Abstract
Using the Integrated Biosphere Simulator, a dynamic vegetation model, this study initially simulated the net primary productivity (NPP) dynamics of China’s potential vegetation in the past 55 years (1961–2015) and in the future 35 years (2016–2050). Then, taking the NPP of the potential vegetation in average climate conditions during 1986–2005 as the basis for evaluation, this study examined whether the potential vegetation adapts to climate change or not. Meanwhile, the degree of inadaptability was evaluated. Finally, the NPP vulnerability of the potential vegetation was evaluated by synthesizing the frequency and degrees of inadaptability to climate change. In the past 55 years, the NPP of desert ecosystems in the south of the Tianshan Mountains and grassland ecosystems in the north of China and in western Tibetan Plateau was prone to the effect of climate change. The NPP of most forest ecosystems was not prone to the influence of climate change. The low NPP vulnerability to climate change of the evergreen broad-leaved and coniferous forests was observed. Furthermore, the NPP of the desert ecosystems in the north of the Tianshan Mountains and grassland ecosystems in the central and eastern Tibetan Plateau also had low vulnerability to climate change. In the next 35 years, the NPP vulnerability to climate change would reduce the forest–steppe in the Songliao Plain, the deciduous broad-leaved forests in the warm temperate zone, and the alpine steppe in the central and western Tibetan Plateau. The NPP vulnerability would significantly increase of the temperate desert in the Junggar Basin and the alpine desert in the Kunlun Mountains. The NPP vulnerability of the subtropical evergreen broad-leaved forests would also increase. The area of the regions with increased vulnerability would account for 27.5% of China.
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References
Cai Yunlong, 1996. Sensitivity and adaptation of Chinese agriculture under global climate change. Acta Geographica Sinica, 51(3): 202–212. (in Chinese)
Fang Chuanglin, Wang Yan, 2016. A comprehensive assessment of urban vulnerability and its spatial differentiation in China. Journal of Geographical Sciences, 26(2): 153–170.
Foley J A, Prentice I C, Ramankutty N et al., 1996. An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics. Global Biogeochemical Cycles, 10(4): 603–628.
Hutchinson M F, 1991. The application of thin plate splines to continent wide data assimilation. Data Assimilation Systems, BMRC Research Report No.27. Melbourne: Bureau of Meteorology.
International Geosphere–Biosphere Program–Data and Information System (IGBP–DIS), 1999. Global Soil Data Task: Spatial Data Base of Soil Properties, Toulouse, France.
IPCC, 2014. Climate Change 2014: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press.
Kucharik C J, Foley J A, Delire C et al., 2000. Testing the performance of a Dynamic Global Ecosystem Model: Water balance, carbon balance, and vegetation structure. Global Biogeochemical Cycles, 14(3): 795–825.
Li Kerang, Huang Mei, Tao Bo et al., 2009. Process Modeling of China’s Terrestrial Ecosystem and Its Response to Global Change. Beijing: China Meteorological Press. (in Chinese)
Lieth H, Whittaker R H, 1975. Primary Productivity of the Biosphere. New York: Springer–Verlag.
Liu Yanhua, Li Xiubin, 2007. Fragile Ecological Environment and Sustainable Development. Beijing: The Commercial Press. (in Chinese)
Metzger M J, Schroter D, Leemans R et al., 2008. A spatially explicit and quantitative vulnerability assessment of ecosystem service change in Europe. Regional Environmental Change, 8(3): 91–107.
Minnen J G, van Onigkeit J, Alcamo J, 2002. Critical climate change as an approach to assess climate change impacts in Europe: Development and application. Environmental Science & Policy, 5(4): 335–347.
Moss R H, Edmonds J A, Hibbard K A et al., 2010. The next generation of scenarios for climate change research and assessment. Nature, 463(7282): 747–756.
Neilson R P, 1995. A model for predicting continental–scale vegetation distribution and water balance. Ecological Applications, 5(2): 362–385.
Parton W J, Scurlock J M O, Ojima D S et al., 1993. Observation and modeling of biomass and soil organic matter dynamics for the grassland biome worldwide. Global Biogeochemical Cycles, 7(4): 785–809.
Prentice I C, Cramer W, Harrison S P et al., 1992. A global biome model based on plant physiology and dominance, soil properties and climate. Journal of Biogeography, 19(19): 117–134.
Shi Xiaoli. Risk assessment of Chinese ecosystem under climate change scenarios [D]. Beijing: Institute of Geographic Sciences and Natural Resource Research, Chinese Academy of Sciences, 2009. (in Chinese)
Sitch S, Smith B, Prentice I C et al., 2003. Evaluation of ecosystem dynamics, plant geography, and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biology, 9(2): 161–185.
Tian Yaping, Chang Hao, 2012. Bibliometric analysis of research progress on ecological vulnerability in China. Acta Geographica Sinica, 67(11): 1515–1525.(in Chinese)
Tüexen R, 1956. Die heutige potentielle natürliche Vegetation als Gegenstand der Vegetationskartierung: mit 10 Tabellen. Angewandte Pflanzensoziologie, 13: 5–42.
Woodward F I, Smith T M, Emanuel W R, 1995. A global land primary productivity and phytogeography model. Global Biogeochemical Cycles, 9(4): 471–490.
Wu Shaohong, Yin Yunhe, Zhao Huixia et al., 2005. Recognition of ecosystem response to climate change impact. Advances in Climate Change Research, 1(3): 115–118.(in Chinese)
Wu Shaohong, Dai Erfu, Huang Mei et al., 2007. Study on the vulnerability of ecological system in China under the future climate change scenario (B2) in 21st century. Chinese Science Bulletin, 52(7): 811–817.(in Chinese)
Wu Shaohong, Huang Jikun, Liu Yanhua et al., 2014. Pros and cons of climate change in China. China Population, Resources & Environment, 24(1): 7–13.(in Chinese)
Ye Duzheng, 1992. Prestudy of China’s Global Change. Beijing: China Meteorological Press. (in Chinese)
Yu Li, Cao Mingkui, Tao Bo et al., 2008. Quantitative assessment of the vulnerability of terrestrial ecosystems of China to climate change based on potential vegetation. Journal of Plant Ecology, 32(3): 521–530.(in Chinese)
Yuan Quanzhi, Wu Shaohong, Zhao Dongsheng et al., 2014. Modeling net primary productivity of the terrestrial ecosystem in China from 1961 to 2005. Journal of Geographical Sciences, 24(1): 3–17.
Yuan Quanzhi, Zhao Dongsheng, Wu Shaohong et al., 2011. Validation of the integrated biosphere simulator in simulating the potential natural vegetation map of China. Ecological Research, 26(5): 917–929.
Zhao Dongsheng, Wu Shaohong, 2014. Vulnerability of natural ecosystem in China under regional climate scenarios: An analysis based on eco-geographical regions. Journal of Geographical Sciences, 24(2): 237–248.
Zhao Yuelong, 1999. Types Distribution and Comprehensive Improvement of Fragile Ecological Environment in China. Beijing: China Environmental Science Press. (in Chinese)
Zheng Du, 2008. Chinese Eco-geographical Regionalization Research. Beijing: The Commercial Press. (in Chinese)
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Foundation: Key Project of National Natural Science Foundation of China, No.41530749; Science and Technology Project of Sichuan Provincial Department of Education, No.15ZB0023; Youth Projects of National Natural Science Foundation of China, No.41301196, No.41501202; Chongqing Foundation and Advanced Research Project, No.cstc2014jcyjA0808
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Yuan, Q., Wu, S., Dai, E. et al. NPP vulnerability of the potential vegetation of China to climate change in the past and future. J. Geogr. Sci. 27, 131–142 (2017). https://doi.org/10.1007/s11442-017-1368-6
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DOI: https://doi.org/10.1007/s11442-017-1368-6