- Title
- Spatial patterns of human-elephant conflict and elephant space-use in Liwonde National Park, Malawi
- Creator
- Voges, Mignon
- Subject
- Human-animal relationships
- Subject
- Wildlife management -- Malawi
- Subject
- Wildlife conservation -- Malawi
- Date Issued
- 2023-12
- Date
- 2023-12
- Type
- Master's theses
- Type
- text
- Identifier
- http://hdl.handle.net/10948/62721
- Identifier
- vital:72933
- Description
- Human-wildlife conflict (HWC) is a prevailing issue worldwide, threatening the livelihood of the affected human communities, and the persistence of wildlife populations and habitat. Human-elephant conflict (HEC) is particularly challenging, given the damage or harm these large animals can cause to human communities. Moreover, HEC threatens the safety of elephant populations as elephants can be injured or killed when people retaliate. Several studies have therefore been conducted to investigate HEC spatiotemporal patterns in order to better understand it and to develop mitigation measures. These studies predominantly used non-spatial statistics or global regressions to investigate HEC patterns and drivers. The general understanding of HEC patterns and drivers are therefore based on general predictions derived from global regressions that assume stationarity of the relationship between HEC and its drivers across the landscape. Previous studies using global regressions may therefore have missed or misidentified important drivers of the spatial patterns, making the resultant global regression models misleading. The aim of this study was therefore to investigate the spatiotemporal patterns and drivers of HEC adjacent to Liwonde National Park using spatial analytical tools that account for the spatial nature of the data and the spatial variation in conflict drivers across a landscape. Using a Geographically Weighted Regression, I identified vegetation quality, season, and distance to seasonal water as drivers of HEC hotspots adjacent to Liwonde. HEC was more intense in areas with higher quality vegetation (compared to vegetation quality inside the Park) and areas that were closer to seasonal water. The relationship between HEC hotspots and these drivers varied at the patch-level and according to season. My findings suggest that HEC is more complex than the general patterns described with global regressions. The localized patterns and drivers of HEC hotspots identified, reflect trade-off between elephants securing rewards (crops), while reducing risks (encountering humans), as expected under forage optimality models. The understanding of elephant adaptation and trade-offs in human landscapes gained from my study, along with the approach I have adopted, can be applied to other HEC study sites, and help guide HEC management in Liwonde. This approach can also be applied to analysis of other forms of HWC, greatly improving HWC mitigation.
- Description
- Thesis (MSc) -- Faculty of Science, School of Natural Resource Management, 2023
- Format
- computer
- Format
- online resource
- Format
- application/pdf
- Format
- 1 online resource (83 pages)
- Format
- Publisher
- Nelson Mandela University
- Publisher
- Faculty of Science
- Language
- English
- Rights
- Nelson Mandela University
- Rights
- All Rights Reserved
- Rights
- Open Access
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NMU School of Environmental Sciences
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Voges, M.pdf | 2 MB | Adobe Acrobat PDF | View Details Download |