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Full-Text Articles in Social and Behavioral Sciences
Monitoring Standing Herbage Of The Sands And Choppy Sands Ecological Vegetation Types In The Nebraska Sandhills, Daniel W. Uresk
Monitoring Standing Herbage Of The Sands And Choppy Sands Ecological Vegetation Types In The Nebraska Sandhills, Daniel W. Uresk
Great Plains Research: A Journal of Natural and Social Sciences
A modified Robel pole with white and gray alternating bands (2.54 cm) was used to measure vegetation on sands and choppy sands ecological types in the Sandhills of Nebraska. Objectives were to determine the relationship between visual obstruction readings (VOR) and clipped standing herbage, develop guidelines for monitoring standing herbage, and provide sample size estimates. Visual obstruction measurements of standing herbage were linear, and regression coefficients were significant (P< 0.001) for 125 transects (R2 = 0.60, SE = 496 kg/ha). Clipped standing herbage ranged from 293 to 4389 kg/ha with a mean of 1,559 kg/ha. A minimum of four transects (20 stations/transect with four …
Long-Term Agricultural Land-Use Trends In Nebraska, 1866–2007, Tim L. Hiller, Larkin A. Powell, Tim D. Mccoy, Jeffrey J. Lusk
Long-Term Agricultural Land-Use Trends In Nebraska, 1866–2007, Tim L. Hiller, Larkin A. Powell, Tim D. Mccoy, Jeffrey J. Lusk
Great Plains Research: A Journal of Natural and Social Sciences
Although landscape changes from anthropogenic causes occur at much faster rates than those from natural processes (e.g., geological, vegetation succession), human perception of such changes is often subjective, inaccurate, or nonexistent. Given the large-scale land-use changes that have occurred throughout the Great Plains, the potential impacts of land-use changes on ecological systems, and the insight gained from knowledge of land-use trends (e.g., to compare to wildlife population trends), we synthesized information related to land-use trends in Nebraska during 1866–2007. We discussed and interpreted known and potential causes of short- and long-term land-use trends based on agricultural and weather data; farm …