Investigation of the Population Dynamics of Endangered Whooping Cranes In The Breeding Ground Wood Buffalo National Park: An Agent-Based Modelling Approach

dc.contributor.advisorStefanakis, Emmanuel
dc.contributor.authorKipirti, Mikail Onder
dc.contributor.committeememberYang, Hongzhou
dc.contributor.committeememberBayat, Sayeh
dc.date2024-05
dc.date.accessioned2024-04-30T16:53:08Z
dc.date.available2024-04-30T16:53:08Z
dc.date.issued2024-04-22
dc.description.abstractFor rare species to be saved for a self-sustaining ecology, it is crucial to understand how their populations work, especially in important locations like their breeding grounds. This study digs deep into the lives of the Whooping Cranes (Grus Americana) that only breed in the environment of Wood Buffalo National Park (WBNP) located in NWT/AB and are highly endangered and on the verge of extinction. Using a novel modelling technique called Agent-Based Modelling (ABM), this study gives a detailed look at how individual behaviours, relationships between species, and their environment all affect the population dynamics of endangered cranes. This research, which can be located at the intersection of ecology and computer modelling, employs actual population data of whooping cranes that are obtained from Canadian Wildlife Service (CWS), and ABM-ing approach to untangle the complex web of factors that affect the fate of whooping crane populations. This includes the biological features of whooping cranes, and the effect of climate change on reproduction success in Wood Buffalo National Park. Through rigorous ABM simulations, this approach not only catches the complexity of these correlations, but it also provides a flexible tool for simulating and testing different scenarios, which makes it possible to look at what might happen with different conservation tactics. ABM has given us some early insights that show how important it is for whooping cranes to understand breeding dynamics in Wood Buffalo National Park. These results show where conservation efforts should be directed and how important it is to protect and fix up these areas. Also, the dynamic nature of ABM shows how biological effects ripple through the ecosystem, giving a full picture of how various parts of this complex environment depend on each other. In short, this examination not only shows how the threatened whooping crane's population changes in the unique breeding ground in Wood Buffalo National Park, but it also shows how agent-based modelling in ecology could change things for the better for this species. By figuring out how the complex relationships and behaviours of whooping cranes work, this study not only helps to protect the species, but it also paves the way for more widespread uses of computational methods in ecological research. With the knowledge gained from this research, adaptive conservation methods could be employed to help the endangered whooping cranes have a self-sustaining population in their breeding ground.
dc.identifier.citationKipirti, M. O. (2024). Investigation of the population dynamics of endangered whooping cranes in the breeding ground Wood Buffalo National Park: an agent-based modelling approach (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.
dc.identifier.urihttps://hdl.handle.net/1880/118517
dc.language.isoen
dc.publisher.facultySchulich School of Engineering
dc.publisher.institutionUniversity of Calgary
dc.rightsUniversity 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.subjectAgent-Based Modelling
dc.subjectEcological Modelling
dc.subjectEndangered Species
dc.subject.classificationForestry and Wildlife
dc.titleInvestigation of the Population Dynamics of Endangered Whooping Cranes In The Breeding Ground Wood Buffalo National Park: An Agent-Based Modelling Approach
dc.typemaster thesis
thesis.degree.disciplineEngineering – Geomatics
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.accesssetbystudentI do not require a thesis withhold – my thesis will have open access and can be viewed and downloaded publicly as soon as possible.
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ucalgary_2024_kipirti_mikail.pdf
Size:
3.45 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.62 KB
Format:
Item-specific license agreed upon to submission
Description: