Combining LPJ-GUESS and HASM to simulate the spatial distribution of forest vegetation carbon stock in China

• Alexeyev V, Birdsey R, Stakanov V et al., 1995. Carbon in vegetation of Russian forest: Methods to estimate storage and geographical distribution. Water, Air and Soil Pollution, 82: 271–282.

  Article  Google Scholar 

• Bonan G B, Levis S, 2006. Evaluating aspects of the community land and atmosphere models (CLM3 and CAM3) using a dynamic global vegetation model. Journal of Climate, 19(11): 2290–2301.

  Article  Google Scholar 

• Department of Forest Resources Management of National Forestry Bureau (DFRMNFB), 2010. Forest Resources Statistics of China. Beijing: Department of Forest Resources Management of National Forestry Bureau. (in Chinese)

  Google Scholar 

• Detwiler R P, Hall C S, 1988. Tropical forests and the global carbon cycle. Science, 239: 42–47.

  Article  Google Scholar 

• Doherty R M, Sitch S, Smith B et al., 2010. Implications of future climate and atmospheric CO₂ content for regional biogeochemistry, biogeography and ecosystem services across East Africa. Global Change Biology, 16(2): 617–640.

  Article  Google Scholar 

• Fang J Y, Chen A P, Peng C H et al., 2001. Changes in forest biomass carbon storage in China between 1949 and 1998. Science, 292: 2320–2322.

  Article  Google Scholar 

• Fang J Y, Liu G H, Xu S L, 1993. Storage, distribution and transfer of the biogenic carbon in China. The 1st IGAC Conference, Eilat, Israel.

  Google Scholar 

• Fang J Y, Wang G G, Liu G H et al., 1998. Forest biomass of China: An estimation based on the biomass-volume relationship. Ecological Applications, 8: 1084–1091.

  Google Scholar 

• Houghton R A, 1995. Land-use change and the carbon cycle. Global Change Biology, 1: 275–287.

  Article  Google Scholar 

• Kogan F N, Zhu X, 2001. Evolution of long-term errors in NDVI time series: 1985–1999. Advances in Space Research, 28(1): 149–153.

  Article  Google Scholar 

• Kramer P J, 1981. Carbon dioxide concentration, photosynthesis, and dry matter production. BioScience, 31: 29–33.

  Article  Google Scholar 

• Li H K, Lei Y C, 2012. Estimation and Evaluation of Forest Biomass Carbon Storage in China. Beijing: China Forest Publishing House. (in Chinese)

  Google Scholar 

• Li H K, Lei Y C, Zeng W S, 2011. Forest carbon storage in China estimated using forestry inventory data. Scientia Silvae Sinicae, 47(7): 7–12. (in Chinese)

  Google Scholar 

• Liu S N, Zhou T, Shu Y et al., 2012. The estimating of the spatial distribution of forest biomass in China based on remote sensing and downscale techniques. Acta Ecologica Sinica, 32(8): 2320–2330. (in Chinese)

  Article  Google Scholar 

• Morales P, Sykes M T, Prentice I C et al., 2005. Computing and evaluating process-based ecosystem model predictions of carbon and water fluxes in major European forest biomes. Global Change Biology, 11(12): 2211–2233.

  Article  Google Scholar 

• Olson J S, Watts J A, Allison L J, 1983. Carbon in live vegetation of major world ecosystems. Report ORNL-5862. Oak Ridge National Laboratory, Oak Ridge, Tenn., 15–25.

  Google Scholar 

• Piao S L, Fang J Y, Zhu B et al., 2005. Forest biomass carbon stocks in China over the past 2 decades: Estimation based on integrated inventory and satellite data. Journal of Geophysical Research, 110: G01006.

  Article  Google Scholar 

• Post W M, Emanuel W R, Zinke P J et al., 1982. Soil pools and world life zones. Nature, 298: 156–159.

  Article  Google Scholar 

• Shi W J, Liu J Y, Song Y J et al., 2009. Surface modeling of soil pH. Geoderma, 150(1/2): 113–119.

  Article  Google Scholar 

• Sitch S, Huntingford C, Gedney N et al., 2008. Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs). Global Change Biology, 14(9): 2015–2039.

  Article  Google Scholar 

• Sitch S, Smith B, Prentice I C, 2003. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biology, 9: 161–185.

  Article  Google Scholar 

• Trishchenko A P, Josef Cihlar, Li Zhanqing, 2002. Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sensors. Remote Sensing Environment, 81(1): 1–18.

  Article  Google Scholar 

• Turner D P, Koepper G J, Harmon M E et al., 1995. A carbon budget for forests of the conterminous United States. Ecological Applications, 5: 421–436.

  Article  Google Scholar 

• Wang C L, Yue T X, Fan Z M et al., 2012. HASM-based climatic downscaling model over China. Journal of Geo-Information Science, 14(5): 599–610. (in Chinese)

  Google Scholar 

• Wang X K, Feng Z W, Ouyang Z Y, 2001. Vegetation carbon storage and density of forest ecosystems in China. Chinese Journal of Applied Ecology, 12(1): 13–16. (in Chinese)

  Google Scholar 

• Waring R H, Schlesinger W H, 1985. Forest Ecosystems: Concepts and Management. Inc. Orlando, FL, USA: Academic Press, 313–335.

  Google Scholar 

• Woodwell G M, Whittaker R H, Reiners W A et al., 1978. The biota and the world carbon budget. Science, 199: 141–146.

  Article  Google Scholar 

• Xing Y Q, Wang L H, 2007. Compatible biomass estimation models of natural forests in Changbai Mountains based on forest inventory. Chinese Journal of Applied Ecology, 18(1): 1–8. (in Chinese)

  Google Scholar 

• Yue T X, Du Z P, Song D J et al., 2007. A new method of surface modeling and its application to DEM construction. Geomorphology, 91(1/2): 161–172.

  Article  Google Scholar 

• Zeng W S, Luo Q B, He D B, 1999. Study on compatible nonlinear tree biomass models. Chinese Journal of Ecology, 18(4): 19–24. (in Chinese)

  Google Scholar 

• Zhao M, Zhou G S, 2004. Carbon storage of forest vegetation and its relationship with climatic factors. Scientia Geographica Sinica, 24(1): 50–54. (in Chinese)

  Google Scholar 

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