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Modelling Deforestation and Land Cover Transitions of Tropical Peatlands in Sumatra, Indonesia Using Remote Sensed Land Cover Data Sets

机译:使用遥感土地覆盖数据集模拟印度尼西亚苏门答腊热带泥炭地的森林砍伐和土地覆盖过渡

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In Southeast Asia land use change associated with forest loss and degradation is a major source of greenhouse gas (GHG) emissions. This is of particular concern where deforestation occurs on peat soils. A business-as-usual (BAU) land change model was developed using Dinamica EGO? for a REDD+ Demonstration Activity area in south-east Jambi Province, Sumatra, Indonesia containing Berbak National Park (NP). The model output will be used as baseline land change predictions for comparison with alternative land cover management scenarios as part of a REDD+ feasibility study. The study area is approximately 376,000 ha with approximately 50% on peat soils. The model uses published 2000 and 2010 land cover maps as input and projects land cover change for thirty years until 2040. The model predicted that under a BAU scenario the forest area, 185,000 ha in 2010, will decline by 37% by 2040. In protected forest areas, approximately 50% of the study area, forest cover will reduce by 25%. Peat swamp forest will reduce by almost 37%. The greatest land cover category increases are plantation/regrowth areas (which includes oil palm) and open areas which each increase by 30,000 ha. These results indicate that the site has great potential as an Indonesian REDD+ Demonstration Activity.
机译:在东南亚,与森林消失和退化相关的土地利用变化是温室气体(GHG)排放的主要来源。这在泥炭土壤上发生森林砍伐的情况下尤其令人关注。使用Dinamica EGO开发了一个照常营业(BAU)土地变化模型?印度尼西亚苏门答腊占碑省东南部的REDD +示范活动区,内含Berbak国家公园(NP)。该模型的输出将被用作基线土地变化预测,以便与其他土地覆盖管理方案进行比较,作为REDD +可行性研究的一部分。研究面积约为376,000公顷,其中约50%位于泥炭土上。该模型使用已发布的2000年和2010年土地覆盖图作为输入,并预测了直到2040年的三十年土​​地覆盖变化。该模型预测,在BAU情景下,2010年的森林面积为185,000公顷,到2040年将下降37%。森林面积约占研究面积的50%,森林覆盖率将减少25%。泥炭沼泽森林将减少近37%。土地覆盖类别增加最多的是人工林/再生区(包括油棕)和空地,分别增加30,000公顷。这些结果表明该地点具有印尼REDD +示范活动的巨大潜力。

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