A digital land cover map of Wyoming, USA: a tool for vegetation analysis

Abstract. A Landsat Thematic Mapper (TM) based digital land cover map has been created for the state of Wyoming, USA, at moderate spatial (l-km2 minimum mapping unit) and high typal (41 land cover types) resolution as part of the Wyoming Gap Analysis Program (WGAP). This map presents opportunities for regional characterization of land cover, especially vegetation, and for examination of ecological phenomena that manifest themselves over large areas. Using the digital land cover data, we describe Wyoming vegetation and examine positions of three prominent physiognomic transitions in Wyoming: the elevation of upper and lower treeline, and the position of the biogeographic boundary between shruband grass-dominated vegetation. By area, the three leading land cover types in Wyoming are Artemisia tridentata ssp. wyomingensis sagebrush (33.4 %), mixed grass prairie (17.5 %) and Pinus contorta forest (6.5 %). Average upper-treeline elevation in Wyoming is 2947 m, and decreases with increasing latitude at an average rate of about 0.5 m/km, less than the rate of about 0.9 m/km reported by Peet (1978) for a gradient from Mexico to Canada. Lower-treeline occurs at an average elevation of 2241 m, and decreases with increasing latitude and with southerly aspect. In Wyoming, shrub-dominated communities are more likely to occur than grass-dominated communities as summer precipitation decreases below 282 mm. All of these relationships are subtle, and it appears that for particular areas, local factors are more important than regional climatic trends in explaining the position of phytogeographic boundaries.

[1]  D. H. Knight,et al.  Mountains and Plains: The Ecology of Wyoming Landscapes , 1996 .

[2]  C. Daly,et al.  A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain , 1994 .

[3]  W. Smith,et al.  Wind Effects on Needles of Timberline Conifers: Seasonal Influence on Mortality , 1986 .

[4]  R. S. Driscoll An Ecological land classification framework for the United States States , 1984 .

[5]  D. Despain Vegetation of the Big Horn Mountains, Wyoming, in relation to substrate and climate , 1973 .

[6]  R. Reed Coniferous Forest Habitat Types of the Wind River Mountains, Wyoming' , 1976 .

[7]  Arthur Cronquist,et al.  Flora of the Pacific Northwest , 1974 .

[8]  R. Peet Forests of the Rocky Mountains , 1988 .

[9]  Stephen J. Walsh,et al.  Influence of snow patterns and snow avalanches on the alpine treeline ecotone , 1994 .

[10]  R. Daubenmire Plant Geography: With Special Reference to North America , 1980 .

[11]  James R. Anderson,et al.  A land use and land cover classification system for use with remote sensor data , 1976 .

[12]  F. Davis,et al.  GAP ANALYSIS OF THE ACTUAL VEGETATION OF CALIFORNIA 1. THE SOUTHWESTERN REGION , 1995 .

[13]  R. Peet Latitudinal variation in southern Rocky Mountain forests , 1978 .

[14]  W. Smith,et al.  Influence of Wind Exposure on Needle Desiccation and Mortality for Timberline Conifers in Wyoming, U.S.A. , 1983 .

[15]  J. King LATE QUATERNARY VEGETATIONAL HISTORY , 1981 .

[16]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[17]  J. M. Beiswenger Late quaternary vegetational history of grays lake, Idaho , 1991 .

[18]  W. Bowman Mountains and Plains , 1997 .

[19]  F. Blasco,et al.  A vegetation map of tropical continental Asia at scale 1:5 million , 1996 .

[20]  J. Love,et al.  Geologic Map of Wyoming. , 1954, Science.

[21]  P S Albert,et al.  A generalized estimating equations approach for spatially correlated binary data: applications to the analysis of neuroimaging data. , 1995, Biometrics.

[22]  R. Neilson A Model for Predicting Continental‐Scale Vegetation Distribution and Water Balance , 1995 .

[23]  Brooks E. Martner,et al.  Wyoming Climate Atlas , 1986 .

[24]  Vincent M. Caruso,et al.  Digital elevation models , 1983 .

[25]  William J. Emery,et al.  The sensitivity of a land surface parameterization scheme to the choice of remotely-sensed landcover data sets , 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

[26]  R. G. Wright,et al.  GAP ANALYSIS: A GEOGRAPHIC APPROACH TO PROTECTION OF BIOLOGICAL DIVERSITY , 1993 .

[27]  Frank W. Davis,et al.  An information systems approach to the preservation of biological diversity , 1990, Int. J. Geogr. Inf. Sci..