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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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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,...
Land facets were created by combining 3 rasters: elevation (seven 600-m bands), soil orders (11 classes) and slope (3 breaks) to produce a 270-m resolution grid. 162 land facets were created, ranging in size from over 9 million hectares in the plateaus of the Columbia Plateau to less than 1,000 hectares in steep, high elevation habitats. These 162 facets were stratified by ecoregions to produce 794 ecofacets which underlie the spatial distribution of biodiversity and the region’s biological richness. Soil Order: Soil orders reflect both geology and time and are based largely on soil forming processes, including exposure to climatic factors and biological processes, as indicated by the presence or absence of major...
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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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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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These layers each depict one suite of methodological choices for designating land facets. Scroll through them to see how different choices affect land facet patterns. Methodological choices: Resolution: 1km or 270m Categorization approach: Categorical overlay- each variable is categorized into ecologically meaningful classes. Land facets are created from unique combinations of those classes. K-means clustering- an algorithm clusters the continuous variables into a designated number of facets. The Hartigan index was used to identify the optimal number of facets. Hybrid approach- a combination of the categorical overlay and a clustering method. Topographic data were categorized, and within each topographic class...
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(This dataset displays the land facet elevation class) Land facets are a primary component in TNC’s analysis of site resilience to climate change. Their inclusion is based on the assumption that preservation of representative examples of the geophysical ‘Stage’ (ie., topo-edaphic factors) results in protection of a wider variety of species (the ‘Players’). These data represent a land facet classification created for the Pacific Northwest Landscape Resilience project. Each Land Facet has been stratified by terrestrial ecoregions - essentially defining each combination of soil order, elevation zone and slope class as unique from that same combination in another ecoregion. A full description of the development of...
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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...
This map depicts the density of "More Resilient" cells (defined as the top two quintiles from the stratified resilience dataset) within a 3-km radius of every cell. This provides important additional context when making land protection or restoration decisions. Cells with higher density values are embedded in a larger resilient landscape. These areas are more likely to support biodiversity and ecological function over time in a changing climate. To quantify resilience at the landscape scale, we used a density function, where all cells classified in the final top two resilience quintiles were included in the density calculations, regardless of their underlying Ecofacet, and all other cells were ignored. Looking...
Abstract (from http://link.springer.com/article/10.1007/s10980-015-0167-7/fulltext.html): Context Conservation of geophysical diversity has been proposed as a strategy for conserving species diversity and facilitating adaptive capacity of species in the face of changing climate. Existing protected areas may not correspond to the most geophysically diverse places because they have typically not been selected on this basis. Objectives My objectives were to characterize geophysical diversity in the southwestern United States, assess the sensitivity of my results to methodological choices, and assess the degree to which the existing protected areas network in this region captures geophysically diverse places. Methods...
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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,...
Permeability refers to the degree to which a landscape sustains ecological processes and supports movement of many species by virtue of the structural connectedness of its natural systems (Meiklejohn et al 2010). We used resistant kernel analysis (Compton et al. 2007) to map permeability as a focal statistic based on the resistance data from the terrestrial condition dataset. The analysis evaluates the capacity for ecological flow outward from each focal cell into its local neighborhood up to a maximum of 3-km, then combines the results into a final, study-wide surface. Perm_Score: Our permeability analysis evaluates the connectivity of a focal cell to its ecological neighborhood when the cell is viewed as a source;...
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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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These layers each depict one suite of methodological choices for designating land facets. Scroll through them to see how different choices affect land facet patterns. Methodological choices: Resolution: 1km or 270mCategorization approach:Categorical overlay- each variable is categorized into ecologically meaningful classes. Land facets are created from unique combinations of those classes. K-means clustering- an algorithm clusters the continuous variables into a designated number of facets. The Hartigan index was used to identify the optimal number of facets. Hybrid approach- a combination of the categorical overlay and a clustering method. Topographic data were categorized, and within each topographic class...


map background search result map search result map TNC Land Facets for the ALI analysis area Comparing Land Facet Methodologies in the Columbia Plateau Comparing Land Facet Methodologies in Willamette Valley 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 Baja LCC Climate Change Resilience in the Pacific Northwest, Land Facets Stratified by Terrestrial Ecoregions, Elevation Class Ecologically-relevant landforms for Great Basin LCC Ecologically-relevant landforms for California LCC Ecologically-relevant landforms for Gulf Coast Plains and Ozarks LCC Ecologically-relevant landforms for Desert LCC Ecologically-relevant landforms for North Atlantic LCC Ecologically-relevant landforms for Western Alaska LCC Ecologically-relevant landforms for Upper Midwest and Great Lakes LCC Ecologically-relevant landforms for Plains and Prairie Potholes LCC Comparing Land Facet Methodologies in Willamette Valley TNC Land Facets for the ALI analysis area Ecologically-relevant landforms for South Atlantic LCC Ecologically-relevant landforms for Western Alaska LCC Ecologically-relevant landforms for California LCC Ecologically-relevant landforms for Great Basin LCC Ecologically-relevant landforms for Great Plains LCC Ecologically-relevant landforms for Gulf Coast Plains and Ozarks LCC Ecologically-relevant landforms for Baja LCC Ecologically-relevant landforms for North Atlantic LCC Ecologically-relevant landforms for Plains and Prairie Potholes LCC Ecologically-relevant landforms for Upper Midwest and Great Lakes LCC Climate Change Resilience in the Pacific Northwest, Land Facets Stratified by Terrestrial Ecoregions, Elevation Class Ecologically-relevant landforms for Desert LCC Comparing Land Facet Methodologies in the Columbia Plateau Ecologically-relevant landforms for North Pacific LCC