Size and stochasticity in irrigated social-ecological systems

被引:11
|
作者
Puy, Arnald [1 ,2 ]
Muneepeerakul, Rachata [3 ]
Balbo, Andrea L. [4 ]
机构
[1] Univ Haifa, Recanati Inst Maritime Studies, Dept Maritime Civilizat, 199 Aba Koushy Ave, IL-3498838 Haifa, Israel
[2] Univ Cologne, Inst Geog, Zulphicher Str 45, D-50674 Cologne, Germany
[3] Univ Florida, Dept Agr & Biol Engn, POB 110570, Gainesville, FL USA
[4] Univ Hamburg, Res Grp Climate Change & Secur CLISEC, Ctr Earth Syst Res & Sustainabil CEN, KlimaCampus,Grindelberg 5-7, D-20144 Hamburg, Germany
来源
SCIENTIFIC REPORTS | 2017年 / 7卷
关键词
DEMOGRAPHIC STOCHASTICITY; RIVER-BASIN; SCALE; FERTILITY; ROBUSTNESS; AGRICULTURALISTS; INSTITUTIONS; POPULATIONS; SUBSISTENCE; BEAUTIFUL;
D O I
10.1038/srep43943
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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: N-c* 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 N-c* 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.
引用
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页数:9
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