http://lod.bco-dmo.org/id/dataset/857255
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
2021-08-04
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Total alkalinity incubation data for coralline algae from August to September 2017 at the Sitka Sound Science Center (SSSC) (High latitude kelp dynamics project)
2021-08-04
publication
2021-08-04
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-10-14
publication
https://doi.org/10.26008/1912/bco-dmo.857255.1
Kristy J. Kroeker
University of California-Santa Cruz
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: Bell, L. E., Kroeker, K. J. (2021) Total alkalinity incubation data for coralline algae from August to September 2017 at the Sitka Sound Science Center (SSSC) (High latitude kelp dynamics project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-08-04 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.857255.1 [access date]
Total alkalinity incubation data for coralline algae individuals and paired controls, ru in the last week of a laboratory experiment testing the effects of pH, light availability and biotic interaction on coralline algae calcification and productivity. Dataset Description: <p>Total alkalinity incubation data for coralline algae individuals and paired controls, ru in the last week of a laboratory experiment testing the effects of pH, light availability and biotic interaction on coralline algae calcification and productivity.</p> Methods and Sampling: <p><strong>Methodology:&nbsp;</strong></p>
<p><strong>Sampling and analytical procedures:</strong></p>
<p>To test the response of the coralline algae Crusticorallina spp. and Bossiella orbigniana to future OA scenarios, we used an 18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center to simulate three static pH<sub>T</sub> levels (current summer = 8.0, future summer/current winter = 7.7, future winter = 7.4) under two seasonal light regimes simulated with full-spectrum aquarium lights (AI Prime HD) (summer = PPFD 55μmol m<sup>-2</sup> s<sup>-1</sup>, 13h d<sup>-1</sup>, winter = PPFD 40μmol m<sup>-2</sup> s<sup>-1</sup>, 6h d<sup>-1</sup>). We had a total of 3 aquaria for each of the 6 treatment combinations. A full description of the pH control for this system can be found in Kroeker et al. 2021, but in short: pH was regulated using a relay system that controlled mixing of pre-equilibrated low-pH seawater (formed by bubbling pure CO<sub>2 </sub>gas into seawater: pH6.0) and ambient pH seawater into 9 header buckets (n=3 headers per pH treatment) that then flowed into the experimental aquaria. Each header bucket was equipped with a pH sensor (DuraFET, Honeywell) communicating with a controller (UDA 2152, Honeywell) to regulate flow of the low pH water through solenoid valves to maintain pre-programmed pH setpoints. Experimental pH levels were chosen to reflect current seasonal minimums of coastal pH measured at Harris Is. (57.032N, 135.277W) from 2016-2017, as well as end-of-century projections for Gulf of Alaska pH levels based on RCP 8.5 (-0.3 pH<sub>T</sub> from current levels). Experimental light regimes were defined using seasonal averages for day length and measured irradiance level at 10m depth at Harris Is.</p>
<p>Within each pH level and light treatment combination, half of the individual Crusticorallina spp. and B. orbigniana were randomly assigned to be paired in close proximity with the fleshy red alga Cryptopleura ruprechtiana (n=6 species treatment<sup>-1</sup>). All algal individuals were collected on Aug 5, 2017 at Harris Is. Total experimental duration was 45d (Aug 7-Sept 21, 2017).</p>
<p>Total alkalinity (TA) incubations were run in the last week of the experiment on a subset of coralline algae from each treatment (n=3 individuals treatment<sup>-1</sup> species<sup>-1</sup>) by isolating individuals in 245mL glass chambers filled with seawater from their associated aquaria and sealed airtight. Paired Cryptopleura ruprechtiana were not included in incubation chambers in order to isolate the responses of the coralline algae. Chambers were placed on a magnetic stir plate in a water bath at consistent temperature (13℃), with stir bars able to spin freely underneath coralline algae separated by a mesh screen. All incubations were run under a mean PPFD of 80μmol m<sup>-2</sup> s<sup>-1</sup> for 3h. At the end of the incubation period, seawater from each chamber was collected to measure endpoint TA. Seawater for TA incubation chamber controls was collected from corresponding aquaria at the beginning of each incubation round and used to measure any background TA variation in empty chambers during the incubation period. All discrete water samples for TA were poisoned and processed as outlined in section 2.4.</p>
<p>TA measurements from coralline algal incubations were used to calculate short-term net calcification (G<sub>net</sub>; μmol g<sup>-1</sup> DW h<sup>-1</sup>) using the equation (Smith et al. 1975, Martin et al. 2006): G<sub>net</sub>(CaCO3) = (ΔTA*ν)/(2*DW*Δt ), where ΔTA (μmol kgSW<sup>-1</sup>) is the change in total alkalinity from the beginning to end of the incubation period corrected to chamber controls, ν (L) is the chamber volume, DW (g) is the dry weight of the alga, and Δt (h) is the total incubation time. Dry weights (DW; g) for the living coralline algae used in TA incubations were estimated from buoyant weight (BW; g) measurements using the equation: DW = BW /(1-(ρ<sub>SW/</sub>ρ<sub>calcite)),</sub>where we used a seawater density (ρ<sub>SW</sub>) of 1.02g cm<sup>-3</sup> (from average T and S data at the time of BW) and a calcite density (ρ<sub>calcite</sub>) of 2.71g cm<sup>-3</sup>.</p>
<p>Each coralline algae’s buoyant weight (Jokiel et al. 1978) was measured to the nearest 0.0001g on a balanced platform suspended below a microbalance in a temperature-monitored seawater bath. To ensure precision, buoyant weights were repeated for each individual until measurements differed by less than ±0.005g, and then an average was taken of the measurements falling in this range of precision.</p>
<p>Discrete water samples for laboratory measurements of TA were transported to UCSC for analysis within 8 months of collection. TA measurements were performed using open cell titration (Metrohm, 905 Titrandro) and corrected against certified reference materials of CO<sub>2</sub> in seawater (Dickson laboratory, Scripps Institution of Oceanography), with an average standard error of ±0.933μmol kg<sup>-1</sup> SW<sup>-1</sup> among sample triplicates.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1752600 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1752600
completed
Kristy J. Kroeker
University of California-Santa Cruz
831-566-8253
100 Shaffer Road
Santa Cruz
CA
95060
USA
kkroeker@ucsc.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
species
header
tank_rep
alg_ID
TAinc_start_datetime_AKST
TAinc_end_datetime_AKST
ISO_TAinc_start_datetime_UTC
ISO_TAinc_end_datetime_UTC
pH
light
assoc
TAinc_round
TAvessel_ID
header_pH
bwavg
TA_avg_final
TA_se_final
Sartorius Entris 224-1S Microbalance
Metrohm 905 Titrandro titrator
theme
None, User defined
species scientific name (binomial)
replicate
ISO_DateTime_Local
ISO_DateTime_UTC
pH
treatment
mass
total alkalinity (TA)
featureType
BCO-DMO Standard Parameters
scale or balance
Titrator
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.
CAREER: Energy fluxes and community stability in a dynamic, high-latitude kelp ecosystem
https://osprey.bco-dmo.org/project/756735
CAREER: Energy fluxes and community stability in a dynamic, high-latitude kelp ecosystem
<p><em>NSF Award Abstract:</em><br />
High latitude kelp forests support a wealth of ecologically and economically important species, buffer coastlines from high-energy storms, and play a critical role in the marine carbon cycle by sequestering and storing large amounts of carbon. Understanding how energy fluxes and consumer-resource interactions vary in these kelp communities is critical for defining robust management strategies that help maintain these valuable ecosystem services. In this integrated research and education program, the project team will investigate how consumer populations respond to variability in temperature, carbonate chemistry and resource quality to influence the food webs and ecosystem stability of kelp forests. A comprehensive suite of studies conducted at the northern range limit for giant kelp (Macrocystis pyrifera) in SE Alaska will examine how kelp communities respond to variable environmental conditions arising from seasonal variability and changing ocean temperature and acidification conditions. As part of this project, undergraduate and high school students will receive comprehensive training through (1) an immersive field-based class in Sitka Sound, Alaska, (2) intensive, mentored research internships, and (3) experiential training in science communication and public outreach that will include a variety of opportunities to disseminate research findings through podcasts, public lectures and radio broadcasts.</p>
<p>Consumer-resource interactions structure food webs and govern ecosystem stability, yet our understanding of how these important interactions may change under future climatic conditions is hampered by the complexity of direct and indirect effects of multiple stressors within and between trophic levels. For example, environmentally mediated changes in nutritional quality and chemical deterrence of primary producers have the potential to alter herbivory rates and energy fluxes between primary producers and consumers, with implications for ecosystem stability. Moreover, the effects of global change on primary producers are likely to depend on other limiting resources, such as light and nutrients, which vary seasonally in dynamic, temperate and high latitude ecosystems. In marine ecosystems at high latitude, climate models predict that ocean acidification will be most pronounced during the winter months, when primary production is limited by light. This project is built around the hypothesis that there could be a mismatch in the energetic demands of primary consumers caused by warming and ocean acidification and resource availability and quality during winter months, with cascading effects on trophic structure and ecosystem stability in the future. Through complementary lab and field experiments, the project team will determine 1) how temperature and carbonate chemistry combine to affect primary consumer bioenergetics across a diversity of species and 2) the indirect effects of ocean acidification and warming on primary consumers via environmentally mediated changes in the availability, nutritional quality and palatability of primary producers across seasons. Using the data from the laboratory and field experiments, the project team will 3) construct a model of the emergent effects of warming and ocean acidification on trophic structure and ecosystem stability in seasonally dynamic, high latitude environments.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
High latitude kelp dynamics
largerWorkCitation
project
eng; USA
oceans
-135.3235
-135.3235
57.0498
57.0498
2017-08-07
2017-09-21
SE Alaskan coastal waters
0
BCO-DMO catalogue of parameters from Total alkalinity incubation data for coralline algae from August to September 2017 at the Sitka Sound Science Center (SSSC) (High latitude kelp dynamics 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
http://lod.bco-dmo.org/id/dataset-parameter/857980.rdf
Name: species
Units: unitless
Description: <p>taxonomic identifier of individuala considered OR indicator of control vessel</p>
http://lod.bco-dmo.org/id/dataset-parameter/857981.rdf
Name: header
Units: unitless
Description: <p>numerical ID of experimental tank replicate (#1-9)</p>
http://lod.bco-dmo.org/id/dataset-parameter/857982.rdf
Name: tank_rep
Units: unitless
Description: <p>alphabetic ID of experimental tank replicate</p>
http://lod.bco-dmo.org/id/dataset-parameter/857983.rdf
Name: alg_ID
Units: unitless
Description: <p>alphabetic ID of individual unique to header/tank.rep OR indicator of control vessel (A-H or CONTROL)</p>
http://lod.bco-dmo.org/id/dataset-parameter/857984.rdf
Name: TAinc_start_datetime_AKST
Units: unitless
Description: <p>datetime (AKST) of performed TA incubation round start (vessel sealed); format: YYYY-MM-DD H:M</p>
http://lod.bco-dmo.org/id/dataset-parameter/857985.rdf
Name: TAinc_end_datetime_AKST
Units: unitless
Description: <p>datetime (AKST) of performed TA incubation round end (vessel opened); format: YYYY-MM-DD H:M</p>
http://lod.bco-dmo.org/id/dataset-parameter/857986.rdf
Name: ISO_TAinc_start_datetime_UTC
Units: unitless
Description: <p>datetime (UTC) of performed TA incubation round start (vessel sealed); format: YYYY-MM-DDTH:MZ</p>
http://lod.bco-dmo.org/id/dataset-parameter/857987.rdf
Name: ISO_TAinc_end_datetime_UTC
Units: unitless
Description: <p>datetime (UTC) of performed TA incubation round end (vessel opened); format: YYYY-MM-DDTH:MZ</p>
http://lod.bco-dmo.org/id/dataset-parameter/857988.rdf
Name: pH
Units: unitless
Description: <p>experimental pH treatment level</p>
http://lod.bco-dmo.org/id/dataset-parameter/857989.rdf
Name: light
Units: unitless
Description: <p>experimental light regime treatment (winter or summer)</p>
http://lod.bco-dmo.org/id/dataset-parameter/857990.rdf
Name: assoc
Units: unitless
Description: <p>experimental algal association treatment (w = paired w/ C. ruprechtiana; wo = no pairing)</p>
http://lod.bco-dmo.org/id/dataset-parameter/857991.rdf
Name: TAinc_round
Units: unitless
Description: <p>numerical ID of TA incubation round (#1-8)</p>
http://lod.bco-dmo.org/id/dataset-parameter/857992.rdf
Name: TAvessel_ID
Units: unitless
Description: <p>numerical ID of incubation vessel used (#1-10)</p>
http://lod.bco-dmo.org/id/dataset-parameter/857993.rdf
Name: header_pH
Units: unitless
Description: <p>pH of corresponding header bucket at time of TA start</p>
http://lod.bco-dmo.org/id/dataset-parameter/857994.rdf
Name: bwavg
Units: g
Description: <p>final mean buoyant weight of experimental individual</p>
http://lod.bco-dmo.org/id/dataset-parameter/857995.rdf
Name: TA_avg_final
Units: µmol kg-1
Description: <p>mean TA of seawater in vessel at end of TA incubation, from triplicate measurement</p>
http://lod.bco-dmo.org/id/dataset-parameter/857996.rdf
Name: TA_se_final
Units: µmol kg-1
Description: <p>TA standard error of seawater in vessel at end of TA incubation, from triplicate measurement</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
10309
https://darchive.mblwhoilibrary.org/bitstream/1912/27619/1/dataset-857255_coralline-algae-experiment-total-alkalinity-ta-incubation-data__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.857255.1
download
onLine
dataset
<p><strong>Methodology:&nbsp;</strong></p>
<p><strong>Sampling and analytical procedures:</strong></p>
<p>To test the response of the coralline algae Crusticorallina spp. and Bossiella orbigniana to future OA scenarios, we used an 18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center to simulate three static pH<sub>T</sub> levels (current summer = 8.0, future summer/current winter = 7.7, future winter = 7.4) under two seasonal light regimes simulated with full-spectrum aquarium lights (AI Prime HD) (summer = PPFD 55μmol m<sup>-2</sup> s<sup>-1</sup>, 13h d<sup>-1</sup>, winter = PPFD 40μmol m<sup>-2</sup> s<sup>-1</sup>, 6h d<sup>-1</sup>). We had a total of 3 aquaria for each of the 6 treatment combinations. A full description of the pH control for this system can be found in Kroeker et al. 2021, but in short: pH was regulated using a relay system that controlled mixing of pre-equilibrated low-pH seawater (formed by bubbling pure CO<sub>2 </sub>gas into seawater: pH6.0) and ambient pH seawater into 9 header buckets (n=3 headers per pH treatment) that then flowed into the experimental aquaria. Each header bucket was equipped with a pH sensor (DuraFET, Honeywell) communicating with a controller (UDA 2152, Honeywell) to regulate flow of the low pH water through solenoid valves to maintain pre-programmed pH setpoints. Experimental pH levels were chosen to reflect current seasonal minimums of coastal pH measured at Harris Is. (57.032N, 135.277W) from 2016-2017, as well as end-of-century projections for Gulf of Alaska pH levels based on RCP 8.5 (-0.3 pH<sub>T</sub> from current levels). Experimental light regimes were defined using seasonal averages for day length and measured irradiance level at 10m depth at Harris Is.</p>
<p>Within each pH level and light treatment combination, half of the individual Crusticorallina spp. and B. orbigniana were randomly assigned to be paired in close proximity with the fleshy red alga Cryptopleura ruprechtiana (n=6 species treatment<sup>-1</sup>). All algal individuals were collected on Aug 5, 2017 at Harris Is. Total experimental duration was 45d (Aug 7-Sept 21, 2017).</p>
<p>Total alkalinity (TA) incubations were run in the last week of the experiment on a subset of coralline algae from each treatment (n=3 individuals treatment<sup>-1</sup> species<sup>-1</sup>) by isolating individuals in 245mL glass chambers filled with seawater from their associated aquaria and sealed airtight. Paired Cryptopleura ruprechtiana were not included in incubation chambers in order to isolate the responses of the coralline algae. Chambers were placed on a magnetic stir plate in a water bath at consistent temperature (13℃), with stir bars able to spin freely underneath coralline algae separated by a mesh screen. All incubations were run under a mean PPFD of 80μmol m<sup>-2</sup> s<sup>-1</sup> for 3h. At the end of the incubation period, seawater from each chamber was collected to measure endpoint TA. Seawater for TA incubation chamber controls was collected from corresponding aquaria at the beginning of each incubation round and used to measure any background TA variation in empty chambers during the incubation period. All discrete water samples for TA were poisoned and processed as outlined in section 2.4.</p>
<p>TA measurements from coralline algal incubations were used to calculate short-term net calcification (G<sub>net</sub>; μmol g<sup>-1</sup> DW h<sup>-1</sup>) using the equation (Smith et al. 1975, Martin et al. 2006): G<sub>net</sub>(CaCO3) = (ΔTA*ν)/(2*DW*Δt ), where ΔTA (μmol kgSW<sup>-1</sup>) is the change in total alkalinity from the beginning to end of the incubation period corrected to chamber controls, ν (L) is the chamber volume, DW (g) is the dry weight of the alga, and Δt (h) is the total incubation time. Dry weights (DW; g) for the living coralline algae used in TA incubations were estimated from buoyant weight (BW; g) measurements using the equation: DW = BW /(1-(ρ<sub>SW/</sub>ρ<sub>calcite)),</sub>where we used a seawater density (ρ<sub>SW</sub>) of 1.02g cm<sup>-3</sup> (from average T and S data at the time of BW) and a calcite density (ρ<sub>calcite</sub>) of 2.71g cm<sup>-3</sup>.</p>
<p>Each coralline algae’s buoyant weight (Jokiel et al. 1978) was measured to the nearest 0.0001g on a balanced platform suspended below a microbalance in a temperature-monitored seawater bath. To ensure precision, buoyant weights were repeated for each individual until measurements differed by less than ±0.005g, and then an average was taken of the measurements falling in this range of precision.</p>
<p>Discrete water samples for laboratory measurements of TA were transported to UCSC for analysis within 8 months of collection. TA measurements were performed using open cell titration (Metrohm, 905 Titrandro) and corrected against certified reference materials of CO<sub>2</sub> in seawater (Dickson laboratory, Scripps Institution of Oceanography), with an average standard error of ±0.933μmol kg<sup>-1</sup> SW<sup>-1</sup> among sample triplicates.</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO processing notes:</strong></p>
<p>Renamed fields to meet BCO-DMO header naming conventions&nbsp;</p>
<p>Merged time and date fields to datetime fields, and added UTC dates</p>
<p>&nbsp;</p>
<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
Sartorius Entris 224-1S Microbalance
Sartorius Entris 224-1S Microbalance
PI Supplied Instrument Name: Sartorius Entris 224-1S Microbalance PI Supplied Instrument Description:Each coralline algae’s buoyant weight (Jokiel et al. 1978) was measured to the nearest 0.0001g on a balanced platform suspended below a microbalance in a temperature-monitored seawater bath. To ensure precision, buoyant weights were repeated for each individual until measurements differed by less than ±0.005g, and then an average was taken of the measurements falling in this range of precision. Instrument Name: scale or balance Instrument Short Name: Instrument Description: Devices that determine the mass or weight of a sample. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB13/
Metrohm 905 Titrandro titrator
Metrohm 905 Titrandro titrator
PI Supplied Instrument Name: Metrohm 905 Titrandro titrator PI Supplied Instrument Description:TA measurements were performed using open cell titration (Metrohm, 905 Titrandro) and corrected against certified reference materials of CO2 in seawater (Dickson laboratory, Scripps Institution of Oceanography), with an average standard error of ±0.933μmol kg-1 SW-1 among sample triplicates. Instrument Name: Titrator Instrument Short Name:Titrator Instrument Description: Titrators are instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB12/