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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...
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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...
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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...
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**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...
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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...
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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...
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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.
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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...
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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 <...
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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).
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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...
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Resilience concerns the ability of a living system to adjust to climate change, to moderate potential damages, to take advantage of opportunities, or to cope with consequences; in short, its capacity to adapt. In this project we aim to identify the most resilient examples of key geophysical settings (e.g. sand plains, granite mountains, limestone valleys, etc.) in New york State to provide conservationists with a nuanced picture of the places where conservation is most likely to succeed over centuries.The project had three parts: 1) identifying and mapping the geophysical settings, 2) developing a quantitative estimate of resilience for each setting based on landscape complexity and permeability, and 3) identifying...
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The primary objective of the research is to develop a rule-based decision support system to predict the relative vulnerability of nearshore species to climate change. The approach is designed to be applicable to fishes and invertebrates with limited data by predicting risk from readily avialable data, including species’ biogeographic distributions and natural history attributes. By evaluating multiple species and climate stressors, the approach allows an assessment of climate vulnerability acorss habitat types and the impact of specific climate alterations as well as their cumulative impact. A website with a rule-based application for rockfish and crabs is availalble at http://cbrat.org/.
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The California Basin Characterization Model (CA-BCM 2014) dataset provides historical and projected climate and hydrologic surfaces for the region that encompasses the state of California and all the streams that flow into it (California hydrologic region ). The CA-BCM 2014 applies a monthly regional water-balance model to simulate hydrologic responses to climate at the spatial resolution of a 270-m grid. The model has been calibrated using a total of 159 relatively unimpaired watersheds for the California region. The historical data is based on 800m PRISM data spatially downscaled to 270 m using the gradient-inverse distance squared approach (GIDS), and the projected climate surfaces include five CMIP-3 (GFDL,...
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These files include downscaled projections of decadal average monthly snowfall equivalent ("SWE", in millimeters) for each month of the decades from 2010-2019 to 2090-2099 at 771 x 771 m spatial resolution. Each file represents a decadal average monthly mean. Output is available for the NCAR-CCSM4, GFDL-CM3, GISS-E2-R, IPSL-CM5A-LR, and MRI-CGCM3 models and three emissions scenarios (RCP 4.5, RCP 6.0 and RCP 8.5). Snow-fall equivalent estimates were produced by multiplying snow-day fraction ("fs") by decadal average monthly precipitation ("Pr"). (fs*Pr)/100 Snow-day fraction data used can be found here: http://ckan.snap.uaf.edu/dataset/projected-decadal-averages-of-monthly-snow-day-fraction-771m-cmip5-ar5 Precipitation...
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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...
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This elevation data was obtained from the PRISM climate group, distributed by Climate Source. From personal communication with Wayne Gibson, it was "based off of GTOPO30 data, and then Barnes filtered to the desired resolution" Wayne Gibson PRISM Group Northwest Alliance for Computational Science & Engineering (NACSE) 2000 Kelley Engineering Center Oregon State University Corvallis, Oregon, 97331-5501 Oregon State University Voice: (541) 737-2531 http://www.prism.oregonstate.edu/ http://www.climatesource.com/ http://www1.gsi.go.jp/geowww/globalmap-gsi/gtopo30/gtopo30.html SNAP resampled the 2km product to the 1km model resolution through bilinear interpolation. Spatial resolution 1000 meters Credits The following...
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Large forest blocks are important features on the landscape and worthy of conservation attention. Maintenance of large blocks of intact habitat is perhaps the most oft recommended biodiversity conservation strategy. We created a map of large forest blocks by selecting all of the forest formations from the Ecological Systems dataset and converting this raster coverage into a polygon coverage using ArcMap. We then used the area function within the resulting attribute table to calculate areas of forest habitats across the state. Last, we classified them according to parameters originally developed by the Orange County Open Space Plan (Orange County Planning Department, 2004) and further utilized by Cornell University’s...
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The California Basin Characterization Model (CA-BCM 2014) dataset provides historical and projected climate and hydrologic surfaces for the region that encompasses the state of California and all the streams that flow into it (California hydrologic region ). The CA-BCM 2014 applies a monthly regional water-balance model to simulate hydrologic responses to climate at the spatial resolution of a 270-m grid. The model has been calibrated using a total of 159 relatively unimpaired watersheds for the California region. The historical data is based on 800m PRISM data spatially downscaled to 270 m using the gradient-inverse distance squared approach (GIDS), and the projected climate surfaces include five CMIP-3 (GFDL,...
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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...
map background search result map search result map Dataset: Sagebrush MW5k Percent 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. California Basin Characterization Model Downscaled Climate and Hydrology Urban Growth Projection for DSL-SAMBI Integrated Ecosystem Model (IEM) - Elevation Local Connectivity, New York State Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3 Significant Habitats, New York State Riparian Areas, New York State Regional Flow 2016, Eastern U.S. and Canada Large Forest Blocks, New York State Geophysical Settings, 2016 Eastern U.S. and Canada Regional Flow 2016, Chesapeake Bay, U.S. CBRAT - Coastal Biodiversity Risk Analysis Tool Website 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 California Basin Characterization Model Downscaled Climate and Hydrology Large Forest Blocks, New York State Regional Flow 2016, Chesapeake Bay, U.S. Urban Growth Projection for DSL-SAMBI California Basin Characterization Model Downscaled Climate and Hydrology California Basin Characterization Model Downscaled Climate and Hydrology Significant Habitats, New York State Riparian Areas, New York State Local Connectivity, New York State Dataset: Sagebrush MW5k Percent CBRAT - Coastal Biodiversity Risk Analysis Tool Website Regional Flow 2016, Eastern U.S. and Canada Integrated Ecosystem Model (IEM) - Elevation 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 Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3 Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3