Biomass and nutritional qualities of six regenerating hardwood species in the Allegheny hardwood forest type

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Glover, Laurel M.
Originator: Volponi, Sabrina N.
Originator: Royo, Alejandro A.
Originator: Johnstone-Yellin, Tamara L.
Publication_Date: 2023
Title:
Biomass and nutritional qualities of six regenerating hardwood species in the Allegheny hardwood forest type
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-2023-0058
Description:
Abstract:
Herbivores alter plant quantity and quality through direct tissue consumption and indirectly via the structural and chemical allocational strategies plants deploy in response to herbivory. This data publication provides tabular data containing experimental evidence of how white-tailed deer browsing alters their forage resource and, ultimately, their nutritional carrying capacity. Using a large-scale experiment that manipulated deer access (fenced versus unfenced plots), we tested whether browsing altered the nutritional quality and biomass of six regenerating hardwood species (red maple, American beech, birch species, pin cherry, and black cherry), as well as the nutritional carrying capacity using summer (June-August) 2017 data from sixteen sites in early-successional hardwood forests of Pennsylvania, USA. Data include browsable biomass and estimated nutritional carrying capacity (i.e., deer days per hectare) for each site, averaged across these six dominant species as well as for just pin cherry. Also included is browsable biomass for both stem and leaf tissue as well as average nutritional quality data (neutral detergent fiber, dry matter digestibility, and digestible protein) for each of these six dominant species at each site.
Purpose:
These data are part of a larger set of sites designed to test how deer browsing affects plant community dynamics and how that impact is modulated by landscape context (Royo et al. 2017). For this study, we focused on 16 sites spanning a wide edaphic gradient to examine how browsing altered the quantity and quality of their forage resource.
Supplemental_Information:
For more information about this study and these data, see Glover et al. (in review).
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 201706
Ending_Date: 201708
Currentness_Reference:
Ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Description_of_Geographic_Extent:
We conducted this study within the Allegheny High Plateau Region of northwestern Pennsylvania, USA in 16 mature second growth forests sites (>75 years). Forest composition at all sites is representative of the Allegheny hardwoods forest subtype of the hemlock northern hardwoods association.
Bounding_Coordinates:
West_Bounding_Coordinate: -77.28
East_Bounding_Coordinate: -71.64
North_Bounding_Coordinate: 41.98
South_Bounding_Coordinate: 41.49
Bounding_Altitudes:
Altitude_Minimum: 513.69
Altitude_Maximum: 700.16
Altitude_Distance_Units: meters
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: biota
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Ecology, Ecosystems, & Environment
Theme_Keyword: Plant ecology
Theme_Keyword: Animal ecology
Theme_Keyword: Wildlife (or Fauna)
Theme_Keyword: Mammals
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: seedlings
Theme_Keyword: nutrition
Theme_Keyword: browsing
Theme_Keyword: herbivory
Theme_Keyword: white-tailed deer
Theme_Keyword: Odocoileus virginianus
Theme_Keyword: carrying capacity
Theme_Keyword: digestible protein
Theme_Keyword: dry matter digestibility
Theme_Keyword: neutral detergent fiber
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Pennsylvania
Place_Keyword: Allegheny High Plateau Region
Taxonomy:
Keywords/Taxon:
Taxonomic_Keyword_Thesaurus:
None
Taxonomic_Keywords: single species
Taxonomic_Keywords: vertebrates
Taxonomic_Keywords: animals
Taxonomic_Keywords: mammals
Taxonomic_Keywords: Odocoileus virginianus
Taxonomic_Keywords: white-tailed deer
Taxonomic_Keywords: multiple species
Taxonomic_Keywords: vegetation
Taxonomic_Keywords: plants
Taxonomic_Keywords: Acer rubrum
Taxonomic_Keywords: red maple
Taxonomic_Keywords: Betula
Taxonomic_Keywords: birch
Taxonomic_Keywords: Fraxinus americana
Taxonomic_Keywords: white ash
Taxonomic_Keywords: Fagus grandifolia
Taxonomic_Keywords: American beech
Taxonomic_Keywords: Prunus pensylvanica
Taxonomic_Keywords: pin cherry
Taxonomic_Keywords: Prunus serotina
Taxonomic_Keywords: black cherry
Taxonomic_System:
Classification_System/Authority:
Classification_System_Citation:
Citation_Information:
Originator: ITIS
Publication_Date: 2023
Title:
Integrated Taxonomic Information System
Geospatial_Data_Presentation_Form: on-line database
Other_Citation_Details:
Retrieved [July 10, 2023]; CC0
Online_Linkage: https://www.itis.gov
Online_Linkage: https://doi.org/10.5066/F7KH0KBK
Taxonomic_Procedures:
Taxonomic_Classification:
Taxon_Rank_Name: Empire
Taxon_Rank_Value: Biovitae
Applicable_Common_Name: Carbon-based lifeforms
Taxonomic_Classification:
Taxon_Rank_Name: Kingdom
Taxon_Rank_Value: Animalia
Applicable_Common_Name: Animal
Applicable_Common_Name: animaux
Applicable_Common_Name: animals
Taxonomic_Classification:
Taxon_Rank_Name: Subkingdom
Taxon_Rank_Value: Bilateria
Applicable_Common_Name: triploblasts
Taxonomic_Classification:
Taxon_Rank_Name: Infrakingdom
Taxon_Rank_Value: Deuterostomia
Taxonomic_Classification:
Taxon_Rank_Name: Phylum
Taxon_Rank_Value: Chordata
Applicable_Common_Name: cordés
Applicable_Common_Name: cordado
Applicable_Common_Name: chordates
Taxonomic_Classification:
Taxon_Rank_Name: Subphylum
Taxon_Rank_Value: Vertebrata
Applicable_Common_Name: vertebrado
Applicable_Common_Name: vertébrés
Applicable_Common_Name: vertebrates
Taxonomic_Classification:
Taxon_Rank_Name: Infraphylum
Taxon_Rank_Value: Gnathostomata
Taxonomic_Classification:
Taxon_Rank_Name: Superclass
Taxon_Rank_Value: Tetrapoda
Taxonomic_Classification:
Taxon_Rank_Name: Class
Taxon_Rank_Value: Mammalia
Applicable_Common_Name: mammifères
Applicable_Common_Name: mamífero
Applicable_Common_Name: mammals
Taxonomic_Classification:
Taxon_Rank_Name: Subclass
Taxon_Rank_Value: Theria
Taxonomic_Classification:
Taxon_Rank_Name: Infraclass
Taxon_Rank_Value: Eutheria
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Artiodactyla
Applicable_Common_Name: artiodactyls
Applicable_Common_Name: porco do mato
Applicable_Common_Name: veado
Applicable_Common_Name: cloven-hoofed ungulates
Applicable_Common_Name: even-toed ungulates
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Cervidae
Applicable_Common_Name: cervids
Applicable_Common_Name: caribou
Applicable_Common_Name: deer
Applicable_Common_Name: moose
Applicable_Common_Name: wapiti
Taxonomic_Classification:
Taxon_Rank_Name: Subfamily
Taxon_Rank_Value: Capreolinae
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Odocoileus
Applicable_Common_Name: mule deer
Applicable_Common_Name: white-tailed deer
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Odocoileus virginianus
Applicable_Common_Name: white-tailed deer
Applicable_Common_Name: Venado cola blanca
Applicable_Common_Name: cerf de Virginie
Applicable_Common_Name: White-tailed Deer
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: 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: 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
Applicable_Common_Name: alder
Applicable_Common_Name: birch
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Betula
Applicable_Common_Name: birch
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Rosales
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Rosaceae
Applicable_Common_Name: roses
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Prunus
Applicable_Common_Name: chokecherry
Applicable_Common_Name: plum
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Prunus serotina
Applicable_Common_Name: black chokecherry
Applicable_Common_Name: black cherry
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Prunus pensylvanica
Applicable_Common_Name: pin cherry
Applicable_Common_Name: fire cherry
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Sapindales
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Sapindaceae
Applicable_Common_Name: soapberries
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Acer
Applicable_Common_Name: maples
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Acer rubrum
Applicable_Common_Name: red maple
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:

Glover, Laurel M.; Volponi, Sabrina N.; Royo, Alejandro R.; Johnstone-Yellin, Tamara L. 2023. Biomass and nutritional qualities of six regenerating hardwood species in the Allegheny hardwood forest type. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2023-0058
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Northern Research Station
Contact_Person: Alejandro R. Royo
Contact_Position: Research Ecologist
Contact_Address:
Address_Type: mailing and physical
Address: Forestry Sciences Laboratory
Address: 335 National Forge Road
City: Irvine
State_or_Province: PA
Postal_Code: 16329
Country: USA
Contact_Voice_Telephone: 814-516-5910
Contact_Electronic_Mail_Address: alejandro.royodesedas@usda.gov
Contact Instructions: This contact information was current as of original publication date. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Browse_Graphic:
Browse_Graphic_File_Name: \Supplements\allegheny_site_map.pdf
Browse_Graphic_File_Description:
Map of the Commonwealth of Pennsylvania showing the geographic location of all 16 study sites.
Data_Set_Credit:
This project was funded by the USDA Forest Service, Northern Research Station; Bridgewater College; and USDA Agriculture and Food Research Initiative (USDA-AFRI Award No. 12-IA-11242302-093).


Author Information:

Laurel M. Glover
West Virginia University

Sabrina N. Volponi
University of Notre Dame
https://orcid.org/0000-0002-0198-430X

Alejandro R. Royo
USDA Forest Service, Northern Research Station
https://orcid.org/0000-0002-6813-0587

Tamara L. Johnstone-Yellin
Bridgewater College
https://orcid.org/0009-0009-3597-7405
Cross_Reference:
Citation_Information:
Originator: Glover, Laurel M.
Originator: Volponi, Sabrina N.
Originator: Royo, Alejandro A.
Originator: Johnstone-Yellin, Tamara L.
Publication_Date: Unknown
Title:
Effect of exclosures on the nutritional value of six species of hardwoods for white-tailed deer (Odocoileus virginianus) in the Pennsylvania Allegheny Forest
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Journal of Fish and Wildlife Management
Other_Citation_Details:
[In review]
Cross_Reference:
Citation_Information:
Originator: Morgan, Quinn
Originator: Johnstone-Yellin, Tamara L.
Originator: Pinchot, Cornelia C.
Originator: Peters, Matthew
Originator: Royo, Alejandro A.
Publication_Date: 2018
Title:
Partitioning and predicting forage biomass from total aboveground biomass of regenerating tree species using dimensional analyses
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Canadian Journal of Forest Research
Issue_Identification: 49(3): 309-316
Online_Linkage: https://doi.org/10.1139/cjfr-2018-0119
Online_Linkage: https://www.fs.usda.gov/research/treesearch/57697
Cross_Reference:
Citation_Information:
Originator: Royo, Alejando A.
Originator: Kramer, David W.
Originator: Miller, Karl V.
Originator: Nibbelink, Nathan P.
Originator: Stout, Susan L.
Publication_Date: 2017
Title:
Spatio-temporal variation in foodscapes modifies deer browsing impact on vegetation
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Landscape Ecology
Issue_Identification: 32(12): 2281-2295
Online_Linkage: https://doi.org/10.1007/s10980-017-0568-x
Online_Linkage: https://www.fs.usda.gov/research/treesearch/55499
Analytical_Tool:
Analytical_Tool_Description:
R is a free software environment for statistical computing and graphics.
Tool_Access_Information:
Online_Linkage: https://www.r-project.org/
Tool_Access_Instructions:
see website
Tool_Citation:
Citation_Information:
Originator: R Core Team
Publication_Date: 2021
Title:
R: A language and environment for statistical computing
Geospatial_Data_Presentation_Form: software
Publication_Information:
Publication_Place: Vienna, Austria
Publisher: R Foundation for Statistical Computing
Online_Linkage: https://www.r-project.org/
Analytical_Tool:
Analytical_Tool_Description:
SAS is an integrated software suite for advanced analytics, business intelligence, data management, and predictive analytics.
Tool_Access_Information:
Online_Linkage: https://www.sas.com/
Tool_Access_Instructions:
see website
Tool_Citation:
Citation_Information:
Originator: SAS Institute Inc.
Publication_Date: 2013
Title:
SAS System for Windows
Geospatial_Data_Presentation_Form: software
Publication_Information:
Publication_Place: Cary, NC
Publisher: SAS Institute Inc.
Online_Linkage: https://www.sas.com/
Back to Top
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
To the best of our knowledge, the values are true and accurate. Data collection in the field was done on paper sheets and these are stored at the USDA Forest Service Research Laboratory in Irvine, PA in our secured location. Data were entered and checked for accuracy by Cori Weldon, data manager (retired). Checks consisted of printing the data entered into Excel and comparing printout against the paper copies.

Variables in these files are for the most part calculated using equations or models. Precision provided in _variable_descriptions.csv is therefore just an estimate.
Logical_Consistency_Report:
The data are logically consistent. The consistency was verified as part of the quality assurance that occurred during data analysis.
Completeness_Report:
In the allegheny_nutrition.csv file, some species were not present at all sites or one of the two experimental treatment blocks (i.e., fence versus control). In these cases, no data are presented. In the allegheny_biomass_deerdays.csv data file, zeroes represented for some experimental units do represent true zeroes as there was either no browse biomass available and/or the FRESH model was unable to estimate a deer carrying capacity (i.e., DD_ha_..) from the available browse biomass.
Lineage:
Methodology:
Methodology_Type: Field
Methodology_Description:
EXPERIMENTAL DESIGN

We conducted our study at 16 northern hardwood forest sites distributed throughout a 6500 square kilometers area of northwestern Pennsylvania, USA. The 16 sites used in this study were selected from a larger set of 25 sites (Royo et al. 2016, 2017) to maximize site productivity differences within the range that existed at all sites and thus broaden the generality of our predictive equations. For the specifics of this approach, see Morgan et al. (2019).

In 15 of the 16 sites, managers conducted the initial cut of a shelterwood sequence to reduce stand relative density (i.e., <75% relative density) and applied broadcast herbicides (tank mix of glyphosate and sulphometuron methyl; Marquis et al. 1992) to control interfering plant species 3–8 years prior to sampling. At a 16th site, managers ultimately chose not to proceed with a harvest but did apply herbicide in 2012. Within each site, we established paired 0.42 hectares (60 × 70 meters [m]) plots and randomly assigned one plot a deer exclosure (fence) treatment while the other served as an unfenced control. Exclosure construction occurred in May–September 2013.


FIELD DATA COLLECTION

At each site we surveyed tree regeneration in from May 29 through August 1, 2017 in 15, 1-square meter (m²) circular quadrats within both the fenced and control areas. Regeneration surveys for data archived herein consists of counts of individuals, by species, in two height classes: 30-150 cm and >150 cm, as seedlings ≥30 cm are commonly accessible to deer. Within each of these two size classes, we also obtained basal diameter measurements of up to five stems per size class to estimate biomass using previously derived allometric equations (Morgan et al. 2019). Additionally, we collected samples of six of the most abundant hardwood species (i.e., these six species represented 94% of all seedlings surveyed in summer 2015) from each plot across three transects (20 m apart) per plot. For each plot, we composited browsable (reachable by deer at ≤1.8 m high) leaves of each species by transect and browsable stems of each species by plot. To preserve nutritional content, we froze all samples until we could proceed with laboratory analysis.
Methodology_Citation:
Citation_Information:
Originator: Glover, Laurel M.
Originator: Volponi, Sabrina N.
Originator: Royo, Alejandro A.
Originator: Johnstone-Yellin, Tamara L.
Publication_Date: 2023
Title:
Effect of exclosures on the nutritional value of six species of hardwoods for white-tailed deer (Odocoileus virginianus) in the Pennsylvania Allegheny Forest
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Journal of Fish and Wildlife Management
Other_Citation_Details:
[In review]
Methodology_Citation:
Citation_Information:
Originator: Marquis, David A.
Originator: Ernst, Richard L.
Originator: Stout, Susan L.
Publication_Date: 1992
Title:
Prescribing silvicultural treatments in hardwood stands of the Alleghenies (revised)
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: General Technical Report
Issue_Identification: NE-96
Publication_Information:
Publication_Place: Broomall, PA
Publisher: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station
Other_Citation_Details:
101 p.
Online_Linkage: https://doi.org/10.2737/NE-GTR-96
Methodology_Citation:
Citation_Information:
Originator: Morgan, Quinn
Originator: Johnstone-Yellin, Tamara L.
Originator: Pinchot, Cornelia C.
Originator: Peters, Matthew
Originator: Royo, Alejandro A.
Publication_Date: 2019
Title:
Partitioning and predicting forage biomass from total aboveground biomass of regenerating tree species using dimensional analyses
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Canadian Journal of Forest Research
Issue_Identification: 49(3): 309-316
Online_Linkage: https://doi.org/10.1139/cjfr-2018-0119
Online_Linkage: https://www.fs.usda.gov/research/treesearch/57697
Methodology_Citation:
Citation_Information:
Originator: Royo, Alejandro A.
Originator: Kramer, David W.
Originator: Miller, Karl V.
Originator: Nibbelink, Nathan P.
Originator: Stout, Susan L.
Publication_Date: 2016
Title:
The canary in the coal mine: sprouts as a rapid indicator of browse impact in managed forests
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Ecological Indicators
Issue_Identification: 69: 269-275
Online_Linkage: https://doi.org/10.1016/j.ecolind.2016.04.030
Online_Linkage: https://www.fs.usda.gov/research/treesearch/50925
Methodology_Citation:
Citation_Information:
Originator: Royo, Alejandro A.
Originator: Kramer, David W.
Originator: Miller, Karl V.
Originator: Nibbelink, Nathan P.
Originator: Stout, Susan L.
Publication_Date: 2017
Title:
Spatio-temporal variation in foodscapes modifies deer browsing impact on vegetation
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Landscape Ecology
Issue_Identification: 32(12): 2281-2295
Online_Linkage: https://doi.org/10.1007/s10980-017-0568-x
Online_Linkage: https://www.fs.usda.gov/research/treesearch/55499
Methodology:
Methodology_Type: Lab
Methodology_Description:
LAB DATA COLLECTION

We freeze dried all samples using a VirTis BenchTop Pro freeze dryer (SP Scientific, Warminster, PA, USA) for at least 24 hours and ground samples to pass a 1-millimeter (mm) screen using a Wiley Mini Mill (Thomas Scientific, Swedesboro, NJ, USA). Using sequential fiber analysis with sodium sulfite (Goering and Van Soest 1970; Ankom 200 Fiber Analyzer, Ankom Technology, Fairport, NY, USA) we measured fiber content of approximately 0.5 grams (g) of each sample (see Cook et al. 2022) by determining the percent neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), and acid insoluble ash (AIA). We corrected NDF, ADL, and AIA for potential laboratory analysis bias using correction equations by Cook et al. (2022). Percent crude protein was calculated as 6.25 times the percent nitrogen content (Robbins 1993), which was determined using a Carbon-Nitrogen TruSpec Analyzer (LECO, St. Joseph, MI, USA, Dairy One, Ithaca, NY, USA). Prescence of protein-binding capacity of tannins, which decreases digestible protein (DP) and dry matter digestibility (DMD) (Robbins 1993), was determined using the Martin and Martin (1982) bovine serum albumen (BSA) precipitation assay (Wildlife Habitat Lab, Washington State University, Pullman, USA) in a subset of samples of each species and treatment. Average tannin content was assigned to all samples of the same species and treatment. We used fiber, crude protein, and BSA to calculate percent DMD (percentage of food intake assimilated) and percent DP (percentage of protein assimilated), respectively, using summative equations by Robbins et al. (1987a, b), which incorporate any reduction in digestibility caused by tannins.

We estimated browsable biomass using regression equations developed for these species in the same study area (Morgan et al. 2019). Our biomass estimates used only stem densities of individuals in the >30 cm height classes as these fall within the browsable stratum (Bernes et al. 2018) and our allometric biomass equations are scaled to account for only the fraction of the plant material available to deer in individuals taller than 180 cm (Morgan et al. 2019). For plots that lacked sufficient plant material for nutritional assays we assigned the mean nutritional values of the plot with the most similar productivity characteristics (Morgan et al. 2019), which occurred for fewer than 9% of the plant samples.

Using the estimated browsable biomass (Morgan et al. 2019) DMD, and DP values for each of the six species, we used the Forage Resource Evaluation System for Habitat for Deer (FRESH-Deer) model (Hanley et al. 2012) modified to run in R (R Core Team 2021) to determine the nutritional carrying capacity of the leaves and stems of each species in each plot. This model defines nutritional carrying capacity by the number of days a given plot can support a female deer with one fawn (deer days ⨯ ha⁻¹). As suggested by Hanley et al. (2012) we used the nutritional requirements of a lactating deer with one fawn (daily metabolic energy requirement (MER) = 69,086 kilojoules (kJ), digestible energy (DE) = (11.5 ⨯ kJ ⨯ g⁻¹), DP = 8 g of digestible protein (DP) ⨯ 100 g⁻¹ of forage, dry matter intake (DMI) = 1,751 g ⨯ kg⁻¹ body mass) for a conservative estimate of spring and summer nutritional needs of deer.
Methodology_Citation:
Citation_Information:
Originator: Glover, Laurel M.
Originator: Volponi, Sabrina N.
Originator: Royo, Alejandro A.
Originator: Johnstone-Yellin, Tamara L.
Publication_Date: 2023
Title:
Effect of exclosures on the nutritional value of six species of hardwoods for white-tailed deer (Odocoileus virginianus) in the Pennsylvania Allegheny Forest
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Journal of Fish and Wildlife Management
Other_Citation_Details:
[In review]
Methodology_Citation:
Citation_Information:
Originator: Bernes, Claes
Originator: Macura, Biljana
Originator: Jonsson, Bengt G.
Originator: Junninen, Kaisa
Originator: Müller, Jörg
Originator: Sandström, Jennie
Originator: Lõhmus, Asko
Originator: Macdonald, Ellen
Publication_Date: 2018
Title:
Manipulating ungulate herbivory in temperate and boreal forests: effects on vegetation and invertebrates. A systematic review
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Environmental Evidence
Issue_Identification: 7: 13
Online_Linkage: https://doi.org/10.1186/s13750-018-0125-3
Methodology_Citation:
Citation_Information:
Originator: Cook, Rachel C.
Originator: Shipley, Lisa A.
Originator: Cook, John G.
Originator: Camp, Meghan J.
Originator: Monzingo, Deborah S.
Originator: Robatcek, Sierra L.
Originator: Berry, Stephanie L.
Originator: Hull, Iver T.
Originator: Woodrow L. Myers
Originator: Denryter, Kristin
Originator: Long, Ryan A.
Publication_Date: 2022
Title:
Sequential detergent fiber assay results used for nutritional ecology research: Evidence of bias since 2012
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Wildlife Society Bulletin
Issue_Identification: 46: e1348
Online_Linkage: https://doi.org/10.1002/wsb.1348
Methodology_Citation:
Citation_Information:
Originator: Goering, H.K.
Originator: Van Soest, Peter J.
Publication_Date: 1970
Title:
Forage fiber analysis: Apparatus, reagents, procedures and some applications
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: Agricultural Handbook
Issue_Identification: 379
Publication_Information:
Publication_Place: Washington DC
Publisher: U.S. Department of Agriculture, Agricultural Research Service
Other_Citation_Details:
20 p.
Methodology_Citation:
Citation_Information:
Originator: Hanley, Thomas A.
Originator: Spalinger, Donald E.
Originator: Mock, Kenrick J.
Originator: Weaver, Oran L.
Originator: Harris, Grant M.
Publication_Date: 2012
Title:
Forage resource evaluation system for habitat deer: an interactive deer habitat model
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: General Technical Report
Issue_Identification: PNW-GTR-858
Publication_Information:
Publication_Place: Portland, OR
Publisher: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station
Other_Citation_Details:
64 p.
Online_Linkage: https://doi.org/10.2737/PNW-GTR-858
Methodology_Citation:
Citation_Information:
Originator: Martin, Joan Stadler
Originator: Martin, Michael M.
Publication_Date: 1982
Title:
Tannin assays in ecological studies: lack of correlation between phenolics, proanthocyanidins and protein-precipitating constituents in mature foliage of six oak species
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Oecologia
Issue_Identification: 54(2): 205-211
Online_Linkage: https://doi.org/10.1007/bf00378394
Methodology_Citation:
Citation_Information:
Originator: Morgan, Quinn
Originator: Johnstone-Yellin, Tamara L.
Originator: Pinchot, Cornelia C.
Originator: Peters, Matthew
Originator: Royo, Alejandro A.
Publication_Date: 2019
Title:
Partitioning and predicting forage biomass from total aboveground biomass of regenerating tree species using dimensional analyses
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Canadian Journal of Forest Research
Issue_Identification: 49(3): 309-316
Online_Linkage: https://doi.org/10.1139/cjfr-2018-0119
Online_Linkage: https://www.fs.usda.gov/research/treesearch/57697
Methodology_Citation:
Citation_Information:
Originator: Robbins, Charles T.
Originator: Mole, S.
Originator: Hagerman, A.E.
Originator: Hanley, T.A.
Publication_Date: 1987
Title:
Role of tannins in defending plants against ruminants: reduction in dry matter digestion?
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Ecology
Issue_Identification: 68(8): 1606-1615
Online_Linkage: https://doi.org/10.2307/1939852
Methodology_Citation:
Citation_Information:
Originator: Robbins, Charles T.
Originator: Hanley, T.A.
Originator: Hagerman, A.E.
Originator: Hjeljord, O.
Originator: Baker, D.L.
Originator: Schwartz, C.C.
Originator: Mautz, W.W.
Publication_Date: 1987
Title:
Role of tannins in defending plants against ruminants: reduction in protein availability
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Ecology
Issue_Identification: 68(1): 98-107
Online_Linkage: https://doi.org/10.2307/1938809
Methodology_Citation:
Citation_Information:
Originator: Robbins, Charles T.
Publication_Date: 1993
Title:
Wildlife Feeding and Nutrition
Edition: 2nd edition
Geospatial_Data_Presentation_Form: book chapter
Publication_Information:
Publication_Place: New York, NY
Publisher: Academic Press
Online_Linkage: https://doi.org/10.1016/C2013-0-11381-5
Process_Step:
Process_Description:
For the purposes of the analyses reported in the manuscript (Glover et al. in review), we averaged all samples obtained at the quadrat (N = 15 per plot) or transect (N = 3 per plot) to an overall estimate for each browsing treatment (i.e., fenced versus unfenced control plot) at each site so as to avoid pseudo-replication.
Process_Date: Unknown
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Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 18
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -75
Latitude_of_Projection_Origin: 0
False_Easting: 500000
False_Northing: 0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: Coordinate Pair
Coordinate_Representation:
Abscissa_Resolution: 1
Ordinate_Resolution: 1.00
Planar_Distance_Units: Meters
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 17
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -81
Latitude_of_Projection_Origin: 0
False_Easting: 500000
False_Northing: 0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: Coordinate Pair
Coordinate_Representation:
Abscissa_Resolution: 1
Ordinate_Resolution: 1
Planar_Distance_Units: Meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.0000
Denominator_of_Flattening_Ratio: 298.25722210
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Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
Below you will find a list and description of the files included in this data publication.


VARIABLE DESCRIPTION FILE (1)

1. \Data\_variable_descriptions.csv: Comma-separated values (CSV) file containing a list and description of variables found in all data files. (A description of these variables is also provided in the metadata below.)

Columns include:

Filename = Name of data file
Variable = Name of variable
Units = Units (if applicable)
Precision = Precision (if applicable)
Description = Description of variable


DATA FILES (3)

1. \Data\allegheny_biomass_deerdays.csv: CSV file containing total browsable biomass and estimated nutritional carrying capacity (i.e., Deer days per hectare) based on six dominant regenerating hardwood species (Acer rubrum, Fagus grandifolia, Fraxinus americana, Betula sp., Prunus pensylvanica, and P. serotina) for sixteen regenerating Allegheny hardwood forest sites in northwestern Pennsylvania. Data are provided as averages by treatment (Fence and Control).

Variables include:

Site = Name of experimental site

Julian Day = Julian date of the sample collection in 2017 (YYDDD)

Treatment = Browsing treatment (Fence, Control [i.e., unfenced])

BB_All = Total browse biomass in grams (stems + leaves) for all species

DD_ha_All = Deer Days per hectare calculated from the FRESH model (Hanley et al. 2012) calibrated using one lactating deer with one fawn

BB_PRPE2 = Total browse biomass in grams (stems + leaves) for just Prunus pensylvanica (PRPE2)

DD_ha_PRPE2 = Deer Days per hectare calculated from the FRESH model (Hanley et al. 2012) estimated using only Prunus pensylvanica data and calibrated using one lactating deer with one fawn


2. \Data\allegheny_nutrition.csv: CSV file containing browsable biomass for both stem and leaf tissue as well as average nutritional quality data (Neutral Detergent Fiber [NDF], Dry Matter Digestibility [DMD], and Digestible Protein [DP]) for sixteen regenerating Allegheny hardwood forest sites in northwestern Pennsylvania. Data are provided by treatment (Fence and Control) and species, for six dominant regenerating hardwood species (Acer rubrum, Fagus grandifolia, Fraxinus americana, Betula sp., Prunus pensylvanica, and P. serotina).

Variables include:

Site = Name of experimental site

Julian Day = Julian date of the sample collection in 2017 (YYDDD)

Biomass = Whether data represent browsable biomass (see Morgan et al. 2019) of either leaf or stem tissue (Leaf, Stem)

Treatment = Browsing treatment (Fence, Control [i.e., unfenced])

Species = USDA Plants Database (https://plants.usda.gov/home) symbol for species in the study
ACRU = red maple
BETUL = birch
FAGR = American beech
FRAM2 = white ash
PRPE2 = pin cherry
PRSE2 = black cherry

Ave_NDF = Average Neutral Detergent Fiber (%)

Ave_DMD = Average Dry Matter Digestibility (%)

Ave_DP = Average Digestible Protein (%) (Tannins, when present, reduces the amount of crude protein available to deer and can result in negative values for digestible protein.)


3. \Data\allegheny_site_info.csv: CSV file containing the UTM coordinates and elevations of all 16 study sites.

Variables include:

Site = Name of experimental site

UTM Zone = UTM zone number and latitude band

Easting = UTM longitude in meters

Northing = UTM latitude in meters

Elevation_m = Elevation in meters


SUPPLEMENTAL FILES (1)

1. \Supplements\allegheny_site_map.pdf: Portable Document Format file containing a map of the Commonwealth of Pennsylvania showing the geographic location of all 16 study sites.
Entity_and_Attribute_Detail_Citation:
Glover, Laurel M.; Volponi, Sabrina N.; Royo, Alejandro A.; Johnstone-Yellin, Tamara L. [In review]. Effect of exclosures on the nutritional value of six species of hardwoods for white-tailed deer (Odocoileus virginianus) in the Pennsylvania Allegheny Forest. Journal of Fish and Wildlife Management.

Hanley, Thomas A.; Spalinger, Donald E.; Mock, Kenrick J.; Weaver, Oran L.; Harris, Grant M. 2012. Forage resource evaluation system for habitat deer: an interactive deer habitat model. General Technical Report. PNW-GTR-858. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 64 p. https://doi.org/10.2737/PNW-GTR-858

Morgan, Quinn; Johnstone-Yellin, Tamara L.; Pinchot, Cornelia C.; Peters, Matthew; Royo, Alejandro A. 2019. Partitioning and predicting forage biomass from total aboveground biomass of regenerating tree species using dimensional analyses. Canadian Journal of Forest Research. 49(3): 309-316. https://doi.org/10.1139/cjfr-2018-0119 and https://www.fs.usda.gov/research/treesearch/57697

USDA, NRCS. 2023. The PLANTS Database (http://plants.usda.gov, 07/10/2023). National Plant Data Team, Greensboro, NC USA.
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Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
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 October 2023. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Resource_Description: RDS-2023-0058
Distribution_Liability:
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.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: CSV
Format_Version_Number: see Format Specification
Format_Specification:
Comma-separated values file
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2023-0058
Digital_Form:
Digital_Transfer_Information:
Format_Name: PDF
Format_Version_Number: see Format Specification
Format_Specification:
Portable Document Format file
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2023-0058
Fees: None
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Metadata_Reference_Information:
Metadata_Date: 20231024
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Northern Research Station
Contact_Person: Alejandro R. Royo
Contact_Position: Research Ecologist
Contact_Address:
Address_Type: mailing and physical
Address: Forestry Sciences Laboratory
Address: 335 National Forge Road
City: Irvine
State_or_Province: PA
Postal_Code: 16329
Country: USA
Contact_Voice_Telephone: 814-516-5910
Contact_Electronic_Mail_Address: alejandro.royodesedas@usda.gov
Contact Instructions: This contact information was current as of original publication date. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
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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