Models of natural pest control: Towards predictions across agricultural landscapes
| Autor: | Glenn Marion, Henrik G. Smith, Mattias Jonsson, Johan Ekroos, Megan E. O'Rourke, Rebecca Chaplin-Kramer, Matteo Dainese, Daniel S. Karp, Mikael Pontarp, Nikolaos Alexandridis, Heather Grab, Ralf Seppelt, Katja Poveda, Emily A. Martin, Carsten Meyer, Yann Clough |
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| Rok vydání: | 2021 |
| Předmět: |
2. Zero hunger
0106 biological sciences Generality Exploit Land use business.industry 010604 marine biology & hydrobiology Ecology (disciplines) Environmental resource management Pest control 15. Life on land Biology Ecological systems theory 010603 evolutionary biology 01 natural sciences Natural (archaeology) 13. Climate action Insect Science business Agronomy and Crop Science Agroecology |
| Zdroj: | Biological Control. 163:104761 |
| ISSN: | 1049-9644 |
| Popis: | 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. (Less) |
| Databáze: | OpenAIRE |
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