Temporal and Spatial Dynamics of Phytoplankton Primary Production in Lake Taihu Derived from MODIS Data

被引:45
|
作者
Deng, Yubing [1 ,2 ]
Zhang, Yunlin [1 ]
Li, Deping [2 ]
Shi, Kun [1 ]
Zhang, Yibo [1 ]
机构
[1] Chinese Acad Sci, Taihu Lake Lab Ecosyst Res Stn, State Key Lab Lake Sci & Environm, Nanjing Inst Geog & Limnol, Nanjing 210008, Jiangsu, Peoples R China
[2] Hunan Normal Univ, Coll Resources & Environm, GIS Res Ctr, Changsha 410081, Hunan, Peoples R China
来源
REMOTE SENSING | 2017年 / 9卷 / 03期
基金
中国国家自然科学基金;
关键词
primary production; VGPM model; Lake Taihu; carbon cycle; remote sensing estimation; 2-PHYTOPLANKTON COMMUNITY MODEL; OCEAN-COLOR; CHLOROPHYLL-A; SATELLITE DATA; CHINA; MICHIGAN; CLIMATE; WATER; VARIABILITY; PHOSPHORUS;
D O I
10.3390/rs9030195
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We investigated the long-term variations in primary production in Lake Taihu using Moderate Resolution Imaging Spectroradiometer (MODIS) data, based on the Vertically Generalized Production Model (VGPM). We firstly test the applicability of VGPM in Lake Taihu by comparing the results between the model-derived and the in situ results, and the results showed that a strong significant correlation (R-2 = 0.753, p < 0.001, n = 63). Then, VGPM was used to map temporal-spatial distributions of primary production in Lake Taihu. The annual mean daily primary production of Lake Taihu from 2003 to 2013 was 1094.06 +/- 720.74 mgCm(-2)d(-1). Long-term primary production maps estimated from the MODIS data demonstrated marked temporal and spatial variations. Spatially, the primary production in bays, especially in Zhushan Bay and Meiliang Bay, was consistently higher than that in the open area of Lake Taihu, which was caused by chlorophyll-a concentrations resulting from high nutrient concentrations. Temporally, the seasonal variation of primary production from 2003 to 2013 was: summer > autumn > spring > winter, with significantly higher primary production found in summer and autumn than in winter (p < 0.005, t-test), primarily caused by seasonal variations in water temperature. On a monthly scale, the primary production exerts a clear character of bimodality, increasing from January to May, decreasing in June or July, and finally reaching its highest value during August or September. Wind is another important factor that could affect the spatial variations of primary production in the large, eutrophic and shallow Lake Taihu.
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页数:18
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