Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F16%3A00459194" target="_blank" >RIV/86652079:_____/16:00459194 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1002/2014JG002876" target="_blank" >http://dx.doi.org/10.1002/2014JG002876</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/2014JG002876" target="_blank" >10.1002/2014JG002876</a>

Result language

angličtina

Original language name

Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites

Original language description

Light use efficiency (LUE) models are widely used to simulate gross primary production (GPP). However, the treatment of the plant canopy as a big leaf by these models can introduce large uncertainties in simulated GPP. Recently, a two-leaf light use efficiency (TL-LUE) model was developed to simulate GPP separately for sunlit and shaded leaves and has been shown to outperform the big-leaf MOD17 model at six FLUX sites in China. In this study we investigated the performance of the TL-LUE model for a wider range of biomes. For this we optimized the parameters and tested the TL-LUE model using data from 98 FLUXNET sites which are distributed across the globe. The results showed that the TL-LUE model performed in general better than the MOD17 model in simulating 8 day GPP. Optimized maximum light use efficiency of shaded leaves (εmsh) was 2.63 to 4.59 times that of sunlit leaves (εmsu). Generally, the relationships of εmsh and εmsu with εmax were well described by linear equations, indicating the existence of general patterns across biomes. GPP simulated by the TL-LUE model was much less sensitive to biases in the photosynthetically active radiation (PAR) input than the MOD17 model. The results of this study suggest that the proposed TL-LUE model has the potential for simulating regional and global GPP of terrestrial ecosystems, and it is more robust with regard to usual biases in input data than existing approaches which neglect the bimodal within-canopy distribution of PAR.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EH - Ecology - communities

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Geophysical Research : Biogeosciences

ISSN

2169-8953

e-ISSN

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Volume of the periodical

36

Issue of the periodical within the volume

7

Country of publishing house

US - UNITED STATES

Number of pages

25

Pages from-to

2743-2760

UT code for WoS article

000378702800002

EID of the result in the Scopus database

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