1 College of Forestry, Gansu Agricultural University, Lanzhou 730070, China 2 Chinese Academy of Forestry, Beijing 100091, China 3 University of Chinese Academy of Sciences, Beijing 100049, China 4 College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
Launched in 2002, the Beiing-Tianjin Sand Source Control Project (BTSSCP) is an ecological restoration project intended to prevent desertification in China. Evidence from multiple sources has confirmed increases in vegetation growth in the BTSSCP region since the initiation of this project. Precipitation and essential climate variable-soil moisture (ECV-SM) conditions are typically considered to be the main drivers of vegetation growth in this region. Although many studies have investigated the inter-annual variations of vegetation growth, few concerns have been focused on the annual and seasonal variations of vegetation growth and their climatic drivers, which are crucial for understanding the relationships among the climate, vegetation, and human activities at the regional scale. Based on the normalized difference vegetation index (NDVI) derived from MODIS and the corresponding climatic data, we explored the responses of vegetation growth to climatic factors at annual and seasonal scales in the BTSSCP region during the period 2000-2014. Over the study region as a whole, NDVI generally increased from 2000 to 2014, at a rate of 0.002/a. Vegetation growth is stimulated mainly by the elevated temperature in spring, whereas precipitation is the leading driver of summer greening. In autumn, positive effects of both temperature and precipitation on vegetation growth were observed. The warming in spring promotes vegetation growth but reduces ECV-SM. Summer greening has a strong cooling effect on land surface temperature. These results indicate that the ecological and environmental consequences of ecological restoration projects should be comprehensively evaluated.
Bao A Y, Bao G, Guo L, et al.2009. Evaluation on vegetation net primary productivity using MODIS data in Inner Mongolia. Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 749006. [2009-07-10]. International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), Zhangjiajie, China.
[2]
Batra N, Islam S, Venturini V, et al.2006. Estimation and comparison of evapotranspiration from MODIS and AVHRR sensors for clear sky days over the Southern Great Plains. Remote Sensing of Environment, 103(1): 1-15.
[3]
Beguería S, Vicenteserrano S M, Angulomartínez M.2010. A multiscalar global drought dataset: the SPEIbase: a new gridded product for the analysis of drought variability and impacts. Bulletin of the American Meteorological Society, 91(10): 1351-1356.
[4]
Beguería S, Vicenteserrano S M, Reig F, et al.2014. Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. International Journal of Climatology, 34(10): 3001-3023.
[5]
Cao S X.2011. Impact of China's large-scale ecological restoration program on the environment and society in arid and semiarid areas of China: achievements, problems, synthesis, and applications. Critical Reviews in Environmental Science and Technology, 41(4): 317-335.
[6]
Cao S X, Chen L, Shankman D, et al.2011. Excessive reliance on afforestation in China's arid and semi-arid regions: Lessons in ecological restoration. Earth-Science Reviews, 104(4): 240-245.
[7]
Dorigo W, de Jeu R, Chung D, et al.2012. Evaluating global trends (1988-2010) in harmonized multi-satellite surface soil moisture. Geophysical Research Letter, 39(18): 18405.
[8]
Feng X M, Fu B J, Piao S L, et al.2016. Revegetation in China's Loess Plateau is approaching sustainable water resource limits. Nature Climate Change, 6(11): 1019-1022.
[9]
Forzieri G, Alkama R, Miralles D G, et al.2017. Satellites reveal contrasting responses of regional climate to the widespread greening of Earth. Science, 356(6343): 1180-1184.
[10]
Ge Q S, Wang H J, Rutishauser T, et al.2015. Phenological response to climate change in China: a meta-analysis. Global Change Biology, 21(1): 265-274.
[11]
Gong Z, Kawamura K, Ishikawa N, et al.2015. MODIS normalized difference vegetation index (NDVI) and vegetation phenology dynamics in the Inner Mongolia grassland. Solid Earth, 6(3): 1185-1194.
[12]
He B, Chen A F, Jiang W G, et al.2017. The response of vegetation growth to shifts in trend of temperature in China. Journal of Geographical Sciences, 27(7): 801-816.
[13]
Hu Y L, Zeng D H, Fan Z P, et al.2008. Changes in ecosystem carbon stocks following grassland afforestation of semiarid sandy soil in the southeastern Keerqin Sandy Lands, China. Journal of Arid Environments, 72(12): 2193-2200.
[14]
Hutchinson M F.1995. Interpolating mean rainfall using thin plate smoothing splines. International Journal of Geographical Information Systems, 9(4): 385-403.
[15]
Jiang B, Liang S L, Yuan W P.2015. Observational evidence for impacts of vegetation change on local surface climate over northern China using the Granger causality test. Journal of Geophysical Research Biogeosciences, 120(1): 1-12.
[16]
Li X S, Wang H Y, Wang J Y, et al.2015. Land degradation dynamic in the first decade of twenty-first century in the Beijing-Tianjin dust and sandstorm source region. Environmental Earth Sciences, 74(5): 4317-4325.
[17]
Li Y, Zhao M S, Motesharrei S, et al.2015. Local cooling and warming effects of forests based on satellite observations. Nature Communications, 6: 6603.
[18]
Liu J H, Wu J J, Wu Z T, et al.2013. Response of NDVI dynamics to precipitation in the Beijing-Tianjin sandstorm source region. International Journal of Remote Sensing, 34(15): 5331-5350.
[19]
Liu J Y, Kuang W H, Zhang Z X, et al.2014. Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s. Journal of Geographical Sciences, 24(2): 195-210.
[20]
Liu X P, Zhang W J, Cao J S, et al.2013. Carbon storages in plantation ecosystems in sand source areas of north Beijing, China. PloS ONE, 8(12): e82208.
[21]
Liu X R, Dong Y S, Ren J Q, et al.2010. Drivers of soil net nitrogen mineralization in the temperate grasslands in Inner Mongolia, China. Nutrient Cycling in Agroecosystems, 87(1): 59-69.
[22]
Liu Y Y, Parinussa R M, Dorigo W A, et al.2011. Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15(2): 425-436.
[23]
Ma T, Zhou C H.2012. Climate-associated changes in spring plant phenology in China. International Journal of Biometeorology, 56(2): 269-275.
[24]
Miao L J, Luan Y B, Luo X Z, et al.2013. Analysis of the phenology in the Mongolian Plateau by inter-comparison of global vegetation datasets. Remote Sensing, 5(10): 5193-5208.
[25]
Mitchell J M, Dzerdzeevskü B, Flohn H, et al.1966. Climatic change. WMO Technical Note 79 (WMO-No. 195/TP. 100). Geneva: World Meteorological Organization.
[26]
Mohammat A, Wang X H, Xu X T, et al.2013. Drought and spring cooling induced recent decrease in vegetation growth in Inner Asia. Agricultural and Forest Meteorology, 178-179: 21-30.
[27]
Mu Q Z, Zhao M S, Running S W.2011. Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sensing of Environment, 115(8): 1781-1800.
[28]
Peng S S, Chen A P, Xu L, et al.2011. Recent change of vegetation growth trend in China. Environmental Research Letters, 6(4): 044027.
[29]
Peng S S, Piao S L, Zeng Z Z, et al.2014. Afforestation in China cools local land surface temperature. Proceedings of the National Academy of Sciences of the United States of America, 111(8): 2915-2919.
[30]
Qin Y B, Xin Z B, Yi Y, et al.2012. Spatiotemporal variation of sandstorm and its response to vegetation restoration in Beijing-Tianjin sandstorm source area. Transactions of the Chinese Society of Agricultural Engineering, 28: 196-204. (in Chinese)
[31]
Rishmawi K, Prince S D, Xue Y K.2016. Vegetation responses to climate variability in the northern arid to sub-humid zones of sub-Saharan Africa. Remote Sensing, 8(11): 910, doi: 10.3390/rs8110910.
[32]
Shan N, Shi Z J, Yang X H, et al.2015. Spatiotemporal trends of reference evapotranspiration and its driving factors in the Beijing-Tianjin Sand Source Control Project Region, China. Agricultural and Forest Meteorology, 200(15): 322-333.
[33]
Shen M G, Piao S L, Jeong S J, et al.2015. Evaporative cooling over the Tibetan Plateau induced by vegetation growth. Proceedings of the National Academy of Sciences of the United States of America, 112(30): 9299-9304.
[34]
Swenson S, Wahr J.2006. Post-processing removal of correlated errors in GRACE data. Geophysical Research Letters, 33(8): L08402.
[35]
Tang Q H, Zhang X J, Tang Y.2013. Anthropogenic impacts on mass change in North China. Geophysical Research Letters, 40(15): 3924-3928.
[36]
Tian H J, Cao C X, Chen W, et al.2015. Response of vegetation activity dynamic to climatic change and ecological restoration programs in Inner Mongolia from 2000 to 2012. Ecological Engineering, 82(4): 276-289.
[37]
Velpuri N M, Senay G B, Singh R K, et al.2013. A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: Using point and gridded FLUXNET and water balance ET. Remote Sensing of Environment, 139(4): 35-49.
[38]
Vicenteserrano S M, Beguería S, Lópezmoreno J I.2010. A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. Journal of Climate, 23(7): 1696-1718.
[39]
Wolf S, Keenan T F, Fisher J B, et al.2016. Warm spring reduced carbon cycle impact of the 2012 US summer drought. Proceedings of the National Academy of Science of the United States of America, 113(21): 5880-5885.
[40]
Wu J J, Zhao L, Zheng Y T, et al.2012. Regional differences in the relationship between climatic factors, vegetation, land surface conditions, and dust weather in China's Beijing-Tianjin Sand Source Region. Natural Hazards, 62(1): 31-44.
[41]
Wu Z T, Wu J J, Liu J H, et al.2013. Increasing terrestrial vegetation activity of ecological restoration program in the Beijing-Tianjin Sand Source Region of China. Ecological Engineering, 52(52): 37-50.
[42]
Wu Z T, Wu J J, He B, et al.2014. Drought offset ecological restoration program-induced increase in vegetation activity in the Beijing-Tianjin Sand Source Region, China. Environmental Science & Technology, 48(20): 12108-12117.
[43]
Xu L, Myneni R B, Iii F S C, et al.2013. Temperature and vegetation seasonality diminishment over northern lands. Nature Climate Change, 3(6): 581-586.
[44]
Yang Y T, Long D, Guan H D, et al.2015. GRACE satellite observed hydrological controls on interannual and seasonal variability in surface greenness over mainland Australia. Journal of Geophysical Research Biogeosciences, 119(12): 2245-2260.
[45]
Yu F F, Price K P, Ellis J, et al.2003. Response of seasonal vegetation development to climatic variations in eastern central Asia. Remote Sensing of Environment, 87(1): 42-54.
[46]
Zeng X H, Zhang W J, Cao J S, et al.2014. Changes in soil organic carbon, nitrogen, phosphorus, and bulk density after afforestation of the "Beijing-Tianjin Sandstorm Source Control" program in China. Catena, 118: 186-194.
[47]
Zhang G L, Dong J W, Xiao X M, et al.2012. Effectiveness of ecological restoration projects in Horqin Sandy Land, China based on SPOT-VGT NDVI data. Ecological Engineering, 38(1): 20-29.
2018, Vol. 10 
), Xiang YU2, Lingxiao SUN3, Bin HE4, Haiyan WANG4, Tingting XIE1
