Coefficient of Conversatism for the Vascular Flora of the Dakotas and Adjacent Grasslands

Abstract

Floristic quality assessment can be used to identity natural areas, to facilitate comparisons among different sites, to provide long-term monitoring of natural area quality, and to evaluate habitat management and restoration efforts. To facilitate the use of floristic quality assessment in North Dakota, South Dakota (excluding the Black Hills), and adjacent grasslands, we developed a species list and assigned coefficients of conservatism (C values; range 0 to 10) to each plant species in the region's flora. The C values we assigned represented our collective knowledge of the patterns of occurrence of each plant species in the Dakotas and our confidence that a particular taxon is natural-area dependent. Because state boundaries usually do not follow ecological boundaries, the C values we assigned should be equally valid in nearby areas with the same vegetation types. Of the 1,584 taxa we recognized in this effort, 275 (17%) were determined to be nonnative to the region. We assigned C values of 4 or higher to 77% of our taxa, and the entire native flora had a mean C value (C) of 6.l. A floristic quality index (FQI) can be calculated to rank sites in order of their floristic quality. By applying the coefficients of conservatism supplied here and calculating C and FQI, an effective means of evaluating the quality of plant communities can be obtained. Additionally, by repeating plant surveys and calculations ofC and FQI over time, temporal changes in floristic quality can be identified.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA396082

Entities

Organizations

  • United States Fish and Wildlife Service

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Agriculture
  • Biological Sciences
  • Birds
  • Boundaries
  • Coefficients
  • Communities
  • Conservatism
  • Environmental Protection
  • Fungi
  • Habitats
  • Natural Resources
  • North Dakota
  • Plants
  • South Dakota
  • Vegetables
  • Vegetation
  • Wildlife

Fields of Study

  • Environmental science

Readers

  • Regression Analysis.
  • Wetland-Land-Environmental Management.