{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1785"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1785","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"A reevalution of Tennessee’s invasive plant species using SERNEC and Maximum Entropy species distribution models","abstract":"The detection and monitoring of invasive plant species present tremendous challenges to land managers. To reduce the economic and environmental costs associated with developing management plans for invasive plants, organizations such as the National Invasive Plant Council work to rank invasive plant species with regard to their invasiveness. Here, the Tennessee Invasive Plant Council’s ranking system is evaluated by considering county documentation from four resources that are commonly used to understand species distribution, including SERNEC which has recently uploaded more than 800,000 herbarium specimen records. We use data from SERNEC and iNaturalist to model the current and potential distribution of 24 Tennessee Invasive Plant Council ranked species in Tennessee. In the end, a combination of these online sources as well as species distribution models are used to propose a layout for a new way of ranking invasive plant species in Tennessee.","abstract_html":"The detection and monitoring of invasive plant species present tremendous challenges to land managers. To reduce the economic and environmental costs associated with developing management plans for invasive plants, organizations such as the National Invasive Plant Council work to rank invasive plant species with regard to their invasiveness. Here, the Tennessee Invasive Plant Council’s ranking system is evaluated by considering county documentation from four resources that are commonly used to understand species distribution, including SERNEC which has recently uploaded more than 800,000 herbarium specimen records. We use data from SERNEC and iNaturalist to model the current and potential distribution of 24 Tennessee Invasive Plant Council ranked species in Tennessee. In the end, a combination of these online sources as well as species distribution models are used to propose a layout for a new way of ranking invasive plant species in Tennessee.","abstract_has_math":false,"creators":["Alley, Courtney"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Shaw, Joey","Hunt, Nyssa; Hossain, A.K.M. Azad; Heard, Matthew","College of Arts and Sciences"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-01-01T08:00:00Z","date_published":"2021-01-01T08:00:00Z","updated_at":"2026-07-24T05:46:59Z","subjects":["Invasive plants -- Tennessee","Invasive plants -- Control -- Tennessee"],"languages":["English","eng"],"rights":[],"rights_urls":["https://rightsstatements.org/page/InC/1.0/?language=en"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/626","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Shaw, Joey","Hunt, Nyssa; Hossain, A.K.M. 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S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["The detection and monitoring of invasive plant species present tremendous challenges to land managers. To reduce the economic and environmental costs associated with developing management plans for invasive plants, organizations such as the National Invasive Plant Council work to rank invasive plant species with regard to their invasiveness. Here, the Tennessee Invasive Plant Council’s ranking system is evaluated by considering county documentation from four resources that are commonly used to understand species distribution, including SERNEC which has recently uploaded more than 800,000 herbarium specimen records. We use data from SERNEC and iNaturalist to model the current and potential distribution of 24 Tennessee Invasive Plant Council ranked species in Tennessee. In the end, a combination of these online sources as well as species distribution models are used to propose a layout for a new way of ranking invasive plant species in Tennessee."]},{"key":"dc:title","label":"Title","values":["A reevalution of Tennessee’s invasive plant species using SERNEC and Maximum Entropy species distribution models"]}]}],"canonical_facts":{"dc:contributor":["Shaw, Joey","Hunt, Nyssa; Hossain, A.K.M. Azad; Heard, Matthew","College of Arts and Sciences"],"dc:creator":["Alley, Courtney"],"dc:date":["2019-12-01T08:00:00Z"],"dc:date.available":["2021-01-01T08:00:00Z"],"dc:description":["Dept. of Biological and Environmental Sciences","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."],"dc:description.abstract":["The detection and monitoring of invasive plant species present tremendous challenges to land managers. To reduce the economic and environmental costs associated with developing management plans for invasive plants, organizations such as the National Invasive Plant Council work to rank invasive plant species with regard to their invasiveness. Here, the Tennessee Invasive Plant Council’s ranking system is evaluated by considering county documentation from four resources that are commonly used to understand species distribution, including SERNEC which has recently uploaded more than 800,000 herbarium specimen records. We use data from SERNEC and iNaturalist to model the current and potential distribution of 24 Tennessee Invasive Plant Council ranked species in Tennessee. In the end, a combination of these online sources as well as species distribution models are used to propose a layout for a new way of ranking invasive plant species in Tennessee."],"dc:identifier":["https://scholar.utc.edu/theses/626"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["https://rightsstatements.org/page/InC/1.0/?language=en"],"dc:subject":["Invasive plants -- Tennessee","Invasive plants -- Control -- Tennessee"],"dc:title":["A reevalution of Tennessee’s invasive plant species using SERNEC and Maximum Entropy species distribution models"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:46:59Z"}