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首页> 外文期刊>Biogeosciences Discussions >Role of vegetation change in future climate under the A1B scenario and a climate stabilisation scenario, using the HadCM3C Earth system model
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Role of vegetation change in future climate under the A1B scenario and a climate stabilisation scenario, using the HadCM3C Earth system model

机译:使用HADCM3C地球系统模型,在A1B场景和气候稳定情景下将来气候变化的作用。

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The aim of our study was to use the coupled climate-carbon cycle model HadCM3C to quantify climate impact of ecosystem changes over recent decades and under future scenarios, due to changes in both atmospheric CO2 and surface albedo. We use two future scenarios – the IPCC SRES A1B scenario, and a climate stabilisation scenario (2C20), allowing us to assess the impact of climate mitigation on results. We performed a pair of simulations under each scenario – one in which vegetation was fixed at the initial state and one in which vegetation changes dynamically in response to climate change, as determined by the interactive vegetation model within HadCM3C. In our simulations with interactive vegetation, relatively small changes in global vegetation coverage were found, mainly dominated by increases in shrub and needleleaf trees at high latitudes and losses of broadleaf trees and grasses across the Amazon. Globally this led to a loss of terrestrial carbon, mainly from the soil. Global changes in carbon storage were related to the regional losses from the Amazon and gains at high latitude. Regional differences in carbon storage between the two scenarios were largely driven by the balance between warming-enhanced decomposition and altered vegetation growth. Globally, interactive vegetation reduced albedo acting to enhance albedo changes due to climate change. This was mainly related to the darker land surface over high latitudes (due to vegetation expansion, particularly during December–January and March–May); small increases in albedo occurred over the Amazon. As a result, there was a relatively small impact of vegetation change on most global annual mean climate variables, which was generally greater under A1B than 2C20, with markedly stronger local-to-regional and seasonal impacts. Globally, vegetation change amplified future annual temperature increases by 0.24 and 0.15 K (under A1B and 2C20, respectively) and increased global precipitation, with reductions in precipitation over the Amazon and increases over high latitudes. In general, changes were stronger over land – for example, global temperature changes due to interactive vegetation of 0.43 and 0.28 K under A1B and 2C20, respectively. Regionally, the warming influence of future vegetation change in our simulations was driven by the balance between driving factors. For instance, reduced tree cover over the Amazon reduced evaporation (particularly during June–August), outweighing the cooling influence of any small albedo changes. In contrast, at high latitudes the warming impact of reduced albedo (particularly during December–February and March–May) due to increased vegetation cover appears to have offset any cooling due to small evaporation increases. Climate mitigation generally reduced the impact of vegetation change on future global and regional climate in our simulations. Our study therefore suggests that there is a need to consider both biogeochemical and biophysical effects in climate adaptation and mitigation decision making.
机译:我们的研究目的是使用哈科姆3C耦合的气候 - 碳循环模型来量化近几十年来对生态系统的气候影响发生变化,而在未来的情况下,由于大气二氧化碳二氧化碳和表面反照培训。我们使用两个未来的情景 - IPCC SRES A1B场景以及气候稳定方案(2C20),允许我们评估气候减灾对结果的影响。我们在每种情况下进行了一对模拟 - 其中植被在初始状态下固定其中,其中植被在响应气候变化时动态变化,如哈达布3C中的交互植被模型所确定的。在我们与互动植被的模拟中,发现了全球植被覆盖的相对较小的变化,主要是灌木和亚马逊阔叶树和草地上的高纬度和损失的灌木和损失的含量增加。全球这导致了主要来自土壤的陆地碳。碳储存的全球变化与亚马逊的区域损失有关,并在高纬度下获得。两种情景之间的碳储存的区域差异主要受到热化增强分解和植被生长改变之间的平衡。在全球范围内,互动植被减少了Albedo作用,以提高因气候变化而改变的Albedo变化。这主要与高纬度的较暗的土地面(由于植被扩张,特别是在12月至1月和3月至5月); Albedo的小幅增加发生在亚马逊上。因此,植被变化对大多数全球年平均气候变量的影响相对较小,在2C20的1B中通常更大,具有明显强烈的地方对区域和季节性影响。在全球范围内,植被变化放大了未来的年度温度0.24和0.15k(分别为0.15k(分别为0.15 k)和增加的全球降水量,降低亚马逊的降水量,高纬度增加。通常,在陆地上变化更强 - 例如,由于0.43和0.28k的交互植被,分别在A1B和2C20下的相互作用植被变化。从地区上,我们模拟中未来植被变化的变暖影响因驾驶因子之间的平衡而导致。例如,亚马逊的树木覆盖率降低了蒸发(特别是6月至8月),超过了任何小型反玻璃变化的冷却影响。相比之下,在高纬度地区,由于植被覆盖的增加,由于增加的植被覆盖而导致的Albedo(特别是12月至2月和3月)的变暖影响似乎抵消了由于较小的蒸发而导致的任何冷却。气候减缓通常减少了植被变化对我们模拟中未来全球和区域气候的影响。因此,我们的研究表明,需要考虑气候适应和减缓决策中的生物地质化学和生物物理学作用。

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