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Exploring neglected places enabling conservation crime through place network investigations
Elle Jingjing Xu1, Dat Tien Trong Cao2, Xin Xu1
1Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA.
Integrating community knowledge with place network investigations (PNI) improved understanding of wildlife poaching hotspots. Local villagers provided more insights than experts, revealing crucial
Area of Science:
- Conservation science
- Criminology
- Human geography
Background:
- Existing conservation crime knowledge often relies heavily on expert elicitation.
- Integrating local community knowledge offers a more comprehensive understanding of conservation crimes.
Purpose of the Study:
- To adapt and apply place network investigations (PNI) for gathering community and expert knowledge on wildlife poaching.
- To compare spatial knowledge of crime-associated places between local villagers and conservation experts.
- To identify spatial patterns and clusters of poaching activities around Pù Mát National Park, Vietnam.
Main Methods:
- Utilized participatory mapping to identify four crime-associated place types: corruption spots, comfort spaces, convergence settings, and crime sites.
- Compared knowledge data gathered from local communities and conservation experts.
- Analyzed spatial autocorrelation of identified crime-associated places.
Main Results:
- Identified previously neglected poaching-associated places extending beyond national park boundaries.
- Community members provided more extensive knowledge than experts, especially regarding convergence settings and corruption spots.
- Three crime-associated place types exhibited positive spatial autocorrelation, highlighting key intervention priorities.
Conclusions:
- A participatory approach enhances stakeholder knowledge exchange and broadens the understanding of poaching-associated spaces.
- Findings suggest theoretical advancements in understanding spatial commonalities and distinctions between conservation and violent crime.
- The adapted PNI model offers a replicable strategy for conservation crime prevention.
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