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Archetype models upscale understanding of natural pest control response to land‐use change
Control of crop pests by shifting host plant availability and natural enemy activity at landscape scales has great potential to enhance the sustainability of agriculture. However, mainstreaming natural pest control requires improved understanding of how its benefits can be realized across a variety...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078142/ https://www.ncbi.nlm.nih.gov/pubmed/35735258 http://dx.doi.org/10.1002/eap.2696 |
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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. Walters, Richard J. Clough, Yann Martin, Emily A. |
author_facet | 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. Walters, Richard J. Clough, Yann Martin, Emily A. |
author_sort | Alexandridis, Nikolaos |
collection | PubMed |
description | Control of crop pests by shifting host plant availability and natural enemy activity at landscape scales has great potential to enhance the sustainability of agriculture. However, mainstreaming natural pest control requires improved understanding of how its benefits can be realized across a variety of agroecological contexts. Empirical studies suggest significant but highly variable responses of natural pest control to land‐use change. Current ecological models are either too specific to provide insight across agroecosystems or too generic to guide management with actionable predictions. We suggest obtaining the full benefit of available empirical, theoretical, and methodological knowledge by combining trait‐mediated understanding from correlative studies with the explicit representation of causal relationships achieved by mechanistic modeling. To link these frameworks, we adapt the concept of archetypes, or context‐specific generalizations, from sustainability science. Similar responses of natural pest control to land‐use gradients across cases that share key attributes, such as functional traits of focal organisms, indicate general processes that drive system behavior in a context‐sensitive manner. Based on such observations of natural pest control, a systematic definition of archetypes can provide the basis for mechanistic models of intermediate generality that cover all major agroecosystems worldwide. Example applications demonstrate the potential for upscaling understanding and improving predictions of natural pest control, based on knowledge transfer and scientific synthesis. A broader application of this mechanistic archetype approach promises to enhance ecology's contribution to natural resource management across diverse regions and social‐ecological contexts. |
format | Online Article Text |
id | pubmed-10078142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100781422023-04-07 Archetype models upscale understanding of natural pest control response to land‐use change 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. Walters, Richard J. Clough, Yann Martin, Emily A. Ecol Appl Articles Control of crop pests by shifting host plant availability and natural enemy activity at landscape scales has great potential to enhance the sustainability of agriculture. However, mainstreaming natural pest control requires improved understanding of how its benefits can be realized across a variety of agroecological contexts. Empirical studies suggest significant but highly variable responses of natural pest control to land‐use change. Current ecological models are either too specific to provide insight across agroecosystems or too generic to guide management with actionable predictions. We suggest obtaining the full benefit of available empirical, theoretical, and methodological knowledge by combining trait‐mediated understanding from correlative studies with the explicit representation of causal relationships achieved by mechanistic modeling. To link these frameworks, we adapt the concept of archetypes, or context‐specific generalizations, from sustainability science. Similar responses of natural pest control to land‐use gradients across cases that share key attributes, such as functional traits of focal organisms, indicate general processes that drive system behavior in a context‐sensitive manner. Based on such observations of natural pest control, a systematic definition of archetypes can provide the basis for mechanistic models of intermediate generality that cover all major agroecosystems worldwide. Example applications demonstrate the potential for upscaling understanding and improving predictions of natural pest control, based on knowledge transfer and scientific synthesis. A broader application of this mechanistic archetype approach promises to enhance ecology's contribution to natural resource management across diverse regions and social‐ecological contexts. John Wiley & Sons, Inc. 2022-09-18 2022-12 /pmc/articles/PMC10078142/ /pubmed/35735258 http://dx.doi.org/10.1002/eap.2696 Text en © 2022 The Authors. Ecological Applications published by Wiley Periodicals LLC on behalf of The Ecological Society of America. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles 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. Walters, Richard J. Clough, Yann Martin, Emily A. Archetype models upscale understanding of natural pest control response to land‐use change |
title | Archetype models upscale understanding of natural pest control response to land‐use change |
title_full | Archetype models upscale understanding of natural pest control response to land‐use change |
title_fullStr | Archetype models upscale understanding of natural pest control response to land‐use change |
title_full_unstemmed | Archetype models upscale understanding of natural pest control response to land‐use change |
title_short | Archetype models upscale understanding of natural pest control response to land‐use change |
title_sort | archetype models upscale understanding of natural pest control response to land‐use change |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078142/ https://www.ncbi.nlm.nih.gov/pubmed/35735258 http://dx.doi.org/10.1002/eap.2696 |
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