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A framework for capturing farm-scale variation in process-based simulations for agroecosystem resilience

Author

Listed:
  • Metcalfe, Helen
  • Coleman, Kevin
  • Zhang, Yusheng
  • Dixit, Prakash N
  • Saeed, Sana
  • Mead, Andrew
  • Collins, Adrian L

Abstract

Agroecosystem models typically simulate average conditions in fields or over a gridded landscape. This approach overlooks the spatial variation that shapes resilience at the farm scale. Yet, this variation can strongly influence production and regulating services, and their robustness to stresses. We developed a model-independent five-step framework for capturing farm-scale variation in process-based simulations for agroecosystem resilience. The framework comprises: 1) data acquisition; 2) data processing; 3) simulation; 4) output sampling, and 5) analysis and interpretation.

Suggested Citation

  • Metcalfe, Helen & Coleman, Kevin & Zhang, Yusheng & Dixit, Prakash N & Saeed, Sana & Mead, Andrew & Collins, Adrian L, 2026. "A framework for capturing farm-scale variation in process-based simulations for agroecosystem resilience," Ecological Modelling, Elsevier, vol. 513(C).
    • Handle: RePEc:eee:ecomod:v:513:y:2026:i:c:s0304380025004181
    DOI: 10.1016/j.ecolmodel.2025.111432
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