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    • Rangeland Ecology & Management, Volume 72 (2019)
    • Rangeland Ecology & Management, Volume 72, Number 4 (July 2019)
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    Cattle Grazing Distribution in Shortgrass Steppe: Influences of Topography and Saline Soils

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    Author
    Gersie, S.P.
    Augustine, D.J.
    Derner, J.D.
    Issue Date
    2019-07
    Keywords
    livestock grazing distributio
    semiarid grassland
    topographic position index
    topographic wetness index
    western Great Plains rangeland
    
    Metadata
    Show full item record
    Citation
    Samuel P. Gersie, David J. Augustine, and Justin D. Derner "Cattle Grazing Distribution in Shortgrass Steppe: Influences of Topography and Saline Soils," Rangeland Ecology and Management 72(4), 602-614, (2 July 2019). https://doi.org/10.1016/j.rama.2019.01.009
    Publisher
    Elsevier Inc.
    Journal
    Rangeland Ecology & Management
    URI
    http://hdl.handle.net/10150/675854
    DOI
    10.1016/j.rama.2019.01.009
    Additional Links
    https://rangelands.org/
    Abstract
    The distribution of livestock across heterogeneous landscapes is often uneven, which has important implications for vegetation dynamics and how rangeland managers achieve desired outcomes from these landscapes. Here, we use data from widely available digital elevation models to classify a landscape in the shortgrass steppe with subtle topographic variation using two different approaches: topographic wetness index (TWI) and topographic position classes (TPCs) derived from topographic position indices. We used global positioning system collars to track the grazing locations of cattle within replicate pastures and fit generalized linear mixed models to their locations to quantify the influence of topography on grazing distribution. In addition, we examine the influence of the presence of saline vegetation communities on cattle use of lowlands. The resulting models indicate that TPC more effectively predicts grazing distribution than TWI and that the patterns are strongest in the second half of the growing season (August − October). Model performance was improved with the inclusion of saline vegetation communities, although the magnitude of cattle grazing time in these communities was not consistent across multiple pastures. These models, in combination with local knowledge, can be used by managers to predict and manage livestock distribution even in landscapes with relatively subtle topographic variability. © 2019
    Type
    Article
    text
    Language
    en
    ISSN
    1550-7424
    EISSN
    1551-5028
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.rama.2019.01.009
    Scopus Count
    Collections
    Rangeland Ecology & Management, Volume 72, Number 4 (July 2019)

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