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Response of Coffee Farms to Hurricane Maria: Resistance and Resilience from an Extreme Climatic Event

Resistance and resilience have become important concepts in the evaluation of disturbance events, providing a framework that is useful in light of the expected increase in frequency and occurrences of hurricanes as a consequence of climate change. Hurricane Maria landed on Puerto Rico as a category...

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Autores principales: Perfecto, Ivette, Hajian-Forooshani, Zachary, Iverson, Aaron, Irizarry, Amarilys D., Lugo-Perez, Javier, Medina, Nicholas, Vaidya, Chatura, White, Alexa, Vandermeer, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821701/
https://www.ncbi.nlm.nih.gov/pubmed/31666543
http://dx.doi.org/10.1038/s41598-019-51416-1
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author Perfecto, Ivette
Hajian-Forooshani, Zachary
Iverson, Aaron
Irizarry, Amarilys D.
Lugo-Perez, Javier
Medina, Nicholas
Vaidya, Chatura
White, Alexa
Vandermeer, John
author_facet Perfecto, Ivette
Hajian-Forooshani, Zachary
Iverson, Aaron
Irizarry, Amarilys D.
Lugo-Perez, Javier
Medina, Nicholas
Vaidya, Chatura
White, Alexa
Vandermeer, John
author_sort Perfecto, Ivette
collection PubMed
description Resistance and resilience have become important concepts in the evaluation of disturbance events, providing a framework that is useful in light of the expected increase in frequency and occurrences of hurricanes as a consequence of climate change. Hurricane Maria landed on Puerto Rico as a category 4 storm in September of 2017. Among the affected elements were agricultural systems, including coffee agroecosystems. Historically, coffee has been a major backbone of the island’s agricultural sector. Grown with a range of management styles, the coffee agroecosystem provides an excellent model system to study the resistance/resilience of agroecosystems faced with hurricane disturbance. Sampling 28 farms and comparing pre-hurricane data (2013) with post hurricane data we find that management style had only a small effect on either resistance or resilience, likely due to the especially strong nature of the storm. Rather, the socio-political context of individual farms seems to be a more useful predictor of resilience.
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spelling pubmed-68217012019-11-05 Response of Coffee Farms to Hurricane Maria: Resistance and Resilience from an Extreme Climatic Event Perfecto, Ivette Hajian-Forooshani, Zachary Iverson, Aaron Irizarry, Amarilys D. Lugo-Perez, Javier Medina, Nicholas Vaidya, Chatura White, Alexa Vandermeer, John Sci Rep Article Resistance and resilience have become important concepts in the evaluation of disturbance events, providing a framework that is useful in light of the expected increase in frequency and occurrences of hurricanes as a consequence of climate change. Hurricane Maria landed on Puerto Rico as a category 4 storm in September of 2017. Among the affected elements were agricultural systems, including coffee agroecosystems. Historically, coffee has been a major backbone of the island’s agricultural sector. Grown with a range of management styles, the coffee agroecosystem provides an excellent model system to study the resistance/resilience of agroecosystems faced with hurricane disturbance. Sampling 28 farms and comparing pre-hurricane data (2013) with post hurricane data we find that management style had only a small effect on either resistance or resilience, likely due to the especially strong nature of the storm. Rather, the socio-political context of individual farms seems to be a more useful predictor of resilience. Nature Publishing Group UK 2019-10-30 /pmc/articles/PMC6821701/ /pubmed/31666543 http://dx.doi.org/10.1038/s41598-019-51416-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Perfecto, Ivette
Hajian-Forooshani, Zachary
Iverson, Aaron
Irizarry, Amarilys D.
Lugo-Perez, Javier
Medina, Nicholas
Vaidya, Chatura
White, Alexa
Vandermeer, John
Response of Coffee Farms to Hurricane Maria: Resistance and Resilience from an Extreme Climatic Event
title Response of Coffee Farms to Hurricane Maria: Resistance and Resilience from an Extreme Climatic Event
title_full Response of Coffee Farms to Hurricane Maria: Resistance and Resilience from an Extreme Climatic Event
title_fullStr Response of Coffee Farms to Hurricane Maria: Resistance and Resilience from an Extreme Climatic Event
title_full_unstemmed Response of Coffee Farms to Hurricane Maria: Resistance and Resilience from an Extreme Climatic Event
title_short Response of Coffee Farms to Hurricane Maria: Resistance and Resilience from an Extreme Climatic Event
title_sort response of coffee farms to hurricane maria: resistance and resilience from an extreme climatic event
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821701/
https://www.ncbi.nlm.nih.gov/pubmed/31666543
http://dx.doi.org/10.1038/s41598-019-51416-1
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