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AN EVALUATION OF THE RELATIONS BETWEEN FLOW REGIME COMPONENTS, STREAM CHARACTERISTICS, SPECIES TRAITS, AND META-DEMOGRAPHIC RATES OF WARM-WATER-STREAM FISHES: IMPLICATIONS FOR AQUATIC RESOURCE MANAGEMENT.

Authors :
Peterson, J. T.
Shea, C. P.
Source :
River Research & Applications; Dec2015, Vol. 31 Issue 10, p1227-1241, 15p, 7 Charts, 5 Graphs, 1 Map
Publication Year :
2015

Abstract

Fishery biologists are increasingly recognizing the importance of considering the dynamic nature of streams when developing streamflow policies. Such approaches require information on how flow regimes influence the physical environment and how those factors, in turn, affect species-specific demographic rates. A more cost-effective alternative could be the use of dynamic occupancy models to predict how species are likely to respond to changes in flow. To appraise the efficacy of this approach, we evaluated relative support for hypothesized effects of seasonal streamflow components, stream channel characteristics, and fish species traits on local extinction, colonization, and recruitment (meta-demographic rates) of stream fishes. We used 4 years of seasonal fish collection data from 23 streams to fit multistate, multiseason occupancy models for 42 fish species in the lower Flint River Basin, Georgia. Modelling results suggested that meta-demographic rates were influenced by streamflows, particularly short-term (10-day) flows. Flow effects on meta-demographic rates also varied with stream size, channel morphology, and fish species traits. Small-bodied species with generalized life-history characteristics were more resilient to flow variability than large-bodied species with specialized life-history characteristics. Using this approach, we simplified the modelling framework, thereby facilitating the development of dynamic, spatially explicit evaluations of the ecological consequences of water resource development activities over broad geographic areas. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15351459
Volume :
31
Issue :
10
Database :
Complementary Index
Journal :
River Research & Applications
Publication Type :
Academic Journal
Accession number :
111662676
Full Text :
https://doi.org/10.1002/rra.2835