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    • Journal of Range Management, Volume 39 (1986)
    • Journal of Range Management, Volume 39, Number 5 (September 1986)
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    Biomass Estimation for Four Common Grass Species in Northern Arizona Ponderosa Pine

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    Author
    Andariese, S. W.
    Covington, W. W.
    Issue Date
    1986-09-01
    Keywords
    Festuca arizonica
    Muhlenbergia montana
    Poa fendleriana
    Coconino National Forest
    sitanion longefolium
    ground cover plants
    basal area
    biomass determination
    allometry
    Pinus ponderosa
    prescribed burning
    rangelands
    Arizona
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    Citation
    Andariese, S. W., & Covington, W. W. (1986). Biomass estimation for four common grass species in northern Arizona ponderosa pine. Journal of Range Management, 39(5), 472-473.
    Publisher
    Society for Range Management
    Journal
    Journal of Range Management
    URI
    http://hdl.handle.net/10150/645279
    DOI
    10.2307/3899456
    Additional Links
    https://rangelands.org/
    Abstract
    Vegetation allometric relations were examined for 4 important grass species in southwestern ponderosa pine (Pinus ponderosa). Logarithmic regressions were developed relating aboveground biomass to basal area, height, and number of seedheads, as well as 3 factors: overstory type (pole, yellow pine), burning treatment (unburned, prescribed burn 2-, 5-, and 7-yr previously), and site (3 locations). Basal area was defined as longest basal diameter multiplied by the widest perpendicular diameter. Of the metric variables, basal area proved to be the best predictor of biomass. Height and number of seedheads did little to increase R2 values. Burning treatment was a significant factor for Sitanion longefolium and Muhlenbergia montana. Overstory type significantly affected Poa fenderiana and Festuca arizonica equations. Site effects were important for all but Sitanion longefolium. When biomass regressions are used for species such as these, sampling efficiency can be improved by including factors such as overstory type, burning history, and locale. Final regression equations relating biomass of each species to basal area and significant factors were significant at p<0.05 and had adjusted R2 values ranging from 0.81 to 0.87. A validation test using 20% of the data not used in developing the regressions indicated that these equations are adequate predictors. When used with double sampling, weight prediction based on basal area indices should provide a more objectively measured predictor than percent cover.
    Type
    text
    Article
    Language
    en
    ISSN
    0022-409X
    ae974a485f413a2113503eed53cd6c53
    10.2307/3899456
    Scopus Count
    Collections
    Journal of Range Management, Volume 39, Number 5 (September 1986)

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