Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2018.11.017 |
Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem | |
Kamoske, Aaron G.1; Dahlin, Kyla M.2; Stark, Scott C.3; Serbin, Shawn P.4 | |
2019-02-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT
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ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2019 |
卷号 | 433页码:364-375 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Forest processes that play an essential role in carbon sequestration, such as light use efficiency, photosynthetic capacity, and trace gas exchange, are closely tied to the three-dimensional structure of forest canopies. However, the vertical distribution of leaf traits is not uniform; leaves at varying vertical positions within the canopy are physiologically unique due to differing light and environmental conditions, which leads to higher carbon storage than if light conditions were constant throughout the canopy. Due to this within-canopy variation, three-dimensional structural traits are critical to improving our estimates of global carbon cycling and storage by Earth system models and to better understanding the effects of disturbances on carbon sequestration in forested ecosystems. In this study, we describe a reproducible and open-source methodology using the R programming language for estimating leaf area density (LAD; the total leaf area per unit of volume) from airborne LiDAR. Using this approach, we compare LAD estimates at the Smithsonian Environmental Research Center in Maryland, USA, from two airborne LiDAR systems, NEON AOP and NASA G-LiHT, which differ in survey and instrument specifications, collections goals, and laser pulse densities. Furthermore, we address the impacts of the spatial scale of analysis as well as differences in canopy penetration and pulse density on LAD and leaf area index (LAI) estimates, while offering potential solutions to enhance the accuracy of these estimates. LAD estimates from airborne LiDAR can be used to describe the three-dimensional structure of forests across entire landscapes. This information can help inform forest management and conservation decisions related to the estimation of aboveground biomass and productivity, the response of forests to large-scale disturbances, the impacts of drought on forest health, the conservation of bird habitat, as well as a host of other important forest processes and responses. |
英文关键词 | Airborne LiDAR Leaf area density Leaf area index Forest structure |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000456902500037 |
WOS关键词 | CANOPY STRUCTURE ; IMAGING SPECTROSCOPY ; LIGHT TRANSMITTANCE ; SMALL-FOOTPRINT ; INDEX ; DISTURBANCE ; TRAITS ; GROWTH ; LAI ; PHOTOSYNTHESIS |
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/23509 |
专题 | 气候变化 |
作者单位 | 1.Michigan State Univ, Dept Geog Environm & Spatial Sci, 673 Auditorium Rd 116, E Lansing, MI 48824 USA; 2.Michigan State Univ, Program Ecol Evolutionary Biol & Behav, 103 Giltner Hall,293 Farm Lane 103, E Lansing, MI 48824 USA; 3.Michigan State Univ, Dept Forestry, 480 Wilson Rd 126, E Lansing, MI 48824 USA; 4.Brookhaven Natl Lab, Environm & Climate Sci Dept, 98 Rochester St, Upton, NY 11973 USA |
推荐引用方式 GB/T 7714 | Kamoske, Aaron G.,Dahlin, Kyla M.,Stark, Scott C.,et al. Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem[J]. FOREST ECOLOGY AND MANAGEMENT,2019,433:364-375. |
APA | Kamoske, Aaron G.,Dahlin, Kyla M.,Stark, Scott C.,&Serbin, Shawn P..(2019).Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem.FOREST ECOLOGY AND MANAGEMENT,433,364-375. |
MLA | Kamoske, Aaron G.,et al."Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem".FOREST ECOLOGY AND MANAGEMENT 433(2019):364-375. |
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