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首页> 外文期刊>Biological Conservation >Sustaining protected areas: identifying and controlling deforestation and forest degradation drivers in the Ankasa Conservation Area, Ghana.
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Sustaining protected areas: identifying and controlling deforestation and forest degradation drivers in the Ankasa Conservation Area, Ghana.

机译:维持保护区:确定和控制加纳安卡萨保护区的毁林和森林退化驱动因素。

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摘要

Although protected areas in Africa contain possibly the highest repositories of carbon and thus can play a role in mitigating the effects of climate change through carbon sequestration, they are threatened due to increasing levels of deforestation and forest degradation (DFD). However, little information is available on the on-site causes of DFD in these areas. This paper estimates the levels of DFD and identifies the drivers in the Ankasa Conservation Area (ACA) in Ghana as a case study. A survey was used to identify both direct and underlying factors that promote the DFD. The extent of deforestation was estimated using satellite images. The survey data were analyzed using rankings and ordinal logistic regression techniques, while digital image classification and change detection were used to analyze land cover changes. The results show that DFD occurred at a higher rate in the periphery of the ACA compared to the core-protected and the farthest areas. Agricultural and wood harvesting activities were the main direct causes of DFD. Poverty and large in-migrations of people for cocoa farming were important underlying economic and population growth factors. To address these problems and enable ACA to contribute more to biodiversity conservation and climate change mitigation, the community resource management institutions should be fully adopted and strengthened and priority given to livelihood improvement and ecosystem services provision in the periphery of the ACA.
机译:尽管非洲的保护区可能含有最高的碳库,因此可以通过固碳来减轻气候变化的影响,但由于森林砍伐和森林退化(DFD)水平的提高,它们受到了威胁。但是,在这些地区,关于DFD现场原因的信息很少。本文估算了DFD的水平,并确定了加纳Ankasa保护区(ACA)的驱动因素作为案例研究。一项调查用于确定促进DFD的直接因素和潜在因素。砍伐森林的程度是使用卫星图像估算的。使用排名和序数逻辑回归技术分析调查数据,同时使用数字图像分类和变化检测来分析土地覆被变化。结果表明,与核心保护区和最远区域相比,DFA在ACA外围的发生率更高。农业和木材采伐活动是造成森林退化的主要直接原因。贫穷和大量移民可可种植是重要的潜在经济和人口增长因素。为了解决这些问题并使ACA能够为生物多样性保护和减缓气候变化做出更多贡献,应充分采用和加强社区资源管理机构,并优先考虑在ACA周边改善生计和提供生态系统服务。

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