{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1722"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1722","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Development and assessment of predictive spatial models for a rare Tennessee anuran: Barking treefrog (Hyla gratiosa)","abstract":"In Tennessee, the Barking Treefrog (Hyla gratiosa) is listed as both rare and vulnerable, and more field data is needed to elucidate its distribution. Predictive modeling using the program MaxEnt provided results for models that guided field sampling to potential presence locations. From April-August 2017, 126 sites (63 historical; 63 predicted) were visited monthly and sampled for frog calls according to a standardized protocol. Field results revealed H. gratiosa’s auditory presence at 23 out of 63 historic sites and at nine out of 63 predicted sites. While other predictive models were also generated, MaxEnt was demonstrated to be most precise in predicting presence likelihood. Weighted regression analysis showed that shrub/scrub and woody wetland coverages were the most positively associated with presence. The results suggest that H. gratiosa is not as relatively abundant as some frog species throughout ecologically relevant landscapes in Tennessee.","abstract_html":"In Tennessee, the Barking Treefrog (Hyla gratiosa) is listed as both rare and vulnerable, and more field data is needed to elucidate its distribution. Predictive modeling using the program MaxEnt provided results for models that guided field sampling to potential presence locations. From April-August 2017, 126 sites (63 historical; 63 predicted) were visited monthly and sampled for frog calls according to a standardized protocol. Field results revealed H. gratiosa’s auditory presence at 23 out of 63 historic sites and at nine out of 63 predicted sites. While other predictive models were also generated, MaxEnt was demonstrated to be most precise in predicting presence likelihood. Weighted regression analysis showed that shrub/scrub and woody wetland coverages were the most positively associated with presence. The results suggest that H. gratiosa is not as relatively abundant as some frog species throughout ecologically relevant landscapes in Tennessee.","abstract_has_math":false,"creators":["Hunt, Nyssa R."],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Wilson, Thomas P.","Aborn, David A.; Carroll, Andrew","College of Arts and Sciences"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:46:51Z","subjects":["Hylidae -- Tennessee","Frogs","Barking treefrog"],"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/564","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Wilson, Thomas P.","Aborn, David A.; Carroll, Andrew","College of Arts and Sciences"]},{"key":"dc:creator","label":"Author","values":["Hunt, Nyssa R."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-08-01T07:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Hylidae -- Tennessee","Frogs","Barking treefrog"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["https://rightsstatements.org/page/InC/1.0/?language=en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/564"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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."]},{"key":"dc:description.abstract","label":"Abstract","values":["In Tennessee, the Barking Treefrog (Hyla gratiosa) is listed as both rare and vulnerable, and more field data is needed to elucidate its distribution. Predictive modeling using the program MaxEnt provided results for models that guided field sampling to potential presence locations. From April-August 2017, 126 sites (63 historical; 63 predicted) were visited monthly and sampled for frog calls according to a standardized protocol. Field results revealed H. gratiosa’s auditory presence at 23 out of 63 historic sites and at nine out of 63 predicted sites. While other predictive models were also generated, MaxEnt was demonstrated to be most precise in predicting presence likelihood. Weighted regression analysis showed that shrub/scrub and woody wetland coverages were the most positively associated with presence. The results suggest that H. gratiosa is not as relatively abundant as some frog species throughout ecologically relevant landscapes in Tennessee."]},{"key":"dc:title","label":"Title","values":["Development and assessment of predictive spatial models for a rare Tennessee anuran: Barking treefrog (Hyla gratiosa)"]}]}],"canonical_facts":{"dc:contributor":["Wilson, Thomas P.","Aborn, David A.; Carroll, Andrew","College of Arts and Sciences"],"dc:creator":["Hunt, Nyssa R."],"dc:date":["2018-08-01T07:00:00Z"],"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":["In Tennessee, the Barking Treefrog (Hyla gratiosa) is listed as both rare and vulnerable, and more field data is needed to elucidate its distribution. Predictive modeling using the program MaxEnt provided results for models that guided field sampling to potential presence locations. From April-August 2017, 126 sites (63 historical; 63 predicted) were visited monthly and sampled for frog calls according to a standardized protocol. Field results revealed H. gratiosa’s auditory presence at 23 out of 63 historic sites and at nine out of 63 predicted sites. While other predictive models were also generated, MaxEnt was demonstrated to be most precise in predicting presence likelihood. Weighted regression analysis showed that shrub/scrub and woody wetland coverages were the most positively associated with presence. The results suggest that H. gratiosa is not as relatively abundant as some frog species throughout ecologically relevant landscapes in Tennessee."],"dc:identifier":["https://scholar.utc.edu/theses/564"],"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":["Hylidae -- Tennessee","Frogs","Barking treefrog"],"dc:title":["Development and assessment of predictive spatial models for a rare Tennessee anuran: Barking treefrog (Hyla gratiosa)"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:46:51Z"}