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Three-dimensional ecological drought identification and evaluation method considering eco-physiological status of terrestrial ecosystems

Zhu, Yongwei ; Jiang, Shanhu ; Ren, Liliang ; Guo, Jianying ; Zhong, Feng ; Du, Shuping ; Cui, Hao ; He, Miao and Duan, Zheng LU (2024) In Science of the Total Environment 951.
Abstract

Ecological drought is a complex process in terrestrial ecosystems where vegetation's eco-physiological functions are impaired due to water stress. However, there is currently a lack of long-term assessment of ecological drought from an eco-physiological perspective. In this study, the standardized ecological drought index (SESNDI) was developed using actual evaporation, root soil moisture, and kernel normalized difference vegetation index via the Euclidean distance method, reflecting ecosystem physiology, water supply capacity, and vegetation status. Solar-induced chlorophyll fluorescence validated SESNDI by reflecting vegetation photosynthesis. Using China as an example, severely impacted by climate change and ecological restoration,... (More)

Ecological drought is a complex process in terrestrial ecosystems where vegetation's eco-physiological functions are impaired due to water stress. However, there is currently a lack of long-term assessment of ecological drought from an eco-physiological perspective. In this study, the standardized ecological drought index (SESNDI) was developed using actual evaporation, root soil moisture, and kernel normalized difference vegetation index via the Euclidean distance method, reflecting ecosystem physiology, water supply capacity, and vegetation status. Solar-induced chlorophyll fluorescence validated SESNDI by reflecting vegetation photosynthesis. Using China as an example, severely impacted by climate change and ecological restoration, ecological drought's spatio-temporal variation and propagation characteristics was evaluated using clustering algorithms. The results demonstrated that (1) SESNDI showed superior performance over several other drought indices. (2) During 1982–2020, ecological drought was prevalent from 1990 to 2010, especially in the central and northeastern regions. (3) Compared to 1982–2000, the median duration and affected area of ecological drought events during 2001–2020 reduced by four months and 1.51 × 105 km2, respectively, while the median intensity increased by 0.06. (4) Decreased precipitation and increased temperature were the primary factors contributing to the frequent occurrence of ecological drought in China from 1990 to 2010. This study offers a crucial methodology for evaluating ecological drought, serving as a reference for developing effective terrestrial restoration strategies.

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author
; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Climate change, Drought propagation, Ecological drought, Ecological restoration, Three-dimensional clustering algorithm
in
Science of the Total Environment
volume
951
article number
175423
publisher
Elsevier
external identifiers
  • scopus:85200978368
  • pmid:39134267
ISSN
0048-9697
DOI
10.1016/j.scitotenv.2024.175423
language
English
LU publication?
yes
id
946cad92-02ce-4813-acab-c10b901f1e3a
date added to LUP
2024-08-30 11:53:15
date last changed
2024-09-27 14:08:07
@article{946cad92-02ce-4813-acab-c10b901f1e3a,
  abstract     = {{<p>Ecological drought is a complex process in terrestrial ecosystems where vegetation's eco-physiological functions are impaired due to water stress. However, there is currently a lack of long-term assessment of ecological drought from an eco-physiological perspective. In this study, the standardized ecological drought index (SESNDI) was developed using actual evaporation, root soil moisture, and kernel normalized difference vegetation index via the Euclidean distance method, reflecting ecosystem physiology, water supply capacity, and vegetation status. Solar-induced chlorophyll fluorescence validated SESNDI by reflecting vegetation photosynthesis. Using China as an example, severely impacted by climate change and ecological restoration, ecological drought's spatio-temporal variation and propagation characteristics was evaluated using clustering algorithms. The results demonstrated that (1) SESNDI showed superior performance over several other drought indices. (2) During 1982–2020, ecological drought was prevalent from 1990 to 2010, especially in the central and northeastern regions. (3) Compared to 1982–2000, the median duration and affected area of ecological drought events during 2001–2020 reduced by four months and 1.51 × 10<sup>5</sup> km<sup>2</sup>, respectively, while the median intensity increased by 0.06. (4) Decreased precipitation and increased temperature were the primary factors contributing to the frequent occurrence of ecological drought in China from 1990 to 2010. This study offers a crucial methodology for evaluating ecological drought, serving as a reference for developing effective terrestrial restoration strategies.</p>}},
  author       = {{Zhu, Yongwei and Jiang, Shanhu and Ren, Liliang and Guo, Jianying and Zhong, Feng and Du, Shuping and Cui, Hao and He, Miao and Duan, Zheng}},
  issn         = {{0048-9697}},
  keywords     = {{Climate change; Drought propagation; Ecological drought; Ecological restoration; Three-dimensional clustering algorithm}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Science of the Total Environment}},
  title        = {{Three-dimensional ecological drought identification and evaluation method considering eco-physiological status of terrestrial ecosystems}},
  url          = {{http://dx.doi.org/10.1016/j.scitotenv.2024.175423}},
  doi          = {{10.1016/j.scitotenv.2024.175423}},
  volume       = {{951}},
  year         = {{2024}},
}