Spatio-temporal Evolution Characteristics of Vegetation in Water Source Area of the Middle Route Project of South-to-North Water Diversion

LI Peng-ao; JIANG Yong-tao; QI Peng-cheng; WANG Li-mei

doi:10.11988/ckyyb.20210505

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Journal of Changjiang River Scientific Research Institute ›› 2022, Vol. 39 ›› Issue (9) : 49-55. DOI: 10.11988/ckyyb.20210505

SOIL AND WATER CONSERVATION AND ECOLOGICAL RESTORATION

Spatio-temporal Evolution Characteristics of Vegetation in Water Source Area of the Middle Route Project of South-to-North Water Diversion

LI Peng-ao^1,2, JIANG Yong-tao², QI Peng-cheng², WANG Li-mei²

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Abstract

The spatio-temporal evolution of vegetation in the water source area of the middle route project of South-to-North Water Diversion is researched via data processing and analysis using ArcMap software and Unary Linear Regression Model based on the Moderate-resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) data in 2010—2019.The causes of vegetation change are also discussed in association with the data of surface temperature,precipitation and soil humidity in the water source area.Results manifest that (1) the distribution of NDVI in the source area is strongly correlated with terrain.From 2010 to 2019,the mean value of NDVI displayed a steady upward trend.(2) From 2013 to 2015,NDVI showed a notable decrease-recovery trend,which is possibly related to the extreme drought due to land surface temperature and precipitation anomalies in 2014,the restoration of precipitation and the increase in the water level of Danjiangkou Reservoir in 2015.(3) From 2010 to 2019,the areas with significant changes in NDVI mainly concentrated in low-altitude densely populated areas,indicating that the vegetation in these areas is more susceptible to climate change,urban expansion and the policy of “farm land returning to woodland and planting trees”.In addition,the rising of the water level of Danjiangkou Reservoir after the running of middle route project led to the reduction of NDVI in the reservoir area.The research findings offer scientific basis for the restoration and protection of natural vegetation in the water source area of the Middle Route Project of South-to-North water diversion.

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spatial-temporal variation of vegetation / Middle Route Project of South-to-North Water Diversion / water source area / MODIS / NDVI

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LI Peng-ao, JIANG Yong-tao, QI Peng-cheng, WANG Li-mei. Spatio-temporal Evolution Characteristics of Vegetation in Water Source Area of the Middle Route Project of South-to-North Water Diversion[J]. Journal of Changjiang River Scientific Research Institute. 2022, 39(9): 49-55 https://doi.org/10.11988/ckyyb.20210505

References

[1] 付战勇,马一丁,罗明,等.生态保护与修复理论和技术国外研究进展[J].生态学报,2019,39(23):9008-9021.
[2] 热伊莱·卡得尔,玉苏甫·买买提,玉素甫江·如素力,等.伊犁河谷2001—2014年地表温度时空分异特征[J].中国沙漠,2018,38(3):637-644.
[3] 王晓利,侯西勇.1982—2014年中国沿海地区归一化植被指数(NDVI)变化及其对极端气候的响应[J].地理研究,2019,38(4):69-83.
[4] 阿迪来·乌甫,玉素甫江·如素力,热伊莱·卡得尔,等.新疆焉耆盆地LAI反演及空间分布特征[J].中国沙漠,2016,36(5):1340-1347.
[5] 梁志林,张立燕,曾现灵,等.高光谱遥感城市植被识别方法研究[J].地理空间信息,2017,15(2):72-75,10.
[6] TURLLER P T.Remote Sensing Technology for Rangeland Management Applications[J].Journal of Range Management,1989,42(6):442-453.
[7] 杜刚.基于EOS/MODIS的植被指数监测模型研究及应用[D].武汉:华中科技大学,2005.
[8] 张树誉,李登科,景毅刚,等.基于MODIS时序植被指数的陕西植被季相变化分析[J].中国农业气象,2007(1):91-95.
[9] 曹博,张勃,马彬,等.2000—2014年甘肃省NDVI时空变化特征[J].中国沙漠,2018,38(2):418-427.
[10] 颜丽虹.基于不同尺度NDVI定量分析的区域植被生态空间分布与演变研究:以漓江流域为例[J].中国农业大学学报,2016(7):105-112.
[11] 赵维清,李经纬,褚琳,等.近10年湖北省植被指数时空变化特征及其驱动力[J].生态学报,2018,39(20):7722-7736.
[12] 李杰,张军,刘陈立,等.基于MODIS-NDVI的中老缅交界区近16年植被覆盖时空变化特征[J].林业科学,2019(8):9-18.
[13] 周志强,曾源,张磊,等.南水北调中线水源区植被覆盖度遥感监测分析[J].国土资源遥感,2012(1):75-81.
[14] 高文文,曾源,刘宇,等.南水北调中线水源区2000—2015年森林动态变化遥感监测[J].林业科学,2019,55(4):100-110.
[15] 袁沫汐.湖北省植被动态变化与物候对气候变化的响应[D].武汉:武汉大学,2017.
[16] 尹占娥.现代遥感导论[M].北京:科学出版社,2008.
[17] 孙家抦.遥感原理与应用[M].2版.武汉:武汉大学出版社,2009.
[18] 戴梦,陈健,吴珊.基于MODIS影像的鄱阳湖水面面积变化监测[J].科技经济市场,2016(10):177-178.
[19] 李杰,张军,刘陈立,等.基于MODIS-NDVI的中老缅交界区近16年植被覆盖时空变化特征[J].林业科学,2019,55(8):9-18.
[20] 邱丽莎,何毅,张立峰,等.祁连山MODIS LST时空变化特征及影响因素分析[J].干旱区地理,2020,43(3):1-14.
[21] 何宝忠,丁建丽,张喆,等.新疆植被覆盖度趋势演变实验性分析[J].地理学报,2016,71(11):1948-1966.
[22] 徐勇,奚砚涛,刘欣婷.2000—2013年江苏省植被覆盖度时空变化特征[J].西南农业学报,2016,29(2):437-444.
[23] 武娜,刘桂香,包玉海.基于归一化植被指数的达茂旗植被覆盖度的变化研究[J].内蒙古科技与经济,2015(15):78-80.
[24] 郭磊,王世东.河南省近30年植被指数与气象因子的相关性分析[J].生态科学,2018,37(5):102-112.
[25] PENG S Z,DING D M,LIU W Z.1 km Monthly Temperature and Precipitation Dataset for China from 1901 to 2017[J].Earth System Science Data,2019,11(4):1931-1946.
[26] MENG X J,MAO K B,MENG F,et al.A Fine-resolution Soil Moisture Dataset for China in 2002-2018[J].Earth System Science Data,2021,13(7) :3239-3261.
[27] 王俊霞,朱秀芳,刘宪锋,等.基于多源遥感数据的旱情评价研究:以河南省为例[J].国土资源遥感,2018,30(1):180-186.
[28] 水利部.中国河流泥沙公报(2014)[M].北京:中国水利水电出版社,2015.
[29] 孙建芸,袁琳,王新生,等.基于GF_1卫星的丹江口水库水面面积-蓄水量-水位相关性研究[J].南水北调与水利科技,2017,15(5):89-96.
[30] 万育生,张乐群,黄茁,等.南水北调中线水源地高水位蓄水水质变化及污染防治对策[J].中国水利,2018,857(23):49-52,80.
[31] 余玉洋,王银苹,秦奋,等.河南省植被覆盖指数变化及其对气候的响应[J].森林与环境学报,2019,39(3):280-286.