Predicting Landscape Configuration Effects on Agricultural Pest Suppression

Nathan L. Haan; Yajun Zhang; Douglas A. Landis

doi:10.1016/j.tree.2019.10.003

Predicting Landscape Configuration Effects on Agricultural Pest Suppression

Nathan L. Haan, Yajun Zhang, Douglas A. Landis

Entomology

Research output: Contribution to journal › Review article › peer-review

173 Scopus citations

Abstract

Arthropod predators and parasitoids attack crop pests, providing a valuable ecosystem service. The amount of noncrop habitat surrounding crop fields influences pest suppression, but synthesis of new studies suggests that the spatial configuration of crops and other habitats is similarly important. Natural enemies are often more abundant in fine-grained agricultural landscapes comprising smaller patches and can increase or decrease with the connectivity of crop fields to other habitats. Partitioning organisms by traits has emerged as a promising way to predict the strength and direction of these effects. Furthermore, our ability to predict configurational effects will depend on understanding the potential for indirect effects among trophic levels and the relationship between arthropod dispersal capability and the spatial scale of underlying landscape structure.

Original language	English
Pages (from-to)	175-186
Number of pages	12
Journal	Trends in Ecology and Evolution
Volume	35
Issue number	2
DOIs	https://doi.org/10.1016/j.tree.2019.10.003
State	Published - Feb 2020

Bibliographical note

Publisher Copyright:
© 2019 The Authors

Funding

We thank R. Isaacs and three anonymous reviewers for comments on this manuscript. Support for this research was provided by the Great Lakes Bioenergy Research Center, U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research (Awards DE-SC0018409 and DE-FC02-07ER64494), by the National Science Foundation Long-term Ecological Research Program (DEB 1832042) at the Kellogg Biological Station, and by Michigan State University AgBioResearch. We thank R. Isaacs and three anonymous reviewers for comments on this manuscript. Support for this research was provided by the Great Lakes Bioenergy Research Center , U.S. Department of Energy , Office of Science , Office of Biological and Environmental Research (Awards DE-SC0018409 and DE-FC02-07ER64494 ), by the National Science Foundation Long-term Ecological Research Program ( DEB 1832042 ) at the Kellogg Biological Station, and by Michigan State University AgBioResearch.

Funders	Funder number
Great Lakes Bioenergy Research Center
Kellogg Biological Station
Michigan State University AgBioResearch
National Science Foundation Long-term Ecological Research Program	DEB 1832042
Office of Biological and Environmental Research	DE-SC0018409, DE-FC02-07ER64494
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China	1832042
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China
U.S. Department of Energy Oak Ridge National Laboratory U.S. Department of Energy National Science Foundation National Energy Research Scientific Computing Center
National Science Foundation Office of International Science and Engineering
Michigan State University AgBioResearch

Keywords

agroecosystems
insect ecology
landscape configuration
landscape ecology
pest suppression

ASJC Scopus subject areas

Ecology, Evolution, Behavior and Systematics

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10.1016/j.tree.2019.10.003

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title = "Predicting Landscape Configuration Effects on Agricultural Pest Suppression",

abstract = "Arthropod predators and parasitoids attack crop pests, providing a valuable ecosystem service. The amount of noncrop habitat surrounding crop fields influences pest suppression, but synthesis of new studies suggests that the spatial configuration of crops and other habitats is similarly important. Natural enemies are often more abundant in fine-grained agricultural landscapes comprising smaller patches and can increase or decrease with the connectivity of crop fields to other habitats. Partitioning organisms by traits has emerged as a promising way to predict the strength and direction of these effects. Furthermore, our ability to predict configurational effects will depend on understanding the potential for indirect effects among trophic levels and the relationship between arthropod dispersal capability and the spatial scale of underlying landscape structure.",

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author = "Haan, \{Nathan L.\} and Yajun Zhang and Landis, \{Douglas A.\}",

note = "Publisher Copyright: {\textcopyright} 2019 The Authors",

year = "2020",

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language = "English",

volume = "35",

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AU - Landis, Douglas A.

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N2 - Arthropod predators and parasitoids attack crop pests, providing a valuable ecosystem service. The amount of noncrop habitat surrounding crop fields influences pest suppression, but synthesis of new studies suggests that the spatial configuration of crops and other habitats is similarly important. Natural enemies are often more abundant in fine-grained agricultural landscapes comprising smaller patches and can increase or decrease with the connectivity of crop fields to other habitats. Partitioning organisms by traits has emerged as a promising way to predict the strength and direction of these effects. Furthermore, our ability to predict configurational effects will depend on understanding the potential for indirect effects among trophic levels and the relationship between arthropod dispersal capability and the spatial scale of underlying landscape structure.

AB - Arthropod predators and parasitoids attack crop pests, providing a valuable ecosystem service. The amount of noncrop habitat surrounding crop fields influences pest suppression, but synthesis of new studies suggests that the spatial configuration of crops and other habitats is similarly important. Natural enemies are often more abundant in fine-grained agricultural landscapes comprising smaller patches and can increase or decrease with the connectivity of crop fields to other habitats. Partitioning organisms by traits has emerged as a promising way to predict the strength and direction of these effects. Furthermore, our ability to predict configurational effects will depend on understanding the potential for indirect effects among trophic levels and the relationship between arthropod dispersal capability and the spatial scale of underlying landscape structure.

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KW - insect ecology

KW - landscape configuration

KW - landscape ecology

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Predicting Landscape Configuration Effects on Agricultural Pest Suppression

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

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