rSPACE: spatially based power analysis for conservation and ecology

Item Metadata

Dublin Core

Title

rSPACE: spatially based power analysis for conservation and ecology

Description

Summary

  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.

Bibliographic Citation

Ellis, M. M., J. S. Ivan, J. M. Tucker, and M. K. Schwartz. 2015. rSPACE: Spatially based power analysis for conservation and ecology. Methods in Ecology and Evolution 6:621-625. https://doi.org/10.1111/2041-210X.12369

Creator

Ellis, Martha M.
Ivan, Jacob S.
Tucker, Jody M.
Schwartz, Michael K.

Subject

Detection probability
Occupancy estimation
Population monitoring
Population trends
Power analysis
Sampling design
Spatial simulation

Extent

5 pages

Date Created

2015-03-11

Type

Article

Format

application/pdf

Language

English

Is Part Of

Methods in Ecology and Evolution

Collection

Citation

Ellis, Martha M. et al., “rSPACE: spatially based power analysis for conservation and ecology,” CPW Digital Collections, accessed February 27, 2024, https://cpw.cvlcollections.org/items/show/276.