14
- Pages
- 5534-5539
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3619341
- OpenAlex
- W1991199013
- Cited by
- 334
- References
- 37
- Citations by year
- 2026: 15 · 2025: 19 · 2024: 21 · 2023: 25 · 2022: 28 · 2021: 22 · 2020: 23 · 2019: 28 · 2018: 31 · 2017: 33 · 2016: 23 · 2015: 32 · 2014: 25 · 2013: 7
- FWCI
- 31.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- Topics
- Life Sciences › Agricultural and Biological Sciences › Insect Science › Insect-Plant Interactions and Control
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Plant and animal studies
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Keywords
- biological control, landscape complexity, pest control, birds, trophic interactions, ecosystem services, ecosystem disservices, agricultural landscapes, crop damage
- MeSH terms
- Agriculture, Animals, Birds, Insecta, Pest Control, Biological, Population Dynamics, Predatory Behavior, Linear Models, Ecosystem, Republic of Korea, Herbivory
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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