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Quadratic Response and Adaption of Vegetation Growth to Hydrological Drought in Heterogeneous Lake Floodplain Wetlands

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Bibliographic Details
Title: Quadratic Response and Adaption of Vegetation Growth to Hydrological Drought in Heterogeneous Lake Floodplain Wetlands
Authors: Xuchun Ye, Enxin Yue, Yi Liu, Xianghu Li, Ligang Xu, Chong‐Yu Xu, Chuanzhe Li
Source: Water Resources Research, Vol 61, Iss 11, Pp n/a-n/a (2025)
Publisher Information: Wiley, 2025.
Publication Year: 2025
Collection: LCC:Environmental sciences
Subject Terms: standardized inundation area index, hydrological drought, quadratic fitting, time‐lag and cumulative effects, heterogeneous lake floodplains, Environmental sciences, GE1-350
Description: Abstract The growth state and distribution pattern of wetland vegetation are prominently affected by hydrological conditions, but the response and adaption of vegetation growth to hydrological drought in heterogeneous floodplain wetlands remain poorly understood. Given the critical role of eco‐hydrological conditions in lake functions, this study applied multi‐source remote sensing data and image fusion technology to construct continuous high‐spatiotemporal resolution Normalized Difference Water Index (NDWI) (8 days, 30 m) and Enhanced Vegetation Index (EVI) (16 days, 30 m) for the Poyang Lake (China's largest lake floodplain system) from 2000 to 2023. A novel Standardized Inundation Area Index (SIAI) was proposed, and then the responses of wetland vegetation growth to hydrological drought in the lake were quantitatively analyzed. Results revealed that EVI of the Poyang Lake floodplain wetlands exhibited a bimodal pattern throughout the year, with peaks in April and September. SIAI trends indicated a long‐term worsening condition of hydrological drought in the lake. Evident quadratic relationships were identified between EVI and SIAI at both monthly and annual time scales, with a concave fitted curve showing maximum annual EVI at SIAI = −1.46. The impact of hydrological drought on vegetation growth showed a 1–4 months time‐lag effect and a 2–11 months cumulative effect from March to June, though these were potentially interrupted by the summer flooding process. Autumn vegetation growth relied primarily on contemporary lake water conditions. The highlighted quadratic response of vegetation growth to hydrological drought deepens the understanding of floodplain eco‐hydrological adaptability under extreme water regimes.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1944-7973
0043-1397
Relation: https://doaj.org/toc/0043-1397; https://doaj.org/toc/1944-7973
DOI: 10.1029/2025WR040172
Access URL: https://doaj.org/article/f2aa8093f3704dfc895d5bfa1001e9bd
Accession Number: edsdoj.f2aa8093f3704dfc895d5bfa1001e9bd
Database: Directory of Open Access Journals
Description
Abstract:Abstract The growth state and distribution pattern of wetland vegetation are prominently affected by hydrological conditions, but the response and adaption of vegetation growth to hydrological drought in heterogeneous floodplain wetlands remain poorly understood. Given the critical role of eco‐hydrological conditions in lake functions, this study applied multi‐source remote sensing data and image fusion technology to construct continuous high‐spatiotemporal resolution Normalized Difference Water Index (NDWI) (8 days, 30 m) and Enhanced Vegetation Index (EVI) (16 days, 30 m) for the Poyang Lake (China's largest lake floodplain system) from 2000 to 2023. A novel Standardized Inundation Area Index (SIAI) was proposed, and then the responses of wetland vegetation growth to hydrological drought in the lake were quantitatively analyzed. Results revealed that EVI of the Poyang Lake floodplain wetlands exhibited a bimodal pattern throughout the year, with peaks in April and September. SIAI trends indicated a long‐term worsening condition of hydrological drought in the lake. Evident quadratic relationships were identified between EVI and SIAI at both monthly and annual time scales, with a concave fitted curve showing maximum annual EVI at SIAI = −1.46. The impact of hydrological drought on vegetation growth showed a 1–4 months time‐lag effect and a 2–11 months cumulative effect from March to June, though these were potentially interrupted by the summer flooding process. Autumn vegetation growth relied primarily on contemporary lake water conditions. The highlighted quadratic response of vegetation growth to hydrological drought deepens the understanding of floodplain eco‐hydrological adaptability under extreme water regimes.
ISSN:19447973
00431397
DOI:10.1029/2025WR040172