Characterization of the Ecological Integrity of Commercially Grazed Rangelands Using Remote-Sensing-Based Ecological Indicators
Document Type
Contribution to Book
Journal/Book Title/Conference
Proceedings from the 6th International Rangeland Congress
Publisher
United States Environmental Protection Agency
Publication Date
1-1-1992
First Page
778
Last Page
780
Abstract
The purpose of this research is to conduct a retrospective assessment of the ecological integrity of a semi-arid landscape subject to commercial livestock grazing. We acquired 27 years of wet and dry season Landsat satellite imagery and combined this with site biological, physical, and administrative characteristics (including historical and current ranch management records) in a Geographic Information System (GIS). A multiple-time by nested multiple-scale experimental design was used to establish causal links between remote-sensing-based ecological indicators, which were diagnostic of rangeland degradation, and management interventions. Rangeland degradation was defined as: (i) a change in plant species composition, contrary to management goals; (ii) a de- crease in plant productivity; (iii) a reduction in soil quality; (iv) accelerated soil erosion; and (v) a change in landscape composition and pattern that affect ecosystem functions. Composition and pattern refer to the spatial organization of ecosystem characteristics when viewed as patches within a mosaic, e.g. a shrub vegetation patch within a bare soil and grassland mosaic (Ludwig & Tongway 1995). Remote- sensing-based measurement indicators de- rived from these five characteristics provide a diagnostic basis for an estimate of the degree of land degradation. In this paper, we present a study which focused on characterization of the ecological resilience of an 88000 ha commercial livestock ranch.
Recommended Citation
Washington-Allen, Robert A.; West, Neil E.; Ramsey, R. Douglas; and Hunsaker, Carolyn T., "Characterization of the Ecological Integrity of Commercially Grazed Rangelands Using Remote-Sensing-Based Ecological Indicators" (1992). Wildland Resources Faculty Publications. Paper 3220.
https://digitalcommons.usu.edu/wild_facpub/3220