文献类型：期刊文献

英文题名：Species and stand-age driven differences in photochemical reflectance index and light use efficiency across four temperate forests

作者：Lin, Shangrong[1,2,3] Coops, Nicholas C.[2] Tortini, Riccardo[2] Jia, Wen[4] Nesic, Zoran[5] Beamesderfer, Eric[6,7] Arain, M. Altaf[6,7] Li, Jing[1] Liu, Qinhuo[1]

第一作者：Lin, Shangrong

通信作者：Coops, NC[1]

机构：[1]State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China;[2]Univ British Columbia, Fac Forestry, Dept Forest Resources Management, 2424 Main Mall, Columbia, BC V6T 1Z4, Canada;[3]Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Guangdong, Peoples R China;[4]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[5]Univ British Columbia, Fac Land & Food Syst, Vancouver, BC, Canada;[6]McMaster Univ, Sch Earth Environm & Soc, 1280 Main St, West Hamilton, ON L8S 4K1, Canada;[7]McMaster Univ, McMaster Ctr Climate Change, 1280 Main St, West Hamilton, ON L8S 4K1, Canada

年份：2021

卷号：98

外文期刊名：INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION

收录：;Scopus(收录号：2-s2.0-85120712401);WOS:【SCI-EXPANDED(收录号:WOS:000627070600001)】；

基金：The AMSPEC installation and operation was funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) through a grant to Nicholas C. Coops (RGPAS 44603613) . Selected instrumentation was also supported by NSERC and CFI. Flux measurements at the Turkey Point flux station were supported by the NSERC, Global Water Futures (GWF) Program and the Ontario Ministry of Environment, Parks and Conservation (MOEPC) grants. We are grateful to Prof. Andrew Black (Biometeorology Group, Faculty of Land and Food Systems, University of British Columbia) for his support in developing the system. Shangrong Lin is supported by China Scholarship Council (CSC, htt p:// www.csc.edu.cn) . We will forever be grateful to Thomas Hilker (19762016) . His generosity and passion for science inspired all of us.

语种：英文

外文关键词：Carbon dynamics; Carbon flux; Multi-angular remote sensing; AMSPEC-III

摘要：Photosynthetic light use efficiency (LUE) determines the ability of a plant to assimilate atmospheric carbon dioxide to biomass and is known to be controlled by environmental conditions, light regimes and forest age. The photochemical reflectance index (PRI), derived from leaf or canopy remotely sensed spectra, has been shown to be an effective and accurate estimator of LUE. In this study, we propose a new LUE estimation method that separates the PRI into daily maximal PRI (PRIO) for indicating daily maximal light use efficiency (LUEmax) and Delta PRI, defined as the difference between PRIO and instantaneous PRI, for estimating the diurnal physiological stress (fstress). We develop and apply the method across three temperate pine stands and a deciduous stand of different ages, in Southern Ontario, Canada. Half hourly canopy level spectra were acquired from a tower-based spectro-radiometer system (AMSPEC-III) over the growing season at the four stands. Results show that the PRIG predicted well LUEmax (R-2 > 0.6, p < 0.05) in both coniferous and deciduous stands and was able to track seasonal changes in pigment pools sizes. The Delta PRI was sensitive to short-term meteorological conditions, specifically temperature, vapor pressure deficit (VPD), and light variations resulting in strong correlations (p < 0.05) with fstress and half hourly LUE. This new method significantly improves the estimation accuracy (R(2 )increases from 0.1 to around 0.7) for PRI-based LUE estimation across all four stands of varying age and species composition and suggests that PRI-based LUE estimation has the ability to inform on both the effects of seasonal and diurnal change in photosynthetic efficiency under different meteorological conditions.