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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 |
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creator | Diebel, Matthew W Maxted, Jeffrey T Jensen, Olaf P Vander Zanden, M. Jake |
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. |
doi_str_mv | 10.1139/F09-156 |
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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.</description><identifier>ISSN: 0706-652X</identifier><identifier>EISSN: 1205-7533</identifier><identifier>DOI: 10.1139/F09-156</identifier><identifier>CODEN: CJFSDX</identifier><language>eng</language><publisher>Ottawa, ON: National Research Council of Canada</publisher><subject>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. 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Jake</creatorcontrib><title>A spatial autocorrelative model for targeting stream restoration to benefit sensitive nongame fishes</title><title>Canadian journal of fisheries and aquatic sciences</title><addtitle>Journal canadien des sciences halieutiques et aquatiques</addtitle><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. 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Psychology</subject><subject>Habitats</subject><subject>Human influences</subject><subject>Hypentelium nigricans</subject><subject>Lampetra appendix</subject><subject>Land use</subject><subject>Methods</subject><subject>Percina caprodes</subject><subject>Pisces</subject><subject>Protection and preservation</subject><subject>Stream conservation</subject><subject>Streams</subject><subject>Synecology</subject><subject>Watersheds</subject><issn>0706-652X</issn><issn>1205-7533</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqV0l1rFDEUBuBBFFyr-BeCYEuFqfmeyeVSrBaKgh_gXchmTqYpM8k2yYr--6buoq7UguQiJDznkBzepnlO8AkhTL0-w6olQj5oFoRi0XaCsYfNAndYtlLQr4-bJzlfYUyoIHjRDEuU16Z4MyGzKdHGlGCq52-A5jjAhFxMqJg0QvFhRLkkMDNKkEtMlcWASkQrCOB8QRlC9j9rQwyjmQE5ny8hP20eOTNleLbbD5ovZ28-n75rLz68PT9dXrRW9Ky0VllpjMOYMyYZZphT2kvFqOxtDwIcU0oqORACnA9kRYwZBokd7-SK9yvFDpqjbd91iteb-kY9-2xhmkyAuMm641z0lAte5eG9khKBO4H7Cl_8Ba_iJoX6i2oUw1SwrqJ2i0YzgfbBxZKMHetUkpni7Wzq9ZKSThDKVfe76Z63a3-t_0Qnd6C6Bpi9vbPr8V5BNQW-l9Fsctbnnz7-h32_b3dTtSnmnMDpdfKzST80wfo2crpGTtfIVflyNyyTrZlcMsH6_ItTKjrVE1Hdq60LydYogUn28p6mh__Gbov0enDsBjkl7Lc</recordid><startdate>201001</startdate><enddate>201001</enddate><creator>Diebel, Matthew W</creator><creator>Maxted, Jeffrey T</creator><creator>Jensen, Olaf P</creator><creator>Vander Zanden, M. 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Jake</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A spatial autocorrelative model for targeting stream restoration to benefit sensitive nongame fishes</atitle><jtitle>Canadian journal of fisheries and aquatic sciences</jtitle><addtitle>Journal canadien des sciences halieutiques et aquatiques</addtitle><date>2010-01</date><risdate>2010</risdate><volume>67</volume><issue>1</issue><spage>165</spage><epage>176</epage><pages>165-176</pages><issn>0706-652X</issn><eissn>1205-7533</eissn><coden>CJFSDX</coden><abstract>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.</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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ispartof | Canadian journal of fisheries and aquatic sciences, 2010-01, Vol.67 (1), p.165-176 |
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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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