The impact of compound droughts and heatwaves on ecosystem carbon-water dynamics in Eurasia

IF 5.7 1区 农林科学 Q1 AGRONOMY
Agricultural and Forest Meteorology Pub Date : 2026-02-15 Epub Date: 2025-11-19 DOI:10.1016/j.agrformet.2025.110936
Mingjuan Xie , Geping Luo , Amaury Frankl , Philippe De Maeyer , Olaf Hellwich , Kwinten Van Weverberg
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Abstract

Climate change has been intensifying the occurrence of compound droughts and heatwaves (CDHW), seriously affecting the carbon and water cycles of terrestrial ecosystems. However, the understanding of the impacts of CDHW is still limited in Eurasia, with its complex terrain and diverse landscapes. This study used a high-precision carbon and water flux dataset from meteorological stations to examine the spatiotemporal patterns of CDHW in Eurasia during 1984−2018 and their effects on ecosystem carbon-water dynamics across various land cover types, in particular net ecosystem carbon exchange (NEE) and water fluxes (WF). The findings revealed a marked increase in CDHW frequency since 1984. Standardized anomalies for heatwaves seemed to be more severe than for droughts but the latter exhibited a greater spatial variability. CDHW generally demonstrated a negative impact on NEE and WF, with the magnitude of net carbon uptake decreases growing and the magnitude of WF increases diminishing since 1984. The grassland experienced the largest reduction in net carbon uptake, with a mean standardized anomaly (SA) of 0.53 for NEE, while the forest appeared to be the least affected. The wetland indicated the most pronounced WF response to CDHW, with a mean SA of 0.93, followed by the forest. Geographically, the effects of CDHW on NEE and WF varied along latitudes, with the strongest negative influences occurring in high-latitude regions. After CDHW, the average recovery times for most stations ranged from three to ten days, with the forest and shrubland illustrating the greatest resilience in NEE and WF, respectively. Understanding these dynamics is critical for designing targeted adaptation strategies—such as forest protection and afforestation to enhance ecosystem resistance, and precision irrigation to alleviate water stress—to mitigate the CDHW impact and sustain the ecosystem functions amidst the rising climatic extremes.
复合干旱和热浪对欧亚大陆生态系统碳水动态的影响
气候变化加剧了复合干旱和热浪的发生,严重影响了陆地生态系统的碳循环和水循环。然而,在地形复杂、景观多样的欧亚大陆,对气候变化影响的认识仍然有限。利用气象站点的高精度碳和水通量数据,研究了1984—2018年欧亚大陆CDHW的时空格局及其对不同土地覆盖类型的生态系统碳-水动态的影响,特别是净生态系统碳交换(NEE)和水通量(WF)。研究结果显示,自1984年以来,CDHW的频率显著增加。热浪的标准化异常似乎比干旱更严重,但后者表现出更大的空间变异性。1984年以来,净碳吸收量呈减小趋势,净碳吸收量呈减小趋势,净碳吸收量呈减小趋势。草地净碳吸收减少幅度最大,净净净碳吸收的平均标准化异常(SA)为0.53,而森林受影响最小。湿地对CDHW的响应最显著,平均SA为0.93,其次是森林。从地理上看,CDHW对东北东线和西风量的影响随纬度变化而变化,高纬度地区的负面影响最强。在寒潮过后,大多数站点的平均恢复时间在3 - 10天之间,东北东岸的森林和灌木林分别表现出最大的恢复力。了解这些动态对于设计有针对性的适应策略至关重要,例如森林保护和造林以增强生态系统的抵抗力,以及精确灌溉以缓解水资源压力,从而减轻CDHW的影响,并在极端气候上升的情况下维持生态系统功能。
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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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