Literature DB >> 31388953

Spatiotemporal variation and influencing factors of vegetation cover in the ecologically fragile areas of China from 2000 to 2015: a case study in Shaanxi Province.

Dingrao Feng1, Jinman Wang2,3, Meichen Fu1, Guangchao Liu1,4, Min Zhang1, Rongbin Tang1.   

Abstract

China's Loess Plateau region has a weak ecological environment, and the government has invested a considerable amount of money to repair the ecological environment. Vegetation plays an important role in the ecological environment. The Sen slope analysis and the Mann-Kendall trend test were used to analyze the trend and significance of vegetation coverage from 2000 to 2015. The vegetation coverage was analyzed to investigate the influence of land use types and conversion. The Pearson Correlation Test and qualitative analysis were utilized at the pixel and regional scales to investigate the influence of meteorological factors and topographical factors. The fluctuation of vegetation in Shaanxi was analyzed from 2000 to 2015. The impact of anthropogenic activities was investigated using residual trend analysis. Hurst exponent and H/S analysis were applied to investigate the potential future vegetation coverage trend. The vegetation coverage in Shaanxi Province improved from 2000 to 2015. In unchanged land use types, all types showed significant improvements expect for other construction land. In changed land use types, most of the land use types converted into urban land showed degradation. All the land use types converted into dry land, forest, and unused land showed improvements. Ecological protection has achieved great results. Precipitation and temperature partly affect vegetation coverage in Shaanxi. Gradients and elevation affected the distribution of vegetation coverage and human activities influenced land use type and the ecological environment. In the future, potential degradation risks still exist in the parts of Shaanxi Province.

Entities:  

Keywords:  Hurst index; Land use type; Residual trends analysis; Spatiotemporal analysis; Vegetation coverage

Mesh:

Year:  2019        PMID: 31388953     DOI: 10.1007/s11356-019-06096-9

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  13 in total

1.  Analysis of the changes of vegetation coverage of western Beijing mountainous areas using remote sensing and GIS.

Authors:  Liangyun Liu; Xia Jing; Jihua Wang; Chunjiang Zhao
Journal:  Environ Monit Assess       Date:  2008-05-31       Impact factor: 2.513

2.  Actual ET modelling based on the Budyko framework and the sustainability of vegetation water use in the loess plateau.

Authors:  Xuerui Gao; Miao Sun; Qi Zhao; Pute Wu; Xining Zhao; Wenxiang Pan; Yubao Wang
Journal:  Sci Total Environ       Date:  2016-12-01       Impact factor: 7.963

3.  NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015.

Authors:  Hongshuai Chu; Sergey Venevsky; Chao Wu; Menghui Wang
Journal:  Sci Total Environ       Date:  2018-09-10       Impact factor: 7.963

4.  Spatial gradient and quantitative attribution of karst soil erosion in Southwest China.

Authors:  Jiangbo Gao; Huan Wang; Liyuan Zuo
Journal:  Environ Monit Assess       Date:  2018-11-19       Impact factor: 2.513

5.  Impacts of climate change and human activities on grassland vegetation variation in the Chinese Loess Plateau.

Authors:  Kai Zheng; Jian-Zhou Wei; Jiu-Ying Pei; Hua Cheng; Xu-Long Zhang; Fu-Qiang Huang; Feng-Min Li; Jian-Sheng Ye
Journal:  Sci Total Environ       Date:  2019-01-04       Impact factor: 7.963

6.  [Spatial-temporal distribution of vegetation net primary productivity and its driving factors from 2000 to 2015 in Shaanxi, China.]

Authors:  Zhao Wang; Deng Ke Li
Journal:  Ying Yong Sheng Tai Xue Bao       Date:  2018-06

7.  Spatiotemporal drought variability on the Mongolian Plateau from 1980-2014 based on the SPEI-PM, intensity analysis and Hurst exponent.

Authors:  Siqin Tong; Quan Lai; Jiquan Zhang; Yuhai Bao; A Lusi; Qiyun Ma; Xiangqian Li; Feng Zhang
Journal:  Sci Total Environ       Date:  2017-09-18       Impact factor: 7.963

8.  Long-term and inter-monthly dynamics of aquatic vegetation and its relation with environmental factors in Taihu Lake, China.

Authors:  Shuangshuang Wang; Yongnian Gao; Qin Li; Junfeng Gao; Shuhua Zhai; Ya Zhou; Yuanhua Cheng
Journal:  Sci Total Environ       Date:  2018-09-18       Impact factor: 7.963

9.  China and India lead in greening of the world through land-use management.

Authors:  Chi Chen; Taejin Park; Xuhui Wang; Shilong Piao; Baodong Xu; Rajiv K Chaturvedi; Richard Fuchs; Victor Brovkin; Philippe Ciais; Rasmus Fensholt; Hans Tømmervik; Govindasamy Bala; Zaichun Zhu; Ramakrishna R Nemani; Ranga B Myneni
Journal:  Nat Sustain       Date:  2019-02-11

10.  Changes in Remotely Sensed Vegetation Growth Trend in the Heihe Basin of Arid Northwestern China.

Authors:  Wenchao Sun; Hao Song; Xiaolei Yao; Hiroshi Ishidaira; Zongxue Xu
Journal:  PLoS One       Date:  2015-08-18       Impact factor: 3.240

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