Skip to main content
Log in

A GIS simulation of potential vegetation in China under different climate scenarios at the end of the 21st century

  • Published:
Contemporary Problems of Ecology Aims and scope

Abstract

The study of potential vegetation can reveal the impact of climate on changes in vegetation patterns. It is the starting point for studying vegetation-environmental classification and relationships, and it is the key point for studying global change and terrestrial ecosystems. By using the Comprehensive Sequential Classification System (CSCS) and the meteorological data under the four climate change scenarios from the IPCC5 publication, the present paper carries out a GIS simulation study of the spatial distribution of potential vegetation in China at the end of the 21st century. The results indicate that under the four climate scenarios at the end of the 21st century: (1) The potential vegetation in China shows significant horizontal and vertical distribution, which corresponds well to those of natural topographic features. (2) There are 40 classes of potential vegetation in China. Tropical-extrarid tropical desert (VIIA), which has no corresponding condition of growth in China, is commonly lacking, and differences exist among the potential vegetation classes and among the ratios of the classes under different scenarios. (3) From the perspective of categories, temperate forest is the most widely distributed, and savanna is the least widely distributed. Together with the strengthening of the radiation intensity according to RCP2.6 → RCP4.5 → RCP6.0 → RCP8.5, the area covered by cold-dry potential vegetation decreases as the area covered by warm-humid potential vegetation increases. As a result, the areas of tundra and alpine steppe, frigid desert, steppe, and temperate humid grassland tend to decrease, and those of semi-desert, temperate forest, sub-tropical forest, tropical forest, warm desert, and savanna tend to increase. Moreover, the potential vegetation in China at the end of the 21st century would change at different levels and in different directions when compared with that at the end of the 20th century. (4) In the same period, potential vegetation in different regions shows differences in their sensitivity to climate change, and by the end of the 21st century, 30.73% of land in China would be classified as a sensitive region, which highly corresponds to the current ecologically vulnerable zone, and whose potential vegetation easily evolves along with changes of climate scenarios.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Allen, R.B., and Wilson, J.B., A method for determining indigenous vegetation from simple environmental factors, and its use for vegetation restoration, Biol. Conserv., 1991, vol. 56, no. 3, pp. 265–280.

    Article  Google Scholar 

  • Che, Y.J, Studying of potential vegetation under the scenarios of different climate from 2070 to 2099 in China, MSc Thesis, Lanzhou: Northwest Normal Univ., 2014.

    Google Scholar 

  • Che, Y.J., Zhao, J., Shi, Y.F., and Wang, D.W, Potential vegetation in China at the end of the 21st century based on CSCS and RegCM3 models, Chin. J. Ecol., 2014, vol. 33, no. 2, pp. 447–454.

    Google Scholar 

  • Chen, A.F., Feng, Q., Zhang, J.K., Li, Z.S., and Wang, G., A review of climate change scenario for impacts process study, Sci. Geogr. Sin., 2015, vol. 35, no. 1, pp. 84–90.

    Google Scholar 

  • Chen, L., and Frauenfeld, O.W., Surface air temperature changes over the twentieth and twenty-first centuries in China simulated by 20 CMIP5 models, J. Clim., 2014, vol. 27, no. 11, pp. 3920–3937.

    Article  Google Scholar 

  • Chen, X.C., Xu, Y., Xu, Z.H., and Yao, Y, Assessment of precipitation simulations in China by CMIP5 multimodels, Progr. Inquisit. Mutat. Clim., 2014, vol. 10, no. 3, pp. 217–225.

    Google Scholar 

  • Dong, S.Y., and Gao, X.J, Long-term climate change: interpretation of IPCC fifth assessment report, Progr. Inquisit. Mutat. Clim., 2014, vol. 10, no. 1, pp. 56–59.

    Google Scholar 

  • Franklin, J, Predictive vegetation mapping: geographic modeling of bio-spatial pattern in relation to environmental gradients, Progr. Phys. Geogr., 1995, vol. 19, no. 4, pp. 474–499.

    Article  Google Scholar 

  • Holdridge, L.R, Determination of word plant formations from simple climatic data, Science, 1947, vol. 105, pp. 367–368.

    Article  CAS  PubMed  Google Scholar 

  • Hu, Z.Z., and Gao, C.X, Improvement of the comprehensive and sequential classification system of grasslands: I. Indices of grassland classes and index chart, Acta Pratacult. Sin., 1995, vol. 4, no. 3, pp. 1–7.

    Google Scholar 

  • IPCC, Technical summary, Climate change 2001: impacts, adaptation, and vulnerability, 2001. http://www.ipcc.ch/ pub/wg3TARtechsum.pdf.

  • IPCC, Working group I contribution to the IPCC fifth assessment report, Climate Change 2013: The physical science basis, 2013. http://www.climatechange2013.org/ images/uploads/WGIAR5_WGI-12Doc2b_FinalDraft_ Chapter14.pdf.

  • Li, H.M., and Ma, Y.S, Application on classification of Qinghai grassland by advanced comprehensive and sequential classification, Acta Pratacult. Sin., 2009, vol. 18, no. 2, pp. 76–82.

    CAS  Google Scholar 

  • Li, F., Zhao, J., Zhao, C.Y., Hao, J.M., and Zheng, J.J, The potential vegetation spatial distributions and patterns in China, Acta Ecol. Sin., 2008, vol. 28, no. 11, pp. 5347–5355.

    Google Scholar 

  • Li, F., Zhao, J., Zhao, C.Y., and Zhang, X.Q, Succession of potential vegetation in arid and semi-arid area of China, Acta Pratacult. Sin., 2011, vol. 31, no. 3, pp. 689–697.

    Google Scholar 

  • Liang, T.G., Feng, Q.S., Cao, J.J., Xie, H.J., Lin, H.L., Zhao, J., and Ren, J.Z, Changes in global potential vegetation distributions from 1911 to 2000 as simulated by the comprehensive sequential classification system approach, Chin. Sci. Bull., 2012, vol. 57, no. 11, pp. 1298–1310.

    Article  Google Scholar 

  • Lin, H.L., Zhao, J., Liang, T.G., Bogaer, J., and Li, Z.Q., A classification indices-based model for net primary productivity (NPP) and potential productivity of vegetation in China, Int. J. Biomath., 2012, vol. 5, no. 3, pp. 1–23.

    Article  Google Scholar 

  • Liu, H.M., Wu, S.H., Zheng, D., and Yang, Q.Y, The study on the potential natural vegetation and future prospect, Progr. Geogr., 2004, vol. 23, no. 1, pp. 62–70.

    Google Scholar 

  • Ministry of Environmental Protection, Brief on national ecological vulnerable zone protection planning, 2008. http://www.gov.cn/gzdt/2008-10/09/content_1116192. htm.

  • Ni, J., Sykes, M.T., Prentice, I.C., and Cramer, W, Modeling the vegetation of China using the process-based equilibrium terrestrial biosphere model BIOME3, Global Ecol. Biogeogr., 2000, vol. 9, pp. 463–479.

    Article  Google Scholar 

  • Olson, M.S., Levsen, N., Soolanaynkanahally, R.Y., Guy, R.D., Schroeder, W.R., Keller, S.R., and Tiffin, P, The adaptive potential of Populus balsamifera L. to phenology requirements in a warmer global climate, Mol. Ecol., 2013, vol. 22, no. 5, pp. 1214–1230.

    Article  CAS  PubMed  Google Scholar 

  • Qin, D.H., and Stocker, T, Highlights of the IPCC working group I fifth assessment report, Progr. Inquisit. Mutat. Clim., 2014, vol. 10, no. 1, pp. 1–6.

    Google Scholar 

  • Ren, G.Y., On baseline vegetation in Northern China, Acta Ecol. Sin., 2004, vol. 24, no. 6, pp. 1287–1293.

    Google Scholar 

  • Ren, J.Z., Hu, Z.Z., Mu, X.D., and Zhang, P.J, The comprehensive and sequential classification system of grassland and its significance of grassland genesis, China Grassland, 1980, no. 1, pp. 12–24.

    Google Scholar 

  • Ren, J.Z., Hu, Z.Z., Zhao, J., Zhang, D.G., Hou, F.J., Lin, H.L., and Mu, X.D., A grassland classification system and its application in China, Rangeland J., 2008, vol. 30, no. 2, pp. 199–209.

    Article  Google Scholar 

  • Sheng, Y.P., and Wang, G.Y., Key findings and assessment results of IPCC WGI fifth assessment report, J. Glaciol. Geocryol., 2013, vol. 35, no. 5, pp. 1068–1076.

    Google Scholar 

  • State Council, National Main Function Area Planning, 2011. http://www.gov.cn/zwgk/2011-06/08/content_ 1879180.htm.

  • Wen, E.S., and Zhou, G.S, Defining plant functional classes in China for global change studies, Acta Phytoecol. Sin., 2005, vol. 29, no. 1, pp. 81–97.

    Google Scholar 

  • Xiao, X.A., Zhang, S.S., Yan, X.H., and Dong, M, New advances in effects of global warming on plant-pollinator networks, Acta Ecol. Sin., 2015, vol. 35, no. 12, pp. 3871–3880.

    Google Scholar 

  • Yang, Z.Y, Comparison study on four climate-vegetation relationship models, MSc Thesis, Beijing: Inst. Bot., Chin. Acad. Sci., 2002.

    Google Scholar 

  • Zhao, C.Y., Feng, Z.D., Nan, Z.R., and Li, S.B, Modeling of potential vegetation in Zulihe River watershed of the West-central Loess Plateau, Acta Geogr. Sin., 2007, vol. 62, no. 1, pp. 52–61.

    Google Scholar 

  • Zhao, J, The study on theory and practice of rangeland eco-information maps and pratacultural Eco-informatics, PhD Thesis, Lanzhou: Gansu Agric. Univ., 2007.

    Google Scholar 

  • Zhao, J., Ma, X.P., and Wei, W, Vegetation succession and ecological changes in the Heihe River watershed over the past 50 years, Acta Pratacult. Sin., 2014, vol. 23, no. 5, pp. 61–68.

    Google Scholar 

  • Zhao, M.S., Ronald, P.N., Yan, X.D., and Dong, W.J, Modeling the vegetation of China under changing climate, Acta Geogr. Sin., 2002, vol. 57, no. 1, pp. 28–38.

    Google Scholar 

  • Zhou, G.S., and Zhang, X.S, Study on climate-vegetation classification for global change in China, Acta Bot. Sin., 1996, vol. 38, no. 4, pp. 8–17.

    Google Scholar 

  • Zhu, W.Q., Pan, Y.Z., Liu, X., and Wang, A.L, Spatio-temporal distribution of net primary productivity along the northeast China transect and its response to climatic change, J. For. Res., 2006, vol. 17, no. 2, pp. 93–98.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. Zhao.

Additional information

The article is published in the original

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, J., Du, H.Y., Shi, Y.F. et al. A GIS simulation of potential vegetation in China under different climate scenarios at the end of the 21st century. Contemp. Probl. Ecol. 10, 315–325 (2017). https://doi.org/10.1134/S1995425517030131

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1995425517030131

Keywords

Navigation