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Trends and variation in vegetation greenness related to geographic controls in middle and eastern Inner Mongolia, China

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Abstract

Extensive studies have investigated the relationships between climate change and vegetation dynamics. However, the geographic controls on vegetation dynamics are rarely studied. In this study, the geographic controls on the trends and variation of vegetation greenness in middle and eastern Inner Mongolia, China (mid-eastern Inner Mongolia) were investigated. The SPOT VEGETATION 10-day period synthesis archive of normalized difference vegetation index (NDVI) from 1999 to 2007 was used for this study. First, the maximum value compositing (MVC) method was applied to derive monthly maximum NDVI (MNDVI), and then yearly mean NDVI (YMNDVI) was calculated by averaging the MNDVIs. The greenness rate of change (GRC) and the coefficient of variation (CV) were used to monitor the trends and variation in YMNDVI at each raster grid for different vegetation types, which were determined from a land use dataset at a scale of 1:100,000, interpreted from Landsat TM images in 2000. The possible effects of geographic factors including elevation, slope and aspect on GRC and CV for three main vegetation types (cropland, forest and steppe) were analyzed. The results indicate that the average NDVI values during the 9-year study period for steppe, forest and cropland were 0.26, 0.41 and 0.32, respectively; while the GRC was 0.008, 0.042 and 0.033 per decade, respectively; and CVs were 10.2, 4.8 and 7.1%, respectively. Cropland and steppe shared a similar trend in NDVI variation, with both decreasing initially and then increasing over the study period. The forest YMNDVI increased throughout the study period. The GRCs of the forest also increased, although GRCs for cropland and steppe decreased with increasing elevation. The GRCs of cropland and steppe increased with increasing slope, but the forest GRCs were not as closely related to slope. All three vegetation types exhibited the same effects in that the GRC was larger on north-facing (shady) slopes than south-facing slopes due to differences in water conditions. The CVs of the three vegetation types showed different features to the GRC. The CVs for all three vegetation types were not affected by aspect. The CVs for forest and cropland showed minor effects with changes in elevation and slope, but the CV for steppe decreased with increasing slope, and increased with increasing elevations to 1,200 m, before decreasing at higher elevations. Our findings suggest that the role of geographic factors in controlling GRC should also be considered alongside climate factors.

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Acknowledgments

This study was supported by the Knowledge Innovation Program of the Chinese Academy of Sciences (No. KSCX1-YW-09-01), the Open Project Program of Key Laboratory of Resources Remote Sensing and Digital Agriculture, Ministry of Agriculture (No. RDA0903), and the National Key Programme for Developing Basic Science (No. 2009CB421105). F. Tao acknowledges the support of the ‘Hundred Talents’ Program of the Chinese Academy of Sciences. We thank anonymous reviewers who provided very valuable comments and Dr. Shanzhong Qi for his suggestions.

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Authors and Affiliations

  1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China

    Jinwei Dong, Fulu Tao & Geli Zhang

  2. Graduate University of Chinese Academy of Sciences, Beijing, 100039, China

    Jinwei Dong & Geli Zhang

  3. Key Laboratory of Resources Remote Sensing and Digital Agriculture, Ministry of Agriculture, Beijing, 100081, China

    Jinwei Dong

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  1. Jinwei Dong
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  2. Fulu Tao
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Correspondence to Fulu Tao.

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Dong, J., Tao, F. & Zhang, G. Trends and variation in vegetation greenness related to geographic controls in middle and eastern Inner Mongolia, China. Environ Earth Sci 62, 245–256 (2011). https://doi.org/10.1007/s12665-010-0518-2

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