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首页> 外文期刊>Global change biology >Climate‐driven vegetation greening further reduces water availability in drylands
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Climate‐driven vegetation greening further reduces water availability in drylands

机译:气候驱动的植被绿化进一步减少了旱地的可用水量

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Abstract Climate change alters surface water availability (WA; precipitation minus evapotranspiration, P − ET) and consequently impacts agricultural production and societal water needs, leading to increasing concerns on the sustainability of water use. Although the direct effects of climate change on WA have long been recognized and assessed, indirect climate effects occurring through adjustments in terrestrial vegetation are more subtle and not yet fully quantified. To address this knowledge gap, here we investigate the interplay between climate‐induced changes in leaf area index (LAI) and ET and quantify its ultimate effect on WA during the period 1982–2016 at the global scale, using an ensemble of data‐driven products and land surface models. We show that ~44 of the global vegetated land has experienced a significant increase in growing season‐averaged LAI and climate change explains 33.5 of this greening signal. Such climate‐induced greening has enhanced ET of 0.051 ± 0.067 mm year−2 (mean ± SD), further amplifying the ongoing increase in ET directly driven by variations in climatic factors over 36.8 of the globe, and thus exacerbating the decline in WA prominently in drylands. These findings highlight the indirect impact of positive feedbacks in the land–climate system on the decline of WA, and call for an in‐depth evaluation of these phenomena in the design of local mitigation and adaptation plans.
机译:摘要 气候变化改变了地表水的可利用性(WA;降水量减去蒸散量,P − ET),从而影响农业生产和社会用水需求,导致人们对用水可持续性的日益关注。尽管气候变化对西澳的直接影响早已得到认识和评估,但通过调整陆地植被而产生的间接气候影响更为微妙,尚未完全量化。为了解决这一知识差距,我们在这里研究了气候引起的叶面积指数(LAI)变化与ET之间的相互作用,并量化了1982-2016年期间全球范围内对西澳的最终影响,使用一组数据驱动的产品和地表模型。我们发现,~44%的全球植被地经历了生长季节平均LAI的显着增加,气候变化解释了33.5%的绿化信号。这种气候诱导的绿化使ET增加了0.051 ± 0.067 mm year−2(平均±标准差),进一步放大了全球36.8%以上气候因素变化直接驱动的ET的持续增加,从而加剧了旱地WA的下降。这些发现强调了土地气候系统中正反馈对西澳地区衰退的间接影响,并呼吁在设计当地减缓和适应计划时对这些现象进行深入评估。

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