Data Package Metadata View Summary

Factors Influencing Aboveground Carbon Storage in Mixed Oak-Pine Forests: USDA FIA Data from Southeastern U.S. (2009-2019)

General Information

Data Package:

Local Identifier:

edi.1739.2

Title:

Factors Influencing Aboveground Carbon Storage in Mixed Oak-Pine Forests: USDA FIA Data from Southeastern U.S. (2009-2019)

Alternate Identifier:

DOI PLACE HOLDER

Abstract:

This study explores factors affecting aboveground carbon (AGC) storage in mixed oak-pine forests across the Southeastern United States. Utilizing USDA Forest Inventory and Analysis (FIA) data from 2009 to 2019, the research spans nine states: Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, Louisiana, and Virginia. Data processing in R included converting units to the metric system and calculating structural diversity using Shannon diversity indices. Climate data from the PRISM Climate Group were integrated with FIA data using longitude and latitude. The research aims to uncover how various factors influence AGC storage and contribute to informed forest management practices.

Publication Date:

2024-09-25

For more information:
Visit:	DOI PLACE HOLDER

Time Period

Begin:

2009

End:

2019

People and Organizations
Contact:	Fatunsin, Olufemi E (University of Alabama, Graduate Student) [ email ]
Creator:	Fatunsin, Olufemi E (University of Alabama, Graduate Student)

Data Entities
Data Table Name:	oak_sem_data
Description:	This dataset comprises inventory data from the USDA Forest Service’s Forest Inventory and Analysis (FIA) program on tree aboveground carbon
Other Name:	Oak_Pine_SEM (VISUALIZATION AND SEM ANALYSES)
Description:	R script for the data visualization and analysis

Detailed Metadata

Data Entities

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/edi/1739/2/cd4890ca9ae3d43b021c575f5fd84f5f
Name:	oak_sem_data
Description:	This dataset comprises inventory data from the USDA Forest Service’s Forest Inventory and Analysis (FIA) program on tree aboveground carbon
Number of Records:	4316
Number of Columns:	31

Table Structure

Object Name:

oak_sem_data.csv

Size:

1025337 byte

Authentication:

e5a0c54db94381daa8db25f75fb4ae6c Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

plotID

elev

year

lat

long

plot_CARBON_AG_ha

plot_BA

BA_hectare

stems

stems_hectare

tree_species

shannon_sp

dbhclass

htclass

shannon_dbhR

shannon_htR

n_subplots

subplot_area

elevation

BAI

MAI_2

temp

precip

logcarbon

logELEV

stdELEV

stdtemp

stdprecip

stdSHN_SP

stdSHN_SD

stdCarbon

Column Name:

plotID

elev

year

lat

long

plot_CARBON_AG_ha

plot_BA

BA_hectare

stems

stems_hectare

tree_species

shannon_sp

dbhclass

htclass

shannon_dbhR

shannon_htR

n_subplots

subplot_area

elevation

BAI

MAI_2

temp

precip

logcarbon

logELEV

stdELEV

stdtemp

stdprecip

stdSHN_SP

stdSHN_SD

stdCarbon

Definition:

plot identification number

Elevation

measurement year

Latitude

longitude

aboveground carbon per hectare

plot basal area

basal area per hectare

trees per plot

trees per hectare

number of tree species per plot

Shannon diversity index for tree species

classes of trees at diameter-at-breast-height

height classes of trees

Shannon diversity index for tree diameter at breast height

Shannon diversity index for tree height

number of subplots

subplot area per hectare

Elevation

Basal Area Increment

Mean Annual Increment

mean annual temperature from 2009 to 2019

total annual precipitation from 2009 to 2019

base 10 logarithm of aboveground carbon

base 10 logarithm of elevation

Standardized value of elevation

Standardized value of Temperature

Standardized value of Precipitation

Standardized value of Shannon diversity index for tree species

Standardized value of Shannon diversity index for tree diameter at breast height

Standardized value of base ten logarithm of aboveground carbon

Storage Type:

string

float

integer

float

integer

float

integer

float

integer

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

text

Unit	meter
Type	real

Unit	dimensionless
Type	integer

Unit	dimensionless
Type	real

Unit	dimensionless
Type	real

Unit	megagramPerHectare
Type	real

Unit	meterSquaredPerAcre
Type	real

Unit	meterSquaredPerHectare
Type	real

Unit	dimensionless
Type	integer

Unit	dimensionless
Type	real

Unit	dimensionless
Type	integer

Unit	dimensionless
Type	real

Unit	dimensionless
Type	integer

Unit	dimensionless
Type	integer

Unit	dimensionless
Type	real

Unit	dimensionless
Type	real

Unit	dimensionless
Type	real

Unit	hectare
Type	real

Unit	meter
Type	real

Unit	kilogramPerHectarePerYear
Type	real

Unit	kilogramPerHectarePerYear
Type	real

Unit	celsius
Type	real

Unit	millimeter
Type	real

Unit	dimensionless
Type	real

Unit	dimensionless
Type	real

Unit	dimensionless
Type	real

Unit	dimensionless
Type	real

Unit	dimensionless
Type	real

Unit	dimensionless
Type	real

Unit	dimensionless
Type	real

Unit	dimensionless
Type	real

Missing Value Code:

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Non-Categorized Data Resource

Name:

Oak_Pine_SEM (VISUALIZATION AND SEM ANALYSES)

Entity Type:

Description:

R script for the data visualization and analysis

Physical Structure Description:

Object Name:

Oak_Pine_SEM (VISUALIZATION AND SEM ANALYSES).R

Size:

25567 byte

Authentication:

39747e5f00950fc81f2d4137614476d2 Calculated By MD5

Externally Defined Format:

Format Name:

Data:

https://pasta-s.lternet.edu/package/data/eml/edi/1739/2/d6a8228673b89d351e0b696a9cfd7beb

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)	Structural diversity, aboveground carbon, Southeastern United States, Diameter at breast height (DBH), USDA Forest Inventory and Analysis (FIA)

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:

Method Step Description:

Data Acquisition:

Current inventory data was obtained from the USDA Forest Service's Forest Inventory and Analysis (FIA) program, spanning from 1999 to 2022.

Filtered the dataset to include records from 2009 to 2019 to focus on recent data.

Geographic and Data Filtering:

The dataset was restricted to nine southeastern US states: Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, Louisiana, and Virginia.

Data was processed using R, including filtering and preparation.

Data Conversion:

Aboveground biomass (AGB) was converted from pounds per acre to kilograms per hectare.

Tree height data was converted from feet to meters.

Diameter at breast height (DBH) was converted from inches to centimeters.

Structural Diversity Calculation:

Structural diversity was calculated for tree height and diameter using predefined height and diameter classes (5 cm for smaller trees and 10 cm for larger trees).

Shannon diversity index was used to quantify the structural diversity.

Climate Data Integration:

Climate data from PRISM was integrated with the FIA data using nearest-neighbor spatial join techniques via the sf package in R.

Data Standardization:

The combined dataset was standardized to prepare for Structural Equation Modeling (SEM) analysis.

Instrumentation and Data Sources:

USDA Forest Service FIA Data:

Source: USDA Forest Service FIA

Time Range: 1999 to 2022

Filtered for: 2009 to 2019

Climate Data:

Source: PRISM Climate Group

Software:

R: Used for data filtering, conversion, and integration.

sf Package in R: Utilized for spatial joining of climate data with FIA data.

Data Processing:

Data conversions and calculations were performed using R scripts to ensure consistency with the metric system and prepare the data for analysis.

Data Source

United States Department of Agriculture (USDA) Forest Inventory Analysis (FIA)

Data Source

PRISM Climate Group

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:

Olufemi E Fatunsin

Organization:

University of Alabama

Position:

Graduate Student

Address:

CAPSTONE INTERNATIONAL CENTER,

TUSCALOOSA, Alabama 35487-0254 United States

Email Address:

oefatunsin@crimson.ua.edu

Id:

https://orcid.org/0000-0002-0766-6994

Contacts:

Individual:

Olufemi E Fatunsin

Organization:

University of Alabama

Position:

Graduate Student

Address:

CAPSTONE INTERNATIONAL CENTER,

TUSCALOOSA, Alabama 35487-0254 United States

Email Address:

oefatunsin@crimson.ua.edu

Id:

https://orcid.org/0000-0002-0766-6994

Temporal, Geographic and Taxonomic Coverage

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

Time Period

Begin:

2009

End:

2019

Geographic Region:

Description:

This dataset covers the southeastern United States, including the states of Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, Louisiana, and Virginia. It focuses on mixed oak-pine forests, capturing a range of forest conditions across these states to assess factors influencing aboveground carbon storage.

Bounding Coordinates:

Northern:	39.466	Southern:	24.3963
Western:	-106.6456	Eastern:	-75.2423

Project

Parent Project Information:

Title:

Investigation of Factors Influencing Aboveground Carbon Storage in Mixed Oak-Pine Forests in Southeastern United States

Personnel:

Individual:

Olufemi E Fatunsin

Organization:

University of Alabama

Position:

Graduate Student

Address:

CAPSTONE INTERNATIONAL CENTER,

TUSCALOOSA, Alabama 35487-0254 United States

Email Address:

oefatunsin@crimson.ua.edu

Id:

https://orcid.org/0000-0002-0766-6994

Role:

I conceived the idea, did the formal analysis of the data and reports

Abstract:

This project investigates the factors affecting aboveground carbon storage in mixed oak-pine forests across the Southeastern United States. The study utilized USDA Forest Service's Forest Inventory and Analysis (FIA) data from 1999 to 2022, focusing on data from 2009 to 2019. The dataset includes information from nine southeastern states: Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, Louisiana, and Virginia. Data was processed and converted using R, including the conversion of biomass from pounds to kilograms per hectare, tree height from feet to meters, and diameter at breast height from inches to centimeters. Structural diversity was calculated using Shannon diversity indices based on tree height and diameter classes. Climate data from the PRISM Climate Group was integrated with the FIA data to examine the relationship between climate variables and carbon storage. The standardized data was then prepared for Structural Equation Modeling (SEM) analysis.

Maintenance

Maintenance:

Description:

Maintenance Frequency:

The dataset is maintained on an annual basis, with updates incorporated as new data becomes available from the USDA Forest Inventory and Analysis (FIA) program.

Update Scope:

The updates include the addition of new inventory data, corrections to existing data, and improvements to data quality. The dataset is reviewed and updated to ensure accuracy and relevance for ongoing research and analysis.

Responsible Party:

The primary responsibility for maintaining the dataset lies with the data custodian or the research team. Specific contact details are provided for inquiries and further information regarding dataset updates and maintenance.

Maintenance Contact Information:

Name: Olufemi Fatunsin

Affiliation: University of Alabama

Email: oefatunsin@crimson.ua.edu

Frequency:

asNeeded

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unitList')
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'megagramPerHectare'
        |     |     |     |  \___attribute 'name' = 'megagramPerHectare'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'tree aboveground carbon per hectare'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'meterSquaredPerAcre'
        |     |     |     |  \___attribute 'name' = 'meterSquaredPerAcre'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'plot basal area'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2024.09.18'
        |     |___text '\n      '
        |___text '\n   '

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

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Data Package Metadata View Summary

Factors Influencing Aboveground Carbon Storage in Mixed Oak-Pine Forests: USDA FIA Data from Southeastern U.S. (2009-2019)

Data Entities

Data Table

Non-Categorized Data Resource

Data Package Usage Rights

Keywords

Methods and Protocols

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

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Parent Project Information:

Maintenance

Additional Metadata

Additional Metadata

Recently Added

Recently Updated

Data Package Metadata View Summary

Factors Influencing Aboveground Carbon Storage in Mixed Oak-Pine Forests: USDA FIA Data from Southeastern U.S. (2009-2019)

+/- Data Entities

Data Table

Non-Categorized Data Resource

+/- Data Package Usage Rights

+/- Keywords

+/- Methods and Protocols

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

+/- People and Organizations

+/- Temporal, Geographic and Taxonomic Coverage

+/- Project

Parent Project Information:

+/- Maintenance

+/- Additional Metadata

+/- Additional Metadata

Data Entities

Data Package Usage Rights

Keywords

Methods and Protocols

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Maintenance

Additional Metadata

Additional Metadata