4.7 Article

An empirical inferential method of estimating nitrogen deposition to Mediterranean-type ecosystems: the San Bernardino Mountains case study

Journal

ENVIRONMENTAL POLLUTION
Volume 203, Issue -, Pages 69-88

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2015.03.028

Keywords

Nitrogen deposition; Complex terrain; Forests; Inferential deposition model; Critical loads

Funding

  1. National Science Foundation [DEB 04-21530, DEB 0919006]
  2. Fulbright-Schuman grant
  3. EDEN project [CGL2009-13188-C03-02]
  4. FP7 ECLAIRE project [EU-FP7-ENV-2011]

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The empirical inferential method (ELM) allows for spatially and temporally-dense estimates of atmospheric nitrogen (N) deposition to Mediterranean ecosystems. This method, set within a GIS platform, is based on ambient concentrations of NH3, NO, NO2 and HNO3; surface conductance of NH4+ and NO3-; stomatal conductance of NH3, NO, NO2 and HNO3; and satellite-derived LAI. Estimated deposition is based on data collected during 2002-2006 in the San Bernardino Mountains (SBM) of southern California. Approximately 2/3 of dry N deposition was to plant surfaces and 1/3 as stomatal uptake. Summer-season N deposition ranged from <3 kg ha(-1) in the eastern SBM to similar to 60 kg ha(-1) in the western SBM near the Los Angeles Basin and compared well with the throughfall and big-leaf micrometeorological inferential methods. Extrapolating summertime N deposition estimates to annual values showed large areas of the SBM exceeding critical loads for nutrient N in chaparral and mixed conifer forests. Published by Elsevier Ltd.

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