knitr::opts_chunk$set(echo = FALSE
                      , results = 'asis'
                      , warning = FALSE
                      , message = FALSE)

The BCGcalc Shiny app is a free R-based tool that calculates outputs for Biological Condition Gradient (BCG) models ( US EPA 2016 ; Figure 1). It is linked to the BCGcalc and BioMonTools
R packages, which were developed by Erik W. Leppo (Erik.Leppo@tetratech.com) from Tetra Tech and are available on GitHub.

This website was developed for biomonitoring programs in Oregon and Washington and calculates BCG model outputs for macroinvertebrate assemblages in freshwater wadeable streams in the Pacific Northwest Maritime Region (PNMR) (Figure 2). BCG model calibration is described in detail in Stamp 2022. Users can also calculate thermal preference metrics, a biodiversity index, and more. The user uploads input files to the website, which will generate the outputs without the use of R code. Those who prefer to work with R can download the R packages from the GitHub sites.

Click here to download example R scripts and data (all functions).

Funding

Development of the BCGcalc and BioMonTools R packages have been funded by the United States Environmental Protection Agency (EPA) Office of Office of Science and Technology (OST) (lead EPA OST scientist: Susan Jackson) and Office of Research and Development (ORD) (lead EPA ORD scientist: Britta Bierwagen).

Who to contact if you have problems, comments or questions

If you encounter problems with the Shiny app and/or have suggestions on ways to further improve it, please contact Erik W. Leppo from Tetra Tech via email (Erik.Leppo@tetratech.com) or via a post on the BCGcalc GitHub Discussions page.

For more information on this project, or on the BCG in general, please contact Susan Jackson (Jackson.Susank@epa.gov).

knitr::include_graphics("images/About_Fig1_PNMR_StudyArea.jpg")

Figure 2. The Biological Condition Gradient (BCG), modified from Davies and Jackson 2006. The BCG was developed to serve as a scientific framework to synthesize expert knowledge with empirical observations and develop testable hypotheses on the response of aquatic biota to increasing levels of stress.


Last updated 2022-10-13



leppott/BCGcalc documentation built on May 17, 2024, 5:55 p.m.