A national critical loads framework for atmospheric deposition effects assessment: IV. Model selection, applications, and critical loads mapping

George R. Holdren, Timothy C. Strickland, Bernard J. Cosby, David Marmorek, David Bernard, Robert Santore, Charles T. Driscoll, Linda Pardo, Carolyn Hunsaker, Robert S. Turner, John Aber

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

The critical loads approach is emerging as an attractive means for evaluating the effects of atmospheric deposition on sensitive terrestrial and aquatic ecosystems. Various approaches are available for modeling ecosystem responses to deposition and for estimating critical load values. These approaches include empirical and statistical relationships, steady-state and simple process models, and integrated-effects models. For any given ecosystem, the most technically sophisticated approach will not necessarily be the most appropriate for all applications; identification of the most useful approach depends upon the degree of accuracy needed and upon data and computational requirements, biogeochemical processes being modeled, approaches used for representing model results on regional bases, and desired degree of spatial and temporal resolution. Different approaches are characterized by different levels of uncertainty. If the limitations of individual approaches are known, the user can determine whether an approach provides a reasonable basis for decision making. Several options, including point maps, grid maps, and ecoregional maps, are available for presenting model results in a regional context. These are discussed using hypothetical examples for choosing populations and damage limits.

Original languageEnglish (US)
Pages (from-to)355-363
Number of pages9
JournalEnvironmental Management
Volume17
Issue number3
DOIs
StatePublished - May 1993

Keywords

  • Critical loads
  • Deposition standards
  • Modeling
  • Nitrate
  • Sulfate

ASJC Scopus subject areas

  • Global and Planetary Change
  • Ecology
  • Pollution

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