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Remotely sensed data for sustainable biodiversity management the case model of Kakamega Forest in western Kenya

机译:遥感数据对可持续生物多样性的管理-肯尼亚西部卡卡梅加森林案例模型

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Within the third and last phase of the BIOTA East Africa project, Kakamega Forest (western Kenya) has become the 'laboratory' for providing the requested recommendations for a sustainable biodiversity management. After almost eight years of research, a broad range of detailed geospatial data and information is available regarding the biodiversity and the different ecosystems of Kakamega Forest as well as the rural livelihoods in the adjacent farmland. Information derived from various remotely-sensed data is fed into simulations of biodiversity change due to forest loss and provides the basis for depictions of possible future scenarios also aimed to be of use on the ground. Here, active involvement in participatory forest management planning stimulates the common use of spatial data and map information by the various actors and stakeholders.
机译:在BIOTA东非项目的第三个也是最后一个阶段中,Kakamega Forest(肯尼亚西部)已成为“实验室”,为可持续的生物多样性管理提供所需的建议。经过将近八年的研究,可以获得有关卡卡梅加森林的生物多样性和不同生态系统以及邻近农田的农村生计的广泛详细的地理空间数据和信息。从各种遥感数据中获得的信息被用于模拟由于森林流失而引起的生物多样性变化,并为描述未来可能也会在地面使用的情况提供了基础。在这里,积极参与参与性森林管理规划会激发各种参与者和利益相关者对空间数据和地图信息的普遍使用。

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