Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2017.11.040 |
Evaluation of alternative approaches for landscape-scale biomass estimation in a mixed-species northern forest | |
Hoover, Coeli M.1; Ducey, Mark J.2; Colter, R. Andy3; Yamasaki, Mariko1 | |
2018-02-01 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2018 |
卷号 | 409页码:552-563 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | There is growing interest in estimating and mapping biomass and carbon content of forests across large landscapes. LiDAR-based inventory methods are increasingly common and have been successfully implemented in multiple forest types. Asner et al. (2011) developed a simple universal forest carbon estimation method for tropical forests that reduces the amount of required field measurements. We tested this approach, along with standard regression and Random Forest modeling techniques, in a northern hardwood-dominated watershed in the White Mountains of New Hampshire. Additional objectives included assessing the effects of different inventory plot designs and GPS accuracy. The universal model performed poorly in this forested landscape due to the lack of a clear relationship between canopy height and stand basal area. Simple regression modeling also produced poor model fits; the Random Forest models produced somewhat better biomass predictions than either the universal or regression models, and had low predictive power as measured by le but root mean squared errors were comparable to those from other studies in complex forests. Effects of positional accuracy from survey vs. resource grade GPS units were slight, as were the effects of varying plot designs, although errors generally increased when larger basal area factors were used. |
英文关键词 | Aboveground biomass LiDAR Forest inventory |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000425578000055 |
WOS关键词 | OLD-GROWTH FORESTS ; ABOVEGROUND BIOMASS ; BIOPHYSICAL PROPERTIES ; LEAF-OFF ; LIDAR ; DENSITY ; CARBON ; CONIFER ; COMPLEX ; AREA |
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/23797 |
专题 | 气候变化 |
作者单位 | 1.US Forest Serv, USDA, Northern Res Stn, 271 Mast Rd, Durham, NH 03824 USA; 2.Univ New Hampshire, Dept Nat Resources & Environm, Durham, NH 03824 USA; 3.US Forest Serv, USDA, White Mt Natl Forest, Campton, NH 03223 USA |
推荐引用方式 GB/T 7714 | Hoover, Coeli M.,Ducey, Mark J.,Colter, R. Andy,et al. Evaluation of alternative approaches for landscape-scale biomass estimation in a mixed-species northern forest[J]. FOREST ECOLOGY AND MANAGEMENT,2018,409:552-563. |
APA | Hoover, Coeli M.,Ducey, Mark J.,Colter, R. Andy,&Yamasaki, Mariko.(2018).Evaluation of alternative approaches for landscape-scale biomass estimation in a mixed-species northern forest.FOREST ECOLOGY AND MANAGEMENT,409,552-563. |
MLA | Hoover, Coeli M.,et al."Evaluation of alternative approaches for landscape-scale biomass estimation in a mixed-species northern forest".FOREST ECOLOGY AND MANAGEMENT 409(2018):552-563. |
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