Identifying effective water-management strategies in variable climates using population dynamics models

Jian D. L. Yen, Nick Bond, Will Shenton, Daniel A. Spring, Ralph MAC NALLY

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

1. Water-resource management should maintain ecological condition, including population viabilities of aquatic taxa. Many arid and semi-arid regions have experienced elevated water regulation and face drying and warming climates. 2. We combined stochastic, population dynamics models for four fish species with differing life histories with simulated regulated and unregulated flow regimes to assess the relative robustness of fish population persistence to different scenarios of climate change and water management. 3. Water regulation had a larger effect than differences in climate, negatively affecting one species through increased summer flows, and stabilizing population trajectories for two species that were sensitive to cease-to-flow events; the other species was insensitive to regulation or climate. 4. The greater importance of water regulation suggests that management of water regulation and human use can be used to insulate fish, to some degree, from the effects of future climate change. 5. General deductions from our results, such as the importance of inter-annual variability and the application of demographic modelling tools, are readily transferable to other systems. 6. Synthesis and applications. Our scenario-based approach was able to assess the population-level effects of multiple concurrent stressors and represents an effective framework for identifying management strategies that are robust to uncertainty in future environments.
Original languageEnglish
Pages (from-to)691-701
Number of pages11
JournalJournal of Applied Ecology
Volume50
DOIs
Publication statusPublished - 2013
Externally publishedYes

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water management
population dynamics
climate
water
fish
semiarid region
viability
life history
persistence
warming
trajectory
regulation
climate change
summer
modeling
effect

Cite this

Yen, Jian D. L. ; Bond, Nick ; Shenton, Will ; Spring, Daniel A. ; MAC NALLY, Ralph. / Identifying effective water-management strategies in variable climates using population dynamics models. In: Journal of Applied Ecology. 2013 ; Vol. 50. pp. 691-701.
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Identifying effective water-management strategies in variable climates using population dynamics models. / Yen, Jian D. L.; Bond, Nick; Shenton, Will; Spring, Daniel A.; MAC NALLY, Ralph.

In: Journal of Applied Ecology, Vol. 50, 2013, p. 691-701.

Research output: Contribution to journalArticle

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T1 - Identifying effective water-management strategies in variable climates using population dynamics models

AU - Yen, Jian D. L.

AU - Bond, Nick

AU - Shenton, Will

AU - Spring, Daniel A.

AU - MAC NALLY, Ralph

PY - 2013

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AB - 1. Water-resource management should maintain ecological condition, including population viabilities of aquatic taxa. Many arid and semi-arid regions have experienced elevated water regulation and face drying and warming climates. 2. We combined stochastic, population dynamics models for four fish species with differing life histories with simulated regulated and unregulated flow regimes to assess the relative robustness of fish population persistence to different scenarios of climate change and water management. 3. Water regulation had a larger effect than differences in climate, negatively affecting one species through increased summer flows, and stabilizing population trajectories for two species that were sensitive to cease-to-flow events; the other species was insensitive to regulation or climate. 4. The greater importance of water regulation suggests that management of water regulation and human use can be used to insulate fish, to some degree, from the effects of future climate change. 5. General deductions from our results, such as the importance of inter-annual variability and the application of demographic modelling tools, are readily transferable to other systems. 6. Synthesis and applications. Our scenario-based approach was able to assess the population-level effects of multiple concurrent stressors and represents an effective framework for identifying management strategies that are robust to uncertainty in future environments.

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