{"id":{"repo_id":"calgary","oai_identifier":"oai:ucalgary.scholaris.ca:1880/111615"},"canonical_url":"https://search.dev.ndltd.org/etd/calgary/oai:ucalgary.scholaris.ca:1880/111615","repository":{"repo_id":"calgary","name":"University of Calgary","base_url":"https://ucalgary.scholaris.ca/server/oai/request"},"display":{"title":"Testing for Unimodal Relationships between Diversity, Disturbance, and Productivity","abstract":"Many unimodal ecological theories, though implemented into resource management, remain contentious in the literature and are often analyzed with inappropriate techniques, namely quadratic regressions. Two of these theories, the intermediate disturbance and productivity hypotheses, are assessed as case studies to explore the hypotheses themselves, characterize the conditions in which various relationship shapes take place, and underscore the disparities between the analytical techniques that can be used to detect them. The power of various traditional and novel techniques used to distinguish between unimodal versus monotonic relationships is simulated to conclusively determine which are the most appropriate. The two-lines test has been found to display the most powerful detection of unimodal shapes and breakpoints regressions to have the most power to detect monotonic, concave shapes. According to these tests, diversity-disturbance and diversity-productivity relationships display primarily peaked shapes, dependent on various characteristics. The quadratic regression, even when paired with the Mitchell-Olds &amp; Shaw test, is an inefficient and inappropriate test for unimodality. While the intermediate disturbance and productivity hypotheses are too simplistic, misused, and misunderstood, the findings within this thesis warrant further exploration into the scenarios in which they occur and can be implemented. Future analyses of unimodal hypotheses should consider the recommendations of technique usage within this thesis.","abstract_html":"Many unimodal ecological theories, though implemented into resource management, remain contentious in the literature and are often analyzed with inappropriate techniques, namely quadratic regressions. Two of these theories, the intermediate disturbance and productivity hypotheses, are assessed as case studies to explore the hypotheses themselves, characterize the conditions in which various relationship shapes take place, and underscore the disparities between the analytical techniques that can be used to detect them. The power of various traditional and novel techniques used to distinguish between unimodal versus monotonic relationships is simulated to conclusively determine which are the most appropriate. The two-lines test has been found to display the most powerful detection of unimodal shapes and breakpoints regressions to have the most power to detect monotonic, concave shapes. According to these tests, diversity-disturbance and diversity-productivity relationships display primarily peaked shapes, dependent on various characteristics. The quadratic regression, even when paired with the Mitchell-Olds &amp;amp; Shaw test, is an inefficient and inappropriate test for unimodality. While the intermediate disturbance and productivity hypotheses are too simplistic, misused, and misunderstood, the findings within this thesis warrant further exploration into the scenarios in which they occur and can be implemented. Future analyses of unimodal hypotheses should consider the recommendations of technique usage within this thesis.","abstract_has_math":false,"creators":["Tessier, Rachel Suzanne"],"institution":"Science","degree_name":"Master of Science (MSc)","degree_level":null,"degree_discipline":"Biological Sciences","degree_department":null,"school":null,"contributors":[],"advisors":["Fox, Jeremy W."],"committee_chairs":[],"committee_members":["Post, John R.","Yeaman, Sam","Galpern, Paul"],"year":2020,"date_issued":"2020-01-30","date_published":"2020-01-30","updated_at":"2026-07-24T01:30:38Z","subjects":["intermediate disturbance hypothesis","intermediate productivity hypothesis","unimodal"],"languages":["eng"],"rights":["University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["http://dx.doi.org/10.11575/PRISM/37552"],"render_values":[{"text":"http://dx.doi.org/10.11575/PRISM/37552","href":"http://dx.doi.org/10.11575/PRISM/37552","code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/1880/111615","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Fox, Jeremy W."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Post, John R.","Yeaman, Sam","Galpern, Paul"]},{"key":"dc:creator","label":"Author","values":["Tessier, Rachel Suzanne"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-06"]},{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2020-02-04T15:15:58Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2020-02-04T15:15:58Z"]},{"key":"dc:date.issued","label":"Date","values":["2020-01-30"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Calgary"]},{"key":"dc:type","label":"Dc Type","values":["master thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Biological Sciences"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MSc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Calgary"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["intermediate disturbance hypothesis","intermediate productivity hypothesis","unimodal"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.doi","label":"DOI","values":["http://dx.doi.org/10.11575/PRISM/37552"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1880/111615"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Many unimodal ecological theories, though implemented into resource management, remain contentious in the literature and are often analyzed with inappropriate techniques, namely quadratic regressions. Two of these theories, the intermediate disturbance and productivity hypotheses, are assessed as case studies to explore the hypotheses themselves, characterize the conditions in which various relationship shapes take place, and underscore the disparities between the analytical techniques that can be used to detect them. The power of various traditional and novel techniques used to distinguish between unimodal versus monotonic relationships is simulated to conclusively determine which are the most appropriate. The two-lines test has been found to display the most powerful detection of unimodal shapes and breakpoints regressions to have the most power to detect monotonic, concave shapes. According to these tests, diversity-disturbance and diversity-productivity relationships display primarily peaked shapes, dependent on various characteristics. The quadratic regression, even when paired with the Mitchell-Olds &amp; Shaw test, is an inefficient and inappropriate test for unimodality. While the intermediate disturbance and productivity hypotheses are too simplistic, misused, and misunderstood, the findings within this thesis warrant further exploration into the scenarios in which they occur and can be implemented. Future analyses of unimodal hypotheses should consider the recommendations of technique usage within this thesis."]},{"key":"dc:title","label":"Title","values":["Testing for Unimodal Relationships between Diversity, Disturbance, and Productivity"]}]}],"canonical_facts":{"dc:contributor.advisor":["Fox, Jeremy W."],"dc:contributor.committeemember":["Post, John R.","Yeaman, Sam","Galpern, Paul"],"dc:creator":["Tessier, Rachel Suzanne"],"dc:date":["2020-06"],"dc:date.accessioned":["2020-02-04T15:15:58Z"],"dc:date.available":["2020-02-04T15:15:58Z"],"dc:date.issued":["2020-01-30"],"dc:description.abstract":["Many unimodal ecological theories, though implemented into resource management, remain contentious in the literature and are often analyzed with inappropriate techniques, namely quadratic regressions. Two of these theories, the intermediate disturbance and productivity hypotheses, are assessed as case studies to explore the hypotheses themselves, characterize the conditions in which various relationship shapes take place, and underscore the disparities between the analytical techniques that can be used to detect them. The power of various traditional and novel techniques used to distinguish between unimodal versus monotonic relationships is simulated to conclusively determine which are the most appropriate. The two-lines test has been found to display the most powerful detection of unimodal shapes and breakpoints regressions to have the most power to detect monotonic, concave shapes. According to these tests, diversity-disturbance and diversity-productivity relationships display primarily peaked shapes, dependent on various characteristics. The quadratic regression, even when paired with the Mitchell-Olds &amp; Shaw test, is an inefficient and inappropriate test for unimodality. While the intermediate disturbance and productivity hypotheses are too simplistic, misused, and misunderstood, the findings within this thesis warrant further exploration into the scenarios in which they occur and can be implemented. Future analyses of unimodal hypotheses should consider the recommendations of technique usage within this thesis."],"dc:identifier.doi":["http://dx.doi.org/10.11575/PRISM/37552"],"dc:identifier.uri":["http://hdl.handle.net/1880/111615"],"dc:language.iso":["eng"],"dc:publisher.institution":["University of Calgary"],"dc:rights":["University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission."],"dc:subject":["intermediate disturbance hypothesis","intermediate productivity hypothesis","unimodal"],"dc:title":["Testing for Unimodal Relationships between Diversity, Disturbance, and Productivity"],"dc:type":["master thesis"],"thesis:degree_discipline":["Biological Sciences"],"thesis:degree_name":["Master of Science (MSc)"],"thesis:institution_name":["University of Calgary"]},"updated_at":"2026-07-24T01:30:38Z"}