Identifying Sources of Stress to Native Aquatic Fauna Using a Watershed Ecological Risk Assessment Framework
The free-flowing Clinch and Powell River Basin, located in southwestern Virginia, United States, historically had one of the richest assemblages of native fish and freshwater mussels in the world. Nearly half of the species once residing here are now extinct, threatened, or endangered. The United St...
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description | The free-flowing Clinch and Powell River Basin, located in southwestern Virginia, United States, historically had one of the richest assemblages of native fish and freshwater mussels in the world. Nearly half of the species once residing here are now extinct, threatened, or endangered. The United States Environmental Protection Agency's framework for conducting an ecological risk assessment was used to structure a watershed-scale analysis of human land use, in-stream habitat quality, and their relationship to native fish and mussel populations in order to develop future management strategies and prioritize areas in need of enhanced protection. Our analyses indicate that agricultural and urban land uses as well as proximity to mining activities and transportation corridors are inversely related to fish index of biotic integrity (IBI) and mussel species diversity. Forward stepwise multiple regression analyses indicated that coal mining had the most impact on fish IBI followed by percent cropland and urban area in the riparian corridor (R 2 = 0.55, p = 0.02); however, these analyses suggest that other site-specific factors are important. Habitat quality measures accounted for as much as approximately half of the variability in fish IBI values if the analysis was limited to sites within a relatively narrow elevation range. These results, in addition to other data collected in this watershed, suggest that nonhabitat-related stressors (e.g., accidental chemical spills) also have significant effects on biota in this basin. The number of co-occurring human land uses was inversely related to fish IBI (r = −0.49, p < 0.01). Sites with ≥2 co-occurring land uses had >90% probability of having |
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Nearly half of the species once residing here are now extinct, threatened, or endangered. The United States Environmental Protection Agency's framework for conducting an ecological risk assessment was used to structure a watershed-scale analysis of human land use, in-stream habitat quality, and their relationship to native fish and mussel populations in order to develop future management strategies and prioritize areas in need of enhanced protection. Our analyses indicate that agricultural and urban land uses as well as proximity to mining activities and transportation corridors are inversely related to fish index of biotic integrity (IBI) and mussel species diversity. Forward stepwise multiple regression analyses indicated that coal mining had the most impact on fish IBI followed by percent cropland and urban area in the riparian corridor (R 2 = 0.55, p = 0.02); however, these analyses suggest that other site-specific factors are important. Habitat quality measures accounted for as much as approximately half of the variability in fish IBI values if the analysis was limited to sites within a relatively narrow elevation range. These results, in addition to other data collected in this watershed, suggest that nonhabitat-related stressors (e.g., accidental chemical spills) also have significant effects on biota in this basin. The number of co-occurring human land uses was inversely related to fish IBI (r = −0.49, p < 0.01). Sites with ≥2 co-occurring land uses had >90% probability of having <2 mussel species present. Our findings predict that many mussel concentration sites are vulnerable to future extirpation. In addition, our results suggest that protection and enhancement of naturally vegetated riparian corridors, better controls of mine effluents and urban runoff, and increased safeguards against accidental chemical spills, as well as reintroduction or augmentation of threatened and endangered species, may help sustain native fish and mussel populations in this watershed.</description><identifier>ISSN: 0013-936X</identifier><identifier>EISSN: 1520-5851</identifier><identifier>DOI: 10.1021/es0015803</identifier><identifier>PMID: 11775143</identifier><identifier>CODEN: ESTHAG</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject><![CDATA[Agriculture - statistics & numerical data ; Animal, plant and microbial ecology ; Animals ; Aquatic life ; Biological and medical sciences ; Bivalvia - growth & development ; Conservation of Natural Resources - statistics & numerical data ; Ecology ; Ecosystem ; Environment ; Environmental impact ; Fishes - growth & development ; Fresh Water ; Freshwater ; Fundamental and applied biological sciences. Psychology ; General aspects. Techniques ; Humans ; Methods and techniques (sampling, tagging, trapping, modelling...) ; Mining - statistics & numerical data ; Pisces ; Population Dynamics ; Regression Analysis ; Risk assessment ; Risk Assessment - methods ; Rivers ; Unionidae ; United States ; United States Environmental Protection Agency - statistics & numerical data ; Urbanization ; USA, Virginia, Clinch R ; USA, Virginia, Powell R]]></subject><ispartof>Environmental science & technology, 2001-12, Vol.35 (24), p.4711-4718</ispartof><rights>Copyright © 2001 American Chemical Society</rights><rights>2002 INIST-CNRS</rights><rights>Copyright American Chemical Society Dec 15, 2001</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a505t-d8190f60c05db9b02b70a5e04da59bc75faf898cf05d8da481cc34449b4d15523</citedby><cites>FETCH-LOGICAL-a505t-d8190f60c05db9b02b70a5e04da59bc75faf898cf05d8da481cc34449b4d15523</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/es0015803$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/es0015803$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,780,784,2763,27075,27923,27924,56737,56787</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=13390671$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11775143$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Diamond, Jerome M</creatorcontrib><creatorcontrib>Serveiss, Victor B</creatorcontrib><title>Identifying Sources of Stress to Native Aquatic Fauna Using a Watershed Ecological Risk Assessment Framework</title><title>Environmental science & technology</title><addtitle>Environ. Sci. Technol</addtitle><description>The free-flowing Clinch and Powell River Basin, located in southwestern Virginia, United States, historically had one of the richest assemblages of native fish and freshwater mussels in the world. Nearly half of the species once residing here are now extinct, threatened, or endangered. The United States Environmental Protection Agency's framework for conducting an ecological risk assessment was used to structure a watershed-scale analysis of human land use, in-stream habitat quality, and their relationship to native fish and mussel populations in order to develop future management strategies and prioritize areas in need of enhanced protection. Our analyses indicate that agricultural and urban land uses as well as proximity to mining activities and transportation corridors are inversely related to fish index of biotic integrity (IBI) and mussel species diversity. Forward stepwise multiple regression analyses indicated that coal mining had the most impact on fish IBI followed by percent cropland and urban area in the riparian corridor (R 2 = 0.55, p = 0.02); however, these analyses suggest that other site-specific factors are important. Habitat quality measures accounted for as much as approximately half of the variability in fish IBI values if the analysis was limited to sites within a relatively narrow elevation range. These results, in addition to other data collected in this watershed, suggest that nonhabitat-related stressors (e.g., accidental chemical spills) also have significant effects on biota in this basin. The number of co-occurring human land uses was inversely related to fish IBI (r = −0.49, p < 0.01). Sites with ≥2 co-occurring land uses had >90% probability of having <2 mussel species present. Our findings predict that many mussel concentration sites are vulnerable to future extirpation. 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Psychology</subject><subject>General aspects. 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Psychology</topic><topic>General aspects. Techniques</topic><topic>Humans</topic><topic>Methods and techniques (sampling, tagging, trapping, modelling...)</topic><topic>Mining - statistics & numerical data</topic><topic>Pisces</topic><topic>Population Dynamics</topic><topic>Regression Analysis</topic><topic>Risk assessment</topic><topic>Risk Assessment - methods</topic><topic>Rivers</topic><topic>Unionidae</topic><topic>United States</topic><topic>United States Environmental Protection Agency - statistics & numerical data</topic><topic>Urbanization</topic><topic>USA, Virginia, Clinch R</topic><topic>USA, Virginia, Powell R</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Diamond, Jerome M</creatorcontrib><creatorcontrib>Serveiss, Victor B</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>Aqualine</collection><collection>Pollution Abstracts</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Water Resources Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental science & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Diamond, Jerome M</au><au>Serveiss, Victor B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying Sources of Stress to Native Aquatic Fauna Using a Watershed Ecological Risk Assessment Framework</atitle><jtitle>Environmental science & technology</jtitle><addtitle>Environ. Sci. Technol</addtitle><date>2001-12-15</date><risdate>2001</risdate><volume>35</volume><issue>24</issue><spage>4711</spage><epage>4718</epage><pages>4711-4718</pages><issn>0013-936X</issn><eissn>1520-5851</eissn><coden>ESTHAG</coden><abstract>The free-flowing Clinch and Powell River Basin, located in southwestern Virginia, United States, historically had one of the richest assemblages of native fish and freshwater mussels in the world. Nearly half of the species once residing here are now extinct, threatened, or endangered. The United States Environmental Protection Agency's framework for conducting an ecological risk assessment was used to structure a watershed-scale analysis of human land use, in-stream habitat quality, and their relationship to native fish and mussel populations in order to develop future management strategies and prioritize areas in need of enhanced protection. Our analyses indicate that agricultural and urban land uses as well as proximity to mining activities and transportation corridors are inversely related to fish index of biotic integrity (IBI) and mussel species diversity. Forward stepwise multiple regression analyses indicated that coal mining had the most impact on fish IBI followed by percent cropland and urban area in the riparian corridor (R 2 = 0.55, p = 0.02); however, these analyses suggest that other site-specific factors are important. Habitat quality measures accounted for as much as approximately half of the variability in fish IBI values if the analysis was limited to sites within a relatively narrow elevation range. These results, in addition to other data collected in this watershed, suggest that nonhabitat-related stressors (e.g., accidental chemical spills) also have significant effects on biota in this basin. The number of co-occurring human land uses was inversely related to fish IBI (r = −0.49, p < 0.01). Sites with ≥2 co-occurring land uses had >90% probability of having <2 mussel species present. Our findings predict that many mussel concentration sites are vulnerable to future extirpation. In addition, our results suggest that protection and enhancement of naturally vegetated riparian corridors, better controls of mine effluents and urban runoff, and increased safeguards against accidental chemical spills, as well as reintroduction or augmentation of threatened and endangered species, may help sustain native fish and mussel populations in this watershed.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><pmid>11775143</pmid><doi>10.1021/es0015803</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agriculture - statistics & numerical data Animal, plant and microbial ecology Animals Aquatic life Biological and medical sciences Bivalvia - growth & development Conservation of Natural Resources - statistics & numerical data Ecology Ecosystem Environment Environmental impact Fishes - growth & development Fresh Water Freshwater Fundamental and applied biological sciences. Psychology General aspects. Techniques Humans Methods and techniques (sampling, tagging, trapping, modelling...) Mining - statistics & numerical data Pisces Population Dynamics Regression Analysis Risk assessment Risk Assessment - methods Rivers Unionidae United States United States Environmental Protection Agency - statistics & numerical data Urbanization USA, Virginia, Clinch R USA, Virginia, Powell R |
title | Identifying Sources of Stress to Native Aquatic Fauna Using a Watershed Ecological Risk Assessment Framework |
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