{"id":{"repo_id":"eku","oai_identifier":"oai:encompass.eku.edu:etd-1378"},"canonical_url":"https://search.dev.ndltd.org/etd/eku/oai:encompass.eku.edu:etd-1378","repository":{"repo_id":"eku","name":"Eastern Kentucky University","base_url":"https://encompass.eku.edu/do/oai/"},"display":{"title":"Anthropogenic Influence on Blackfin Sucker (Thoburnia atripinnis) Distribution, in the Upper Barren River System, Kentucky and Tennessee","abstract":"<p>We evaluated the effects of land use and cover on endemic blackfin sucker (Thoburnia atripinnis) catch per unit effort and abundance within the Upper Barren River (UBR) system, a priority conservation area, in south-central Kentucky. Anthropogenic impacts have rendered T. atripinnis a “species of greatest conservation need” by the Kentucky Department of Fish and Wildlife Resources. This study focused on determining if land use surrounding blackfin sucker sampling sites and certain physicochemical parameters could be impacting their inhabitance at these sites. Data collection and ground truthing occurred between September 2015 and June 2016. ArcGIS was used to extract land use proportions within 100m and 390m buffers around 41 sites and ERDAS imagine was used to create a supervised and unsupervised classification of the study area. Based on the error matrices land use/cover was classified with higher accuracy values for supervised classification over unsupervised classification. Within the study area, Barren River and Long Creek watersheds were found to be made up of primarily forest while Beaver Creek, Skaggs Creek, and Peter Creek watersheds were mainly hay pasture. Principal component analysis (PCA) was utilized using 11 variables to investigate the impact of land use/cover and physicochemical parameters on blackfin sucker catch per unit effort (CPUE). No significant correlations between principal components and blackfin sucker CPUE occurred. Stepwise regression models revealed that temperature was the best explanatory variable for blackfin sucker CPUE. Although no statistically significant results were found, this study showed how ArcGIS and remote sensing techniques can be applied to a pre-existing biological dataset. However, with these results, further conclusions can be drawn about the blackfin sucker and their ideal habitat. </p>","abstract_html":"&lt;p&gt;We evaluated the effects of land use and cover on endemic blackfin sucker (Thoburnia atripinnis) catch per unit effort and abundance within the Upper Barren River (UBR) system, a priority conservation area, in south-central Kentucky. Anthropogenic impacts have rendered T. atripinnis a “species of greatest conservation need” by the Kentucky Department of Fish and Wildlife Resources. This study focused on determining if land use surrounding blackfin sucker sampling sites and certain physicochemical parameters could be impacting their inhabitance at these sites. Data collection and ground truthing occurred between September 2015 and June 2016. ArcGIS was used to extract land use proportions within 100m and 390m buffers around 41 sites and ERDAS imagine was used to create a supervised and unsupervised classification of the study area. Based on the error matrices land use/cover was classified with higher accuracy values for supervised classification over unsupervised classification. Within the study area, Barren River and Long Creek watersheds were found to be made up of primarily forest while Beaver Creek, Skaggs Creek, and Peter Creek watersheds were mainly hay pasture. Principal component analysis (PCA) was utilized using 11 variables to investigate the impact of land use/cover and physicochemical parameters on blackfin sucker catch per unit effort (CPUE). No significant correlations between principal components and blackfin sucker CPUE occurred. Stepwise regression models revealed that temperature was the best explanatory variable for blackfin sucker CPUE. Although no statistically significant results were found, this study showed how ArcGIS and remote sensing techniques can be applied to a pre-existing biological dataset. However, with these results, further conclusions can be drawn about the blackfin sucker and their ideal habitat. &lt;/p&gt;","abstract_has_math":false,"creators":["Hurak, Christa Rose"],"institution":"Eastern Kentucky University","degree_name":"Master of Science (MS)","degree_level":"Master's","degree_discipline":"Biological Sciences","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-01-01T08:00:00Z","date_published":"2016-01-01T08:00:00Z","updated_at":"2026-07-24T02:15:32Z","subjects":["blackfin sucker","endemic","GIS","land use","remote sensing","Upper Barren River","Natural Resources and Conservation","Terrestrial and Aquatic Ecology"],"languages":[],"rights":["Copyright 2016 Christa Rose Hurak"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://encompass.eku.edu/etd/380","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Hurak, Christa Rose"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:publisher","label":"Institution","values":["Encompass Digital Archive, Eastern Kentucky University"]},{"key":"dc:type","label":"Dc Type","values":["Master Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Biological Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master's"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Eastern Kentucky University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["blackfin sucker","endemic","GIS","land use","remote sensing","Upper Barren River","Natural Resources and Conservation","Terrestrial and Aquatic Ecology"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 Christa Rose Hurak"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://encompass.eku.edu/etd/380"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>We evaluated the effects of land use and cover on endemic blackfin sucker (Thoburnia atripinnis) catch per unit effort and abundance within the Upper Barren River (UBR) system, a priority conservation area, in south-central Kentucky. Anthropogenic impacts have rendered T. atripinnis a “species of greatest conservation need” by the Kentucky Department of Fish and Wildlife Resources. This study focused on determining if land use surrounding blackfin sucker sampling sites and certain physicochemical parameters could be impacting their inhabitance at these sites. Data collection and ground truthing occurred between September 2015 and June 2016. ArcGIS was used to extract land use proportions within 100m and 390m buffers around 41 sites and ERDAS imagine was used to create a supervised and unsupervised classification of the study area. Based on the error matrices land use/cover was classified with higher accuracy values for supervised classification over unsupervised classification. Within the study area, Barren River and Long Creek watersheds were found to be made up of primarily forest while Beaver Creek, Skaggs Creek, and Peter Creek watersheds were mainly hay pasture. Principal component analysis (PCA) was utilized using 11 variables to investigate the impact of land use/cover and physicochemical parameters on blackfin sucker catch per unit effort (CPUE). No significant correlations between principal components and blackfin sucker CPUE occurred. Stepwise regression models revealed that temperature was the best explanatory variable for blackfin sucker CPUE. Although no statistically significant results were found, this study showed how ArcGIS and remote sensing techniques can be applied to a pre-existing biological dataset. However, with these results, further conclusions can be drawn about the blackfin sucker and their ideal habitat. </p>"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:source","label":"Dc Source","values":["Encompass Digital Archive: Online Theses and Dissertations"]},{"key":"dc:title","label":"Title","values":["Anthropogenic Influence on Blackfin Sucker (Thoburnia atripinnis) Distribution, in the Upper Barren River System, Kentucky and Tennessee"]}]}],"canonical_facts":{"dc:creator":["Hurak, Christa Rose"],"dc:description.abstract":["<p>We evaluated the effects of land use and cover on endemic blackfin sucker (Thoburnia atripinnis) catch per unit effort and abundance within the Upper Barren River (UBR) system, a priority conservation area, in south-central Kentucky. Anthropogenic impacts have rendered T. atripinnis a “species of greatest conservation need” by the Kentucky Department of Fish and Wildlife Resources. This study focused on determining if land use surrounding blackfin sucker sampling sites and certain physicochemical parameters could be impacting their inhabitance at these sites. Data collection and ground truthing occurred between September 2015 and June 2016. ArcGIS was used to extract land use proportions within 100m and 390m buffers around 41 sites and ERDAS imagine was used to create a supervised and unsupervised classification of the study area. Based on the error matrices land use/cover was classified with higher accuracy values for supervised classification over unsupervised classification. Within the study area, Barren River and Long Creek watersheds were found to be made up of primarily forest while Beaver Creek, Skaggs Creek, and Peter Creek watersheds were mainly hay pasture. Principal component analysis (PCA) was utilized using 11 variables to investigate the impact of land use/cover and physicochemical parameters on blackfin sucker catch per unit effort (CPUE). No significant correlations between principal components and blackfin sucker CPUE occurred. Stepwise regression models revealed that temperature was the best explanatory variable for blackfin sucker CPUE. Although no statistically significant results were found, this study showed how ArcGIS and remote sensing techniques can be applied to a pre-existing biological dataset. However, with these results, further conclusions can be drawn about the blackfin sucker and their ideal habitat. </p>"],"dc:format":["application/pdf"],"dc:identifier":["https://encompass.eku.edu/etd/380"],"dc:publisher":["Encompass Digital Archive, Eastern Kentucky University"],"dc:rights":["Copyright 2016 Christa Rose Hurak"],"dc:source":["Encompass Digital Archive: Online Theses and Dissertations"],"dc:subject":["blackfin sucker","endemic","GIS","land use","remote sensing","Upper Barren River","Natural Resources and Conservation","Terrestrial and Aquatic Ecology"],"dc:title":["Anthropogenic Influence on Blackfin Sucker (Thoburnia atripinnis) Distribution, in the Upper Barren River System, Kentucky and Tennessee"],"dc:type":["Master Thesis"],"thesis:degree_discipline":["Biological Sciences"],"thesis:degree_level":["Master's"],"thesis:degree_name":["Master of Science (MS)"],"thesis:institution_name":["Eastern Kentucky University"]},"updated_at":"2026-07-24T02:15:32Z"}