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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on temperature change using a watershed-based analysis. The values range from 0 to 1 and are unitless, where Vtw = Et x (1-Aw). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on biome velocity and using a terrestrial (moving window) anlaysis. The values range from 0 to 1 and are unitless, where Vhg = Eh x (1-Ag). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on climate velocity using a terrestrially-based analysis. The values range from 0 to 1 and are unitless, where Vvg = Ev x (1-Ag). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents terrestrially-defined adaptive capacity, where values run from 0 to 1.0 and is calculated as the complement of the degree of human modification (1-H). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset depicts riparian vegetation in the valley bottoms at 10-meter resolution for the Green River Basin Landscape Conservation Design (GRB LCD) project area covering portions of Utah, Wyoming and Colorado. Values are continuous and represent the portion of each 10-meter pixel comprised by woody riparian vegetation.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on climate velocity using a watershed-based analysis. The values range from 0 to 1 and are unitless, where Vvw = Ev x (1-Aw). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It is an exposure variable that represents the temperature change (degrees C) from baseline (1950-2000) to future (2061-2080).
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It is an exposure variable that represents the climate velocity for Rehfeldt biome-habitat types (from 2000 to 2060), where units are in km/year.
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Measures of ecological integrity are increasingly being used to monitor and evaluate the status and condition of their landscapes, and numerous methods have been developed to map the pattern of human activities. The ‘Human Modification – Transboundary (HMT)’ model is designed to provide a comprehensive, but parsimonious approach, that uses several stressor/threats datasets to estimate level of human modification. There are three important elements that define the HM approach: (a) the human modification stressors and their data sources (b) the measurement unit used for each stressor, and (c) the method used to combine the effects of multiple stressors into an overall score of human modification. The way in which...
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents terrestrially-defined adaptive capacity, where values run from 0 to 1.0 and is calculated as the complement of the degree of human modification (1-H). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents hydrologically-defined adaptive capacity, where values run from 0 to 1.0 and is calculated as the complement of the degree of human modification (1-H), and are then averaged using hierarchical watersheds. The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It is an exposure variable that represents the climate velocity (km/year) which is computed as the mean rate of change in temperature over time (future-baseline; degrees C/km) divided by the rate of temperature change over space (degrees C/km).
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents a combined measure of physiographic diversity (EH) and terrestrially-defined adaptive capacity (Ag). Values run from 0 to 1.0 and is calculated as: Agp = EH x Ag. The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on biome velocity and using hydrological-based analysis (hierarchical watersheds). The values range from 0 to 1 and are unitless, where Vhw = Eh x (1-Aw). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It is an exposure variable that represents the physiographic diversity of landforms and parent material that is unitless, and then normalized, run from 0 to 1.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents terrestrially-defined adaptive capacity, where values run from 0 to 1.0 and is calculated as the complement of the degree of human modification (1-H). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.


    map background search result map search result map Ag: terrestrially defined adaptive capacity for Great Northern LCC Agp: combined measure of physiographic diversity (EH) and terrestrially-defined adaptive capacity (Ag) for Great Northern LCC Aw: hydrologically-defined adaptive capacity for Great Northern LCC Awp: combined measure of physiographic diversity (EH) and hydrologically-defined adaptive capacity (Aw) for Great Northern LCC EH: physiographic diversity of landforms and parent material for Great Northern LCC Vhg: terrestrially-defined vulnerability, biome velocity for Great Northern LCC Vhw: hydrologically-defined vulnerability, biome velocity for Great Northern LCC Vtg: terrestrially-defined vulnerability, temperature change for Great Northern LCC Vtw: hydrologically-defined vulnerability, temperature change for Great Northern LCC Vvg: terrestrially-defined vulnerability, climate velocity for Great Northern LCC Vvw: hydrologically-defined vulnerability, climate velocity for Great Northern LCC Ehv: climate velocity for Rehfeldt biome-habitat types (km/year). Et: temperature change (degrees C) from baseline (1950-2000) to future (2061-2080) for Great Northern LCC Ev: climate velocity (km/year) for Great Northern LCC Riparian vegetation within valley bottoms of the Green River Basin Derived from 2014 to 2015 NAIP Imagery Riparian vegetation within valley bottoms of the Green River Basin Derived from 2014 to 2015 NAIP Imagery Vhw: hydrologically-defined vulnerability, biome velocity for Great Northern LCC Vvw: hydrologically-defined vulnerability, climate velocity for Great Northern LCC Ag: terrestrially defined adaptive capacity for Great Northern LCC Agp: combined measure of physiographic diversity (EH) and terrestrially-defined adaptive capacity (Ag) for Great Northern LCC Aw: hydrologically-defined adaptive capacity for Great Northern LCC Awp: combined measure of physiographic diversity (EH) and hydrologically-defined adaptive capacity (Aw) for Great Northern LCC EH: physiographic diversity of landforms and parent material for Great Northern LCC Vhg: terrestrially-defined vulnerability, biome velocity for Great Northern LCC Vtg: terrestrially-defined vulnerability, temperature change for Great Northern LCC Vvg: terrestrially-defined vulnerability, climate velocity for Great Northern LCC Ehv: climate velocity for Rehfeldt biome-habitat types (km/year). Et: temperature change (degrees C) from baseline (1950-2000) to future (2061-2080) for Great Northern LCC Ev: climate velocity (km/year) for Great Northern LCC Vtw: hydrologically-defined vulnerability, temperature change for Great Northern LCC