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Size and stochasticity in irrigated social-ecological systems

This paper presents a systematic study of the relation between the size of irrigation systems and the management of uncertainty. We specifically focus on studying, through a stylized theoretical model, how stochasticity in water availability and taxation interacts with the stochastic behavior of the...

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Autores principales: Puy, Arnald, Muneepeerakul, Rachata, Balbo, Andrea L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5339736/
https://www.ncbi.nlm.nih.gov/pubmed/28266656
http://dx.doi.org/10.1038/srep43943
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author Puy, Arnald
Muneepeerakul, Rachata
Balbo, Andrea L.
author_facet Puy, Arnald
Muneepeerakul, Rachata
Balbo, Andrea L.
author_sort Puy, Arnald
collection PubMed
description This paper presents a systematic study of the relation between the size of irrigation systems and the management of uncertainty. We specifically focus on studying, through a stylized theoretical model, how stochasticity in water availability and taxation interacts with the stochastic behavior of the population within irrigation systems. Our results indicate the existence of two key population thresholds for the sustainability of any irrigation system: [Image: see text] or the critical population size required to keep the irrigation system operative, and N* or the population threshold at which the incentive to work inside the irrigation system equals the incentives to work elsewhere. Crossing[Image: see text] irretrievably leads to system collapse. N* is the population level with a sub-optimal per capita payoff towards which irrigation systems tend to gravitate. When subjected to strong stochasticity in water availability or taxation, irrigation systems might suffer sharp population drops and irreversibly disintegrate into a system collapse, via a mechanism we dub ‘collapse trap’. Our conceptual study establishes the basis for further work aiming at appraising the dynamics between size and stochasticity in irrigation systems, whose understanding is key for devising mitigation and adaptation measures to ensure their sustainability in the face of increasing and inevitable uncertainty.
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spelling pubmed-53397362017-03-10 Size and stochasticity in irrigated social-ecological systems Puy, Arnald Muneepeerakul, Rachata Balbo, Andrea L. Sci Rep Article This paper presents a systematic study of the relation between the size of irrigation systems and the management of uncertainty. We specifically focus on studying, through a stylized theoretical model, how stochasticity in water availability and taxation interacts with the stochastic behavior of the population within irrigation systems. Our results indicate the existence of two key population thresholds for the sustainability of any irrigation system: [Image: see text] or the critical population size required to keep the irrigation system operative, and N* or the population threshold at which the incentive to work inside the irrigation system equals the incentives to work elsewhere. Crossing[Image: see text] irretrievably leads to system collapse. N* is the population level with a sub-optimal per capita payoff towards which irrigation systems tend to gravitate. When subjected to strong stochasticity in water availability or taxation, irrigation systems might suffer sharp population drops and irreversibly disintegrate into a system collapse, via a mechanism we dub ‘collapse trap’. Our conceptual study establishes the basis for further work aiming at appraising the dynamics between size and stochasticity in irrigation systems, whose understanding is key for devising mitigation and adaptation measures to ensure their sustainability in the face of increasing and inevitable uncertainty. Nature Publishing Group 2017-03-07 /pmc/articles/PMC5339736/ /pubmed/28266656 http://dx.doi.org/10.1038/srep43943 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Puy, Arnald
Muneepeerakul, Rachata
Balbo, Andrea L.
Size and stochasticity in irrigated social-ecological systems
title Size and stochasticity in irrigated social-ecological systems
title_full Size and stochasticity in irrigated social-ecological systems
title_fullStr Size and stochasticity in irrigated social-ecological systems
title_full_unstemmed Size and stochasticity in irrigated social-ecological systems
title_short Size and stochasticity in irrigated social-ecological systems
title_sort size and stochasticity in irrigated social-ecological systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5339736/
https://www.ncbi.nlm.nih.gov/pubmed/28266656
http://dx.doi.org/10.1038/srep43943
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