Performance of Linear and Nonlinear Two-Leaf Light Use Efficiency Models at Different Temporal Scales
department or school: Land and Food Systems, Faculty of
department or school: Non UBC
data provider: DSpace
identifier citation: Remote Sensing 7 (3): 2238-2278 (2015)
creator: Wu, Xiaocui
creator: Ju, Weimin
creator: Zhou, Yanlian
creator: He, Mingzhu
creator: Law, Beverly E.
creator: Black, T. Andrew
creator: Margolis, Hank A.
creator: Cescatti, Alessandro
creator: Gu, Lianhong
creator: Montagnani, Leonardo
creator: Noormets, Asko
creator: Griffis, Timothy J.
creator: Pilegaard, Kim
creator: Varlagin, Andrej
creator: Valentini, Riccardo
creator: Blanken, Peter D.
creator: Wang, Shaoqiang
creator: Wang, Huimin
creator: Han, Shijie
creator: Yan, Junhua
creator: Li, Yingnian
creator: Zhou, Bingbing
creator: Liu, Yibo
issued: 2019-05-22T18:23:27Z
issued: 2015-02-25
description: The reliable simulation of gross primary productivity (GPP) at various spatial and temporal scales is of significance to quantifying the net exchange of carbon between terrestrial ecosystems and the atmosphere. This study aimed to verify the ability of a nonlinear two-leaf model (TL-LUEn), a linear two-leaf model (TL-LUE), and a big-leaf light use efficiency model (MOD17) to simulate GPP at half-hourly, daily and 8-day scales using GPP derived from 58 eddy-covariance flux sites in Asia, Europe and North America as benchmarks. Model evaluation showed that the overall performance of TL-LUEn was slightly but not significantly better than TL-LUE at half-hourly and daily scale, while the overall performance of both TL-LUEn and TL-LUE were significantly better (p < 0.0001) than MOD17 at the two temporal scales. The improvement of TL-LUEn over TL-LUE was relatively small in comparison with the improvement of TL-LUE over MOD17. However, the differences between TL-LUEn and MOD17, and TL-LUE and MOD17 became less distinct at the 8-day scale. As for different vegetation types, TL-LUEn and TL-LUE performed better than MOD17 for all vegetation types except crops at the half-hourly scale. At the daily and 8-day scales, both TL-LUEn and TL-LUE outperformed MOD17 for forests. However, TL-LUEn had a mixed performance for the three non-forest types while TL-LUE outperformed MOD17 slightly for all these non-forest types at daily and 8-day scales. The better performance of TL-LUEn and TL-LUE for forests was mainly achieved by the correction of the underestimation/overestimation of GPP simulated by MOD17 under low/high solar radiation and sky clearness conditions. TL-LUEn is more applicable at individual sites at the half-hourly scale while TL-LUE could be regionally used at half-hourly, daily and 8-day scales. MOD17 is also an applicable option regionally at the 8-day scale.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/70270
note: Remote Sens. 2015, 7, 2238-2278; doi:10.3390/rs70302238 remote sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Performance of Linear and Nonlinear Two-Leaf Light Use Efficiency Models at Different Temporal Scales Xiaocui Wu 1,2, Weimin Ju 1,2,*, Yanlian Zhou 3, Mingzhu He 4, Beverly E. Law 5, T. Andrew Black 6, Hank A. Margolis 7, Alessandro Cescatti 8, Lianhong Gu 9, Leonardo Montagnani 10,11, Asko Noormets 12, Timothy J. Griffis 13, Kim Pilegaard 14, Andrej Varlagin 15, Riccardo Valentini 16, Peter D. Blanken 17, Shaoqiang Wang 18, Huimin Wang 18, Shijie Han 19, Junhua Yan 20, Yingnian Li 21, Bingbing Zhou 3 and Yibo Liu 22 1 International Institute for Earth System Science, Nanjing University, Nanjing 210023, China; E-Mail: Xiaocui.Wu.1005@gmail.com 2 Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing 210023, China 3 School of Geographic and Oceanographic Science, Nanjing University, Nanjing 210023, China; E-Mails: Zhouyl@nju.edu.cn (Y.L.); zbb_nju@163.com (B.B.) 4 Numerical Terradynamic Simulation Group, the University of Montana, Missoula, MT 59812, USA; E-Mail: Mingzhu.he@ntsg.umt.edu 5 College of Forestry, Oregon State University, Corvallis, OR 97331, USA; E-Mail: bev.law@oregonstate.edu 6 Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; E-Mail: andrew.black@ubc.ca 7 Center ďÉtude de la Forêt, Laval University, Quebec City, QC G1V 0A6, Canada; E-Mail: Hank.Margolis@sbf.ulaval.ca 8 Institute for Environment and Sustainability, Joint Research Center, European Commission, 20127 Ispra, Italy; E-Mail: alessandro.cescatti@jrc.ec.europa.eu 9 Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA; E-Mail: lianhong-gu@ornl.gov 10 Forest Services, Autonomous Province of Bolzano, Via Brennero 6, 39100 Bolzano, Italy; E-Mail: leonar@inwind.it 11 Faculty of Science and Technology, Free University of Bolzano, P…
has type: Article
is shown at: 10.14288/1.0378910
language: eng
peer review status: Reviewed
provider: Vancouver : University of British Columbia Library
publisher: Multidisciplinary Digital Publishing Institute
publisher DOI: 10.3390/rs70302238
rights: CC BY 4.0
rights URI: https://creativecommons.org/licenses/by/4.0/
scholar level: Faculty
subject: Gross primary productivity (GPP)
subject: Light use efficiency model
subject: Sunlit and shaded leaves
subject: Vegetation types
subject: Temporal scales
type: Text
identifier URI: http://hdl.handle.net/2429/70270