Evidence map›Paper›PMID 30267923›Full record

ArticleEnvironmental pollution (Barking, Essex : 1987)2018

Spatial variation of modelled total, dry and wet nitrogen deposition to forests at global scale.

Donna B Schwede, David Simpson, Jiani Tan, Joshua S Fu, Frank Dentener, Enzai Du, Wim deVries

Abstract read
In one paragraph

Article in Environmental pollution (Barking, Essex : 1987), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  12. Atmospheric Organic Nitrogen Deposition in Strategic Water Sources of China after COVID-19 Lockdown.International journal of environmental research and public health · 2022
    Article
  13. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Donna B SchwedeNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, United States. Electronic address: Schwede.donna@epa.gov.
David SimpsonEMEP MSC-W, Norwegian Meteorological Institute, Oslo, Norway; Dept. Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden.
Jiani TanDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, 37996, USA.
Joshua S FuDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, 37996, USA.
Frank DentenerEuropean Commission, Joint Research Centre, Ispra, Italy.
Enzai DuState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Wim deVriesWageningen University and Research, Environmental Research, PO Box 47, NL-6700 AA, Wageningen, the Netherlands; Wageningen University and Research, Environmental Systems Analysis Group, PO Box 47, NL-6700 AA, Wageningen, the Netherlands.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

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.

Indexed as

ForestsAir PollutantsAir PollutionChinaEcosystemEnvironmental MonitoringEuropeJapanNitrogenTreesAir PollutantsNitrogenDry depositionForest biomesModelling approachNitrogen depositionWet deposition

Identifiers

PMID30267923
PMCPMC7050289

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.