Affiliations 

  • 1 Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210098, China. Electronic address: wuch0907@hotmail.com
  • 2 School of Environment, Jinan University, Guangzhou 511436, China. Electronic address: 1035319937@qq.com
  • 3 Department of Civil Engineering, School of Engineering, Monash University, Malaysia Campus, Malaysia
  • 4 College of Life Science and Technology, Jinan University, Guangzhou 510632, China
  • 5 School of Earth System Science, Tianjin University, Tianjin 300072, China
  • 6 Guangdong South China Hydropower High tech Development Co., Ltd, Guangzhou 510610, China
Sci Total Environ, 2024 Jan 01;906:167632.
PMID: 37806579 DOI: 10.1016/j.scitotenv.2023.167632

Abstract

Drought affects vegetation growth to a large extent. Understanding the dynamic changes of vegetation during drought is of great significance for agricultural and ecological management and climate change adaptation. The relations between vegetation and drought have been widely investigated, but how vegetation loss and restoration in response to drought remains unclear. Using the standardized precipitation evapotranspiration index (SPEI) and the normalized difference vegetation index (NDVI) data, this study developed an evaluation framework for exploring the responses of vegetation loss and recovery to meteorological drought, and applied it to the humid subtropical Pearl River basin (PRB) in southern China for estimating the loss and recovery of three vegetation types (forest, grassland, cropland) during drought using the observed NDVI changes. Results indicate that vegetation is more sensitive to drought in high-elevation areas (lag time  8 months). Vegetation loss (especially in cropland) is found to be more sensitive to drought duration than drought severity and peak. No obvious linear relationship between drought intensity and the extent of vegetation loss is found. Regardless of the intensity, drought can cause the largest probability of mild loss of vegetation, followed by moderate loss, and the least probability of severe loss. Large spatial variability in the probability of vegetation loss and recovery time is found over the study domain, with a higher probability (up to 50 %) of drought-induced vegetation loss and a longer recovery time (>7 months) mostly in the high-elevation areas. Further analysis suggests that forest shows higher but cropland shows lower drought resistance than other vegetation types, and grassland requires a shorter recovery time (4.2-month) after loss than forest (5.1-month) and cropland (4.8-month).

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.