Skip to main content
Advanced Search

Filters: Contacts: Gary Roloff (X)

3 results (22ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
The MW CASC strives to be collaboration-driven by bringing together scientists, natural and cultural resource managers, and members of the public to develop relevant, actionable science for the Midwest region, including Minnesota, Iowa, Missouri, Wisconsin, Illinois, Michigan, Indiana, and Ohio. The MW CASC is a partnership between the U.S. Geological Survey and a consortium made up of 8 institutions: University of Minnesota (host), University of Wisconsin-Madison, Michigan State University, University of Illinois Urbana-Champaign, Indiana University, College of Menominee Nation, Great Lakes Indian Fish and Wildlife Commission, and The Nature Conservancy. During the period of 2021 - 2026, the MW CASC consortium...
thumbnail
The study seeks to provide a retrospective analysis of the relationships among bird abundance and distribution and changes in land cover and climate in the upper Midwest and Great Lakes region. The resultant models will be used to provide spatially explicit forecasts of future avian responses. Using data from the North American Breeding Bird Survey (BBS) and a hierarchical modeling framework that accounts for imperfect detection during surveys, species distribution and abundance is estimated. Historic aerial photos are being digitized and classified to measure landscape covariates. Once species-specific relationships between distribution parameters (i.e., occupancy, colonization, extinction) and landscape covariates...
thumbnail
The study seeks to provide a retrospective analysis of the relationships among bird abundance and distribution and changes in land cover and climate in the upper Midwest and Great Lakes region. The resultant models will be used to provide spatially explicit forecasts of future avian responses. Using data from the North American Breeding Bird Survey (BBS) and a hierarchical modeling framework that accounts for imperfect detection during surveys, species distribution and abundance is estimated. Historic aerial photos are being digitized and classified to measure landscape covariates. Once species-specific relationships between distribution parameters (i.e., occupancy, colonization, extinction) and landscape covariates...


    map background search result map search result map Distribution and abundance of breeding birds in the upper Midwest and Great Lakes region as influenced by climate and land cover change Report: Distribution and abundance of breeding birds in the upper Midwest and Great Lakes region as influenced by climate and land cover change Midwest Climate Adaptation Science Center Consortium - Hosted by University of Minnesota (2021-2026) Midwest Climate Adaptation Science Center Consortium - Hosted by University of Minnesota (2021-2026) Report: Distribution and abundance of breeding birds in the upper Midwest and Great Lakes region as influenced by climate and land cover change Distribution and abundance of breeding birds in the upper Midwest and Great Lakes region as influenced by climate and land cover change