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Annual Carbon Emissions from Deforestation in the Amazon Basin between 2000 and 2010

机译:2000年至2010年亚马逊河流域森林砍伐造成的年度碳排放

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Reducing emissions from deforestation and forest degradation (REDD+) is considered one of the most cost-effective strategies for mitigating climate change. However, historical deforestation and emission rates―critical inputs for setting reference emission levels for REDD+―are poorly understood. Here we use multi-source, time-series satellite data to quantify carbon emissions from deforestation in the Amazon basin on a year-to-year basis between 2000 and 2010. We first derive annual deforestation indicators by using the Moderate Resolution Imaging Spectroradiometer Vegetation Continuous Fields (MODIS VCF) product. MODIS indicators are calibrated by using a large sample of Landsat data to generate accurate deforestation rates, which are subsequently combined with a spatially explicit biomass dataset to calculate committed annual carbon emissions. Across the study area, the average deforestation and associated carbon emissions were estimated to be 1.59 ± 0.25 M ha•yr−1 and 0.18 ± 0.07 Pg C•yr−1 respectively, with substantially different trends and inter-annual variability in different regions. Deforestation in the Brazilian Amazon increased between 2001 and 2004 and declined substantially afterwards, whereas deforestation in the Bolivian Amazon, the Colombian Amazon, and the Peruvian Amazon increased over the study period. The average carbon density of lost forests after 2005 was 130 Mg C•ha−1, ~11% lower than the average carbon density of remaining forests in year 2010 (144 Mg C•ha−1). Moreover, the average carbon density of cleared forests increased at a rate of 7 Mg C•ha−1•yr−1 from 2005 to 2010, suggesting that deforestation has been progressively encroaching into high-biomass lands in the Amazon basin. Spatially explicit, annual deforestation and emission estimates like the ones derived in this study are useful for setting baselines for REDD+ and other emission mitigation programs, and for evaluating the performance of such efforts.
机译:减少毁林和森林退化(REDD +)的排放被认为是缓解气候变化的最具成本效益的策略之一。但是,人们对历史森林砍伐和排放率(用于设置REDD +的参考排放水平的关键输入)的了解很少。在这里,我们使用多源时间序列卫星数据,以2000年至2010年之间逐年量化亚马逊流域森林砍伐产生的碳排放。我们首先使用中等分辨率成像光谱仪对植被进行连续估算,得出年度森林砍伐指标。字段(MODIS VCF)产品。通过使用大量Landsat数据样本来校准MODIS指标,以生成准确的毁林率,然后将其与空间明确的生物量数据集结合以计算承诺的年度碳排放量。整个研究区域的平均森林砍伐量和相关碳排放量分别为1.59±0.25 M ha•yr -1 和0.18±0.07 Pg C•yr -1 ,而不同地区的趋势和年际变化却大不相同。在研究期间,巴西亚马逊地区的森林砍伐现象在2001年至2004年之间有所增加,此后大幅下降,而玻利维亚亚马逊地区,哥伦比亚亚马逊河和秘鲁亚马逊地区的森林砍伐现象则有所增加。 2005年之后,消失的森林的平均碳密度为130 Mg C•ha -1 ,比2010年剩余森林的平均碳密度(144 Mg C•ha −1)低约11% 1 )。此外,从2005年到2010年,砍伐森林的平均碳密度以7 Mg C•ha -1 •yr −1 的速率增加,这表明森林砍伐已逐步进行入侵亚马逊盆地的高生物量土地。像本研究中得出的那样,在空间上明确的年度毁林和排放估算值对于设定REDD +和其他减排计划的基准以及评估此类工作的绩效很有用。

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