http://lod.bco-dmo.org/id/dataset/826200
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
2020-10-07
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Dissolved Inorganic Carbon measured in situ over depth in the kelp forest (36° 37.3’ N, 121° 54.1’ W) recorded in July 2018.
2020-10-07
publication
2020-10-07
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-10-16
publication
https://doi.org/10.26008/1912/bco-dmo.826200.1
Kerry J. Nickols
California State University Northridge
principalInvestigator
Robert B. Dunbar
Stanford University
principalInvestigator
Heidi Hirsh
Stanford University
principalInvestigator
Stephen G. Monismith
Stanford University
principalInvestigator
David Mucciarone
Stanford University
principalInvestigator
Yuichiro Takeshita
Monterey Bay Aquarium Research Institute
principalInvestigator
Sarah Traiger
United States Geological Survey
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: Hirsh, H., Nickols, K. J., Takeshita, Y., Traiger, S., Monismith, S. G., Mucciarone, D., Dunbar, R. B. (2020) Dissolved Inorganic Carbon measured in situ over depth in the kelp forest (36° 37.3’ N, 121° 54.1’ W) recorded in July 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-10-07 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.826200.1 [access date]
Dataset Description: <p>These data are published in Hirsh <em>et al., </em>see related publications section.</p> Methods and Sampling: <p>Continuous flow pumping experiments were conducted inside the kelp forest from a vessel within 15-m of the kelp mooring to obtain high temporal and vertical resolution biogeochemical data. Two experiments were conducted (July 11-13 and July 18-20, 2018) that overlapped with the kelp mooring pH timeseries data. Seawater was pumped from five depths spanning the water column using five sections of equal-length polypropylene tubing (3/8” ID, 1/2” OD) deployed over the side of a moored vessel. The depths presented here include the surface (valve #5), 6 mab (2-5 mbs, valve #3), and 1 mab (7-10 mbs, valve #1). A custom auto sampling manifold introduced water from each of the 5 tubes to a continuous flow system at 5-minute intervals, allowing the full suite of depths to be sampled every 25 minutes for the duration of each experiment (similar to Koweek et al., 2015a; Koweek et al., 2015b; Teneva et al., 2013). Seawater was drawn into the continuous flow system from each depth by a peristaltic pump operating at 2L/min.</p>
<p>Dissolved inorganic carbon (DIC) samples were automatically drawn every 5 minutes and analyzed using a custom-built sample acidification and delivery system coupled to a Li-COR 7000 infrared gas analyzer as described in Long et al. (2011). DIC was calibrated every hour using certified reference materials (CRM), Batch 169 (Dickson, 2010). Instrumental precision, based on 102 CRM analyses, was ± 5.7 μmol kg-1.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737096 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1737096
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737176 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1737176
completed
Kerry J. Nickols
California State University Northridge
(818) 677-6147
18111 Nordhoff St
Northridge
CA
91330-8303
US
kerry.nickols@csun.edu
pointOfContact
Robert B. Dunbar
Stanford University
(650) 725-6830
Department of Environmental Earth Systems Science (Braun Hall, bldg 320) Stanford University
Stanford
CA
94305-2115
USA
dunbar@stanford.edu
pointOfContact
Heidi Hirsh
Stanford University
253-514-2804
473 Via Ortega, Rm140
Standford
CA
94305
USA
pointOfContact
Stephen G. Monismith
Stanford University
650-723-4764
Y2E2 Rm 183 473 Via Ortega
Stanford
CA
94305-4020
USA
stephen@stanford.edu
pointOfContact
David Mucciarone
Stanford University
(650) 723-0817
473 Via Ortega
Stanford
CA
94305
USA
dam1@stanford.edu
pointOfContact
Yuichiro Takeshita
Monterey Bay Aquarium Research Institute
7700 Sandholdt Road
Moss Landing
CA
95039
USA
yui@mbari.org
pointOfContact
Sarah Traiger
United States Geological Survey
1910 Alex Holden Way
Juneau
AK
99801
USA
straiger@usgs.gov
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Timestamp_DIC
DIC_1mab
DIC_6mab
DIC_surface
ISO_DateTime_UTC
Li-COR 7000 infrared gas analyzer
theme
None, User defined
Date and time
dissolved inorganic Carbon
ISO_DateTime_UTC
featureType
BCO-DMO Standard Parameters
LI-COR LI-7000 Gas Analyzer
instrument
BCO-DMO Standard Instruments
KELP
service
Deployment Activity
Hopkins Marine Station, Monterey Bay, CA (Kelp Mooring: 36° 37.297’ N, 121° 54.102’ W)
place
Locations
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.
Collaborative Research: RUI: Building a mechanistic understanding of water column chemistry alteration by kelp forests: emerging contributions of foundation species
https://osprey.bco-dmo.org/project/748778
Collaborative Research: RUI: Building a mechanistic understanding of water column chemistry alteration by kelp forests: emerging contributions of foundation species
<p><em>NSF Award Abstract:</em><br />
Kelp forest ecosystems are of ecological and economic importance globally and provide habitat for a diversity of fish, invertebrates, and other algal species. In addition, they may also modify the chemistry of surrounding waters. Uptake of carbon dioxide (CO2) by giant kelp, Macrocystis pyrifera, may play a role in ameliorating the effects of increasing ocean acidity on nearshore marine communities driven by rising atmospheric CO2. Predicting the capacity for kelp forests to alter seawater chemistry requires understanding of the oceanographic and biological mechanisms that drive variability in seawater chemistry. The project will identify specific conditions that could lead to decreases in seawater CO2 by studying 4 sites within the southern Monterey Bay in Central California. An interdisciplinary team will examine variations in ocean chemistry in the context of the oceanographic and ecological characteristics of kelp forest habitats. This project will support an early career researcher, as well as train and support a postdoctoral researcher, PhD student, thesis master's student, and up to six undergraduate students. The PIs will actively recruit students from underrepresented groups to participate in this project through Stanford University's Summer Research in Geosciences and Engineering (SURGE) program and the Society for Advancement of Hispanics/Chicanos and Native Americans in Science (SACNAS). In addition, the PIs and students will actively engage with the management community (Monterey Bay National Marine Sanctuary and California Department of Fish and Wildlife) to advance products based on project data that will assist the development of management strategies for kelp forest habitats in a changing ocean.</p>
<p>This project builds upon an extensive preliminary data set and will link kelp forest community attributes and hydrodynamic properties to kelp forest biogeochemistry (including the carbon system and dissolved oxygen) to understand mechanistically how giant kelp modifies surrounding waters and affects water chemistry using unique high-resolution measurement capabilities that have provided important insights in coral reef biogeochemistry. The project sites are characterized by different oceanographic settings and kelp forest characteristics that will allow examination of relationships between kelp forest inhabitants and water column chemistry. Continuous measurements of water column velocity, temperature, dissolved oxygen, pH, and photosynthetically active radiation will be augmented by twice-weekly measurements of dissolved inorganic carbon, total alkalinity, and nutrients as well as periods of high frequency sampling of all carbonate system parameters. Quantifying vertical gradients in carbonate system chemistry within kelp forests will lead to understanding of its dependence on seawater residence time and water column stratification. Additional biological sampling of kelp, benthic communities, and phytoplankton will be used to 1) determine contributions of understory algae and calcifying species to bottom water chemistry, 2) determine contributions of kelp canopy growth and phytoplankton to surface water chemistry, and 3) quantify the spatial extent of surface chemistry alteration by kelp forests. The physical, biological, and chemical data collected across multiple forests will allow development of a statistical model for predictions of kelp forest carbonate system chemistry alteration in different locations and under future climate scenarios. Threshold values of oceanographic conditions and kelp forest characteristics that lead to alteration of water column chemistry will be identified for use by managers in mitigation strategies such as targeted protection or restoration.</p>
Kelp forest biogeochemistry
largerWorkCitation
project
eng; USA
oceans
Hopkins Marine Station, Monterey Bay, CA (Kelp Mooring: 36° 37.297’ N, 121° 54.102’ W)
-121.90167
-121.90167
36.62167
36.62167
2018-07-11
2018-07-20
Central California 36.6 N 122 W
0
BCO-DMO catalogue of parameters from Dissolved Inorganic Carbon measured in situ over depth in the kelp forest (36° 37.3’ N, 121° 54.1’ W) recorded in July 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/826241.rdf
Name: Timestamp_DIC
Units: unitless
Description: <p>local date and time, PST</p>
http://lod.bco-dmo.org/id/dataset-parameter/826242.rdf
Name: DIC_1mab
Units: micromoles per kilogram (umol/kg)
Description: <p>DIC measured 1 meter above the bottom</p>
http://lod.bco-dmo.org/id/dataset-parameter/826243.rdf
Name: DIC_6mab
Units: micromoles per kilogram (umol/kg)
Description: <p>DIC measured 6 meters above the bottom</p>
http://lod.bco-dmo.org/id/dataset-parameter/826244.rdf
Name: DIC_surface
Units: micromoles per kilogram (umol/kg)
Description: <p>DIC measured at the surface</p>
http://lod.bco-dmo.org/id/dataset-parameter/826245.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Sampling date and time in ISO format (yyyy-mm-ddThh:mm:ssZ) in UTC (coordinated Universal Time)</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
42065
https://darchive.mblwhoilibrary.org/bitstream/1912/26325/1/dataset-826200_kelp-forest-pumping-data-dic__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.826200.1
download
onLine
dataset
<p>Continuous flow pumping experiments were conducted inside the kelp forest from a vessel within 15-m of the kelp mooring to obtain high temporal and vertical resolution biogeochemical data. Two experiments were conducted (July 11-13 and July 18-20, 2018) that overlapped with the kelp mooring pH timeseries data. Seawater was pumped from five depths spanning the water column using five sections of equal-length polypropylene tubing (3/8” ID, 1/2” OD) deployed over the side of a moored vessel. The depths presented here include the surface (valve #5), 6 mab (2-5 mbs, valve #3), and 1 mab (7-10 mbs, valve #1). A custom auto sampling manifold introduced water from each of the 5 tubes to a continuous flow system at 5-minute intervals, allowing the full suite of depths to be sampled every 25 minutes for the duration of each experiment (similar to Koweek et al., 2015a; Koweek et al., 2015b; Teneva et al., 2013). Seawater was drawn into the continuous flow system from each depth by a peristaltic pump operating at 2L/min.</p>
<p>Dissolved inorganic carbon (DIC) samples were automatically drawn every 5 minutes and analyzed using a custom-built sample acidification and delivery system coupled to a Li-COR 7000 infrared gas analyzer as described in Long et al. (2011). DIC was calibrated every hour using certified reference materials (CRM), Batch 169 (Dickson, 2010). Instrumental precision, based on 102 CRM analyses, was ± 5.7 μmol kg-1.</p>
Specified by the Principal Investigator(s)
<p>DIC samples were drawn from whichever depth was being actively pumped. The samples were later paired to the<br />
appropriate depth by matching DIC sampling time to the valve control record of which depth was being pumped. Data processing was completed in Matlab.</p>
<p>BCO-DMO Processing notes:</p>
<ul>
<li>Converted Timestamp to ISO format, and timezone from Pacific Standard Time (PST) to UTC</li>
</ul>
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
Li-COR 7000 infrared gas analyzer
Li-COR 7000 infrared gas analyzer
PI Supplied Instrument Name: Li-COR 7000 infrared gas analyzer PI Supplied Instrument Description:Li-COR 7000 infrared gas analyzer Instrument Name: LI-COR LI-7000 Gas Analyzer Instrument Short Name:LI-COR LI-7000 Instrument Description: The LI-7000 gas analyzer is a differential, single source, non-dispersive, infrared gas analyzer. It has two solid state detectors, one each for CO2 and H2O, filters at 4.255 microns and 2.595 microns respectively. CO2 is measured in the range 0-3000ppm, with an accuracy of 1 percent nominally. H2O is measured in the range 0-60 mmol per mol, with an accuracy of one 1 percent. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/382/
Deployment: KELP
KELP
Mooring - Hopkins Marine Station
mooring
KELP
Kerry J. Nickols
California State University Northridge
Mooring - Hopkins Marine Station
mooring