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"This monitoring plan for aquatic and riparian resources was developed in response to monitoring needs addressed in the Biological Opinions for bull trout (U.S. Department of the Interior, Fish and Wildlife Service 1998) and steelhead (U.S. Department of Commerce, National Marine Fisheries Service). It provides a consistent framework for implementing the effectiveness monitoring of aquatic and riparian resources within the range of the Pacific Anadromous Fish Strategy (PACFISH) and the Inland Fish Strategy (INFISH). The primary objective is to evaluate the effect of land management activities on aquatic and riparian communities at multiple scales and to determine whether PACFISH/INFISH manag...
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This true story is set in the Coachella Valley, the desert region best known for Palm Springs, California, a glamorous and sunny resort for the rich and famous, filled with emerald green golf courses, lakes, condominiums, and sunset-capped blue mountains. Yvonne Tevis here delineates the ongoing intense battle between developers and conservationists over how this precious land should be used. Basing her tale around the fight to save the habitat of an endangered species, the fringe-toed lizard, Tevis includes: interviews, maps, illustrations, notes, and a comprehensive bibliography, with valid arguments presented on both sides of the issue. A must read for all those concerned with protecting our environment.
Tests were conducted to evaluate variability among observers for riparian vegetation data collection methods and data reduction techniques. The methods are used as part of a largescale monitoring program designed to detect changes in riparian resource conditions on Federal lands. Methods were evaluated using agreement matrices, the Bray-Curtis dissimilarity metric, the coefficient of variation, the percentage of total variability attributed to observers, and estimates of the number of sites needed to detect change. Community type (CT) cover data differed substantially among the six to seven observers that sampled the same sites. The mean within-site similarity in the vegetation data ranged f...