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Towards a better spatial quantification of nitrogen deposition: A case study for Czech forests

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F16%3AN0000020" target="_blank" >RIV/00020699:_____/16:N0000020 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11310/16:10324705

  • Result on the web

    <a href="http://www.sciencedirect.com/science/article/pii/S0269749116300616" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0269749116300616</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.envpol.2016.01.061" target="_blank" >10.1016/j.envpol.2016.01.061</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Towards a better spatial quantification of nitrogen deposition: A case study for Czech forests

  • Original language description

    The quantification of atmospheric deposition flux is essential for assessment of its impact on ecosystems. We present an advanced approach for the estimation of the spatial pattern of atmospheric nitrogen deposition flux over the Czech forests, collating all available measured data and model results. The aim of the presented study is to provide an improved, more complete, more reliable and more realistic estimate of the spatial pattern of nitrogen deposition flux over one country. This has so far usually been based on measurements of ambient NOx concentrations as dry deposition proxy, and NH4+ and NO3- in precipitation as wet deposition proxy. For estimation of unmeasured species contributing to dry deposition, we used the CAMx Eulerian photochemical dispersion model, coupled with the Aladin regional numeric weather prediction model. The contribution of fog and dissolved organic nitrogen was estimated using a geostatistical data driven model. We prepared individual maps for particular components applying the most relevant approach and then merged all layers to obtain a final map representing the best estimate of nitrogen deposition over the Czech Republic. Final maps accounting for unmeasured species clearly indicate that the approach used so far may result in a substantial underestimation of nitrogen deposition flux. Our results showed that nitrogen deposition over the Czech forested area in 2008 was well above 2 g N m(-2) yr(-1), with almost 70% of forested area receiving 3-4 g N m(-2) yr(-1). NH3 and gaseous HNO3, contributing about 80%, dominated the dry nitrogen deposition. Estimating the unmeasured nitrogen species by modeled values provides realistic approximations of total nitrogen deposition that also result in more realistic spatial patterns that could be used as input for further studies of likely nitrogen impacts on ecosystems.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    DG - Atmospheric sciences, meteorology

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/QI112A168" target="_blank" >QI112A168: Forest soils as the determining factor for the forest health, biodiversity and the base for forest production as well as for nonproductive functions.</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Environmental Pollution

  • ISSN

    0269-7491

  • e-ISSN

  • Volume of the periodical

    213

  • Issue of the periodical within the volume

    JUN 2016

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    14

  • Pages from-to

    1028-1041

  • UT code for WoS article

    000377921800109

  • EID of the result in the Scopus database