globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2014.08.031
Scopus记录号: 2-s2.0-84949117311
论文题名:
Tree biomass equations for tropical peat swamp forest ecosystems in Indonesia
作者: Manuri S.; Brack C.; Nugroho N.P.; Hergoualc'h K.; Novita N.; Dotzauer H.; Verchot L.; Putra C.A.S.; Widyasari E.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2014
卷: 334
起始页码: 241
结束页码: 253
语种: 英语
英文关键词: Aboveground biomass estimation ; Destructive sampling ; REDD+ ; Species grouping ; Tree allometry ; Wood density
Scopus关键词: Biology ; Deforestation ; Ecosystems ; Estimation ; Hardwoods ; Peat ; Tropics ; Wetlands ; Above ground biomass ; Destructive sampling ; REDD ; Species grouping ; Tree allometry ; Wood density ; Biomass ; aboveground biomass ; dicotyledon ; emission control ; forest management ; model validation ; peat ; sampling ; statistical analysis ; swamp forest ; tropical environment ; Biomass ; Estimation ; Sampling ; Species Identification ; Wood Density ; Indonesia ; United States
英文摘要: To assist countries to reduce emissions from deforestation and forest degradation, the United Nations has introduced the REDD+. mechanism. This performance-based incentive mechanism requires accurate quantification of carbon stock and emissions. However, currently there are limited existing local or regional equations for estimating aboveground biomass in peat swamp forests. The main objective of this study was to define the most accurate models for aboveground biomass estimation in Indonesian peat swamp forests. We found that the pan-tropical equations performed better in estimating biomass of peat swamp forests than did existing local equations. We developed new equations, based on 148 trees from 24 families with diameter at breast height in the range of 2-167. cm collected from peat swamp forests in the western part of Indonesia. Statistical indicators showed that the best model form was the common linear one using log-transformed data. Estimated biomass values needs to be back-transformed applying correction factors. The ratio estimator correction factor which derives from the ratio between the average of measured biomass and the average of predicted biomass, was found to provide the lowest mean deviation. The existing pan-tropical equations performed similarly to our mixed species and dipterocarp models but they systematically under- or over-estimated the biomass of certain species groups, especially non-dipterocarp trees. We also found that grouping by family (dipterocarp vs. non-dipterocarp) and wood density class (hardwood vs. softwood) significantly improved the accuracy of biomass estimation. In the absence of wood density values, wood density-class specific equations, instead of mixed-species equations improved the accuracy of biomass estimates. © 2014 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65683
Appears in Collections:影响、适应和脆弱性

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作者单位: Fenner School of Environment and Society, The Australian National University, Linnaeus way Building 48, Acton, ACT, Australia; Research Institute for Forestry Technology on Watershed Management, Jl. Jenderal Ahmad Yani, P.O. Box 295, Pabelan, Kartasura, Surakarta, Indonesia; Center for International Forestry Research (CIFOR) c/o Centro International de la Papa (CIP), Av. La Molina 1895, La Molina, Apdo postal 1558, Lima, Peru; Center for International Forestry Research (CIFOR), Jl. CIFOR, Situ Gede, Bogor, Indonesia; Forests and Climate Change Programe, Deutsche Gesellschaft für Internationale Zusammenarbeit (FORCLIME-GIZ), Manggala Wanabakti Building, Block VII, 6th floor, Jakarta, Indonesia; Tropical Forest Foundation (TFF), Komplek Cimanggu Permai, Jl. Tumapel Block O. IV No 17, Bogor, Indonesia; Faculty of Forestry, Bogor Agricultural University, Dramaga Bogor, Indonesia

Recommended Citation:
Manuri S.,Brack C.,Nugroho N.P.,et al. Tree biomass equations for tropical peat swamp forest ecosystems in Indonesia[J]. Forest Ecology and Management,2014-01-01,334
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