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Data

Tools and data sets generated in the over 500 CASC projects are made publicly available for use in future research or management projects. CASC data stewards ensure products remain up-to-date and maintain high levels of data integrity. Browse a selection of data sets from CASC projects below.

Filter Total Items: 34

Projected peak instantaneous rate of green-up date and spring scale across Wyoming from 2000 to 2099

These data represent projections of peak instantaneous rate of green-up date (PIRGd) and spring scale across Wyoming from 2000-2099. Annual data is provided in gridded time series at approximately 4 km spatial resolution. Projections were generated by applying linear mixed models to contemporary remote sensing data, and applying model parameters to future climate projection data from the MACA data

Favorability of environmental conditions for coral reefs in Guam and American Samoa under multiple climate scenarios

This dataset consists of raster geotiff outputs of relative environmental favorability for coral growth and survival in the United States territories of Guam and American Samoa across 3 climate scenarios: Present, Intermediate Emissions (Representative Concentration Pathway 4.5), and Worst Case Emissions (Representative Concentration Pathway 4.5). These datasets were generated from a synthesis of

Informing adaptation strategies for maintaining landscape connectivity for Northern Rockies wildlife in the face of climate change

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 s

Historical and Future Prescribed Burn Windows for the Southeast United States

Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable wea

County-Level Geographic Distributions for 47 Exotic Plant Species in Midwest USA and Central Canada, Compiled 2019

Geographic distribution data were collected based on county level occurrences (or converted from point occurrences to county level occurrences) within the five focal states (Minnesota, North Dakota, South Dakota, Nebraska & Iowa) and each U.S. state or Canadian province bordering those focal states (Wisconsin, Illinois, Missouri, Kansas, Wyoming, & Montana in the USA and Saskatchew

Standardized Precipitation-Evapotranspiration Index for western United States, 2001-2014, derived from gridMET climate estimates

These data are 30m by 30 m grids of the mean Standardized Precipitation-Evapotranspiration Index (SPEI) between 2001-2014 in the western United States. The SPEI index was developed by Sergio M. Vicente-Serrano and coauthors (https://spei.csic.es/index.html). Source evapotranspiration and precipitation data were generated by gridMET (http://www.climatologylab.org/gridmet.html).

Data release: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes

Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on

Daily HOBO Pro V.2 soil temperate measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017)

Daily HOBO Pro V.2 soil temperature measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017). Data collected in Great Dismal Swamp National Wildlife Refuge in Southern VA and Northern NC from 9 plot sites representing three general forest types: Atlantic White Cedar, Pocosin Pine, and Maple and Gum.

Sap Quantity at Study Sites in the Northeast

Maple syrup is produced from the sap of sugar maple collected in the late winter and early spring. Native American tribes have collected and boiled down sap for centuries, and the tapping of maple trees is a cultural touchstone for many people in the northeast and Midwest. Because the tapping season is dependent on weather conditions, there is concern about the sustainability of maple sugaring as

Sap Quality at Study Sites in the Northeast

Maple syrup is produced from the sap of sugar maple collected in the late winter and early spring. Native American tribes have collected and boiled down sap for centuries, and the tapping of maple trees is a cultural touchstone for many people in the northeast and Midwest. Because the tapping season is dependent on weather conditions, there is concern about the sustainability of maple sugaring as

High-Resolution Georeferenced Major Rivers Point Data, Spaced in 150m intervals

The Global River Points dataset is a high-resolution vector file geodatabase of 73 rivers world-wide. Each river is represented by a series of points spaced 150 meters apart and each point has attached environmental attributes extracted from multiple data sets. The attributes include physical information (slope, elevation, temperature, precipitation, river width and discharge) and landscape variab

Evaluating Adaptive Capacity of Desert Bighorn Sheep to Climate Change: Identifying Genetic Links to Climate Adaptations

Natural selection may result in local adaptation to different environmental conditions across the range of a species. Understanding local adaptation, in turn, informs management decisions such as translocation to restore locally-extinct populations. We used a landscape genomics approach to detect genetic signatures of selection related to climatic variation among desert bighorn sheep populations a