University of Tennessee at Chattanooga
A reevalution of Tennessee’s invasive plant species using SERNEC and Maximum Entropy species distribution models
Abstract
dc:description.abstractThe 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.
Degree
thesis:*- Grantor dc:publisher
- University of Tennessee at Chattanooga
- Year dc:date.available
- 2021
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Alley, Courtney
- Contributors dc:contributor
-
- Shaw, Joey
- Hunt, Nyssa; Hossain, A.K.M. Azad; Heard, Matthew
- College of Arts and Sciences
Subjects
dc:subject × 2Rights
dc:rights- Language dc:language
- English, eng
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholar.utc.edu/theses/626
- OAI identifier oai:identifier
- oai:scholar.utc.edu:theses-1785