Skip to main content
Advanced Search

Filters: Tags: {"type":"unknown","scheme":"URL of thesaurus?"} (X)

32 results (112ms)   

View Results as: JSON ATOM CSV
thumbnail
These files include historical downscaled estimates of decadal average monthly snow-day fraction ("fs", units = percent probability from 1 – 100) for each month of the decades from 1900-1909 to 2000-2009 at 771 x 771 m spatial resolution. Each file represents a decadal average monthly mean. Version 1.0 was completed in 2015 Version 2.0 was completed in 2018 These snow-day fraction estimates were produced by applying equations relating decadal average monthly temperature to snow-day fraction to downscaled decadal average monthly temperature. Separate equations were used to model the relationship between decadal monthly average temperature and the fraction of wet days with snow for seven geographic regions in the...
thumbnail
These files include climatological summaries of downscaled historical and projected decadal average monthly snowfall equivalent ("SWE", in millimeters), the ratio of snowfall equivalent to precipitation, and future change in snowfall for October-March at 771-meter spatial resolution across the state of Alaska. **Derived snow variables and summaries. Data are for summary October to March Alaska climatologies for:** 1) historical and future snowfall equivalent ("SWE"), produced by multiplying snow-day fraction by decadal average monthly precipitation and summing over 6 months from October to March to estimate the total SWE on April 1. 2) historical and future ratio of SWE to precipitation ("SFEtoP"), SFEtoP is the...
thumbnail
This dataset was created using the PRISM (Parameter-elevation Regressions on Independent Slopes Model) climate mapping system, developed by Dr. Christopher Daly, PRISM Climate Group director. PRISM is a unique knowledge-based system that uses point measurements of precipitation, temperature, and other climatic factors to produce continuous, digital grid estimates of monthly, yearly, and event-based climatic parameters. Continuously updated, this unique analytical tool incorporates point data, a digital elevation model, and expert knowledge of complex climatic extremes, including rain shadows, coastal effects, and temperature inversions. PRISM data sets are recognized world-wide as the highest-quality spatial climate...
thumbnail
This project acquired, federated and curated approximately one million new observations to the Avian Knowledge Network. These new observations, in addition to millions of existing records, were used to model the distribution and abundance of 26 species of land birds in the southern portion of the North Pacific Landscape Conservation Cooperative (NPLCC) region including CA, OR and WA. The models were based on climate and modeled vegetation.Using the models, maps were created showing the distribution and abundance of each species for current (late 20th century) conditions and projected the models to future conditions (2070) based on five regional climate models. The bird models were also used to create maps of conservation...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2011, Academics & scientific researchers, Assessenspecies migration, BIOSPHERICINDICATORS, CA-2, All tags...
thumbnail
A highly permeable landscape promotes resilience by facilitating range shifts and the reorganization of communities. Roads, development, dams, and other structures create resistance that interrupts or redirects movement and, therefore, lowers the permeability. Maintaining a connected landscape is the most widely cited strategy in the scientific literature for building resilience and has been suggested as an explanation for why there were few extinctions during the last period of comparable rapid climate change. This metric is an important component of resilience because it indicates whether a process is likely to be disrupted or how much access a species has to the micro-climates within its given neighborhood. ...
thumbnail
A climate-resilient conservation portfolio includes sites representative of all geophysical settings selected for their landscape diversity and local connectedness. We developed methods to identify such a portfolio. First, we mapped geophysical settings across the entire study area. Second, within each geophysical setting we located sites with diverse topography that were highly connected by natural cover. Third, we compared the identified sites with the current network of conservation lands and with The Nature Conservancy’s (TNC’s) portfolio of important biodiversity sites identified based on rare species and natural community locations.Using this information we noted geophysical settings that were underrepresented...
thumbnail
**Symbology has been adjusted by the Open Space Institute from The Nature Conservancy's original "Geophysical Settings, 2016 Eastern U.S. and Canada" dataset.** The geophysical settings are defined by their physical properties – geology, soil, and elevation - that correspond to differences in the flora and fauna they support. They also differ in ecological character, in their value for agriculture or mining, and how they have been developed by people. For example, the region’s high granite mountains are both largely intact and topographically complex, whereas low coastal sandplains are both more fragmented and relatively flat. The geophyical settings classification enabled us to compare resilience characteristics...
thumbnail
Values represent percent of surrounding landscape (5K) are dominated by sagebrush cover. Reclassified LANDFIRE 2013 Existing Vegetation Type by selecting the ecological systems containing sagebrush (Codes: 2080, 2125, 2126, 2220, 2064, 2072, 2079, 2124) to create a binary raster dataset with 1 for the sagebrush land cover types and zero for all others.To incorporate sagebrush lost to fire in fires since the Landsat was flown in 2010 that Landfire was derived from, I used fire perimeters from 2011,2012, & 2013 to reclassify pixels designated as having sagebrush as 0 (not having sagebrush), which assumes a homogenous burn (in reality there may be patches of sagebrush left within a burn perimeter). I then ran focalsum...
thumbnail
To create a wall-to-wall surface of landscape permeability we used the software CIRCUITSCAPE (McRae and Shah 2009), an innovative program that models species and population movements as if they were electric current flowing through a landscape of variable resistance. Circuit modeling is conceptually aligned with the concept of landscape permeability because it recognizes that movement through a landscape is affected by a variety of impediments, and it quantifies the degree and the directional outcomes of the compounding effects. One output is a “flow” map that shows the behavior of directional flows and highlights concentration areas and pinch-points.The results can highlight locally and regionally significant places...
thumbnail
This collection includes several datasets related to the fraction of precipitation days that are snowy (vs. rainy) and the amount of precipitation that likely falls as snow across Alaska. Both historical and future projections are included. Files include: Climatological summaries of downscaled historical and projected decadal average monthly snowfall equivalent ("SWE", in millimeters), the ratio of snowfall equivalent to precipitation, and future change in snowfall for October to March at 771 meter spatial resolution across the state of Alaska. Historical downscaled estimates of decadal average monthly snow-day fraction ("fs", units = percent probability from 1 to 100) for each month of the decades from 1900 through...
thumbnail
These files include a derived 50 meter spatial resolution Compound Topographic (or Wetness) Index ([CTI or TWI](https://en.wikipedia.org/wiki/Topographic_Wetness_Index)) and Flow Accumulation (as represented by specific catchment area, SCA) calculated from a continuous, transboundary DEM developed across the Alaska perhumid coastal temperate rainforest (AKPCTR). The extent of this dataset includes all of the Alaska and Canada watersheds that discharge into southeast Alaska coastal waters, which covers essentially the northern half of the full PCTR. The transboundary DEM used to calculate the CTI can be here: [link](http://ckan.snap.uaf.edu/dataset/a-continuous-transboundary-50-meter-dem-for-the-alaska-perhumid-coastal-temperate-rainforest-ak06b59)...
thumbnail
Reclassed areas of just sagebrush (1) and no sagebrush (0, areas with originally no sagebrush or recently burned areas). Landfire codes were: 2080, 2125, 2126, 2220, 2064, 2072, 2079, 2124) This layer is an intermediate layer used to create a sagebrush landscape cover layer using a moving window analysis. See Landfire metadata for an assessment of that data. See WFDSS, GEOMAC and MTBS fire metadata for more information on those data
thumbnail
This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.Urban growth probability extents throughout the 21st century were projected for the Southeast Regional Assessment Project (SERAP), which encompasses all or parts of the states of Alabama, Arkansas, Florida, Georgia, Illinois, Indiana, Kentucky,...
thumbnail
This dataset is an extract of the resistance surface created for the Pacific Northwest Duke Climate Resilience Project. It incorporates data on various human activities from the following data sources: National Landcover Dataset, Energy Infrastructure data from the Ventyx Corporation, National Wetlands Inventory, TIGER 2010 Road Data, active railroads and Dave Theobald's housing density dataset developed from 2010 census data. More details on the creation of this surface can be found in the document "Creation of Resistance Surfaces for the Resistant Kernel Pacific Northwest Duke Landscape Resilience Project".
thumbnail
This dataset was last updated 05/2016. This version was updated using DSLland Version 3.1. The update to DSLland Version 3.1 from Version 3.0 is the addition of a lakes and ponds classification. This dataset depicts the ecological integrity of locations (represented by 30 m grid cells) throughout New York State based on environmental conditions existing in approximately 2010. Ecological integrity is defined as the ability of an area (e.g., local site or landscape) to sustain important ecological functions over the long term. In particular, the functions include the long-term ability to support biodiversity and the ecosystem processes necessary to sustain biodiversity. The Index of Ecological Integrity (IEI) is...
thumbnail
This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.
thumbnail
This data set provides Daymet Version 3 model output data as gridded estimates of daily weather parameters for North America and Hawaii: including Canada, Mexico, the United States of America, Puerto Rico, and Bermuda. The island areas of Hawaii and Puerto Rico are available as files separate from the continental land mass. Daymet output variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length. The data set covers the period from January 1, 1980 to December 31 of the most recent full calendar year. Each subsequent year is processed individually at the close of a calendar year. Daymet variables are...
thumbnail
This layer was created from the Ecological Systems Map (ESM+, also called DSL Land) to highlight a number of habitat types specifically. We used the Summarize Zones function in ArcMap along with the Protected Areas Dataset and the ESM+ layer to identify the extent and protection status of all ecological systems (macrogroup level) across the 4 northeast states of NY, VT, NH, and ME. We also used information on potential habitats for Regional Species of Greatest Conservation Need (RSGCN) for these 4 states from a prior crosswalk of ESM+ macrogroups with Natureserve habitat types completed by Glennon and Curran (2013). The following habitat types were identified as (1) making up less than 10% of NYS (most are <...
thumbnail
Riparian areas and floodplain forests are critical to wildlife and used by large numbers of species not only for habitat but as important corridors for dispersal and migration. We created a raster from the ESM+ layer that identified lotic habitats and the adjacent areas up to 100m from them in order to denote riparian features on the landscape that may be worthy of protection. We selected a 100m distance as a buffer distance which, if protected, would enhance conservation of riparian habitats and is consistent with prior recommendations we have made about protection of these features (WCS 2010, 2013).
thumbnail
This dataset was created using the PRISM (Parameter-elevation Regressions on Independent Slopes Model) climate mapping system, developed by Dr. Christopher Daly, PRISM Climate Group director. PRISM is a unique knowledge-based system that uses point measurements of precipitation, temperature, and other climatic factors to produce continuous, digital grid estimates of monthly, yearly, and event-based climatic parameters. Continuously updated, this unique analytical tool incorporates point data, a digital elevation model, and expert knowledge of complex climatic extremes, including rain shadows, coastal effects, and temperature inversions. PRISM data sets are recognized world-wide as the highest-quality spatial climate...
map background search result map search result map Resistance Surface for the ALI analysis area Dataset: Sagebrush MW5k Percent SLEUTH Projected Urban Growth 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. Urban Growth Projection for DSL-SAMBI Sagebrush MW5k Percent Compound Topographic Index and Specific Catchment Area for the Alaska Perhumid Coastal Temperate Rainforest Index of Ecological Integrity, New York State Significant Habitats, New York State Riparian Areas, New York State Regional Flow 2016, Eastern U.S. and Canada Local Connectedness Stratified by Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Landscape Diversity Stratified by Geophysical Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Geophysical Settings, 2016 Eastern U.S. and Canada Current and Future Abundance of North Pacific Birds in the Context of Climate Change - GIS Files Collection: Historical and Projected Estimates of Snow Fraction and and the Amount of Precipitation that Likely Falls as Snow Across Alaska 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3 Resistance Surface for the ALI analysis area Current and Future Abundance of North Pacific Birds in the Context of Climate Change - GIS Files Urban Growth Projection for DSL-SAMBI Compound Topographic Index and Specific Catchment Area for the Alaska Perhumid Coastal Temperate Rainforest Index of Ecological Integrity, New York State Significant Habitats, New York State Riparian Areas, New York State Dataset: Sagebrush MW5k Percent Sagebrush MW5k Percent SLEUTH Projected Urban Growth Local Connectedness Stratified by Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Landscape Diversity Stratified by Geophysical Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Regional Flow 2016, Eastern U.S. and Canada 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. Geophysical Settings, 2016 Eastern U.S. and Canada Collection: Historical and Projected Estimates of Snow Fraction and and the Amount of Precipitation that Likely Falls as Snow Across Alaska Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3