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Impacts of future deforestation and climate change on the hydrology of the Amazon Basin: a multi-model analysis with a new set of land-cover change scenarios

机译:未来的森林砍伐和气候变化对亚马逊河流域水文学的影响:多模式分析与一组新的土地覆被变化情景

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Deforestation in Amazon is expected to decrease evapotranspiration?(ET) and to increase soil moisture and river discharge under prevailing energy-limited conditions. The magnitude and sign of the response of ET to deforestation depend both on the magnitude and regional patterns of land-cover change?(LCC), as well as on climate change and COsub2/sub levels. On the one hand, elevated COsub2/sub decreases leaf-scale transpiration, but this effect could be offset by increased foliar area density. Using three regional LCC scenarios specifically established for the Brazilian and Bolivian Amazon, we investigate the impacts of climate change and deforestation on the surface hydrology of the Amazon Basin for this century, taking?2009 as a reference. For each LCC scenario, three land surface models?(LSMs), LPJmL-DGVM, INLAND-DGVM and ORCHIDEE, are forced by bias-corrected climate simulated by three general circulation models?(GCMs) of the IPCC 4th?Assessment Report?(AR4). On average, over the Amazon Basin with no deforestation, the GCM results indicate a temperature increase of 3.3?°C by?2100 which drives up the evaporative demand, whereby precipitation increases by 8.5 %, with a large uncertainty across GCMs. In the case of no deforestation, we found that ET and runoff increase by?5.0 and 14?%, respectively. However, in south-east Amazonia, precipitation decreases by 10?% at the end of the dry season and the three LSMs produce a 6?% decrease of ET, which is less than precipitation, so that runoff decreases by 22 %. For instance, the minimum river discharge of the Rio Tapajós is reduced by 31?% in?2100. To study the additional effect of deforestation, we prescribed to the LSMs three contrasted LCC scenarios, with a forest decline going from 7?to 34?% over this century. All three scenarios partly offset the climate-induced increase of ET, and runoff increases over the entire Amazon. In the south-east, however, deforestation amplifies the decrease of ET at the end of dry season, leading to a large increase of runoff (up to +27?% in the extreme deforestation case), offsetting the negative effect of climate change, thus balancing the decrease of low flows in the Rio Tapajós. These projections are associated with large uncertainties, which we attribute separately to the differences in LSMs, GCMs and to the uncertain range of deforestation. At the subcatchment scale, the uncertainty range on ET changes is shown to first depend on GCMs, while the uncertainty of runoff projections is predominantly induced by LSM structural differences. By contrast, we found that the uncertainty in both ET and runoff changes attributable to uncertain future deforestation is low.
机译:在普遍的能源有限的条件下,亚马逊地区的森林砍伐有望减少蒸散量(ET)并增加土壤湿度和河流排放量。 ET对森林砍伐的反应的大小和迹象取决于土地覆盖变化的大小和区域模式?以及气候变化和CO 2 水平。一方面,升高的CO 2 减少了叶尺度的蒸腾作用,但是这种作用可以通过增加叶面密度来抵消。我们使用为巴西和玻利维亚亚马逊专门建立的三个区域性低碳国家情景,以2009年为参考,调查了本世纪气候变化和森林砍伐对亚马逊盆地地表水文学的影响。对于每种低碳国家情景,由IPCC第四次“评估报告”的三种通用环流模型(GCM)模拟的偏差校正气候迫使三种土地表面模型(LSM),LPJmL-DGVM,INLAND-DGVM和ORCHIDEE被迫实施。 AR4)。平均而言,在没有森林砍伐的亚马逊河流域,GCM结果表明,到2100年,温度升高了3.3°C,这带动了蒸发需求,因此降水量增加了8.5%,而GCM的不确定性很大。在没有森林砍伐的情况下,我们发现ET和径流分别增加了5.0%和14%。然而,在东南亚马逊地区,在旱季结束时降水量减少了10%,三个LSMs的ET减少了6%,小于降水量,因此径流减少了22%。例如,在2100年,RioTapajós的最小河流量减少了31%。为了研究毁林的额外影响,我们向LSM规定了三种对比LCC方案,在本世纪中,森林砍伐率从7%下降到34%。所有这三种情况都部分抵消了气候引起的ET的增加,并且径流量在整个亚马逊河上增加。但是,在东南部,森林砍伐加剧了旱季结束时ET的减少,导致径流量大幅增加(在极端森林砍伐情况下,径流最多增加+ 27%),从而抵消了气候变化的负面影响,从而平衡了RioTapajós地区低流量的减少。这些预测与较大的不确定性相关,我们分别将其归因于LSM,GCM的差异以及毁林的不确定范围。在子汇水规模上,ET变化的不确定性范围首先显示为取决于GCM,而径流预测的不确定性主要是由LSM结构差异引起的。相比之下,我们发现,ET和径流变化的不确定性都归因于未来森林砍伐的不确定性。

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