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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > North Central CASC ( Show direct descendants )
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This dataset includes spatial projections of the post-fire recruitment index for ponderosa pine (Pinus ponderosa) and Douglas-fir (Pseudotsuga menziesii) using climate data from different time periods (1980-1989, 1990-1999, 2000-2009, 2010-2014) and a future climate scenario of a global mean increase in temperature of two degrees Celsius. The post-fire recruitment index varies from 0 to 1 and represents the proportion of the first five years following wildfire that had climate suitable for regeneration of the given species. We chose a five-year window because the majority (69%) of recruitment across all sites in the dataset used to build our recruitment models occurred within the first five post-fire years. In the...
Categories: Data;
Tags: Pinus ponderosa,
Pseudotsuga menziesii,
US Intermountain West,
biota,
environment,
The data set evaluates the relationship between water surface area and angler effort on Devil's Lake, North Dakota. Over the last 30+ years, water levels have expanded/contracted in Devil's laking owing to variation in climate (precipitation). Positive changes (i.e. expansion) in the lake surface area results in increased fish production and angling opportunities that positively influence angler effort and the local economy.
Categories: Data;
Tags: Ecology,
USGS Science Data Catalog (SDC),
Wildlife Biology,
angler behavior,
climate change,
These model objects are the outputs of three Boosted Regression Tree models (for three different time periods) to explore the role of climate change and variability in driving ecological change and transformation. Response variables were the proportion of sites in each ecoregion with peak rates of change at 100-year time steps. Predictor variables included temperature anomaly, temperature trend, temperature variability, precipitation anomaly, precipitation trend, precipitation variability and ecoregion, also at 100-yr time steps. Models focused on the most distant time periods (0-21000 BP and 7500 - 21000 BP) show that rapid vegetation change was initiated across these landscapes once a 2 ℃ temperature increase...
Categories: Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: The Rockies,
atmospheric and climatic processes,
climate change,
vegetation
We used an individual-based plant simulation model that represents intra- and inter-specific competition for water availability, which is represented by a process-based soil water balance model. For dominant plant functional types, we quantified changes in biomass and characterized agreement among 52 future climate scenarios. We then used a multivariate matching algorithm to generate fine-scale interpolated surfaces of functional type biomass for our study area.
Categories: Data;
Tags: Artemisia tridentata,
Biological sciences,
Climate Change,
Community dynamics,
dryland,
These model objects are the outputs of two Bayesian hierarchical models (one for the Middle Rockies and one for the Southern Rockies) to explore the role of landscape characteristics in climate-driven ecological change and transformation. We used the rate of change for each site at 100-yr time steps as the response variable, and included elevation, CHILI, aspect, slope, and TPI as fixed effects in the models, run separately for each ecoregion. We included a random intercept of site to quantify the magnitude of site-level variation in rate-of-change that may be unaccounted for by our covariates.
Categories: Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: The Rockies,
atmospheric and climatic processes,
climate change,
vegetation
Note: this data release has been deprecated. Find the new version here: https://doi.org/10.5066/P9QCLGKM. This NetCDF represents the monthly inputs and outputs from a United States Geological Survey water-balance model (McCabe and Wolock, 2011) for the conterminous United States for the period 1895-01-01 to 2020-12-31. The source data used to run the water balance model is based on the National Oceanic and Atmospheric Administration's(NOAA, 2020) ClimGrid data for precipitation and temperature. This NetCDF contains the following monthly inputs: temperature (degrees Celsius) and precipitation (millimeters, mm) and the following outputs (all in mm): runoff, soil moisture storage, actual evapotranspiration, potential...
A workshop was conducted to gain insight into climate change impacts and climate-informed management actions of relevance to a habitat management plan in the North Central region. A pre-workshop and post-workshop survey were conducted.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: North Central region,
biota,
decision-making,
workshop
This database integrates a list of vegetation transformations that occurred across the Southern and Middle Rockies since 21,000 years ago, the age of occurrence, the type of vegetation switch that occurred, whether the rates of vegetation change peaked at that time, and when applicable, the duration of peak rates of vegetation change.
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: The Rockies,
atmospheric and climatic processes,
climate change,
vegetation
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