Riparian Condition Assessment Tool (R-CAT)
Welcome to the R-CAT website. The Riparian Condition Assessment Tool (R-CAT
) is a suite of stream network assessment tools. These tools are designed to delineate valley bottoms, assess riparian vegetation, evaluate floodplain condition and estimate recovery potential of riparian areas. The stream network models consist of the following: the Valley Bottom Extraction Tool (V-BET), Riparian Vegetation Departure (RVD) tool, Riparian Condition Assessment (RCA) tool and Riparian Recovery Potential (RRP) tool. These tools are intended to help researchers and managers assess riparian condition and recovery potential over large regions and watersheds.
models can be run with nationally available existing GIS datasets or high resolution landcover and DEM datasets.
- Gilbert, J.T, W.W Macfarlane, M.L. and J.M. Wheaton 2016. V-BET: A GIS tool for delineating valley bottoms across entire drainage networks. Computers and Geosciences 97:1-14. http://www.sciencedirect.com/science/article/pii/S0098300416301935
- Macfarlane, W.W., J.T. Gilbert, M.L. Jensen, J. D. Gilbert, N. Hough-Snee, P.A. McHugh, J.M. Wheaton, and S.N. Bennett 2017. Riparian vegetation
as an indicator of riparian condition: detecting departures from historic
condition across the North American West. Journal of Environmental Management. http://www.sciencedirect.com/science/article/pii/S0301479716308489
- In prep. Macfarlane, W.W.,
J.T. Gilbert, M.L., N. Hough-Snee, C. Saunders , C.W. Hafen, and
J.M. Wheaton. What is the condition of floodplain riparian areas of the western U.S.? Identifying impaired floodplain ecosystems using the Riparian Condition Assessment tool (RCA). For submission to Environmental Management.
Limitations of Outputs Driven with Nationally Available Data
The initial R-CAT analyses produce remarkably coherent results despite the resolution of nationally available inputs
. Currently, the Utah and the Columbia River Basin outputs have been produced with LANDFIRE
and the following limitations should be understood:
- LANDFIRE 30 meter vegetation data is sometimes too coarse to provide sufficient detail to adequately map riparian vegetation. LANDFIRE 30 meter vegetation data tends to underestimate the spatial extent of invasive riparian vegetation. - While higher resolution imagery is used in some localities to drive landcover and vegetation classifications, nothing yet exists that is freely and nationally available.
- Riparian condition is overestimated in incised and entrenched streams because incision and entrenchment are currently not considered in the Riparian Condition Assessment. - Incision is straightforward to identify through manual reconnaissance, and with the aide of higher resolution topography (not typically possible with 10 m NED).
- Riparian recovery potential tends to be overestimated because the model currently does not account for water diversions and dams that limit the recovery of riparian areas. - Most states do not have these data in a consistent format, much less at a national level.
Fortunately, all of the R-CAT models can be run with higher resolution vegetation data. We are happy to work with interested parties in applying the models with higher resolution data and extending the models to include incision and entrenchment calculations. In the meantime, driving the model with datasets like LANDFIRE; provides coherent, regionally consistent and robust estimates.
Interested In Helping?
If you are interested in helping us improve R-CAT please contact us. We view these R-CAT products
as a first iteration and as better input data is available the output products will improve proportionally.
The development of R-CAT was primarily initially funded by:
- The Bureau of Land Management (BLM),
- The Utah Department of Natural Resources, through the Utah Endangered Species Mitigation Fund (ESMF), and
- The Utah Division of Wildlife Resources (UDWR) through Pittman-Robertson Wildlife Restoration Act (PR) funds.
for application in the State of Utah.
RCAT is fully documented for those looking to apply the scripts or coders looking to extend the scripts. The current Python source code is open source and we have developed ArcGIS tool boxes. Source code is available on BitBucket