@article {784,
	title = {Gap analysis of the vegetation of the Intermountain Semi-Desert Ecoregion},
	journal = {Great Basin Naturalist},
	volume = {58},
	year = {1998},
	month = {1998},
	pages = {199-216},
	abstract = {A conservation gap analysis was conducted for the Intermountain Semi-Desert ecoregion to assess the representation of land-cover types within areas managed primarily for biodiversity objectives. Mapped distributions of plant communities were summarized by land management status categories. The total amount of land permanently protected in the ecoregion is less than 4\% and most types that are characteristic of the region have less than 10\%. Of 48 land-cover types, 20 were found to be particularly vulnerable to potential loss or degradation, because of low level of representation in biodiversity management areas and the impact of expected land use activities. The gap analysis data and findings will be useful in providing a regional perspective in project impact assessment and future conservation planning within this ecoregion.},
	keywords = {actual vegetation, alliance, gap analysis, Intermountain Semi-Desert ecoregion, National Vegetation Classification Standards, NVCS},
	url = {<Go to ISI>://000074765200001},
	author = {Stoms, D. M. and Davis, F. W. and Driese, K. L. and Cassidy, K. M. and Murray, M. P.}
}
@article {774,
	title = {Map-guided classification of regional land-cover with multi-temporal AVHRR data},
	journal = {Photogrammetric Engineering and Remote Sensing},
	volume = {64},
	year = {1998},
	month = {1998},
	pages = {831-838},
	abstract = {Cartographers often need to use information in existing land-cover maps when compiling regional or global maps, but there are no standardized techniques for using such data effectively. An iterative, map-guided classification approach was developed to compile a spatially and thematically consistent, seamless land-cover map of the entire Intermountain Semi-Desert ecoregion from a set of semi-independent subregional maps derived by various methods. A multi-temporal dataset derived from AVHRR data was classified using the subregional maps as training data. The resulting regional map attempted to meet the guidelines of the proposed National Vegetation Classification Standards for classification at the alliance level. The approach generally improved the spatial properties of the regional mapping, while maintaining the thematic detail of the source maps. The methods described may be useful in many situations where mapped information exists but is incomplete, compiled by different methods, or is based on inconsistent classification systems.},
	keywords = {accuracy assessment, AVHRR, gap analysis, Intermountain Semidesert ecoregion, map-guided classification, National Vegetation Classification Standards, NVCS, remote sensing},
	url = {<Go to ISI>://000075109200012},
	author = {Stoms, D. M. and Bueno, M. J. and Davis, F. W. and Cassidy, K. M. and Driese, K. L. and Kagan, J. S.}
}
