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A spatial autocorrelative model for targeting stream restoration to benefit sensitive nongame fishes

Stream restoration projects often aim to benefit aquatic biota and frequently use the reappearance of sensitive nongame fish species as a measure of restoration success. However, mitigation of human influence will only benefit a given species where static habitat characteristics are suitable for tha...

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Published in:Canadian journal of fisheries and aquatic sciences 2010-01, Vol.67 (1), p.165-176
Main Authors: Diebel, Matthew W, Maxted, Jeffrey T, Jensen, Olaf P, Vander Zanden, M. Jake
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Language:English
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Jensen, Olaf P
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description Stream restoration projects often aim to benefit aquatic biota and frequently use the reappearance of sensitive nongame fish species as a measure of restoration success. However, mitigation of human influence will only benefit a given species where static habitat characteristics are suitable for that species and where potential source populations are within the range of their dispersal capability. We used spatial autoregressive habitat models to simulate the effect of watershed-scale stream restoration on the distributions of six sediment-sensitive fish species in Wisconsin, USA, streams. These models consider the probability of occurrence of a species in a given stream segment as a function of characteristics of that segment as well as the characteristics of neighboring segments. Populations of individual species are predicted to be restorable in 0.2%-2.8% of Wisconsin streams. Streams with high restoration potential for one or more species generally have high watershed human land use but are also closely connected through the stream network to relatively undisturbed streams. These results indicate that habitat restoration for nongame stream fishes will be most effective when it builds onto existing suitable habitat because of both dispersal limitation and spatial autocorrelation of habitat characteristics.
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These results indicate that habitat restoration for nongame stream fishes will be most effective when it builds onto existing suitable habitat because of both dispersal limitation and spatial autocorrelation of habitat characteristics.</abstract><cop>Ottawa, ON</cop><pub>National Research Council of Canada</pub><doi>10.1139/F09-156</doi><tpages>12</tpages></addata></record>
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source Canadian Science Publishing (NRC Research Press) Current
subjects Animal and plant ecology
Animal, plant and microbial ecology
Applied ecology
Aquatic animals
Aquatic sciences
Biological and medical sciences
Biota
Clinostomus elongatus
Cottus bairdii
Creeks & streams
Ecological restoration
Environmental restoration
Etheostoma caeruleum
Exploitation and management of natural biological resources (hunting, fishing and exploited populations survey, etc.)
Fish
Fishery conservation
Fresh water ecosystems
Freshwater
Fundamental and applied biological sciences. Psychology
Habitats
Human influences
Hypentelium nigricans
Lampetra appendix
Land use
Methods
Percina caprodes
Pisces
Protection and preservation
Stream conservation
Streams
Synecology
Watersheds
title A spatial autocorrelative model for targeting stream restoration to benefit sensitive nongame fishes
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