Data for: Nitrogen deposition in forests: Statistical modeling of total deposition from throughfall loads
Data files
Dec 16, 2022 version files 54.56 KB
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README.md
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throughfalldata.csv
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Abstract
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.
This is a meta analysis of various datasets collected in European forests, with the author of the study given in the table.
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.
- Braun, Sabine et al. (2022), Nitrogen deposition in forests: Statistical modeling of total deposition from throughfall loads, Frontiers in Forests and Global Change, Journal-article, https://doi.org/10.3389/ffgc.2022.1062223
- Braun, Sabine et al. (2022), Data for: Nitrogen deposition in forests: Statistical modeling of total deposition from throughfall loads, , Article, https://doi.org/10.5281/zenodo.7440385
