Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2016.12.010 |
Estimating the aboveground biomass in an old secondary forest on limestone in the Moluccas, Indonesia: Comparing locally developed versus existing allometric models | |
Stas, Suzanne M.1,2,7; Rutishauser, Ervan3,4,8; Chave, Jerome5; Anten, Niels P. R.1,6; Laumonier, Yves2,3 | |
2017-04-01 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT
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ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2017 |
卷号 | 389 |
文章类型 | Article |
语种 | 英语 |
国家 | Netherlands; Indonesia; France; Switzerland; England; Panama |
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. (C) 2016 Elsevier B.V. All rights reserved. |
英文关键词 | Aboveground biomass Destructive sampling Allometric model Secondary forest Limestone Indonesia |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000398868800003 |
WOS关键词 | SOUTHEAST-ASIAN BIODIVERSITY ; TROPICAL KARST TERRAIN ; WEST MALAYSIA ; WOOD DENSITY ; RAIN-FORESTS ; ECOLOGICAL OBSERVATIONS ; CARBON STOCKS ; TREES ; EQUATIONS ; HEIGHT |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/23764 |
专题 | 气候变化 |
作者单位 | 1.Univ Utrecht, Inst Environm Biol, Sect Ecol & Biodivers, POB 80084, NL-3508 TB Utrecht, Netherlands; 2.Ctr Int Forestry Res CIFOR, POB 0113, Bogor 16000, Indonesia; 3.UPR BSEF, French Agr Res Ctr Int Dev CIRAD, F-34078 Montpellier, France; 4.CarboForExpert Carboforexpert Ch, CH-1248 Hermance, Switzerland; 5.UMR 5174 CNRS UPS, Lab Evolut & Diversite Biol EDB, Batiment 4R1,118 Route Narbonne, F-31062 Toulouse, France; 6.Wageningen Univ, Ctr Crop Syst Anal, POB 430, NL-6700 AK Wageningen, Netherlands; 7.Univ Leeds, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England; 8.Smithsonian Trop Res Inst, Apartado 0843-03092, Balboa, Panama |
推荐引用方式 GB/T 7714 | Stas, Suzanne M.,Rutishauser, Ervan,Chave, Jerome,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,2017,389. |
APA | Stas, Suzanne M.,Rutishauser, Ervan,Chave, Jerome,Anten, Niels P. R.,&Laumonier, Yves.(2017).Estimating the aboveground biomass in an old secondary forest on limestone in the Moluccas, Indonesia: Comparing locally developed versus existing allometric models.FOREST ECOLOGY AND MANAGEMENT,389. |
MLA | Stas, Suzanne M.,et al."Estimating the aboveground biomass in an old secondary forest on limestone in the Moluccas, Indonesia: Comparing locally developed versus existing allometric models".FOREST ECOLOGY AND MANAGEMENT 389(2017). |
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