A model of crop diversification under labor shocks

PLoS One. 2020 Mar 3;15(3):e0229774. doi: 10.1371/journal.pone.0229774. eCollection 2020.

Abstract

As demands on agriculture increase, food producers will need to employ management strategies that not only increase yields but reduce environmental impacts. Modeling is a powerful tool for informing decision-making about current and future practices. We present a model to evaluate the effects of crop diversification on the robustness of simulated farms under labor shocks. We use an example inspired by the Florida production system of high-value, labor-intensive fruits. We find that crop diversification to high-value crops is a robust strategy when labor shocks are mild, and that crop diversification becomes less valuable as more simulated farms practice it. Based on our results, we suggest that crop diversification is a useful management strategy under specific conditions, but that policies designed to encourage crop diversification must consider broad effects as well as farm-level benefits.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Conservation of Natural Resources / economics
  • Conservation of Natural Resources / methods
  • Crop Production / economics
  • Crop Production / organization & administration*
  • Crop Production / statistics & numerical data
  • Crops, Agricultural / economics
  • Decision Making
  • Decision Support Techniques*
  • Employment / economics
  • Employment / statistics & numerical data
  • Farms / economics
  • Farms / organization & administration*
  • Farms / statistics & numerical data
  • Feasibility Studies
  • Florida
  • Models, Organizational*
  • Workforce / economics
  • Workforce / statistics & numerical data

Grants and funding

This material is based upon work supported by the National Science Foundation Graduate Research Fellowship (https://www.nsfgrfp.org), awarded to A.A. Beal Cohen, under Grant No. DGE-1315138 and DGE-1842473. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.