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The ecologically-relevant geophysical (ERGo) landforms dataset is a comprehensive classification of landforms based on hillslope position and dominant physical processes that covers most of North America. Four hillslope positions form a natural sequence of topographic units along the catena: ridges/peaks (summits), upper slopes (shoulders), lower slopes (foot slopes), and valley bottoms (toe slopes). The position within each of these hillslopes as a function of solar orientation to reflect how ecological processes (especially soil moisture and evapotranspiration) are influenced by insolation. Also included are very flat (i.e. areas 50°). We provide these data here at 30 m resolution, grouped by Landscape Conservation...
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The ecologically-relevant geophysical (ERGo) landforms dataset is a comprehensive classification of landforms based on hillslope position and dominant physical processes that covers most of North America. Four hillslope positions form a natural sequence of topographic units along the catena: ridges/peaks (summits), upper slopes (shoulders), lower slopes (foot slopes), and valley bottoms (toe slopes). The position within each of these hillslopes as a function of solar orientation to reflect how ecological processes (especially soil moisture and evapotranspiration) are influenced by insolation. Also included are very flat (i.e. areas 50°). We provide these data here at 30 m resolution, grouped by Landscape Conservation...
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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 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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For the Green River Basin Landscape Conservation Design (GRB LCD) assessment, we mapped the vulnerability of the critical habitat for threatened and endangered fish species to oil and gas development for each 12-digit hydrologic unit. The following threatened and endangered fish species were included in this vulnerability assessment: Colorado pikeminnow (Ptychocheilus lucius), Bonytail Chub (Gila elegans), Humpback chub (Gila cypha), and razorback sucker (Xyrauchen texanus). Using a vulnerability framework, we defined Sensitivity (S) as the average combined area of critical fish habitat within HUC12 polygons. Exposure (E) to oil and gas development was quantified the log transformed upstream flow accumulation of...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Colorado, Colorado, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Green River Basin, Green River Basin, All tags...
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For the Green River Basin Landscape Conservation Design (GRB LCD) assessment, we mapped the vulnerability of the sagebrush ecosystem to oil and gas development for each 12-digit hydrologic unit. Using a vulnerability framework, we defined Sensitivity (S) as the multi-scale average of sagebrush ecosystem land cover derived from LANDFIRE Existing Vegetation Type (LANDFIRE 2014). Exposure (E) to oil and gas development was quantified as the average kernel density of active oil and gas wells at multiple scales. Potential Impact (PI) is the square root transformed product of oil and gas development exposure and sagebrush ecosystem sensitivity. Adaptive Capacity (AC) for sagebrush ecosystem was quantified as the inverse...
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For the Green River Basin Landscape Conservation Design (GRB LCD) assessment, we mapped the vulnerability of riparian habitat for terrestrial species and process. Using a vulnerability framework, we defined Sensitivity (S) as the percent riparian vegetation within the valley bottom and Exposure (E) as the amount of human modification within the valley bottom. For each 12-digit hydrologic unit code within the GRB LCD we summarized the riparian sensitivity and exposure to human modification. We also computed Potential Impact (PI), and Adaptive Capacity (AC) metrics at the HUC12 level. PI is the square root transformed product of human modification exposure and riparian sensitivity. AC for riparian exposure to human...
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The ecologically-relevant geophysical (ERGo) landforms dataset is a comprehensive classification of landforms based on hillslope position and dominant physical processes that covers most of North America. Four hillslope positions form a natural sequence of topographic units along the catena: ridges/peaks (summits), upper slopes (shoulders), lower slopes (foot slopes), and valley bottoms (toe slopes). The position within each of these hillslopes as a function of solar orientation to reflect how ecological processes (especially soil moisture and evapotranspiration) are influenced by insolation. Also included are very flat (i.e. areas <2°) or very steep (i.e. “cliffs” >50°). We provide these data here at 30 m resolution,...
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The landscape permeability model represents the structural connectivity of sagebrush ecosystem habitat in the Green River Basin (including ~5-10 km boundary outside of the GRB. This model connects patches of habitat, across the landscape using resistances that represent the degree of human modification and slope (energetic costs), using the Multi-Scale Landscape Permeability model (Theobald et al. 2012; Theobald unpublished). We used two metrics: (a) patch importance and (b) betweeness centrality amongst patches. These metrics were summarized for each HUC12. This dataset represents the vulnerability of sagebrush ecosystem permeability to human modification summarized for each HUC12 watershed within the Green River...
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The ecologically-relevant geophysical (ERGo) landforms dataset is a comprehensive classification of landforms based on hillslope position and dominant physical processes that covers most of North America. Four hillslope positions form a natural sequence of topographic units along the catena: ridges/peaks (summits), upper slopes (shoulders), lower slopes (foot slopes), and valley bottoms (toe slopes). The position within each of these hillslopes as a function of solar orientation to reflect how ecological processes (especially soil moisture and evapotranspiration) are influenced by insolation. Also included are very flat (i.e. areas <2°) or very steep (i.e. “cliffs” >50°). We provide these data here at 30 m resolution,...
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Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
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Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
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The ecologically-relevant geophysical (ERGo) landforms dataset is a comprehensive classification of landforms based on hillslope position and dominant physical processes that covers most of North America. Four hillslope positions form a natural sequence of topographic units along the catena: ridges/peaks (summits), upper slopes (shoulders), lower slopes (foot slopes), and valley bottoms (toe slopes). The position within each of these hillslopes as a function of solar orientation to reflect how ecological processes (especially soil moisture and evapotranspiration) are influenced by insolation. Also included are very flat (i.e. areas <2°) or very steep (i.e. “cliffs” >50°). We provide these data here at 30 m resolution,...
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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 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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The ecologically-relevant geophysical (ERGo) landforms dataset is a comprehensive classification of landforms based on hillslope position and dominant physical processes that covers most of North America. Four hillslope positions form a natural sequence of topographic units along the catena: ridges/peaks (summits), upper slopes (shoulders), lower slopes (foot slopes), and valley bottoms (toe slopes). The position within each of these hillslopes as a function of solar orientation to reflect how ecological processes (especially soil moisture and evapotranspiration) are influenced by insolation. Also included are very flat (i.e. areas <2°) or very steep (i.e. “cliffs” >50°). We provide these data here at 30 m resolution,...
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The ecologically-relevant geophysical (ERGo) landforms dataset is a comprehensive classification of landforms based on hillslope position and dominant physical processes that covers most of North America. Four hillslope positions form a natural sequence of topographic units along the catena: ridges/peaks (summits), upper slopes (shoulders), lower slopes (foot slopes), and valley bottoms (toe slopes). The position within each of these hillslopes as a function of solar orientation to reflect how ecological processes (especially soil moisture and evapotranspiration) are influenced by insolation. Also included are very flat (i.e. areas <2°) or very steep (i.e. “cliffs” >50°). We provide these data here at 30 m resolution,...
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Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
thumbnail
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
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Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...


map background search result map search result map Ecologically-relevant landforms for North Pacific LCC Ecologically-relevant landforms for South Atlantic LCC Ecologically-relevant landforms for Great Plains LCC Ecologically-relevant landforms for Gulf Coast Plains and Ozarks LCC Ecologically-relevant landforms for Western Alaska LCC Vhg: terrestrially-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 Ecologically-relevant landforms for Upper Midwest and Great Lakes LCC Ecologically-relevant landforms for Plains and Prairie Potholes LCC Potential climate change impacts on alpine connectivity in the U.S. Northern Rockies Potential climate change impacts on bighorn sheep connectivity in the U.S. Northern Rockies Potential climate change impacts on forest connectivity in the U.S. Northern Rockies Potential climate change impacts on grassland connectivity in the U.S. Northern Rockies Potential climate change impacts on mountain goat connectivity in the U.S. Northern Rockies Vulnerability of Riparian Habitat to Land Uses in the Green River Basin Vulnerability of Critical Fish Habitat to Oil and Gas Development in the Green River Basin Vulnerability of Sagebrush Ecosystem to Oil and Gas Development for the Green River Basin Vulnerability of Sagebrush Ecosystem Permeability to Human Modification within the Green River Basin Vulnerability of Critical Fish Habitat to Oil and Gas Development in the Green River Basin Vulnerability of Sagebrush Ecosystem to Oil and Gas Development for the Green River Basin Vulnerability of Sagebrush Ecosystem Permeability to Human Modification within the Green River Basin Vulnerability of Riparian Habitat to Land Uses in the Green River Basin Potential climate change impacts on alpine connectivity in the U.S. Northern Rockies Potential climate change impacts on bighorn sheep connectivity in the U.S. Northern Rockies Potential climate change impacts on forest connectivity in the U.S. Northern Rockies Potential climate change impacts on grassland connectivity in the U.S. Northern Rockies Potential climate change impacts on mountain goat connectivity in the U.S. Northern Rockies Ecologically-relevant landforms for South Atlantic LCC Ecologically-relevant landforms for Western Alaska LCC Ecologically-relevant landforms for Great Plains LCC Ecologically-relevant landforms for Gulf Coast Plains and Ozarks LCC Ecologically-relevant landforms for Plains and Prairie Potholes LCC Ecologically-relevant landforms for Upper Midwest and Great Lakes 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 Ecologically-relevant landforms for North Pacific LCC Vtw: hydrologically-defined vulnerability, temperature change for Great Northern LCC