气候变化领域集成服务门户(CCPortal): Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem

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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 A.G.; Dahlin K.M.; Stark S.C.; Serbin S.P.
发表日期	2019
ISSN	0378-1127
起始页码	364
结束页码	375
卷号	433
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. © 2018 Elsevier B.V.
英文关键词	Airborne LiDAR; Forest structure; Leaf area density; Leaf area index
语种	英语
scopus关键词	Carbon capture; Ecosystems; NASA; Open source software; Optical radar; Airborne LiDAR; Environmental conditions; Environmental researches; Forest structure; Leaf area; Leaf Area Index; Management and conservations; Three-dimensional structure; Forestry; aboveground biomass; broad-leaved forest; carbon sequestration; climate modeling; conservation status; disturbance; drought; environmental conditions; forest canopy; forest ecosystem; forest management; landscape; leaf area index; lidar; satellite sensor; temperate forest; trace gas; vertical distribution; Area; Carbon; Chelation; Density; Ecosystems; Estimates; Forestry; Light; Maryland; United States; Aves
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156275
作者单位	Michigan State University, Department of Geography, Environment, & Spatial Sciences, 673 Auditorium Rd. #116, East Lansing, MI 48824, United States; Michigan State University, Program in Ecology, Evolutionary Biology, & Behavior, 103 Giltner Hall, 293 Farm Lane #103, East Lansing, MI 48824, United States; Michigan State University, Department of Forestry, 480 Wilson Rd #126., East Lansing, MI 48824, United States; Brookhaven National Laboratory, Environmental and Climate Sciences Department, 98 Rochester St, UptonNY 11973, United States
推荐引用方式 GB/T 7714	Kamoske A.G.,Dahlin K.M.,Stark S.C.,et al. Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem[J],2019,433.
APA	Kamoske A.G.,Dahlin K.M.,Stark S.C.,&Serbin S.P..(2019).Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem.Forest Ecology and Management,433.
MLA	Kamoske A.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).