Data Package Metadata View Summary

Data Source: Synergistic effects of precipitation and groundwater extraction on freshwater wetland inundation

General Information

Data Package:

Local Identifier:

edi.1371.3

Title:

Data Source: Synergistic effects of precipitation and groundwater extraction on freshwater wetland inundation

Alternate Identifier:

DOI PLACE HOLDER

Abstract:

Wetlands provide essential ecosystem services, including nutrient cycling, flood protection, and biodiversity support, that are sensitive to changes in wetland hydrology. Wetland hydrological inputs come from precipitation, groundwater discharge, and surface run-off. Changes to these inputs via climate variation, groundwater extraction, and land development may alter the timing and magnitude of wetland inundation. Data were compiled for 152 wetlands in west-central Florida over 14 years to investigate the response of wetland inundation to the interactive effects of precipitation, groundwater extraction, surrounding land development, basin geomorphology, and wetland vegetation class. Further methods are defined in the Methods section of the journal article associated with this dataset (Synergistic effects of precipitation and groundwater extraction on freshwater wetland inundation, published in the Journal of Environmental Management, 2023).

Publication Date:

2023-03-13

For more information:
Visit:	DOI PLACE HOLDER

Time Period

Begin:

2005

End:

2018

People and Organizations
Contact:	Balerna, Jessica Ashley (University of South Florida) [ email ]
Creator:	Balerna, Jessica Ashley (University of South Florida)
Associate:	Kramer, Andrew M (University of South Florida, Co-Author)
Associate:	Landry, Shawn M. (University of South Florida, Co-Author)
Associate:	Rains, Mark C (University of South Florida, Co-Author)
Associate:	Lewis, David B (University of South Florida, Co-Author)

Data Entities
Data Table Name:	Hydrological_predictors
Description:	Dataset used in the following peer-reviewed journal article: Title: Synergistic effects of precipitation and groundwater extraction on freshwater wetland inundation Authors: Jessica A Balerna, Andrew M Kramer, Shawn M Landry, Mark C Rains, and David B Lewis Journal of Environmental Management

Detailed Metadata

Data Entities

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/edi/1371/3/66e5eb917e169fa2dc171657850413a7
Name:	Hydrological_predictors
Description:	Dataset used in the following peer-reviewed journal article: Title: Synergistic effects of precipitation and groundwater extraction on freshwater wetland inundation Authors: Jessica A Balerna, Andrew M Kramer, Shawn M Landry, Mark C Rains, and David B Lewis Journal of Environmental Management
Number of Records:	2037
Number of Columns:	25

Table Structure

Object Name:

Hydrological_predictors.csv

Size:

270620 byte

Authentication:

fbaaad1d977b8dc4fa4c343769ddbdb2 Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Wetland_ID

Collection_Year

Year_Category

Wetland_Type

Wellfield

Wellfield_GW_m3

Wetland_GW_m3

NPO_m

WBO_m

Hydroperiod

Hydro_Cat_3

Wetland_Precip

Regional_Precip

LDI_100_m

LDI_200_m

LDI_500_m

LDI_100_m_Interp

LDI_200_m_Interp

LDI_500_m_Interp

ISC_100_m

ISC_200_m

ISC_500_m

Wetland_area_m2

Edge_to_Area

Shoreline_Complexity

Column Name:

Wetland_ID

Collection_Year

Year_Category

Wetland_Type

Wellfield

Wellfield_GW_m3

Wetland_GW_m3

NPO_m

WBO_m

Hydroperiod

Hydro_Cat_3

Wetland_Precip

Regional_Precip

LDI_100_m

LDI_200_m

LDI_500_m

LDI_100_m_Interp

LDI_200_m_Interp

LDI_500_m_Interp

ISC_100_m

ISC_200_m

ISC_500_m

Wetland_area_m2

Edge_to_Area

Shoreline_Complexity

Definition:

ID number provided by the Southwest Florida Water Management District to each wetland

Given year that data was collected, ranges from 2005 to 2018

For this paper, data was subset into two key time periods. Time period 1 is from 2005 to 2009. Time period 2 is from 2010 to 2018.

Wetland type was defined by the dominant vegetation for a given wetland. SWFWMD determined the wetland type and wetland type did not change over the study period.

Acronyms of wellfields operated by Tampa Bay Water

Average groundwater extracted in the wellfield that wetland is associated with during a given year

Wetland exposure to groundwater extraction as calculated using inverse distance weighting in ArcPro for a given year

Normal pool offset for a given year

Wetland bottom offset for a given year

Hydroperiod for a given year

Hydroperiod categories (short, medium, or long) as determined using the Jenks Natural Breaks algorithm on the Hydroperiod column.

Precipitation at the wetland-scale, provided by the Tampa Bay Water Atlas and compiled from a combination of Doppler weather radar images and SWFWMD precipitation measurements

Regional precipitation measurements compiled by SWFWMD for Hillsborough County

Land development intensity score calculated in a 100 m buffer around each wetland for a given year. Values were calculated from SWFWMD Land-Use Land Cover (LULC) maps. Values were repeated for years where no new LULC dataset was released. See Table S1 in manuscript.

Land development intensity score calculated in a 200 m buffer around each wetland for a given year. Values were calculated from SWFWMD Land-Use Land Cover (LULC) maps. Values were repeated for years where no new LULC dataset was released. See Table S1 in manuscript.

Land development intensity score calculated in a 500 m buffer around each wetland for a given year. Values were calculated from SWFWMD Land-Use Land Cover (LULC) maps. Values were repeated for years where no new LULC dataset was released. See Table S1 in manuscript.

Land development intensity score calculated in a 100 m buffer around each wetland for a given year. Values were calculated from SWFWMD Land-Use Land Cover (LULC) maps. Values were interpolated between years where no new LULC dataset was released.

Land development intensity score calculated in a 200 m buffer around each wetland for a given year. Values were calculated from SWFWMD Land-Use Land Cover (LULC) maps. Values were interpolated between years where no new LULC dataset was released.

Land development intensity score calculated in a 500 m buffer around each wetland for a given year. Values were calculated from SWFWMD Land-Use Land Cover (LULC) maps. Values were interpolated between years where no new LULC dataset was released.

Impervious surface coverage (ISC) calculated in a 100 m buffer around each wetland for a given year. Values were calculated from the Multi-Resolution Land Characteristics Consortium. Values were repeated for years where no new ISC dataset was released. See Table S1 in manuscript.

Impervious surface coverage (ISC) calculated in a 200 m buffer around each wetland for a given year. Values were calculated from the Multi-Resolution Land Characteristics Consortium. Values were repeated for years where no new ISC dataset was released. See Table S1 in manuscript.

Impervious surface coverage (ISC) calculated in a 500 m buffer around each wetland for a given year. Values were calculated from the Multi-Resolution Land Characteristics Consortium. Values were repeated for years where no new ISC dataset was released. See Table S1 in manuscript.

Wetland area as provided by SWFWMD

Edge-to-area ratio was calculated by dividing the shape length by the shape area, both provided by SWFWMD

Shoreline complexity (sometimes referred to as sinuosity) is the ratio between wetland shape length and the circumference of a circle of the same area as the wetland, where shape length and area was provided by SWFWMD

Storage Type:

string

float

string

float

Measurement Type:

nominal

ratio

nominal

ratio

Measurement Values Domain:

Definition

text

Definition

text

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	1
Definition	A row was given a 1 if the Collection_Year equaled 2005, 2006, 2007, 2008, or 2009
Source

Code Definition

Code	2
Definition	A row was given a 2 if the Collection_Year equaled 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, or 2018
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	Cypress
Definition	Forested wetland was dominated by Cypress trees (Taxodium spp.)
Source

Code Definition

Code	Cypress-Marsh
Definition	Blended wetlands that typically have cypress trees in the deeper center surrounded by herbaceous grasses
Source

Code Definition

Code	Hardwood
Definition	Forested wetland dominated by hardwood species such as water tupelo (Nyssa aquatica) and sweet gum (Liquidambar styraciflua)
Source

Code Definition

Code	Marsh
Definition	Herbaceous wetland dominated by various grasses and sedges including maidencane (Panicum hemitomon) and pickerelweed (Pontederia cordata)
Source

Code Definition

Code	Wet Prairie
Definition	Herbaceous wetland containing both aquatic and upland species including bluestems (Andropogon spp.) and carpetgrass (Axonopus spp.)
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	CBR
Definition	Cross Bar Ranch
Source

Code Definition

Code	CMO
Definition	Cosme-Odessa
Source

Code Definition

Code	CYB
Definition	Cypress Bridge
Source

Code Definition

Code	CYC
Definition	Cypress Creek
Source

Code Definition

Code	ELW
Definition	Eldridge-Wilde
Source

Code Definition

Code	GRS
Definition	Green Swamp - this is the reference site where no groundwater extraction occurred currently or historically
Source

Code Definition

Code	MBP
Definition	Morris Bridge Park/ Road
Source

Code Definition

Code	NOP
Definition	North Pasco
Source

Code Definition

Code	NWH
Definition	Northwest Hillsborough
Source

Code Definition

Code	S21
Definition	Section 21
Source

Code Definition

Code	SOP
Definition	South Pasco
Source

Code Definition

Code	STK
Definition	Starkey
Source

Unit	meterCubedPerDay
Type	real

Unit	meterCubedPerDay
Type	real

Unit	meter
Type	real

Unit	meter
Type	real

Unit	percent
Type	real

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	1
Definition	Short
Source

Code Definition

Code	2
Definition	Medium
Source

Code Definition

Code	3
Definition	Long
Source

Unit	millimeter
Type	real

Unit	millimeter
Type	real

Unit	Score
Type	real

Unit	Score
Type	real

Unit	Score
Type	real

Unit	Score
Type	real

Unit	Score
Type	real

Unit	Score
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	meterSquared
Type	integer

Unit	Ratio
Type	real

Unit	Ratio
Type	real

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)	Hydrology, Depressional wetlands, Geographically-isolated wetlands, Climate change, Drought, Cypress swamp

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 are defined in the Methods section of the journal article associated with this dataset (Synergistic effects of precipitation and groundwater extraction on freshwater wetland inundation, published in the Journal of Environmental Management, 2023)

Step 1: Compiling Hydrological response variables

Wetland water-level data were provided by TBW for 152 wetlands from composite time series of both monitoring wells and staff gauges. From the wetland water-level data, three hydrological response variables were calculated: normal pool offset (NPO), wetland bottom offset (WBO), and annual hydroperiod. Normal pool offset is the wetland water-level elevation minus the historic normal pool elevation and reflects the proximity of a wetland to overflowing its banks (Figure S1). Wetland bottom offset is the water depth above the wetland bottom elevation. Annual average NPO and WBO were computed across all water-level observations each year for each wetland from 2005–2018 and used in subsequent analyses. Annual hydroperiod was calculated for each wetland as the proportion of time each year in which wetland water-level elevation was greater than the wetland bottom elevation (i.e., in which the wetland basin contained surface water).

Description:

Step 2: Hydrological predictor variables

Groundwater extraction data were provided by TBW and consisted of annual groundwater extraction rates for 176 extraction wells dispersed across the study area and in use from 2005–2018. To compute exposure to groundwater extraction for each wetland of interest, a raster of extrapolated groundwater extraction rates for the study area was created. This was done via inverse distance weighting in ArcGIS PRO 2.6.1 (Esri Inc., Redlands, California, USA). Once the extrapolated groundwater extraction rasters were created for each year, they were mapped along with a wetland polygon shapefile provided by SWFWMD in ArcGIS Pro. An average exposure to groundwater extraction measurement for each wetland was then determined based on the area that intersected with a wetland polygon for each year from 2005–2018. An exposure to groundwater extraction value of 0 was assigned to all wetlands located in the reference site, the Green Swamp Wilderness Preserve.

Precipitation estimates are available for the Tampa Bay region as a geospatial layer from the Tampa Bay Water Atlas, which compiles these estimates into 2 x 2 km grid cells from a combination of Doppler weather radar images and precipitation measurements provided by SWFWMD. To estimate annual precipitation for each wetland of interest, both the precipitation estimates and a wetland polygon shapefile provided by SWFWMD were mapped in ArcGIS Pro. An average precipitation measurement was then determined based on the area and value of each 2 x 2 km cell that intersected with a wetland polygon for each year from 2005–2018.

Description:

Step 3: Land development predictor variables

Two indicators of land development were calculated in 100 m, 200 m, and 500 m buffers surrounding each wetland: landscape development intensity (LDI) and impervious surface coverage (ISC).

Landscape development intensity index (LDI) was calculated from the Florida Land-Use Land-Cover geospatial datasets hosted by SWFWMD and is an index of human disturbance.

Impervious surface coverage is available as a geospatial layer from the Multi-Resolution Land Characteristics Consortium.

Both LDI and ISC were updated for each wetland every time new layers were released by their respective sources.

Description:

Step 4: Geomorphological predictor variables

Area, shoreline complexity, and the edge-to-area ratio were calculated using a wetland polygon shapefile created and provided by SWFWMD. Area is provided as part of the attribute table, while shoreline complexity was calculated as the ratio between wetland shape length and the circumference of a circle of the same area as the wetland. The edge-to-area ratio was calculated by dividing the shape length by the shape area, both provided as part of the attribute table.

Description:

Step 5: Wetland vegetation class

Five vegetation classes of wetlands were considered in this study including cypress, marsh, cypress-marsh, hardwood, and wet prairie wetlands. Wetland vegetation classes reported in this study were determined by SWFWMD and do not vary over the temporal extent of this study.

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:

Dr. Jessica Ashley Balerna

Organization:

University of South Florida

Email Address:

jbalerna@usf.edu

Id:

https://orcid.org/0000-0002-7456-0559

Contacts:

Individual:

Dr. Jessica Ashley Balerna

Organization:

University of South Florida

Email Address:

jbalerna@usf.edu

Id:

https://orcid.org/0000-0002-7456-0559

Associated Parties:

Individual:

Dr Andrew M Kramer

Organization:

University of South Florida

Email Address:

amkramer@usf.edu

Id:

https://orcid.org/0000-0002-9031-6580

Role:

Co-Author

Individual:

Dr. Shawn M. Landry

Organization:

University of South Florida

Email Address:

landry@usf.edu

Id:

https://orcid.org/0000-0003-3281-2612

Role:

Co-Author

Individual:

Dr. Mark C Rains

Organization:

University of South Florida

Email Address:

mrains@usf.edu

Id:

https://orcid.org/0000-0002-8103-475X

Role:

Co-Author

Individual:

Dr. David B Lewis

Organization:

University of South Florida

Email Address:

davidlewis@usf.edu

Id:

https://orcid.org/0000-0002-8094-1577

Role:

Co-Author

Metadata Providers:

Individual:

Dr. Jessica Ashley Balerna

Organization:

University of South Florida

Email Address:

jbalerna@usf.edu

Id:

https://orcid.org/0000-0002-7456-0559

Temporal, Geographic and Taxonomic Coverage

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

Time Period

Begin:

2005

End:

2018

Geographic Region:

Description:

Tampa Bay Region of interest as shown in Figure 1 of the manuscript

Bounding Coordinates:

Northern:	28.5118633	Southern:	27.9089552
Western:	-82.7624686	Eastern:	-81.8865091

Project

Parent Project Information:

Title:

Synergistic effects of precipitation and groundwater extraction on freshwater wetland inundation

Personnel:

Individual:

Dr. Jessica Ashley Balerna

Organization:

University of South Florida

Email Address:

jbalerna@usf.edu

Id:

https://orcid.org/0000-0002-7456-0559

Role:

Corresponding Author

Additional Award Information:

Funder:	National Science Foundation
Number:	1930451
Title:	Graduate Student Scholarships to Advance Community Engaged Solutions to the Grand Challenge of Managing Nitrogen

Maintenance

Maintenance:

Description:	This dataset was used in analyses completed in a single publication. It is no longer being updated.
Frequency:	notPlanned

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'meterCubedPerDay'
        |     |     |     |  \___attribute 'name' = 'meterCubedPerDay'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Cubic meters per day'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Score'
        |     |     |     |  \___attribute 'name' = 'Score'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'LDI is a score calculated from LULC data'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Ratio'
        |     |     |     |  \___attribute 'name' = 'Ratio'
        |     |     |     |___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' = '2023.02.19'
        |     |___text '\n    '
        |___text '\n  '

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Data Package Metadata View Summary

Data Source: Synergistic effects of precipitation and groundwater extraction on freshwater wetland inundation

Data Entities

Data Table

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

Data Source: Synergistic effects of precipitation and groundwater extraction on freshwater wetland inundation

+/- Data Entities

Data Table

+/- 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