Biotic stress and yield stability in English organic silvoarable agroforestry

Abstract In-field trees are thought to buffer arable crops from climate extremes through the creation of microclimates that may reduce the impacts of heat, wind, and cold. Much less is known about how trees and their biotic interactions (e.g. with natural enemies of pests and wild understory plants) impact crop yield stability to biotic stresses such as crop pests and disease. Modelling these interactions using conventional approaches is complex and time consuming, and we take a simplified approach, representing the agroecosystem as a Boolean regulatory network and parameterising Boolean functions using expert opinion. This allies our approach with decision analysis, which is increasingly finding applications in agriculture. Despite the naivety of our model, we demonstrate that it outputs complex and realistic agroecosystem dynamics. It predicts that, in English silvoarable, the biotic interactions of in-field trees boost arable crop yield overall, but they do not increase yield stability to biotic stress. Sensitivity analysis shows that arable crop yield is very sensitive to disease and weeds. We suggest that the focus of studies and debate on ecosystem service provision by English agroforestry needs to shift from natural enemies and pests to these ecosystem components. We discuss how our model can be improved through validation and parameterisation using real field data. Finally, we discuss how our approach can be used to rapidly model systems (agricultural or otherwise) than can be represented as dynamic interaction networks.

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Publication Details

Journal
Agronomy for Sustainable Development
Published
2024-10-01
DOI
https://doi.org/10.1007/s13593-024-00979-z
Citations
4
Primary Topic
Agroforestry and silvopastoral systems
Type
article
Field-Weighted Citation Impact
8.28

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article

Biotic stress and yield stability in English organic silvoarable agroforestry

Tom Staton, Colin R. Tosh, Ambrogio Costanzo, William D. Simonson
4 citations
Agronomy for Sustainable Development
Agroforestry and silvopastoral systems
8.28
article

Biotic stress and yield stability in English organic silvoarable agroforestry

Tom Staton, Colin R. Tosh, Ambrogio Costanzo, William D. Simonson
article en
4 citations

Abstract

Abstract In-field trees are thought to buffer arable crops from climate extremes through the creation of microclimates that may reduce the impacts of heat, wind, and cold. Much less is known about how trees and their biotic interactions (e.g. with natural enemies of pests and wild understory plants) impact crop yield stability to biotic stresses such as crop pests and disease. Modelling these interactions using conventional approaches is complex and time consuming, and we take a simplified approach, representing the agroecosystem as a Boolean regulatory network and parameterising Boolean functions using expert opinion. This allies our approach with decision analysis, which is increasingly finding applications in agriculture. Despite the naivety of our model, we demonstrate that it outputs complex and realistic agroecosystem dynamics. It predicts that, in English silvoarable, the biotic interactions of in-field trees boost arable crop yield overall, but they do not increase yield stability to biotic stress. Sensitivity analysis shows that arable crop yield is very sensitive to disease and weeds. We suggest that the focus of studies and debate on ecosystem service provision by English agroforestry needs to shift from natural enemies and pests to these ecosystem components. We discuss how our model can be improved through validation and parameterisation using real field data. Finally, we discuss how our approach can be used to rapidly model systems (agricultural or otherwise) than can be represented as dynamic interaction networks.

Agronomy for Sustainable DevelopmentVol. 44(5)
Institut Technique de l'Agriculture Biologique (FR), Organic Research Centre (GB), University of Reading (GB)
Horizon 2020 Framework Programme
Zero hunger
Openalex Percentile: Top 3%
Agroforestry and silvopastoral systems
8.28
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