Global variations and controlling factors of anammox rates

Soil anammox is an environmentally friendly way to eliminate reactive nitrogen (N) without generating nitrous oxide. Nevertheless, the current earth system models have not incorporated the anammox due to the lack of parameters in anammox rates on a global scale, limiting the accurate projection for N cycling. A global synthesis with 1212 observations from 89 peer-reviewed papers showed that the average anammox rate was 1.60 +/- 0.17 nmol N g(-1) h(-1) in terrestrial ecosystems, with significant variations across different ecosystems. Wetlands exhibited the highest rate (2.17 +/- 0.31 nmol N g(-1) h(-1)), followed by croplands at 1.02 +/- 0.09 nmol N g(-1) h(-1). The lowest anammox rates were observed in forests and grasslands. The anammox rates were positively correlated with the mean annual temperature, mean annual precipitation, soil moisture, organic carbon (C), total N, as well as nitrite and ammonium concentrations, but negatively with the soil C:N ratio. Structural equation models revealed that the geographical variations in anammox rates were primarily influenced by the N contents (such as nitrite and ammonium) and abundance of anammox bacteria, which collectively accounted for 42% of the observed variance. Furthermore, the abundance of anammox bacteria was well simulated by the mean annual precipitation, soil moisture, and ammonium concentrations, and 51% variance of the anammox bacteria was accounted for. The key controlling factors for soil anammox rates differed from ecosystem type, for example, organic C, total N, and ammonium contents in croplands, versus soil C:N ratio and nitrite concentrations in wetlands. The controlling factors in soil anammox rate identified by this study are useful to construct an accurate anammox module for N cycling in earth system models.

Automated summary

Soil anammox is an environmentally friendly method to remove reactive nitrogen without producing nitrous oxide. However, the lack of parameters for anammox rates on a global scale hinders its incorporation into earth system models, limiting accurate projections for nitrogen cycling.