newtheoryfornutrientcompeon,$ plant$traits,$and$improved
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New Theory for Nutrient Compe22on, Plant Traits, and Improved Advec2on
Improves ALM W.J. Riley, B. Ghimire, Q. Zhu, J.Y. Tang, C.D. Koven
• N and P are important controllers of terrestrial C-‐climate feedbacks
• Current representaHons in ALM are poorly tested and numerically problemaHc
• Here, we synthesize results from three recently submiOed ACME-‐supported publicaHons:
• Using a new method to represent mulH-‐nutrient and mulH-‐consumer interacHons (ECA)
• PrognosHc leaf traits that control photosynthesis • Plant root nutrient uptake traits • Improved advecHve flux calculaHons
• These advances lead to improved esHmates of global carbon exchanges, NO3
-‐ leaching, and N2O gas emissions.
Objective
• Equilibrium Chemistry Approximation application for nutrient constraints (Tang and Riley 2013)
• Comparison with experimental manipulations and global observations using ILAMB
• Improved advective transport calculation
Approach
• Global GPP biases reduced by 65% • Improved ALM captures N and P
addiHon experiments • The parHHoning of ecosystem N losses
to N2O and NO3-‐ has been dramaHcally
improved • Improvements depend on improved
representaHons of nutrient compeHHon and advecHve fluxes
Impact
Ghimire, B., W. J. Riley, and C. D. Koven (2015a), submi&ed Biogeosciences. Zhu, Q., and W. J. Riley (2015), submi&ed Nature Climate Change. Zhu, Q., W. J. Riley, J. Y. Tang, and C. D. Koven (2015), Biogeosciences Discussion, 12,
4057-‐4106.
Figure. Global GPP bias reduced by 65%. Energy and water variables also improved (Ghimire et al., submi@ed Biogeosciences).
Figure. N losses in CLM4 and CLM4.5 shown to be poorly predicted by Houlton et al. (2015). Improved compeLLon and advecLon dramaLcally improves N loss predicLons (Zhu and Riley, submi@ed Nature Climate Change).
Figure. ECA accurately predicts N and P ferLlizaLon responses in tropical systems (Zhu et al. 2015, Biogeosciences D)