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

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dc.contributor.advisor Nudds, Thomas
dc.contributor.advisor Crawford, Steve
dc.contributor.author Ethier, Danielle Marie
dc.date.accessioned 2016-08-29T13:27:02Z
dc.date.available 2016-08-29T13:27:02Z
dc.date.copyright 2016-08
dc.date.created 2016-08-22
dc.date.issued 2016-08-29
dc.identifier.uri http://hdl.handle.net/10214/9899
dc.description.abstract Uncertainty 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.sponsorship This research was funded by the Ontario Ministry of Natural Resources and Forestry, Natural Sciences and Engineering Research Council of Canada (NSERC) post-graduate scholarship, University of Guelph Dean’s Tri-council Scholarship, and an I.O.D.E. War Memorial Doctorate Scholarship. en_US
dc.language.iso en en_US
dc.subject adaptive resource management en_US
dc.subject agricultural ecosystems en_US
dc.subject grassland birds en_US
dc.subject habitat suitability index (HSI) model en_US
dc.subject hierarchical modelling en_US
dc.subject management planning en_US
dc.subject population decline en_US
dc.subject Research Subject Categories en_US
dc.subject species at risk en_US
dc.subject Spatio-temporal en_US
dc.subject structured decision making en_US
dc.title Factors Affecting the Abundance of a Declining Grassland Bird: Implications for Recovery Strategy Planning and Implementation en_US
dc.type Thesis en_US
dc.degree.programme Integrative Biology en_US
dc.degree.name Doctor of Philosophy en_US
dc.degree.department Department of Integrative Biology en_US
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