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Meng, Shengwang
- Biomass Allocation in Relation to Stand Age and Density in Natural Larix gmelinii Forests in Cold Temperate China
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1 Key Laboratory of Forest Cultivation, Department of Forest Sciences, Beijing Forestry University, Beijing, 100083, CN
1 Key Laboratory of Forest Cultivation, Department of Forest Sciences, Beijing Forestry University, Beijing, 100083, CN
Source
Nature Environment and Pollution Technology, Vol 15, No 3 (2016), Pagination: 1027-1033Abstract
Knowledge of belowground biomass allocation is largely hampered by the fact that ischolar_main biomass is difficult to measure. In this study, allometric equations relating the specific components of ischolar_main and aboveground biomass to diameter at breast height were developed for Larix gmelinii using the nested regression method. Patterns in above and belowground biomass allocation in relation to stand age and density were examined. Both ischolar_mainshoot ratio and fine ischolar_main-foliage ratio were smaller in older stands with lower density. Additionally, with increasing stand age and decreasing stand density, the proportion of foraging components (fine ischolar_main and foliage) to total tree biomass decreased, whereas, that of the structural components (stem, branch and coarse ischolar_main) increased. Differences in biomass allocation patterns between foraging and structural components of trees are considered as a driving force behind the variation in a tree structure along gradients in stand age and density. Application of these allometric equations and improved understanding of biomass partitioning patterns are expected to improve the accuracy of ecosystem carbon accounting as well as the reliability of modelling approaches.Keywords
Biomass Allocation, Larix gmelinii, Stand Age, Stand Density, Carbon Accounting.Full Text
References
- Bolte, A., Rahmann, T., Kuhr, M., Pogoda, P., Murach, D. and Gadow, K.V. 2004. Relationships between tree dimension and coarse ischolar_main biomass in mixed stands of European beech (Fagus sylvatica L.) and Norway spruce (Picea abies [L.] Karst.). Plant Soil, 264: 1-11
- Brix, H. 1981. Effects of thinning and nitrogen fertilization on branch and foliage production in Douglas-fir. Can. J. For. Res., 11: 502-511
- Burkes, E.C., Will, R.E., Barron, Gafford, G.A., Teskey, R.O. and Shiver, B. 2003. Biomass partitioning and growth efficiency of intensively managed Pinus taeda and Pinus elliottii stands of different planting densities. For. Sci., 47: 224-234.
- Cairns, M.A., Brown, S., Helmer, E.H. and Baumgardner, G.A. 1997. Root biomass allocation in the world’s upland forests. Oecologia, 111: 1-11.
- Chojnacky, D.C., Heath, L.S. and Jenkins, J.C. 2014. Updated generalized biomass equations for North American tree species. Forestry, 87: 129-151.
- Das, D.K. and Chaturvedi, O.P. 2008. Root biomass and distribution of five agroforestry tree species. Agroforestry Systems, 74: 223-230.
- Dixon, R.K., Brown, S., Houghton, R.A., Solomon, A.M., Trexler, M.C. and Wisniewski, J. 1994. Carbon pools and flux of global forest ecosystems. Science, 263: 185-189.
- Feng, Z.W., Wang, X.K. and Wu, G. 1999. Biomass and productivity of forest ecosystems in China. Science Press, Beijing, pp. 52, 100 (in Chinese).
- Goodale, C.L., Apps, M.J., Birdsey, R.A., Field, C.B., Heath, L.S., Houghton, R.A., Jenkins, J.C., Kohlmaier, G.H., Kurz, W. and Liu, S. 2002. Forest carbon sinks in the Northern Hemisphere. Ecol. Appl., 12: 891-899.
- Gower, S.T., Gholz, H.L., Nakane, K. and Baldwin, V.C. 1994. Production and carbon allocation patterns of pine forests. Ecological Bulletins, 43: 115-135.
- Grulke, N.E. and Retzlaff, W.A. 2001. Changes in physiological attributes of ponderosa pine from seedling to mature tree. Tree Physiol. 21: 275-286.
- Hertel, D., Strecker, T., Müller, H.H. and Leuschner, C. 2013. Fine ischolar_main biomass and dynamics in beech forests across a precipitation gradientis optimal resource partitioning theory applicable to water-limited mature trees? J. Ecol., 101: 1183-1200.
- IPCC 2006. 2006 IPCC guidelines for national greenhouse gas inventories. UK: Cambridge University Press, Vol. 4. http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol3.html
- Jackson, R.B., Mooney, H.A. and Schulze, E.D. 1997. A global budget for fine ischolar_main biomass, surface area, and nutrient contents. Proc. Natl. Acad. Sci., 94: 7362-7366.
- Kajimoto, T., Matsuura, Y., Osawa, A., Abaimov, A.P., Zyryanova, O.A., Isaev, A.P., Yefremov, D.P., Mori, S. and Koike, T. 2006. Size-mass allometry and biomass allocation of two larch species growing on the continuous permafrost region in Siberia. For. Ecol. Manage., 222: 314-325.
- Kajimoto, T., Matsuura, Y., Sofronov, M.A., Volokitina, A.V., Mori, S., Osawa, A. and Abaimov, A.P. 1999. Above- and belowground biomass and net primary productivity of a Larix gmelinii stand near Tura, central Siberia. Tree Physiol., 19: 815-822.
- Kobe, R.K., Iyer, M. and Walters, M.B. 2010. Optimal partitioning theory revisited: Nonstructural carbohydrates dominate ischolar_main mass responses to nitrogen. Ecology, 91: 166-179.
- Koteen, L.E., Raz-Yaseef, N. and Baldocchi, D.D. 2014. Spatial heterogeneity of fine ischolar_main biomass and soil carbon in a California oak savanna illuminates plant functional strategy across periods of high and low resource supply. Ecohydrol., 8(2): 294-308
- Landsberg, J. 2003. Modelling forest ecosystems: state of the art, challenges, and future directions. Can. J. For. Res., 33: 385-397.
- Li, Z., Kurz, W.A., Apps, M.J. and Beukema, S.J. 2003. Belowground biomass dynamics in the carbon budget model of the Canadian forest sector: recent improvements and implications for the estimation of NPP and NEP. Can. J. For. Res., 33: 126-136.
- Lin, Y., Huth, F., Berger, U. and Grimm, V. 2014. The role of belowground competition and plastic biomass allocation in altering plant mass-density relationships. Oikos, 123: 248-256.
- Liski, J., Korotkov, A.V., Prins, C.F., Karjalainen, T., Victor, D.G. and Kauppi, P.E. 2003. Increased carbon sink in temperate and boreal forests. Clim. Change., 61: 89-99.
- Litton, C.M., Raich, J.W. and Ryan, M.G. 2007. Carbon allocation in forest ecosystems. Global Change Biol., 13: 2089-2109.
- Litton, C.M., Ryan, M.G. and Knight, D.H. 2004. Effects of tree density and stand age on carbon allocation patterns in postfire lodgepole pine. Ecol. Appl., 14: 460-475.
- Litton, C.M., Ryan, M.G., Tinker, D.B. and Knight, D.H. 2003. Belowground and aboveground biomass in young postfire lodgepole pine forests of contrasting tree density. Can. J. For. Res., 33: 351-363.
- Liu, Q.J. 2009. Nested regression for establishing tree biomass equations. Chinese Journal of Plant Ecology, 33: 331-337. (in Chinese with English abstract)
- Luyssaert, S., Schulze, E.D., Börner, A., Knohl, A., Hessenmöller, D., Law, B.E., Ciais, P. and Grace, J. 2008. Old-growth forests as global carbon sinks. Nature, 455: 213-215.
- McCarthy, M.C. and Enquist, B.J. 2007. Consistency between an allometric approach and optimal partitioning theory in global patterns of plant biomass allocation. Funct. Ecol., 21: 713-720.
- McConnaughay, K.D.M. and Coleman, J.S. 1999. Biomass allocation in plants: ontogeny or optimality? A test along three resource gradients. Ecology, 80: 2581-2593.
- Meinen, C., Hertel, D. and Leuschner, C. 2009. Biomass and morphology of fine ischolar_mains in temperate broad-leaved forests differing in tree species diversity: is there evidence of below-ground over yielding? Oecologia, 161: 99-111.
- Mokany, K., Raison, R. and Prokushkin, A.S. 2006. Critical analysis of ischolar_main: shoot ratios in terrestrial biomes. Global Change Biol., 12: 84-96.
- Navar, J. 2009. Allometric equations for tree species and carbon stocks for forests of northwestern Mexico. For. Ecol. Manage., 257: 427-434.
- Niiyama, K., Kajimoto, T., Matsuura, Y., Yamashita, T., Matsuo, N., Yashiro, Y., Ripin, A., Kassim, A.R. and Noor, N.S. 2010. Estimation of ischolar_main biomass based on excavation of individual ischolar_main systems in a primary dipterocarp forest in Pasoh Forest Reserve, Peninsular Malaysia. J. Trop. Ecol., 26: 271-284.
- Niklas, K.J. 2006. A phyletic perspective on the allometry of plant biomasspartitioning patterns and functionally equivalent organ-categories. New Phytol., 171: 27-40.
- Oliver, C.D. and Larson, B.C. 1996. Forest Stand Dynamics. Wiley, New York, pp. 520.
- Pan, Y.D., Birdsey, R.A., Fang, J.Y., Houghton, R., Kauppi, P.E., Kurz, W.A., Phillips, O.L., Shvidenko, A., Lewis, S.L. and Canadell, J.G. 2011. A large and persistent carbon sink in the world’s forests. Science, 333: 988-993.
- Peet, R.K. 1981. Changes in biomass and production during secondary forest succession. In: Forest Succession: Concepts and Applications. Springer, New York. pp. 324-338.
- Peichl, M. and Arain, M.A. 2007. Allometry and partitioning of above-and belowground tree biomass in an age-sequence of white pine forests. For. Ecol. Manage., 253: 68-80.
- Poorter, H., Niklas, K.J., Reich, P.B., Oleksyn, J., Poot, P. and Mommer, L. 2012. Biomass allocation to leaves, stems and ischolar_mains: meta-analyses of interspecific variation and environmental control. New Phytol., 193: 30-50.
- Reich, P.B., Luo, Y., Bradford, J.B., Poorter, H., Perry, C.H. and Oleksyn, J. 2014. Temperature drives global patterns in forest biomass distribution in leaves, stems, and ischolar_mains. Proc. Natl. Acad. Sci., 111: 13721-13726.
- Ruess, R.W., Cleve, K.V., Yarie, J. and Viereck, L.A. 1996. Contributions of fine ischolar_main production and turnover to the carbon and nitrogen cycling in taiga forests of the Alaskan interior. Can. J. For. Res., 26: 1326-1336.
- Schmid, I. 2002. The influence of soil type and interspecific competition on the fine ischolar_main system of Norway spruce and European beech. Basic Appl. Ecol., 3: 339-346.
- Shipley, B. and Meziane, D. 2002. The balanced-growth hypothesis and the allometry of leaf and ischolar_main biomass allocation. Funct. Ecol., 16: 326-331.
- Sloan, V.L., Fletcher, B.J., Press, M.C., Williams, M. and Phoenix, G.K. 2013. Leaf and fine ischolar_main carbon stocks and turnover are coupled across Arctic ecosystems. Global Change Biol., 19: 3668-3676.
- Steele, S.J., Gower, S.T., Vogel, J.G. and Norman, J.M. 1997. Root mass, net primary production and turnover in aspen, jack pine and black spruce forests in Saskatchewan and Manitoba, Canada. Tree Physiol., 17: 577-587.
- Ugawa, S., Miura, S., Iwamoto, K., Kaneko, S. and Fukuda, K. 2010. Vertical patterns of fine ischolar_main biomass, morphology and nitrogen concentration in a subalpine fir-wave forest. Plant Soil, 335: 469-478.
- Wang, C.K. 2006. Biomass allometric equations for 10 co-occurring tree species in Chinese temperate forests. For. Ecol. Manage., 222: 9-16.
- Wang, R.L., Cheng, R.M., Xiao, W.F., Feng, X.H., Liu, Z.B., Wang, X.R. and Wang, Z.B. 2013. Spatial heterogeneity of fine ischolar_main biomass of Pinus massoniana forests in the Three Gorges Reservoir Area, China. For. Sci. Pract., 15: 13-23.
- Wang, W.J., Zu, Y.G., Wang, H.M., Matsuura, Y., Sasa, K. and Koike, T. 2005. Plant biomass and productivity of Larix gmelinii forest ecosystems in Northeast China: intra- and inter-species comparison. Eurasian J. For. Res., 8: 21-41.
- Wang, X.P., Fang, J.Y. and Zhu, B. 2008. Forest biomass and ischolar_main-shoot allocation in northeast China. For. Ecol. Manage., 255: 4007-4020.
- Xiao, C.W. and Ceulemans, R. 2004. Allometric relationships for belowand aboveground biomass of young Scots pines. For. Ecol. Manage., 203: 177-186.
- Xu, H.C. 1998. Forests in Daxing’anling Mountains China. Science Press, Beijing, pp. 22-53 (in Chinese).