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You searched for +publisher:"Colorado State University" +contributor:("Woodmansee, Robert George"). Showing records 1 – 2 of 2 total matches.

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Colorado State University

1. Coffin, Debra P. Gap-phase dynamics and succession in the shortgrass steppe.

Degree: PhD, Range Science, 1988, Colorado State University

Previous conceptualizations of succession in shortgrass plant communities have focused on the effects of large-scale disturbances with the conclusion that the dominant plant species, blue grama [Bouteloua gracilis (H.B.K.) Lag. ex Griffiths] fails to recover after a disturbance. My overall objective was to apply a gap dynamics approach based on small, frequently-occurring disturbances to shortgrass plant communities with the hypothesis that the death of a fullsize B. gracilis plant results in a gap in the belowground resource space and initiates the successional processes of gap dynamics. I concluded that a gap dynamics conceptualization of shortgrass communities provides a promising alternative to a conceptual model that emphasizes the effects of large disturbances. My first objective was to evaluate the effects of three small, patch-producing disturbances (cattle fecal pats, western harvester ant mounds, and small animal burrows) on B. gracilis-dominated plant communities by developing a spatially-explicit simulation model. Propagating the effects of these disturbances through time suggested that B. gracilis is able to recover after small disturbances. My second objective was to evaluate the short-term successional dynamics on small disturbances. I conducted a field study to evaluate the effects of three types of disturbances and their associated characteristics of size, seasonality, and location by soil texture on the recovery of plants. The density and cover of plants on the two naturally-occurring disturbances (western harvester ant mounds and small animal burrows) were dominated by perennials one year after the disturbances occurred while the majority of the cover on the artificially-produced disturbances was attributed to annuals. My third objective was to evaluate the long-term successional dynamics on small disturbances and the time required for B. gracilis to recover after a disturbance. I developed a gap dynamics simulation model based on the belowground gap in the resource space that results when an individual B. gracilis plant dies. The faster recovery time of B. gracilis in the model than observed experimentally on large disturbances suggests that processes associated with the recovery of B. gracilis may be scale-dependent. Advisors/Committee Members: Lauenroth, William K. (advisor), Redente, Edward F. (committee member), Woodmansee, Robert George (committee member), Kirchner, Thomas B. (committee member).

Subjects/Keywords: Grassland ecology  – Mathematical models

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APA (6th Edition):

Coffin, D. P. (1988). Gap-phase dynamics and succession in the shortgrass steppe. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/82135

Chicago Manual of Style (16th Edition):

Coffin, Debra P. “Gap-phase dynamics and succession in the shortgrass steppe.” 1988. Doctoral Dissertation, Colorado State University. Accessed April 10, 2021. http://hdl.handle.net/10217/82135.

MLA Handbook (7th Edition):

Coffin, Debra P. “Gap-phase dynamics and succession in the shortgrass steppe.” 1988. Web. 10 Apr 2021.

Vancouver:

Coffin DP. Gap-phase dynamics and succession in the shortgrass steppe. [Internet] [Doctoral dissertation]. Colorado State University; 1988. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10217/82135.

Council of Science Editors:

Coffin DP. Gap-phase dynamics and succession in the shortgrass steppe. [Doctoral Dissertation]. Colorado State University; 1988. Available from: http://hdl.handle.net/10217/82135


Colorado State University

2. White, Boyd Winston. Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground.

Degree: MS(M.S.), Forest, Rangeland, and Watershed Stewardship, 2009, Colorado State University

This study was designed to validate the use of Geological Information Systems (GIS) for creating a predictive habitat model that produces raster maps of acceptable habitats for Burrowing Owls, Athene cunicularia (ATCU). The model was designed to locate ATCU habitat for long-term monitoring purposes at U.S. Army Dugway Proving Ground. ArcGIS 9 was used to manipulate data from three data layers: Southwest Regional Gap Analysis vegetation layer, slope data, and proximity to edge. A weighted index was assigned to individual pixels. The weighted index was a product of the weighting factors (0.45, 0.35, and 0.25 for vegetation types, slope and proximity, respectively times the index (3, 2, 1, 0 for excellent, fair, poor and non-habitat, respectively). The display layer was the sum of the weighted layers. The display was Excellent, Fair, Poor and Non- Habitat. Visual and auditory field observations were conducted in each of the four habitat delineations to validate the models predictive capability. In conclusion, we could not discriminate Excellent, Fair, Poor, or Non-habitat, based on the two proportions test and the Z-statistic at the 80% Confidence Interval. Validation was hampered by the low incidence of ATCU sightings in the 2008 season. Advisors/Committee Members: Rittenhouse, Larry R. (advisor), Bunnell, Kevin D. (advisor), Woodmansee, Robert George (committee member), Peel, Kraig R. (committee member).

Subjects/Keywords: U.S. Army Dugway Proving Ground; DPG; burrowing owls; ATCU; habitat; geological information systems; GIS; Burrowing owl  – Dugway Proving Ground (Utah); Habitat (Ecology)  – Dugway Proving Ground (Utah); Geographic information systems  – Dugway Proving Ground (Utah); Athene cunicularia

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

White, B. W. (2009). Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/22103

Chicago Manual of Style (16th Edition):

White, Boyd Winston. “Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground.” 2009. Masters Thesis, Colorado State University. Accessed April 10, 2021. http://hdl.handle.net/10217/22103.

MLA Handbook (7th Edition):

White, Boyd Winston. “Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground.” 2009. Web. 10 Apr 2021.

Vancouver:

White BW. Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground. [Internet] [Masters thesis]. Colorado State University; 2009. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10217/22103.

Council of Science Editors:

White BW. Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground. [Masters Thesis]. Colorado State University; 2009. Available from: http://hdl.handle.net/10217/22103

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