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"University of California Natural Reserve System"
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The environmental legacy of the UC natural reserve system
by
Fiedler, Peggy L
,
Rumsey, Susan Gee
,
Wong, Kathleen M
in
California
,
Ecology
,
Ecology & Evolutionary Biology
2013
The UC Natural Reserve System, established in 1965 to support field research, teaching, and public service in natural environments, has become a prototype of conservation and land stewardship looked to by natural resource managers throughout the world. From its modest beginnings of seven sites, the UC NRS has grown to encompass more than 750,000 wildland acres. This book tells the story of how a few forward-thinking UC faculty, who'd had their research plots and teaching spots destroyed by development and habitat degradation, devised a way to save representative examples of many of California's major ecosystems. Working together with conservation-minded donors and landowners, with state and federal agencies, and with land trusts and private conservation organizations, they founded what would become the world's largest university-administered natural reserve system—a legacy of lasting significance and utility. This lavishly illustrated volume, which includes images by famed photographers Ansel Adams and Galen Rowell, describes the natural and human histories of the system's many reserves. Located throughout California, these wildland habitats range from coastal tide pools to inland deserts, from lush wetlands to ancient forests, and from vernal pools to oak savannas. By supporting teaching, research, and public service within such protected landscapes, the UC NRS contributes to the understanding and wise stewardship of the Earth.
Fuzzy Assessment of Land Suitability for Scientific Research Reserves
by
STOMS, DAVID M.
,
McDONALD, JENNIFER M.
,
DAVIS, FRANK W.
in
Animal, plant and microbial ecology
,
Applied ecology
,
Biological and medical sciences
2002
Evaluating the characteristics of a set of sites as potential scientific research reserves is an example of land suitability assessment. Suitability in this case is based upon multiple criteria, many of which can be linguistically imprecise and often incompatible. Fuzzy logic is a useful method for characterizing imprecise suitability criteria and for combining criteria into an overall suitability rating. The Ecosystem Management Decision Support software combined a fuzzy logic knowledge base we developed to represent the assessment problem with a GIS database providing site-specific data for the assessment. Assessment of sites as a potential natural reserve for the new University of California campus at Merced demonstrates the benefits of fuzzy suitability assessment. The study was conducted in three stages of successively smaller assessment regions with increasingly fine spatial resolution and specificity of criteria. Several sites were identified that best satisfy the suitability criteria for a reserve to represent vernal pool habitat.
Journal Article