Forest Ecosystem Monitoring Cooperative

Drivers and projections of forest fragmentation in Vermont and the Northeast: Probability of deforestation and reforestation in eastern New York and northern New England through 2060

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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

    Building on previous work, this project developed several spatial data products to map forest species, forest cover, drivers of forest fragmentation, and potential risk of conversion for the entire state of Vermont as well as neighboring portions of New York, New Hampshire and Massachusetts. Within Vermont, fragmentation patterns were modeled at the scale of each Regional Planning Commission to develop drivers and risk maps tailored to each planning-relevant geography, yielding 15 extents at which modeling occurred.

People

  • Jennifer Pontius: Principal Investigator

  • James Duncan: Content Provider

  • Alison Adams: Content Provider

Keywords

  • forest conversion, landcover change,

Organizations

  • United States Department of Agriculture (USDA), Forest Service State & Private Forestry: funder
  • University of Vermont Rubenstein School of Environment and Natural Resources: lead
  • Vermont Forest Parks and Recreation : partner

Geographic Coverage

  • Coordinates
    • Coordinate System

    Data Table

    • Title: Probability of deforestation and reforestation in eastern New York and northern New England through 2060
    • Start Date: 2018-10-01
    • End Date: 2020-10-30
    • Description: This dataset is comprised of rasters of the probability of change in forest cover between 2015 and 2060. The study area comprises Landsat tiles overlapping all of Vermont, most of New Hampshire, and adjacent areas of Maine, Massachusetts and New York. Vermont probabilities are modeled at the Regional Planning Commission scale, all other states are modeled by state. Values range from 0 to 99, but note that a 99 value does not mean that the pixel is 99% likely to change by 2045. Rather, it means that it is among the set of pixels that are 99% likely to change based on their characteristics, but only a subset will get chosen for actual transition (i.e. the rates of change would not allow nearly all of these pixels to change). It is best to interpret pixels with high values as "very vulnerable."

    • Purpose:

    • Condensed Title: 20201223130526_ConversionRisk.zip

    • Object Name: VMC.1659.3419

    • Data Type: mySQL
    • Citation: Adams, A., J. Duncan, J. Pontius (2020) Probability of deforestation and reforestation in eastern New York and northern New England through 2060. Forest Ecosystem Monitoring Cooperative. Available online at: https://www.uvm.edu/femc/data/archive/project/drivers-projections-forest-fragmentation-vermont-northeast/dataset/probability-deforestation-reforestation-eastern-new-york

    • Online Distribution: https://www.uvm.edu/femc/data/archive/project/drivers-projections-forest-fragmentation-vermont-northeast/dataset/probability-deforestation-reforestation-eastern-new-york

    Attribute List

    Methods

    • No methods recorded for this dataset

    Sampling Equipment

    • No sampling equipment recorded for this dataset

    Site Characteristics

    • No site characteristics recorded for this dataset