XiangLiuDengEtAl2011

Référence

Xiang, W., Liu, S., Deng, X., Shen, A., Lei, X., Tian, D., Zhao, M. and Peng, C. (2011) General allometric equations and biomass allocation of Pinus massoniana trees on a regional scale in southern China. Ecological Research, 26(4):697-711. (Scopus )

Résumé

Applying allometric equations in combination with forest inventory data is an effective approach to use when qualifying forest biomass and carbon storage on a regional scale. The objectives of this study were to (1) develop general allometric tree component biomass equations and (2) investigate tree biomass allocation patterns for Pinus massoniana, a principal tree species native to southern China, by applying 197 samples across 20 site locations. The additive allometric equations utilized to compute stem, branch, needle, root, aboveground, and total tree biomass were developed by nonlinear seemingly unrelated regression. Results show that the relative proportion of stem biomass to tree biomass increased while the contribution of canopy biomass to tree biomass decreased as trees continued to grow through time. Total root biomass was a large biomass pool in itself, and its relative proportion to tree biomass exhibited a slight increase with tree growth. Although equations employing stem diameter at breast height (dbh) alone as a predictor could accurately predict stem, aboveground, root, and total tree biomass, they were poorly fitted to predict the canopy biomass component. The inclusion of the tree height (H) variable either slightly improved or did not in any way increase model fitness. Validation results demonstrate that these equations are suitable to estimate stem, aboveground, and total tree biomass across a broad range of P. massoniana stands on a regional scale. © 2011 The Ecological Society of Japan.

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@ARTICLE { XiangLiuDengEtAl2011,
    AUTHOR = { Xiang, W. and Liu, S. and Deng, X. and Shen, A. and Lei, X. and Tian, D. and Zhao, M. and Peng, C. },
    TITLE = { General allometric equations and biomass allocation of Pinus massoniana trees on a regional scale in southern China },
    JOURNAL = { Ecological Research },
    YEAR = { 2011 },
    VOLUME = { 26 },
    PAGES = { 697-711 },
    NUMBER = { 4 },
    ABSTRACT = { Applying allometric equations in combination with forest inventory data is an effective approach to use when qualifying forest biomass and carbon storage on a regional scale. The objectives of this study were to (1) develop general allometric tree component biomass equations and (2) investigate tree biomass allocation patterns for Pinus massoniana, a principal tree species native to southern China, by applying 197 samples across 20 site locations. The additive allometric equations utilized to compute stem, branch, needle, root, aboveground, and total tree biomass were developed by nonlinear seemingly unrelated regression. Results show that the relative proportion of stem biomass to tree biomass increased while the contribution of canopy biomass to tree biomass decreased as trees continued to grow through time. Total root biomass was a large biomass pool in itself, and its relative proportion to tree biomass exhibited a slight increase with tree growth. Although equations employing stem diameter at breast height (dbh) alone as a predictor could accurately predict stem, aboveground, root, and total tree biomass, they were poorly fitted to predict the canopy biomass component. The inclusion of the tree height (H) variable either slightly improved or did not in any way increase model fitness. Validation results demonstrate that these equations are suitable to estimate stem, aboveground, and total tree biomass across a broad range of P. massoniana stands on a regional scale. © 2011 The Ecological Society of Japan. },
    COMMENT = { Export Date: 16 May 2012 Source: Scopus CODEN: ECRSE doi: 10.1007/s11284-011-0829-0 },
    ISSN = { 09123814 (ISSN) },
    KEYWORDS = { Allometric equation, Pinus massoniana, Regional scale, Southern China subtropical region, Tree biomass carbon, allometry, biomass allocation, carbon, coniferous tree, data set, ecological modeling, equation, fitness, forest inventory, functional morphology, height, nonlinearity, regression analysis, China, Pinus massoniana },
    OWNER = { Luc },
    TIMESTAMP = { 2012.05.16 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-79960183057&partnerID=40&md5=118fc684860737f3790e53e48b04f38d },
}

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