Improving ecophysiological simulation models to predict the impact of elevated atmospheric CO(2) concentration on crop productivity.

ABSTRACT:

Background

Process-based ecophysiological crop models are pivotal in assessing responses of crop productivity and designing strategies of adaptation to climate change. Most existing crop models generally over-estimate the effect of elevated atmospheric [CO2], despite decades of experimental research on crop growth response to [CO2].

Analysis

A review of the literature indicates that the quantitative relationships for a number of traits, once expressed as a function of internal plant nitrogen status, are altered little by the elevated [CO2]. A model incorporating these nitrogen-based functional relationships and mechanisms simulated photosynthetic acclimation to elevated [CO2], thereby reducing the chance of over-estimating crop response to [CO2]. Robust crop models to have s

SUBMITTER: Yin X 

PROVIDER: S-EPMC3718207 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature