Abstract
Vegetation change is of significant concern because it plays a crucial role in the global carbon cycle and climate. Many studies have examined recent changes in vegetation growth and the associated drivers. These drivers include both natural and human activities, but few studies have identified the regulation factors. By employing normalized difference vegetation index (NDVI) data, we analyzed the spatiotemporal pattern of vegetation change in China and then explored the driving factors. It was found that the overall greening of China has improved significantly, especially in the Loess Plateau and southwest China. The Yangtze River Delta and Bohai Rim, however, have not seen as much growth. Natural conditions are conducive to vegetation growth. Although socioeconomic development will be more beneficial for vegetation restoration, the current level and speed of development have a negative effect on vegetation. The regulation factors are considered separately since they affect both directly and indirectly. Regulation factors have accelerated vegetation growth. By understanding the factors affecting the current vegetation growth, we can provide a guide for future vegetation recovery in China and other similar countries.
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References
Afuye G A, Kalumba A, Orimoloye I R, 2021. Characterisation of vegetation response to climate change: A review. Sustainability, 13(13): 7265.
Arneth A, Sitch S, Pongratz J et al., 2017. Historical carbon dioxide emissions caused by land-use changes are possibly larger than assumed. Nature Geoscience, 10(2): 79–84.
Beerling D J, 2010. Long-term responses of boreal vegetation to global change: an experimental and modelling investigation. Global Change Biology, 5(1): 55–74.
Brandt M, Rasmussen K, Penuelas J et al., 2017. Human population growth offsets climate-driven increase in woody vegetation in sub-Saharan Africa. Nature Ecology and Evolution, 1(4): 234–237.
Bryan B A, Gao L, Ye Y Q et al., 2018. China’s response to a national land-system sustainability emergency. Nature, 559(7713): 193–214.
Cao S X, Ma H, Yuan W P et al., 2014. Interaction of ecological and social factors affects vegetation recovery in China. Biological Conservation, 180: 270–277.
Chen B X, Zhang X Z, Tao J et al., 2014. The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau. Agricultural and Forest Meteorology, 189: 11–18.
Chen C, Park T, Wang X H et al., 2019. China and India lead in greening of the world through land-use management. Nature Sustainability, 2(2): 122–129.
Dai Z G, 2010. Intensive agropastoralism: dryland degradation, the Grain-to-Green Program and islands of sustainability in the Mu Us Sandy Land of China. Agriculture Ecosystems and Environment, 138(3/4): 249–256.
DeFries R, Pandey D, 2010. Urbanization, the energy ladder and forest transitions in India’s emerging economy. Land Use Policy, 27(2): 130–138.
Dietrich J P, Schmitz C, Muller C et al., 2012. Measuring agricultural land-use intensity: A global analysis using a model-assisted approach. Ecological Modelling, 232: 109–118.
Elmendorf S C, Henry G H R, Hollister R D et al., 2012. Global assessment of experimental climate warming on tundra vegetation: Heterogeneity over space and time. Ecology Letter, 15(2): 164–175.
Fabricante I, Oesterheld M, Paruelo J M, 2009. Annual and seasonal variation of NDVI explained by current and previous precipitation across Northern Patagonia. Journal of Arid Environments, 73(8): 745–753.
Fatichi S, Pappas C, Zscheischler J et al., 2019. Modelling carbon sources and sinks in terrestrial vegetation. New Phytologist, 221(2): 652–668.
Feng D R, Fu M C, Sun Y Y et al., 2021. How large-scale anthropogenic activities influence vegetation cover change in China? A review. Forests, 12(3): 320.
Fu B J, Wang S, Liu Y et al., 2017. Hydrogeomorphic ecosystem responses to natural and anthropogenic changes in the Loess Plateau of China. Annual Review of Earth and Planetary Science, 45: 223–243.
Gu Y F, Wu Y F, Liu J G et al., 2020. Ecological civilization and government administrative system reform in China. Resources Conservation and Recycling, 155: 104654.
Guo B B, Zhang J, Meng X Y et al., 2020. Long-term spatio-temporal precipitation variations in China with precipitation surface interpolated by ANUSPLIN. Scientific Reports, 10(1): 1–17.
Haag S, Tarboton D, Smith M et al., 2020. Fast summarizing algorithm for polygonal statistics over a regular grid. Computers and Geosciences, 142: 104524.
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.
Hmimina G, Dufrene E, Pontailler J Y et al., 2013. Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements. Remote Sensing of Environment, 132: 145–158.
Huang X, Huang X J, Liu M M et al., 2020. Spatial-temporal dynamics and driving forces of land development intensity in the western China from 2000 to 2015. Chinese Geographical Science, 30(1): 16–29.
Jiang L L, Jiapaer G, Bao A M et al., 2017. Vegetation dynamics and responses to climate change and human activities in Central Asia. Science of the Total Environment, 599: 967–980.
Keenan T F, Prentice I C, Canadell J G et al., 2016. Recent pause in the growth rate of atmospheric CO2 due to enhanced terrestrial carbon uptake. Nature Communication, 7: 13728.
Li D L, Wu S Y, Liang Z et al., 2020. The impacts of urbanization and climate change on urban vegetation dynamics in China. Urban Forestry and Urban Greening, 54: 126764.
Li J J, Peng S Z, Li Z, 2017. Detecting and attributing vegetation changes on China’s Loess Plateau. Agricultural and Forest Meteorology, 247: 260–270.
Lin Z, Aiguo D, Bo D, 2018. Changes in global vegetation activity and its driving factors during 1982–2013. Agricultural and Forest Meteorology, 249: 198–209.
Mather A S, 2007. Recent Asian forest transitions in relation to forest-transition theory. International Forestry Review, 9(1): 491–502.
McDowell N G, Allen C D, Anderson-Teixeira K et al., 2020. Pervasive shifts in forest dynamics in a changing world. Science, 368(6494): 964–974.
McDowell N G, Beerling D J, Breshears D D et al., 2011. The interdependence of mechanisms underlying climate-driven vegetation mortality. Trends in Ecology and Evolution, 26(10): 523–532.
Menard S, 2004. Six approaches to calculating standardized logistic regression coefficients. American Statistician, 58(3): 218–223.
Mu B H, Zhao X, Wu D H et al., 2021. Vegetation cover change and its attribution in China from 2001 to 2018. Remote Sensing, 13(3): 496.
Munoz-Rojas M, De la Rosa D, Zavala L M et al., 2011. Changes in land cover and vegetation carbon stocks in Andalusia, Southern Spain (1956–2007). Science of the Total Environment, 409(14): 2796–2806.
Pan N Q, Feng X M, Fu B J et al., 2018. Increasing global vegetation browning hidden in overall vegetation greening: Insights from time-varying trends. Remote Sensing of Environment, 214: 59–72.
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.
Peng S S, Piao S L, Ciais P et al., 2013. Asymmetric effects of daytime and night-time warming on Northern Hemisphere vegetation. Nature, 501(7465): 88–92.
Persson A S, Olsson O, Rundlof M et al., 2010. Land use intensity and landscape complexity: Analysis of landscape characteristics in an agricultural region in Southern Sweden. Agriculture Ecosystems and Environment, 136(1/2): 169–176.
Pettorelli N, Ryan S, Mueller T et al., 2011. The normalized difference vegetation index (NDVI): Unforeseen successes in animal ecology. Climate Research, 46(1): 15–27.
Piao S L, Wang X H, Ciais P et al., 2011. Changes in satellite-derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006. Global Change Biology, 17(10): 3228–3239.
Piao S L, Wang X H, Park T et al., 2021. Characteristics, drivers and feedbacks of global greening. Nature Reviews Earth and Environment, 1(1): 14–27.
Qiao Y N, Jiang Y J, Zhang C Y, 2021. Contribution of karst ecological restoration engineering to vegetation greening in southwest China during recent decade. Ecological Indicators, 121: 107081.
Richardson A D, Keenan T F, Migliavacca M et al., 2013. Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agricultural and Forest Meteorology, 169: 156–173.
Shan Y L, Guan D B, Liu J H et al., 2017. Methodology and applications of city level CO2 emission accounts in China. Journal of Clean Production, 161: 1215–1225.
Shan Y L, Huang Q, Guan D B et al., 2020. China CO2 emission accounts 2016–2017. Scientific Data, 7(1): 54.
Simmons B A, Law E A, Marcos-Martinez R et al., 2018. Spatial and temporal patterns of land clearing during policy change. Land Use Policy, 75: 399–410.
Sivakumar M V K, 2007. Interactions between climate and desertification. Agricultural and Forest Meteorology, 142: 143–155.
Smith T M, Shugart H H, Bonan G B et al., 1992. Modeling the potential response of vegetation to global climate change. Advances in Ecological Research, 22: 93–98.
Strengers B J, Muller C, Schaeffer M et al., 2010. Assessing 20th century climate-vegetation feedbacks of land-use change and natural vegetation dynamics in a fully coupled vegetation-climate model. International Journal of Climatology, 30(13): 2055–2065.
Sun W Y, Song X Y, Mu X M et al., 2015. Spatiotemporal vegetation cover variations associated with climate change and ecological restoration in the Loess Plateau. Agricultural and Forest Meteorology, 209: 87–99.
Svenning J C, Sandel B, 2013. Disequilibrium vegetation dynamics under future climate change. American Journal of Botany, 100(7): 1266–1286.
Tong X W, Brandt M, Yue Y M et al., 2018. Increased vegetation growth and carbon stock in China karst via ecological engineering. Nature Sustainability, 1(1): 44–50.
Wang F, Ge Q S, Wang S W et al., 2015. A new estimation of urbanization’s contribution to the warming trend in China. Journal of Climate, 28(22): 8923–8938.
Wang J B, Zhao J, Li C H et al., 2019. The spatial-temporal patterns of the impact of human activities on vegetation coverage in China from 2001 to 2015. Acta Geographica Sinica, 74(3): 504–519. (in Chinese)
Wang T, Kou X, Xiong Y et al., 2010. Temporal and spatial patterns of NDVI and their relationship to precipitation in the Loess Plateau of China. International Journal of Remote Sensing, 31(7): 1943–1958.
Wang X L, Wang Y Q, Wang Y J, 2013. Use of exotic species during ecological restoration can produce effects that resemble vegetation invasions and other unintended consequences. Ecological Engineering, 52: 247–251.
Wang X Y, Zhou Y K, Wen R H et al., 2020. Mapping spatiotemporal changes in vegetation growth peak and the response to climate and spring phenology over Northeast China. Remote Sensing, 12(23): 3977.
West T A P, Fearnside P M, 2021. Brazil’s conservation reform and the reduction of deforestation in Amazonia. Land Use Policy, 100: 105072.
Wu D H, Zhao X, Liang S L et al., 2015. Time-lag effects of global vegetation responses to climate change. Global Change Biology, 21(9): 3520–3531.
Yang H, 2004. Land conservation campaign in China: Integrated management, local participation and food supply option. Geoforum, 35(4): 507–518.
Ye W T, van Dijk A I J M, Huete A et al., 2021. Global trends in vegetation seasonality in the GIMMS NDVI3g and their robustness. International Journal of Applied Earth Observation and Geoinformation, 94: 102238.
Yin H, Pflugmacher D, Li A et al., 2018. Land use and land cover change in Inner Mongolia: Understanding the effects of China’s re-vegetation programs. Remote Sensing of Environment, 204: 918–930.
Zhao S Q, Liu S G, Zhou D C, 2016. Prevalent vegetation growth enhancement in urban environment. Proceedings of the National Academy of Science of the United States of America, 113(22): 6313–6318.
Zheng K Y, Tan L S, Sun Y W et al., 2021. Impacts of climate change and anthropogenic activities on vegetation change: Evidence from typical areas in China. Ecological Indicators, 126: 107648.
Zhu L, Meng J, Zhu L, 2020. Applying geodetector to disentangle the contributions of natural and anthropogenic factors to NDVI variations in the middle reaches of the Heihe River Basin. Ecological Indicators, 117: 106545.
Zhu Z, Piao S L, Myneni R B et al., 2016. Greening of the earth and its drivers. Nature Climate Change, 6(8): 791–795.
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Zhao Haixia (1976-), PhD and Associate Professor, specialized in environmental economics and ecological economics. E-mail: hxzhao@niglas.ac.cn
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National Key R&D Program of China, No.2018YFD1100101; National Natural Science Foundation of China, No.71573250
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Zhao, H., Gu, B., Lindley, S. et al. Regulation factors driving vegetation changes in China during the past 20 years. J. Geogr. Sci. 33, 508–528 (2023). https://doi.org/10.1007/s11442-023-2094-x
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DOI: https://doi.org/10.1007/s11442-023-2094-x