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DOI | 10.1016/j.foreco.2018.01.016 |
Validation of allometric biomass models: How to have confidence in the application of existing models | |
Paul, Keryn I.1,2; Radtke, Philip J.3; Roxburgh, Stephen H.1,2; Larmour, John1,2; Waterworth, Robert4; Butler, Don5; Brooksbank, Kim6; Ximenes, Fabiano7 | |
2018-03-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2018 |
卷号 | 412页码:70-79 |
文章类型 | Article |
语种 | 英语 |
国家 | Australia; USA |
英文摘要 | The development of biomass estimation models is highly resource intensive as it generally entails harvesting (or excavating) trees of a range of sizes to determine dry weight of above-ground (or below-ground) biomass. To maximise the cost effectiveness of such sampling, guidance is required on whether an allometric model that already exists is suitable for a new site or species, or whether further sampling and model development is necessary. With the aim to provide such guidance, we collated 12 pairs of well-sampled (N > 50) data sets of the same species at two sites, or two species at the same site. These provided case studies for: (i) assessing alternative statistical approaches to validate the application of a model developed using one data set to predict biomass of independent data from another site or species, and (ii) applying scenario analyses to explore the impact of sample size on uncertainty of validation, e.g. minimising type I and type II errors. Our results indicate that although an allometric model for a given species or plant functional type may be applied across multiple sites, validation will be important when an existing generic multi-site and multi-species model is applied to a new species. Results obtained demonstrated that an independent sample size of N 15 frequently (37-46% of the time) provides insufficient power to avoid incorrectly accepting "validation" (type II errors). Hence, to ensure a useful outcome from resources spent in sampling biomass, it is recommended that at least 50 trees be sampled for each species. An equivalence test may then be applied to determine if the minimum detectable negligible difference between the existing model and the new independent data is < 25% (or whichever threshold is deemed acceptable). If so, the new data set may then be combined with existing data to refine a generalised model, which may then be applied with confidence. If not, then the resources expended need not be wasted as the sample size is sufficient to develop a new model suitable for application to the specific species sampled. |
英文关键词 | Allometry Above ground biomass Bias Carbon sequestration Eucalyptus Verification |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000427667700008 |
WOS关键词 | EQUIVALENCE ; TREE |
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/23466 |
专题 | 气候变化 |
作者单位 | 1.CSIRO Agr, GPO Box 1700, Canberra, ACT 2601, Australia; 2.CSIRO Land & Water, GPO Box 1700, Canberra, ACT 2601, Australia; 3.Virginia Tech, Forest Resources & Environm Conservat, 319E Cheatham Hall, Blacksburg, VA 24061 USA; 4.Mullion Grp, 2a Fitzroy Rd, Forrest, ACT 2603, Australia; 5.Queensland Dept Sci Informat Technol Innovat & Ar, Mt Coot Tha Rd, Toowong, Qld 4066, Australia; 6.Dept Agr & Food, Private Mail Bag 50, Esperance, WA 6450, Australia; 7.Dept Primary Ind, Locked Bag 5123, Parramatta, NSW 2150, Australia |
推荐引用方式 GB/T 7714 | Paul, Keryn I.,Radtke, Philip J.,Roxburgh, Stephen H.,et al. Validation of allometric biomass models: How to have confidence in the application of existing models[J]. FOREST ECOLOGY AND MANAGEMENT,2018,412:70-79. |
APA | Paul, Keryn I..,Radtke, Philip J..,Roxburgh, Stephen H..,Larmour, John.,Waterworth, Robert.,...&Ximenes, Fabiano.(2018).Validation of allometric biomass models: How to have confidence in the application of existing models.FOREST ECOLOGY AND MANAGEMENT,412,70-79. |
MLA | Paul, Keryn I.,et al."Validation of allometric biomass models: How to have confidence in the application of existing models".FOREST ECOLOGY AND MANAGEMENT 412(2018):70-79. |
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