Soil moisture and precipitation dominate the response and recovery times of ecosystems from different types of flash drought in the Yangtze River Basin

IF 5.6 1区 农林科学 Q1 AGRONOMY
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Abstract

Flash droughts and their ecological impacts on terrestrial ecosystems have recently garnered increased attention due to their rapid intensification. However, research on the response and recovery of ecosystems to flash droughts, particularly regarding different types of flash droughts and their determinants, remains relatively limited. Here we classified flash droughts into meteorological, evaporative, and soil types based on the differences in primary drivers, and identified them in the middle and lower reaches of Yangtze River Basin (MLRYRB) from 2000 to 2022. We assessed the response and recovery time of ecosystems to different flash droughts based on solar-induced chlorophyll fluorescence (SIF), analyzed the factors affecting response and recovery times using random forest models, and identified the spatial patterns of dominant factors through partial correlation analysis. Our results revealed distinct characteristics among different flash droughts, with soil flash droughts exhibiting the highest frequency and longest duration. The average response time and recovery times ranged from 15.7 to 19.2 days and from 59.6 to 69.2 days, respectively, for different flash droughts, with soil flash droughts presenting the longest response time and shortest recovery time. Among all vegetations, mixed forests exhibited the longest response time to meteorological and soil flash droughts, while woody savannas presented significantly longer recovery time from evaporative and soil flash droughts. Analysis of primary drivers indicated that precipitation predominantly determined the response time to meteorological and evaporative flash droughts, while surface soil moisture played a primary role in soil flash drought. Furthermore, surface soil moisture was found to determine the recovery time from all flash droughts in over 57 % of pixels. Our findings could offer valuable insights into quantifying the ecological impacts and drivers of different flash droughts on ecosystems, deepening our understanding of ecosystem responses to flash droughts.

土壤水分和降水主导长江流域生态系统对不同类型山洪干旱的响应和恢复时间
由于山洪暴发的迅速加剧,山洪暴发及其对陆地生态系统的生态影响近来受到越来越多的关注。然而,有关生态系统对山洪灾害的响应和恢复的研究,特别是有关不同类型的山洪灾害及其决定因素的研究仍然相对有限。在此,我们根据主要驱动因素的差异将山洪灾害分为气象型、蒸发型和土壤型,并识别了 2000 年至 2022 年长江中下游流域(MLRYRB)的山洪灾害。基于太阳诱导叶绿素荧光(SIF)评估了生态系统对不同山洪灾害的响应和恢复时间,利用随机森林模型分析了影响响应和恢复时间的因子,并通过偏相关分析确定了主导因子的空间模式。研究结果表明,不同山洪灾害具有不同的特征,其中土壤山洪灾害发生频率最高,持续时间最长。不同山洪灾害的平均响应时间和恢复时间分别为 15.7 至 19.2 天和 59.6 至 69.2 天,其中土壤山洪灾害的响应时间最长,恢复时间最短。在所有植被中,混交林对气象干旱和土壤闪旱的反应时间最长,而木本稀树草原对蒸发干旱和土壤闪旱的恢复时间明显较长。对主要驱动因素的分析表明,降水主要决定了对气象干旱和蒸发性闪蒸干旱的响应时间,而地表土壤水分在土壤闪蒸干旱中起着主要作用。此外,在超过 57% 的像素中,地表土壤水分决定了所有闪旱的恢复时间。我们的研究结果为量化不同山洪灾害对生态系统的生态影响和驱动因素提供了宝贵的见解,加深了我们对山洪灾害生态系统响应的理解。
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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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