Quantifying the Evolution of Extreme Drought Under Climate Change and Its Impacts on Vegetation Productivity Over the Hai River Basin of China

IF 3.5 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Tingting Yao, Suxia Liu, Shi Hu, Xingguo Mo
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Abstract

There has been increasing attention paid to the effects of drought, especially extreme drought, on vegetation productivity under climate change. However, there are still challenges in quantifying the variations and the adverse effect of extreme drought on vegetation productivity at a regional scale within the context of historical climate change. This study quantified changes in the characteristics of extreme droughts and their effects on vegetation productivity in the Hai River Basin (HRB) of China, using factual climate (with climate trends) and counterfactual climate (detrended) data from the ISIMIP3a project. Standardised Precipitation Evapotranspiration Index (SPEI) and Run theory were utilised to determine characteristic factors (drought frequency, duration, severity, intensity and peak) under climate change. By comparing factual and counterfactual forcing simulations, the detected changes in characteristic factors were attributed to climatic trends. The negative effects of extreme droughts on gross primary productivity (GPP) were quantified. Results showed that there were more serious extreme drought events that occurred in HRB from 1901 to 2019 under factual climate than those under counterfactual climate. The difference was exacerbated in the late stages (1980–2019) over most of the basin. A deceleration was found in the rising pattern of GPP over the last four decades, exacerbating the adverse effects of extreme droughts on GPP under climate change. Compared to those during 1982–2000, GPP experienced further losses related to extreme droughts during 2000–2018 at a rate of 2°gC°m−2°day−1. Furthermore, extreme drought-related GPP losses were most pronounced in summer, indicating that vegetation was more sensitive to extreme droughts during this season. These findings enhance our understanding of historically observed trends of extreme drought and suggest that more strategies should be implemented to protect vegetation from the increasing trends of extreme drought.

Abstract Image

气候变化下海河流域极端干旱演变量化及其对植被生产力的影响
干旱,尤其是极端干旱对气候变化下植被生产力的影响日益受到关注。然而,在历史气候变化的背景下,如何量化区域范围内极端干旱的变化及其对植被生产力的不利影响仍是一个挑战。本研究利用 ISIMIP3a 项目中的实际气候(包含气候趋势)和反事实气候(去趋势)数据,量化了中国海河流域极端干旱特征的变化及其对植被生产力的影响。利用标准化降水蒸散指数(SPEI)和运行理论确定气候变化下的特征因子(干旱频率、持续时间、严重程度、强度和峰值)。通过比较事实模拟和反事实模拟,发现特征因子的变化归因于气候趋势。极端干旱对总初级生产力(GPP)的负面影响被量化。结果表明,与反事实气候相比,1901 年至 2019 年期间在 HRB 发生的严重极端干旱事件更多。这种差异在盆地大部分地区的后期(1980-2019 年)加剧。在过去四十年中,全球升温潜能值的上升模式出现减速,加剧了气候变化下极端干旱对全球升温潜能值的不利影响。与 1982-2000 年期间相比,2000-2018 年期间与极端干旱相关的 GPP 进一步下降,降幅为 2°gC°m-2°day-1。此外,与极端干旱相关的 GPP 损失在夏季最为明显,表明植被在这一季节对极端干旱更为敏感。这些发现加深了我们对历史上观测到的极端干旱趋势的理解,并建议实施更多策略来保护植被免受日益严重的极端干旱的影响。
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来源期刊
International Journal of Climatology
International Journal of Climatology 地学-气象与大气科学
CiteScore
7.50
自引率
7.70%
发文量
417
审稿时长
4 months
期刊介绍: The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions
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