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A model of crop diversification under labor shocks

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 cro...

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Autores principales: Beal Cohen, Allegra A., Judge, Jasmeet, Muneepeerakul, Rachata, Rangarajan, Anand, Guan, Zhengfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053715/
https://www.ncbi.nlm.nih.gov/pubmed/32126129
http://dx.doi.org/10.1371/journal.pone.0229774
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author Beal Cohen, Allegra A.
Judge, Jasmeet
Muneepeerakul, Rachata
Rangarajan, Anand
Guan, Zhengfei
author_facet Beal Cohen, Allegra A.
Judge, Jasmeet
Muneepeerakul, Rachata
Rangarajan, Anand
Guan, Zhengfei
author_sort Beal Cohen, Allegra A.
collection PubMed
description 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.
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spelling pubmed-70537152020-03-12 A model of crop diversification under labor shocks Beal Cohen, Allegra A. Judge, Jasmeet Muneepeerakul, Rachata Rangarajan, Anand Guan, Zhengfei PLoS One Research Article 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. Public Library of Science 2020-03-03 /pmc/articles/PMC7053715/ /pubmed/32126129 http://dx.doi.org/10.1371/journal.pone.0229774 Text en © 2020 Beal Cohen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Beal Cohen, Allegra A.
Judge, Jasmeet
Muneepeerakul, Rachata
Rangarajan, Anand
Guan, Zhengfei
A model of crop diversification under labor shocks
title A model of crop diversification under labor shocks
title_full A model of crop diversification under labor shocks
title_fullStr A model of crop diversification under labor shocks
title_full_unstemmed A model of crop diversification under labor shocks
title_short A model of crop diversification under labor shocks
title_sort model of crop diversification under labor shocks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053715/
https://www.ncbi.nlm.nih.gov/pubmed/32126129
http://dx.doi.org/10.1371/journal.pone.0229774
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