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利用卫星太阳诱导叶绿素荧光评估云贵高原不同植被类型对干旱的响应。

Assessing the responses of different vegetation types to drought with satellite solar-induced chlorophyll fluorescence over the Yunnan-Guizhou Plateau.

出版信息

Opt Express. 2023 Oct 23;31(22):35565-35582. doi: 10.1364/OE.501964.

DOI:10.1364/OE.501964
PMID:38017724
Abstract

The Yunnan-Guizhou Plateau (YGP) is an important ecological region in southwestern China with frequent and severe droughts affecting its vegetation and ecosystem. Many studies have used vegetation indices to monitor drought effects on vegetation across the entire ecosystem. However, the drought response of different vegetation types in the YGP is unclear. This study used solar-induced chlorophyll fluorescence (SIF) and normalized difference vegetation Index (NDVI) data to monitor different vegetation types. The results showed that cropland was most sensitive and woody savanna was most resistant to drought. SIF had a stronger correlation with drought than NDVI, indicating its potential for vegetation monitoring.

摘要

云贵高原(YGP)是中国西南部的一个重要生态区,经常发生严重干旱,影响其植被和生态系统。许多研究使用植被指数来监测整个生态系统中干旱对植被的影响。然而,YGP 不同植被类型对干旱的响应尚不清楚。本研究利用太阳诱导叶绿素荧光(SIF)和归一化差值植被指数(NDVI)数据监测不同植被类型。结果表明,耕地最敏感,木本稀树草原最耐旱。SIF 与干旱的相关性强于 NDVI,表明其在植被监测方面具有潜力。

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