Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake, China
Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake, China
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应用遥感技术监测太湖水生植被的季节和年际变化
DOI：
10.1016/j.ecolind.2015.07.029
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发表时间：
2016-01-01
影响因子：
6.9
通讯作者：
Huang, Wenjiang
中科院分区：
文献类型：
--
作者：
Luo, Juhua;Li, Xinchuan;Huang, Wenjiang
了解水生植被类型的组成和面积分布及其季节和年际变化对于管理和维持湖泊生态系统的平衡至关重要。本研究收集了一系列分辨率为 30 m 的遥感图像（HJ-CCD 和 Landsat TM），并用于绘制中国太湖水生植被类型的分布图。探索和分析了水生植被类型的季节和年际动态。利用 I 型（挺水、浮叶和漂浮植被）和 II 型（沉水植被）的分布区域，通过双 Logistic 函数模拟其生长季节物候。由此产生的双Logistic模型显示，I型面积在8月中旬达到峰值，II型面积最大出现在9月中旬。 1984年至2013年，Ⅰ类面积从59.75 km(2)持续增加到148.00 km(2)(R-2=0.84)，而Ⅱ类面积则先增加后减少，趋势符合显着的二次曲线(R-2=0.83)。太湖的富营养化和稳定状态采用简单的指标进行评估，该指标以II类面积与I类面积的比值表示。结果表明，自 2000 年以来，研究地区湖泊的富营养化可能一直在加剧。此外，结果表明气温可能对 I 型生长有直接影响（R-2 = 0.66），对 II 型生长有显着但延迟的影响。 (C) 2015 Elsevier Ltd. 保留所有权利。
Knowledge of the composition and areal distribution of aquatic vegetation types, as well as their seasonal and interannual variations, is crucial for managing and maintaining the balance of lake ecosystems. In this study, a series of remotely sensed images with a resolution of 30 m (HJ-CCD and Landsat TM) were collected and used to map the distribution of aquatic vegetation types in Taihu Lake, China. Seasonal and interannual dynamics of aquatic vegetation types were explored and analyzed. The distribution areas of Type I (emergent, floating-leaved and floating vegetation) and Type II (submerged vegetation) were used to model their growing season phenology by double logistic functions. The resulting double logistic models showed, the area of Type I reached its peak in mid-August, and the maximum area for Type II occurred in mid-September. From 1984 to 2013, Type I area increased continuously from 59.75 km(2) to 148.00 km(2) (R-2 = 0.84), whereas the area covered by Type II first increased and then decreased, with a trend conforming to a significant quadratic curve (R-2 = 0.83). The eutrophication and stable state of Taihu Lake was assessed using a simple indicator which was expressed as a ratio of Type II area to Type I area. The results showed that the eutrophication in the lake might have been increasing in the area studied since 2000. Additionally, the results showed that air temperature had likely a direct effect on the growth of Type I (R-2 = 0.66) and a significant, but delayed, effect on the growth of Type II. (C) 2015 Elsevier Ltd. All rights reserved.