Models of natural pest control : Towards predictions across agricultural landscapes

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Alexandridis , N , Marion , G , Chaplin-Kramer , R , Dainese , M , Ekroos , J , Grab , H , Jonsson , M , Karp , D S , Meyer , C , O'Rourke , M E , Pontarp , M , Poveda , K , Seppelt , R , Smith , H G , Martin , E A & Clough , Y 2021 , ' Models of natural pest control : Towards predictions across agricultural landscapes ' , Biological Control , vol. 163 , 104761 . https://doi.org/10.1016/j.biocontrol.2021.104761

Title: Models of natural pest control : Towards predictions across agricultural landscapes
Author: Alexandridis, Nikolaos; Marion, Glenn; Chaplin-Kramer, Rebecca; Dainese, Matteo; Ekroos, Johan; Grab, Heather; Jonsson, Mattias; Karp, Daniel S.; Meyer, Carsten; O'Rourke, Megan E.; Pontarp, Mikael; Poveda, Katja; Seppelt, Ralf; Smith, Henrik G.; Martin, Emily A.; Clough, Yann
Other contributor: University of Helsinki, Department of Agricultural Sciences

Date: 2021-11
Language: eng
Number of pages: 11
Belongs to series: Biological Control
ISSN: 1049-9644
DOI: https://doi.org/10.1016/j.biocontrol.2021.104761
URI: http://hdl.handle.net/10138/335028
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.
Subject: Crop
Ecological modelling
Land use
Landscape
Natural control
Pest
LINYPHIID SPIDERS
BIODIVERSITY
DIVERSITY
DYNAMICS
SIMULATION
COMPLEXITY
PREDATORS
HABITATS
PATTERNS
SERVICES
4111 Agronomy
11832 Microbiology and virology
1181 Ecology, evolutionary biology
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