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Conservation-induced resettlement as a driver of land cover change in India: An object-based trend analysis

机译:保护引起的移民是印度土地覆被变化的驱动力:基于对象的趋势分析

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Located in the foothills of the Indian Himalaya, Rajaji National Park was established to protect and enhance the habitat of the Asian elephant (Elephas maximus) and tiger (Panthera tigris). In 2002 the Van Gujjars, indigenous forest pastoralists, were voluntarily resettled from the Chilla Range (an administrative unit of Rajaji National Park) to Gaindikhata, a nearby area where they were granted land for agriculture. In this study we used a variety of remote sensing approaches to identify changes in land cover associated with the resettlement. The methods comprise two main approaches. First, we used object-based image analysis (OBIA) to identify the pre-resettlement land cover classes of use areas (representing agricultural expansion and adjacent areas of grazing, and collection of fuelwood and fodder) and recovery areas (representing areas where settlements were removed, and the adjacent areas of resource use). Secondly, we used trend analysis to assess the gradual and abrupt changes in vegetation that took place in use and recovery areas. To conduct the trend analysis we used BFAST (Breaks For Additive Season and Trend), which separates seasonal variation from long-term trends, and identifies breaks that can be linked back to disturbances or land cover changes. We found that the OBIA classification yielded high average class accuracies, and we were able to make class distinctions that would have been difficult to make using a traditional pixel-based approach. Pre-resettlement, the recovery areas were classified as mixed forest and riparian vegetation. In contrast, the use areas were classified primarily as grass dominated, brush dominated, and plantation forest, and were located relatively far away from riparian areas. Following the resettlement, the trend analysis showed a sudden change in the seasonal variation of NDVI in areas converted to agriculture. Areas neighboring the new agricultural land experienced sudden decreases in NDVI, suggestive of disturbances, at a higher rate than the same land cover types elsewhere. At the same time, these neighboring areas experienced a gradual overall increase in NDVI which could be caused by an expansion of leafy invasive shrubs such as Lantana camara in areas heavily used for biomass collection. The recovery areas also experienced a gradual increase in NDVI as well as sudden breaks to this trend, but we lacked evidence to connect these changes to the resettlement. Our findings support the claim that the resettlement has shifted pressure from more ecologically valuable to less ecologically valuable land cover types, and suggest that to some degree resource use pressure has increased outside the park. The study employs a novel synthesis of OBIA and trend analysis that could be applied to land change studies more broadly. (C) 2016 Elsevier Ltd. All rights reserved.
机译:拉贾吉国家公园(Rajaji National Park)位于印度喜马拉雅山山麓,旨在保护和改善亚洲象(Elephas maximus)和老虎(Panthera tigris)的栖息地。 2002年,土著森林牧民Van Gujjars自愿从Chilla Range(拉贾吉国家公园的管理部门)重新安置到附近的Gaindikhata,在那里他们被授予了农业用地。在这项研究中,我们使用了多种遥感方法来确定与移民安置相关的土地覆被变化。该方法包括两种主要方法。首先,我们使用基于对象的图像分析(OBIA)来确定使用前区域(代表农业扩张和放牧的邻近区域以及薪柴和草料的收集)和恢复区域(代表定居点所在的区域)的重置前土地覆盖类别。删除,以及资源使用的相邻区域)。其次,我们使用趋势分析来评估在使用和恢复地区发生的植被的逐渐和突然变化。为了进行趋势分析,我们使用了BFAST(附加季节和趋势断裂),它将季节性变化与长期趋势分开,并确定可以与干扰或土地覆被变化联系在一起的断裂。我们发现OBIA分类产生了较高的平均分类精度,并且我们能够进行分类区分,而这是使用传统的基于像素的方法很难做到的。安置前,恢复区被划分为混合森林和河岸植被。相比之下,使用区域主要分为以草为主,以灌木为主和人工林,并且距河岸地区相对较远。安置后,趋势分析显示,在转变为农业的地区,NDVI的季节变化突然变化。新农地附近地区的NDVI突然降低,这表明存在干扰,其发生率高于其他地区的相同土地覆被类型。同时,这些邻近地区的NDVI总体上逐渐增加,这可能是由于在大量用于生物质收集的地区,多叶入侵灌木(例如马Lan丹)的扩张所致。灾后恢复地区的NDVI也逐渐增加,并且突然中断了这种趋势,但是我们缺乏将这些变化与安置联系起来的证据。我们的发现支持这样一种说法,即移民已将压力从更具生态价值的土地转移到了生态价值较低的土地覆被类型,并表明在一定程度上公园外的资源使用压力已经增加。该研究采用了OBIA和趋势分析的新颖综合方法,可以更广泛地应用于土地变化研究。 (C)2016 Elsevier Ltd.保留所有权利。

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