Characterizing land condition variability in Northern China from 1982 to 2011
- 377 Downloads
For the last three decades, Northern China has been considered as one of the most sensitive areas regarding global environmental change. The integration of AVHRR GIMMS and MODIS NDVI data (1982–2011), of which for the overlapping period of 2000–2006 show good consistency, were used for characterizing land condition variability. The trends of standardized annually ΣNDVI, temperature, precipitation and PDSI were obtained using a linear regression model. The results showed that Northern China has a general increase in greenness for the period 1982–2011 (a = 0.05). Also, annually ΣNDVI is significantly correlated with temperature and precipitation data at the regional scale (p < 0.05), implying that temperature and precipitation are the dominant limiting factors for vegetation growth. Since the greening is not uniform, factors other than temperature and precipitation may contribute to greening in some areas, while the grassland and cropland ecosystem are becoming increasingly vulnerable to drought. The results of trend analysis indicate that greenness seems to be evident in most of the study areas.
KeywordsNDVI Land degradation Linear trend analysis Climate change
This paper was supported by Key Research Program of the Chinese Academy of Sciences (Grant No. KZZD-EW-14), National Natural Science Foundation of China (41071278 and 41171334), Ecological Innovation and Breeding Project (Y254021031, 355031061), USDA NIFA Project (2010-34263-21075). The authors thank GIMMS (the NASA Global Inventory Modeling and Mapping Studies) group and NASA/MODIS Land Discipline Group for sharing the GIMMS NDVI and MODIS LAND data. We would like to the comments from the anonymous reviewers, which helped to improve this manuscript.
- Dai A (2011) Characteristics and trends in various forms of the Palmer Drought Severity Index during 1900–2008. J Geophys Res (1984–2012) 116:D12115Google Scholar
- Fensholt R, Langanke T, Rasmussen K, Reenberg A, Prince SD, Tucker C, Scholes RJ, Le QB, Bondeau A, Eastman R, Epstein H, Gaughan AE, Hellden U, Mbow C, Olsson L, Paruelo J, Schweitzer C, Seaquist J, Wessels K (2012) Greenness in semi-arid areas across the globe 1981–2007—an Earth Observing Satellite based analysis of trends and drivers. Remote Sens Environ 121:144–158CrossRefGoogle Scholar
- Li YC, Gong P, Liu CX, Chen J, Yu DY (2006) Vegetation cover changes and correlation with climatic factors in Northern china during 1982–1999. Resour Sci 28(2):109–117Google Scholar
- Mohammat A, Wang X, Xu X, Peng L, Yang Y, Zhang X, Myneni RB, Piao S (2012) Drought and spring cooling induced recent decrease in vegetation growth in Inner Asia. Agr Forest Meteorol 178–179:21–30Google Scholar
- Mu SJ, Li JL, Chen YJ, Gang CC, Zhou W, Ju WM (2012) Spatial differences of variations of vegetation coverage in Inner Mongolia during 2001–2010. Acta Geogr Sin 69(9):1255–1268Google Scholar
- Solano R, Didan K, Jacobson A, Huete A (2010) MODIS vegetation indices (MOD13) C5 user’s guide. (Available at: http://vip.arizona.edu/MODIS_UsersGuide.php)
- State Forestry Administration (SFA) (2011) A bulletin of status quo of desertification and sandification in China, p 11Google Scholar
- UNCCD (1994) Elaboration of an international convention to combat desertification in countries experiencing serious drought and/or desertification, particularly in Africa. United Nations General Assembly, 93rd plenary meeting, New YorkGoogle Scholar
- Wang Q, Zhang B, Dai SP, Zou Y, Ma ZH, Zhang YN (2011) Dynamic changes in vegetation coverage in the three-north shelter forest program based on GIMMS AVHRR NDVI. Resour Sci 33(8):1613–1620Google Scholar
- Yin H, Li ZG, Wang YL, Cai F (2011) Assessment of desertification using time series analysis of hyper-temporal vegetation indicator in Inner Mongolia. Acta Geogr Sin 66(5):653–661Google Scholar
- Zhu W, Lv A, Jia S (2011) Spatial distribution of vegetation and the influencing factors in Qaidam Basin based on NDVI. JAL 3(2):85–93Google Scholar