Early warning of drought-induced vegetation stress using multiple satellite-based ecological indicators

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators Pub Date : 2024-11-18 DOI:10.1016/j.ecolind.2024.112857

Ying Wang , Yanan Chen , Jianguang Wen , Chaoyang Wu , Wei Zhou , Lei Han , Xuguang Tang

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引用次数: 0

Abstract

Droughts have posed, and continue to pose, severe risks to terrestrial ecosystems. Particularly against the backdrop of global climate change, the intensity and frequency of extreme droughts are expected to further aggravate. However, a significant gap persists in early drought warning for vegetation monitoring. Therefore, this study examined the spatial and temporal dynamics of two summer drought events happened in Southwest China in 2011 and 2022, and analyzed the early responses of four ecological indicators including global Orbiting Carbon Observatory-2 (OCO-2) SIF dataset (GOSIF), the leaf-scale fluorescence yield (

Φ_{f}

), the near-infrared reflectance of vegetation (NIRv) and the normalized difference vegetation index (NDVI) to drought extremes. All these indicators successfully captured the drought-induced vegetation stress, but as a proxy for vegetation photosynthesis, GOSIF was the most sensitive. Specifically, during the 2022 drought, GOSIF fell below the baseline year as early as day of year (DOY) 193, whereas NIRv and NDVI began at DOY 201, and

Φ_{f}

lagged severely. Similar behaviour was also found in the drought period of 2011. Overall, compared to the baseline year, GOSIF,

Φ_{f}

, NIRv and NDVI decreased by 96.93 %, 54.11 %, 43.92 % and 17.03 % in 2011, and reduced by 70.00 %, 42.01 %, 48.74 % and 19.53 % in 2022, respectively. During the past two decades, GOSIF exhibited the strongest correlation with drought intensity (r = 0.880, p < 0.05), followed by NIRv (r = 0.875, p < 0.05) and NDVI (r = 0.871, p < 0.05), and

Φ_{f}

was the weakest (r = 0.432, p > 0.05). Spatially, the proportion of areas where the correlations exceeded 0.6 by GOSIF and NIRv were 42.39 % and 39.32 %, respectively. In summary, this study demonstrated that global re-constructed GOSIF possesses considerable potential as an early warning indicator for vegetation drought.

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利用多种星基生态指标对干旱引发的植被压力进行预警

干旱已经并将继续对陆地生态系统构成严重威胁。特别是在全球气候变化的背景下，极端干旱的强度和频率预计将进一步加剧。然而，植被监测方面的早期干旱预警仍存在巨大差距。因此，本研究考察了2011年和2022年发生在中国西南地区的两次夏季干旱事件的时空动态，分析了全球轨道碳观测站-2（OCO-2）SIF数据集（GOSIF）、叶尺度荧光产率（Φf）、植被近红外反射率（NIRv）和归一化差异植被指数（NDVI）等四项生态指标对极端干旱的早期响应。所有这些指标都成功捕捉到了干旱引起的植被压力，但作为植被光合作用的替代指标，GOSIF最为敏感。具体而言，在 2022 年干旱期间，GOSIF 早在 193 年就低于基准年，而 NIRv 和 NDVI 则始于 201 年，Φf 则严重滞后。2011 年干旱期间也出现了类似的情况。总体而言，与基准年相比，2011 年 GOSIF、Φf、NIRv 和 NDVI 分别减少了 96.93 %、54.11 %、43.92 % 和 17.03 %，2022 年分别减少了 70.00 %、42.01 %、48.74 % 和 19.53 %。在过去 20 年中，GOSIF 与干旱强度的相关性最强（r = 0.880，p < 0.05），其次是 NIRv（r = 0.875，p < 0.05）和 NDVI（r = 0.871，p < 0.05），Φf 的相关性最弱（r = 0.432，p > 0.05）。在空间上，GOSIF 和 NIRv 相关性超过 0.6 的区域比例分别为 42.39 % 和 39.32 %。总之，本研究表明，全球重新构建的 GOSIF 作为植被干旱预警指标具有相当大的潜力。

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来源期刊

Ecological Indicators 环境科学-环境科学

CiteScore

11.80

自引率

8.70%

发文量

1163

审稿时长

78 days

期刊介绍： The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.