DOI: 10.1002/2017JG004256
Scopus记录号: 2-s2.0-85046040202
论文题名: Forest Canopy Structural Complexity and Light Absorption Relationships at the Subcontinental Scale
作者: Atkins J.W. ; Fahey R.T. ; Hardiman B.H. ; Gough C.M.
刊名: Journal of Geophysical Research: Biogeosciences
ISSN: 21698953
出版年: 2018
卷: 123, 期: 4 起始页码: 1387
结束页码: 1405
语种: 英语
英文关键词: canopy structure
; LiDAR
; National Ecological Observatory Network fpar
; photosynthetically active radiation
; radiative transfer
Scopus关键词: absorption
; biogeochemical cycle
; complexity
; forest canopy
; lidar
; light scattering
; observatory
; photosynthetically active radiation
; prediction
; radiative transfer
; stand structure
; vegetation index
; United States
英文摘要: Understanding how the physical structure of forest canopies influences light absorption is a long-standing area of inquiry fundamental to the physical sciences, including the modeling and interpretation of biogeochemical cycles. Conventional measures of forest canopy structure used to infer canopy light absorption are often limited to leaf or vegetation area indexes. However, LiDAR-derived measures of canopy structural complexity (CSC) that describe the arrangement of vegetation may improve prediction of canopy light absorption by providing novel information on canopy-light interactions not regulated by leaf area alone. We measured multiple indexes of CSC, vegetation area index (VAI), and the fraction of photosynthetically active radiation absorbed (fPAR) across the eastern United States using portable canopy LiDAR to evaluate how different canopy structural attributes relate to fPAR. Our survey included sites from the National Ecological Observation Network and university field stations. Measures of CSC were more strongly coupled with fPAR under high light (>1,000 μmol m−2 s−1 PAR). Under low light conditions, when diffuse light predominates, light scattering weakens the dependency of fPAR on CSC. A multivariate model including CSC parameters and VAI explains ~89% of the intersite variance in fPAR, an improvement of over a VAI only linear model (r2 = 0.73). The inclusion of CSC metrics in canopy light absorption models could increase confidence in predictions of biogeochemical cycles and energy balance. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114158
Appears in Collections: 气候减缓与适应
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作者单位: Department of Biology, Virginia Commonwealth University, Richmond, VA, United States; Natural Resources and The Environment, University of Connecticut, Storrs, CT, United States; Forestry and Natural Resources and Environmental and Ecological Engineering, Purdue University, West Lafayette, IN, United States
Recommended Citation:
Atkins J.W.,Fahey R.T.,Hardiman B.H.,et al. Forest Canopy Structural Complexity and Light Absorption Relationships at the Subcontinental Scale[J]. Journal of Geophysical Research: Biogeosciences,2018-01-01,123(4)