Ecosystem Assessment

Ecosystem Carbon Allocation of a Temperate Mixed Forest and a Subtropical Evergreen Forest in China

  • 1. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;
    3. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;
    4. South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China

Received date: 2018-05-18

  Revised date: 2018-07-28

  Online published: 2018-11-30

Supported by

National Key Research and Development Program of China (2017YFC0503801, 2016YFC0500202); National Natural Science Foundation of China (31570446); Science and Technology Service Network Initiative (KFJ-SW-STS-169)


Ecosystem carbon allocation can indicate ecosystem carbon cycling visually through its quantification within different carbon pools and carbon exchange. Using the ecological inventory and eddy covariance measurement applied to both a mature temperate mixed forest in Changbai Mountain (CBM) and a mature subtropical evergreen forest in Dinghu Mountain (DHM), we partitioned the ecosystem carbon pool and carbon exchange into different components, determined the allocation and analyzed relationships within those components. Generally, the total carbon stock of CBM was slightly higher than that of DHM due to a higher carbon stock in the arbor layer at CBM. It was interesting that the proportions of carbon stock in vegetation, soil and litter were similar for the two mature forests. The ratio of vegetation carbon pool to soil carbon stock was 1.5 at CBM and 1.3 at DHM. However, more carbon was allocated to the trunk and root from the vegetation carbon pool at CBM, while more carbon was allocated to foliage and branches at DHM. Moreover, 77% of soil carbon storage was limited to the surface soil layer (0-20 cm), while there was still plentiful carbon stored in the deeper soil layers at DHM. The root/shoot ratios were 0.30 and 0.25 for CBM and DHM, respectively. The rates of net ecosystem productivity (NPP) to gross ecosystem productivity (GPP) were 0.76 and 0.58, and the ratios of ecosystem respiration (Re) to GPP were 0.98 and 0.87 for CBM and DHM, respectively. The net ecosystem carbon exchange/productivity (NEP) was 0.24 t C ha-1 yr-1 for CBM and 3.38 t C ha-1 yr-1 for DHM. Due to the common seasonal and inter-annual variations of ecosystem carbon exchange resulting from the influence of environmental factors, it was necessary to use the long record dataset to evaluate the ecosystem sink capacity.

Cite this article

LUO Yiwei, ZHANG Leiming, GUO Xuebing, DAI Guanhua, WANG Anzhi, ZHOU Guoyi, YU Guirui . Ecosystem Carbon Allocation of a Temperate Mixed Forest and a Subtropical Evergreen Forest in China[J]. Journal of Resources and Ecology, 2018 , 9(6) : 642 -653 . DOI: 10.5814/j.issn.1674-764x.2018.06.007


[1] Baldocchi D, Chu HS, Reichstein M, et al.2018. Inter-annual variability of net and gross ecosystem carbon fluxes: A review.Agricultural and Forest Meteorology, 249: 520-533.
[2] Baldocchi D.2008. Breathing of the terrestrial biosphere: Lessons learned from a global network of carbon dioxide flux measurement systems.Australian Journal of Botany, 56: 1-26.
[3] Barba J, Cueva A, Bahn M, et al.2018. Comparing ecosystem and soil respiration: Review and key challenges of tower-based and soil measurements. Agricultural and Forest Meteorology, 249, 434-443.
[4] Bekku Y, Koizumi H, Oikawa T, et al. 1997 Examination of four methods for measuring soil respiration. Applied Soil Ecology, 5: 247-254.
[5] Campioli M, Malhi Y, Vicca S, et al.2016. Evaluating the convergence between eddy-covariance and biometric methods for assessing carbon budgets of forests.Nature Communications, 7: 1-12.
[6] Chen G, Yang Y, Robinson D, et al.2013. Allocation of gross primary production in forest ecosystems: Allometric constraints and environmental responses.New Phytologist, 200: 1176-1186.
[7] Damesin C, Ceschia E, Le Goff N, et al.2002. Stem and branch respiration of beech: From arbor measurements to estimations at the stand level. New Phytologist, 153: 159-172.
[8] Fang J Y, Liu G H, Zhu B, et al.2007. Carbon budgets of three temperate forest ecosystems in Dongling Mt., Beijing, China.Science in China Series D: Earth Sciences, 50(1): 92-101.
[9] Fang Y T, Mo J M, Brown S, et al.2004. Storage and distribution of soil organic carbon in Dinghushan Biosphere Reserve.Acta Ecologica Sinica, 24(1): 135-143.
[10] Fang J Y, Ke J H, Tang Z Y, et al.2001. Implications and estimations of four ecological productivity parameters.Chinese Journal of Plant Ecology, 25(4): 414-419. (in Chinese)
[11] IPCC, 2013. Climate change 2013: The physical science basis. 2013. contribution of working group i to the fifth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
[12] Jiang Y T, Wang L M.2017. Pattern and control of biomass allocation across global forest ecosystems.Ecology and Evolution, 7: 5493-5501.
[13] Keith H, Mackey B G, Lindenmayer D B, et al.2009. Re-evaluation of forest biomass carbon stocks and lessons from the world’s most carbon-dense forests.Proceedings of the National Academy of Sciences of the United States of America, 106(28): 11635-11640.
[14] Larigauderie A, Körner C.1995. Acclimation of foliage dark respiration to temperature in alpine and lowland plant species.Annals of Botany, 76(3): 245-252.
[15] Liang G H, Wu J P, Xiong X, et al.2016. Effects of simulated acid rain on soil respiration in a monsoon evergreen broad-leaved forest at Dinghushan Nature Reserve.Guihaia, 36(2): 145-153. (in Chinese)
[16] Lim H, Choi W, Ahn K, et al.2012. Ecosystem respiration and arbor growth influenced by thinning in a red pine forest in Southern Korea. Forest Science and Technology, 8(4): 2158-0715.
[17] Liu S, Zhou T, Wei L, et al.2012. The spatial distribution of forest carbon sinks and sources in China.Chinese Science Bulletin, 57(14): 1699-1707.
[18] Luyssaert S, Inglima I, Jung M, et al.2007. CO2 balance of boreal, temperate, and tropical forests derived from a global database.Global Change Biology, 13: 2509-2537.
[19] Malhi Y, Baldocchi D, Jarvis PG, et al.1999. The carbon balance of tropical, temperate and boreal forests.Plant, Cell and Environment, 22: 715-740.
[20] Mo J M, Fang Y T, Peng S L,et al.2003. Carbon accumulation and allocation of lower subtropical evergreen broad-leaved forests in a MAB Reserve of China.Acta Ecologica Sinica, 23(10): 1970-1976. (in Chinese)
[21] Montané F, Fox A M, Arellano A F,et al.2014. Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools, and turnover in temperate forests. Geoscientific Model Development, 10: 3499-3517.
[22] Pan Y D, Birdsey R, Phillips O, et al. 2013. The structure, distribution, and biomass of the world’s forests. Annual Reviews Ecology System, 44: 593-622.
[23] Peichl M, Arain A A.2006. Above and belowground ecosystem biomass and carbon pools in an age-sequence of temperate pine plantation forests.Agricultural and Forest Meteorology, 140: 51-63.
[24] Piao S L, Fang J Y, Ciais P,et al.2009. The carbon balance of terrestrial ecosystems in China.Nature, 458(23): 1009-1014.
[25] Poorter H, Niklas K J, Reich P B, et al.2012. Biomass allocation to leaves, stems and roots: Meta-analyses of interspecific variation and environmental control.New Phytologist, 193(1): 30-50.
[26] Pregitzer K S, Euskirchen E S.2004. Carbon cycling and storage in world forests: Biome patterns related to forest age.Global Change Biology, 10: 2052-2077.
[27] Raich J, Schlesinger W, 1992. The global carbon dioxide flux in soil respiration and its relationship to vegetation and climate.Tellus, 44B: 81-99.
[28] Reich P B, Luo Y J, Bradford J B.2014. Temperature drives global patterns in forest biomass distribution in leaves, stems, and roots.PNAS, 111(38): 13721-13726.
[29] Speckma H, Frank J M, Bradford J B, et al.2015. Forest ecosystem respiration estimated from eddy covariance and chamber measurements under high turbulence and substantial arbor mortality from bark beetles.Global Change Biology, 21: 708-721.
[30] Tan Z, Zhang Y, Yu G, et al.2010. Carbon balance of a primary tropical seasonal rain forest.Journal of Geophysical Research, 115: 1-17.
[31] Tang X, Zhao X, Bai Y F,et al.2018. Carbon pools in China’s terrestrial ecosystems: New estimates based on an intensive field survey.PNAS, 115(16): 4021-4026.
[32] Tang X L, Zhou G Y, Wen D Z, et al.2003. Distribution of carbon storage in a lower subtropical monsoon evergreen broad-leaved forest in Dinghushan Nature Reserve.Acta Ecologica Sinica, 23(1): 90-97. (in Chinese)
[33] Wang C, Yang J, Zhang Q, 2006. Soil respiration in six temperate forests in China.Global Change Biology, 12: 2103-2114.
[34] Wang M, Guan D X, Han S J, et al. 2010. Comparison of eddy covariance and chamber-based methods for measuring CO2 flux in a temperate mixed forest. Arbor Physiology, 30: 149-163.
[35] Wang X C, Wang C K, Bond-Lamberty B.2017. Quantifying and reducing the differences in forest CO2-fluxes estimated by eddy covariance, biometric and chamber methods: A global synthesis.Agricultural and Forest Meteorology, 247: 93-103.
[36] Wen D, He N P.2016. Forest carbon storage along the north-south transect of eastern China: Spatial patterns, allocation, and influencing factors.Ecological Indicators, 61: 960-967.
[37] Yoda K.1983. Community respiration in a lowland rain forest in Pasoh Peninsular Malaysia.Japanese Journal of Ecology, 33: 183-197.
[38] Yu G R, Sun X M.2018. Principals of flux measurement in terrestrial ecosystems (Second edition). Higher Education Press,Beijing. (in Chinese)
[39] Yu G R, Wen X F, Sun X M, et al.2006. Overview of ChinaFLUX and evaluation of its eddy covariance measurement.Agricultural and Forest Meteorology, 137(3-4): 125-137.
[40] Yu G R, Zhang L M, Sun X M, et al.2008. Environmental controls over carbon exchange of three forest ecosystems in eastern China.Global Change Biology, 14: 2555-2571.
[41] Zeng Z Q, Wang S L, Zhang C M, et al.2013. Carbon storage in evergreen broad-leaf forests in mid-subtropical region of China at four succession stages.Journal of Forestry Research, 24(4): 677-682.
[42] Zhang Q, Wang C, Wang X,et al.2009. Carbon concentration variability of 10 Chinese temperate arbor species.Forest Ecology and Management, 258: 722-727.
[43] Zhang Q Z, Wang C K.2010. Carbon density and distribution of six chinese temperate forests.Science China Life Sciences, 53(7): 831-840.
[44] Zhou C, Zhou G, Zhang D,et al.2005. CO2 efflux from different forest soils and impact factors in Dinghu Mountain, China.Science in China (Series D), 48(Supp.Ⅰ): 198-207.
[45] Zhou L, Dai L, Wang S,et al.2011. Changes in carbon density for three old-growth forests on Changbai Mountain, Northeast China: 1981-2010.Annals of Forest Science, 68: 953-958.
[46] Zhu B, Wang X, Fang J, et al.2010. Altitudinal changes in carbon storage of temperate forests on Mt Changbai, Northeast China.Journal of Plant Research, 123: 439-452.
[47] Zhu J X, HU X Y, Yao H, et al. 2015. A significant carbon sink in temperate forests in Beijing: Based on 20-year field measurements in three stands. Science China Life Sciences, 58(11): 1135-1141.