Dataset: Montagna-783256-BenthosSpecies

Name: San Antonio Bay benthos species abundance before and after Hurricane Harvey, Feb. 2017 - July 2019
Published: 2019-12-18
Keywords: San Antonio Bay, benthos, macrofauna, diversity, abundance, Invasive species, biota, oceans

Cite This Dataset

DOI:10.1575/1912/bco-dmo.784677.1

Spatial Extent: N:28.39352 E:-96.68435 S:28.24618 W:-96.7724

Temporal Extent: 2017-02-22 - 2019-07-09

Project:

RAPID: Capturing the Signature of Hurricane Harvey on Texas Coastal Lagoons (Hurricane Harvey Texas Lagoons)

Principal Investigator:

Paul A. Montagna (Texas A&M, Corpus Christi, TAMU-CC)

BCO-DMO Data Manager:

Nancy Copley (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2019-12-18

Restricted:

Validated:

Yes

Current State:

Final no updates expected

San Antonio Bay benthos species abundance before and after Hurricane Harvey, Feb. 2017 - July 2019

Abstract:

The effects of Hurricane Harvey were studied. This dataset includes abundance of identified benthic macrofauna from sediment core samples collected in San Antonio Bay, northwest Gulf of Mexico estuaries along the Texas coast. They were collected during eleven quarterly sampling trips on a small boat, Feb. 2017 - July 2019

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Archival Copy

Version Date	Archive	Persistent Identifier (PID)	Date PID Issued
2019-12-18	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.1575/1912/bco-dmo.784677.1	2019-12-26

Description

Methods & Sampling

Sediment samples were collected using cores deployed from small boats (Montagna and Kalke 1992). Macrofauna were sampled with a 6.7-cm diameter core tube (35.4 cm2 area). The cores were sectioned at 0-3 cm and 3-10 cm depths to ease the samples sorting and identification process for macrofauna but summed for whole core analyses here. Three replicates were taken per station. Organisms were extracted on a 0.5 mm sieve and enumerated to the lowest taxonomic level possible.

Data Processing Description

BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- renamed columns: DATE to date_local, REP to replicate, SP to species_code, n to count, and nm2 to abundance
- reordered columns

Data Files

File
benthic_species.csv (Comma Separated Values (.csv), 50.52 KB) MD5:f5f6863ff86656f2d82c200cec8a4956 Primary data file for dataset ID 784677

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1760006

Deployments

Deployment	Synonyms	Start Date	Platform	Investigator
TAMUCC-HRI		2019-02-22	small boat: TAMUCC	Paul A. Montagna (Chief Scientist)	data info

Instruments

Microscope - Optical

Supplied Name: Wild steromicroscope

Supplied Description:

Used to identify macrofauna.

Instrument Type

Generic Name: Microscope - Optical

Community Identifier: http://vocab.nerc.ac.uk/collection/L05/current/LAB05/

Generic Description:

Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope".

Push Corer

Supplied Name:

Supplied Description:

Used to collect sediment core samples.

Instrument Type

Generic Name: Push Corer

Generic Description:

Capable of being performed in numerous environments, push coring is just as it sounds. Push coring is simply pushing the core barrel (often an aluminum or polycarbonate tube) into the sediment by hand. A push core is useful in that it causes very little disturbance to the more delicate upper layers of a sub-aqueous sediment.

Description obtained from: http://web.whoi.edu/coastal-group/about/how-we-work/field-methods/coring/

Parameters

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

Supplied Name	Supplied description	Supplied Units	Standard Name
Sta	Station name	unitless	station
Latitude	Station latitude; north is positive	decimal degrees	lat
Longitude	Station longitude; east is positive	decimal degrees	lon
date_local	Date in Day-Month-Year format	unitless	date_local
replicate	Replicate number (1; 2; 3)	unitless	replicate
SpName	Taxonomic name	unitless	taxon
species_code	Species code	unitless	taxon_code
count	Count: number/core where the core area is 35.4 cm^2	number/core	count
abundance	Abundance	n/m²	abundance