Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2018.06.004 |
Assessing terrestrial laser scanning for developing non-destructive biomass allometry | |
Stovall, Atticus E. L.1,2; Anderson-Teixeira, Kristina J.2,3; Shugart, Herman H.1 | |
2018-11-01 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT
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ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2018 |
卷号 | 427页码:217-229 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Panama |
英文摘要 | Forests provide essential ecosystem services and hold approximately 45% of global terrestrial carbon. Estimates of the quantity and spatial distribution of global forest carbon are built on the assumption that regional- or national-scale allometry accurately captures growth form across the wide spectrum of plant size. Allometry is painstaking and costly to create: trees must be cut, dried, and weighed, over the span of months. This bottleneck has left most equations low in sample size and without large trees (>50 cm), which can contain over 40% of aboveground carbon. Terrestrial laser scanning (TLS) can potentially increase the range and sample size of allometric equations through non-destructive biomass estimation and must be evaluated in this context. We deployed TLS at the Center for Tropical Forest Science - Forest Global Earth Observatory (CTFS-ForestGEO) plot in Front Royal, Virginia and virtually reconstructed 329 trees with diameters up to 123 cm. Three-dimensional tree models were the basis for 22 local allometric relationships for comparison to the Jenkins et al. (2003) and Chojnacky et al. (2014) equations. Overall, TLS allometry had lower RMSE and predicted higher tree-level biomass compared to the equivalent national equations. We evaluated site-wide allometry for errors from insufficient sample size and diameter range. Allometric equations did not stabilize to a consistent set of parameters until 100-200 samples were reached and exclusion of large trees severely limited prediction accuracy. This work implies that current biomass equations may be inadequate and highlights TLS stem modeling as an appropriate method of non-destructive allometric equation development for updating allometry and reducing uncertainty in landscape-level biomass estimates. |
英文关键词 | Carbon Scaling theory Quantitative structure models Terrestrial LiDAR Forest structure Sample size Large trees |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000440775600025 |
WOS关键词 | ABOVEGROUND BIOMASS ; UNITED-STATES ; TREE BIOMASS ; FOREST STRUCTURE ; CARBON-DENSITY ; WOOD DENSITY ; MODELS ; EQUATIONS ; LIDAR ; PREDICTION |
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/23405 |
专题 | 气候变化 |
作者单位 | 1.Univ Virginia, Dept Environm Sci, Charlottesville, VA 22903 USA; 2.Natl Zool Pk, Smithsonian Conservat Biol Inst, Conservat Ecol Ctr, Front Royal, VA USA; 3.Smithsonian Trop Res Inst, Ctr Trop Forest Sci, Forest Global Earth Observ, Panama City, Panama |
推荐引用方式 GB/T 7714 | Stovall, Atticus E. L.,Anderson-Teixeira, Kristina J.,Shugart, Herman H.. Assessing terrestrial laser scanning for developing non-destructive biomass allometry[J]. FOREST ECOLOGY AND MANAGEMENT,2018,427:217-229. |
APA | Stovall, Atticus E. L.,Anderson-Teixeira, Kristina J.,&Shugart, Herman H..(2018).Assessing terrestrial laser scanning for developing non-destructive biomass allometry.FOREST ECOLOGY AND MANAGEMENT,427,217-229. |
MLA | Stovall, Atticus E. L.,et al."Assessing terrestrial laser scanning for developing non-destructive biomass allometry".FOREST ECOLOGY AND MANAGEMENT 427(2018):217-229. |
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