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Modeling net primary productivity of the terrestrial ecosystem in China from 1961 to 2005

Abstract

Net primary productivity (NPP) is the most important index that represents the structure and function of the ecosystem. NPP can be simulated by dynamic global vegetation models (DGVM), which are designed to represent vegetation dynamics relative to environmental change. This study simulated the NPP of China’s ecosystems based on the DGVM Integrated Biosphere Simulator (IBIS) with data on climate, soil, and topography. The applicability of IBIS in the NPP simulation of China’s terrestrial ecosystems was verified first. Comparison with other relevant studies indicates that the range and mean value of simulations are generally within the limits of observations; the overall pattern and total annual NPP are close to the simulations conducted with other models. The simulations are also close to the NPP estimations based on remote sensing. Validation proved that IBIS can be utilized in the large-scale simulation of NPP in China’s natural ecosystem. We then simulated NPP with climate change data from 1961 to 2005, when warming was particularly striking. The following are the results of the simulation. (1) Total NPP varied from 3.61 GtC/yr to 4.24 GtC/yr in the past 45 years and exhibited minimal significant linear increase or decrease. (2) Regional differences in the increase or decrease in NPP were large but exhibited an insignificant overall linear trend. NPP declined in most parts of eastern and central China, especially in the Loess Plateau. (3) Similar to the fluctuation law of annual NPP, seasonal NPP also displayed an insignificant increase or decrease; the trend line was within the general level. (4) The regional differences in seasonal NPP changes were large. NPP declined in spring, summer, and autumn in the Loess Plateau but increased in most parts of the Tibetan Plateau.

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References

  • Cao Mingkui, Tao Bo, Li Kerang et al., 2003. Interannual variation in terrestrial ecosystem carbon fluxes in China from 1981 to 1998. Acta Botanica Sinica, 45(5): 552–560. (in Chinese)

    Google Scholar 

  • Delire C, Foley J A, 1999. Evaluating the performance of a land surface/ecosystem model with biophysical measurements from contrasting environments. Journal of Geophysical Research-Atmospheres, 104(D14): 16895–16909.

    Article  Google Scholar 

  • Ding Yihui, Ren Guoyu, Shi Guangyu et al., 2006. National assessment report of climate change (I): Climate change in China and its future trend. Advances in Climate Change Research, 2(1): 3–8. (in Chinese)

    Google Scholar 

  • El Maayar M, Price D, Delire T C et al., 2001. Validation of the integrated biosphere simulator over Canadian deciduous and coniferous boreal forest stands. Journal of Geophysical Research-Atmospheres, 106(D13): 14339–14355.

    Article  Google Scholar 

  • El Maayar M, Price D T, Black T A et al., 2002. Sensitivity tests of the integrated biosphere simulator to soil and vegetation characteristics in a pacific coastal coniferous forest. Atmosphere-Ocean, 40(3): 313–332.

    Article  Google Scholar 

  • Field C B, Behrenfeld M J, Randerson J T et al., 1998. Primary production of the biosphere: Integrating terrestrial and oceanic components. Science, 281(5374): 237–240.

    Article  Google Scholar 

  • Foley J A, Levis S, Prentice I C et al., 1998. Coupling dynamic models of climate and vegetation. Global Change Biology, 4(5): 561–579.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Friend A D, Stevens A K, Knox R G et al., 1997. A process-based terrestrial biosphere model of ecosystem dynamics (Hy-brid v3.0). Ecological Modelling, 95(2/3): 249–287.

    Article  Google Scholar 

  • Fu Bojie, Niu Dong, Zhao Shidong, 2005. Study on global change and terrestrial ecosystems: History and prospect. Advance in Earth Sciences, 20(5): 556–560. (in Chinese)

    Google Scholar 

  • Gao Zhiqiang, Liu Jiyuan, Cao Mingkui, 2004. Impacts of land use and climate change on regional net primary productivity. Journal of Geographical Sciences, 14(3): 581–591.

    Google Scholar 

  • Haxeltine A, Prentice I C, 1996. BIOME3: An equilibrium terrestrial biosphere model based on eco-physiological constraints and competition among plant functional types. Global Biogeochemical Cycles, 4(10): 693–708.

    Article  Google Scholar 

  • Huang Mei, 2006. Study of the water, energy and carbon fluxes of China’s terrestrial ecosystems. Beijing: Ph.D Dissertation of Institute of Geographic Sciences and Natural Resources Research, CAS. (in Chinese)

    Google Scholar 

  • Hutchinson M F, 2004. Anusplin version 4.3 user guide. The Australia National University, Center for Resource and Environment Studies, Canberra.

    Google Scholar 

  • IPCC, 2007. Climate Change 2007: The Physical Science Basis: Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.

    Google Scholar 

  • Kucharik C J, Barford C C, El Maayar M et al., 2006. A multiyear evaluation of a dynamic global vegetation model at three AmeriFlux forest sites: Vegetation structure, phenology, soil temperature, and CO2 and H2O vapor exchange. Ecological Modelling, 196(1/2): 1–31.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Lieth H, Whittaker R H, 1975. Primary Productivity of the Biosphere. Berlin: Springer.

    Book  Google Scholar 

  • Liu J X, Price D T, Chen J A, 2005. Nitrogen controls on ecosystem carbon sequestration: A model implementation and application to Saskatchewan, Canada. Ecological Modelling, 186: 178–195.

    Article  Google Scholar 

  • Liu Shirong, Wu Deying, Wang Bing et al., 1993. Impacts of climate change on productivity of forests in China. Forest Research, 6(6): 633–642. (in Chinese)

    Google Scholar 

  • Liu Zhiang, Ma Qinyan, Pan Xiangli, 1994. Study of the biomass and productivity of natural Larix gmelini. Acta Phytoecologica Sinica, 18(4): 328–337.

    Google Scholar 

  • Matthew P A, Lombardero M J, 2000. Assessing the consequences of global change for forest disturbance from herbivores and pathogens. Science of the Total Environment, (262): 263–286.

    Google Scholar 

  • Naik V, Wuebbles D J, DeLucia E H et al., 2003. Influence of geoengineered climate on the terrestrial biosphere. Environmental Management, 32(3): 373–381.

    Article  Google Scholar 

  • Ni J, 2000. Net primary production, carbon storage and climate change in Chinese biomes. Nordic Journal of Botany, 20(4): 415–426.

    Article  Google Scholar 

  • Parry M L, Canziani O F, Palutikof J P et al., 2007. Climate Change 2007: Impacts, adaptation and vulnerability: Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.

    Google Scholar 

  • Parton W J, Scurlock J M O, Ojima D S, 1993. Observations and modeling of biomass and soil organic matter dynamics for grassland biome worldwide. Global Biogeochemical Cycles, 7(4): 785–809.

    Article  Google Scholar 

  • Piao S L, Fang J Y, 2003. Seasonal changes in vegetation activity in response to climate changes in China between 1982 and 1999. Acta Geographica Sinica, 58(1): 119–125. (in Chinese)

    Google Scholar 

  • 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(2): 117–134.

    Article  Google Scholar 

  • Ruimy A, Saugier B, Dedieu G, 1994. Methodology for the estimation of terrestrial net primary production from remotely sensed data. Journal of Geophysical Research, 99(D3): 5263–5283.

    Article  Google Scholar 

  • Running S W, Gower S T, 1991. Forest-BGC, a general model of forest ecosystem processes for regional applications (II): Dynamic allocation and nitrogen budgets. Tree Pbysiol., 9: 147–160

    Article  Google Scholar 

  • Sitch S, Prentice I C, Smith B, 2000. LPJ: a coupled model of vegetation dynamics and the terrestrial carbon cycle. In: Sitch S (ed.). The role of vegetation dynamics in the control of atmospheric CO2 content. Lund: Ph.D Dissertation of Lund University.

    Google Scholar 

  • Sun Rui, Zhu Qijiang, 2001. Effect of climate change of terrestrial net primary productivity in China. Journal of Remote Sensing, 5(1): 58–61. (in Chinese)

    Google Scholar 

  • Tao Bo, Li Kerang, Shao Xuemei et al., 2003. The temporal and spatial patterns of terrestrial net primary productivity in China. Journal of Geographical Sciences, 13(2): 163–171.

    Article  Google Scholar 

  • Twine T E, Kucharik C J, Foley J A, 2004. Effects of land cover change on the energy and water balance of the Mississippi River basin. Journal of Hydrometeorology, 5(4): 640–655.

    Article  Google Scholar 

  • Vano J A, Foley J A, Kucharik C J et al., 2006. Evaluating the seasonal and interannual variations in water balance in northern Wisconsin using a land surface model. Journal of Geophysical Research-Biogeosciences, 111, doi: 10.1029/2005JG000112.

    Google Scholar 

  • Wang Yuhui, Zhou Guangsheng, Jiang Yanling et al., 2001. Estimating biomass and NPP of Larix forests using forest inventory data. Acta Phytoecologica Sinica, 25(4): 420–425. (in Chinese)

    Google Scholar 

  • Wang Zongming, Liang Yinli, 2002. Progress in vegetation net primary productivity model research. Journal of Northwest Forestry College, 17(2): 22–25. (in Chinese)

    Google Scholar 

  • Wu Shaohong, Dai Erfu, Huang Mei et al., 2007. Ecosystem vulnerability of China under B2 climate scenario in the 21st century. Chinese Science Bulletin, 52(10): 1379–1386. (in Chinese)

    Article  Google Scholar 

  • Wu Shaohong, Zheng Du, Yin Yunhe et al., 2010. Northward-shift of temperature zones in China’s eco-geographical study under future climate scenario. Journal of Geographical Sciences, 5(5): 643–665.

    Article  Google Scholar 

  • Xiao X M, Melillo J M, Kicklighter D W et al., 1998. Net primary production of terrestrial ecosystems in China and its equilibrium responses to changes in climate and atmospheric CO2 concentration. Acta Phytoecologica Sinica, 22(2): 97–118.

    Google Scholar 

  • Yuan Q Z, Zhao D S, Wu S H et al., 2011. Validation of the integrated biosphere simulator in simulating the potential natural vegetation map of China. Ecological Research, 26(5): 917–929

    Article  Google Scholar 

  • Zhao Dongsheng, 2010. Possible impacts of future climate change to natural ecosystems productivity in China. Beijing: Postdoctor Report of Institute of Geographical Sciences and Natural Resource Research, CAS. (in Chinese)

    Google Scholar 

  • Zhao Ming, Zhou Guangsheng, 2005. Modeling Variation Trend of Boreal Forest NPP in China and Its Relations to Temperature and Precipitation. Acta Botanica Boreali-Occidentalia Sinica, 25(3): 466–471. (in Chinese)

    Google Scholar 

  • Zheng Z, Wang G, 2007. Modeling the dynamic root water uptake and its hydrological impact at the Reserva Jaru site in Amazonia. Journal of Geophysical Research-Biogeosciences, 112, doi: 10.1029/2007JG000413.

    Google Scholar 

  • Zhu Q A, Jiang H, Liu J X et al., 2010. Evaluating the spatiotemporal variations of water budget across China over 1951–2006 using IBIS model. Hydrological Processes, 24(4): 429–445.

    Google Scholar 

Download references

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Correspondence to Shaohong Wu.

Additional information

Foundation: “Strategic Priority Research Program of China” of the Chinese Academy of Sciences, No.XDA05090307; National Key Technology R&D Program of the 12th Five-Year Plan, No.2012BAC19B10; Open Project of Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, No.SHUES2012A04

Author: Yuan Quanzhi, PhD, specialized in simulations of land surface processes.

Corresponding author: Wu Shaohong, Professor, specialized in physical geography.

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Yuan, Q., Wu, S., Zhao, D. et al. Modeling net primary productivity of the terrestrial ecosystem in China from 1961 to 2005. J. Geogr. Sci. 24, 3–17 (2014). https://doi.org/10.1007/s11442-014-1069-3

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  • DOI: https://doi.org/10.1007/s11442-014-1069-3

Keywords

  • net primary productivity
  • integrated biosphere simulator
  • China