Quantifying Human and Ecological Dimensions to Advance Holistic Understanding of Prairie Lake Ecosystems

dc.contributor.advisorWissel, Bjoern
dc.contributor.advisorLeavitt, Peter
dc.contributor.authorNanayakkara, Lushani Chaya
dc.contributor.committeememberWeger, Harold
dc.contributor.committeememberStavrinides, John
dc.contributor.committeememberDiaz, Harry
dc.contributor.externalexaminerRusak, James A
dc.date.accessioned2018-12-05T18:05:04Z
dc.date.available2018-12-05T18:05:04Z
dc.date.issued2018-05
dc.descriptionA Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Biology, University of Regina. xvi, 160 p.en_US
dc.description.abstractSuccessfully managing the impacts of changing environmental conditions on complex socio-ecological systems (SES) requires identifying, quantifying, and understanding the multitude of threats facing such systems. Research that transcends disciplinary boundaries is the best means of accomplishing this task. Therefore, in this study, I combined multiple methods from the social sciences and natural sciences to quantify the human and ecological dimensions of prairie lakes in Saskatchewan, Canada. Firstly, to advance understanding of lake-use patterns and users’ perceptions of these systems, I designed and distributed a stakeholder survey. Results indicate primary lakeuses in this region are recreational, particularly fishing. Walleye (Sander vitreus) are targeted more than native fishes such as northern pike (Esox lucius) or yellow perch (Perca flavscens). Overall, respondents expressed concerns about pollution and urbanization, but invasive species and climate change were of minimal concern. Next, I quantified the current status and potential resilience of the aforementioned game fish species to changing environmental conditions using three parameters. I used Bayesian mixing models (MixSIAR) to evaluate resource-use, while body condition was expressed as relative weight indices (Wr), and parasite loads were enumerated via gut analyses. Based on the results, stocked walleye appear to be less resilient to environmental variability compared to naturally occurring species. This suggests that walleye will need to be continuously stocked in the future, particularly under climate change scenarios. Finally, because invasive species are expected to significantly impact game fish populations in temperate regions, and humans being key vectors in the spread and ii establishment of invasive species, I examined stakeholder knowledge about aquatic invasive species (AIS). Results from a survey questionnaire indicated low education and communication success, as respondents exhibited substantial knowledge gaps regarding non-native mussels and key preventative behaviours. Furthermore, I identified correlates of AIS knowledge and recommend exploitation of these predictors to improve effectiveness of education, outreach, and communication efforts. Based on the collated results from this interdisciplinary study, I recommend development of management strategies that focus on ensuring the long-term sustainability of recreational angling, improving AIS knowledge through re-structured education campaigns, and enhancing efforts for detecting AIS transfer. Overall, utilizing an interdisciplinary approach to examine the human and ecosystem dimensions of prairie lakes advanced comprehensive understanding of these complex SES.en_US
dc.description.authorstatusStudenten
dc.description.peerreviewyesen
dc.identifier.tcnumberTC-SRU-8524
dc.identifier.thesisurlhttps://ourspace.uregina.ca/bitstream/handle/10294/8524/Nanayakkara_Lushani_PhD_BIOL_Fall2018.pdf
dc.identifier.urihttps://hdl.handle.net/10294/8524
dc.language.isoenen_US
dc.publisherFaculty of Graduate Studies and Research, University of Reginaen_US
dc.titleQuantifying Human and Ecological Dimensions to Advance Holistic Understanding of Prairie Lake Ecosystemsen_US
dc.typeThesisen
thesis.degree.departmentDepartment of Biologyen_US
thesis.degree.disciplineBiologyen_US
thesis.degree.grantorUniversity of Reginaen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophy (PhD)en_US

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