http://lod.bco-dmo.org/id/dataset/828794
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
2020-11-13
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Gill Net Catch Data in Bays along Texas Coast from 1986 to 2018
2020-12-07
publication
2020-12-07
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-12-18
publication
https://doi.org/10.26008/1912/bco-dmo.828794.1
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. (2020) Gill Net Catch Data in Bays along Texas Coast from 1986 to 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-12-07 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.828794.1 [access date]
Methods and Sampling: <p>Data consist of samples collected from Sabine Lake, Galveston Bay, Matagorda Bay, San Antonio Bay, Aransas Bay, Corpus Christi Bay, Upper Laguna Madre, and Lower Laguna Madre. Sampling was conducted twice each year during a spring sampling season (April - June) and a fall sampling season (September-November). A total of 45 gillnet samples were collected for each bay in all sampling seasons.</p>
<p>The gillnets used in sampling consisted of four equal length (45.7 m) panels of differing mesh sizes (76 mm, 102 mm, 127 mm, and 152 mm).</p>
<p>Each sampling area was divided into a one-minute latitude by a one-minute longitude sample grid, with each grid square divided into 144 gridlets of five-second latitude by five-second longitude. Sampling was conducted following a stratified cluster sampling protocol, whereby grid locations were randomly selected without replacement from the predefined sample grid within each bay, and locations within each grid randomly selected for net placement. Nets were set perpendicular to the shoreline, with the smallest mesh size nearest to the shore, and allowed to soak from&nbsp; sunset to sunrise for an average of 13.5 hours Organisms greater than 5 mm in total length were identified to the lowest taxonomic level.&nbsp;</p>
<p>Further details of sampling protocols are described in the Marine Resource Monitoring Operations Manual.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1656923 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=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
Sample_ID
Temperature
Salinity
Dissolved_Oxygen
Turbidity
Latitude
Longitude
Catch
Species_Code
Species_Common_Name
Species_Latin_Name
Latitude_convert
Longitude_convert
Gillnet
theme
None, User defined
Site_ID
year
month of year
station
water temperature at measurement depth
salinity
dissolved Oxygen
turbidity
latitude
longitude
count
taxon_code
common_name
species scientific name (binomial)
featureType
BCO-DMO Standard Parameters
Gillnet
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://osprey.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
oceans
-97.73778
-93.75361
26.0153
30.0542
1982-01-01
2019-12-31
coastal bays, Texas
0
BCO-DMO catalogue of parameters from Gill Net Catch Data in Bays along Texas Coast from 1986 to 2018
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/833194.rdf
Name: Major_Area
Units: unitless
Description: <p>ID for bays</p>
http://lod.bco-dmo.org/id/dataset-parameter/833195.rdf
Name: Year
Units: unitless
Description: <p>Year</p>
http://lod.bco-dmo.org/id/dataset-parameter/833196.rdf
Name: Month
Units: unitless
Description: <p>Month</p>
http://lod.bco-dmo.org/id/dataset-parameter/833197.rdf
Name: Sample_ID
Units: unitless
Description: <p>Station ID</p>
http://lod.bco-dmo.org/id/dataset-parameter/833198.rdf
Name: Temperature
Units: degrees Celcius (°C)
Description: <p>Temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/833199.rdf
Name: Salinity
Units: PPT
Description: <p>Salinity</p>
http://lod.bco-dmo.org/id/dataset-parameter/833200.rdf
Name: Dissolved_Oxygen
Units: parts per million (PPM)
Description: <p>Dissolved Oxygen</p>
http://lod.bco-dmo.org/id/dataset-parameter/833201.rdf
Name: Turbidity
Units: NTU
Description: <p>Turbidity</p>
http://lod.bco-dmo.org/id/dataset-parameter/833202.rdf
Name: Latitude
Units: degrees-minutes-seconds
Description: <p>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.</p>
http://lod.bco-dmo.org/id/dataset-parameter/833203.rdf
Name: Longitude
Units: degrees-minutes-seconds
Description: <p>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).</p>
http://lod.bco-dmo.org/id/dataset-parameter/833204.rdf
Name: Catch
Units: unitless
Description: <p>Number of individuals caught</p>
http://lod.bco-dmo.org/id/dataset-parameter/833205.rdf
Name: Species_Code
Units: unitless
Description: <p>Species Code</p>
http://lod.bco-dmo.org/id/dataset-parameter/833206.rdf
Name: Species_Common_Name
Units: unitless
Description: <p>Scientific name, Latin</p>
http://lod.bco-dmo.org/id/dataset-parameter/833207.rdf
Name: Species_Latin_Name
Units: unitless
Description: <p>Common name, English</p>
http://lod.bco-dmo.org/id/dataset-parameter/833625.rdf
Name: Latitude_convert
Units: decimal degrees
Description: <p>Latitude, south is negative</p>
<p> <br />
</p>
http://lod.bco-dmo.org/id/dataset-parameter/833627.rdf
Name: Longitude_convert
Units: decimal degrees
Description: <p>Longitude, west is negative</p>
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
26059569
https://darchive.mblwhoilibrary.org/bitstream/1912/26483/1/dataset-828794_gill-net-catch-data__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.828794.1
download
onLine
dataset
<p>Data consist of samples collected from Sabine Lake, Galveston Bay, Matagorda Bay, San Antonio Bay, Aransas Bay, Corpus Christi Bay, Upper Laguna Madre, and Lower Laguna Madre. Sampling was conducted twice each year during a spring sampling season (April - June) and a fall sampling season (September-November). A total of 45 gillnet samples were collected for each bay in all sampling seasons.</p>
<p>The gillnets used in sampling consisted of four equal length (45.7 m) panels of differing mesh sizes (76 mm, 102 mm, 127 mm, and 152 mm).</p>
<p>Each sampling area was divided into a one-minute latitude by a one-minute longitude sample grid, with each grid square divided into 144 gridlets of five-second latitude by five-second longitude. Sampling was conducted following a stratified cluster sampling protocol, whereby grid locations were randomly selected without replacement from the predefined sample grid within each bay, and locations within each grid randomly selected for net placement. Nets were set perpendicular to the shoreline, with the smallest mesh size nearest to the shore, and allowed to soak from&nbsp; sunset to sunrise for an average of 13.5 hours Organisms greater than 5 mm in total length were identified to the lowest taxonomic level.&nbsp;</p>
<p>Further details of sampling protocols are described in the Marine Resource Monitoring Operations Manual.</p>
Specified by the Principal Investigator(s)
<p>Organisms greater than 5 mm in total length were identified to the lowest taxonomic level. Further details of sampling protocols are described in the Marine Resource Monitoring Operations Manual.</p>
<p>BCO-DMO Processing notes:</p>
<ul>
<li>Joined the gill net data to the species code list based on species_code field</li>
<li>Adjusted column names to comply with database requiremets (added underscores &amp; changed capitals)</li>
<li>Changed , to ; in common and latin name columns</li>
<li>Added latitude and longitude in decimal degrees, rounded to 4 and 5 digits respectively</li>
</ul>
<p>&nbsp;</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
Gillnet
Gillnet
PI Supplied Instrument Name: Gillnet PI Supplied Instrument Description:The gillnets used in sampling consisted of four equal length (45.7 m) panels of differing mesh sizes (76 mm, 102 mm, 127 mm, and 152 mm). Instrument Name: Gillnet Instrument Short Name:Gillnet Instrument Description: Gillnetting uses curtains of netting that are suspended by a system of floats and weights; they can be anchored to the sea floor or allowed to float at the surface. A gillnet catches fish by their gills because the twine of the netting is very thin, and either the fish does not see the net or the net is set so that it traps the fish. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/65/