陆地储水量减少下的全球植被动态:对水分胁迫响应的洞察

IF 5.6 1区 农林科学 Q1 AGRONOMY
Yuanhang Yang , Jiabo Yin , Louise J. Slater , Pan Liu , Liqiang Zhang , Yao Zhang
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引用次数: 0

摘要

陆地储水在调节全球水能收支中起着至关重要的作用,显著影响着水资源有效性和碳固存动态。然而,在气候变化下,TWS减少如何影响陆地碳同化仍然知之甚少。本研究通过综合卫星观测、再分析数据集、野外测量和长期TWS重建,探讨了TWS对不同生态系统植被生产力的影响。我们应用有监督的机器学习模型和路径分析来研究在不同水分胁迫水平下,主要的水热因素(如土壤湿度、蒸汽压亏缺、降水和温度)是如何调节植被光合作用的。此外,我们采用了大量的水文气候模型来预测未来TWS情景,并量化了它们对气候变暖下植被生产力的影响。我们的研究结果表明,干旱条件的加剧,以TWS的减少为标志,导致植被生产力日益严重的下降,特别是在水资源有限的地区。综合模式框架预测,气候变暖将显著加剧干旱对植被生产力的影响。在低碳排放情景下,随着干旱严重程度从中度干旱升级到异常干旱,全球平均总初级生产力从-3.20 gm−2day−1下降到-7.10gm−2day−1。这些见解强调了制定强有力的战略以增强生态系统抵御日益恶化的干旱条件的能力的迫切需要,强调了气候适应工作的一个关键方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global vegetation dynamics under decreased terrestrial water storage: Insights into water stress response
Terrestrial water storage (TWS) plays a critical role in regulating global water-energy budget, significantly influencing water availability and carbon sequestration dynamics. However, how decreased TWS affect terrestrial carbon assimilation under climate change remains poorly understood. This study explores the influence of TWS on vegetation productivity across diverse ecosystems by synthesizing satellite observations, reanalysis datasets, field measurements, and long-term TWS reconstructions. We apply a supervised machine learning model and path analysis to examine how dominant water-heat factors—such as soil moisture, vapor pressure deficit, precipitation and temperature—regulate vegetation photosynthesis under varying levels of water stress. Moreover, we employ a large set of hydro-climate models to project future TWS scenarios, and quantify their impacts on vegetation productivity in a warming climate. Our findings indicate that intensifying drought conditions, indicated by decreased TWS, lead to increasingly severe reductions in vegetation productivity, particularly in water-limited regions. The integrated model framework projects that climate warming could significantly worsen drought impacts on vegetation productivity. As drought severity escalates from moderate drought to exceptional drought, the global average gross primary productivity decreases from -3.20 gm2day1to -7.10gm2day1under low carbon emission scenarios. These insights highlight the critical need to develop robust strategies to enhance ecosystem resilience against worsening drought conditions, underscoring a key aspect of climate adaptation efforts.
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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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