Factors Affecting the Abundance of a Declining Grassland Bird: Implications for Recovery Strategy Planning and Implementation

dc.contributor.advisorNudds, Thomas
dc.contributor.advisorCrawford, Steve
dc.contributor.authorEthier, Danielle Marie
dc.date.accessioned2016-08-29T13:27:02Z
dc.date.available2016-08-29T13:27:02Z
dc.date.copyright2016-08
dc.date.created2016-08-22
dc.date.issued2016-08-29
dc.degree.departmentDepartment of Integrative Biologyen_US
dc.degree.grantorUniversity of Guelphen_US
dc.degree.nameDoctor of Philosophyen_US
dc.degree.programmeIntegrative Biologyen_US
dc.description.abstractUncertainty is pervasive in all conservation decisions, the systematic treatment of which is necessary when evaluating the causes of species endangerment and deciding on appropriate actions to better ensure persistence. In Canada, a guiding principal of endangered species legislation for reducing uncertainty is adaptive management; however, adaptive management is not explicit in the development and application of most recovery strategies. To set the context for adaptive management recovery programming for at-risk species in Ontario, Canada, I synthesized existing knowledge, articulate and test critical uncertainties as hypotheses, and begin model development to predict expected outcomes of management alternatives, using the geo-politically defined population of Bobolink (Dolichonyx oryzivorus) in Ontario as a case study. Specifically, in Chapter 1, I combine evidence from empirical studies and expert judgement to model causal mechanisms driving Bobolink abundance dynamics and characterize the structural complexity of the management system. In Chapter 2, I spatially resolved Bobolink abundance trends to determine which areas of the province are contributing most substantially to overall abundance decline, and which presently satisfy recovery targets. In Chapter 3, I examined spatio-temporal variability in landscape pattern and processes to determine by which mechanism(s), and to what extent, changes in quantity and quality of agricultural grassland habitats have contributed to regional changes in abundance. Finally, in Chapter 4, I developed regionally scaled habitat suitability index (HSI) models to facilitate development of predictive population viability models. HSI models were used to evaluate to what extent lower-order proxies for processes of habitat selection influence patterns in abundance regionally. My research highlights how a science-based approach to recovery strategy planning can more effectively identify and address uncertainties in knowledge, and be used as an avenue to set the foundation of an adaptive management program.en_US
dc.description.sponsorshipOntario Ministry of Natural Resources and Forestry
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada - post-graduate scholarship
dc.description.sponsorshipUniversity of Guelph Dean's Tri-council Scholarship
dc.description.sponsorshipI.O.D.E. War Memorial Doctorate Scholarship.
dc.identifier.urihttp://hdl.handle.net/10214/9899
dc.language.isoenen_US
dc.publisherUniversity of Guelphen_US
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectadaptive resource managementen_US
dc.subjectagricultural ecosystemsen_US
dc.subjectgrassland birdsen_US
dc.subjecthabitat suitability index (HSI) modelen_US
dc.subjecthierarchical modellingen_US
dc.subjectmanagement planningen_US
dc.subjectpopulation declineen_US
dc.subjectspecies at risken_US
dc.subjectSpatio-temporalen_US
dc.subjectstructured decision makingen_US
dc.titleFactors Affecting the Abundance of a Declining Grassland Bird: Implications for Recovery Strategy Planning and Implementationen_US
dc.typeThesisen_US

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