Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake, China
文献类型：期刊论文
| 作者 | Luo, Juhua1; Li, Xinchuan1; Ma, Ronghua1; Li, Fei1; Duan, Hongtao1; Hu, Weiping1; Qin, Boqiang1; Huang, Wenjiang1 |
| 刊名 | Ecological Indicators
 |
| 出版日期 | 2016 |
| 卷号 | 60页码:503-513 |
| 关键词 | LAND-SURFACE TEMPERATURE METRICS PATTERN CONFIGURATION INDICATORS IMPACTS ECOLOGY |
| 通讯作者 | Luo, Juhua |
| 英文摘要 | 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 km2 to 148.00 km2 (R2 = 0.84), whereas the area covered by Type II first increased and then decreased, with a trend conforming to a significant quadratic curve (R2 = 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 (R2 = 0.66) and a significant, but delayed, effect on the growth of Type II. © 2015 Elsevier Ltd. All rights reserved. |
| 学科主题 | Biodiversity & Conservation; Environmental Sciences & Ecology |
| 类目[WOS] | Biodiversity Conservation ; Environmental Sciences |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20153401192425 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39493]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China 2. School of Earth Sciences and Engineering, Hohai University, Nanjing, China 3. Key Laboratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Luo, Juhua,Li, Xinchuan,Ma, Ronghua,et al. Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake, China[J]. Ecological Indicators,2016,60:503-513. |
| APA | Luo, Juhua.,Li, Xinchuan.,Ma, Ronghua.,Li, Fei.,Duan, Hongtao.,...&Huang, Wenjiang.(2016).Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake, China.Ecological Indicators,60,503-513. |
| MLA | Luo, Juhua,et al."Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake, China".Ecological Indicators 60(2016):503-513. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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