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    • Journal of Range Management, Volume 56 (2003)
    • Journal of Range Management, Volume 56, Number 3 (May 2003)
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    Distribution of Russian knapweed in Colorado: climate and environmental factors

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    Author
    Goslee, S. C.
    Beck, K. G.
    Peters, D. P. C.
    Issue Date
    2003-05-01
    Keywords
    clay loam soils
    weed biology
    Acroptilon repens
    mathematical models
    prediction
    ambient temperature
    clay soils
    environmental factors
    precipitation
    invasive species
    Colorado
    altitude
    generalized additive model
    geographic information systems
    logistic regression
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    Citation
    Goslee, S. C., Beck, K. G., & Peters, D. P. C. (2003). Distribution of Russian knapweed in Colorado: Climate and environmental factors. Journal of Range Management, 56(3), 206-212.
    Publisher
    Society for Range Management
    Journal
    Journal of Range Management
    URI
    http://hdl.handle.net/10150/643428
    DOI
    10.2307/4003808
    10.2458/azu_jrm_v56i3_goslee
    Additional Links
    https://rangelands.org/
    Abstract
    Russian knapweed (Acroptilon repens (L.) DC.) was introduced to the western United States during the early 1900s. This invasive perennial was a contaminant of alfalfa seed, and was distributed widely across Colorado. Thus, current distributions reflect the climate and soils tolerances of Russian knapweed, and management history, rather than dispersal processes. We surveyed extension and weed agents across Colorado, and were able to locate 528 current or recently eliminated Russian knapweed stands. These patches were superimposed on climate and soils maps to identify 1 km grid cells that were known to contain Russian knapweed. The status of Russian knapweed within a cell was used as the dependent variable in a logistic regression model to define the environmental envelope for this species. At the scale of our analysis, Russian knapweed was most prevalent on fine-textured soils (clay and clay loam), and in warmer, drier regions of Colorado (precipitation 18-73 cm/yr, mean annual temperature 1-12 degrees C). June precipitation was the most important single factor, although nearly all environmental, annual, and monthly climatic factors were significantly related to Russian knapweed occurrence. The multivariate logistic regression model we developed was used to predict the probability of occurrence of Russian knapweed for the entire state of Colorado. Our predictions matched the areas of highest abundance of Russian knapweed from a new field survey, and also indicated areas of high risk that were not identified by the field survey.
    Type
    text
    Article
    Language
    en
    ISSN
    0022-409X
    ae974a485f413a2113503eed53cd6c53
    10.2307/4003808
    Scopus Count
    Collections
    Journal of Range Management, Volume 56, Number 3 (May 2003)

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