Browsing by Subject "grassland birds"
Now showing items 1-6 of 6
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Another tool in the toolbox? Using fire and grazing to promote bird diversity in highly fragmented landscapes
(Ecological Society of America, 2011-03-08)The grasslands of central North America have experienced drastic reductions in extent, removal of historic disturbance patterns, and homogenization of remaining fragments. This has resulted in steep declines for a broad ... -
Avian response to landscape change in fragmented southern Great Plains grasslands
(Ecological Society of America, 2001)We examined the dynamics of avian communities associated with fragmented grasslands in Oklahoma, USA, using long-term (1965-1995) raw (stop-level) data from the Breeding Bird Survey (BBS). Aerial photography was used to ... -
Habitat Use by Birds in the Northern Shortgrass Prairie of North America: a Local and Landscape Approach
(Oklahoma State University, 2007-05-01)My research examines habitat use by birds breeding in the northern shortgrass prairie of North America. Results indicate that bird communities differ among shortgrass prairie, CRP, and dryland agriculture. Three species ... -
Restored Heterogeneity as a Conservation Strategy for Grassland Birds
(Oklahoma State University, 2014-05-01)Grasslands are inherently dynamic in space and time evolving with frequent disturbance from fire and herbivores. Throughout much of the world, grasslands have been converted and fragmented and many remaining grasslands ... -
Spatial heterogeneity increases diversity and stability in grassland bird communities
(Ecological Society of America, 2015)Grasslands are inherently dynamic in space and time, evolving with frequent disturbance from fire and herbivores. As a consequence of human actions, many remaining grasslands have become homogenous, which has led to reduced ... -
Varying dataset resolution alters predictive accuracy of spatially explicit ensemble models for avian species distribution
(2018-12-06)Species distribution models can be made more accurate by use of new “Spatiotemporal Exploratory Models” (STEMs), a type of spatially explicit ensemble model (SEEM) developed at the continental scale that averages regional ...