Browsing by Subject "understory"

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    Maximum carbon assimilation model for understory wood plants growing at Bagley Nature Area in Duluth, MN
    (2020-05-26) O'Connell, Erin M; Savage, Jessica A; oconn877@d.umn.edu; O'Connell, Erin M; Savage research team
    These data were collected and analyzed for a project comparing the leaf phenology, carbon gain, growth, and freezing susceptibility of invasive and native species. Maximum seasonal carbon assimilation was modeled for six plants per eight species growing in a 50-year-old mixed forest. The model is based on understory light availability on sunny days, carbon dioxide assimilation rates, and leaf area adjusted in the spring for expanding leaves and in the fall for senescing leaves.
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    South Fork Caspar Creek Understory Evapotranspiration Data - 2019
    (2020-12-04) Hammerschmidt, Shelby R; Dymond, Salli F; sdymond@d.umn.edu; Dymond, Salli F
    This dataset consists of evapotranspiration rates measured from different understory trees, shrubs, and ferns at the Caspar Creek Experimental Watersheds in northern California. Evapotranspiration rates were collected from 5 species at two times (June and July 2019) across five topgraphic positions ranging from streamside up to the ridgetop. Measurement species were located across a range of disturbance severities to test the hypothesis that changing light and water dynamics from different levels of disturbance will affect understory plant water use. Evapotranspiration rates were collected using a hand-made portable rapid ET chamber.
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    Understory light environment measured in 2017 and 2018 at Bagley Nature Area in Duluth, MN
    (2020-05-26) O'Connell, Erin M; Savage, Jessica A; oconn877@d.umn.edu; O'Connell, Erin M; Savage research team
    These data were collected for a project comparing the leaf phenology, carbon gain, growth, and freezing susceptibility of invasive and native species. Understory light availability was measured above 80 understory wood shrubs using hemispherical photos, lux sensors, and photosynthetically active radiation (PAR) sensors. Light data was used to compare overstory and understory leaf phenology, and to quantify light available for carbon gain in the understory.