An evaluation framework for quantifying vegetation loss and recovery in response to meteorological drought based on SPEI and NDVI.


Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
01 Jan 2024
Historique:
received: 24 07 2023
revised: 24 09 2023
accepted: 05 10 2023
medline: 15 11 2023
pubmed: 9 10 2023
entrez: 8 10 2023
Statut: ppublish

Résumé

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 < 3 months) than that in low-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).

Identifiants

pubmed: 37806579
pii: S0048-9697(23)06259-9
doi: 10.1016/j.scitotenv.2023.167632
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

167632

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Chuanhao Wu (C)

Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210098, China. Electronic address: wuch0907@hotmail.com.

Lulu Zhong (L)

School of Environment, Jinan University, Guangzhou 511436, China. Electronic address: 1035319937@qq.com.

Pat J-F Yeh (PJ)

Department of Civil Engineering, School of Engineering, Monash University, Malaysia Campus, Malaysia.

Zhengjie Gong (Z)

College of Life Science and Technology, Jinan University, Guangzhou 510632, China.

Wenhan Lv (W)

School of Earth System Science, Tianjin University, Tianjin 300072, China.

Bei Chen (B)

Guangdong South China Hydropower High tech Development Co., Ltd, Guangzhou 510610, China.

Jun Zhou (J)

College of Life Science and Technology, Jinan University, Guangzhou 510632, China.

Jiayun Li (J)

College of Life Science and Technology, Jinan University, Guangzhou 510632, China.

Saisai Wang (S)

College of Life Science and Technology, Jinan University, Guangzhou 510632, China.

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