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Cross-border forest disturbance and the role of natural rubber in mainland Southeast Asia using annual Landsat time series

机译:使用年度Landsat时间序列进行的跨境森林扰动和天然橡胶在东南亚大陆的作用

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The recent rise in global demand for natural rubber (Hevea brasiliensis) has led to expansive areas of natural forest being transformed into monoculture plantations. This paper explores the utility of annual Landsat time series for monitoring forest disturbance and the role of natural rubber in mainland Southeast Asia from 2000 to 2012. A region on the Cambodian-Vietnamese border was chosen for this study considering four primary questions: 1) how accurately can annual Landsat time series map the location and timing of forest disturbances in evergreen and seasonal tropical forests, 2) are there cross-border differences in frontier and non-frontier forest disturbance rates between Cambodia and Vietnam, 3) what proportion of disturbances in frontier and non-frontier forests can be accounted for by the impact of rubber plantations, and 4) is there a relationship between global market prices for natural rubber and the annual rate of frontier forest clearing for rubber plantations on both sides of the border. We used LandTrendr (Landsat-based detection of trends in disturbance and recovery) for temporal segmentation of the Landsat time series and disturbance mapping. Our results show that this approach can provide accurate forest disturbance maps but that accuracy is affected by forest type. Highest accuracies were found in evergreen forest (91%), with lower accuracies in mixed (82%) and dry-deciduous forest types (86%). Our final map considering all forest types yielded an overall accuracy of 86%. Forest disturbance rates were generally higher on the Cambodian side of the border. Frontier forest disturbance rates averaged 3.8%/year in Cambodia compared to 2.5%/year in Vietnam. Conversion to rubber was the dominant form of frontier forest change in both countries (42% in Cambodia and 84% in Vietnam). Non-frontier forest disturbances averaged 4.0% and 2.5% in Cambodia and Vietnam, respectively, with most disturbances likewise linked with rubber plantations. Although rates of frontier forest disturbance differed in both countries, they each displayed similar correlations between disturbance rates related to rubber plantation expansion and price fluctuations of natural rubber. This suggests links between localized land cover/use change and international market forces, irrespective of differing political and socioeconomic backgrounds. Our study underlines the value of using dense Landsat time series when exploring the dynamics of human-induced land cover change. (C) 2015 Elsevier Inc. All rights reserved.
机译:全球对天然橡胶(Hevea brasiliensis)的需求最近增加,导致广阔的天然林地区转变为单一种植人工林。本文探讨了从2000年至2012年,年度Landsat时间序列在监测森林扰动和东南亚天然橡胶在东南亚大陆中的作用方面的实用性。本研究选择了柬埔寨-越南边境地区,其考虑了四个主要问题:1)如何年度Landsat时间序列可以准确地绘制常绿和季节性热带森林中森林干扰的位置和时间,2)柬埔寨和越南之间边境和非边境森林干扰率是否存在跨界差异,3)橡胶人工林的影响可以解释边境和非边境森林,并且4)天然橡胶的全球市场价格与边境两侧橡胶人工林的年度森林砍伐率之间是否存在关系。我们将LandTrendr(基于Landsat的扰动和恢复趋势检测)用于Landsat时间序列的时间分段和扰动映射。我们的结果表明,这种方法可以提供准确的森林干扰图,但是准确性受森林类型的影响。在常绿森林中发现的准确度最高(91%),在混合落叶林和干落叶林类型中的准确度较低(82%)。我们考虑所有森林类型的最终地图得出的总体准确性为86%。边界柬埔寨一侧的森林干扰率通常较高。柬埔寨的边境森林干扰率平均每年为3.8%,而越南为2.5%/年。转换为橡胶是两国边境森林变化的主要形式(柬埔寨为42%,越南为84%)。柬埔寨和越南的非边境森林干扰平均分别为4.0%和2.5%,大多数干扰也与橡胶园有关。尽管两国的边境森林干扰率不同,但它们都显示出与橡胶园扩张有关的干扰率与天然橡胶价格波动之间的相似相关性。这表明,无论政治和社会经济背景如何,本地化土地覆盖/用途变化与国际市场力量之间都存在联系。我们的研究强调了在探索人为引起的土地覆盖变化的动态时使用密集的Landsat时间序列的价值。 (C)2015 Elsevier Inc.保留所有权利。

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