{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/97642"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/97642","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"White-tailed deer hunting and habitat use in Robert Allerton Park","abstract":"Using Robert Allerton Park (RAP) and the immediately surrounding properties in east-central Illinois as a study site, my objectives were to investigate changes in deer habitat use and spatial clustering following 10 years of deer removal in RAP. I evaluated changes in annual deer counts within RAP’s three main habitat types, dry mesic upland forest, wet mesic floodplain forest and developed land using a generalized linear mixed model. Annual counts were categorized into two periods: no deer removal (1988-2004) and deer removal (2005-2015). Second, I used Moran’s I spatial autocorrelation measures to evaluate annual changes in deer clustering. To evaluate changes in spatial clustering as a result of deer removal, I used Getis-Ord General Gi* hot spot analysis to compare spatial clustering between periods of no removal and removal. As expected, my results indicate that the number of deer removed annually decreased deer count in RAP. When analyzed by period, deer removal affected deer count, however, this impact varied between habitat types. Wet mesic floodplain forest and developed areas experienced insignificant reductions in deer count between periods whereas dry mesic upland forested habitats experienced significant reductions. Moreover, I detected an increasing trend in annual deer clustering across the study area prior to deer removal. Once the removal program was implemented, I observed a decrease in deer clustering across years. Changes were evident in both cluster location and size across the study site between periods. In conclusion, more deer were observed in wet mesic floodplain forest and developed land following removal which could be explained by the deer removal program, preferential habitat selection, temporal changes in understory quality or a combination of these factors.","abstract_html":"Using Robert Allerton Park (RAP) and the immediately surrounding properties in east-central Illinois as a study site, my objectives were to investigate changes in deer habitat use and spatial clustering following 10 years of deer removal in RAP. I evaluated changes in annual deer counts within RAP’s three main habitat types, dry mesic upland forest, wet mesic floodplain forest and developed land using a generalized linear mixed model. Annual counts were categorized into two periods: no deer removal (1988-2004) and deer removal (2005-2015). Second, I used Moran’s I spatial autocorrelation measures to evaluate annual changes in deer clustering. To evaluate changes in spatial clustering as a result of deer removal, I used Getis-Ord General Gi* hot spot analysis to compare spatial clustering between periods of no removal and removal. As expected, my results indicate that the number of deer removed annually decreased deer count in RAP. When analyzed by period, deer removal affected deer count, however, this impact varied between habitat types. Wet mesic floodplain forest and developed areas experienced insignificant reductions in deer count between periods whereas dry mesic upland forested habitats experienced significant reductions. Moreover, I detected an increasing trend in annual deer clustering across the study area prior to deer removal. Once the removal program was implemented, I observed a decrease in deer clustering across years. Changes were evident in both cluster location and size across the study site between periods. In conclusion, more deer were observed in wet mesic floodplain forest and developed land following removal which could be explained by the deer removal program, preferential habitat selection, temporal changes in understory quality or a combination of these factors.","abstract_has_math":false,"creators":["Thompson, Noelle E"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Animal Sciences","degree_department":null,"school":null,"contributors":["Novakofski, Jan E.","Mateus-Pinilla, Nohra E.","Green, Michelle L.","O'Hara Ruiz, Marilyn"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-08-10T19:52:26Z","date_published":"2017-08-10T19:52:26Z","updated_at":"2026-07-22T22:24:34Z","subjects":["Hunting","White-tailed deer","Habitat use","Spatial clustering","Deer removal","Culling"],"languages":["en"],"rights":["Copyright 2017 Noelle Thompson"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/97642","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Novakofski, Jan E.","Mateus-Pinilla, Nohra E.","Green, Michelle L.","O'Hara Ruiz, Marilyn"]},{"key":"dc:creator","label":"Author","values":["Thompson, Noelle E"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2017-08-10T19:52:26Z","2019-08-11T09:15:35Z","2017-04-28","2017-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Animal Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Hunting","White-tailed deer","Habitat use","Spatial clustering","Deer removal","Culling"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2017 Noelle Thompson"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/97642"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Using Robert Allerton Park (RAP) and the immediately surrounding properties in east-central Illinois as a study site, my objectives were to investigate changes in deer habitat use and spatial clustering following 10 years of deer removal in RAP. I evaluated changes in annual deer counts within RAP’s three main habitat types, dry mesic upland forest, wet mesic floodplain forest and developed land using a generalized linear mixed model. Annual counts were categorized into two periods: no deer removal (1988-2004) and deer removal (2005-2015). Second, I used Moran’s I spatial autocorrelation measures to evaluate annual changes in deer clustering. To evaluate changes in spatial clustering as a result of deer removal, I used Getis-Ord General Gi* hot spot analysis to compare spatial clustering between periods of no removal and removal. As expected, my results indicate that the number of deer removed annually decreased deer count in RAP. When analyzed by period, deer removal affected deer count, however, this impact varied between habitat types. Wet mesic floodplain forest and developed areas experienced insignificant reductions in deer count between periods whereas dry mesic upland forested habitats experienced significant reductions. Moreover, I detected an increasing trend in annual deer clustering across the study area prior to deer removal. Once the removal program was implemented, I observed a decrease in deer clustering across years. Changes were evident in both cluster location and size across the study site between periods. In conclusion, more deer were observed in wet mesic floodplain forest and developed land following removal which could be explained by the deer removal program, preferential habitat selection, temporal changes in understory quality or a combination of these factors.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-05-01","The student, Noelle Thompson, accepted the attached license on 2017-04-27 at 17:17.","The student, Noelle Thompson, submitted this Thesis for approval on 2017-04-27 at 17:25.","This Thesis was approved for publication on 2017-04-28 at 10:36.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11127 on 2017-08-10 at 14:32:47","Made available in DSpace on 2017-08-10T19:52:26Z (GMT). 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I evaluated changes in annual deer counts within RAP’s three main habitat types, dry mesic upland forest, wet mesic floodplain forest and developed land using a generalized linear mixed model. Annual counts were categorized into two periods: no deer removal (1988-2004) and deer removal (2005-2015). Second, I used Moran’s I spatial autocorrelation measures to evaluate annual changes in deer clustering. To evaluate changes in spatial clustering as a result of deer removal, I used Getis-Ord General Gi* hot spot analysis to compare spatial clustering between periods of no removal and removal. As expected, my results indicate that the number of deer removed annually decreased deer count in RAP. When analyzed by period, deer removal affected deer count, however, this impact varied between habitat types. Wet mesic floodplain forest and developed areas experienced insignificant reductions in deer count between periods whereas dry mesic upland forested habitats experienced significant reductions. Moreover, I detected an increasing trend in annual deer clustering across the study area prior to deer removal. Once the removal program was implemented, I observed a decrease in deer clustering across years. Changes were evident in both cluster location and size across the study site between periods. In conclusion, more deer were observed in wet mesic floodplain forest and developed land following removal which could be explained by the deer removal program, preferential habitat selection, temporal changes in understory quality or a combination of these factors.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-05-01","The student, Noelle Thompson, accepted the attached license on 2017-04-27 at 17:17.","The student, Noelle Thompson, submitted this Thesis for approval on 2017-04-27 at 17:25.","This Thesis was approved for publication on 2017-04-28 at 10:36.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11127 on 2017-08-10 at 14:32:47","Made available in DSpace on 2017-08-10T19:52:26Z (GMT). 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