Citation:

Schwede, D., D. Simpson, J. Tan, J. Fu, F. Dentener, E. Du, AND W. de Vries. Spatial variation of modelled total, dry and wet nitrogen deposition to forests at global scale. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, 243:1287-1301, (2018). https://doi.org/10.1016/j.envpol.2018.09.084

Impact/Purpose:

This study examined nitrogen deposition to global forests using multiple modeling approaches. Results from the study show that using model output for forest-specific deposition can be very different from grid-average values which has implications for critical loads and other ecosystem assessments. In the U.S., critical loads exceedances are used to support the NOx /SOx secondary standards.

Description:

Forests are an important biome that covers about one third of the global land surface and provides important ecosystem services. Since atmospheric deposition of nitrogen (N) can have both beneficial and deleterious effects, it is important to quantify the amount of N deposition to forest ecosystems. Measurements of N deposition to the numerous forest biomes across the globe are scarce, so chemical transport models are often used to provide estimates of atmospheric N inputs to these ecosystems. We provide an overview of approaches used to calculate N deposition in commonly used chemical transport models. The Task Force on Hemispheric Transport of Air Pollution (HTAP2) study intercompared N deposition values from a number of global chemical transport models. Using a multi-model mean calculated from the HTAP2 deposition values, we map N deposition to global forests to examine spatial variations in total, dry and wet deposition. Highest total N deposition occurs in eastern and southern China, Japan, Eastern U.S. and Europe while the highest dry deposition occurs in tropical forests. The European Monitoring and Evaluation Program (EMEP) model predicts grid-average deposition, but also produces deposition by land use type allowing us to compare deposition specifically to forests with the grid-average value. We found that, for this study, differences between the grid-average and forest specific could be as much as a factor of two and up to more than a factor of five in extreme cases. This suggests that consideration should be given to using forest-specific deposition for input to ecosystem assessments such as critical loads determinations.

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