Multiple Vegetation Indicators Reveal Contrasting Post-Drought Recovery Time in the Yangtze River Basin Following the 2022 Extreme Drought.
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| Title: | Multiple Vegetation Indicators Reveal Contrasting Post-Drought Recovery Time in the Yangtze River Basin Following the 2022 Extreme Drought. |
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| Authors: | Ma, Qingqing1,2 (AUTHOR), Chen, Lajiao1,2 (AUTHOR) chenlj@aircas.ac.cn, Li, Jiepeng1,2 (AUTHOR), Liu, Peng1,2 (AUTHOR) |
| Source: | Remote Sensing. Aug2026, Vol. 18 Issue 16, p2824. 27p. |
| Subjects: | Leaf area index, Normalized difference vegetation index, Restoration ecology, Plant communities, Remote sensing, Primary productivity (Biology) |
| Geographic Terms: | Yangtze River (China) |
| Abstract: | Highlights: What are the main findings? This study analyzes vegetation recovery after the extreme drought event across the Yangtze River Basin in 2022. Vegetation recovery timing exhibits distinct differences among multiple remote-sensing indicators. Recovery timing varies substantially across different vegetation types. LAI shows the shortest recovery time, whereas GPP presents the longest recovery period. Forest and grassland achieve faster recovery, while cropland and shrubland exhibit relatively slow recovery. What are the implications of the main findings? Multi-indicator comparisons are essential for comprehensively assessing post-drought vegetation resilience. Vegetation-type-dependent recovery differences provide references for ecological restoration under drought disturbance. Extreme drought events have become increasingly frequent under ongoing climatic change, thereby constraining vegetation growth and altering ecosystem processes. Vegetation recovery time following drought plays a crucial role in ecosystem stability, and extensive studies have been conducted to quantify vegetation recovery. However, most studies estimate vegetation recovery time using a single vegetation index, which does not adequately reflect how vegetation responds to drought conditions, since different vegetation indicators reflect different facets of vegetation dynamics. In this study, multiple vegetation indicators, including Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI), Gross Primary Productivity (GPP), and Solar-Induced Chlorophyll Fluorescence (SIF), were applied to investigate post-drought vegetation recovery in the Yangtze River Basin (YRB). The findings reveal that: (1) most vegetation recovered within four months after drought, with one-month recovery being the most prevalent, followed by four-month recovery; (2) the average recovery times derived from EVI, LAI, NDVI, GPP, and SIF were 2.23, 1.62, 2.45, 2.79, and 2.00 months respectively; (3) forests exhibited the fastest recovery rates, whereas shrublands recovered the slowest. This study assesses post-drought vegetation status via the recovery duration, offers theoretical basis for water resource allocation optimization, and provides important reference for coping with future ecological risks. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Highlights: What are the main findings? This study analyzes vegetation recovery after the extreme drought event across the Yangtze River Basin in 2022. Vegetation recovery timing exhibits distinct differences among multiple remote-sensing indicators. Recovery timing varies substantially across different vegetation types. LAI shows the shortest recovery time, whereas GPP presents the longest recovery period. Forest and grassland achieve faster recovery, while cropland and shrubland exhibit relatively slow recovery. What are the implications of the main findings? Multi-indicator comparisons are essential for comprehensively assessing post-drought vegetation resilience. Vegetation-type-dependent recovery differences provide references for ecological restoration under drought disturbance. Extreme drought events have become increasingly frequent under ongoing climatic change, thereby constraining vegetation growth and altering ecosystem processes. Vegetation recovery time following drought plays a crucial role in ecosystem stability, and extensive studies have been conducted to quantify vegetation recovery. However, most studies estimate vegetation recovery time using a single vegetation index, which does not adequately reflect how vegetation responds to drought conditions, since different vegetation indicators reflect different facets of vegetation dynamics. In this study, multiple vegetation indicators, including Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI), Gross Primary Productivity (GPP), and Solar-Induced Chlorophyll Fluorescence (SIF), were applied to investigate post-drought vegetation recovery in the Yangtze River Basin (YRB). The findings reveal that: (1) most vegetation recovered within four months after drought, with one-month recovery being the most prevalent, followed by four-month recovery; (2) the average recovery times derived from EVI, LAI, NDVI, GPP, and SIF were 2.23, 1.62, 2.45, 2.79, and 2.00 months respectively; (3) forests exhibited the fastest recovery rates, whereas shrublands recovered the slowest. This study assesses post-drought vegetation status via the recovery duration, offers theoretical basis for water resource allocation optimization, and provides important reference for coping with future ecological risks. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 20724292 |
| DOI: | 10.3390/rs18162824 |
