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Forest clearing detected in New Hampshire using remote sensing (2000-2018): Forest clearing summarized by land ownership type

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  • 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

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    Timber clearing is used for both forest management and to convert forestland to another use (e.g., agriculture or development). Examining the rate, extent, and timing of timber clearing in the state of New Hampshire (NH) is integral to understanding patterns of silviculture and forest conversion. In 1995, a group from the University of New Hampshire analyzed the amount of intensive timber clearing (e.g., clearcutting) in NH, but did not evaluate the timing or post-harvest outcome, and a follow-up analysis has not been completed since. Here, we provide a follow up to those initial assessments and specifically evaluate (1) the number, timing, and size of moderate (>20ft2/ac residual basal area) and intensive (<20ft2/ac residual basal area) timber clearings (>3 ac in size) in NH between 2000 and 2018 detected via remote sensing, (2) the proportion of those clearings determined to be intensive (i.e., clearcuts), and (3) the likely post-harvest outcome (i.e., silviculture or land use conversion).

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  • Alexandra Kosiba: dataset_eml_peopleprincipleinvestigator

  • James Duncan: dataset_eml_peopleprincipleinvestigator

  • Kyle Lombard: dataset_eml_peoplecontentprovider

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  • forest clearing, forest loss, land ownership, private land, public land, white mountain national forest,

Organizations

  • Forest Ecosystem Monitoring Cooperative (FEMC) : lead
  • New Hampshire Division of Forests and Lands : partner

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    • dataset_eml_datatabletitle: Forest clearing summarized by land ownership type
    • dataset_eml_datatablestartdate: 2000-01-01
    • dataset_eml_datatableendate: 2018-12-31
    • dataset_eml_datatabledescription: Forest clearing polygons were assigned to a county or land ownership type based on the location of its centroid. We converted the forest cover dataset by Hansen et al. (2013) to create a forest-non/forest image, where pixels with ≥30% tree cover were considered forest. We used this forest cover dataset to estimate the proportion of forestland.

    • dataset_eml_datatablepurpose: To summarize forest clearing by land ownership type.

    • dateset_eml_datatableshortname: 20200730111716_ForestLoss_Owenertype.zip

    • dataset_eml_datatablephysicalobjectname: VMC.1550.3119

    • dataset_eml_datatabledatatype: mySQL
    • dataset_eml_datatablecitation: Kosiba AM and Duncan JA (2019) Forest clearing summarized by land ownership type. FEMC. Available online at: https://www.uvm.edu/femc/data/archive/project/NHForestClearing/dataset/forest-loss-summarized-by-land-ownership

    • dataset_eml_datatableonlinedistribution: https://vmc.w3.uvm.edu/vmcdevel/CI4/data/archive/project/NHForestClearing/dataset/forest-loss-summarized-by-land-ownership

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