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Models of natural pest control: Towards predictions across agricultural landscapes

Alexandridis, Nikolaos and Marion, Glenn and Chaplin-Kramer, Rebecca and Dainese, Matteo and Ekroos, Johan and Grab, Heather and Jonsson, Mattias and Karp, Daniel S. and Meyer, Carsten and O'Rourke, Megan E. and Pontarp, Mikael and Poveda, Katja and Seppelt, Ralf and Smith, Henrik G. and Martin, Emily A. and Clough, Yann (2021). Models of natural pest control: Towards predictions across agricultural landscapes. Biological Control. 163 , 104761
[Article Review/Survey]

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Abstract

Natural control of invertebrate crop pests has the potential to complement or replace conventional insecticide based practices, but its mainstream application is hampered by predictive unreliability across agroecosystems. Inconsistent responses of natural pest control to changes in landscape characteristics have been attributed to ecological complexity and system-specific conditions. Here, we review agroecological models and their potential to provide predictions of natural pest control across agricultural landscapes. Existing models have used a multitude of techniques to represent specific crop-pest-enemy systems at various spatiotemporal scales, but less wealthy regions of the world are underrepresented. A realistic representation of natural pest control across systems appears to be hindered by a practical trade-off between generality and realism. Nonetheless, observations of context-sensitive, trait-mediated responses of natural pest control to land-use gradients indicate the potential of ecological models that explicitly represent the underlying mechanisms. We conclude that modelling natural pest control across agroecosystems should exploit existing mechanistic techniques towards a framework of contextually bound generalizations. Observed similarities in causal relationships can inform the functional grouping of diverse agroecosystems worldwide and the development of the respective models based on general, but context-sensitive, ecological mechanisms. The combined use of qualitative and quantitative techniques should allow the flexible integration of empirical evidence and ecological theory for robust predictions of natural pest control across a wide range of agroecological contexts and levels of knowledge availability. We highlight challenges and promising directions towards developing such a general modelling framework.

Authors/Creators:Alexandridis, Nikolaos and Marion, Glenn and Chaplin-Kramer, Rebecca and Dainese, Matteo and Ekroos, Johan and Grab, Heather and Jonsson, Mattias and Karp, Daniel S. and Meyer, Carsten and O'Rourke, Megan E. and Pontarp, Mikael and Poveda, Katja and Seppelt, Ralf and Smith, Henrik G. and Martin, Emily A. and Clough, Yann
Title:Models of natural pest control: Towards predictions across agricultural landscapes
Series Name/Journal:Biological Control
Year of publishing :2021
Volume:163
Article number:104761
Number of Pages:11
Publisher:ACADEMIC PRESS INC ELSEVIER SCIENCE
ISSN:1049-9644
Language:English
Publication Type:Article Review/Survey
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Ecology
Keywords:Crop, Ecological modelling, Land use, Landscape, Natural control, Pest
URN:NBN:urn:nbn:se:slu:epsilon-p-113865
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-113865
Additional ID:
Type of IDID
DOI10.1016/j.biocontrol.2021.104761
Web of Science (WoS)000700603300011
ID Code:25612
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Ecology
(S) > Dept. of Ecology
Deposited By: SLUpub Connector
Deposited On:08 Oct 2021 08:25
Metadata Last Modified:08 Oct 2021 08:31

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