Effect of climate and ecological restoration on vegetation changes in the "Three-River Headwaters" region based on remote sensing technology

被引:13
|
作者
Guo, Biyun [1 ,2 ]
Wang, Jushang [1 ]
Mantravadi, Venkata Subrahmanyam [1 ]
Zhang, Li [3 ]
Liu, Guangzhe [4 ]
机构
[1] Zhejiang Ocean Univ, Sch Marine Sci & Technol, Zhoushan 316022, Zhejiang, Peoples R China
[2] Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining 810016, Qinghai, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Civil & Hydraul Engn, Wuhan 430074, Hubei, Peoples R China
[4] Northwest A&F Univ, Coll Forestry, Yangling 712100, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Three-River Headwaters; MODIS; NDVI; Precipitation; Surface temperature; Ecological restoration; COVER; LAND; NDVI; EVAPOTRANSPIRATION; PARAMETERS;
D O I
10.1007/s11356-021-16927-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Surface temperature and precipitation are factors effecting vegetation growth. Vegetation coverage change is one of the important factors influencing global and regional climate change. Dynamic monitoring of vegetation change can reflect the trend of climate change to a certain extent. Three-River Headwaters are located in the hinterland of the Qinghai-Tibet Plateau. It has the characteristics of "high, cold, and dry" (higher altitude, cold and dry weather) and its ecosystem is fragile. In recent years, with the global climate change, a series of eco-environmental problems such as river flow cutoff, permafrost degradation, and vegetation destruction has occurred in the headwaters area, which are closely related to climate and vegetation changes. At the same time, in order to solve the problem of ecological environment degradation in the region, various ecological restoration policies have implemented. Several uncertainties in the relationship between vegetation and climate change in the Three-River Headwaters region. This study aims to find out the uncertainties. In this study, the spatial distribution of vegetation coverage was calculated by using NDVI (normalized difference vegetation index) from the first-level product of MODIS (moderate resolution imaging spectroradiometer) remote sensing data. Combining policy factors, the relationship between rainfall, surface temperature, and vegetation growth status were analyzed. The results show that during the study period (1948-2019), the temperature rose significantly and the rainfall increased especially after the implementation of ecological restoration policy (after 2000). Vegetation coverage increased year-by-year (2000-2015). The rainfall effect on surface temperature and vegetation growth, when the summer rainfall increased, the temperature decreased, leads to vegetation coverage decreased (for example, 2001, 2003, 2008 and 2011); the dependence of vegetation on rainfall has obvious lag in Three-River Headwaters in summer. In the years with suitable rainfall and higher temperature in summer, the vegetation grows better and the vegetation coverage increases. This is mainly because the Three-River Headwaters is located in the alpine zone, and vegetation growth is more dependent on temperature. The implementation of ecological restoration policy promotes vegetation coverage. Studying the impact of climate and policy factors on vegetation cover is of great scientific significance and practical value for understanding the ecological restoration mechanism in high cold and arid regions.
引用
收藏
页码:16436 / 16448
页数:13
相关论文
共 50 条
  • [21] Attribution of growing season vegetation activity to climate change and human activities in the Three-River Headwaters Region, China
    Chen, Chen
    Li, Tiejian
    Sivakumar, Bellie
    Li, Jiaye
    Wang, Guangqian
    JOURNAL OF HYDROINFORMATICS, 2020, 22 (01) : 186 - 204
  • [22] An Agent-Based Reasoning of Impacts of Regional Climate Changes on Land Use Changes in the Three-River Headwaters Region of China
    Zhang, Tao
    Zhan, Jinyan
    Huang, Juan
    Yu, Rui
    Shi, Chenchen
    ADVANCES IN METEOROLOGY, 2013, 2013
  • [23] More management is needed to improve the effectiveness of artificial grassland in vegetation and soil restoration on the three-river headwaters region of China
    Wang, Nengyu
    Wan, Jiayi
    Ding, Mingjun
    Zhang, Hua
    Li, Shicheng
    Liu, Linshan
    Zhang, Yili
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [24] Modeling grassland above-ground biomass based on artificial neural network and remote sensing in the Three-River Headwaters Region
    Yang, Shuxia
    Feng, Qisheng
    Liang, Tiangang
    Liu, Baokang
    Zhang, Wenjuan
    Xie, Hongjie
    REMOTE SENSING OF ENVIRONMENT, 2018, 204 : 448 - 455
  • [25] Diverse chronic responses of vegetation aboveground net primary productivity to climatic changes on Three-River Headwaters region
    Zhai, Dechao
    Gao, Xizhang
    Li, Baolin
    Yuan, Yecheng
    Li, Ying
    Liu, Wei
    Xu, Jie
    ECOLOGICAL INDICATORS, 2022, 139
  • [26] Spatiotemporal changes in vegetation coverage and its driving factors in the Three-River Headwaters Region during 2000–2011
    Xianfeng Liu
    Jinshui Zhang
    Xiufang Zhu
    Yaozhong Pan
    Yanxu Liu
    Donghai Zhang
    Zhihui Lin
    Journal of Geographical Sciences, 2014, 24 : 288 - 302
  • [27] Diverse chronic responses of vegetation aboveground net primary productivity to climatic changes on Three-River Headwaters region
    Zhai, Dechao
    Gao, Xizhang
    Li, Baolin
    Yuan, Yecheng
    Li, Ying
    Liu, Wei
    Xu, Jie
    ECOLOGICAL INDICATORS, 2022, 139
  • [28] Wetland Changes and Their Responses to Climate Change in the "Three-River Headwaters" Region of China since the 1990s
    Tong, Laga
    Xu, Xinliang
    Fu, Ying
    Li, Shuang
    ENERGIES, 2014, 7 (04): : 2515 - 2534
  • [29] Analyses on the Changes of Grazing Capacity in the Three-River Headwaters Region of China under Various Climate Change Scenarios
    Zhang, Rongrong
    Li, Zhaohua
    Yuan, Yongwei
    Li, Zhihui
    Yin, Fang
    ADVANCES IN METEOROLOGY, 2013, 2013
  • [30] Using SPOT VEGETATION for analyzing dynamic changes and influencing factors on vegetation restoration in the Three-River Headwaters Region in the last 20 years (2000-2019), China
    Sun, Lijian
    Zhao, Dan
    Zhang, Guozhuang
    Wu, Xiangjun
    Yang, Yi
    Wang, Zuwei
    ECOLOGICAL ENGINEERING, 2022, 183