globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2016.12.010
Scopus记录号: 2-s2.0-85007290540
论文题名:
Estimating the aboveground biomass in an old secondary forest on limestone in the Moluccas, Indonesia: Comparing locally developed versus existing allometric models
作者: Stas S.M.; Rutishauser E.; Chave J.; Anten N.P.R.; Laumonier Y.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2017
卷: 389
起始页码: 27
结束页码: 34
语种: 英语
英文关键词: Aboveground biomass ; Allometric model ; Destructive sampling ; Indonesia ; Limestone ; Secondary forest
Scopus关键词: Biodiversity ; Biomass ; Deforestation ; Ecology ; Ecosystems ; Limestone ; Vegetation ; Above ground biomass ; Allometric models ; Destructive sampling ; Indonesia ; Secondary forests ; Forestry
英文摘要: Deforestation and forest degradation are widespread in Indonesia and pose serious threats to biodiversity and other ecosystem services. The Indonesian government is implementing several Reduction of Emissions from Deforestation and Forest Degradation (REDD+) initiatives to help support the conservation of tropical forests, but the eastern part of Indonesia has yet to be included in this effort. Tropical forests growing on limestone are a prominent feature of that region, but little is known about their ecology and management, and only limited research has been conducted on biomass and the associated carbon storage capacity of these secondary forests. Here, we estimate the aboveground tree biomass (AGB) in an old secondary forest on limestone in Seram, the Moluccas, East Indonesia. We destructively sampled all aboveground vegetation in 0.04 ha forest and developed a local allometric model (n = 25; diameter-range of 10.4–41.7 cm). We tested and compared the performance of our locally developed model with existing local models and a recent pantropical model (Chave et al., 2014) at our site. Total AGB in the 1-ha forest plot was estimated at 177 Mg ha−1, of which 141 Mg ha−1 (80%) was allocated in trees ⩾10 cm diameter at breast height (dbh), 33 Mg ha−1 (19%) in trees <10 cm dbh and 2 Mg ha−1 (1%) in lianas and non-woody vegetation. Both our locally developed and the pantropical model estimated the biomass of harvested trees accurately (local model: bias = 0.1%, CV = 15.5%; pantropical model: bias = −7.7%, CV = 17.7%), while other local models had much lower performance (bias = −57.1 to −7.3%, CV = 59.2 to 75.8%). At plot-level, the AGB estimate of the pantropical model approached the estimate of our local model, while other local models considerably underestimated actual AGB. Together, our findings confirm that trees <10 cm dbh can store a large fraction of total AGB in secondary forests, and highlight the robustness of generic models. These results provide further guidance for accurate assessments of forest carbon stocks in Indonesia and more generally for REDD+ initiatives. © 2016 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/64472
Appears in Collections:影响、适应和脆弱性

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作者单位: Section of Ecology and Biodiversity, Institute of Environmental Biology, Utrecht University, PO Box 80084, TB Utrecht, Netherlands; Center for International Forestry Research (CIFOR), PO Box 0113 BOCBD, Bogor, Indonesia; French Agricultural Research Centre for International Development (CIRAD), UPR BSEF, F-34078, Montpellier, France; CarboForExpert (carboforexpert.ch), 1248 Hermance, Switzerland; Laboratoire Evolution et Diversité Biologique (EDB), UMR 5174 CNRS/UPS Bâtiment 4R1, 118, route de Narbonne, Toulouse, France; Centre for Crop Systems Analysis, Wageningen University, PO Box 430, Wageningen, Netherlands

Recommended Citation:
Stas S.M.,Rutishauser E.,Chave J.,et al. Estimating the aboveground biomass in an old secondary forest on limestone in the Moluccas, Indonesia: Comparing locally developed versus existing allometric models[J]. Forest Ecology and Management,2017-01-01,389
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