...
首页> 外文期刊>Journal of Hydrology >Quantifying the impact of vegetation changes on global terrestrial runoff using the Budyko framework
【24h】

Quantifying the impact of vegetation changes on global terrestrial runoff using the Budyko framework

机译:使用Budyko框架量化植被变化对全球陆地径流的影响

获取原文
获取原文并翻译 | 示例

摘要

The global hydrological cycle is undergoing unprecedented changes with the intensifications of climate change and human activities. In particular, the impact of vegetation changes on the catchment hydrological processes has recently attracted widespread scientific attention. Although such impact in different regions of the globe has been extensively investigated, a comprehensive understanding of the impact across the entire globe remains elusive. In this study, we quantify the impact of vegetation change on surface runoff (Q) based on the Budyko framework over the global terrestrial environments (excluding Antarctica and northern high latitudes) during 1982-2014. Using long-term hydrometeorological observations and satellite-derived leaf area index (L) from 663 strictly selected catchments globally, we quantify the sensitivity of the Budyko parameter n to changes in L (Sn_L) at individual catchments. We find that Sn_L is closely correlated with catchment aridity index (φ) and soil water holding capacity (θ_p), with higher (lower) Sn_L found in more arid (humid) catchments and catchments having smaller (larger) θ_p values. Based on this, an empirical model relating Sn_L to φ and θ_p is developed, which is further combined with the Budyko model to quantify the L and climate elasticities of Q and to attribute global Q changes over 1982-2014. Results show that the L elasticity of Q is higher and can be even greater than the climate elasticities of Q in relatively dry regions. Averaged over the globe, an increase in Q (+15.5) induced by precipitation increases are largely offset by a decreased Q (-14.9) caused by L increases over the last three decades. The vegetation greening-induced Q declines are manifested in global drylands. Over the study period,increases in L have led to Q reductions of 48.0, 33.2 and 20.2 in global arid, semi-arid and sub-humid regions, respectively, which are larger than climate change-induced Q changes in these three regions. Our find
机译:随着气候变化和人类活动的加剧,全球水文循环正在发生前所未有的变化。特别是植被变化对流域水文过程的影响,近年来引起了科学界的广泛关注。尽管对全球不同地区的这种影响进行了广泛的调查,但对整个全球的影响的全面了解仍然难以捉摸。本研究基于Budyko框架,量化了1982—2014年植被变化对全球陆地环境(不包括南极洲和北部高纬度地区)地表径流(Q)的影响。利用来自全球663个严格选择的流域的长期水文气象观测和卫星衍生叶面积指数(L),我们量化了Budyko参数n对各个流域L(Sn_L)变化的敏感性。我们发现Sn_L与流域干旱指数(φ)和土壤持水能力(θ_p)密切相关,在干旱(潮湿)流域和θ_p值较小(较大)的流域中发现较高(较低)Sn_L。基于此,建立了Sn_L与φ和θ_p相关的经验模型,并进一步与Budyko模型相结合,量化了Q的L和气候弹性,并归因了1982-2014年全球Q的变化。结果表明:在相对干旱地区,Q的L弹性更高,甚至大于Q的气候弹性;在全球范围内,平均而言,降水量增加引起的Q值增加(+15.5%)在很大程度上被过去三十年L值增加引起的Q值降低(-14.9%)所抵消。植被绿化导致的Q下降在全球旱地表现出来。在研究期间,L的增加导致全球干旱、半干旱和半湿润地区的Q值分别降低了48.0%、33.2%和20.2%,大于气候变化引起的Q值变化。我们的发现

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号