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  • Articles: DFG German National Licenses  (2)
  • Carya  (1)
  • ecosystems  (1)
  • 1
    ISSN: 1573-5052
    Keywords: Canonical group correlation ; Carya ; Environmental parameters ; Forest ; Quercus species ; Tennessee
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary A new multivariate analytical technique, canonical group correlation (CGC) is developed to correlate abiotic and biotic characterization of communities. This technique is applied to the plant communities of a 97.5 ha oak-hickory watershed. This analysis has validated inferences drawn in earlier studies which used only species data. We have concluded that the dominant factors discriminating the four distinct types of vegetation which exist in the region being studied are age and slope position. Slope position is inferred to be correlated with a moisture gradient. This information is depicted by the location of the four community types in two canonical spaces. One space is determined by vegetational parameters (species composition), the other by environmental parameters. A linear transformation between the two spaces is derived. This transformation can be used to predict successional development.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Water, air & soil pollution 90 (1996), S. 71-82 
    ISSN: 1573-2932
    Keywords: ecological risk ; ecotoxicology ; populations ; ecosystems ; bioassays ; population-level endpoints
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract Results from toxicological bioassays can express the likely impact of environmental contamination on biochemical function, histopathology, development, reproduction and survivorship. However, justifying environmental regulatory decisions and management plans requires predictions of the consequent effects on ecological populations and communities. Although extrapolating the results of toxicity bioassays to potential effects on the ecosystem may be beyond the current scientific capacity of ecology, it is possible to make detailed forecasts at the level of a population. We give examples in which toxicological impacts are either magnified or diminished by population-dynamic phenomena and argue that ecological risk assessments should be conducted at a level no lower than the population. Although methods recently proposed by EPA acknowledge that ecological risk evaluations should reflect population-level effects, they adopt approaches from human health risk analysis that focus on individuals.
    Type of Medium: Electronic Resource
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