Forest Ecosystem Monitoring Cooperative

Experimental Ice Glazing in a Northern Hardwood Forest to Understand Ecological Impacts of Ice Storms: Fine Litter

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Metadata Provider

  • Forest Ecosystem Monitoring Cooperative

    • Address:
      705 Spear Street
      South Burlington, Vermont 05403
      United States of America

      Phone: (802) 391-4135
      Email: femc@uvm.edu
      Website: www.uvm.edu/femc

Abstract

    Using methods like those used to make snow at ski areas, researchers successfully created ice glaze on tree branches (remarkably similar to conditions during the Northeast’s 1998 Ice Storm) over a large northern hardwood forest area. This novel experimental tool will allow scientists to study controlled icing events of different intensity and frequency in different forest types. Researchers also held a workshop with ecosystem scientists, climatologists, physical scientists, computer modelers, social scientists, and industry experts to define the state-of- knowledge on ice storms and examine the nature and extent of these storms in the Northeast. In addition, they developed machine-learning algorithms which allow computer models to identify unique ice storm climatology in past weather systems to better predict ice storms in the future.

People

  • John Campbell: Principal Investigator

  • Wally Shortle: Content Provider

  • Paul Schaberg: Content Provider

  • Lindsay Rustad: Principal Investigator

Organizations

  • Northeastern States Research Cooperative : funder
  • United States Department of Agriculture (USDA), Forest Service Northern Research Station: lead

Geographic Coverage

  • Coordinates

    Data Table

    • Title: Fine Litter
    • Start Date: 2010-12-01
    • End Date: 2011-04-01
    • Description: Fine litter was collected with baskets that were placed in the center of each subplot in both treatment and control plots.

    • Purpose:

    • Condensed Title: Z1108_2500_J6FNDB

    • Object Name: VMC.1108.2500

    • Data Type: mySQL
    • Citation: Rustad and Campbel (2018) Ice Storm Fine Litter. FEMC. Available online at: https://www.uvm.edu/femc/data/archive/project/experimental-ice-glazing/dataset/ice-storm-fine-litter

    • Online Distribution: https://vmc.w3.uvm.edu/vmcdevel/data/archive/project/experimental-ice-glazing/dataset/ice-storm-fine-litter

    Attribute List

      Attribute Name: basket
      • Label: basket
      • Description: Basket ID Number
      • Storage Type: int
      • Measurment Type: nominal
      Attribute Name: g_C_m2
      • Label: g_C_m2
      • Description: Calculated carbon weight
      • Storage Type: decimal
      • Measurment Type: ratio
      • Precision: 0.1
      • Unit: gram
      • Number Type: real
      Attribute Name: g_per_basket
      • Label: g_per_basket
      • Description: Weight in basket
      • Storage Type: decimal
      • Measurment Type: ratio
      • Precision: 0.1
      • Unit: gram
      • Number Type: real
      Attribute Name: g_per_m2
      • Label: g_per_m2
      • Description: Weight after oven dried
      • Storage Type: decimal
      • Measurment Type: ratio
      • Precision: 0.1
      • Unit: gram
      • Number Type: rational
      Attribute Name: plot
      • Label: plot
      • Description: Plot Number
      • Storage Type: int
      • Measurment Type: nominal

    Methods

    • Current Methods
      • Fine Litter Calculation
        • Method Description: Baskets were left in the field for 9 days and all fine litter less than 2 cm diameter that accumulated in the baskets was collected. After the experiment, baskets in the treated plots were placed in plastic bags and transported to the laboratory where they were stored at room temperature until the ice and snow that accumulated in the baskets melted. The remaining fine litter in the basket was then oven-dried at 60 °C for 24 h and weighed. The amount of carbon in fine litter was assumed to be 50% of the oven dry mass.


    Sampling Equipment

    • No sampling equipment recorded for this dataset

    Site Characteristics

    • No site characteristics recorded for this dataset