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黄河流域太阳诱导叶绿素荧光(SIF)的动态变化及其对气象干旱的响应

Dynamics of solar-induced chlorophyll fluorescence (SIF) and its response to meteorological drought in the Yellow River Basin.

作者信息

Wu Hao, Zhou Pingping, Song Xiaoyan, Sun Wenyi, Li Yi, Song Songbai, Zhang Yongqiang

机构信息

Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A & F University, Yangling, 712100, Shaanxi, China.

Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A & F University, Yangling, 712100, Shaanxi, China.

出版信息

J Environ Manage. 2024 Jun;360:121023. doi: 10.1016/j.jenvman.2024.121023. Epub 2024 May 10.

Abstract

Solar-induced chlorophyll fluorescence (SIF) has been used since its discovery to characterize vegetation photosynthesis and is an effective tool for monitoring vegetation dynamics. Its response to meteorological drought enhances our comprehension of the ecological consequences and adaptive mechanisms of plants facing water scarcity, informing more efficient resource management and efforts in mitigating climate change. This study investigates the spatial and temporal patterns of SIF and examines how vegetation SIF in the Yellow River Basin (YRB) responds to meteorological drought. The findings reveal a gradual southeast-to-northwest decline in SIF across the Yellow River Basin, with an overall increase-from 0.1083 W mμmsr in 2001 to 0.1468 W mμmsr in 2019. Approximately 96% of the YRB manifests an upward SIF trend, with 75% of these areas reaching statistical significance. The Standardized Precipitation Evapotranspiration Index (SPEI) at a time scale of 4 months (The SPEI-4), based on the Liang-Kleeman information flow method, is identified as the most suitable drought index, adeptly characterizing the causal relationship influencing SIF variations. As drought intensified, the SPEI-4 index markedly deviated from the baseline, resulting in a decrease in SIF values to their lowest value; subsequently, as drought lessened, it gravitated towards the baseline, and SIF values began to gradually increase, eventually recovering to near their annual maximum. The key finding is that the variability of SIF with SPEI is relatively pronounced in the early growing season, with forests demonstrating superior resilience compared to grasslands and croplands. The responsiveness of vegetation SIF to SPEI can facilitate the establishment of effective drought early warning systems and promote the rational planning of water resources, thereby mitigating the impacts of climate change.

摘要

自发现以来,太阳诱导叶绿素荧光(SIF)一直被用于表征植被光合作用,是监测植被动态的有效工具。它对气象干旱的响应增强了我们对植物面临水资源短缺时的生态后果和适应机制的理解,为更有效的资源管理和缓解气候变化的努力提供了信息。本研究调查了SIF的时空格局,并研究了黄河流域(YRB)植被SIF如何响应气象干旱。研究结果显示,整个黄河流域的SIF从东南向西北逐渐下降,总体呈上升趋势——从2001年的0.1083 W mμmsr增加到2019年的0.1468 W mμmsr。黄河流域约96%的地区呈现SIF上升趋势,其中75%的地区达到统计学显著水平。基于梁-克利曼信息流方法的4个月时间尺度的标准化降水蒸散指数(SPEI-4)被确定为最合适的干旱指数,能够很好地表征影响SIF变化的因果关系。随着干旱加剧,SPEI-4指数明显偏离基线,导致SIF值降至最低;随后,随着干旱减轻,它趋向于基线,SIF值开始逐渐增加,最终恢复到接近年度最大值。关键发现是,在生长季早期,SIF随SPEI的变化相对明显,森林表现出比草原和农田更强的恢复力。植被SIF对SPEI的响应有助于建立有效的干旱预警系统,促进水资源的合理规划,从而减轻气候变化的影响。

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