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Covering 120 million acres across 14 western states and 3 Canadian provinces, sagebrush provides critical habitat for species such as pronghorn, mule deer, and sage-grouse – a species of conservation concern. The future of these and other species is closely tied to the future of sagebrush. Yet this important ecosystem has already been affected by fire, invasive species, land use conversion, and now, climate change. In the western U.S., temperatures are rising and precipitation patterns are changing. However, there is currently a limited ability to anticipate the impacts of climate change on sagebrush. Current methods suffer from a range of weakness that limits the reliability of results. In fact, the current uncertainty...
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TEM_50K contains Terrestrial Ecosystem Mapping (TEM) polygons with key and amalgamated (concatenated) attributes derived from the RISC (Resource Inventory Standards Committee) standard attributes completed at a scale of 1:50,000 or smaller (i.e. 1:100,000). TEM divides the landscape into units according to a variety of ecological features including climate, physiography, surficial material, bedrock geology, soils and vegetation. TEM methods include manual air photo interpretation supported by selective field checking. This layer is derived from the STE_TEI_ATTRIBUTE_POLYS_SP layer by filtering on the PROJECT_TYPE and PROJECT_MAP_SCALE attributes. By accessing this dataset you agree to the Province's license available...
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PEM_20K contains 1:20,000 PEM polygons with key and amalgamated (concatenated) attributes derived from the Resource Inventory Standards Committee (RISC) standard attributes. PEM divides the landscape into units according to a variety of ecological features including climate, physiography, surficial material, bedrock geology, soils and vegetation. PEM uses a modeling approach to ecosystem mapping, whereby existing knowledge of ecosystem attributes and relationships are used to predict ecosystem representation in the landscape. This layer is derived from the STE_TEI_ATTRIBUTE_POLYS_SP layer by filtering on the PROJECT_TYPE and PROJECT_MAP_SCALE attributes
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Terrain Inventory Mapping (TIM) contains polygons with key and amalgamated (concatenated) attributes derived from the RISC (Resource Inventory Standards Committee) standard attributes. TIM is multi-purpose and divides the landscape into unit according to surficial material, surface expression and geomorphological process using the Terrain Classification System for British Columbia. Most of the inventory mapping was completed in the 1970's and 1980's on 1:50 000 scale base maps using air photo interpretation with selective field checking, and manual transfer and drafting of paper maps. These maps were later digitized and have been converted from IGDS or CAPAMP to ArcInfo to Geodatabase. This layer is derived from...
Atmospheric deposition of sulfur and nitrogen species have the potential to acidify terrestrial and aquatic ecosystems, but nitrate and ammonium are also critical nutrients for plant and microbial productivity. Both the ecological response and the hydrochemical response to atmospheric deposition are of interest to regulatory and land management agencies. We developed a non-spatial biogeochemical model to simulate soil and surface water chemistry by linking the daily version of the CENTURY ecosystem model (DayCent) with a low temperature aqueous geochemical model, PHREEQC. The coupled model, DayCent-Chem, simulates the daily dynamics of plant production, soil organic matter, cation exchange, mineral weathering, elution,...
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PEM_Projects contains Predictive Ecosystem Mapping (PEM) project boundaries (study areas) and attributes describing each project (project level metadata), plus links to the locations of other data associated with the project (e.g., reports, polygon datasets, plotfiles, legends). PEM uses modeling to divide the landscape into units according to a variety of ecological features including climate, physiography, surficial material, bedrock geology, soils and vegetation. This layer is derived from the STE_TEI_PROJECT_BOUNDARIES_SP layer by filtering on the PROJECT_TYPE attribute
Climate change is likely to impact terrestrial and aquatic ecosystems via numerous physical and biological mechanisms. This study outlines a framework for projecting potential impacts of climate change on lakes using linked environmental models. Impacts of climate drivers on catchment hydrology and thermal balance in Onondaga Lake (New York State) are simulated using mechanistic models HSPF and UFILS4. Outputs from these models are fed into a lake ecosystem model, developed in AQUATOX. Watershed simulations project increases in the magnitude of peak flows and consequent increases in catchment nutrient export as the magnitude of extreme precipitation events increases. This occurs concurrently with a decrease in annual...


    map background search result map search result map Terrestrial Ecosystem Mapping (TEM) Detailed Polygons with Short Attribute Table - 1:50,000 Spatial View Predictive Ecosystem Mapping (PEM) Detailed Polygons with Short Attribute Table - 1:20,000 Spatial View Predictive Ecosystem Mapping (PEM) Project Boundaries Terrain Inventory Mapping (TIM) Detailed Polygons with Short Attribute Table Spatial View Forecasting Future Changes in Sagebrush Distribution and Abundance Forecasting Future Changes in Sagebrush Distribution and Abundance Terrestrial Ecosystem Mapping (TEM) Detailed Polygons with Short Attribute Table - 1:50,000 Spatial View Predictive Ecosystem Mapping (PEM) Detailed Polygons with Short Attribute Table - 1:20,000 Spatial View Predictive Ecosystem Mapping (PEM) Project Boundaries Terrain Inventory Mapping (TIM) Detailed Polygons with Short Attribute Table Spatial View