Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. rSPACE: Spatially based power analysis for conservation and ecology

    Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): Martha M. Ellis; Jacob S. Ivan; Jody M. Tucker; Michael K. Schwartz
    Date: 2015
    Source: Methods in Ecology and Evolution. doi: 10.1111/2041-210X.12369.
    Publication Series: Scientific Journal (JRNL)
    Station: Rocky Mountain Research Station
    DOI: https://doi.org/10.1111/2041-210X.12369
    PDF: Download Publication  (473.43 KB)

    Description

    1.) Power analysis is an important step in designing effective monitoring programs to detect trends in plant or animal populations. Although project goals often focus on detecting changes in population abundance, logistical constraints may require data collection on population indices, such as detection/non-detection data for occupancy estimation. 2.) We describe the open-source R package, rSPACE, for implementing a spatially based power analysis for designing monitoring programs. This method incorporates information on species biology and habitat to parameterize a spatially explicit population simulation. A sampling design can then be implemented to create replicate encounter histories which are subsampled and analysed to estimate the power of the monitoring program to detect changes in population abundance over time, using occupancy as a surrogate. 3.) The proposed method and software are demonstrated with an analysis of wolverine monitoring in a U.S. Northern Rocky Mountain landscape. 4.) The package will be of use to ecologists interested in evaluating objectives and performance of monitoring programs.

    Publication Notes

    • You may send email to rmrspubrequest@fs.fed.us to request a hard copy of this publication.
    • (Please specify exactly which publication you are requesting and your mailing address.)
    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Ellis, Martha M.; Ivan, Jacob S.; Tucker, Jody M.; Schwartz, Michael K. 2015. rSPACE: Spatially based power analysis for conservation and ecology. Methods in Ecology and Evolution. doi: 10.1111/2041-210X.12369.

    Cited

    Google Scholar

    Keywords

    detection probability, occupancy estimation, population monitoring, population trends, power analysis, sampling design, spatial simulation

    Related Search

    XML: View XML
Show More
Show Fewer
Jump to Top of Page
https://www.fs.usda.gov/treesearch/pubs/47939