rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Development of lichen response indexes using a regional gradient modeling approach for large-scale monitoring of forests
  name:
    name part: Will-Wolf, Susan.
    role:
      role term: creator
  name:
    name part: Neitlich, Peter.
  name:
    name part: Pacific Northwest Research Station (Portland, Or.)
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: oru
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: 65 pages : illustrations, color maps ; 28 cm.
  abstract: Development of a regional lichen gradient model from community data is a powerful tool to derive lichen indexes of response to environmental factors for large-scale and long-term monitoring of forest ecosystems. The Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture Forest Service includes lichens in its national inventory of forests of the United States, to help monitor the status of forested ecosystems. Development of a model for a specific region to calculate lichen response indexes that are correlated with air quality and major climate factors, and are also independent of each other, is a critical step in achieving program goals. These indexes are the primary lichen bioindicators used in FIA for assessing regional patterns and monitoring trends of lichen response to environment over time. This general approach is also applicable to other monitoring efforts. A first step in the modeling process is to identify an appropriate geographic region for a model. Unconstrained ordination alone, or combined with indicator species analysis followed by regression analysis, are two approaches borrowed from plant ecology that have been shown to generate successful regional lichen gradient models. Calculation of lichen response indexes for new plots not part of the original model is necessary to support long-term monitoring. We explain the rationale for recommended approaches, describe in detail the recommended steps in the model development process, and explain how to document and evaluate results, all to support successful application of a model for monitoring. A template is included for documenting a model and archiving all products necessary to understand and apply it, as is required for each FIA model.
  note: Susan Will-Wolf and Peter Neitlich.
  note: Cover title.
  note: "September 2010."
  note: Also available on the World Wide Web.
  note: Includes bibliographical references (pages 42-48).
  subject:
    geographic code: n-us---
  subject:
    name:
      name part: Forest Inventory and Analysis Program (U.S.)
  subject:
    topic: Lichens
    topic: Monitoring
    geographic: United States
  subject:
    topic: Lichen communities
    topic: Monitoring
    geographic: United States
  subject:
    topic: Lichens
    topic: Effect of air pollution on
    geographic: United States
  subject:
    topic: Forest monitoring
    geographic: United States
  subject:
    topic: Forest health
    geographic: United States
    topic: Evaluation
  subject:
    topic: Forest biodiversity
    topic: Monitoring
    geographic: United States
  classification: A 13.88:PNW-GTR-807
  related item:
    title info:
      title: General technical report PNW ; 807
  identifier: http://www.fs.fed.us/pnw/pubs/pnw_gtr807.pdf
  related item:
    location:
      url: http://www.fs.fed.us/pnw/pubs/pnw_gtr807.pdf
  record info:
    record content source: ORE
    record creation date: 101108
    record change date: 20151202113453.0
    record identifier: in00002642313