Dataset: Long term Seagrass Cover Monitoring

Name: Seagrass percent cover data from long-term monitoring of 20 selected sites sampled through the Texas Seagrass Monitoring program from August 2011 to September 2018.
Published: 2020-05-29
Keywords: seagrass, hurricane, benthic cover, disturbance, oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.813480.1

Spatial Extent: N:27.944 E:-97.0823 S:27.85421 W:-97.152246

Temporal Extent: 2011-08-02 - 2018-09-24

Project:

RAPID: Degradation and Resilience of Seagrass Ecosystem Structure and Function following a Direct Impact by Hurricane Harvey (Harvey Seagrass)

Principal Investigator:

Lauren Yeager (University of Texas - Marine Science Institute, UTMSI)

Co-Principal Investigator:

Kenneth Dunton (University of Texas - Marine Science Institute, UTMSI)

Contact:

Lauren Yeager (University of Texas - Marine Science Institute, UTMSI)

BCO-DMO Data Manager:

Karen Soenen (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2020-05-29

Restricted:

Validated:

Yes

Current State:

Final no updates expected

Seagrass percent cover data from long-term monitoring of 20 selected sites sampled through the Texas Seagrass Monitoring program from August 2011 to September 2018.

Abstract:

Seagrass percent cover data from long-term monitoring of 20 selected sites sampled through the Texas Seagrass Monitoring program from August 2011 to September 2018.

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Archival Copy

Version Date	Archive	Persistent Identifier (PID)	Date PID Issued
2020-05-29	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.813480.1	2020-09-21

Description

Seagrass percent cover data from long-term monitoring of 20 selected sites sampled through the Texas Seagrass Monitoring program from August 2011 to September 2018.

Methods & Sampling

Species composition and areal coverage were obtained from two replicate quadrat samples per station at two cardinal locations from the vessel boat (starboard-bow and starboard-stern). Percent cover of areal biomass was estimated by direct observation, looking down at the seagrass canopy through the water using a 0.25 m2 quadrat framer subdivided into 100 cells.

Additionally, we include percent cover data from long-term monitoring (2011-2018) of 20 selected sites sampled through the Texas Seagrass Monitoring program. Survey methods are described in Congdon et al. 2019.

Data Processing Description

BCO-DMO processing notes:

Adusted column headers to comply with database requirements
Added ISO_Data_Local field

Data Files

File
seagrass_pct_cover.csv (Comma Separated Values (.csv), 9.66 KB) MD5:9a1c9f4428a032e3d946e897e820f50d Primary data file for dataset ID 813480

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1807143

Deployments

None available yet

Instruments

None available yet

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
Site_ID	Site name	unitless	date
Latitude	Latitude, south is negative	unitless	lat
Longitude	Longitude, west is negative	unitless	lon
Month	Month surveyed	unitless	month
Day	Day surveyed	unitless	day
Year	Year surveyed	unitless	year
PCovHalodule	Percent cover of Halodule wrightii	percentage (%)	percent_cover
PCovThalassia	Percent cover of Thalassia testudinum	percentage (%)	percent_cover
PCovSyringodium	Percent cover of Syringodium filiforme	percentage (%)	percent_cover
PCovHalophila	Percent cover of Halophila spp.	percentage (%)	percent_cover
PCovRuppia	Percent cover of Ruppia marina	percentage (%)	percent_cover
PCovAllGrass	Percent cover of all seagrass	percentage (%)	percent_cover
PCovBare	Percent cover of bare substrate	percentage (%)	percent_cover
ISO_Date_Local	Date in ISO format YYYY/mm/dd in US central Time.	unitless	date

Status message

Database

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Dataset: Long term Seagrass Cover Monitoring