Data Package Metadata   View Summary

2023 Forest Composition Data at the University of Michigan Biological Station, Pellston, MI

General Information
Data Package:
Local Identifier:edi.1553.1
Title:2023 Forest Composition Data at the University of Michigan Biological Station, Pellston, MI
Alternate Identifier:DOI PLACE HOLDER
Abstract:

In many forests worldwide, insect disturbances are increasing, impacting plant community composition and forest structure. However, the extent to which these changes in community composition and structure influence the amount of C stored annually in plant biomass, or net primary production (NPP), remains poorly understood. We examined whether plant community composition, structural change, and NPP respond similarly to increasing disturbance severity and to the treatment types preferentially affecting large and small diameter trees. This knowledge is vital to management and modeling when trying to make inferences about the structural and functional response of forested ecosystems to various levels of disturbance caused by insects. The Forest Resilience Threshold Experiment (FoRTE) is a replicated study of disturbance type and severity using stem-girdling to achieve four levels of gross defoliation from 0% (control) to 85%. Utilizing five years of leaf litter, seedling, and portable canopy LiDAR data, we analyzed relationships between community composition, structure and NPP across disturbance severity. Our results 5-years after the initiation of the girdling disturbance shows that mid-successional Fagus and Acer species dominate seedling and sapling composition, irrespective of disturbance severities. In contrast, the canopy was predominantly occupied by Acer and Populus species, surpassing Quercus and Fagus. Despite the prediction that high canopy mortality would foster an environment favorable to early successional species, their expected dominance didn’t manifest in any of the plots. NPP exhibited high resistance to disturbance across the gradient of disturbance severity, regardless of compositional changes and level of tree mortality. This suggests a decoupling between composition and production following altered functional responses to disturbance. As we manage forests for greater stability in the face of increasing disturbance and intensifying climate change, our analysis suggests that C cycling stability may be possible despite substantial community compositional changes.

Publication Date:2024-01-08
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2023-06-03
End:
2023-08-02

People and Organizations
Contact:Gough, Chris (Virginia Commonwealth University, Associate Professor) [  email ]
Contact:Tallant, Jason (University of Michigan Biological Station, Data Manager and Research Specialist) [  email ]
Contact:Habicht, Helen (University of Michigan Biological Station, Research Coordinator and Lab Manager) [  email ]
Creator:Menna, Angela (Virginia Commonwealth University, Field Technician)
Creator:McClain, Erin-Darby (Virginia Commonwealth University, Field Technician)
Creator:Sunil, Sona (Virginia Commonwealth University, Research Experience for Undergraduates)
Creator:Johnson, Ariel (Virginia Commonwealth University, PhD Student)
Associate:Tallant, Jason M (University of Michigan Biological Station, Data Manager, Data Manager)
Associate:Habicht, Helen (University of Michigan Biological Station, Research Coordinator and Lab Manager, Data Submission Review)

Data Entities
Data Table Name:
Rs_2023
Description:
This data was collected in the summer of 2023. Fluxes were measured from 10cm diameter soil collars located in the ordinal directions and the center of each FoRTE subplot. If the first two measurements were within 10% of each other we proceeded to the next collar. Otherwise a second and sometimes third set of measurements were taken. This data is a part of the Gough Lab REU program, and data was collected by Sonal Sunil.
Data Table Name:
raw_subcanopy_dendrobands_2023 - sheet 1
Description:
DBH was recorded for selected sub canopy trees. These trees were selected at the beginning of the experimental manipulation during the 2018 field season. Trees are measured bi-annually in the summer and fall to get complete growth data for the year.
Data Table Name:
raw_seedling_saplings_2023 - Sheet1
Description:
Seedling and sapling data are collected from 2x2 meter vegetation plots located within the subplots of FoRTE. There are 4 vegetation plots per subplot, and they are located in the ordinal directions NE, NW, SE, and SW. Vegetation plots are segmented into four 1x1m plots, with the NW and SE quadrants measured.
Data Table Name:
cwd_2023 - Sheet1
Description:
Coarse woody debris survey. Transect were run North-South and East-West within the subplots. All woody stems that were greater than 7cm at point of intersection and longer than a meter were counted. Species of each woody stem was estimated based on bark and branching patterns when present.
Data Table Name:
2023_raw_canopy_dendrobands
Description:
This data sheet includes both the summer and winter measurements from the canopy dendrometer banded trees. It also includes the replaced dendrometer banded trees, and there initial measurements. It takes about a year for the trees to grow into the bands, so a second measurement will be needed for the trees with replaced bands.
Data Table Name:
2023_fern_count - Sheet1
Description:
A count of the ferns located within the vegetation plots. Each vegetation plot is 2x2m, and is split into 1x1m quadrants. The NW and SE quadrants are where the ferns were counted.
Data Table Name:
species_list
Description:
List of tree species found within the FoRTE plots. The species are commonly referred to using their 4-letter code.
Data Table Name:
PCL_summary_Forte2023
Description:
Remotely sensed canopy data from a portable canopy LiDAR.
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1553/1/ce247f92c87136551a6aee28342a263e
Name:Rs_2023
Description:This data was collected in the summer of 2023. Fluxes were measured from 10cm diameter soil collars located in the ordinal directions and the center of each FoRTE subplot. If the first two measurements were within 10% of each other we proceeded to the next collar. Otherwise a second and sometimes third set of measurements were taken. This data is a part of the Gough Lab REU program, and data was collected by Sonal Sunil.
Number of Records:968
Number of Columns:10

Table Structure
Object Name:Rs_2023.csv
Size:31937 byte
Authentication:d67a8540b95005ff7ef79886bd546fa8 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 Rep_IDPlot_IDSubplotnestSubplotRunsoilCO2EffluxsoilTempVWCdateComments
Column Name:Rep_ID  
Plot_ID  
Subplot  
nestSubplot  
Run  
soilCO2Efflux  
soilTemp  
VWC  
date  
Comments  
Definition:There are 4 replicates within our study area. This indicates which regionally representative replicate the data comes fromThe plot where the data was taken from.The identification of the subplot located within each replicate. Subplots are either in the East or West directionInforms which soil collar within the subplots that the data were collected fromThe number of times soil respiration was taken at the soil collar. If the first and second run aren't within 10% of each other a second, and sometimes a third set of runs will need to be taken.Gives the efflux of the soil collar.Soil temperature that is taken within 7cm of the soil collar.Volumetric Water Content give the soil moisture of the area around the soil collar.Date on which data was collectednotes on data
Storage Type:string  
string  
string  
string  
float  
float  
float  
float  
dateTime  
string  
Measurement Type:nominalnominalnominalnominalratioratioratioratiodateTimenominal
Measurement Values Domain:
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeA
DefinitionReplicate ID
Source
Code Definition
CodeB
DefinitionReplicate ID
Source
Code Definition
CodeC
DefinitionReplicate ID
Source
Code Definition
CodeD
DefinitionReplicate ID
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code1
Definitionrun number
Source
Code Definition
Code2
Definitionrun number
Source
Code Definition
Code3
Definitionrun number
Source
Code Definition
Code4
Definitionrun number
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codee
DefinitionSubplot identification. It will be either East or West
Source
Code Definition
Codew
DefinitionSubplot identification. It will be either East or West
Source
Code Definition
Codew
DefinitionSubplot identification. It will be either East or West
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codec
Definitionsoil collar location within subplot
Source
Code Definition
Codee
Definitionsoil collar location within subplot
Source
Code Definition
Coden
Definitionsoil collar location within subplot
Source
Code Definition
Codes
Definitionsoil collar location within subplot
Source
Code Definition
Codes
Definitionsoil collar location within subplot
Source
Code Definition
Codew
Definitionsoil collar location within subplot
Source
Code Definition
Codew
Definitionsoil collar location within subplot
Source
Unitno unit
Typeinteger
UnitN/a
Typereal
Unitcelsius
Typereal
UnitkPa
Typereal
FormatMM-DD-YYYY
Precision
Definitiontext
Missing Value Code:                    
Accuracy Report:                    
Accuracy Assessment:                    
Coverage:                    
Methods:                    

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1553/1/cc539662980f2a5d9a74210024333afe
Name:raw_subcanopy_dendrobands_2023 - sheet 1
Description:DBH was recorded for selected sub canopy trees. These trees were selected at the beginning of the experimental manipulation during the 2018 field season. Trees are measured bi-annually in the summer and fall to get complete growth data for the year.
Number of Records:556
Number of Columns:7

Table Structure
Object Name:raw_subcanopy_dendrobands_2023 - sheet 1.csv
Size:20051 byte
Authentication:07207a0cc53f1be04f40e1dd0a5caec8 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 uniqueIDquadratspeciestagDBH-cmdatenotes
Column Name:uniqueID  
quadrat  
species  
tag  
DBH-cm  
date  
notes  
Definition:Identification number for each tree that gets sampledLocation in which the subcanopy trees are located.Name of subcanopy tree speciesThe tree's tag number.Diameter at breast height in cm of selected subcanopy trees.Date on which data was collectednotes on data
Storage Type:string  
string  
string  
float  
string  
string  
string  
Measurement Type:nominalnominalnominalrationominalnominalnominal
Measurement Values Domain:
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeNE
DefinitionLocation of vegetation plot that subcanopy tree is either inside of or near.
Source
Code Definition
CodeNW
DefinitionLocation of vegetation plot that subcanopy tree is either inside of or near.
Source
Code Definition
CodeSE
DefinitionLocation of vegetation plot that subcanopy tree is either inside of or near.
Source
Code Definition
CodeSW
DefinitionLocation of vegetation plot that subcanopy tree is either inside of or near.
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeACPE
Definition4-letter species code
Source
Code Definition
CodeACRU
Definition4-letter species code
Source
Code Definition
CodeACSA
Definition4-letter species code
Source
Code Definition
CodeAMEL
Definition4-letter species code
Source
Code Definition
CodeFAGR
Definition4-letter species code
Source
Code Definition
CodePIRE
Definition4-letter species code
Source
Code Definition
CodePIST
Definition4-letter species code
Source
Code Definition
CodePOGR
Definition4-letter species code
Source
Code Definition
CodeQURU
Definition4-letter species code
Source
UnitN/A
Typeinteger
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code11/10/2023
Definitiondate
Source
Code Definition
Code11/11/2023
Definitiondate
Source
Code Definition
Code11/12/2023
Definitiondate
Source
Code Definition
Code11/13/2023
Definitiondate
Source
Code Definition
Code6/27/2023
Definitiondate
Source
Code Definition
Code6/28/2023
Definitiondate
Source
Code Definition
Code6/29/2023
Definitiondate
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codecrushed by multiple trees still alive
Definitionnotes on tree
Source
Code Definition
Codedead
Definitionnotes on tree
Source
Code Definition
Codemain stem looks dead, but one branch is alive
Definitionnotes on tree
Source
Code Definition
CodeMIA
Definitionnotes on tree
Source
Code Definition
Codesmashed and pinned by falling log
Definitionnotes on tree
Source
Missing Value Code:        
CodeNA
Explnot applicable
   
Accuracy Report:              
Accuracy Assessment:              
Coverage:              
Methods:              

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1553/1/a260c93f7f12ceb5f7750b3792abeaf1
Name:raw_seedling_saplings_2023 - Sheet1
Description:Seedling and sapling data are collected from 2x2 meter vegetation plots located within the subplots of FoRTE. There are 4 vegetation plots per subplot, and they are located in the ordinal directions NE, NW, SE, and SW. Vegetation plots are segmented into four 1x1m plots, with the NW and SE quadrants measured.
Number of Records:3678
Number of Columns:8

Table Structure
Object Name:raw_seedling_saplings_2023 - Sheet1.csv
Size:129741 byte
Authentication:b4e642f21e729599f2a761dcc788a015 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 subplotveg_plotquadrantspeciesbase_D (cm)height (mm)datenotes
Column Name:subplot  
veg_plot  
quadrant  
species  
base_D (cm)  
height (mm)  
date  
notes  
Definition:The plot where the data was taken from.Vegetation plot where data was taken from.The quadrant where seedling and sapling data were collected from.Species 4-letter codeBase diameter for each seedling and sapling measured.height or length of each seedling/saplingDate on which data was collectednotes on data
Storage Type:string  
string  
string  
string  
float  
float  
dateTime  
string  
Measurement Type:nominalnominalnominalnominalratioratiodateTimenominal
Measurement Values Domain:
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeNE
DefinitionLocation of vegetation plot
Source
Code Definition
CodeNW
DefinitionLocation of vegetation plot
Source
Code Definition
CodeSE
DefinitionLocation of vegetation plot
Source
Code Definition
CodeSW
DefinitionLocation of vegetation plot
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeNW
DefinitionLocation within vegetation plot where seedling and sapling data were collected.
Source
Code Definition
CodeSE
DefinitionLocation within vegetation plot where seedling and sapling data were collected.
Source
Definitiontext
Unitcentimeter
Typereal
Unitmillimeter
Typereal
FormatYYYY-MM-DD
Precision
Definitiontext
Missing Value Code:      
CodeNA
Explnot applicable
CodeNA
Explnot applicable
CodeNA
Explnot applicable
   
Accuracy Report:                
Accuracy Assessment:                
Coverage:                
Methods:                

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1553/1/7c50ed71ec8ec53bc46b802428c1361d
Name:cwd_2023 - Sheet1
Description:Coarse woody debris survey. Transect were run North-South and East-West within the subplots. All woody stems that were greater than 7cm at point of intersection and longer than a meter were counted. Species of each woody stem was estimated based on bark and branching patterns when present.
Number of Records:435
Number of Columns:11

Table Structure
Object Name:cwd_2023 - Sheet1.csv
Size:25524 byte
Authentication:616a0bd7020d8958f1adf29fbe5545e5 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 subplot_idtransectlocation_on_transect_mspeciesdecay_classdbh_cmd1_cmd2_cmlength_mdatenotes
Column Name:subplot_id  
transect  
location_on_transect_m  
species  
decay_class  
dbh_cm  
d1_cm  
d2_cm  
length_m  
date  
notes  
Definition:The plot where the data was taken from.Transect on which data were taken from. Either North-South or East-WestLocation where woody piece crossed the transect tapeSpecies 4-letter codeHow decayed the woody stem is based on the FIA 2021 field manual standardsDiameter at breast height in cm of woody stem where it crosses the transect linediameter of stem at the proximal enddiameter of stem at the distal endLength of stem that crosses that transect. Must be at least a meter in length.Date on which data was collectednotes on data
Storage Type:string  
string  
float  
string  
float  
float  
float  
string  
float  
string  
string  
Measurement Type:nominalnominalrationominalratioratiorationominalrationominalnominal
Measurement Values Domain:
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeEast
DefinitionDirection of transect line
Source
Code Definition
CodeNorth
DefinitionDirection of transect line
Source
Code Definition
CodeNorth_South
DefinitionDirection of transect line
Source
Code Definition
CodeSouth
DefinitionDirection of transect line
Source
Code Definition
CodeWest
DefinitionDirection of transect line
Source
Code Definition
CodeWest_East
DefinitionDirection of transect line
Source
Unitmeter
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeACPE
Definition4-letter species code
Source
Code Definition
CodeACRU
Definition4-letter species code
Source
Code Definition
CodeBEPA
Definition4-letter species code
Source
Code Definition
CodeFAGR
Definition4-letter species code
Source
Code Definition
CodePOGR
Definition4-letter species code
Source
Code Definition
CodePIRE
Definition4-letter species code
Source
Code Definition
CodePIST
Definition4-letter species code
Source
Code Definition
CodePOGR
Definition4-letter species code
Source
Code Definition
CodePOGR
Definition4-letter species code
Source
Code Definition
CodeQURU
Definition4-letter species code
Source
Code Definition
Codeunknown
Definitionunidentified species
Source
Unitunitless
Typereal
Unitcentimeter
Typereal
Unitcentimeter
Typereal
Definitiontext
Unitmeter
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code07-17-2023
Definitiondate
Source
Code Definition
Code07-19-2023
Definitiondate
Source
Code Definition
Code07-21-2023
Definitiondate
Source
Code Definition
Code07-24-2023
Definitiondate
Source
Code Definition
Code07-25-2023
Definitiondate
Source
Code Definition
Code07-26-2023
Definitiondate
Source
Code Definition
Code07-27-2023
Definitiondate
Source
Code Definition
Code07-28-2023
Definitiondate
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codecrosses N transect as well
Definitionnotes on tree
Source
Code Definition
Codecrosses n-s transect
Definitionnotes on tree
Source
Code Definition
Codecrosses S transect
Definitionnotes on tree
Source
Code Definition
Codecrosses W transect
Definitionnotes on tree
Source
Code Definition
Codecrosses w-e transect
Definitionnotes on tree
Source
Code Definition
CodeD2 overhead
Definitionnotes on tree
Source
Code Definition
CodeOne side more rotten than the other
Definitionnotes on tree
Source
Missing Value Code:    
CodeNA
Explnot applicable
 
CodeNA
Explnot applicable
CodeNA
Explnot applicable
CodeNA
Explnot applicable
CodeNA
Explnot applicable
CodeNA
Explnot applicable
   
Accuracy Report:                      
Accuracy Assessment:                      
Coverage:                      
Methods:                      

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1553/1/bc31a1525757fdd1ac1626d306334d60
Name:2023_raw_canopy_dendrobands
Description:This data sheet includes both the summer and winter measurements from the canopy dendrometer banded trees. It also includes the replaced dendrometer banded trees, and there initial measurements. It takes about a year for the trees to grow into the bands, so a second measurement will be needed for the trees with replaced bands.
Number of Records:1332
Number of Columns:11

Table Structure
Object Name:2023_raw_canopy_dendrobands - bands_23.csv
Size:67434 byte
Authentication:2b10b3bbbf8d389ca0c151cdae6cfb7f Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 subplottagspeciesdbh_cmfatebottom_in_2023top_in_2023notes_2023datenotes_fall_2022notes_s_2022
Column Name:subplot  
tag  
species  
dbh_cm  
fate  
bottom_in_2023  
top_in_2023  
notes_2023  
date  
notes_fall_2022  
notes_s_2022  
Definition:The plot where the data was taken from.Identification number for each tree that gets sampledSpecies 4-letter codeDiameter at breast height in cm of selected trees.Whether or not the tree was stem girdled for the experiment.Bottom band readingTop band readingnotes on dataDate on which data was collectednotes on dataNotes on data from summer 2022
Storage Type:string  
float  
string  
float  
string  
string  
float  
string  
string  
string  
string  
Measurement Type:nominalrationominalrationominalnominalrationominalnominalnominalnominal
Measurement Values Domain:
Definitiontext
Unitunitless
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeABBA
Definition4-letter species code
Source
Code Definition
CodeACPE
Definition4-letter species code
Source
Code Definition
CodeACRU
Definition4-letter species code
Source
Code Definition
CodeACSA
Definition4-letter species code
Source
Code Definition
CodeBEPA
Definition4-letter species code
Source
Code Definition
CodeFAGR
Definition4-letter species code
Source
Code Definition
CodePIRE
Definition4-letter species code
Source
Code Definition
CodePIST
Definition4-letter species code
Source
Code Definition
CodePOGR
Definition4-letter species code
Source
Code Definition
CodeQURU
Definition4-letter species code
Source
Unitcentimeter
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codekill
DefinitionFate of the tree. Killed trees were girdled at the beginning of the experiment.
Source
Code Definition
Codelive
DefinitionFate of the tree. Live trees were not girdled at the beginning of the experiment.
Source
Definitiontext
Unitcentimeter
Typereal
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code06-30-2023
Definitiondate
Source
Code Definition
Code07-01-2023
Definitiondate
Source
Code Definition
Code07-05-2023
Definitiondate
Source
Code Definition
Code07-06-2023
Definitiondate
Source
Code Definition
Code07-07-2023
Definitiondate
Source
Code Definition
Code11-10-2023
Definitiondate
Source
Code Definition
Code11-11-2023
Definitiondate
Source
Code Definition
Code11-12-2023
Definitiondate
Source
Code Definition
Code11-13-2023
Definitiondate
Source
Definitiontext
Definitiontext
Missing Value Code:          
CodeNA
Explnot applicable
CodeNA
Explnot applicable
       
Accuracy Report:                      
Accuracy Assessment:                      
Coverage:                      
Methods:                      

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1553/1/2dce707cb1b8ae18844d2afa51471aeb
Name:2023_fern_count - Sheet1
Description:A count of the ferns located within the vegetation plots. Each vegetation plot is 2x2m, and is split into 1x1m quadrants. The NW and SE quadrants are where the ferns were counted.
Number of Records:280
Number of Columns:7

Table Structure
Object Name:2023_fern_count - Sheet1.csv
Size:7902 byte
Authentication:da6059e7f552e779e289fa5c5dd3f259 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 rep_idsubplot_idveg_plotquadrantcountdatenotes
Column Name:rep_id  
subplot_id  
veg_plot  
quadrant  
count  
date  
notes  
Definition:There are 4 replicates within our study area. This indicates which regionally representative replicate the data comes fromThe plot where the data was taken from.Vegetation plot where data was taken from. Plots are located in the ordinal directions within the subplots.Location within vegetation plots where data was collected from.Number of ferns found within vegetation 1x1m quadrant.Date on which data was collectednotes on data
Storage Type:string  
string  
string  
string  
float  
string  
string  
Measurement Type:nominalnominalnominalnominalrationominalnominal
Measurement Values Domain:
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeA
DefinitionReplicate ID
Source
Code Definition
CodeB
DefinitionReplicate ID
Source
Code Definition
CodeC
DefinitionReplicate ID
Source
Code Definition
CodeD
DefinitionReplicate ID
Source
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeNE
DefinitionVegetation plot quadrant.
Source
Code Definition
CodeNW
DefinitionVegetation plot quadrant.
Source
Code Definition
CodeSE
DefinitionVegetation plot quadrant.
Source
Code Definition
CodeSW
DefinitionVegetation plot quadrant.
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeNW
Definition1x1m Quadrant location with 2x2m vegetation vegetation plot.
Source
Code Definition
CodeSE
Definition1x1m Quadrant location with 2x2m vegetation vegetation plot.
Source
Unitunitless
Typeinteger
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code07-01-2023
Definitiondate
Source
Code Definition
Code07-06-2023
Definitiondate
Source
Code Definition
Code07-12-2023
Definitiondate
Source
Code Definition
Code07-13-2023
Definitiondate
Source
Definitiontext
Missing Value Code:              
Accuracy Report:              
Accuracy Assessment:              
Coverage:              
Methods:              

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1553/1/425252429b1df10ef892aa964ec1c8af
Name:species_list
Description:List of tree species found within the FoRTE plots. The species are commonly referred to using their 4-letter code.
Number of Records:13
Number of Columns:3

Table Structure
Object Name:species_list.csv
Size:525 byte
Authentication:ed21eb44d3e13eabf1b733c3a071bd77 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
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Table Column Descriptions
 4-letter codeScientific nameCommon name
Column Name:4-letter code  
Scientific name  
Common name  
Definition:The 4-letter code is used to identify species of interest within the experiment. The code uses the first two letters of the genus and species. For example Populus grandidentata is POGR.The scientific name of species.The layman's term name for species
Storage Type:string  
string  
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Measurement Type:nominalnominalnominal
Measurement Values Domain:
Definitiontext
Definitiontext
Definitiontext
Missing Value Code:      
Accuracy Report:      
Accuracy Assessment:      
Coverage:      
Methods:      

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1553/1/3562c8ee9ce995f555c6c7abcbb63f34
Name:PCL_summary_Forte2023
Description:Remotely sensed canopy data from a portable canopy LiDAR.
Number of Records:64
Number of Columns:54

Table Structure
Object Name:PCL_summary_Forte2023.csv
Size:32916 byte
Authentication:4c5eb636c2e75952eeb6b04a1b58083c Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 xplotmean.height.meanheight.2mean.height.medianmean.height.varmean.height.rmstransect.lengthcan.max.htmochcan.max.ht.medianvai.meanvai.sdvai.medianvai.column.maxvai.max.ht.meanvai.max.ht.sdvai.max.ht.medianvai.maxvai.mean.peakvai.peak.sdvai.peak.mediandeep.gapsdeep.gap.fractionporositystd.stdmean.stdrugositytop.rugositymean.return.htsd.return.htmedian.return.htsky.fractioncanopy.covermax.htscan.densityrumplegap.variablesenlfhdentropyginimean.intensitymedian.intensitysd.intensitymax.intensitymin.intensityskew.intensitykurtosis.intensityp10p25p50p75p90
Column Name:x  
plot  
mean.height.mean  
height.2  
mean.height.median  
mean.height.var  
mean.height.rms  
transect.length  
can.max.ht  
moch  
can.max.ht.median  
vai.mean  
vai.sd  
vai.median  
vai.column.max  
vai.max.ht.mean  
vai.max.ht.sd  
vai.max.ht.median  
vai.max  
vai.mean.peak  
vai.peak.sd  
vai.peak.median  
deep.gaps  
deep.gap.fraction  
porosity  
std.std  
mean.std  
rugosity  
top.rugosity  
mean.return.ht  
sd.return.ht  
median.return.ht  
sky.fraction  
canopy.cover  
max.ht  
scan.density  
rumple  
gap.variables  
enl  
fhd  
entropy  
gini  
mean.intensity  
median.intensity  
sd.intensity  
max.intensity  
min.intensity  
skew.intensity  
kurtosis.intensity  
p10  
p25  
p50  
p75  
p90  
Definition:To upload data there needed to be a column name for the record number that was taken for each data point.The plot where the data was taken from.Mean height of the canopy at that data point.Height of the canopyMedian height of the canopyVariance of mean heightRoot mean square of the canopy heightLength of the transect walked to complete data collectionCanopy maximum heightMean outer canopy heightMedian of maximum canopy heightVegetation area index meanStandard deviation of vegetation area indexVegetation area index medianVegetation area index maximumVegetation area index maximum heightVegetation area index maximum height standard deviationVegetation area index maximum median heightVegetation area index maximumVegetation area index maximum peakVegetation area index maximum peak standard deviationVegetation area index median peakGaps in forest canopyTotal number of deep gaps divided by length of transectRatio of bins with no leaf area to total binsStandard deviation column variability of mean leaf heightTransect mean of column variability of mean leaf heightTransect variability of column variability of leaf densityTransect variability of column maximum canopy heightMean height at which a data point was received along the transectStandard deviation of canopy return heightMedian of canopy return heightTransect mean of column ratio of canopy hits relative to total sky returnsopenness of the outer surface of the canopy as a two dimensional (x, y) horizontal plane.Maximum canopy heightThe ratio of vegetation to groundThe ratio of the outer canopy surface to the ground and correlates with canopy closure, tree density and mean diameter at breast height, and varies with stand plant community structure and ageN/AA measure of occupation of 1 m wide layers by vegetation relative to total space occupation in a standan application of the Shannon–Weiner diversity function applied to the vertical distribution of lidar return heights that describes forest layering, an important consideration for ecosystem demography modelingThe level of chaos or unpredictability is advantageous for quantifying forest Canopy Structural Complexity (CSC). A forest stand with greater complexity is expected to exhibit a more random arrangement of canopy elements, resulting in a more uniformly distributed lidar point cloud and, consequently, increased entropy.measure of statistical dispersion often used to quantify the inequality of a distributionMeasure of the strength or magnitude of the returned signals. The mean intensity is calculated by averaging the intensity values of all the lidar returns within a defined areaThe middle value of the intensity distribution of lidar returns within a specified areaStandard deviation of the intensity distribution of lidar returns within a specific areaThe maximum value of the intensity distribution of lidar returns within a specified areaMinimum value of the intensity distribution of lida returns within a specific areaThe skewness of the intensity distribution. Statistical measure that describes the asymmetry of a probability distribution.The distribution's tail behavior and whether it is more or less peaked than a normal distributionp10p25p50p75p90
Storage Type:float  
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Measurement Type:rationominalratioratioratioratiorationominalratioratioratioratioratiorationominalratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
Unitno unit
Typeinteger
Definitiontext
Unitmeter
Typereal
Unitmeter
Typereal
Unitmeter
Typereal
Unitmeter
Typereal
Unitmeter
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code40
DefinitionThe length of transect walked to collect data
Source
Unitmeter
Typereal
Unitmeter
Typereal
Unitmeter
Typereal
Unitunitless
Typereal
Unitunitless
Typereal
Unitunitless
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code8
DefinitionVegetation area index maximum
Source
Unitmeter
Typereal
Unitmeter
Typereal
Unitmeter
Typereal
Unitunitless
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Typeinteger
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Typereal
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Typereal
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Unitmeter
Typereal
Unitmeter
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Typereal
Unitmeter
Typereal
Unitratio
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Unitcount
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Typeinteger
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Typereal
Unitunitless
Typereal
Unitunitless
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Typereal
Unitunitless
Typereal
Unitunitless
Typereal
Unitunitless
Typereal
Missing Value Code:                                                                                                            
Accuracy Report:                                                                                                            
Accuracy Assessment:                                                                                                            
Coverage:                                                                                                            
Methods:                                                                                                            

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
(No thesaurus)University of Michigan Biologial Station, carbon sequestration, moderate disturbance, UMBS
LTER Controlled Vocabularycarbon, forests, disturbance, community composition

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

Soil Core Installation

This process is started out by initiating a soil pit near the Biotron at the University of Michigan Biological Station. Kayla Mathes has selected an area within the forest just west of the path leading to the Biotron for soil removal.

Select an approximately 6 foot by 6 foot area as your soil pit. Using a shovel, remove all leaf litter, and the top 3 inches or so (all organic layer) from this patch of soil.

Using the shovel, start to fill the empty bucket with soil, until filled to the top. You may need to saw large roots with the wood saw as you dig into this pit, and also will want to hand remove most large clumps of roots and woody debris as you fill the bucket. Try to get a homogenous sample of the soil, and dig no deeper than 30 cm into the soil throughout the soil pit (the depth of a given soil core).

Take the bucket and the large tarp out onto the path to begin the sieving process. Set up a chair if desired.

Stack the two soil sieves on top of each other. The best way to do this is to have both sieves positioned with the metal side up. This provides an area for the soil to accumulate within each of the two layers provided by the sieves, so that it can more easily fall through the cracks.

Dump about half of the bucket onto the sieve, and with your hands start to spread out the soil and allow it to fall through the first sieve. Repeat until you have sieved through the entire first bucket.

Remove the top sieve and sieve the soil sitting on the lower sieve until it all falls through to the tarp.

Shake off both sieves, and check the top layer of the soil pile you have created for a layer of fine roots- they often settle at the top of the soil pile.

Using the milk carton scoops, fill the cores, tapping them down on the ground to make sure they are fully packed. Fill them all the way to the top, fully packed, so that you have extra soil to work with in case they spill on your way out to the field.

Wrap each soil core with one layer of wax paper, tape it with masking tape, and place it back within its soil core bag.

Repeat process until all soil cores are filled. It takes usually about 10-12 buckets.

Stack cores so that they are all standing up straight in a vehicle, and so they are braced against each other and the walls of the vehicle so they will not slide around.

Drive out to the starting positions for A, B, C and D. For each subplot, there will be 4 cores, located at the North, South, East and West sides of the plots. The North point of the plot is indicated by a blue pole, and all other points are indicated by orange poles (some of these have faded over time). Each pole also has a leaf litter trap next to it. There should be two blue flags placed in the ground near this leaf litter trap and pole. The one nearer to the leaf litter trap marks the position of the soil collar. The other one, which should be found a meter away from the soil collar in the opposite direction of the leaf litter trap, marks the position of the soil core hole. If these flags are missing, you can usually use the typical spacing described here as a way to find them. Replace flags as needed.

If the hole is found too close to another older hole, or cannot be found at all, a new hole can be dug using the steel pipe. Using a sledgehammer, drive the steel pipe into the ground until it is as deep as the bottom line on the red tape.

If the hole is found and is in a good position, use the sledgehammer to drive the steel pipe into the hole, to allow for the dirt to be removed that may have accumulated at the bottom of the hole. If necessary, use your hand to pull any loose dirt that remains at the bottom of the hole.

Place the core into the hole, and using the spare dirt from the steel pipe, fill in the gaps between the core and the walls of the hole.

Repeat for all cores across FoRTE.

Instrument(s):2 Large metal and wood sieves Large blue tarp Bucket Soil cores (128 of them across 32 bags) Milk carton scoops (Milk cartons with bottom cut off of them) Chair Shovel Wood saw Wax paper (3-4 rolls) Masking tape Steel pipe with red tape used to create soil core holes Sledgehammer
Description:

Vegetation Plot Sampling

1.Within each subplot (i.e., A01E), there are 4 vegplots: Northwest, Northeast, Southeast, and Southwest. These are all found approximately halfway between the cardinal direction poles that make up the name of each vegplot (i.e. the NW vegplot is about halfway between the orange western pole and the blue northern pole), positioned slightly closer to the center pole. They are marked out with thin PVC pipes marking each corner, and each PVC pipe has a red flag placed within it. The plots are 2 m x 2 m squares.

2. For the past 3 summers (2020, 2021, 2022), we have only sampled the Northwest and Southeast corners of every vegplot. This means we are sampling 2 of the 4 1 m segments that make up a given vegplot. To sample a spot, take the collapsable 1 m x 1 m PVC grid and place it on top of the corner under study. The easiest way to do this is to place it on top of the corner pipe corresponding with the corner you are studying, and then slide it around, using the other PVC pipes as reference, until it is lined up appropriately to capture that corner. You may need to use the collapsable side of the grid to adjust it to fit around small trees, branches, etc.

3. To sample, examine every seedling that belongs to a species that has the potential to become a tree that is rooted within the grid that you have placed down. For some species, especially the ACPE in A, it can be difficult to find where it is rooted, so you must be persistent. For any plants that are at least as high as breast height and measure 1 cm or more diameter at breast height, they are not to be measured. Anything smaller than this is censused.

4. To measure a seedling’s base diameter, take it’s base diameter with the caliper, at the location right above where it is rooted in the soil. These sizes can be placed into bins: for all with base diameter from 0 - 0.39 cm, it can fall within that bin. Base diameter any higher should be measured to the nearest 0.1 cm.

5. For a seedling’s height, take a standard ruler and measure to the height of the base of the highest leaf. This means that where the stem of the highest leaf meets the central stem is where you measure to. For some species, especially FAGR and ACPE, you may have to stretch the plant out as it will be viney/bent over. For most small seedlings, though, a measurement can just be taken from the base of the plant without touching it. For plants where leaves have either fallen off or it isn’t distinctly leafy (i.e. AMEL), measure to the highest point of the woody stem. Measure to the nearest millimeter. Remember, the ruler has 0.5 mm of space at its bottom that needs to be added back to all measurements, but the code designed by previous graduate students often accounts for this. Once this step is complete, use the paint pen to make a small mark on the stem to keep track of which plants have been measured as you work your way around the grid.

6. The only species we have ever seen are, from approximately most common to least common: ACRU (Red maple), ACPE (Striped maple), ACSA (Sugar maple), FAGR (American beech), AMEL (Serviceberry), QURU (Northern red oak), PIST (White pine), POGR (Bigtooth aspen), POTR (Quaking aspen), FRPE/FRNI (Ash), ABBA (Balsam fir). Old codes you might see are VBAC (should be VIAC, maple viburnum, which is an herbaceous species), FRAM (another type of ash, it's debatable what the couple of ash that we see are, yellow ash, green ash or black ash). VBAC/ MAPLE VIBURNUM SHOULD NOT BE COUNTED. See the “Vegplot Species Key” for some help identifying these species (link here). Generally speaking, the species are easy to tell apart, but watching out for VBAC and distinguishing between very young ACRU and ACPE are the things that require the most training.

Instrument(s):PVC grid for designating vegplot perimeter (1m square) Calipers (preferably manual) Pencil Ruler (one where numbers won’t rub off) Clipboard Vegplot printed sheets Orange paint pen
Description:

Subcanopy Survey Protocol

1. There are about 279 trees censused in the subcanopy study. These trees can be found clustered around the 4 vegplots found in the subplots (the 1 meter by 1 meter squares surrounded by PVC pipes with red flags placed within them): the Northeast, Southeast, Southwest and Northwest vegplots. They are often even found inside the plots. They are always tagged with circular tags, usually hung from the tree with pink or white colored wire, and are tagged typically with white flagging on one of its branches (sometimes, you will see small trees that have orange flagging that are of similar size, and these are Lisa’s trees that are not censused).

2. Some trees will have no flagging, however, but you will get good at guessing which trees might be the ones under study.

3. Like with the dendroband reading, the best process is to have the recorder find the trees and to have the reader follow them and read those trees.

4. Use quality calipers, usually made not just of plastic, to measure these trees (the calipers used in the example below are not of great quality). You must find the spot on the tree where the previous recorder recorded the tree, always marked with an orange paint pen line and usually near breast height (1.37 meters above the ground). Make a new mark over this line if it is fading at all after measuring.

5. It is important to look straight on at the caliper, and to make sure that the two sliding pieces are lined up properly, and one isn’t distorted. This may require adjusting your position in relation to the tree.

6. Take notes on any trees missing tags, or trees that have died.

Instrument(s):Calipers Pencil Clipboard Vegplot printed sheets Dbh tape Orange paint pen
Description:

Canopy Dendrobands

1. There are about 667 trees throughout A, B, C and D that have dendrobands that must be read every season. Some of these trees have top and bottom bands that need to be read. Some of these extra bands were installed in order to study whether there was any kind of swelling going on near the girdle. Some other extra bands have been installed in 2022 for trees where the stickers are becoming harder to read. These bands almost always were installed below the original bands, and we hope that the original band is still readable for long enough for the trees to grow into their new bands (new bands were installed before June 24th, 2022 and after May 23rd, 2022).

2. Bands are arranged on trees clockwise from plot center, starting from the north pole in each FoRTE subplot. The easiest way to get it all done is to have one recorder search for each tree individually, and the reader read those trees as the recorder finds them. Start with a tree close to north, and work your way clockwise through the plot. Some trees may be surprisingly close to plot center or far away from the plot center, so use the data on the species and size of the tree as a guide to find it. Say that the first number of your plot is 607, and the last number is 712- 607 will likely be just to the right of the north pole, and 712 will likely be just to the left of it (the end of the clockwise circle).

3. Read each dendroband with care, and take note of any that are unreadable. Do not give up easily on reading the dendrobands, because often, as you will see in the examples below, there are “shadows” of lines that can be used to judge how much the tree has grown. Certainly take notes if you feel that the stickers, either the one closer to the tree or further from the tree, need replacing. For trees that certainly need their sticker closer to the tree replaced, the whole band must be replaced. For trees that certainly need their sticker further from the tree replaced, often a new sticker can simply be installed on top of the old one.

4. To read a dendroband, find where the 0 line of the overlaid sticker lands in relation to the sticker on top of it. This will give you the first whole number and the first decimal number of what will eventually be a 1 whole number, 2 decimal number that you create (i.e, 2.43). To find the second decimal number, find the overlaid sticker line that lines up best with a line on the sticker closer to the tree. Use the pictures and associated notes below to guide you through this process. Sometimes, it can be useful to carry a pencil out and draw on top of the shadows of lines, and give you a better sense of where things line up.

5.Take note of any trees that have lost their dendroband, have had it mangled by another tree, or are so dead that the band is now loose and expanded on the exterior of the tree because of the loss of bark. Sometimes, if a tree has overgrown its band, you can use a caliper to measure the distance from the end of the band to where it would have landed if it still had room on the sticker, and this can be used to still calculate its full growth. Note this when recording as “ + 1.625 cm” or whatever it may be.

Instrument(s):Pencil Clipboard Dendroband survey printed sheets Dbh tape Calipers
Description:

Fern Count

1. Use the 1x1m PVC pipe quadrant, and place it so that you can measure the NW and SE quadrants of the 2x2m vegetation plots located within each subplot. There are four vegetation plots per subplot, and two quadrants to measure within each vegetation plot.

2. Using an orange paint pen to keep track, begin counting all of the ferns within the 1x1m square. Once they have been counted write up the tally on the data sheet, and move to the next quadrant.

Instrument(s):PVC grid for designating vegplot perimeter (1m square) Pencil Clipboard Fern count printed sheets Orange paint pen

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@edirepository.org
Web Address:
https://edirepository.org
Id:https://ror.org/0330j0z60
Creators:
Individual: Angela Menna
Organization:Virginia Commonwealth University
Position:Field Technician
Email Address:
acmenna@vcu.edu
Individual: Erin-Darby McClain
Organization:Virginia Commonwealth University
Position:Field Technician
Email Address:
mcclainedh@vcu.edu
Individual: Sona Sunil
Organization:Virginia Commonwealth University
Position:Research Experience for Undergraduates
Email Address:
sunilsl@vcu.edu
Individual: Ariel Johnson
Organization:Virginia Commonwealth University
Position:PhD Student
Email Address:
johnsonan10@vcu.edu
Contacts:
Individual:Dr. Chris Gough
Organization:Virginia Commonwealth University
Position:Associate Professor
Email Address:
cmgough@vcu.edu
Individual: Jason Tallant
Organization:University of Michigan Biological Station
Position:Data Manager and Research Specialist
Email Address:
jtallant@umich.edu
Individual: Helen Habicht
Organization:University of Michigan Biological Station
Position:Research Coordinator and Lab Manager
Email Address:
habicht@umich.edu
Associated Parties:
Individual: Jason M Tallant
Organization:University of Michigan Biological Station
Position:Data Manager
Address:
9133 Biological Road,
Pellston, MI 49769 United States
Phone:
734-615-5005 (voice)
Email Address:
umbsdata@umich.edu
Web Address:
https://lsa.umich.edu/umbs/people/staff/jtallant.html
Id:https://orcid.org/0000-0003-4790-8772
Id:https://ror.org/02hhndj92
Role:Data Manager
Individual: Helen Habicht
Organization:University of Michigan Biological Station
Position:Research Coordinator and Lab Manager
Address:
9133 Biological Road,
Pellston, MI 49769 United States
Email Address:
habicht@umich.edu
Web Address:
https://lsa.umich.edu/umbs
Id:https://orcid.org/0000-0002-2006-9422
Id:https://ror.org/02hhndj92
Role:Data Submission Review

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2023-06-03
End:
2023-08-02
Sampling Site: 
Description:Study site is located at the of the University of Michigan Biological Station (UMBS) in the norther lower peninsula of Michigan.
Site Coordinates:
Longitude (degree): 84.68Latitude (degree): 45.56

Project

Parent Project Information:

Title:Moderate severity disturbances from insects can increase temperate forest diversity and minimally impact net primary production
Personnel:
Individual: Chris Gough
Position:Associate Professor
Email Address:
cmgough@vcu.edu
Role:Principle Investigator for the FoRTE Project
Related Project:
Title:Forest Resilience Threshold Experiment
Personnel:
Individual: Chris Gough
Organization:Virginia Commonwealth University
Position:Associate Professor
Email Address:
cmgough@vcu.edu
Role:Principle Investigator for the FoRTE Project

Maintenance

Maintenance:
Description:

The data for the FoRTE project is primarily maintained on a shared Google Drive, which contains all data since the initiation of the project. Data for this project will continue to be taken on an annual basis during the summer through 2027. Data is initially collected by hand then transferred to our online repository before leaving the field site. We perform QA/QC on the data to make sure that all data are properly collected. Tables are cleaned to make sure species are properly identified, and that there are no missing values.

A secondary repository of the collected data is located on github (https://github.com/FoRTExperiment/fortedata). Physical samples were labeled in a standardized format, and are kept in our VCU lab where they are processed.

Frequency:annually
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'importedFromXML'
        |     |        \___attribute 'dateImported' = '2023-11-10'
        |     |        \___attribute 'filename' = 'UMBS_ Data Package Template.xml'
        |     |        \___attribute 'taxonomicCoverageExempt' = 'True'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'no unit'
        |     |     |     |  \___attribute 'name' = 'no unit'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'N/a'
        |     |     |     |  \___attribute 'name' = 'N/a'
        |     |     |     |___text '\n               '
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        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'kPa'
        |     |     |     |  \___attribute 'name' = 'kPa'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Kilo pascal'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'N/A'
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        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'unitless'
        |     |     |     |  \___attribute 'name' = 'unitless'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'ratio'
        |     |     |     |  \___attribute 'name' = 'ratio'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'count'
        |     |     |     |  \___attribute 'name' = 'count'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2024.01.03'
        |     |___text '\n      '
        |___text '\n   '

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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