A Landscape Similarity Index: Multitemporal Remote Sensing to Track Changes in Big Sagebrush Ecological Sites

Abstract

A similarity index for big sagebrush ecological sites was developed in northern Utah. In contrast to field measurements used to
calculate similarity to reference states, our approach relies on the utilization of historic archives of satellite imagery to measure
the ecological distance to benchmarks of undesired conditions such as invasion by exotic annuals and woodland encroachment.
Our benchmarks consisted of locations for which there are field data collected for monitoring and evaluation purposes for
several time periods. We utilized a temporal series of Landsat thematic mapper (TM) imagery that spanned 1984 to 2008 from
which the soil-adjusted vegetation index (SAVI) and other transformations were extracted. Topographic and climatic variables
were also included as ancillary data. Multidimensional scaling (MDS) was used to obtain scores in reduced ordination space for
two periods of interest: 1984–1996 and 1997–2008. Interannual SAVI mean-variance plots provided evidence that the
benchmarks and ecological sites have a distinct temporal response that allows an objective comparison. Our MDS results also
show that natural clusters can be identified in the reduced statistical space for ecological sites that are a dominant component of
a soil map unit. The two MDS solutions allowed the ordination of ecological sites in two gradients of productivity and bare
ground. Interpretations of the transitions and trajectories of mountain, Wyoming, and basin big sagebrush sites correlated well
with the ecological expectation. We anticipate that range conservationists and others actively working in rangeland evaluation
can use this application to develop and update ecological site descriptions and state-and-transition models from a remotely
sensed perspective.

Key Words: ecological site descriptions, invasive plants, multidimensional scaling, remote sensing, similarity index