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Remote Sensing for Natural Resources    2024, Vol. 36 Issue (1) : 179-188     DOI: 10.6046/zrzyyg.2022375
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Ecological environment in the Dongting Lake basin over the past decade: Spatio-temporal dynamic characteristics and their influencing factors from 2010 to 2019
LI Shijie(), FENG Huihui(), WANG Zhen, YANG Zhuolin, WANG Shu
School of Earth Science and Information Physics, Central South University, Changsha 410083, China
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Abstract  

Since the Dongting Lake basin is a significant ecological zone in the middle and lower reaches of the Yangtze River, quantitative monitoring and evaluation of its ecological environment serve as a prerequisite for regional ecological conservation, restoration, and governance. Using MODIS products involving 2010—2019 remote sensing data, this study constructed the remote sensing ecological index (RSEI) for the Dongting Lake basin based on four ecological indices: greenness, humidity, dryness, and heat. Furthermore, this study explored the spatio-temporal dynamic characteristics of the ecological environment in the basin and their influencing factors. The results show that: ① From 2010 to 2019, the Dongting Lake basin exhibited an elevated greenness index, a reduced humidity index, and relatively stable dryness and heat indices; ② The ecological environment of the Dongting Lake basin was generally satisfactory, with a mean annual RSEI of 0.58, indicating a fluctuating growth. In terms of spatial distribution, the ecological environment in the western and surrounding areas was superior to that in the eastern and central areas; ③ There were strong correlations between RSEI and precipitation, air temperature, elevation, and land cover. The RSEI was the highest (0.65) for forest land and the lowest (0.31) for construction land. As for the two primary land conversion types (grassland → forest land, arable land → grassland) in the basin, the former type could improve the regional ecological environment (ΔRSEI=0.002 5, a contribution rate of 46.3%), whereas the latter type might lead to ecological environment deterioration (ΔRSEI=-0.000 4, contribution rate: 44.44%). The results of this study, assisting in deeply understanding the spatio-temporal characteristics of the ecological environment in the basin and their internal driving mechanisms and facilitating scientific land planning and ecological environment governance, hold critical theoretical and practical significance.
Keywords remote sensing ecological index      MODIS data      land use/cover change      Dongting Lake basin     
ZTFLH:  TP79  
  P09  
Issue Date: 13 March 2024
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Shijie LI
Huihui FENG
Zhen WANG
Zhuolin YANG
Shu WANG
Cite this article:   
Shijie LI,Huihui FENG,Zhen WANG, et al. Ecological environment in the Dongting Lake basin over the past decade: Spatio-temporal dynamic characteristics and their influencing factors from 2010 to 2019[J]. Remote Sensing for Natural Resources, 2024, 36(1): 179-188.
URL:  
https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022375     OR     https://www.gtzyyg.com/EN/Y2024/V36/I1/179
Fig.1  General situation of Dongting Lake basin
Fig.2  Interannual variation trend of indicators
Fig.3  Spatial distribution characteristics of ecological indicators
指标 2010年 2011年 2012年 2013年 2014年 2015年 2016年 2017年 2018年 2019年
NDVI 0.490 0.520 0.700 0.550 0.640 0.710 0.750 0.610 0.660 0.580
WET 0.068 0.095 0.056 0.052 0.068 0.041 0.054 0.053 0.066 0.088
NDSI -0.200 -0.150 -0.097 -0.059 -0.150 -0.029 -0.031 -0.085 -0.022 -0.099
LST -0.840 -0.840 -0.700 -0.830 -0.750 -0.700 -0.650 -0.790 -0.750 -0.800
特征值 0.009 0.009 0.006 0.009 0.005 0.005 0.006 0.008 0.007 0.009
方差贡献率/% 77.700 81.100 76.800 84.600 73.500 78.300 82.800 80.800 81.800 82.800
Tab.1  Principal component analysis results
Fig.4  Interannual variation trend of RSEI
RSEI
质量
等级		 多年均值 2013年 2016年
面积/
km2		 占比/% 面积/
km2		 占比/% 面积/
km2		 占比/%
差 790 0.30 1 221 0.47 1 068 0.41
较差 10 488 4.01 25 712 9.84 8 525 3.26
良好 126 373 48.36 151 525 57.98 97 878 37.45
较优 121 676 46.56 80 449 30.78 148 124 56.68
优 2 016 0.77 246 0.93 5 748 2.20
Tab.2  Ecological status grade area statistics
Fig.5  Ecological environment status level
Fig.6  Trends of RSEI mean annual growth season in different land types from 2010 to 2019
土地利用转换类型 编号 面积/km2 占比/%
永久林地 1111111111① 143 243 54.81
永久草地 2222222222 50 340 19.26
永久耕地 3333333333 30 068 11.51
永久建筑用地 4444444444 3 081 1.18
永久水体与湿地 5555555555 1 526 0.58
林地→草地 — 3 798 1.45
草地→耕地 — 6 260 2.40
草地→林地 — 5 524 2.11
耕地→草地 — 4 315 1.65
Tab.3  Land use change conversion type
Fig.7  Spatial distribution of land use conversion types
土地利用
变化类型		 轨迹编号 面积/
km2		 RSEI平
均变化率		 贡献值 贡献
率/%
林地→草地 1111111112 470 0.001 6 -0.000 4 14.8
1111111122 651 0.001 7
1111111222 730 0.001 2
1111122222 227 0.000 9
1111222222 295 0.001 3
1112222222 467 0.002 2
1122222222 423 0.002 8
1222222222 535 0.003 3
草地→林地 2111111111 538 0.004 6 0.002 5 46.3
2211111111 677 0.004 9
2221111111 535 0.004 8
2222111111 609 0.005 6
2222211111 539 0.005 9
2222221111 299 0.006 0
2222222111 777 0.005 9
2222222211 1 140 0.005 3
2222222221 1 146 0.005 7
草地→耕地 2222222223 701 0.003 1 0.000 9 23.7
2222222233 816 0.003 6
2222222333 706 0.002 9
2222223333 310 0.003 6
2222233333 339 0.003 3
2222333333 409 0.004 1
2223333333 604 0.004 6
2233333333 906 0.004 4
2333333333 733 0.004 5
耕地→草地 3222222222 532 -0.000 5 -0.000 4 44.4
3322222222 360 -0.001 4
3332222222 372 -0.002 7
3333222222 422 -0.003 0
3333322222 273 -0.001 4
3333333222 574 -0.001 3
3333333322 675 -0.000 9
3333333332 1 107 -0.000 5
Tab.4  Contribution characteristics of land use change trajectory
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