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Data Basin

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This dataset contains 8 layers showing current and predicted ranges of grand fir (Abies grandis ). One layer demonstrates range according to current climate conditions averaged from the period 1950-1975. Six layers model predicted ranges according to two different IPCC scenarios according to their Canadian Climate Centre modeling and Analysis (CCCma) third generation general correlation models (CGCM3) A2 and B1, in the years 2020, 2050, and 2080. An 8th layer shows a continuous model of predicted occurrence for the period 1975-2006.
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This dataset represents the soil texture from SSURGO and STATSGO soil descriptions for soil map units in the state of western Oregon that lie within the North Pacific Landscape Conservation Cooperative. Soil texture is the mineral particle size distribution of soil particles within a soil horizon. This dataset also documents rock fragments and organic matter that may contribute to water infiltration, storage and relocation within the surface horizons of the soil profile. For reference, see NRCS soil texture triangle: http://soils.usda.gov/technical/aids/investigations/texture/
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This dataset represents the soil order from SSURGO and STATSGO soil descriptions for soil map units in the state of southern Alaska (b) that lie within the North Pacific Landscape Conservation Cooperative.
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This dataset represents the soil pH from SSURGO and STATSGO soil descriptions for soil map units in the state of northern California that lie within the North Pacific Landscape Conservation Cooperative.
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Vegetation types from Kuchler (1975) potential vegetation map were aggregated into 35 classes as part of the VEMAP project (Vegetation/Ecosystem Modeling and Analysis Project, Kittel et al. 1995). Functional vegetation types were reclassified (grouped in ArcMap) by the Conservation Biology Institute to reflect the classification scheme used by Brendan Rogers.
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