{"id":{"repo_id":"york","oai_identifier":"oai:yorkspace.library.yorku.ca:10315/33344"},"canonical_url":"https://search.dev.ndltd.org/etd/york/oai:yorkspace.library.yorku.ca:10315/33344","repository":{"repo_id":"york","name":"York University","base_url":"https://yorkspace.library.yorku.ca/oai/request"},"display":{"title":"Investigating the Effects of Urban Features on Bird Window Collisions","abstract":"Migrant bird species stopping over in urban locations are threatened by a number of anthropogenic causes of mortality, including collisions into reflective glass windows. Annual avian mortality rate, surrounding landscaping, and building characteristics that can potentially predict mortality rate were evaluated on mid-rises on the York University Keele Campus. I predicted that frequency of collisions increases with (1) higher proportional vegetation and proximity of vegetation to buildings, and (2) increased window area. After accounting for surveyor bias and predator removal, the rate of collision was 7.7 4 SD birds/building/year. A negative binomial GLM determined collision frequency to be significantly predicted by proportional vegetation area, distance to vegetation, window area and wall vegetation. Significant interactions occurred between proportional vegetation area and season, distance to vegetation and window type, and wall vegetation and window area. It is strongly recommended that mitigation measures be implemented on high mortality buildings through visual markers.","abstract_html":"Migrant bird species stopping over in urban locations are threatened by a number of anthropogenic causes of mortality, including collisions into reflective glass windows. Annual avian mortality rate, surrounding landscaping, and building characteristics that can potentially predict mortality rate were evaluated on mid-rises on the York University Keele Campus. I predicted that frequency of collisions increases with (1) higher proportional vegetation and proximity of vegetation to buildings, and (2) increased window area. After accounting for surveyor bias and predator removal, the rate of collision was 7.7 4 SD birds/building/year. A negative binomial GLM determined collision frequency to be significantly predicted by proportional vegetation area, distance to vegetation, window area and wall vegetation. Significant interactions occurred between proportional vegetation area and season, distance to vegetation and window type, and wall vegetation and window area. It is strongly recommended that mitigation measures be implemented on high mortality buildings through visual markers.","abstract_has_math":false,"creators":["Chin, Sean"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Stutchbury, Bridget J."],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-07-26","date_published":"2017-07-26","updated_at":"2026-07-24T06:34:05Z","subjects":["Wildlife conservation"],"languages":["en"],"rights":["Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10315/33344","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Stutchbury, Bridget J."]},{"key":"dc:creator","label":"Author","values":["Chin, Sean"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-07-26T15:30:33Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-07-26T15:30:33Z"]},{"key":"dc:date.issued","label":"Date","values":["2017-07-26"]},{"key":"dc:type","label":"Dc Type","values":["Electronic Thesis or Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Wildlife conservation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10315/33344"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Migrant bird species stopping over in urban locations are threatened by a number of anthropogenic causes of mortality, including collisions into reflective glass windows. Annual avian mortality rate, surrounding landscaping, and building characteristics that can potentially predict mortality rate were evaluated on mid-rises on the York University Keele Campus. I predicted that frequency of collisions increases with (1) higher proportional vegetation and proximity of vegetation to buildings, and (2) increased window area. After accounting for surveyor bias and predator removal, the rate of collision was 7.7 4 SD birds/building/year. A negative binomial GLM determined collision frequency to be significantly predicted by proportional vegetation area, distance to vegetation, window area and wall vegetation. Significant interactions occurred between proportional vegetation area and season, distance to vegetation and window type, and wall vegetation and window area. It is strongly recommended that mitigation measures be implemented on high mortality buildings through visual markers."]},{"key":"dc:title","label":"Title","values":["Investigating the Effects of Urban Features on Bird Window Collisions"]}]}],"canonical_facts":{"dc:contributor.advisor":["Stutchbury, Bridget J."],"dc:creator":["Chin, Sean"],"dc:date.accessioned":["2017-07-26T15:30:33Z"],"dc:date.available":["2017-07-26T15:30:33Z"],"dc:date.issued":["2017-07-26"],"dc:description.abstract":["Migrant bird species stopping over in urban locations are threatened by a number of anthropogenic causes of mortality, including collisions into reflective glass windows. Annual avian mortality rate, surrounding landscaping, and building characteristics that can potentially predict mortality rate were evaluated on mid-rises on the York University Keele Campus. I predicted that frequency of collisions increases with (1) higher proportional vegetation and proximity of vegetation to buildings, and (2) increased window area. After accounting for surveyor bias and predator removal, the rate of collision was 7.7 4 SD birds/building/year. A negative binomial GLM determined collision frequency to be significantly predicted by proportional vegetation area, distance to vegetation, window area and wall vegetation. Significant interactions occurred between proportional vegetation area and season, distance to vegetation and window type, and wall vegetation and window area. It is strongly recommended that mitigation measures be implemented on high mortality buildings through visual markers."],"dc:identifier.uri":["http://hdl.handle.net/10315/33344"],"dc:language.iso":["en"],"dc:rights":["Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests."],"dc:subject":["Wildlife conservation"],"dc:title":["Investigating the Effects of Urban Features on Bird Window Collisions"],"dc:type":["Electronic Thesis or Dissertation"]},"updated_at":"2026-07-24T06:34:05Z"}