{"title":"Satellite observations indicate slower recovery of woody components compared to upper-canopy and leaves in tropical rainforests after drought","authors":"Yujie Dou, Feng Tian, Jean-Pierre Wigneron, Xiaojun Li, Wenmin Zhang, Yaoliang Chen, Luwei Feng, Qi Xie, Rasmus Fensholt","doi":"10.1038/s43247-024-01892-9","DOIUrl":null,"url":null,"abstract":"The 2015–2016 El Niño-induced drought caused biomass loss in global tropical forests, yet the recovery duration of different vegetation components (woody components, upper canopies, and leaves) remains unknown. Here, we use satellite remote sensing data of vegetation optical depth and leaf area index, with varying sensitivity to different vegetation components, to examine vegetation recovery during the drought event. We find that the woody component had the slowest recovery compared to the upper canopy and leaves, and displayed greater spatial variability between continents. Key factors influencing woody recovery include drought severity, moisture-related climatic conditions (i.e., vapor pressure deficit, precipitation, and soil moisture), and seasonal variations in temperature and precipitation. Our study highlights the importance of different vegetation components for maintaining ecosystem balance under drought disturbances and indicates the need for further research to explore recovery mechanisms and the long-term impacts of drought on forest dynamics. Woody components of tropical forests have a slower recovery rate from severe drought compared to upper canopies and leaves, according to multiple remote sensing observations across the tropics during the El Niño-induced drought of 2015-2016","PeriodicalId":10530,"journal":{"name":"Communications Earth & Environment","volume":" ","pages":"1-10"},"PeriodicalIF":8.1000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s43247-024-01892-9.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications Earth & Environment","FirstCategoryId":"93","ListUrlMain":"https://www.nature.com/articles/s43247-024-01892-9","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The 2015–2016 El Niño-induced drought caused biomass loss in global tropical forests, yet the recovery duration of different vegetation components (woody components, upper canopies, and leaves) remains unknown. Here, we use satellite remote sensing data of vegetation optical depth and leaf area index, with varying sensitivity to different vegetation components, to examine vegetation recovery during the drought event. We find that the woody component had the slowest recovery compared to the upper canopy and leaves, and displayed greater spatial variability between continents. Key factors influencing woody recovery include drought severity, moisture-related climatic conditions (i.e., vapor pressure deficit, precipitation, and soil moisture), and seasonal variations in temperature and precipitation. Our study highlights the importance of different vegetation components for maintaining ecosystem balance under drought disturbances and indicates the need for further research to explore recovery mechanisms and the long-term impacts of drought on forest dynamics. Woody components of tropical forests have a slower recovery rate from severe drought compared to upper canopies and leaves, according to multiple remote sensing observations across the tropics during the El Niño-induced drought of 2015-2016
期刊介绍:
Communications Earth & Environment is an open access journal from Nature Portfolio publishing high-quality research, reviews and commentary in all areas of the Earth, environmental and planetary sciences. Research papers published by the journal represent significant advances that bring new insight to a specialized area in Earth science, planetary science or environmental science.
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