Regional Forest Health Monitoring: Nested Tree Identifying Information (CT, MA, ME, NY)
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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
The Forest Health Monitoring Program (FHM) was established in 1991 as a joint effort between the Vermont Department of Forests, Parks and Recreation (FPR) and the Forest Ecosystem Monitoring Cooperative (FEMC)) to monitor the condition of a range of tree species in Vermont. After successfully establishing and conducting annual assessments on FHM plots in Vermont for almost three decades, the FEMC has expanded to surrounding states to yield a more complete picture of forest health across the New England and New York region. In 2019, the FEMC collaborated with MA DCR to establish 20 FHM plots on MA state lands to add to its annual FHM network. In 2020 the FEMC expanded to CT (15 plots), RI (7 plots), ME (35 plots), and NH (30 plots) to add permanent FHM plots in a similar manner. To improve comparability and utility of each program, the FHM plots were co-located at established, long-term plot locations, representing the major forest types and geographies on public lands in each state. Plot designs follow two fixed radius plot layouts - Cluster and Nested. Cluster plots follow the USDA Forest Inventory and Analysis cluster of four circular subplots. Nested plot design refers to a single fixed radius nested plot design exemplified by the MA DRC CFI program. These plot designs follow the structure set by the National Forest Health Monitoring Program with additional metrics added to reflect improvements in monitoring technologies and additions to monitoring objectives.
► People
- Jennifer Pontius: Principal Investigator
- Alison Adams: Principal Investigator
- Matthias Sirch: Content Provider
- Nancy Voorhis: Content Provider
- Soren Donisvitch: Principal Investigator
- Ben Porter: Principal Investigator
► Organizations
- Forest Ecosystem Monitoring Cooperative (FEMC) : lead
- Connecticut Agricultural Experiment Station : partner
- Maine Forest Service : partner
- Massachusetts Department of Conservation and Recreation : partner
- Vermont Forest Parks and Recreation : partner
- University of Rhode Island Department of Natural Resources Science: partner
► Geographic Coverage
- Coordinates
► Data Table
- Title: Nested Tree Identifying Information (CT, MA, ME, NY)
- Start Date: 2019-08-13
- Description: This dataset contains the basic tree info for the nested plot style such as plot ID, location within the plot (distance and azimuth), and species
- Purpose: Identify a tree based off the existing data from previous years in order to continue monitoring efforts from year to year.
- Condensed Title: Z1734_3821_W84AD9
- Object Name: VMC.1734.3821
- Data Type: mySQL
- Citation: Forest Ecosystem Monitoring Cooperative (2023) Nested Tree Identifying Information (CT, MA, ME, NY). FEMC. Available online at: https://www.uvm.edu/femc/data/archive/project/regional-forest-health-monitoring/dataset/nested-plot-tree-identifying-information
- Online Distribution: https://vmc.w3.uvm.edu/vmcdevel/data/archive/project/regional-forest-health-monitoring/dataset/nested-plot-tree-identifying-information
► Attribute List
- Attribute Name: Azimuth
- Label: Azimuth
- Storage Type: int
- Attribute Name: Distance
- Label: Distance
- Storage Type: decimal
- Attribute Name: DistanceMethod
- Label: DistanceMethod
- Storage Type: text
- Measurment Type: nominal
- Attribute Name: OriginTreeID
- Label: OriginTreeID
- Storage Type: text
- Measurment Type: nominal
- Attribute Name: PlotID
- Label: PlotID
- Storage Type: text
- Measurment Type: nominal
- Attribute Name: Species
- Label: Species
- Storage Type: int
- Attribute Name: TreeID
- Label: TreeID
- Storage Type: int
► 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