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Water management for irrigation, crop yield and social attitudes: a socio-agricultural agent-based model to explore a collective action problem

Tamburino, Lucia and Di Baldassarre, Giuliano and Vico, Giulia (2020). Water management for irrigation, crop yield and social attitudes: a socio-agricultural agent-based model to explore a collective action problem. Hydrological Sciences Journal. 65 , 1815-1829
[Research article]

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Abstract

When rainfall does not meet crop water requirements, supplemental irrigation is needed to maintain productivity. On-farm ponds can prevent excessive groundwater exploitation - to the benefit of the whole community - but they reduce the cultivated area and require investments by each farmer. Thus, choosing the source of water for irrigation (groundwatervson-farm pond) is a problem of collective action. An agent-based model is developed to simulate a smallholder farming system; the farmers' long-/short-view orientation determines the choice of the water source. We identify the most beneficial water source for economic gain and its stability, and how it can change across communities and under future climate scenarios. By using on-farm ponds, long-view-oriented farmers provide collective advantages but have individual advantages only under extreme climates; a tragedy of the commons is always possible. Changes in farmers' attitudes (and hence sources of water) based on previous experiences can worsen the economic outcome.

Authors/Creators:Tamburino, Lucia and Di Baldassarre, Giuliano and Vico, Giulia
Title:Water management for irrigation, crop yield and social attitudes: a socio-agricultural agent-based model to explore a collective action problem
Series Name/Journal:Hydrological Sciences Journal
Year of publishing :2020
Volume:65
Page range:1815-1829
Number of Pages:15
Publisher:TAYLOR AND FRANCIS LTD
ISSN:0262-6667
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Oceanography, Hydrology, Water Resources
Keywords:agent-based model, precipitation unpredictability, collective action, supplemental irrigation, groundwater, on-farm ponds, crop yield
URN:NBN:urn:nbn:se:slu:epsilon-p-107034
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-107034
Additional ID:
Type of IDID
DOI10.1080/02626667.2020.1769103
Web of Science (WoS)000547854300001
ID Code:22652
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Crop Production Ecology
Deposited By: SLUpub Connector
Deposited On:24 Feb 2021 11:14
Metadata Last Modified:01 Mar 2021 02:47

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