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DOI10.3390/rs15061503
Causes and Impacts of Decreasing Chlorophyll-a in Tibet Plateau Lakes during 1986-2021 Based on Landsat Image Inversion
Pang, Shuyu; Zhu, Liping; Liu, Chong; Ju, Jianting
发表日期2023
EISSN2072-4292
卷号15期号:6
英文摘要Lake chlorophyll-a (Chl-a) is one of the important components of the lake ecosystem. Numerous studies have analyzed Chl-a in ocean and inland water ecosystems under pressures from climate change and anthropogenic activities. However, little research has been conducted on lake Chl-a variations in the Tibet Plateau (TP) because of its harsh environment and limited opportunities for in situ data monitoring. Here, we combined 95 in situ measured lake Chl-a concentration data points and the Landsat reflection spectrum to establish an inversion model of Chl-a concentration. For this, we retrieved the mean annual Chl-a concentration in the past 35 years (1986-2021) of 318 lakes with an area of > 10 km(2) in the TP using the backpropagation (BP) neural network prediction method. Meteorological and hydrological data, measured water quality parameters, and glacier change in the lake basin, along with geographic information system (GIS) technology and spatial statistical analysis, were used to elucidate the driving factors of the Chl-a concentration changes in the TP lakes. The results showed that the mean annual Chl-a in the 318 lakes displayed an overall decrease during 1986-2021 (-0.03 mu g/L/y), but 63%, 32%, and 5% of the total number exhibited no significant change, significant decrease, and significant increase, respectively. After a slight increase during 1986-1995 (0.05 mu g/L/y), the mean annual lake Chl-a significantly decreased during 1996-2004 (-0.18 mu g/L/y). Further, it decreased slightly during 2005-2021 (-0.02 mu g/L/y). The mean annual lake Chl-a concentration was significantly negatively correlated with precipitation (R-2 = 0.48, p < 0.01), air temperature (R-2 = 0.31, p < 0.01), lake surface water temperature (LSWT) (R-2 = 0.51, p < 0.01), lake area (R-2 = 0.42, p < 0.01), and lake water volume change (R-2 = 0.77, p < 0.01). The Chl-a concentration of non-glacial-meltwater-fed lakes were higher than those of glacial-meltwater-fed lakes, except during higher precipitation periods. Our results shed light on the impacts of climate change on Chl-a variation in the TP lakes and lay the foundation for understanding the changes in the TP lake ecosystem.
关键词Tibetan Plateaulake chlorophyll-aremote sensing inversionverification of in situ dataclimate change
英文关键词DISSOLVED ORGANIC-MATTER; WATER STORAGE CHANGES; REMOTE ESTIMATION; CLIMATE-CHANGE; ICE PHENOLOGY; TIME-SERIES; PHYTOPLANKTON; QUALITY; TEMPERATURE; ALGORITHMS
WOS研究方向Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000958483200001
来源期刊REMOTE SENSING
来源机构中国科学院青藏高原研究所
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/283320
作者单位Chinese Academy of Sciences; Institute of Tibetan Plateau Research, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
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GB/T 7714
Pang, Shuyu,Zhu, Liping,Liu, Chong,et al. Causes and Impacts of Decreasing Chlorophyll-a in Tibet Plateau Lakes during 1986-2021 Based on Landsat Image Inversion[J]. 中国科学院青藏高原研究所,2023,15(6).
APA Pang, Shuyu,Zhu, Liping,Liu, Chong,&Ju, Jianting.(2023).Causes and Impacts of Decreasing Chlorophyll-a in Tibet Plateau Lakes during 1986-2021 Based on Landsat Image Inversion.REMOTE SENSING,15(6).
MLA Pang, Shuyu,et al."Causes and Impacts of Decreasing Chlorophyll-a in Tibet Plateau Lakes during 1986-2021 Based on Landsat Image Inversion".REMOTE SENSING 15.6(2023).
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