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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6821701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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