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Analysis of aboveground biomass in longleaf pine forests in southeast United States, 2015 to 2019

General Information
Data Package:
Local Identifier:edi.1740.1
Title:Analysis of aboveground biomass in longleaf pine forests in southeast United States, 2015 to 2019
Alternate Identifier:DOI PLACE HOLDER
Abstract:

I obtained inventory data from the USDA Forest Inventory and Analysis (FIA) program, covering 1999 to 2022, focusing on eight southeastern states in the U.S. (Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, and Louisiana). For this study, I filtered the data for 2015-2019, during which the FIA captures 20% of plots in each state annually. Using R, I converted aboveground biomass (AGB) from pounds to kg/ha, tree height from feet to meters, and diameter at breast height (DBH) from inches to centimeters to align with the metric system. Structural diversity of tree height and diameter was calculated using the Shannon diversity index based on tree height and diameter classes. Climate data from PRISM and soil carbon to nitrogen data from the World Soil Database were integrated with the FIA data using the nearest neighbors method in the SF package in R. The combined dataset was standardized for Structural Equation Modeling (SEM) analysis.

Publication Date:2024-08-02
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2015
End:
2019

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

Data Entities
Data Table Name:
sem_data
Description:
Final data used for Structural Equation Modeling of factors influencing Aboveground biomass in longleaf Pine forests in the southeast United States
Other Name:
Stand attributes_LLP
Description:
R Scripts for subsetting FIA data and merging soil data
Other Name:
plot_visualization_for_manuscript
Description:
R Script for plot visualizations
Other Name:
SEM model_2
Description:
R Script for Structural Equation Model Analysis
Detailed Metadata

Data Entities

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1740/1/271091866a987a3125bcc1ecef52cb68
Name:sem_data
Description:Final data used for Structural Equation Modeling of factors influencing Aboveground biomass in longleaf Pine forests in the southeast United States
Number of Records:512
Number of Columns:26

Table Structure
Object Name:sem_data.csv
Size:123444 byte
Authentication:d328d285a591afcea4abcbbff7bbf9ee 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
 LONLATELEVSLOPESOIL_CNBA_hectarestems_hectareshannon_spshannon_dbhRshannon_htRTOTAL_AGB_haBAIMAITemp_1519PPT_1519sqrtAGBstdELEVstdSLOPEstdSOIL_CNstdTEMPstdPPTstdDBHstdHTstdSPPstdAGBOWNGRPCD
Column Name:LON  
LAT  
ELEV  
SLOPE  
SOIL_CN  
BA_hectare  
stems_hectare  
shannon_sp  
shannon_dbhR  
shannon_htR  
TOTAL_AGB_ha  
BAI  
MAI  
Temp_1519  
PPT_1519  
sqrtAGB  
stdELEV  
stdSLOPE  
stdSOIL_CN  
stdTEMP  
stdPPT  
stdDBH  
stdHT  
stdSPP  
stdAGB  
OWNGRPCD  
Definition:longitudeLatitudeElevationSlopeSoil carbon to nitrogen ratiobasal area per hectaretrees per hectareShannon diversity index for tree speciesShannon diversity index for tree diameter at breast heightShannon diversity index for tree heighttotal dry aboveground biomassBasal Area IncrementMean Annual Incrementmean annual temperature from 2015 to 2019total annual precipitation from 2015 to 2019Square-root of Aboveground biomassStandardized value of elevationStandardized value of slopeStandardized value of Soil Carbon to Nitrogen Ratio (Soil fertility)Standardized value of TemperatureStandardized value of PrecipitationStandardized value for Shannon diversity index for tree diameter at breast heightStandardized value for Shannon diversity index for tree heightStandardized value for Shannon diversity index for tree speciesStandardized value for square-root of aboveground biomassPlot locations by ownership
Storage Type:float  
float  
float  
integer  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
string  
Measurement Type:ratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratiorationominal
Measurement Values Domain:
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitmeter
Typereal
Unitpercent
Typeinteger
Unitdimensionless
Typereal
UnitmeterSquaredPerHectare
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
UnitkilogramPerHectare
Typereal
UnitkilogramPerHectarePerYear
Typereal
UnitkilogramPerHectarePerYear
Typereal
Unitcelsius
Typereal
Unitmillimeter
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code10
DefinitionUSDA Forest Inventory plots on forest service land
Source
Code Definition
Code20
DefinitionUSDA Forest Inventory plots on other federal land
Source
Code Definition
Code30
DefinitionUSDA Forest Inventory plots on state and local government land
Source
Code Definition
Code40
DefinitionUSDA Forest Inventory plots on private land
Source
Missing Value Code:                                                    
Accuracy Report:                                                    
Accuracy Assessment:                                                    
Coverage:                                                    
Methods:                                                    

Non-Categorized Data Resource

Name:Stand attributes_LLP
Entity Type:.R
Description:R Scripts for subsetting FIA data and merging soil data
Physical Structure Description:
Object Name:Stand attributes_LLP.R
Size:12056 byte
Authentication:5dcdc8e4f078832a2db471ab670bb9bb Calculated By MD5
Externally Defined Format:
Format Name:.R
Data:https://pasta-s.lternet.edu/package/data/eml/edi/1740/1/f36ddb9f296b62808554b562c11ae984

Non-Categorized Data Resource

Name:plot_visualization_for_manuscript
Entity Type:.R
Description:R Script for plot visualizations
Physical Structure Description:
Object Name:plot_visualization_for_manuscript.R
Size:4700 byte
Authentication:531a81b613c2f4ea4b14ef3b351cf3ec Calculated By MD5
Externally Defined Format:
Format Name:.R
Data:https://pasta-s.lternet.edu/package/data/eml/edi/1740/1/8318c25f34f36f360aa83649d025d4e2

Non-Categorized Data Resource

Name:SEM model_2
Entity Type:.R
Description:R Script for Structural Equation Model Analysis
Physical Structure Description:
Object Name:SEM model_2.R
Size:28983 byte
Authentication:00f4da3ff16720dd7c421a41408ac368 Calculated By MD5
Externally Defined Format:
Format Name:.R
Data:https://pasta-s.lternet.edu/package/data/eml/edi/1740/1/269ad02ad8553b7b9de854faabb17d53

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)USDA Forest Inventory and Analysis (FIA), Southeastern United States, Diameter at breast height (DBH), Structural diversity
LTER Controlled Vocabularyaboveground biomass

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:

Methods

Data Collection and Filtering

The current inventory data was sourced from the USDA Forest Inventory and Analysis (FIA) program, spanning from 1999 to 2022. For the purpose of this study, data from the years 2015 to 2019 were selected, as the FIA captures 20% of the plots in each state annually. This study focused on eight states in the southeastern United States: Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, and Louisiana.

Data Processing

Using R, the following data transformations were performed:

Aboveground Biomass (AGB): Converted from pounds to kilograms per hectare (kg/ha).

Tree Height: Converted from feet to meters.

Diameter at Breast Height (DBH): Converted from inches to centimeters.

Structural Diversity Calculation

The structural diversity of tree height and diameter was calculated using Shannon diversity index. Tree height and diameter classes were defined as follows:

Tree Height Classes

Diameter Classes: 5 cm for smaller trees and 10 cm for larger trees.

Climate and Soil Data Integration

Climate Data: Climate data from PRISM was joined with the FIA data using longitude and latitude coordinates through the nearest neighbors method in the SF package in R.

Soil Data: Soil carbon to nitrogen data from the World Soil Database was integrated similarly using geographical coordinates.

Data Standardization

The combined dataset, including structural diversity indices, climate data, and soil data, was standardized for subsequent Structural Equation Modeling (SEM) analysis.

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

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 Ebenezer 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:
2015
End:
2019
Geographic Region:
Description:The dataset encompasses forest inventory and analysis data collected from eight states in the Southeastern United States: Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, and Louisiana. This region includes diverse forest ecosystems ranging from coastal plains to upland forests.
Bounding Coordinates:
Northern:  36.5881Southern:  24.3963
Western:  -106.6456Eastern:  -75.4606

Project

Parent Project Information:

Title:Analysis of biotic and abiotic factors influencing Forest Biomass longleaf pine forests in Southeastern United States Using FIA Data
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 investigated the relationships between climate, topography, soil fertility, species diversity, structural diversity, and aboveground biomass in longleaf pine forests in the Southeastern United States. Utilizing Forest Inventory and Analysis (FIA) data from 2015 to 2019, the study encompasses eight states: Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, and Louisiana. The data were filtered and processed using R software, including conversions to the metric system and standardization for Structural Equation Modeling (SEM) analysis.

Climate data from the PRISM Climate Group and soil carbon to nitrogen ratios from the World Soil Database were integrated with the FIA data using geospatial methods. The analysis employed Shannon diversity indices to quantify structural diversity of tree height and diameter. This project aims to elucidate the direct and indirect effects of climatic variables and topography on forest biomass, thereby providing insights into forest management practices that integrate structural diversity to enhance forest resilience and productivity.

The expected outcomes include a deeper understanding of the interplay between species diversity and structural diversity, the role of climate and topography in influencing forest structure and biomass, and recommendations for forest management practices in the Southeastern United States.

Maintenance

Maintenance:
Description:

The dataset is reviewed and updated annually. Major updates occur when new inventory data is released by the USDA FIA program, typically every 1-2 years. Interim updates may occur to address any identified issues or to incorporate new data sources.

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

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