Published December 16, 2022 | Version v1
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Data for: Nitrogen deposition in forests: Statistical modeling of total deposition from throughfall loads

  • 1. Institute for Applied Plant Biology*
  • 2. Northwest German Forest Research Institute
  • 3. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
  • 4. IVL Swedish Environmental Research Institute
  • 5. Swiss Federal Institute for Forest, Snow and Landscape Research
  • 6. Czech Hydrometeorological Institute
  • 7. Federal Office for the Environment
  • 8. State Agency for Nature, Environment and Consumer Protection of North Rhine-Westphalia*

Description

Introduction: Nitrogen (N) gradient studies in some cases use N deposition in throughfall as measure of N deposition to forests. For evaluating critical loads of N, however, information on total N deposition is required, i.e., the sum of estimates of dry, wet and occult deposition.

Methods: The present paper collects a number of studies in Europe where throughfall and total N deposition were compared in different forest types. From this dataset a function was derived which allows to estimate total N deposition from throughfall N deposition.

Results: At low throughfall N deposition values, the proportion of canopy uptake is high and thus the underestimation of total deposition by throughfall N needs to be corrected. At throughfall N deposition values >20 kg N ha-1 yr-1 canopy uptake is getting less important.

Conclusions: This work shows that throughfall clearly underestimates total deposition of nitrogen. With the present data set covering large parts of Europe it is possible to derive a critical load estimate from gradient studies using throughfall data.

Notes

Rmd file can be accessed using R and reproduces the commands used to analyse the data. The PDF file gives a description to the steps involved. The two files belong together.

Funding provided by: Federal Office for the Environment, Bern, Switzerland*
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Additional details

Related works

Is source of
10.5061/dryad.2z34tmpqc (DOI)