RT Journal Article
T1 A generalized algebraic difference approach allows an improved estimation of aboveground biomass dynamics of Cunninghamia lanceolata and Castanopsis sclerophylla forests
A1 Tang, Xiaolu
A1 Fehrmann, Lutz
A1 Guan, Fengying
A1 Forrester, David I.
A1 Guisasola, Rubén
A1 Pérez Cruzado, César
A1 Vor, Torsten
A1 Lu, Yuanchang
A1 Álvarez González, Juan Gabriel
A1 Kleinn, Christoph
K1 Aboveground biomass
K1 Tree ring analysis
K1 Basal area
K1 Leaf area index
K1 Production efficiency
AB Key messageA generalized algebraic difference approach (GADA) developed in this study improved the estimation of aboveground biomass dynamics of Cunninghamia lanceolata (Lamb.) Hook and Castanopsis sclerophylla (Lindl.) Schott forests. This could significantly improve the fieldwork efficiency for dynamic biomass estimation without repeated measurements.ContextThe estimation of biomass growth dynamics and stocks is a fundamental requirement for evaluating both the capability and potential of forest carbon sequestration. However, the biomass dynamics of Cunninghamia lanceolata and Castanopsis sclerophylla using the generalized algebraic difference approach (GADA) model has not been made to date.AimsThis study aimed to quantify aboveground biomass (AGB, including stem, branch and leaf biomass) dynamics and AGB increment in C. lanceolata and C. sclerophylla forests by combining a GADA for diameter prediction with allometric biomass models.MethodsA total of 12 plots for a C. lanceolata plantation and 11 plots for a C. sclerophylla forest were selected randomly from a 100 m × 100 m systematic grid placed over the study area. GADA model was developed based on tree ring data for each stand.ResultsGADA models performed well for diameter prediction and successfully predicted AGB dynamics for both stands. The mean AGB of the C. lanceolata stand ranged from 69.4 ± 7.7 Mg ha−1 in 2010 to 102.5 ± 11.4 Mg ha−1 in 2013, compared to 136.9 ± 7.0 Mg ha−1 in 2010 to 154.8 ± 8.0 Mg ha−1 in 2013 for C. sclerophylla. The stem was the main component of AGB stocks and production. Significantly higher production efficiency (stem production/leaf area index) and AGB increment was observed for C. lancolata compared to C. sclerophylla.ConclusionDynamic GADA models could overcome the limitations posed by within-stand competition and limited biometric data, can be applied to study AGB dynamics and AGB increment, and contribute to improving our understanding of net primary production and carbon sequestration dynamics in forest ecosystems.
PB BioMed Central
YR 2017
FD 2017
LK https://hdl.handle.net/10347/41104
UL https://hdl.handle.net/10347/41104
LA eng
NO Tang, X., Fehrmann, L., Guan, F., Forrester, D. I., Guisasola, R., Pérez-Cruzado, C., Vor, T., Lu, Y., Álvarez-González, J. G., & Kleinn, C. (2017). A generalized algebraic difference approach allows an improved estimation of aboveground biomass dynamics of Cunninghamia lanceolata and Castanopsis sclerophylla forests. Annals of Forest Science., 74(1), 1–15. https://doi.org/10.1007/s13595-016-0603-0
NO This is the author’s version of the work. The definitive version was published in Annals of forest science, vol. 74, no. 12 (2017), available online at: https://doi.org/10.1007/s13595-016-0603-0
NO This study was part of Sino-German Cooperation on Innovative Technologies and Service Capacities of Multifunctional Forest Management (Lin2 Value 033L049-CAFYBB2012013) funded by the Federal Ministry of Education and Research (BMBF) and the Chinese Academy of Forestry, “948 project” of State Forest Administration (No. 2013-4-70), special research fund of International Centre for Bamboo and Rattan (No. 1632013010) supported by International Centre for Bamboo and Rattan (ICBR) in China.
DS Minerva
RD 28 abr 2026