Abstract
Global vegetation has been reported to be turning greener, especially in China and India. The Yellow River Basin is one of the most prominent greening areas in China. While some studies have attributed vegetation greening to large-scale ecological restoration efforts, our study focuses on the role of climate change in vegetation greening. We selected a time series of annual vegetation net primary productivity (NPP) and vegetation coverage from satellite data to quantify the vegetation greening trend. Annual temperature and precipitation were selected to examine the climate trend from 2000 to 2019. The results showed that the Yellow River Basin experienced a rapid increase in temperature and precipitation during this period. Annual temperature increased with an average speed of 0.905 °C per decade, approximately 4.5 times larger than that of global warming. Annual precipitation increased by 82.8%, with an average speed of 9.17 mm per year. There was widespread vegetation greening in the Yellow River Basin during 2000–2019. This was demonstrated by an increase in vegetation NPP and vegetation coverage in the Yellow River Basin. The increase of annual NPP and coverage from 2000 to 1019 was 26.6% and 30.8%, respectively. Even while considering the effects of conservation and restoration efforts, the rapid increases in temperature and precipitation allowed vegetation to flourish, as evidenced by significant positive correlations between climate variables and vegetation variables. Therefore, climate change played an important positive role in vegetation greening, rather than an undesirable disturbance.





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Chen, C., Park, T., Wang, X. H., Piao, S. L., Xu, B. D., Chaturvedi, R. K., Fuchs, R., Brovkin, V., Ciais, P., Fensholt, R., Tømmervik, H., Bala, G., Zhu, Z. C., Nemani, R. R., & Myneni, R. B. (2019). China and India lead in greening of the world through land-use management. Nature Sustainability, 2, 122–129.
Chen, Z. F., Wang, W. G., & Fu, J. Y. (2020). Vegetation response to precipitation anomalies under different climatic and biogeographical conditions in China. Scientific Reports, 10, 830.
Fensholt, R., Langanke, T., Rasmussen, K., Reenberg, A., Prince, S. T., Tucker, C., Scholes, R. J., Le, Q. B., Bondeau, A., Eastman, R., Epstein, H., Gaughan, A. E., 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 Sensing of Environment, 121, 144–158.
Gong, Z.N., Zhao, S.Y., & Gu, J.Z. (2017). Correlation analysis between vegetation coverage and climate drought conditions in North China during 2001-2013. Journal of Geographical Sciences, 27, 143–160.
IPCC (2018) Summary for Policymakers. In: Global Warming of 1.5°C.
Ji, Y. H., Zhou, G. S., Luo, T. X., Dan, Y., Zhou, L., & Lv, X. M. (2020). Variation of net primary productivity and its drivers in China’s forests during 2000–2018. Forest Ecosystems, 7, 15.
Jiang, C., Zhang, H. Y., Tang, Z. P., & Labzovskii, L. (2017). Evaluating the coupling effects of climate variability and vegetation restoration on ecosystems of the Loess Plateau, China. Land Use Policy, 69, 134–148.
Jin, Z., Liang, W., Yang, Y. T., Zhang, W. B., Yan, J. W., Chen, X. J., Li, S., & Mo, X. G. (2017). Separating vegetation greening and climate change controls on evapotranspiration trend over the Loess Plateau. Scientific Reports, 7, 8191.
Lamchin, M., Lee, W. K., Jeon, S. W., Wang, S. W., Lim, C. H., Song, C., & Sung, M. (2018). Long-term trend and correlation between vegetation greenness and climate variables in Asia based on satellite data. Science of the Total Environment, 618, 1089–1095.
Liu, Q., Yan, C. R., & He, W. Q. (2016). Drought variation and its sensitivity coefficients to climatic factors in the Yellow River Basin. Chinese Journal of Agrometeorology, 37(6), 623–632.
Lucht, W., Prentice, C., Myneni, R. B., Sitch, S., Friedlingstein, P., Cramer, W., Bousquet, P., Buermann, W., & Smith, B. (2002). Climatic control of the high-latitude vegetation greening trend and Pinatubo effect. Science, 296, 1687–1689.
Lv, Y. H., Zhang, L. W., Feng, X. M., Zeng, Y., Fu, B. J., Yao, X. L., Li, J. R., & Wu, B. F. (2015). Recent ecological transitions in China: Greening, browning, and influential factors. Scientific Reports, 5, 8732.
Ma, S. C., Bao, G. Y., Guo, G., Yang, L., Dai, Q. C., & Zheng, L. (2018). Change trend of vegetation and its responses to climate change in the source region of the Yellow River. Journal of Arid Meteorology, 36(2), 226–233.
Macias-Fauria, M. (2018). Satellite images show China going green. Nature, 553, 411–413.
Nemani, R. R., Keeling, C. D., Hashimoto, H., Jolly, W. M., Piper, S. C., Tucker, C. J., Myneni, R. B., & Running, S. W. (2003). Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science, 300, 1560–1563.
Pan, P., Zhu, Y. L., & Wang, J. J. (2014). Spatial-temporal variations of temperature and the cause analyese in the Yellow River valley during recent 50 years. Climatic and Environmental Research, 19(4), 477–485.
Piao, S. L., Yin, G. D., Tan, J. G., Cheng, L., Huang, M. T., Li, Y., Liu, R. G., Mao, J. F., Myneni, R., Peng, S. S., Poulter, B., Shi, X. Y., Xiao, Z. Q., Zeng, N., Zeng, Z. Z., & Wang, Y. P. (2015). Detection and attribution of vegetation greening trend in China over the last 30 years. Global Change Biology, 21, 1601–1609.
Qian, C., Shao, L. Q., Hou, X. H., Zhang, B. B., Chen, W., & Xia, X. L. (2019). Detection and attribution of vegetation greening trend across distinct local landscapes under China’s grain to green program: A case study in Shaanxi Province. Catena, 183, 104182.
Qiu, B. W., Chen, G., Tang, Z. H., Lu, D. F., Wang, Z. Z., & Chen, C. C. (2017). Assessing the three-north shelter forest program in China by a novel framework for characterizing vegetation changes. ISPRS Journal of Photogrammetry and Remote Sensing, 133, 75–88.
Sun, R., Liu, C. M., & Zhu, Q. J. (2002). Dynamic change of net primary productivity and fractional vegetation cover in the Yellow River Basin using multi-temporal AVHRR NDVI data. Journal of Geographical Sciences, 12, 29–34.
Sun, W. Y., Song, X. Y., Mu, X. M., Gao, P., Wang, F., & Zhao, G. J. (2015). Spatiotemporal vegetation cover variations associated with climate change and ecological restoration in the Loess Plateau. Agricultural and Forest Meteorology, 209, 87–99.
Sun, Z. Y., Wang, X. F., Zhang, X. R., Tani, H., Guo, E. L., Yin, S., & Zhang, T. Y. (2019). Evaluating and comparing remote sensing terrestrial GPP models for their response to climate variability and CO2 trends. Science of the Total Environment, 668, 696–713.
Tian, H., Lan, Y. C., Wen, J., Jin, H. J., Wang, C. H., Wang, X., & Kang, Y. (2015). Evidence for a recent warming and wetting in the source area of the Yellow River (SAYR) and its hydrological impacts. Journal of Geographical Sciences, 25(6), 643–668.
Tian, Z. H., Zhang, D. D., He, X. H., Guo, H. L., & Wei, H. T. (2019). Spatiotemporal variations in vegetation net primary productivity and their driving factors in Yellow River Basin from 2000 to 2015. Research of Soil and Water Conservation, 26(2), 255–262.
Wang, F., Pan, X. B., Gerlein-Safdi, C., Cao, X. M., Wang, S., Gu, L. H., Wang, D. F. & Lu, Q. (2019). Vegetation restoration in northern China: A contrasted picture. Land Degradation & Development, 1–8.
Xu, B., Yang, X.C., Tao, W.G., Qin, Z.H., Liu, H.Q. & Miao, J.M. (2007). Remote sensing monitoring upon the grass production in China. Acta Ecologica Sinica 27, 405–413.
Yuan, Q. Z., Wu, S. H., Dai, E. F., Zhao, D. S., Ren, P., & Zhang, X. R. (2017). NPP vulnerability of the potential vegetation of China to climate change in the past and future. Journal of Geographical Sciences, 27(2), 131–142.
Zhang, Y., Peng, C. H., Li, W. Z., Tian, L. X., Zhu, Q., Chen, H., Fang, X. Q., Zhang, G. L., Liu, G. B., Mu, X. M., Li, Z. B., Li, S. Q., Yang, Y. Z., Wang, J., & Xiao, X. M. (2016). Multiple afforestation programs accelerate the greenness in the ‘three north’ region of China from 1982 to 2013. Ecological Indicators, 61, 404–412.
Zhang, W., Wang, L. C., Xiang, F. F., Qin, W. M., & Jiang, W. X. (2020). Vegetation dynamics and the relations with climate change at multiple time scales in the Yangtze River and Yellow River Basin, China. Ecological Indicators, 110, 105892.
Funding
We acknowledge the research support of the National Natural Science Foundation of China (Grant No. 41571175, 41877539, 31661143028) and the Key projects of the Ministry of Science and Technology (2018YFA0606103).
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Ji, Y., Zhou, G., Wang, S. et al. Prominent vegetation greening and its correlation with climatic variables in northern China. Environ Monit Assess 192, 636 (2020). https://doi.org/10.1007/s10661-020-08593-8
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DOI: https://doi.org/10.1007/s10661-020-08593-8