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基于CMIP6模拟的森林、灌木、农田和草地四种生态系统中蒸散对CO₂的响应及其驱动机制

Evapotranspiration responses to CO and its driving mechanisms in four ecosystems based on CMIP6 simulations: Forest, shrub, farm and grass.

作者信息

Lu Tianwei, Han Yong, Dong Li, Zhang Yurong, Zhu Xian, Xu Danya

机构信息

Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519082, China.

Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519082, China; Key Laboratory of Tropical Atmosphere-Ocean System (Sun Yat-sen University), Ministry of Education, Zhuhai, 519082, China.

出版信息

Environ Res. 2023 Apr 15;223:115417. doi: 10.1016/j.envres.2023.115417. Epub 2023 Feb 3.

Abstract

Evapotranspiration (ET) is an essential process of the water cycle through which water is transferred from terrestrial ecosystems to atmosphere. However, in the climate context of increasing CO concentration (also called as a CO-enriched climate), the variation of ET and its main drivers among different ecosystems remain unclear. This study analyzed the output data of the CMCC ESM2 model with a ridge regression method, and proposed the trends and drivers of ET in different ecosystems in a CO-enriched climate. In particular, the temporal - spatial characteristics of ET and its primary drivers for different periods and wetness levels were revealed. With the rising of CO concentration, the atmospheric evapotranspiration demand increases, and the vegetation grows more luxuriantly. ET shows an overall upward trend, especially in the shrub ecosystems (7.41 mm decade). Our results show that the thermal conditions are the main driving factors for humid forest and shrub ecosystems whereas relative humidity (RH) is the main driving factor for arid farm and grass ecosystems. In terms of the average contribution in all periods, surface solar radiation contributes 26% and 41% to ET variation in forest and shrub ecosystems, and RH contributes 49% and 32% to ET variation in farm and grass ecosystems, respectively. Notably, with the increase of wetness levels, the contribution of water conditions on ET becomes smaller, while that of thermal conditions becomes larger. Correlation analysis shows that LAI impacts on ET are regulated by environmental factors, which reflects the complexity of ET change mechanism. Overall, these findings further provide a reference for rational planning of ecosystems and efficient utilization of water resources.

摘要

蒸散(ET)是水循环的一个重要过程,通过这个过程,水从陆地生态系统转移到大气中。然而,在二氧化碳浓度增加的气候背景下(也称为富二氧化碳气候),不同生态系统中蒸散的变化及其主要驱动因素仍不明确。本研究采用岭回归方法分析了CMCC ESM2模型的输出数据,并提出了富二氧化碳气候下不同生态系统中蒸散的趋势和驱动因素。特别是,揭示了不同时期和湿度水平下蒸散及其主要驱动因素的时空特征。随着二氧化碳浓度的升高,大气蒸散需求增加,植被生长更加茂盛。蒸散呈现总体上升趋势,尤其是在灌木生态系统中(7.41毫米/十年)。我们的结果表明,热量条件是湿润森林和灌木生态系统的主要驱动因素,而相对湿度(RH)是干旱农田和草地生态系统的主要驱动因素。就所有时期的平均贡献而言,地表太阳辐射对森林和灌木生态系统中蒸散变化的贡献分别为26%和41%,相对湿度对农田和草地生态系统中蒸散变化的贡献分别为49%和32%。值得注意的是,随着湿度水平的增加,水分条件对蒸散的贡献变小,而热量条件的贡献变大。相关性分析表明,叶面积指数对蒸散的影响受环境因素调节,这反映了蒸散变化机制的复杂性。总体而言,这些发现进一步为生态系统的合理规划和水资源的高效利用提供了参考。

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