详细信息
A generalized algebraic difference approach allows an improved estimation of aboveground biomass dynamics of Cunninghamia lanceolata and Castanopsis sclerophylla forests ( SCI-EXPANDED收录) 被引量:8
文献类型:期刊文献
英文题名:A generalized algebraic difference approach allows an improved estimation of aboveground biomass dynamics of Cunninghamia lanceolata and Castanopsis sclerophylla forests
作者:Tang, Xiaolu[1] Fehrmann, Lutz[1] Guan, Fengying[2] Forrester, David I.[3] Guisasola, Ruben[3] Perez-Cruzado, Cesar[1] Vor, Torsten[4] Lu, Yuanchang[5] Gabriel Alvarez-Gonzalez, Juan[6] Kleinn, Christoph[1]
第一作者:Tang, Xiaolu
通信作者:Tang, XL[1]
机构:[1]Georg August Univ Gottingen, Chair Forest Inventory & Remote Sensing, Busgenweg 5, D-37077 Gottingen, Germany;[2]Int Ctr Bamboo & Rattan, Key Lab Bamboo & Rattan, 8 Futong Dongdajie, Beijing 100102, Peoples R China;[3]Univ Freiburg, Fac Environm & Nat Resources, Chair Silviculture, Tennenbacherstr 4, D-79108 Freiburg, Germany;[4]Georg August Univ Gottingen, Dept Silviculture & Forest Ecol Temperate Zones, Busgenweg 1, D-37077 Gottingen, Germany;[5]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Dept Forest Management & Stat, Dongxiaofu 2,Xiangshan Rd, Beijing 100091, Peoples R China;[6]Univ Santiago de Compostela, Dept Ingn Agroforestal, Escuela Politecn Super, Campus Univ, Lugo 27002, Spain
年份:2017
卷号:74
期号:1
外文期刊名:ANNALS OF FOREST SCIENCE
收录:;WOS:【SCI-EXPANDED(收录号:WOS:000394370300007)】;
基金:This study was part of Sino-German Cooperation on Innovative Technologies and Service Capacities of Multifunctional Forest Management (Lin2Value 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.
语种:英文
外文关键词:Aboveground biomass; Tree ring analysis; Basal area; Leaf area index; Production efficiency
摘要:Key message A 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. Context The 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. Aims This 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. Methods A total of 12 plots for a C. lanceolata plantation and 11 plots for a C. sclerophylla forest were selected randomly from a 100 m x 100 m systematic grid placed over the study area. GADA model was developed based on tree ring data for each stand. Results GADA 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. Conclusion Dynamic 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.
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