Abstract
Climate change, particularly global warming, is significantly affected by atmospheric CO2 dynamics. Plant photosynthesis is capable of fixing a large amount of airborne CO2 and converts it into vegetation biomass and thus alleviates the greenhouse effect from atmospheric CO2. However, how climate change and climate condition impact the dynamics of plant photosynthesis is still highly uncertain. Here we combined high frequency land surface measurements of photosynthetic CO2 fixation data and information theory to understand the casual relationship from climate drivers on the photosynthesis rate. We found that temperature and shortwave radiation dominated photosynthesis more at forest site, while precipitation dominated photosynthesis more at grass land site. More importantly, linear regression based analysis failed to identify such relationships, which confirmed the important role of information theory in identifying nonlinear relationship within a complex system.
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