详细信息
Remote sensing of variation of light use efficiency in two age classes of Douglas-fir ( SCI-EXPANDED收录 EI收录) 被引量:15
文献类型:期刊文献
英文题名:Remote sensing of variation of light use efficiency in two age classes of Douglas-fir
作者:Jia, Wen[1] Coops, Nicholas C.[2] Tortini, Riccardo[2,4] Pang, Yong[1] Black, T. Andrew[3]
第一作者:荚文
通信作者:Jia, W[1]|[a0005a08bc2e7a88d979e]荚文;
机构:[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Univ British Columbia, Fac Forest Resources Management, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada;[3]Univ British Columbia, Fac Land & Food Syst, 2357 Main Mall, Vancouver, BC V6T 1Z4, Canada;[4]Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90095 USA
年份:2018
卷号:219
起止页码:284-297
外文期刊名:REMOTE SENSING OF ENVIRONMENT
收录:;EI(收录号:20184305974511);Scopus(收录号:2-s2.0-85055037067);WOS:【SCI-EXPANDED(收录号:WOS:000450379200021)】;
基金:We acknowledge Zoran Nesic, Dominic Lessard, Andrew Hum and Rick Ketler from UBC Faculty of Land and Food Systems (LFS) for their assistance in technical design, installation, and maintenance of AMSPEC II and III. This research is partially funded by the Canadian Carbon Program, the Natural Sciences and Engineering Research Council of Canada (NSERC), and an NSERC -Accelerator grant to Nicholas Coops. Thanks to C. Vukovic and S. Mjaaland of Island Timberlands for provision of the 2011 LiDAR data gathered by TerraRemote, who also collected the orthophoto data. Wen Jia is supported by China Scholarship Council (CSC, http://www.csc.edu.cn).We thank Guoqing Sun, Ruiliang Pu, Qian Zhang and Xuan Guo for their constructive discussions in the revision. We also would like to thank our reviewers for their insightful reviews and comments on the manuscript.
语种:英文
外文关键词:LUE; PRI; AMSPEC; Remote sensing; Different age; Vertical structure; Airborne LiDAR; Douglas-fir; BRDF
摘要:Photosynthesis is a critical component to understanding how CO2 uptake and vegetation productivity drives the terrestrial carbon cycle. Light use efficiency (LUE) is a key indicator of photosynthesis, which is determined by the most limiting/co-limiting environmental stresses such as nutrition, water, and temperature, restraining the photochemical reaction process across both space and time due to remote sensing offers a capability to relate changes in LUE with changes in the spectral characteristics of leaves through the photochemical reflectance index (PRI). The PRI is a narrow waveband index that responds with changes in xanthophyll-induced absorption feature at 531 nm. It remains challenging, however, to upscale PRI from leaf to canopy and ultimately to the landscape level due to physiological and structural factors such as leaf angle distribution, leaf area, canopy structure and pigment pool size as well as observational considerations such as sun-view geometry and background reflectance. As a result, understanding patterns of PRI and LUE across different climate-induced stress conditions and within age-induced vertical stand structures is helpful for improving our understanding how these relationships change over forested landscapes in anticipation of future airborne and ultimately satellite based observations. In this study, we report on the use of the automated multi-angular spectro-radiometer (AMSPEC) and eddy-covariance techniques to examine how PRI and LUE varies at young (HDF88) and older (DF49) Douglas-fir sites. Results indicate that a strong relationship between bidirectional reflectance distribution function (BRDF) corrected PRI and LUE exists (DF49: R-2 = 0.73; HDF88: R-2 = 0.79). The overall LUE at the older, more structurally complex site was higher than at the younger, structurally simpler stand under a range of air temperature and light conditions. We used the standard deviation (SD) of light detection and ranging (LiDAR) return pulses to characterize canopy vertical structure of the site, and found that complex vertical structures (i.e., high SD) may contribute to a higher long-term averaged LUE (R-2 = 0.87). While interesting we conclude the mechanism of the relationship between LUE and vertical forest structures needs to be further explored because of the key role internal and external shadowing has on light regimes with stands and thus vertical patterns of LUE varying across forest stands of different age.
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