Skip to main content
Advanced Search

Filters: Tags: North Central CASC (X)

355 results (52ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
The NC CASC supports co-produced actionable science, data-intensive discovery, and open science to support tribal, federal, state, and local natural resource managers and decision-makers in the North Central region, which serves Colorado, Wyoming, Montana, North Dakota, South Dakota, Kansas and Nebraska. NC CASC is hosted by the University of Colorado Boulder (CU Boulder) within the Cooperative Institute for Research in Environmental Sciences , and is a partnership between CU Boulder, the U.S. Geological Survey, and five consortium partners: University of Montana; South Dakota State University; Conservation Science Partners; Wildlife Conservation Society; and Great Plains Tribal Water Alliance. During the period...
thumbnail
Even when faced with uncertainty about future climate conditions, resource managers are tasked with making planning and adaptation decisions that impact important natural and cultural resources. Species distribution models are widely used by both researchers and managers to estimate species responses to climate change. These models combine data on environmental variables (e.g., temperature, precipitation) with field samples of a species’ presence, absence, and/or abundance to project and visualize potential habitat of the species across space and time. However, species distribution modeling software previously developed and supported by USGS (the Software for Assisted Habitat Modeling [SAHM] package for VisTrails)...
thumbnail
The Bureau of Land Management (BLM) manages the largest area of public lands in the United States. Decision-making on BLM lands is complex because managers have to balance diverse, sometimes conflicting, resources, uses, and values. Land managers are more likely to achieve long-term land management goals and balance multiple desired uses and values across public landscapes when their decisions are informed by the best available science, including climate science. Strengthening the use of science and climate information in federal decision making is a priority for the current administration and for federal agencies, including the BLM. The Climate Adaptation Science Centers are committed to developing climate science...
The HPRCC has an established partnership with the North Central Climate Science Center (NC CSC) and has enjoyed collaborating on regional projects since its inception. Housed at Colorado State University in Fort Collins, the NC CSC is one of eight such centers that were established in 2010 within the U.S. Department of the Interior. The mission of the Climate Science Centers is to help meet the changing needs of land and resource managers across the U.S. (For more information on the Climate Science Centers, please visit: https://www.doi.gov/csc/about.) The NC CSC collaborates with a consortium of nine institutions that provide expertise in climate science and sectors impacted by climate. The University of Nebraska-Lincoln,...
thumbnail
Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC.
thumbnail
This dataset provides downscaled climate projections at 800m spatial resolution for nine ecologically-relevant climate variables for the north central US region between 35.5N-49N latitude and 88W-118W longitude from the National Center of Atmospheric Research (USA) model, CCSM4, simulations (r6i1p1) from two emissions scenarios (RCP 4.5 and 8.5), which are downscaled using the Multivariate Adaptive Constructed Analog (MACA) method. These projections are available as five different (approximately) 30-year climate normals between 1950 and 2099 as monthly values, except for Aridity Index which are annual values. The five periods for which these climate normals are provided are 1950-1979 and 1980-2005 in the historic,...
Projected suitable habitat models were constructed using a set of presence points for the species derived from element occurrence and herbarium records, together with temperature, precipitation, and soil variables. The current distribution used modeled historic period (1970-2000) climate variables from the appropriate matching GCM model run. These model parameters were then used with projected climate data to get future (2020-2050) modeled suitable habitat for each scenario. Modeled past suitable habitat and modeled future suitable habitat are combined to show areas of change, using various thresholds to distinguish change categories, as well as comparison to current mapped habitats from SWReGAP landcover (USGS...
Abstract: (From: Wiley Online Library) Relative agricultural productivity shocks emerging from climate change will alter regional cropland use. Land allocations are sensitive to crop profits that in turn depend on yield effects induced by changes in climate and technology. We develop and apply an integrated framework to assess the impact of climate change on agricultural productivity and land use for the U.S. Northern Great Plains. Crop‐specific yield‐weather models reveal crop comparative advantage due to differential yield impacts of weather across the region's major crops, i.e., alfalfa, wheat, soybeans and maize. We define crop profits as a function of the weather‐driven yields, which are then used to model...
Phenology is a valuable diagnostic of ecosystem health, and has applications to environmental monitoring and management. Here, we conduct an intercomparison analysis using phenological transition dates derived from near-surface PhenoCam imagery and MODIS satellite remote sensing. We used approximately 600 site-years of data, from 128 camera sites covering a wide range of vegetation types and climate zones. During both “greenness rising” and “greenness falling” transition phases, we found generally good agreement between PhenoCam and MODIS transition dates for agricultural, deciduous forest, and grassland sites, provided that the vegetation in the camera field of view was representative of the broader landscape....
thumbnail
Climate change is poised to alter natural systems, the frequency of extreme weather, and human health and livelihoods. In order to effectively prepare for and respond to these challenges in the north-central region of the U.S., people must have the knowledge and tools to develop plans and adaptation strategies. This project was a continuation of an effort begun in 2013 to build stakeholders’ capacity to respond to climate change in the north-central U.S. During the course of this project, researchers focused on two major activities: Tribal Capacity Building: Researchers provided tribal colleges and universities with mini-grants to develop student projects to document climate-related changes in weather and culturally...
thumbnail
Climate affects both the demographics of the Greater sage-grouse bird and the condition and long-term viability of their habitats, including sage-steppe communities. This project builds on collaboration among federal land managers, state wildlife biologists, scientists, and other organizations to create a long-term framework for implementing adaptive management for the sage-grouse. The study examined factors that might be limiting grouse numbers and will investigate components of weather patterns in relation to projected climate change models. Precipitation and temperature, as well as variables such as evaporation and soil moisture, will be considered. Overall, the project focused on (1) providing workshops to foster...
thumbnail
A central goal of the North Central Climate Science Center (NC CSC) is to bring together the latest data, tools, and knowledge on the impacts of climate change to the hands of the region’s natural and cultural resource managers. To meet this goal, the NC CSC implemented three sub-projects which (1) organized a workshop aimed at developing an information technology framework for data integration related to climate change impacts on ecosystems and landscape conservation; (2) evaluated data and information exchange protocols and identified analytical needs; and (3) coordinated an assessment of the impacts of climate change across the Great Plains region, which contributed to the identification of potential adaptation...
thumbnail
Throughout western North America, warming associated with climate change is leading to both earlier spring peak streamflows and earlier seed dispersal, potentially reducing seedling establishment and in turn reducing the quality of riparian (near-river) forests, which provide critical habitat for diverse birds, mammals, reptiles, amphibians, and insects, and food and shade for fish and other aquatic animals. This project aimed to predict these effects of climate change on cottonwood and willow tree regeneration in western forests by linking models of seed dispersal timing, streamflow hydrology, and seedling establishment, focusing on the upper South Platte River Basin as a study area. Results are expected to help...
thumbnail
Dry stream sections are characteristic of most prairie streams. Native fish are highly adapted to variable environments, using refuge habitats (e.g., remaining wet stream fragments) to recolonize areas after seasonal drying. However, dams and other barriers can prevent recolonization of seasonally-dry stream sections habitats known to be critical spawning and rearing areas for many species. This phenomenon will likely become more common as climate change causes increasingly severe droughts, and larger sections of streams become seasonally dry. This could lead to local loss of native prairie fishes, an already at-risk group. Fisheries managers in Wyoming and Montana have limited data on climate impacts to prairie...
thumbnail
Southwestern Colorado is already experiencing the effects of climate change in the form of larger and more severe wildfires, prolonged drought, and earlier snowmelt. Climate scientists expect the region to experience more summer heat waves, longer-lasting and more frequent droughts, and decreased river flow in the future. These changes will ultimately impact local communities and challenge natural resource managers in allocating water under unpredictable drought conditions, preserving forests in the face of changing fire regimes, and managing threatened species under shifting ecological conditions. In light of the wide-ranging potential impacts of climate change in the region, this project sought to help decision-makers...
map background search result map search result map Projecting Future Climate Effects on Cottonwood and Willow Seed Dispersal and Tree Regeneration in Western Riparian Forests Integrating Climate and Biological Data into Management Decisions for the Greater Sage-­Grouse and their Habitats Evaluating Data Needs and Capacity in the North Central Region and Coordinating an Assessment of Regional Climate Impacts Building Social and Ecological Resilience to Climate Change in Southwestern Colorado: Phase 1 Continued Capacity Building in the North-Central U.S.: Tribal Engagement and PhenoCam Analysis CCSM4: Downscaled climate projections at 800m spatial resolution for the north central United States based on the Multivariate Adaptive Constructed Analog (MACA) method Land use change and fragmentation of Yellowstone Greater Wildland Ecosystems (GWE) using LANDFIRE data North Central Climate Adaptation Science Center Consortium - Hosted by The University of Colorado Boulder (2018-2023) Developing A New Software Package to Enhance Species Distribution Model Functionality The Implications of Stream Fragmentation for Climate Change Resilience of Northern Prairie Fishes Short Science Syntheses and NEPA Analyses for Climate-Informed Land Management Decisions in Sagebrush Rangelands Projecting Future Climate Effects on Cottonwood and Willow Seed Dispersal and Tree Regeneration in Western Riparian Forests Building Social and Ecological Resilience to Climate Change in Southwestern Colorado: Phase 1 Integrating Climate and Biological Data into Management Decisions for the Greater Sage-­Grouse and their Habitats Land use change and fragmentation of Yellowstone Greater Wildland Ecosystems (GWE) using LANDFIRE data The Implications of Stream Fragmentation for Climate Change Resilience of Northern Prairie Fishes Evaluating Data Needs and Capacity in the North Central Region and Coordinating an Assessment of Regional Climate Impacts Continued Capacity Building in the North-Central U.S.: Tribal Engagement and PhenoCam Analysis North Central Climate Adaptation Science Center Consortium - Hosted by The University of Colorado Boulder (2018-2023) Developing A New Software Package to Enhance Species Distribution Model Functionality CCSM4: Downscaled climate projections at 800m spatial resolution for the north central United States based on the Multivariate Adaptive Constructed Analog (MACA) method Short Science Syntheses and NEPA Analyses for Climate-Informed Land Management Decisions in Sagebrush Rangelands