Filters: Tags: degree of human modification (X)
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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.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
adaptive capacity,
degree of human modification,
landscape integrity,
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Canada,
Great Northern LLC,
United States,
degree of human modification,
ecological integrity,
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.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
adaptive capacity,
degree of human modification,
landscape integrity,
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.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
adaptive capacity,
degree of human modification,
landscape integrity,
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.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
adaptive capacity,
degree of human modification,
landscape integrity,
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.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
adaptive capacity,
degree of human modification,
landscape integrity,
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