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  • air quality  (1)
  • forest soils  (1)
  • Ecosystems
  • Springer  (2)
  • 1
    ISSN: 1573-515X
    Keywords: forest soils ; leaf area index ; microbial biomass ; net primary productivity ; nitrogen availability ; nitrogen cycling ; remote sensing ; soil respiration
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Geosciences
    Notes: Abstract Eight forest sites representing a large range of climate, vegetation, and productivity were sampled in a transect across Oregon to study the relationships between aboveground stand characteristics and soil microbial properties. These sites had a range in leaf area index of 0.6 to 16 m2 m−2 and net primary productivity of 0.3 to 14 Mg ha−1 yr−1. Measurements of soil and forest floor inorganic N concentrations and in situ net N mineralization, nitrification, denitrification, and soil respiration were made monthly for one year. Microbial biomass C and anaerobic N mineralization, an index of N availability, were also measured. Annual mean concentrations of NH 4 + ranged from 37 to 96 mg N kg−1 in the forest floor and from 1.7 to 10.7 mg N kg−1 in the mineral soil. Concentrations of NO 3 − were low ( 〈 1 mg N kg−1) at all sites. Net N mineralization and nitrification, as measured by the buried bag technique, were low on most sites and denitrification was not detected at any site. Available N varied from 17 to 101 mg N kg−1, microbial biomass C ranged from 190 to 1230 mg Ckg−1, and soil respiration rates varied from 1.3 to 49 mg C kg−1 day−1 across these sites. Seasonal peaks in NH 4 + concentrations and soil respiration rates were usually observed in the spring and fall. The soils data were positively correlated with several aboveground variables, including leaf area index and net primary productivity, and the near infrared-to-red reflectance ratio obtained from the airborne simulator of the Thematic Mapper satellite. The data suggest that close relationships between aboveground productivity and soil microbial processes exist in forests approaching semi-equilibrium conditions.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Environmental monitoring and assessment 64 (2000), S. 81-91 
    ISSN: 1573-2959
    Keywords: air pollution ; air quality ; monitoring network ; mountainous regions ; multi-scale assessment ; spatial and temporal scales ; tropospheric ozone
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract A quantitatively robust yet parsimonious air-quality monitoring network in mountainous regions requires special attention to relevant spatial and temporal scales of measurement and inference. The design of monitoring networks should focus on the objectives required by public agencies, namely: 1) determine if some threshold has been exceeded (e.g., for regulatory purposes), and 2) identify spatial patterns and temporal trends (e.g., to protect natural resources). A short-term, multi-scale assessment to quantify spatial variability in air quality is a valuable asset in designing a network, in conjunction with an evaluation of existing data and simulation-model output. A recent assessment in Washington state (USA) quantified spatial variability in tropospheric ozone distribution ranging from a single watershed to the western third of the state. Spatial and temporal coherence in ozone exposure modified by predictable elevational relationships (∼ 1.3 ppbv ozone per 100 m elevation gain) extends from urban areas to the crest of the Cascade Range. This suggests that a sparse network of permanent analyzers is sufficient at all spatial scales, with the option of periodic intensive measurements to validate network design. It is imperative that agencies cooperate in the design of monitoring networks in mountainous regions to optimize data collection and financial efficiencies.
    Type of Medium: Electronic Resource
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