Data from the "Tree Quality Outcomes of Silvicultural Treatments” study at the Penobscot Experimental Forest

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Kenefic, Laura S.
Originator: Gerndt, Kathryn M.
Originator: Rogers, Nicole S.
Originator: Castle, Mark E.
Originator: Weiskittel, Aaron R.
Publication_Date: 2018
Title:
Data from the "Tree Quality Outcomes of Silvicultural Treatments” study at the Penobscot Experimental Forest
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2018-0060
Description:
Abstract:
This data publication contains tree quality assessments from the Penobscot Experimental Forest (PEF) in Bradley and Eddington, Maine, USA. Trees were assessed using one or more of the following criteria: merchantable or unmerchantable (cull); acceptable growing stock (AGS) or unacceptable growing stock (UGS); and by tree form and risk codes. AGS trees are those that observers expected to maintain or increase in value; UGS are high risk or low quality trees not expected to maintain or increase in value (individual protocols used for datasets being presented are described in detail in the Methodology section of this publication). Data presented in this publication were collected by researchers at the U.S. Forest Service (FS), Northern Research Station, and University of Maine (UM) School of Forest Resources in permanent sample plots (PSP) between 2012 and 2015. All data were collected in management units (MUs) assigned to either the Compartment Management Study (CMS) or the Management Intensity Demonstration (MID) at the PEF, both of which are long-term studies.
Purpose:
As tree quality inevitably relates to past silvicultural treatments and stand history, tracking the outcomes of management activities informs land managers of the potential benefits or disadvantages of various silvicultural prescriptions. Because silvicultural treatments have been applied in the study areas on the PEF since the 1950s, tree quality outcomes are related to the silvicultural prescriptions over the past half-century, providing managers information about potential outcomes in similar environs. Furthermore, the ability to assist land managers in determining the proportion of trees of different quality categories can not only help determine potential income from forest management but also inform important considerations such as wildlife habitat, nutrient recycling, or structural diversity.
Supplemental_Information:
We strongly recommend that users read the accompanying documentation provided with the full data publication download before proceeding with data summary or analysis. Refer to the Entity and Attributes section of the metadata for a list of commonly used acronyms and abbreviations.

Original metadata date was 11/13/2018. Minor metadata updates on 09/06/2019.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2012
Ending_Date: 2015
Currentness_Reference:
Ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Irregular
Spatial_Domain:
Description_of_Geographic_Extent:
The 3855-acre Penobscot Experimental Forest (PEF) is located in the towns of Bradley and Eddington, Maine, USA. Tree quality data were collected in the Compartment Management Study (CMS) and Management Intensity Demonstration (MID), located on approximately 700 acres in the northern half of the PEF.
Bounding_Coordinates:
West_Bounding_Coordinate: -68.64430
East_Bounding_Coordinate: -68.58620
North_Bounding_Coordinate: 44.87260
South_Bounding_Coordinate: 44.82690
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: biota
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Forest & Plant Health
Theme_Keyword: Botany
Theme_Keyword: Inventory, Monitoring, & Analysis
Theme_Keyword: Monitoring
Theme_Keyword: Natural Resource Management & Use
Theme_Keyword: Forest management
Theme_Keyword: Timber
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: silviculture
Theme_Keyword: species composition
Theme_Keyword: timber supply
Theme_Keyword: forest stand dynamics
Theme_Keyword: tree height
Theme_Keyword: tree quality
Theme_Keyword: growing stock
Theme_Keyword: acceptable growing stock
Theme_Keyword: unacceptable growing stock
Theme_Keyword: merchantable
Theme_Keyword: submerchantable
Theme_Keyword: cull
Theme_Keyword: pulp
Theme_Keyword: balsam fir
Theme_Keyword: red spruce
Theme_Keyword: woody plants
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Penobscot Experimental Forest
Place_Keyword: Maine
Taxonomy:
Keywords/Taxon:
Taxonomic_Keyword_Thesaurus:
None
Taxonomic_Keywords: plants
Taxonomic_Keywords: multiple species
Taxonomic_System:
Identification_Reference:
Citation_Information:
Originator: ITIS
Publication_Date: 2018
Title:
Integrated Taxonomic Information System
Geospatial_Data_Presentation_Form: database
Other_Citation_Details:
Retrieved [November, 9, 2018]
Online_Linkage: https://www.itis.gov/
Taxonomic_Procedures:
Taxonomic_Classification:
Taxon_Rank_Name: Kingdom
Taxon_Rank_Value: Plantae
Applicable_Common_Name: plantes
Applicable_Common_Name: Planta
Applicable_Common_Name: Vegetal
Applicable_Common_Name: plants
Taxonomic_Classification:
Taxon_Rank_Name: Subkingdom
Taxon_Rank_Value: Viridiplantae
Applicable_Common_Name: green plants
Taxonomic_Classification:
Taxon_Rank_Name: Infrakingdom
Taxon_Rank_Value: Streptophyta
Applicable_Common_Name: land plants
Taxonomic_Classification:
Taxon_Rank_Name: Superdivision
Taxon_Rank_Value: Embryophyta
Taxonomic_Classification:
Taxon_Rank_Name: Division
Taxon_Rank_Value: Tracheophyta
Applicable_Common_Name: vascular plants
Applicable_Common_Name: tracheophytes
Taxonomic_Classification:
Taxon_Rank_Name: Subdivision
Taxon_Rank_Value: Spermatophytina
Applicable_Common_Name: spermatophytes
Applicable_Common_Name: seed plants
Applicable_Common_Name: phanérogames
Taxonomic_Classification:
Taxon_Rank_Name: Class
Taxon_Rank_Value: Magnoliopsida
Taxonomic_Classification:
Taxon_Rank_Name: Superorder
Taxon_Rank_Value: Asteranae
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Lamiales
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Oleaceae
Applicable_Common_Name: olives
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Fraxinus
Applicable_Common_Name: ash
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Fraxinus americana
Applicable_Common_Name: white ash
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Fraxinus nigra
Applicable_Common_Name: black ash
Taxonomic_Classification:
Taxon_Rank_Name: Superorder
Taxon_Rank_Value: Rosanae
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Fagales
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Fagaceae
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Quercus
Applicable_Common_Name: chêne
Applicable_Common_Name: oak
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Fagus
Applicable_Common_Name: beech
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Fagus grandifolia
Applicable_Common_Name: American beech
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Betulaceae
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Taxon_Rank_Value: Betula alleghaniensis
Applicable_Common_Name: yellow birch
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Betula papyrifera
Applicable_Common_Name: paper birch
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Betula populifolia
Applicable_Common_Name: gray birch
Taxonomic_Classification:
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Taxon_Rank_Value: Ostrya
Applicable_Common_Name: hophornbeam
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Ostrya virginiana
Applicable_Common_Name: eastern hophornbeam
Applicable_Common_Name: hophornbeam
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Sapindales
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Sapindaceae
Applicable_Common_Name: soapberries
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Taxon_Rank_Name: Genus
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Taxon_Rank_Name: Species
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Applicable_Common_Name: red maple
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Taxon_Rank_Value: Acer saccharum
Applicable_Common_Name: sugar maple
Taxonomic_Classification:
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Taxon_Rank_Name: Family
Taxon_Rank_Value: Salicaceae
Applicable_Common_Name: willows
Applicable_Common_Name: saules
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Populus
Applicable_Common_Name: cottonwood
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Populus tremuloides
Applicable_Common_Name: quaking aspen
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Populus grandidentata
Applicable_Common_Name: bigtooth aspen
Taxonomic_Classification:
Taxon_Rank_Name: Class
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Applicable_Common_Name: conifers
Taxonomic_Classification:
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Taxon_Rank_Value: Pinidae
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Pinales
Applicable_Common_Name: pines
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Pinaceae
Applicable_Common_Name: pines
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Abies
Applicable_Common_Name: fir
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Abies balsamea
Applicable_Common_Name: balsam fir
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Picea
Applicable_Common_Name: spruce
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Picea rubens
Applicable_Common_Name: red spruce
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Picea glauca
Applicable_Common_Name: Black Hills spruce
Applicable_Common_Name: Canadian spruce
Applicable_Common_Name: cat spruce
Applicable_Common_Name: skunk spruce
Applicable_Common_Name: western white spruce
Applicable_Common_Name: white spruce
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Picea mariana
Applicable_Common_Name: black spruce
Applicable_Common_Name: bog spruce
Applicable_Common_Name: shortleaf black spruce
Applicable_Common_Name: swamp spruce
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Pinus
Applicable_Common_Name: pine
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Pinus resinosa
Applicable_Common_Name: red pine
Applicable_Common_Name: Norway pine
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Pinus strobus
Applicable_Common_Name: eastern white pine
Applicable_Common_Name: white pine
Applicable_Common_Name: northern white pine
Applicable_Common_Name: soft pine
Applicable_Common_Name: Weymouth pine
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Tsuga
Applicable_Common_Name: hemlock
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Tsuga canadensis
Applicable_Common_Name: Canada hemlock
Applicable_Common_Name: hemlock spruce
Applicable_Common_Name: eastern hemlock
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Larix
Applicable_Common_Name: larch
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Larix laricina
Applicable_Common_Name: tamarack
Applicable_Common_Name: Alaskan larch
Applicable_Common_Name: American larch
Applicable_Common_Name: eastern larch
Applicable_Common_Name: hackmatack
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Cupressaceae
Applicable_Common_Name: cypress
Applicable_Common_Name: redwood
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Thuja
Applicable_Common_Name: arborvitae
Applicable_Common_Name: cèdre
Applicable_Common_Name: thuya
Applicable_Common_Name: red cedar
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Thuja occidentalis
Applicable_Common_Name: arborvitae
Applicable_Common_Name: cèdre-thuya occidental
Applicable_Common_Name: eastern white cedar
Applicable_Common_Name: northern white cedar
Applicable_Common_Name: swamp cedar
Applicable_Common_Name: thuier cèdre
Access_Constraints: None
Use_Constraints:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Kenefic, Laura S.; Gerndt, Kathryn M.; Rogers, Nicole S; Castle, Mark E.; Weiskittel, Aaron R. 2018. Data from the "Tree Quality Outcomes of Silvicultural Treatments” study at the Penobscot Experimental Forest. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0060
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Laura Kenefic
Contact_Organization: USDA Forest Service, Northern Research Station
Contact_Address:
Address_Type: mailing and physical
Address: 54 Government Road
City: Bradley
State_or_Province: ME
Postal_Code: 04411
Country: USA
Contact_Voice_Telephone: 207-581-2794
Contact_Electronic_Mail_Address: lkenefic@fs.fed.us
Browse_Graphic:
Browse_Graphic_File_Name: \Supplements\PEF_TreeQuality_Map.pdf
Browse_Graphic_File_Description:
Map showing the location of management units (MUs) in the PEF studies (Compartment Management Study and Management Intensity Demonstration) that were used for assessment of tree quality attributes.
Browse_Graphic_File_Type: PDF
Data_Set_Credit:
Data for this study are provided by a unit of the USDA Forest Service, Northern Research Station located at the Penobscot Experimental Forest in Maine, in association with the University of Maine, School of Forest Resources in Orono, Maine. Funding for collection of these data was provided by the USDA Forest Service, Northeastern States Research Cooperative, and the University of Maine, Cooperative Forestry Research Unit.
Native_Data_Set_Environment:
Experiment data are primarily managed in a Microsoft Access relational database management system.
Cross_Reference:
Citation_Information:
Originator: Kenefic, Laura S.
Originator: Rogers, Nicole S.
Originator: Puhlick, Joshua J.
Originator: Waskiewicz, Justin D.
Originator: Brissette, John C.
Publication_Date: 2015
Title:
Overstory tree and regeneration data from the "Silvicultural Effects on Composition, Structure, and Growth" study at Penobscot Experimental Forest
Edition: 2nd
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2012-0008-2
Cross_Reference:
Citation_Information:
Originator: Waskiewicz, Justin D.
Originator: Kenefic, Laura S.
Originator: Puhlick, Joshua J.
Originator: Rogers, Nicole S.
Originator: Brissette, John C.
Publication_Date: 2014
Title:
Overstory tree and regeneration data from the "Management Intensity Demonstration" study at Penobscot Experimental Forest
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2014-0003
Cross_Reference:
Citation_Information:
Originator: Brissette, John C.
Originator: Kenefic, Laura S.
Publication_Date: 2014
Title:
Centerpiece of research on the Penobscot Experimental Forest: The U.S. Forest Service long-term silvicultural study
Geospatial_Data_Presentation_Form: document
Publication_Information:
Publication_Place: Newtown Square, PA
Publisher: U.S. Department of Agriculture, Forest Service, Northern Research Station
Online_Linkage: https://www.fs.usda.gov/treesearch/pubs/45577
Larger_Work_Citation:
Citation_Information:
Originator: Kenefic, Laura S.
Originator: Brissette, John C., comps.
Publication_Date: 2014
Title:
Penobscot Experimental Forest: 60 years of research and demonstration in Maine, 1950-2010
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: Gen. Tech. Rep.
Issue_Identification: NRS-P-123
Publication_Information:
Publication_Place: Newtown Square, PA
Publisher: U.S. Department of Agriculture, Forest Service, Northern Research Station
Other_Citation_Details:
31-61
Online_Linkage: https://www.fs.usda.gov/treesearch/pubs/45567
Cross_Reference:
Citation_Information:
Originator: Rogers, Nicole S.
Originator: Kenefic, Laura S.
Publication_Date: 2017
Title:
The Cutting Practice Level study at the Penobscot Experimental Forest in Maine
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Journal of Forestry
Issue_Identification: 115(1): 58-61
Online_Linkage: https://doi.org/10.5849/jof.16-006
Cross_Reference:
Citation_Information:
Originator: Rogers, Nicole S.
Originator: Kenefic, Laura S.
Originator: Crandall, Mindy
Originator: Seymour, Robert
Originator: Sendak, Paul
Publication_Date: 2017
Title:
Sixty years of silviculture in a northern conifer forest in Maine, USA
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Forest Science
Issue_Identification: 64(1): 102-111
Online_Linkage: https://www.fs.usda.gov/treesearch/pubs/54810
Cross_Reference:
Citation_Information:
Originator: Sendak, Paul E.
Originator: Brissette, John C.
Originator: Frank, Robert M.
Publication_Date: 2003
Title:
Silviculture affects composition, growth, and yield in mixed northern conifers: 40-year results from the Penobscot Experimental Forest
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Canadian Journal of Forest Research
Issue_Identification: 33(11): 2116-2128
Online_Linkage: https://doi.org/10.1139/x03-140
Cross_Reference:
Citation_Information:
Originator: Nyland Ralph D.
Originator: Kenefic, Laura S.
Originator: Bohn, Kimberly K.
Originator: Stout, Susan L.
Publication_Date: 2016
Title:
Chapter 10: Selection systems and its application; enhancing quality and value
Geospatial_Data_Presentation_Form: book chapter
Other_Citation_Details:
pp. 238-241
Larger_Work_Citation:
Citation_Information:
Originator: Nyland, Ralph D.
Publication_Date: 2016
Title:
Silviculture: Concepts and Applications
Edition: 3rd
Geospatial_Data_Presentation_Form: book
Publication_Information:
Publication_Place: Long Grove, IL
Publisher: Waveland Press Inc.
Other_Citation_Details:
ISBN-13: 978-1577665274; ISBN-10: 1577665279
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Measurement Quality Objectives (MQOs) for this study are defined as:
Species (name/number code): No errors, 99% of time
Diameter at breast height (dbh, inches): +/- 0.1 inches, 99% of time
Tree condition (K-code): No errors, 95% of time

The following instruments were used in the field to collect data for this study:
1. Diameter at breast height (dbh): diameter tapes (accurate to within 0.1 inch) and diameter forks (accurate to within 1 inch)
2. Total height: Haglof (R) hypsometer (accurate to within 0.1 foot)

DATA QUALITY ASSURANCE (QA) RESULTS:
All three datasets (1. tblTreeQuality_CMS_FS, 2. tblTreeQuality_MID_FS, 3. tblTreeQuality_CMS_UM) were evaluated for quality assurance, and results are presented below by data table. See the Data Quality Assurance section under Methodology for more specifics on quality assurance procedures. If one wishes to merge any of these datasets with the tblUSFSTrees (Kenefic et al. 2015) or tblMIDTrees (Waskiewicz et al. 2014), further quality assurance is recommended.


1. DATA QA RESULTS FOR tblTREEQUALITY_CMS_FS:
The tblTreeQuality_CMS_FS dataset was checked for duplicate records and no duplicates were found. “NA” appears in cells where either data were not collected (see Completeness Report) or in the Comments field where no comments were found necessary.

The number of individual trees recorded in the tblTreeQuality_CMS_FS dataset was 4,147, which ranged from 4.5 inches dbh (minimum merchantable size and consequently the minimum size included in this study) to 30.8 inches, a reasonable size for the species (Pinus strobus L., eastern white pine) in central Maine. The mean dbh of trees included in this dataset was 7.7 inches.

All tree species and condition codes (called KCodes) were confirmed as consistent with PEF protocol and were confirmed as possible in central Maine per species geographic distributions (see supplemental files for lists of possible tree species and Methodology for a description of KCodes that were used).

One-hundred and two trees of merchantable-size were determined by field crews as being unmerchantable (biomass markets excluded); consequently, these trees were recorded as cull (KCode 300). Of these cull trees, 5 (less than 0.01 percent of trees in the dataset) were recorded as AGS, a contradiction that cannot be explained. Consequently, a note was added under the Comments field that states “KCode & AGS status in conflict.”


2. DATA QA RESULTS FOR tblTREEQUALITY_MID_FS:
The tblTreeQuality_MID_FS dataset was checked for duplicate records and no duplicates were found. “NA” appears in cells where either data were not collected (see Completeness Report) or in the Comments field where no comments were found necessary. Also see the Completeness Report for a list of trees that were removed from the dataset and their corresponding explanations for removal.

The number of individual trees recorded in the tblTREEQUALITY_MID_FS dataset was 937 trees, which ranged from 4.5 inches dbh (minimum merchantable size, and consequently the minimum size included in this study) to 31.1 inches, a reasonable size for the species (Pinus strobus L., eastern white pine) in central Maine. The mean dbh of trees included in this dataset was 8.0 inches.

All Species and KCodes were confirmed as consistent with PEF protocol (see supplemental files for lists of possible tree species and Methodology for an explanation of KCodes that were used). Data fields starting with the term “last” were from earlier PSP inventories conducted in year 2010 (MUs: 93A, 93B, 93C) or year 2011 (MUs: 90, 91, 92), which were the most recent overstory inventories for these management units at the time of the tree quality survey.


3. DATA QA RESULTS FOR tblTREEQUALITY_CMS_UM:
The dataset tblTreeQuality_CMS_UM was checked for duplicate records re: tree numbers and no duplicates were found.

This dataset has “NA” appearing under total tree height and log quality fields (Saw, Pulp, Cull) where data were not collected.

The number of individual trees recorded in tblTREEQUALITY_CMS_UM dataset was 1856 trees. Diameter at breast height ranged from 4.0 inches (minimum size included in this portion of the study) to 35.4 inches, a reasonable size for the species (Pinus strobus L., eastern white pine) in central Maine.

Species codes were confirmed as possible in central Maine per species geographic distributions.

See Completeness Report for a list of data that were removed from this dataset and the corresponding explanations for removal.


Kenefic, Laura S.; Rogers, Nicole S.; Puhlick, Joshua J.; Waskiewicz, Justin D.; Brissette, John C. 2015. Overstory tree and regeneration data from the "Silvicultural Effects on Composition, Structure, and Growth" study at Penobscot Experimental Forest. 2nd Edition. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2012-0008-2

Waskiewicz, Justin D.; Kenefic, Laura S.; Puhlick, Joshua J.; Rogers, Nicole S.; Brissette, John C. 2014. Overstory tree and regeneration data from the "Management Intensity Demonstration" study at Penobscot Experimental Forest. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2014-0003
Logical_Consistency_Report:
Data collected during the previous PSP inventory in CMS and MID were carried to the field for collection of data presented in tblTreeQuality_CMS_FS and tblTreeQuality_MID_FS, to both assist with identification of numbered trees and ensure accuracy of new measurements. Once data were converted to an electronic format, they were compared to the original field sheets. If errors were present in the field-collected data, researchers returned to the field to conduct re-measurements and correct observations where possible (data from a small number of trees harvested in the intervening period could not be verified or corrected).

For more details, see the Methodology citation section for applicable references and supplemental materials (available through data publication download).
Completeness_Report:
Items that were missing from the three datasets are listed below.

1. tblTREE QUALITY_CMS_FS:
“NA” appears in the “Damage: Operations,” “Damage: Natural,” and “Damage: Unknown” fields in 2012 because these fields were added to the data collection protocol after the 2012 inventory.

“NA” appears in the “Damage: Unspecified” field in 2013 because additional damage fields (Operations, Natural, or Unknown) were added to the data collection protocol at that time to further specify damage type, eliminating the need to categorize damage as Unspecified.

“NA” also appears under Comments where there was no information to relay.

See Methodology for details regarding subsampling of PSPs.


2. tblTREEQUALITY_MID_FS
The tblTreeQuality_MID_FS dataset is missing “Status” from MU91 PSP 51 Tree Number 41300 due to an in-field error. This is noted under Comments.

“NA” appears under Comments where no further information was required.

Ingrowth (trees on the sample plots that grew to merchantable size since the last inventory) are not included in the tblTreeQuality_MID_FS dataset. Only trees that were present during the previous PSP inventory (Waskiewicz et al. 2014) were assessed for tree quality outcomes.

Data fields preceded by the term “last” were derived from either the 2010 or 2011 PSP inventories, which were the most recent PSP inventories at the time of the MID Tree Quality Outcomes Study.


3. tblTREEQUALITY_CMS_UM
Data were not collected for this portion of the Tree Quality Outcomes Study in the following CMS MUs: 9, 12, 16, 17, 23B, 24, 27, 28, 29B, and 30.

This dataset has “NA” appearing under total tree height and log quality fields (Saw, Pulp, Cull) where data were not collected. See Methodology for details regarding subsampling for these data fields.

The following trees were removed from the dataset because tree quality information was not recorded due to in-field errors:
MU 21 PSP 33 Tree Number 412
MU 21 PSP 23 Tree Number 925
MU 21 PSP 35 Tree Number 262
MU 22 PSP 23 Tree Number 29
MU 32A PSP 54 Tree Number 36
MU 32B PSP 32 Tree Number 706
Lineage:
Methodology:
Methodology_Type: Field
Methodology_Description:
All tree quality data in the three datasets presented were collected in one-fifth acre permanent sample plots (PSPs) in PEF MUs that are assigned to either the CMS or MID studies, both long-term experiments intended to examine the effects of silvicultural treatments. The sampling protocols are described below under the appropriate subtitle for each of the three tree quality datasets (1-3).

1. tblTREEQUALITY_CMS_FS DATA MEASUREMENTS:

SELECTION OF MU/PLOTS
There are eighteen active MUs in the CMS in which tree quality data were collected (4, 8, 9, 12 ,15, 16, 17, 20, 21, 22, 23B, 24, 27, 28, 29B, 30, 32A, and 32B), and only within a subset of PSPs (called intensive plots) for each MU (see \Supplements\PEF_TreeQuality_PSPList.pdf for a complete list of MUs and plots included in the survey). The MUs and PSPs shown in the tblTreeQuality_CMS dataset were chosen for the Tree Quality Outcomes Study because additional data are regularly recorded in intensive PSPs, including: tree and crown height, crown radii, stem locations (i.e., stem mapping), and understory vegetation. See Waskiewicz et al. 2015 for a full description of data collection in the CMS, and see Kenefic et al. 2015 for access to past publications of CMS PSP data. For a map showing the location of the PEF, CMS, and MUs listed in this dataset, see \Supplements\PEF_TreeQuality_Map.pdf. To read about the location and layout of the PEF, see Rogers et al. 2014.


DATES
In October of 2012 (Inventory 1), a preliminary assessment of tree quality outcomes took place in a subsample of the chosen CMS PSPs. The second year of tree quality assessments (Inventory 2) occurred in 2013, primarily in July but work extended into August.

METRICS
The most recent CMS (Brissette and Kenefic 2014; Kenefic et al. 2015) PSP inventory available at the time of the tree quality assessment was used to designate study trees, identified by unique tree numbers (TreeNum). Diameter at breast height to the nearest 0.1 inch was measured on all trees greater than or equal to 4.5 inches, and ingrowth that had not yet been assigned a tree number in previous inventories were assigned the tree number “99”. Species and tree condition codes (KCodes) were either assigned or verified. See \Supplements\PEF_TreeQuality_SpeciesList.pdf for a list of species codes and their corresponding plant names. The following KCodes (and definitions) were used in this dataset:
KCode 200: greater than or equal to 4.5 inches in dbh and merchantable
KCode 300: greater than or equal to 4.5 inches in dbh and cull (unmerchantable)
KCode 400: greater than or equal to 4.5 inches in dbh and new ingrowth into the merchantable size class

Trees were assessed for the presence or absence (1 or 0, respectively) of conditions including sweep, poor vigor, and structural weakness (defined below). “Damage: unspecified” was recorded in 2012 as present or absent (1 or 0). Additional damage fields were introduced during the second inventory in 2013; at that time, the “Damage: unspecified” category was split into “unknown” for situations where the source of damage could not be identified, “operations” to indicate damage from logging/harvesting activities, or “natural” to indicate animal, insect, or weather-related impacts. Additionally, for both inventories, the presence (1) or absence (0) of decay was noted. Comments were recorded if further descriptions were required, and empty cells appear where categories did not apply (see Completeness Report).

DEFINITIONS
AGS (acceptable growing stock): Trees that are acceptable for commodity production. These trees must be merchantable (defined for this study as having at least one merchantable 8-foot log, i.e. without sweep and apparently sound) and likely to increase in volume and value over time. Sweep is defined as a gradual curve in the log, as distinct from an abrupt bend or curve. These trees have few or none of the following risk factors:
a. Poor vigor: thin or discolored live crown, very small live crown, dead top
b. Structural weakness: forks, stilt roots, lean greater than 15 degrees from vertical
c. Damage: sapsucker holes, branch stripping by porcupines, skidding or felling damage to bole or roots, other bole wounds, broken tops
d. Decay: fruiting bodies, bleeding (i.e., weeping sap), nesting ants, bole swelling, cavities

If any of these risk factors are present, observer judgement is used to determine whether the tree is likely to increase in volume and value over time.

UGS (unacceptable growing stock): Trees not desirable for commodity production. Such trees either do not have at least one merchantable 8-foot log (i.e., cull, defined below), or, if they do have one merchantable 8-foot log, have one or more of the risk factors listed above. These trees are likely to decrease in volume and value over time. Suitability for biomass (chip) markets was not considered in this assessment.

Merchantable: Trees greater than or equal to 4.5 inches dbh that have at least one 8-foot log without sweep and apparently sound.

Cull: Trees greater than or equal to 4.5 inches dbh that do not have at least one 8-foot log without sweep and apparently sound.

Note: By definition, all cull (unmerchantable) trees are UGS. Merchantable trees may be either AGS or UGS.



2. MID_TREE QUALITY DATA MEASUREMENTS:

SELECTION OF MU/PLOTS
The MID consists of six MUs (90, 91, 92, 93A, 93B, and 93C) where selection cutting, diameter-limit cutting, commercial clearcutting and silvicultural rehabilitation have been conducted over several decades. All PSPs in all MID MUs were assessed for tree quality characteristics. See \Supplements\PEF_TreeQuality_PSPList.pdf for a complete list of MUs and PSPs that were included in the tree quality study. See \Supplements\PEF_TreeQuality_Map.pdf for the location and layout of the MID long-term study. An inventory number (1) was assigned to the first tree quality assessment.

DATES
Tree quality outcomes were assessed in the MID in June and July of 2014.

METRICS
Unique tree numbers assigned in the MID study (Waskiewicz et al. 2014) were used to designate trees for the tree quality assessment. Data recorded in the previous MID PSP inventory were used to confirm the identity of trees at the time of the tree quality assessment by using the last assigned tree number (LastTreeNum) in combination with the recorded species (LastUSFSspID; see \Supplements\PEF_TreeQuality_SpeciesList.pdf), dbh (LastDBH), and KCode (LastKCode). Data fields designated by the term “last” were either updated with a reason noted under Comments or used as previously recorded without change.

The LastKCodes used in this dataset and their corresponding meanings are as follows:
LastKCode 200: greater than or equal to 4.5 inches in dbh and merchantable.
LastKCode 300: greater than or equal to 4.5 inches in dbh and cull (unmerchantable).
LastKCode 400: greater than or equal to 4.5 inches in dbh and new ingrowth into the merchantable size class.

Trees were classified as either “acceptable” (1) or “unacceptable” (0) growing stock, and then further classified as either “merchantable” (1) or “unmerchantable” (0). These decisions were based on visual assessment in the field. Cells with “NA” were used when comments were not necessary.

DEFINITIONS
Definitions used for this inventory are the same as those used for the CMS tree quality assessment (tblTREEQUALITY_CMS_FS).



3. tblTREEQUALITY_CMS_UM:

SELECTION OF MU/PLOTS
The tblTreeQuality_CMS_UM data were collected in 28 PSPs across five different MUs (4, 8, 15, 20, 32B) in the CMS (see \Supplements\PEF_TreeQuality_PSPList.pdf for a list of PSPs included in this dataset). The MUs and PSP that were chosen for this dataset were selected due to the higher percentage of deciduous trees found growing in these locations. Protocol for this dataset was based on methodologies proposed by Pelletier et al. 2013. An updated guide to A Tree Classification System for New Brunswick has been published since the data for this study was collected (Pelletier et al. 2016)

Tree numbers (TreeNum) previously assigned in the CMS MUs and PSPs (Waskiewicz et al. 2014) were used for the Tree Quality Outcomes Study. Where ingrowth had occurred but a number had not yet been assigned by the regular CMS PSP inventories, “99” was recorded as the tree number.

DATES
The tblTreeQuality_CMS_UM data were collected in the summer of 2015.

METRICS
Tree heights were not collected on softwoods and were only collected for a subset of hardwoods across tree form and risk ratings. Similarly, product potential of 8-foot sections (Saw, Pulp, Cull) were collected only on a subset of trees. Subsetting of these data fields was done to increase efficiency while ensuring data collection across the entire range of tree forms and risk classifications.

Species (\Supplements\PEF_TreeQuality_SpeciesList.pdf) and dbh (to the nearest 0.1 inch) were recorded on all trees greater than or equal to 4.0 inches dbh. Total tree heights were taken on a subset of hardwood trees across form (F1-F8) and risk (R1-R4) classifications using a Vertex III hypsometer. See \Supplements\PEF_TreeQuality_TreeFormsANDRisks.pdf for a list of form and risk codes and descriptions. Tree heights were not collected on softwoods. Total tree height and number of 8-foot sawlog, pulp, and cull sections were recorded on a subset of hardwoods greater than or equal to 10 inches dbh.

DEFINITIONS
Sawlog: An 8-foot section with a minimum top diameter of 8 inches and free of defects such as large open wounds, fruiting bodies, severe sweep, or forks.

Pulp: An 8-foot section (1) meeting the size criteria for sawlogs but with defects as described above, or (2) an 8-foot section free of defects that does not meet the sawlog size criteria.

Cull: An 8-foot section that (1) does not meet the sawlog or pulp size criteria, or (2) has extensive defects, from which no roundwood or sawlog product can be produced.

AGS (acceptable growing stock): A tree exhibiting form and appearance suggesting that it will maintain or improve in quality and contribute to future crops in the form of vigorous, high-quality stems over the next cutting cycle.

UGS (unacceptable growing stock): A high-risk tree exhibiting poor form and/or low quality, suggesting that it will decline over the next cutting cycle.

“NA” appears under total tree height and 8-foot section fields (Saw, Pulp, Cull) where these data were not collected.
Methodology_Citation:
Citation_Information:
Originator: Rogers, Nicole S.
Originator: Kenefic, Laura S.
Originator: Kimball, Alan J.
Originator: Brissette, John C.
Publication_Date: 2014
Title:
Penobscot Experimental Forest boundary, roads, trails, management units, and permanent sample plot locations
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2014-0008
Methodology_Citation:
Citation_Information:
Originator: Waskiewicz, Justin D.
Originator: Kenefic, Laura S.
Originator: Rogers, Nicole S.
Originator: Puhlick, Joshua J.
Originator: Brissette, John C.
Originator: Dionne, Richard J.
Publication_Date: 2015
Title:
Sampling and measurement protocols for long-term silvicultural studies on the Penobscot Experimental Forest
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: Gen. Tech. Report
Issue_Identification: NRS-147
Publication_Information:
Publication_Place: Newtown Square, PA
Publisher: U.S. Department of Agriculture, Forest Service, Northern Research Station
Online_Linkage: https://doi.org/10.2737/NRS-GTR-147
Methodology_Citation:
Citation_Information:
Originator: Pelletier, Gaetan
Originator: Landry, Diane
Originator: Girouard, Monique
Publication_Date: 2013
Title:
A Tree Classification System for New Brunswick
Geospatial_Data_Presentation_Form: document
Publication_Information:
Publication_Place: Edmundston, New Brunswick
Publisher: Northern Hardwoods Research Institute
Other_Citation_Details:
53 p.
Online_Linkage: https://doi.org/10.13140/RG.2.1.4481.0000
Methodology_Citation:
Citation_Information:
Originator: Pelletier, Gaetan
Originator: Landry, Diane
Originator: Girouard, Monique
Publication_Date: 2016
Title:
A Tree Classification System for New Brunswick
Edition: Version 2.0
Geospatial_Data_Presentation_Form: document
Publication_Information:
Publication_Place: Edmundston, New Brunswick
Publisher: Northern Hardwoods Research Institute
Other_Citation_Details:
57 p.
Methodology_Citation:
Citation_Information:
Originator: Castle, Mark
Publication_Date: 201708
Title:
Evaluating the influence of stem form, and vigor on product potential, growth, and survival for northern commercial hardwood species
Geospatial_Data_Presentation_Form: Master's Thesis
Publication_Information:
Publication_Place: Orono, ME
Publisher: The University of Maine Digital Commons
Online_Linkage: https://digitalcommons.library.umaine.edu/etd/2740
Process_Step:
Process_Description:
Ingrowth KCodes:

KCodes (tree condition codes) were recorded for both the tblTreeQuality_CMS_FS and tblTreeQuality_MID_FS datasets in accordance with PEF Permanent Sample PSP (PSP) inventory protocol (see Waskiewicz et al. 2015 for PEF PSP measurement protocol). The TblTreeQuality_CMS_FS dataset has 474 trees that had grown into the merchantable-size class (KCode 200) before regularly scheduled inventories occurred; as a result, these trees did not have PEF tree numbers at the time of the tree quality assessment. Consequently, the 474 ingrowth trees that did not have assigned numbers were coded with both a KCode of 400 and a TreeNum (tree number) of “99”. Where saplings were growing in an Intensive PSP (where saplings are numbered when the height of 4.5 feet is obtained), the tree number that had been previously assigned was recorded; there were 145 of these trees. In total, 619 trees in the TblTreeQuality_CMS_FS dataset grew into the merchantable size class and are coded with KCode 400.
Process_Date: 2012
Process_Step:
Process_Description:
PEF Species Codes:

All trees in the CMS and MID MUs have been assigned two-digit species codes. See \Supplements\PEF_TreeQuality_SpeciesList.pdf for a full list of PEF trees species and the corresponding species codes.
Process_Date: 1996
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Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
DATA FILES

This data publication contains three datasets (found in \Data). Below is a list of these files and the variables they contain.

Species codes used in the data files:

1 = Abies balsamea
4 = Picea mariana or Picea rubens
5 = Picea glauca
6 = Tsuga canadensis
7 = Thuja occidentalis
9 = Pinus resionsa
10 = Pinus strobus
11 = Larix larcinia
15 = Acer rubrum
16 = Betula papyrifera
17 = Fraxinus nigra
18 = Populus tremuloides
20 = Betula populifolia
24 = Populus grandidentata
31 = Fraxinus americana
32 = Fagus grandifolia
33 = Betulua alleghaniensis
34 = Ostrya virginiana
35 = Acer saccharum
36 = Quercus sp.

Common abbreviations used in the data files:
dbh = diameter at breast height
ft = feet
in = inches
m = meters
MU = management unit
CMS = Compartment Management Study
MID = Management Intensity Demonstration
PEF = Penobscot Experimental Forest
PSP = permanent sample plot


1. tblTREEQUALITY_CMS_FS

\Data\tblTblTreeQuality_CMS_FS.csv: Comma-delimited ASCII text file containing Tree Quality Study data from the Compartment Management Study (CMS) that were collected by the USFS in the summers of 2012 and 2013. Variables are defined below.

MU: management unit

PSP: permanent sample plot

TreeNum: assigned tree number (99 = new ingrowth greater than or equal to 4.5 inches dbh and merchantable)

YEAR: year that measurements began

INV: sequential inventory number, specific to tree quality assessment (1 = first)

KCODE: a three-digit tree condition code (200 = greater than or equal to 4.5 inches in dbh and merchantable, 300 = greater than or equal to 4.5 inches in dbh and cull (unmerchantable), 400 = greater than or equal to 4.5 inches in dbh and new ingrowth into the merchantable size class)

SPECIES: a two-digit species identification code

DBH: diameter at breast height (inches)

SWEEP: sweep of tree stem (1 = present, 0 = absent)

POOR VIGOR: poor vigor of tree (1 = present, 0 = absent)

STRUCTURAL WEAKNESS: weakness in tree stem (1 = present, 0 = absent)

DAMAGE UNSPECIFIED: external damage, source unspecified (1 = present, 0 = absent, “NA” = not recorded [if “NA” see Completeness Report and Methodology sections for more details])

DAMAGE OPERATIONS: external damage caused by logging or operational activities (1 = present, 0 = absent, NA = not recorded [if “NA” see Completeness Report and Methodology sections for more details])

DAMAGE NATURAL: external damage caused by weather, trees, or animals (1 = present, 0 = absent, NA = not recorded [if “NA” see Completeness Report and Methodology sections for more details])

DAMAGE UNKNOWN: external damage where the source of the damage was not identifiable (1 = present, 0 = absent, NA = not recorded [if “NA” see Completeness Report and Methodology sections for more details])

DECAY: decomposing wood externally visible (1 = present, 0 = absent)

AGS/UGS: growing stock (1 = acceptable growing stock, 0 = unacceptable growing stock)

COMMENTS: notes taken by field crew (”NA” = not recorded)



2. tblTREEQUALITY_MID_FS
\Data\tblTreeQuality_MID_FS.csv: Comma-delimited ASCII text file containing Tree Quality Study data from the Management Intensity Demonstration (MID) that were collected by the USFS in the summer of 2014. Variables are defined below.

MU: management unit

PSP: permanent sample plot

LASTTREENUM: tree number assigned in the last PEF inventory prior to the tree quality inventory [“last” data fields from MU 90, 91, and 92 were collected in 2011; “last” data fields from MU 93A, 93B, and 93C were collected in 2010]

INV: sequential inventory number, specific to tree quality inventory

YEAR: year associated with the month that measurements began

LASTKCODE: tree conditions code assigned during the last PEF inventory prior to the tree quality assessment (200 = greater than or equal to 4.5 inches in dbh and merchantable, 300 = greater than or equal to 4.5 inches in dbh and cull [unmerchantable], 400 = greater than or equal to 4.5 inches in dbh and new ingrowth into the merchantable size class) [“last” data fields from MU 90, 91, and 92 were collected in 2011; “last” data fields from MU 93A, 93B, and 93C were collected in 2010]

LASTUSFSspID: two-digit species identification code assigned in the last PEF inventory prior to the tree quality inventory [“last” data fields from MU 90, 91, and 92 were collected in 2011; “last” data fields from MU 93A, 93B, and 93C were collected in 2010]

LASTDBH: diameter at breast height (inches) recorded in the PEF inventory prior to the tree quality inventory

AGS/UGS: growing stock (1 = acceptable growing stock, 0 = unacceptable growing stock)

STATUS: status (1 = merchantable, 0 = unmerchantable, “NA” = not recorded)

COMMENTS: notes taken by field crew (“NA” = not recorded)



3. tblTREEQUALITY_CMS_UM
\Data\tblTREEQUALITY_CMS_UM.csv: Comma-delimited ASCII text file containing Tree Quality Study data from the Compartment Management Study (CMS) that were collected by the University of Maine (UM) at Orono in the summer of 2015. Variables are defined below.

MU: management unit

PSP: permanent sample plot

TREE: assigned tree number

SPID: a two-digit species identification code

DBH: diameter at breast height (inches)

HT: total tree height (feet) (“NA” = not recorded)

FORM: category of tree form (see \Supplements\PEF_TreeQuality_TreeFormsANDRisks.pdf for a description of codes F1-F8)

RISK: category of risk (see \Supplements\PEF_TreeQuality_TreeFormsANDRisks.pdf for a description of codes R1-R4)

AGS_UGS: growing stock (1 = acceptable growing stock, 0 = unacceptable growing stock)

SAW: number of merchantable 8-foot section of sawlogs (“NA” = not recorded)

PULP: number of 8-foot pulp sections (“NA” = not recorded)

CULL: number of 8-foot cull sections (“NA” = not recorded)
Entity_and_Attribute_Detail_Citation:
CMS/MID protocol:

Waskiewicz, Justin D.; Kenefic, Laura S.; Rogers, Nicole S.; Puhlick, Joshua J.; Brissette, John C.; Dionne, Richard J. 2015. Sampling and measurement protocols for long-term silvicultural studies on the Penobscot Experimental Forest. Gen. Tech. Rep. NRS-147. Newtown Square, PA: U.S. Department of agriculture, Forest Service, Northern Research Station. 32 p. https://doi.org/10.2737/NRS-GTR-147


UM protocol used and current/updated protocol:

Pelletier, Gaetan; Landra, Diane; Girouard, Monique. 2013. A Tree Classification System for New Brunswick. Northern Hardwoods Research Institute. Edmundston, New Brunswick. 53 p. (used with permission). https://doi.org/10.13140/RG.2.1.4481.0000

Pelletier, Gaetan; Landra, Diane; Girouard, Monique. 2016. A Tree Classification System for New Brunswick. Version 2.0. Northern Hardwoods Research Institute. Edmundston, New Brunswick. 57 p.

Castle, Mark. 201708. Evaluating the influence of stem form, and vigor on product potential, growth, and survival for northern commercial hardwood species. Master's Thesis. Orono, ME: The University of Maine Digital Commons. https://digitalcommons.library.umaine.edu/etd/2740


PEF location and roads:

Rogers, Nicole S.; Kenefic, Laura S.; Kimball, Alan J.; Brissette, John C. 2014. Penobscot Experimental Forest boundary, roads, trails, management units, and permanent sample plot locations. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2014-0008

Also see supplemental files included with data publication.
Overview_Description:
Entity_and_Attribute_Overview:
SUPPLEMENTAL FILES

This data publication also contains multiple additional files (found in \Supplements) that are crucial to understanding these data. Below is a list of these files and a brief description of each.

PENOBSCOT EXPERIMENTAL FOREST MAP
\Supplements\PEF_TreeQuality_Map.pdf: Portable document format file showing the locations of the Penobscot Experimental Forest and management units (MUs).

LIST OF MANAGEMENT UNITS AND PLOTS
\Supplements\PEF_TreeQuality_PSPList.pdf: Portable document format archive file (PDF/a) containing a list of management units (MUs) and permanent sample plots (PSPs) included in the Tree Quality Outcomes Study by dataset.

SPECIES CODES
\Supplements\PEF_TreeQuality_SpeciesList.pdf: Portable document format archive file (PDF/a) containing a list of species and species codes included in the Tree Quality Study.

TREE FORMS AND RISKS
\Supplements\PEF_TreeQuality_TreeFormsANDRisks.pdf: Portable document format file containing descriptions of tree forms (F1-F8) and risks (R1-R4). (note that "m" in the text is meters)
M(m) - meters
Entity_and_Attribute_Detail_Citation:
Pelletier, Gaetan; Landra, Diane; Girouard, Monique. 2013. A Tree Classification System for New Brunswick. Northern Hardwoods Research Institute. Edmundston, New Brunswick. 53 p. (used with permission). https://doi.org/10.13140/RG.2.1.4481.0000

Note than an updated version has been published since the data for this study were collected:

Pelletier, Gaetan; Landra, Diane; Girouard, Monique. 2016. A Tree Classification System for New Brunswick. Version 2.0. Northern Hardwoods Research Institute. Edmundston, New Brunswick. 57 p.
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Contact_Organization: USDA Forest Service, Research and Development
Contact_Position: Research Data Archivist
Contact_Address:
Address_Type: mailing and physical
Address: 240 West Prospect Road
City: Fort Collins
State_or_Province: CO
Postal_Code: 80526
Country: USA
Contact_Voice_Telephone: see Contact Instructions
Contact Instructions: This contact information was current as of November 2018. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Resource_Description: RDS-2018-0060
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Metadata documents have been reviewed for accuracy and completeness. Unless otherwise stated, all data and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. However, neither the author, the Archive, nor any part of the federal government can assure the reliability or suitability of these data for a particular purpose. The act of distribution shall not constitute any such warranty, and no responsibility is assumed for a user's application of these data or related materials.

The metadata, data, or related materials may be updated without notification. If a user believes errors are present in the metadata, data or related materials, please use the information in (1) Identification Information: Point of Contact, (2) Metadata Reference: Metadata Contact, or (3) Distribution Information: Distributor to notify the author or the Archive of the issues.
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Format_Version_Number: see Format Specification
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File_Decompression_Technique: Files zipped with 7-Zip 18.05
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Format_Version_Number: see Format Specification
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File_Decompression_Technique: Files zipped with 7-Zip 18.05
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Metadata_Reference_Information:
Metadata_Date: 20190906
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Laura S. Kenefic
Contact_Organization: USDA Forest Service, Northern Research Station
Contact_Address:
Address_Type: mailing and physical
Address: Penobscot Experimental Forest
Address: 54 Government Road
City: Bradley
State_or_Province: ME
Postal_Code: 04411
Country: USA
Contact_Voice_Telephone: 207-581-2794
Contact_Electronic_Mail_Address: lkenefic@fs.fed.us
Metadata_Standard_Name: FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001.1-1999
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