http://lod.bco-dmo.org/id/dataset/773137
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2019-07-15
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Bag Seine Catch Data in Bays along the Texas Coast from 1982 to 2016
2019-07-15
publication
2019-07-15
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-09-23
publication
https://doi.org/10.1575/1912/bco-dmo.773137.1
Masami Fujiwara
Texas A&M University
principalInvestigator
Fernando Martinez-Andrade
Texas Parks and Wildlife Department
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Fujiwara, M., Martinez-Andrade, F. (2019) Bag Seine Catch Data in Bays along the Texas Coast from 1982 to 2016. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-07-15 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.773137.1 [access date]
Monthly bag seine catch data of vertebrates and invertebrates from bays along the Texas coast from 1982 to 2016 Dataset Description: <p>Vertebrates and invertebrates caught with bag seine in Sabine Lake, Galveston Bay, Matagorda Bay, San Antonio Bay, Aransas Bay, Corpus Christi Bay, Upper Laguna Madre, and Lower Laguna Madre. Data were collected monthly from 1982 to 2016 (except in Sabine Lake sampling begun in 1986).&nbsp;</p> Methods and Sampling: <p>The data were sampled in Sabine Lake, Galveston Bay, Matagorda Bay, San Antonio Bay, Aransas Bay, Corpus Christi Bay, the upper Laguna Madre, and the lower Laguna Madre from January 1982 to December 2016 (except in Sabine Lake, where sampling begun in January 1986). The surveys were conducted bi-weekly using bag seines (18.3 m long and 1.8 m deep with 19 mm stretched nylon mesh in wings and 13 mm stretched mesh in the bag), which were deployed along the shoreline. Bag seines were deployed multiple times during the first and second halves of the month in every bay system. The location of each sample was determined by randomly selecting one station from a predefined sampling universe and, once in the field, selecting a section of available shoreline within that station. At the selected sampling location, the bag seine was extended 12.2 m perpendicularly to the shoreline, then pulled parallel to the shoreline over 15.5 m. The offshore end was then retrieved to shore while keeping the onshore end stationary and maintaining the full extent (12.2 m) of the bag seine using a limit line. Organisms greater than 5 mm in total length were identified to the lowest taxonomic level.&nbsp; Further details of sampling protocols are described in the <a href="http://datadocs.bco-dmo.org/docs/Texas_Coastal_Fish/data_docs/CF-Mar-Res-Mon-Ops-Manual-2015.pdf" target="_blank">Marine Resource Monitoring Operations Manual</a>&nbsp;(PDF).&nbsp;</p>
<p>Note:&nbsp;All station_id numbers&nbsp;are included at least once in this dataset (e.g.&nbsp;some organisms were observed at every station/sampling event).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1656923 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1656923
completed
Masami Fujiwara
Texas A&M University
979-845-9841
TAMU 2258 Department of Wildlife and Fisheries Sciences
College Station
TX
77843-2258
US
fujiwara@tamu.edu
pointOfContact
Fernando Martinez-Andrade
Texas Parks and Wildlife Department
361-825-3028
NRC Building, Suite 2500 6300 Ocean Dr., Unit 5845
Corpus Christi
TX
78412-5845
USA
Fernando.Martinez-Andrade@tpwd.texas.gov
pointOfContact
asNeeded
Dataset Version: 1
Unknown
major_area
Year
Month
station_id
catch
species_code
Species_common_name
Species_latin_name
Diss_Oxygen
Salinity
Temperature
Turbidity
Latitude
Longitude
Bag seine
theme
None, User defined
Site_ID
year
month of year
station
count
taxon_code
common_name
species
dissolved Oxygen
salinity
water temperature
turbidity
latitude
longitude
featureType
BCO-DMO Standard Parameters
Seine Net
instrument
BCO-DMO Standard Instruments
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Effects of physical environmental conditions on the species distribution and composition of marine fish and invertebrates along the Texas coast
https://www.bco-dmo.org/project/704689
Effects of physical environmental conditions on the species distribution and composition of marine fish and invertebrates along the Texas coast
<p><em>NSF Award Abstract:</em><br />
Understanding how changes in environmental conditions affect biota in the oceans is critically important for maintaining biodiversity and sustainable fisheries and projecting potential responses to future climate scenarios. The aims of this project are to determine how the distribution of fish and invertebrates has changed over time along the Texas coast and to assess the extent to which these changes are attributable to changes in local environmental conditions, such as sea surface temperature, coastal sea level, salinity, turbidity, and river discharge rate. Studies of biological systems in the Gulf of Mexico are lacking compared to coastal research in the Atlantic and Pacific oceans. Addressing these regional knowledge gaps is crucial because the Gulf of Mexico supports a wide diversity of temperate and tropical species that are ecologically and economically important. Poleward shifts in species distributions associated with increasing sea surface temperature have been observed along the Atlantic and Pacific coasts. In contrast, the northern edge of the Gulf of Mexico is bound by land that places biogeographic constraints on the potential responses of coastal organisms to changing environmental conditions. This project will use advanced statistical methods to analyze long-term species composition data for the northwestern Gulf of Mexico and characterize past relationships of species composition and local environmental conditions. These findings will help guide the development of predictive models to assess potential biological responses to projected environmental conditions. Research results will be shared with local and state resource agencies responsible for managing coastal fisheries. As an integral part of this project, a three-level (faculty-graduate-undergraduate) mentoring system will be established to promote diversity in science through undergraduate and graduate training. Undergraduate students will be recruited through the Texas A&M University Chapter of the Society for Advancement of Chicano and Native Americans in Science (SACNAS), for which the principal investigator is currently a faculty advisor. Both graduate and undergraduate students will work as a team on the project and develop quantitative data analysis and other general scientific skills. Finally, the research program will be used as a case study for establishing mentoring systems for promoting diversity in science.</p>
<p>The availability of long-term species composition data provides a unique opportunity to substantially improve knowledge toward understanding the effects of climate change on marine organisms in a low latitude system. This project will examine species composition data for eight bays distributed over approximately 650 km of the Texas coast; comprehensive data of this type are uncommon elsewhere. The biological data have been collected over 35-40 years as part of a long-term monitoring program and includes information on more than 1000 species of fish and invertebrates. This unique dataset will be analyzed using modern statistical approaches, including occupancy data analysis, co-integration method, and state-space vector autoregressive modeling. These methods overcome common difficulties in statistical analyses, including datasets having multi-collinearity among independent variables and those involving non-stationarity. Based on the results of the statistical analyses, models enabling the prediction of species composition under projected local environmental conditions will be developed. As part of this project, undergraduate and graduate students will acquire expertise in contemporary analytical methods, research findings will be broadly shared with both the academic and resource management communities, and computational code will be made publically available. This project will provide better understanding of the effects of environmental conditions on fish and invertebrate distribution and will provide valuable information for improved fishery management and conservation efforts under changing environmental conditions.</p>
Texas Coastal Fish
largerWorkCitation
project
eng; USA
biota
oceans
-97.74444
-93.71972
26.01667
30.05556
1982-01-01
2016-12-31
coastal bays, Texas
0
BCO-DMO catalogue of parameters from Bag Seine Catch Data in Bays along the Texas Coast from 1982 to 2016
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/775799.rdf
Name: major_area
Units: unitless
Description: ID number for bays
http://lod.bco-dmo.org/id/dataset-parameter/775800.rdf
Name: Year
Units: unitless
Description: 4-digit year
http://lod.bco-dmo.org/id/dataset-parameter/775801.rdf
Name: Month
Units: unitless
Description: 1- or 2-digit month
http://lod.bco-dmo.org/id/dataset-parameter/775802.rdf
Name: station_id
Units: unitless
Description: Station ID number (from the bag seine data file)
http://lod.bco-dmo.org/id/dataset-parameter/775803.rdf
Name: catch
Units: unitless
Description: Number of individuals caught
http://lod.bco-dmo.org/id/dataset-parameter/775804.rdf
Name: species_code
Units: unitless
Description: Species code
http://lod.bco-dmo.org/id/dataset-parameter/775805.rdf
Name: Species_common_name
Units: unitless
Description: Common name of species
http://lod.bco-dmo.org/id/dataset-parameter/775806.rdf
Name: Species_latin_name
Units: unitless
Description: Latin name of species
http://lod.bco-dmo.org/id/dataset-parameter/775808.rdf
Name: Diss_Oxygen
Units: parts per million (PPM)
Description: Dissolved oxygen
http://lod.bco-dmo.org/id/dataset-parameter/775809.rdf
Name: Salinity
Units: PPT
Description: Salinity
http://lod.bco-dmo.org/id/dataset-parameter/775810.rdf
Name: Temperature
Units: degrees Celsius
Description: Temperature
http://lod.bco-dmo.org/id/dataset-parameter/775811.rdf
Name: Turbidity
Units: NTU
Description: Turbidity
http://lod.bco-dmo.org/id/dataset-parameter/775812.rdf
Name: Latitude
Units: degrees-minutes-seconds
Description: Latitude North. Formatted as degree-minutes-seconds without hyphens or separators. This is described in the manual and provided in this format to be consistent with other TPWD data.
http://lod.bco-dmo.org/id/dataset-parameter/775813.rdf
Name: Longitude
Units: degrees-minutes-seconds
Description: Longitude West. Formatted as degree-minutes-seconds without hyphens or separators. This is described in the manual and provided in this format to be consistent with other TPWD data. When converting to decimal degrees, add a minus sign to indicate the west direction).
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
34574675
https://darchive.mblwhoilibrary.org/bitstream/1912/24582/1/dataset-773137_bag-seine-catch-data__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.773137.1
download
onLine
dataset
<p>The data were sampled in Sabine Lake, Galveston Bay, Matagorda Bay, San Antonio Bay, Aransas Bay, Corpus Christi Bay, the upper Laguna Madre, and the lower Laguna Madre from January 1982 to December 2016 (except in Sabine Lake, where sampling begun in January 1986). The surveys were conducted bi-weekly using bag seines (18.3 m long and 1.8 m deep with 19 mm stretched nylon mesh in wings and 13 mm stretched mesh in the bag), which were deployed along the shoreline. Bag seines were deployed multiple times during the first and second halves of the month in every bay system. The location of each sample was determined by randomly selecting one station from a predefined sampling universe and, once in the field, selecting a section of available shoreline within that station. At the selected sampling location, the bag seine was extended 12.2 m perpendicularly to the shoreline, then pulled parallel to the shoreline over 15.5 m. The offshore end was then retrieved to shore while keeping the onshore end stationary and maintaining the full extent (12.2 m) of the bag seine using a limit line. Organisms greater than 5 mm in total length were identified to the lowest taxonomic level.&nbsp; Further details of sampling protocols are described in the <a href="http://datadocs.bco-dmo.org/docs/Texas_Coastal_Fish/data_docs/CF-Mar-Res-Mon-Ops-Manual-2015.pdf" target="_blank">Marine Resource Monitoring Operations Manual</a>&nbsp;(PDF).&nbsp;</p>
<p>Note:&nbsp;All station_id numbers&nbsp;are included at least once in this dataset (e.g.&nbsp;some organisms were observed at every station/sampling event).</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Processing:<br />
- concatenated 1986-200 data with 2001-2016 from the two separate spreadsheets in file "TPWD Bag seine 82-16.xlsx";<br />
- modified column names in species code list file, "TPWD Species Code.xlsx" (replaced spaces with underscores and removed parentheses);<br />
- joined the bag seine data to the species code list based on species_code field;<br />
-&nbsp;joined the bag seine data to the station&nbsp;list in file "TPWD Station Data 82-16.xlsx" based on the station_id (hydro_id) columns, retaining&nbsp;the Latitude and Longitude columns from the station file.</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Bag seine
Bag seine
PI Supplied Instrument Name: Bag seine PI Supplied Instrument Description:Data were collected using a bag seine: 18.3 m long and 1.8 m deep with 19 mm stretched nylon mesh in wings and 13 mm stretched mesh in the bag. Instrument Name: Seine Net Instrument Short Name: Instrument Description: A seine net is a very long net, with or without a bag in the centre, which is set either from the shore or from a boat for surrounding a certain area and is operated with two (long) ropes fixed to its ends (for hauling and herding the fish).
Seine nets are operated both in inland and in marine waters. The surrounded and catching area depends on the length of the seine and of the hauling lines.
(definition from: fao.org)