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Computer Research and Modeling, 2016, Volume 8, Issue 2, Pages 345–353
DOI: https://doi.org/10.20537/2076-7633-2016-8-2-345-353
(Mi crm149)
 

This article is cited in 1 scientific paper (total in 1 paper)

A modeling approach to estimate the gross and net primary production of forest ecosystems as a function of the fraction of absorbed photosynthetically active radiation

A. V. Olchev

A. N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences 33 Leninskiy Pr., Moscow, 119071, Russia
Full-text PDF (684 kB) Citations (1)
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Abstract: A simple non-linear model allowing to calculate daily and monthly GPP and NPP of forests using parameters characterizing the light-use efficiencies for GPP and NPP, and integral values of absorbed photosynthetically active radiation, obtained using field measurements and remotes sensing data was suggested. Daily and monthly GPP, NPP of the forest ecosystems were derived from the field measurements of the net eco-system exchange of $\rm CO_2$ in the spruce and tropical rain forests using a process-based Mixfor-SVAT model.
Keywords: gross and net primary production, tropical rainforests, spruce forests, SVAT model, light use efficiency, remote sensing.
Funding agency Grant number
Russian Science Foundation 14-27-00065
Received: 21.01.2016
Revised: 21.03.2016
UDC: 630.161.32
Language: Russian
Citation: A. V. Olchev, “A modeling approach to estimate the gross and net primary production of forest ecosystems as a function of the fraction of absorbed photosynthetically active radiation”, Computer Research and Modeling, 8:2 (2016), 345–353
Citation in format AMSBIB
\Bibitem{Olc16}
\by A.~V.~Olchev
\paper A modeling approach to estimate the gross and net primary production of forest ecosystems as a function of the fraction of absorbed photosynthetically active radiation
\jour Computer Research and Modeling
\yr 2016
\vol 8
\issue 2
\pages 345--353
\mathnet{http://mi.mathnet.ru/crm149}
\crossref{https://doi.org/10.20537/2076-7633-2016-8-2-345-353}
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  • https://www.mathnet.ru/eng/crm/v8/i2/p345
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
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    Abstract page:167
    Full-text PDF :139
    References:21
     
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