Making moves from conflict to coexistence
Wildlife is a common asset, but its negative value, such as human-wildlife conflict (HWC), is overshadowing its positive values linked to conservation and local development perspectives. HWC arises from a combination of anthropogenic activities (such as unprecedented expansion of human settlements, unsuitable land use practices and other human activities) as well as problematic behaviour of certain wildlife species. It not only causes severe implications for livelihoods of local/indigenous communities sharing the same habitat as wild animals, but also hurdles the success of conservation initiatives. Hence, there needs to be found a balance between human needs (safety, wellbeing, food security, etc.) and wildlife welfare in order to move from a logic of conflict to co-existence. This behaviour change requires a global and holistic approach. To achieve this, a mitigation framework has to take the strong temporal and spatial dynamics of HWC into-account, while also considering the needs and expectations of affected people as well as the wild species with which they share their habitat. Based on a decision support system approach, its design combines short and long-term intervention measures, providing guidance on how to combine practical solutions to avoid and minimize risky situations, while reducing and offsetting the cost of co-existing with wildlife. At community level, the challenge remains to build a collective vision on how to co-exist with wildlife based on a locally designed mitigation strategy. This is achieved by the design of a new application; its off-line use enabling an iterative field-based step-by-step approach: understanding the local situation (diagnostic phase), co-developing mitigation strategies based on traditional knowledge (strategy design phase), facilitating the monitoring and evaluation based on impact measure, hence enabling a collaborative learning process for adaptive management. Keywords: Conflict, Biodiversity conservation, Adaptive and integrated management, Monitoring and data collection, Social protection ID: 3487270
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| Format: | Document biblioteca |
| Language: | English |
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FAO ;
2022
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| Online Access: | https://openknowledge.fao.org/handle/20.500.14283/cc4462en http://www.fao.org/3/cc4462en/cc4462en.pdf |
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