Impact of Hydrological Regime and Temperature on Vegetation Growth Patterns in Floodplain Lakes Under Extreme Drought

Abstract The hydrological regime, particularly flooding duration and depth, is one of the primary driving factors for the vegetation pattern in floodplain lakes. Climate change‐induced droughts are extending shoal exposure times, potentially amplifying the impact of temperature on plant growth. Howe...

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Hlavní autoři:	Siyang Yao, Jutao Liu, Gang Li, Huiming Han, Gang Wang, Ning Liao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2026-03-01
Edice:	Water Resources Research
Témata:	climate change hydrological regime vegetation growth interpretable machine learning Poyang lake
On-line přístup:	https://doi.org/10.1029/2025WR042618
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