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The analyses of the net primary production due to regional and seasonal temperature differences in eastern China using the LPJ model

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  • Sun, Guodong
  • Mu, Mu

Abstract

A kind of temperature change scenario is supplied by the approach of conditional nonlinear optimal perturbation related to parameter (CNOP-P) to estimate the variation of the net primary production (NPP) in North–South transect of eastern China within a state-of-the-art Lund-Potsdam-Jena dynamical global vegetation model (LPJ DGVM). There are two traits for the kind of temperature change scenario. Firstly, the kind of temperature change scenario considers the regional and seasonal differences in North–South transect of eastern China. The character of the temperature change is similar to the observation data due to the observational constraint. Secondly, the kind of temperature change scenario causes the maximal possible impact on the simulated NPP to discuss the maximal uncertainty in the simulated NPP to the temperature change in North–South transect of eastern China. Other two kinds of temperature change scenarios are also applied to explain the above two traits and to analyze variations due to different kinds of temperature change scenarios.

Suggested Citation

  • Sun, Guodong & Mu, Mu, 2014. "The analyses of the net primary production due to regional and seasonal temperature differences in eastern China using the LPJ model," Ecological Modelling, Elsevier, vol. 289(C), pages 66-76.
    • Handle: RePEc:eee:ecomod:v:289:y:2014:i:c:p:66-76
    DOI: 10.1016/j.ecolmodel.2014.06.021
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    References listed on IDEAS

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    1. Guodong Sun & Mu Mu, 2013. "Understanding variations and seasonal characteristics of net primary production under two types of climate change scenarios in China using the LPJ model," Climatic Change, Springer, vol. 120(4), pages 755-769, October.
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