Nitrogen (N) availability is tightly coupled to terrestrial carbon (C) cycle through stoichiometry and is therefore critical in regulating the feedback between the biosphere and climate change in the Earth system. Global land models are now routinely incorporating the nitrogen (N) cycle into simulations, but the identification of its benchmarks has lagged behind. One underlying mechanism in these models is that different N processes simultaneously compete for soil inorganic N (SIN). However, whether and how the SIN pool and its spatiotemporal variation can be used as benchmarks for models remains unclear. Here, we first constructed a database of measured SIN at 756 sites from 1980 to 2010 across China, one of the regions that has been experiencing the highest external N input. Then, we used the regional SIN database to evaluate two versions of the Community Land Model (i.e., CLM4.5 and CLM5.0).
Results/Conclusions
Although there was great spatial variability of the measured SIN pool, no significant changes were detected across China during 1980-2010 based on a bootstrapping approach. The medians of the measured SIN across China were 63 mg kg-1, 70 mg kg-1 and 65 mg kg-1 during the 1980s, 1990s and 2000s, respectively. In comparison with the observation (median 75 mg kg-1) at grid cell scale, both CLM4.5 (median 0.70 mg kg-1) and CLM5.0 (median 0.79 mg kg-1) underestimated the SIN pools across China. Although the drivers of such modeling biases are difficult to identify at the current stage, improved representations of both input and output processes of the SIN pool in the models are highly recommended. These findings suggest that a decadal stabilization of the SIN pool in terrestrial ecosystems, and the spatial distribution of the SIN pool may be a useful benchmark for global biogeochemical models.