Dynamics of the wetland vegetation in large lakes of the Yangtze Plain in response to both fertilizer consumption and climatic changes

Hou, Xuejiao1,2; Feng, Lian1,3,4; Chen, Xiaoling2; Zhang, Yunlin3

2018-07

10.1016/j.isprsjprs.2018.04.015

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING   影响因子和分区

0924-2716

1872-8235

Using moderate-resolution imaging spectroradiometer (MODIS) data that cover the 15-year period from 2000 to 2014 and a phenology-based classification method, the long-term changes in the wetland vegetation of 25 large lakes on the Yangtze Plain were obtained. The classification method was developed based on the phenological information extracted from time series of MODIS observations, which demonstrated mean user's/producer's accuracies of 76.17% and 84.58%, respectively. The first comprehensive record of the spatial distribution and temporal dynamics of wetland vegetation in the large lakes on the Yangtze Plain was created. Of the 25 lakes examined, 17 showed a decreasing trend of vegetation area percentages (VAPs) during the study period, and 7 were statistically significant (p < 0.05). The same number of lakes was found to display decreasing trends in vegetation greenness over this 15-year period, and these decreasing trends were statistically significant (p < 0.05) for 11 of the lakes. Substantially fewer lakes showed increases in either their VAPs or their vegetation greenness values. Analysis using a multiple general linear model revealed that the amounts of chemical fertilizer used for farmlands surrounding the lakes, precipitation, daily sunshine hours, temperature and water turbidity played the most important roles in regulating the interannual changes in vegetation greenness in 40% (10/25), 12% (3/25), 4% (1/25), 20% (5/25) and 12% (3/25) of the lake wetlands, respectively. On average, the combined effects of these five driving factors above explained 89.08 7.89% of the variation in greenness over this 15-year period for the 25 lakes. This wetland vegetation environmental data record (EDR) of large lakes in Yangtze Plain demonstration will provide a crucial baseline information for the wetland environment conservation and restoration.

Wetland vegetation Yangtze Plain Lakes MODIS Time series Fertilizer consumption

SCI ; EI

英语

第一 ; 通讯

Southern University of Science and Technology[G01296001]

Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology

Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology

WOS:000436911700012

ELSEVIER SCIENCE BV

20182005190085

Chemical analysis ; Classification (of information) ; Fertilizers ; Radiometers ; Satellite imagery ; Time series ; Vegetation ; Wetlands

Satellites:655.2 ; Information Theory and Signal Processing:716.1 ; Chemical Products Generally:804 ; Mathematical Statistics:922.2 ; Radiation Measuring Instruments:944.7

GEOSCIENCES

Web of Science

1.Southern Univ Sci & Technol China, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China
2.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China
3.Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing 210008, Jiangsu, Peoples R China
4.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Guangdong Prov Key Lab Soil & Groundwater Pollut, Shenzhen 518055, Peoples R China

Hou, Xuejiao,Feng, Lian,Chen, Xiaoling,et al. Dynamics of the wetland vegetation in large lakes of the Yangtze Plain in response to both fertilizer consumption and climatic changes[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2018,141:148-160.

Hou, Xuejiao,Feng, Lian,Chen, Xiaoling,&Zhang, Yunlin.(2018).Dynamics of the wetland vegetation in large lakes of the Yangtze Plain in response to both fertilizer consumption and climatic changes.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,141,148-160.

Hou, Xuejiao,et al."Dynamics of the wetland vegetation in large lakes of the Yangtze Plain in response to both fertilizer consumption and climatic changes".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 141(2018):148-160.