Development of an Effective Fish Index of Biotic Integrity for the Sandhills Region of North Carolina

dc.contributor.advisorStacy A.C. Nelson, Committee Chairen_US
dc.contributor.advisorHalil I. Cakir, Committee Memberen_US
dc.contributor.advisorJames F. Gilliam, Committee Memberen_US
dc.contributor.advisorBryn H. Tracy, Committee Memberen_US
dc.contributor.authorHain, Ernst Fredericken_US
dc.date.accessioned2010-04-02T17:58:57Z
dc.date.available2010-04-02T17:58:57Z
dc.date.issued2008-12-05en_US
dc.degree.disciplineFisheries and Wildlife Sciencesen_US
dc.degree.levelthesisen_US
dc.degree.nameMSen_US
dc.descriptionNorth Carolina State University Theses Fisheries & Wildlife Sciences.
dc.description.abstractWe describe a process for developing an index of biotic integrity (IBI) for resident fish assemblages in an ecoregion that exhibits low natural productivity and biodiversity. From 1990 to 2006, 55 fish community samples were collected by the North Carolina Division of Water Quality (NCDWQ) in the Cape Fear, Lumber, and Yadkin river basins within the Sandhills US EPA level IV ecoregion. Initial analyses of these data, using the 12 IBI metrics employed by the NCDWQ in other regions of the state, failed to distinguish significant differences between reference and non-reference streams. To develop a more robust method of measuring responses to anthropogenic disturbance, we delineated contributing watersheds for each of the 36 sample sites using GIS, hydrologic modeling, and 20-foot resolution Digital Elevation Models (DEM) derived from Light Detection and Ranging (LiDAR) data. The 2001 National Land Cover Database (NLCD) and in situ habitat data were used to determine various land use/land cover and hydrologic variables within each watershed. These variables were then used to select the sample sites with absolute minimal anthropogenic impacts. We used the Kruskal-Wallis test to identify eleven fish community metrics, two chemical metrics, and nine individual species that were significantly different in reference and non-reference sites. Of these fifteen metrics, only three exhibited higher values in reference streams. Our results demonstrate that the abundance and diversity of the Sandhills fish fauna are greater in area more highly impacted by anthropogenic activities. By automating the process by which reference sites are chosen, we were able to produce a multi-metric IBI that reflects the varying levels of anthropogenic impacts on wadeable streams in the Sandhills ecoregion.en_US
dc.formatThesis (M.S.)--North Carolina State University.
dc.identifier.otheretd-11072008-061002en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/863
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dis sertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectBioindicatorsen_US
dc.subjectBiomonitoringen_US
dc.subjectFish Ecologyen_US
dc.subjectFisheriesen_US
dc.subjectGeographic Information Systemsen_US
dc.subjectIBIen_US
dc.subjectLand Useen_US
dc.subjectLandscape Managementen_US
dc.subjectLiDARen_US
dc.subjectSandhillsen_US
dc.subjectStreamsen_US
dc.subjectWater Quality Monitoringen_US
dc.titleDevelopment of an Effective Fish Index of Biotic Integrity for the Sandhills Region of North Carolinaen_US
dcterms.abstractKeywords: bioindicators, biomonitoring, fish ecology, fisheries, geographic information systems, IBI, land use, landscape management, LiDAR, Sandhills, streams, water quality monitoring.
dcterms.extentvi, 90 pages : illustrations (some color), maps (some color)

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