http://lod.bco-dmo.org/id/dataset/857184
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)
Oxygen evolution data for macroalgae during photo physiology incubations for photosynthesis-irradiance curves from August to September 2017 (High latitude kelp dynamics)
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.857184.1
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) Oxygen evolution data for macroalgae during photo physiology incubations for photosynthesis-irradiance curves from August to September 2017 (High latitude kelp dynamics). 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.857184.1 [access date]
Oxygen evolution data for macroalgae during photo physiology incubations, for generation of photosynthesis-irradiance curves. Run in the last week of a laboratory experiment testing the effects of pH, light availability and biotic interaction on coralline Dataset Description: <p>Oxygen evolution data for macroalgae during photo physiology incubations, for generation of photosynthesis-irradiance curves. Run 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>In vivo photophysiology was characterized for all red algal species at the end of the experiment by measuring the rate of oxygen evolution produced by algal thalli at seven irradiance levels. Following the final buoyant mass measurement, a small piece of thallus (mean ± SE: B. orbigniana: 0.17 ±0.02g; Crusticorallina spp.: 0.53 ± 0.03g; C. ruprechtiana: 0.07 ± 0.003g) was taken from haphazardly selected individuals (n=3 treatment<sup>-1</sup> species<sup>-1</sup>) and placed in a 69mL incubation chamber filled with seawater from the associated aquaria and equipped with a stir bar and an oxygen sensor spot (PreSens SP-PSt4-SA). Sensor spots were calibrated daily using a two-point correction of 100% (air-saturated water) and 0% (1% Na<sub>2</sub>SO<sub>3</sub> and 0.05% Co(NO<sub>3</sub>)<sub>2</sub> standard solution) saturation. Incubation chambers were sealed airtight using clear plexiglass lids affixed with vacuum grease and submerged onto a magnetic stir plate in a temperature-controlled water bath. Full-spectrum aquarium lights (AI Hydra HD) were used to expose thalli in chambers to seven consecutively increasing irradiance levels (~PPFD 0, 20, 70, 140, 320, 425, 720μmol m<sup>-2</sup> s<sup>-1</sup>). A fiber optic O<sub>2</sub> sensor (Fibox IV, Presens) was used to record the dissolved oxygen concentration in each chamber at 30, 45 and 60min after each irradiance level was reached. Dissolved oxygen evolution rate (mg O<sub>2</sub> min<sup>-1</sup>) at each irradiance level was calculated using linear regression, corrected against paired chamber controls (no algae), and normalized to chamber volume and thalli wet mass (mg O<sub>2</sub> g<sup>-1</sup> min<sup>-1</sup> L<sup>-1</sup>).</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
pH
light
assoc
I
o2
18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center
Al Hydra HD Full-spectrum aquarium lights
PreSens SP-PSt4-SA oxygen sensor spots
Presens Fibox IV fiber optic O2 sensor
Honeywell UDA 2152
theme
None, User defined
species scientific name (binomial)
replicate
individual
pH
treatment
irradiance
dissolved Oxygen
featureType
BCO-DMO Standard Parameters
Aquarium
LED light
Oxygen Sensor
Oxygen Sensor
pH Sensor
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
2017-08-05
2017-09-21
SE Alaskan coastal waters
0
BCO-DMO catalogue of parameters from Oxygen evolution data for macroalgae during photo physiology incubations for photosynthesis-irradiance curves from August to September 2017 (High latitude kelp dynamics)
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/857200.rdf
Name: species
Units: unitless
Description: <p>taxonomic identifier of individual considered</p>
http://lod.bco-dmo.org/id/dataset-parameter/857201.rdf
Name: header
Units: unitless
Description: <p>numerical ID of experimental header bucket</p>
http://lod.bco-dmo.org/id/dataset-parameter/857202.rdf
Name: tank_rep
Units: unitless
Description: <p>alphabetic ID of experimental tank replicate</p>
http://lod.bco-dmo.org/id/dataset-parameter/857203.rdf
Name: alg_ID
Units: unitless
Description: <p>alphabetic ID of indiv., unique to header/tank replicate</p>
http://lod.bco-dmo.org/id/dataset-parameter/857204.rdf
Name: pH
Units: unitless
Description: <p>experimental pH treatment level</p>
http://lod.bco-dmo.org/id/dataset-parameter/857205.rdf
Name: light
Units: unitless
Description: <p>experimental light regime treatment (winter or summer)</p>
http://lod.bco-dmo.org/id/dataset-parameter/857206.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/857207.rdf
Name: I
Units: μmol m-2 s-1 n/a
Description: <p>irradiance (PPFD) level at which oxygen evolution rate calculated</p>
http://lod.bco-dmo.org/id/dataset-parameter/857208.rdf
Name: o2
Units: mg g-1 min-1 L-1
Description: <p>oxygen evolution rate at given PPFD, normalized to thalli mass & chamber volume</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
21294
https://darchive.mblwhoilibrary.org/bitstream/1912/27620/1/dataset-857184_coralline-algae-experiment-p-e-curve-data__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.857184.1
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>In vivo photophysiology was characterized for all red algal species at the end of the experiment by measuring the rate of oxygen evolution produced by algal thalli at seven irradiance levels. Following the final buoyant mass measurement, a small piece of thallus (mean ± SE: B. orbigniana: 0.17 ±0.02g; Crusticorallina spp.: 0.53 ± 0.03g; C. ruprechtiana: 0.07 ± 0.003g) was taken from haphazardly selected individuals (n=3 treatment<sup>-1</sup> species<sup>-1</sup>) and placed in a 69mL incubation chamber filled with seawater from the associated aquaria and equipped with a stir bar and an oxygen sensor spot (PreSens SP-PSt4-SA). Sensor spots were calibrated daily using a two-point correction of 100% (air-saturated water) and 0% (1% Na<sub>2</sub>SO<sub>3</sub> and 0.05% Co(NO<sub>3</sub>)<sub>2</sub> standard solution) saturation. Incubation chambers were sealed airtight using clear plexiglass lids affixed with vacuum grease and submerged onto a magnetic stir plate in a temperature-controlled water bath. Full-spectrum aquarium lights (AI Hydra HD) were used to expose thalli in chambers to seven consecutively increasing irradiance levels (~PPFD 0, 20, 70, 140, 320, 425, 720μmol m<sup>-2</sup> s<sup>-1</sup>). A fiber optic O<sub>2</sub> sensor (Fibox IV, Presens) was used to record the dissolved oxygen concentration in each chamber at 30, 45 and 60min after each irradiance level was reached. Dissolved oxygen evolution rate (mg O<sub>2</sub> min<sup>-1</sup>) at each irradiance level was calculated using linear regression, corrected against paired chamber controls (no algae), and normalized to chamber volume and thalli wet mass (mg O<sub>2</sub> g<sup>-1</sup> min<sup>-1</sup> L<sup>-1</sup>).</p>
Specified by the Principal Investigator(s)
<p><strong>Data processing notes from researchers:</strong></p>
<p>Dissolved oxygen evolution rate (mg O2 min-1) at each irradiance level was calculated using linear regression, corrected against paired chamber controls (no algae), and normalized to chamber volume and thalli wet mass (mg O2 g-1 min-1 L-1).</p>
<p><strong>BCO-DMO processing notes:</strong></p>
<p>Renamed fields to meet BCO-DMO naming conventions; tank.rep, alg.ID, and assoc. are now tank_rep, alg_ID, and assoc, respectively</p>
<p>Fields rounded consistently to maximum precision.</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
18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center
18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center
PI Supplied Instrument Name: 18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center PI Supplied Instrument Description: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 pHT 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-2 s-1, 13h d-1, winter = PPFD 40μmol m-2 s-1, 6h d-1). 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 CO2 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. Instrument Name: Aquarium Instrument Short Name:Aquarium Instrument Description: Aquarium - a vivarium consisting of at least one transparent side in which water-dwelling plants or animals are kept
Al Hydra HD Full-spectrum aquarium lights
Al Hydra HD Full-spectrum aquarium lights
PI Supplied Instrument Name: Al Hydra HD Full-spectrum aquarium lights PI Supplied Instrument Description: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 pHT 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-2 s-1, 13h d-1, winter = PPFD 40μmol m-2 s-1, 6h d-1). Instrument Name: LED light Instrument Short Name: Instrument Description: A light-emitting diode (LED) is a semiconductor light source that emits light when current flows through it. Electrons in the semiconductor recombine with electron holes, releasing energy in the form of photons.
PreSens SP-PSt4-SA oxygen sensor spots
PreSens SP-PSt4-SA oxygen sensor spots
PI Supplied Instrument Name: PreSens SP-PSt4-SA oxygen sensor spots PI Supplied Instrument Description:In vivo photophysiology was characterized for all red algal species at the end of the experiment by measuring the rate of oxygen evolution produced by algal thalli at seven irradiance levels. Following the final buoyant mass measurement, a small piece of thallus (mean ± SE: B. orbigniana: 0.17 ±0.02g; Crusticorallina spp.: 0.53 ± 0.03g; C. ruprechtiana: 0.07 ± 0.003g) was taken from haphazardly selected individuals (n=3 treatment-1 species-1) and placed in a 69mL incubation chamber filled with seawater from the associated aquaria and equipped with a stir bar and an oxygen sensor spot (PreSens SP-PSt4-SA). Sensor spots were calibrated daily using a two-point correction of 100% (air-saturated water) and 0% (1% Na2SO3 and 0.05% Co(NO3)2 standard solution) saturation. Instrument Name: Oxygen Sensor Instrument Short Name:Dissolved Oxygen Sensor Instrument Description: An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed
Presens Fibox IV fiber optic O2 sensor
Presens Fibox IV fiber optic O2 sensor
PI Supplied Instrument Name: Presens Fibox IV fiber optic O2 sensor PI Supplied Instrument Description:A fiber optic O2 sensor (Fibox IV, Presens) was used to record the dissolved oxygen concentration in each chamber at 30, 45 and 60min after each irradiance level was reached. Instrument Name: Oxygen Sensor Instrument Short Name:Dissolved Oxygen Sensor Instrument Description: An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed
Honeywell UDA 2152
Honeywell UDA 2152
PI Supplied Instrument Name: Honeywell UDA 2152 PI Supplied Instrument Description: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 pHT from current levels). Instrument Name: pH Sensor Instrument Short Name:pH Sensor Instrument Description: An instrument that measures the hydrogen ion activity in solutions.
The overall concentration of hydrogen ions is inversely related to its pH. The pH scale ranges from 0 to 14 and indicates whether acidic (more H+) or basic (less H+).