Spatio-temporal changes in atmospheric aridity over the arid region of Central Asia during 1979–2019

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Moyan Li , Junqiang Yao , Jianghua Zheng
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引用次数: 0

Abstract

The arid region of Central Asia (CA) is the largest non-zonal arid region in the world. It has experienced significant changes in climate and hydrological cycle systems owing to global warming, which has posed serious impacts on the water resources and ecological environment in this region. Although the atmospheric water vapor pressure deficit (VPD) can directly reflect the atmospheric moisture condition, studies on the change of atmospheric moisture deficit in CA are scarce. Thus, we investigated the changes in VPD in the arid region of CA from the perspective of atmospheric aridity based on the CRU TS4.04 and ERA5 data. Our results showed that the VPD in more than 95 % of grids in the arid region had a significantly increasing trend during 1979–2019. Seasonally, VPD trends were increasing in spring, summer, and autumn but decreasing in winter. The changes in saturated water vapor pressure and actual water vapor pressure determined the VPD changes. The saturated water vapor pressure showed a clearly upward trend, whereas the actual water vapor pressure did not increase at the same rate, resulting in the increase of VPD. The first four leading modes revealed by empirical orthogonal function (EOF) analysis represented the patterns by explaining 81.4 % of the total variance. The positive phase of EOF1 was characterized by a monopole pattern, and this mode continued to increase. Contrastingly, EOF2 (and EOF3) showed dipole patterns over east–west CA (and north–south CA), with a mainly interannual variability. Due to the combined effect of increasing temperatures and decreasing relative humidity, the VPD has been intensifying since the mid-to-late 1990 s in CA, and the atmosphere has become significantly drier. These research results can deepen the scientific understanding of global warming impacts on atmospheric moisture and provides a reference for revealing the VPD changes and their impacts on the climate system and ecosystem in arid regions. Our results highlight that the impacts of VPD change should be adequately considered in environmental management and policy-making processes in Central Asia.
1979-2019 年中亚干旱地区大气干旱度的时空变化
中亚干旱地区(CA)是世界上最大的非带状干旱地区。由于全球变暖,该地区的气候和水文循环系统发生了重大变化,对该地区的水资源和生态环境造成了严重影响。虽然大气水汽压差(VPD)可以直接反映大气水汽状况,但有关 CA 大气水汽压差变化的研究却很少。因此,我们基于 CRU TS4.04 和 ERA5 数据,从大气干旱的角度研究了 CA 干旱地区 VPD 的变化。结果表明,1979-2019 年期间,干旱地区 95% 以上网格的 VPD 呈显著上升趋势。从季节上看,VPD 在春季、夏季和秋季呈上升趋势,而在冬季则呈下降趋势。饱和水汽压和实际水汽压的变化决定了 VPD 的变化。饱和水汽压呈明显的上升趋势,而实际水汽压并没有以相同的速度上升,从而导致了 VPD 的增加。经验正交函数(EOF)分析揭示的前四个主导模式代表了这些模式,解释了总方差的 81.4%。EOF1 的正相以单极模式为特征,且该模式持续增加。相反,EOF2(和 EOF3)在东西向 CA(和南北向 CA)上呈现偶极模式,主要是年际变化。由于气温升高和相对湿度下降的共同作用,自 20 世纪 90 年代中后期以来,加利福尼亚州的 VPD 不断加强,大气明显变得更加干燥。这些研究成果可以加深人们对全球变暖对大气湿度影响的科学认识,并为揭示 VPD 变化及其对干旱地区气候系统和生态系统的影响提供参考。我们的研究结果强调,中亚地区在环境管理和政策制定过程中应充分考虑VPD变化的影响。
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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