{"id":{"repo_id":"ku","oai_identifier":"oai:kuscholarworks.ku.edu:1808/38658"},"canonical_url":"https://search.dev.ndltd.org/etd/ku/oai:kuscholarworks.ku.edu:1808/38658","repository":{"repo_id":"ku","name":"University of Kansas","base_url":"https://kuscholarworks.ku.edu/server/oai/request"},"display":{"title":"Cross Environmental Variable Synchrony","abstract":"Spatial synchrony, often called population synchrony and henceforth referred to simply as synchrony, is when populations of the same species at different locations exhibit similar fluctuations through time in density or abundance. Synchrony is often measured as the correlation between population abundance/density time series in different locations. The three main, classically recognized mechanisms of synchrony are: dispersal among populations; the response of populations to environmental factors, such as climatic variables, which are correlated over space; and trophic interactions with other synchronous or mobile species. The second mechanism is called the Moran effect; the Moran effect is, arguably, the most common and important mechanism of synchrony over large spatial scales. Cross environmental variable synchrony (CEV synchrony) is when one environmental variable in one location is correlated through time with another, distinct environmental variable in another location. Here, we systematically assessed the presence and nature of CEV synchrony in temperature and rainfall variables which are commonly important for many population systems using 100-year weather data from weather stations in North America to understanding the potential impacts of CEV synchrony. The result of our findings provided the first step toward understanding what impacts CEV synchrony may have on population synchrony in real systems.","abstract_html":"Spatial synchrony, often called population synchrony and henceforth referred to simply as synchrony, is when populations of the same species at different locations exhibit similar fluctuations through time in density or abundance. Synchrony is often measured as the correlation between population abundance/density time series in different locations. The three main, classically recognized mechanisms of synchrony are: dispersal among populations; the response of populations to environmental factors, such as climatic variables, which are correlated over space; and trophic interactions with other synchronous or mobile species. The second mechanism is called the Moran effect; the Moran effect is, arguably, the most common and important mechanism of synchrony over large spatial scales. Cross environmental variable synchrony (CEV synchrony) is when one environmental variable in one location is correlated through time with another, distinct environmental variable in another location. Here, we systematically assessed the presence and nature of CEV synchrony in temperature and rainfall variables which are commonly important for many population systems using 100-year weather data from weather stations in North America to understanding the potential impacts of CEV synchrony. The result of our findings provided the first step toward understanding what impacts CEV synchrony may have on population synchrony in real systems.","abstract_has_math":false,"creators":["ADEBOJE, ADEOLA O"],"institution":"University of Kansas","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Reuman, Daniel C"],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-12-31","date_published":"2023-12-31","updated_at":"2026-07-24T02:47:15Z","subjects":["Environmental studies","Climate change","Climate","Cross Environmental Variable","Moran effect","Population","Spatial","Synchrony"],"languages":["en"],"rights":["Copyright held by the author."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["http://dissertations.umi.com/ku:19295"],"render_values":[{"text":"http://dissertations.umi.com/ku:19295","href":"http://dissertations.umi.com/ku:19295","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/1808/38658","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Reuman, Daniel C"]},{"key":"dc:creator","label":"Author","values":["ADEBOJE, ADEOLA O"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2026-04-24T16:14:15Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2026-04-24T16:14:15Z"]},{"key":"dc:date.issued","label":"Date","values":["2023-12-31"]},{"key":"dc:publisher","label":"Institution","values":["University of Kansas"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Environmental studies","Climate change","Climate","Cross Environmental Variable","Moran effect","Population","Spatial","Synchrony"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright held by the author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["http://dissertations.umi.com/ku:19295"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1808/38658"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Spatial synchrony, often called population synchrony and henceforth referred to simply as synchrony, is when populations of the same species at different locations exhibit similar fluctuations through time in density or abundance. Synchrony is often measured as the correlation between population abundance/density time series in different locations. The three main, classically recognized mechanisms of synchrony are: dispersal among populations; the response of populations to environmental factors, such as climatic variables, which are correlated over space; and trophic interactions with other synchronous or mobile species. The second mechanism is called the Moran effect; the Moran effect is, arguably, the most common and important mechanism of synchrony over large spatial scales. Cross environmental variable synchrony (CEV synchrony) is when one environmental variable in one location is correlated through time with another, distinct environmental variable in another location. Here, we systematically assessed the presence and nature of CEV synchrony in temperature and rainfall variables which are commonly important for many population systems using 100-year weather data from weather stations in North America to understanding the potential impacts of CEV synchrony. The result of our findings provided the first step toward understanding what impacts CEV synchrony may have on population synchrony in real systems."]},{"key":"dc:title","label":"Title","values":["Cross Environmental Variable Synchrony"]}]}],"canonical_facts":{"dc:contributor.advisor":["Reuman, Daniel C"],"dc:creator":["ADEBOJE, ADEOLA O"],"dc:date.accessioned":["2026-04-24T16:14:15Z"],"dc:date.available":["2026-04-24T16:14:15Z"],"dc:date.issued":["2023-12-31"],"dc:description.abstract":["Spatial synchrony, often called population synchrony and henceforth referred to simply as synchrony, is when populations of the same species at different locations exhibit similar fluctuations through time in density or abundance. Synchrony is often measured as the correlation between population abundance/density time series in different locations. The three main, classically recognized mechanisms of synchrony are: dispersal among populations; the response of populations to environmental factors, such as climatic variables, which are correlated over space; and trophic interactions with other synchronous or mobile species. The second mechanism is called the Moran effect; the Moran effect is, arguably, the most common and important mechanism of synchrony over large spatial scales. Cross environmental variable synchrony (CEV synchrony) is when one environmental variable in one location is correlated through time with another, distinct environmental variable in another location. Here, we systematically assessed the presence and nature of CEV synchrony in temperature and rainfall variables which are commonly important for many population systems using 100-year weather data from weather stations in North America to understanding the potential impacts of CEV synchrony. The result of our findings provided the first step toward understanding what impacts CEV synchrony may have on population synchrony in real systems."],"dc:identifier.other":["http://dissertations.umi.com/ku:19295"],"dc:identifier.uri":["https://hdl.handle.net/1808/38658"],"dc:language.iso":["en"],"dc:publisher":["University of Kansas"],"dc:rights":["Copyright held by the author."],"dc:subject":["Environmental studies","Climate change","Climate","Cross Environmental Variable","Moran effect","Population","Spatial","Synchrony"],"dc:title":["Cross Environmental Variable Synchrony"],"dc:type":["Thesis"]},"updated_at":"2026-07-24T02:47:15Z"}