首页> 外文期刊>Ambio: A Journal of the Human Environment >Deciphering forest change: Linking satellite-based forest cover change and community perceptions in a threatened landscape in India
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Deciphering forest change: Linking satellite-based forest cover change and community perceptions in a threatened landscape in India

机译:解密森林变革:将基于卫星的森林覆盖变化和社区感知在印度威胁的景观中

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摘要

Global conservation efforts have traditionally focused on biodiversity hotspots and other priority landscapes. However, large areas outside priority sites have high conservation value and are referred to as neglected landscapes. The Eastern Ghats of India is an unexplored forest landscape of high conservation value with several endemic and threatened species reported, and is also home to many indigenous forest-dwelling communities. However, it remains a neglected area for conservation and only 3.53% of this landscape is protected. Here, we examine the effectiveness of protected areas in neglected landscapes in preventing forest degradation, and how community perceptions can be used to understand satellite-based landscape change analyses at village level. This study was conducted in Papikonda National park (PNP) and its unprotected buffers in India's Eastern Ghats. Forest degradation was higher in the buffer (32%) than inside PNP (12%) between 1991 and 2014. Communities attributed shifting cultivation, plantations and over-extraction of forest resources as being the major drivers of forest degradation. Community observations of change were not significantly correlated with spatial measures of change. Forest degradation was higher outside the PA at a landscape level and inside the PA at the village level, therefore the PA was effective in reducing degradation at the landscape level but not at the village level inside the PA. We further discuss the role of community observations in interpreting forest degradation in neglected forest landscapes.
机译:传统上全球保护努力集中在生物多样性热点和其他优先景观中。然而,优先级地点之外的大面积具有高保护价值,并且被称为被忽视的景观。印度东部赫尔斯是一个未探索的森林景观,高保价值,据报道,许多土着森林居住社区的家园也是所在的。然而,它仍然是保护的忽视区域,只有3.53%的景观受到保护。在这里,我们研究了防止森林退化中被忽视的景观中受保护区域的有效性,以及社区知觉如何用于了解村级卫星的景观变化分析。该研究在Papikonda国家公园(PNP)进行了在印度东止浦的未受保护缓冲区。缓冲液(32%)森林降解高于1991年至2014年间的PNP(12%)。社区归因于森林退化的主要驱动因素的森林资源的栽培,种植园和过度提取。社区改变的观察与变革的空间措施没有明显相关。森林退化在景观水平和村庄水平的PA内部较高,因此PA有效地降低了景观水平的劣化,但不在PA内的村级。我们进一步探讨了社区观察在忽视森林景观中森林退化方面的作用。

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