Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Porträtt av Henrik Smith. Foto.

Henrik Smith

Professor

Porträtt av Henrik Smith. Foto.

Models of natural pest control : Towards predictions across agricultural landscapes

Författare

  • Nikolaos Alexandridis
  • Glenn Marion
  • Rebecca Chaplin-Kramer
  • Matteo Dainese
  • Johan Ekroos
  • Heather Grab
  • Mattias Jonsson
  • Daniel S. Karp
  • Carsten Meyer
  • Megan E. O'Rourke
  • Mikael Pontarp
  • Katja Poveda
  • Ralf Seppelt
  • Henrik G. Smith
  • Emily A. Martin
  • Yann Clough

Summary, in English

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.

Avdelning/ar

  • Biodiversitet och bevarandevetenskap
  • BECC: Biodiversity and Ecosystem services in a Changing Climate
  • Centrum för miljö- och klimatvetenskap (CEC)
  • Teoretisk populationsekologi och evolution
  • Evolutionär ekologi
  • Biodiversitet

Publiceringsår

2021-09-03

Språk

Engelska

Publikation/Tidskrift/Serie

Biological Control

Volym

163

Dokumenttyp

Artikel i tidskrift

Förlag

Elsevier

Ämne

  • Ecology

Nyckelord

  • Crop
  • Ecological modelling
  • Land use
  • Landscape
  • Natural control
  • Pest

Status

Published

Forskningsgrupp

  • Biodiversity and Conservation Science
  • Theoretical Population Ecology and Evolution Group

ISBN/ISSN/Övrigt

  • ISSN: 1049-9644