Dynamics of Fractional Vegetation Coverage and Its Relationship with Climate and Human Activities in Inner Mongolia, China

Long-term remote sensing normalized difference vegetation index (NDVI) datasets have been widely used in monitoring vegetation changes. In this study, the NASA Global Inventory Modeling and Mapping Studies (GIMMS) NDVI3g dataset was used as the data source, and the dimidiate pixel model, intensity analysis, and residual analysis were used to analyze the changes of vegetation coverage in Inner Mongolia—from 1982 to 2010—and their relationships with climate and human activities. This study also explored vegetation changes in Inner Mongolia with respect to natural factors and human activities. The results showed that the estimated vegetation coverage exhibited a high correlation (0.836) with the actual measured values. The increased vegetation coverage area (49.2% of the total area) was larger than the decreased area (43.3%) from the 1980s to the 1990s, whereas the decreased area (57.1%) was larger than the increased area (35.6%) from the 1990s to the early 21st century. This finding indicates that vegetation growth in the 1990s was better than that in the other two decades. Intensity analysis revealed that changes in the average annual rate from the 1990s to the early 21st century were relatively faster than those in the 1980s–1990s. During the 1980s–1990s, the gain of high vegetation coverage areas was active, and the loss was dormant; in contrast, the gain and loss of low vegetation coverage areas were both dormant. In the 1990s to the early 21st century, the gains of high and low vegetation coverage areas were both dormant, whereas the losses were active. During the study period, areas of low vegetation coverage were converted into ones with higher coverage, and areas of high vegetation coverage were converted into ones with lower coverage. The vegetation coverage exhibited a good correlation (R2 = 0.60) with precipitation, and the positively correlated area was larger than the negatively correlated area. Human activities not only promote the vegetation coverage, but also have a destructive effect on vegetation, and the promotion effect during 1982 to 2000 was larger than from 2001 to 2010, while, the destructive effect was larger from 2000 to 2010.

[1]  Xiaoduo Pan,et al.  Numerical simulations of fractional vegetation coverage influences on the convective environment over the source region of the Yellow River , 2013, Meteorology and Atmospheric Physics.

[2]  Jason Lowe,et al.  Committed terrestrial ecosystem changes due to climate change , 2009 .

[3]  Bingfang Wu,et al.  Identification of priority areas for controlling soil erosion , 2010 .

[4]  A. Gitelson,et al.  Novel algorithms for remote estimation of vegetation fraction , 2002 .

[5]  Xiangtao Fan,et al.  The variability of NDVI over northwest China and its relation to temperature and precipitation , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[6]  C. Tucker,et al.  Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999 , 2001 .

[7]  Ranga B. Myneni,et al.  Response of vegetation activity dynamic to climatic change and ecological restoration programs in Inner Mongolia from 2000 to 2012 , 2015 .

[8]  Ma Mingguo,et al.  Reconstruction of Temporal NDVI Dataset:Evaluation and Case Study , 2010 .

[9]  Wang Heng,et al.  Spatial and Temporal Variations of Vegetation Belts and Vegetation Cover Degrees in Inner Mongolia from 1982 to 2003 , 2009 .

[10]  Will Steffen,et al.  Global Change and the Earth System , 2008 .

[11]  Kou Zhenwu Ecological environment and its sustainable management of Horqin steppe—A report on the survey of Horqin sandy land. , 2004 .

[12]  Huili Gong,et al.  Correlation Analysis on Interferometric Coherence Degree and Probability of Residue Occurrence in Interferogram , 2014, IEEE Sensors Journal.

[13]  Eric F. Lambin,et al.  The Influence of Land Use Change on Climate in the Sahel , 2002 .

[14]  M. S. Moran,et al.  Spatial and temporal dynamics of vegetation in the San Pedro River basin area , 2000 .

[15]  Jianguo Wu,et al.  Ecosystem stability and compensatory effects in the Inner Mongolia grassland , 2004, Nature.

[16]  R. Pontius,et al.  Use of intensity analysis to link patterns with processes of land change from 1986 to 2007 in a coastal watershed of southeast China , 2012 .

[17]  Hui Qing Liu,et al.  An error and sensitivity analysis of the atmospheric- and soil-correcting variants of the NDVI for the MODIS-EOS , 1994, IEEE Trans. Geosci. Remote. Sens..

[18]  W. Ju,et al.  Spatial Differences of Variations of Vegetation Coverage in Inner Mongolia during 2001-2010 , 2012 .

[19]  Zhou Wei-feng,et al.  Estimation of Vegetation Fraction in the Upper Basin of Miyun Reservoir by Remote Sensing , 2004 .

[20]  R. Pontius,et al.  Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition , 2012 .

[21]  Zhongjie Shi,et al.  Effect of vegetation on changes of temperature and precipitation in Inner Mongolia,China , 2011 .

[22]  Lei Ji,et al.  Application-Ready Expedited MODIS Data for Operational Land Surface Monitoring of Vegetation Condition , 2015, Remote. Sens..

[23]  Wang Mei-hong,et al.  Study on Relation and Distribution Between Vegetative Coverage and Land Degradation in Inner Mongolia , 2008 .

[24]  Yuan Wen-ping Measuring coverage of grassland vegetation using remote sensing over short distances , 2007 .

[25]  Jianhui Huang,et al.  Distinguishing between human-induced and climate-driven vegetation changes: a critical application of RESTREND in inner Mongolia , 2012, Landscape Ecology.

[26]  Jiongxin Xu,et al.  Spatiotemporal variations of vegetation cover on the Chinese Loess Plateau (1981–2006): Impacts of climate changes and human activities , 2008 .

[27]  Wang Ping,et al.  Method of Estimating Vegetation Coverage Based on Remote Sensing , 2012 .

[28]  Jia Kun,et al.  Estimation of Farmland Evapotranspiration: A Review of Methods Using Thermal Infrared Remote Sensing Data , 2012 .

[29]  Hao Wu,et al.  Evaluation of Spatiotemporal Variations of Global Fractional Vegetation Cover Based on GIMMS NDVI Data from 1982 to 2011 , 2014, Remote. Sens..

[30]  Stephen D. Prince,et al.  Spectral modelling of multicomponent landscapes in the Sahel , 1991 .

[31]  Li Xiaobing Chen Yunhao Zhang YunXia OVERVIEW OF FIELD AND MULTI-SCALE REMOTE SENSING MEASUREMENT APPROACHES TO GRASSLAND VEGETATION COVERAGE , 2003 .

[32]  Edwin W. Pak,et al.  An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data , 2005 .

[33]  Y. H. Kerr,et al.  Monitoring vegetation cover across semi-arid regions: Comparison of remote observations from various scales , 2000 .

[34]  QU Le-an Vegetation Coverage in Upper Huaihe River Basin Based on Binary Pixel Model of Remote Sensing , 2012 .