2 for RCP4.5 were between 1.9% and 15.4% increase in NPP per 100-ppmv CO2 before saturation, which is generally consistent with syntheses of free-air exchange CO2 enrichment (FACE) experiments (mean of 13% globally) (29). Thus, there is the need for FACE experiments in the northern permafrost region to better constrain model responses to enhance atmospheric CO2 in the region. In this study, the model with the least sensitivity (TEM6) was the only model in the sensitivity analysis for which C uptake was limited by plant N dynamics. Because the CO2 response of the northern permafrost region is expected to be damped by N limitation (30, 31), it is important for earth system models to make progress in implementing N limitation to more effectively constrain analyses of the permafrost carbon–climate feedback.
Although the response to CO2 fertilization is the primary reason for increases in C storage simulated by the models, models did exhibit substantial sensitivity of NPP to changes in air temperature. In recent decades, increasing temperatures appear to have increased plant biomass in tundra (32, 33), although some recent studies indicate that the long-term trend of greening in tundra may be experiencing a reversal in this decade (34, 35). Some analyses suggest that productivity in boreal forest regions has decreased in recent decades (36). It is important to recognize that there are some potentially important interactions of the NPP response to both changes in atmospheric CO2 and temperature. For example, models that include N dynamics can predict increases in NPP in response to warming because of increased nitrogen availability released as a consequence of increased HR in response to warming (37), which may work against the N limitation of NPP to enhanced atmospheric CO2. This response of NPP to enhanced N availability from soil warming occurs in TEM6, and is largely the reason why the model does not have as large a loss of soil C that would be expected because of N limitation to enhanced atmospheric CO2. In addition, warming may lengthen the growing season to allow vegetation to take up more CO2 from the atmosphere. Because the responses of ecosystem C among the models in this study depend substantially on the responses of NPP, which has a complicated response to changes in CO2 and temperature, it is important to better reconcile the NPP sensitivity of the models to changes in atmospheric CO2 and temperature with observation-based analyses of changes in productivity and biomass.
In general, the models indicate that HR is more sensitive to temperature change than NPP, and that HR is much more sensitive in the RCP8.5 simulations than the RCP4.5 simulations as more soil C becomes exposed to decomposition because of deeper permafrost https://datingranking.net/escort-directory/st-petersburg/ thaw. This variability in temperature sensitivity, combined with variability in CO2 sensitivity, leads to substantial uncertainty in the timing and magnitude of the permafrost carbon–climate feedback. Data to constrain the HR responses to warming have recently been synthesized (27). In addition, a recently introduced metric for soil C residence time may also help constrain the models (38).
not, it is vital to keep in mind that these types of syntheses primarily portray Deal with studies that have been presented within the temperate forest
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