http://lod.bco-dmo.org/id/dataset/856663
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
2021-07-27
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Wet and buoyant weight measurements of macroalgae at the Sitka Sound Science Center (SSSC) from August to September 2017 (High latitude kelp dynamics project)
2021-07-27
publication
2021-07-27
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-10-14
publication
https://doi.org/10.26008/1912/bco-dmo.856663.1
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) Wet and buoyant weight measurements of macroalgae at the Sitka Sound Science Center (SSSC) from August to September 2017 (High latitude kelp dynamics project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-07-27 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.856663.1 [access date]
Wet weight and buoyant weight measurements of macroalgae taken at the beginning and end of a laboratory experiment testing the effects of pH, light availability and biotic interaction on coralline algae calcification and productivity. Dataset Description: <p>Wet weight and buoyant weight measurements of macroalgae taken at the beginning and end 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: </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>The effects of each experimental pH and light treatment combination and fleshy red algal association on coralline net calcification rate were assessed using the buoyant weight technique (Jokiel et al. 1978), as well as the alkalinity anomaly technique. To determine total relative change in calcified mass over the experimental period, each coralline algae’s buoyant weight was measured to the nearest 0.0001g at the beginning and end of the experiment 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. Initial and final buoyant weights (BW; g) were used to calculate relative net calcification rate (RCR<sub>net</sub>; g g<sup>-1 </sup>d<sup>-1</sup>) of each individual alga using the equation: RCR<sub>net</sub> = (log(BW<sub>final</sub>/BW<sub>initial</sub>)*100)/Δt where Δt (d) is the total days elapsed between the beginning and end of the experiment.</p>
<p>Growth rates of <em>C. ruprechtiana</em> reared in association with coralline algae in the different treatment conditions were quantified by measuring tissue wet weights (WW; g) at the beginning and end of the experiment. Thalli were removed from seawater, patted uniformly dry, and immediately weighed on a standard microbalance to the nearest 0.0001g. Relative growth rate (RGR<sub>net</sub>; g g<sup>-1 </sup>d<sup>-1</sup>) of each individual alga was calculated using the equation: RGR<sub>net</sub> = (log(WW<sub>final</sub>/WW<sub>initial</sub>)*100)/Δt</p>
<p>where Δt (d) is the total days elapsed between the beginning and end of the experiment.</p>
<p><strong>Problem report:</strong></p>
<p>When processing these data for analysis and publication, we filtered out any individual with a weighing flag (weighing_flag = “y”), and any individuals in Poor condition at the end of the experiment (quality_code = “P”)</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_replicate
alg_ID
pH
light
association_treatment
date_initial
ww_initial
bwavg_initial
date_final
ww_final
bwavg_final
quality_code
weighing_flag
18-aquaria indoor experimental system
Honeywell DuraFET pH sensor
Sartorius Entris 224-1S Microbalance
theme
None, User defined
species scientific name (binomial)
replicate
individual
pH
treatment
date
weight
quality code
quality flag
featureType
BCO-DMO Standard Parameters
Aquarium
pH Sensor
scale or balance
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 Wet and buoyant weight measurements of macroalgae at the Sitka Sound Science Center (SSSC) from August to September 2017 (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/856881.rdf
Name: species
Units: unitless
Description: <p>taxonomic identifier of individual considered</p>
http://lod.bco-dmo.org/id/dataset-parameter/856882.rdf
Name: header
Units: unitless
Description: <p>numerical ID of experimental tank replicate</p>
http://lod.bco-dmo.org/id/dataset-parameter/856883.rdf
Name: tank_replicate
Units: unitless
Description: <p>alphabetic ID of experimental tank replicate</p>
http://lod.bco-dmo.org/id/dataset-parameter/856884.rdf
Name: alg_ID
Units: unitless
Description: <p>alphabetic ID of indiv., unique to header/tank.rep</p>
http://lod.bco-dmo.org/id/dataset-parameter/856885.rdf
Name: pH
Units: unitless
Description: <p>experimental pH treatment level</p>
http://lod.bco-dmo.org/id/dataset-parameter/856886.rdf
Name: light
Units: unitless
Description: <p>experimental light regime treatment (winter or summer)</p>
http://lod.bco-dmo.org/id/dataset-parameter/856887.rdf
Name: association_treatment
Units: unitless
Description: <p>experimental algal association treatment (w = paired with C. ruprechtiana; wo = no pairing)</p>
http://lod.bco-dmo.org/id/dataset-parameter/856888.rdf
Name: date_initial
Units: unitless
Description: <p>date (AKST) of pre-experiment mass measurements; format: YYYY-MM-DD </p>
<p> </p>
http://lod.bco-dmo.org/id/dataset-parameter/856889.rdf
Name: ww_initial
Units: grams (g)
Description: <p>initial wet weight of experimental individual</p>
http://lod.bco-dmo.org/id/dataset-parameter/856890.rdf
Name: bwavg_initial
Units: grams (g)
Description: <p>initial mean buoyant weight of experimental individual</p>
http://lod.bco-dmo.org/id/dataset-parameter/856891.rdf
Name: date_final
Units: unitless
Description: <p>date (AKST) of post-experiment mass measurements; format: YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/856892.rdf
Name: ww_final
Units: grams (g)
Description: <p>final weight of experimental individual</p>
http://lod.bco-dmo.org/id/dataset-parameter/856893.rdf
Name: bwavg_final
Units: grams (g)
Description: <p>final mean buoyant weight of experimental individual</p>
http://lod.bco-dmo.org/id/dataset-parameter/856894.rdf
Name: quality_code
Units: unitless
Description: <p>indicator of algal condition at exp. End (R = robust; F = fair; P = poor)</p>
http://lod.bco-dmo.org/id/dataset-parameter/856895.rdf
Name: weighing_flag
Units: unitless
Description: <p>indicator of issue during mass measurements (n = no issue; y = issue)</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
16786
https://darchive.mblwhoilibrary.org/bitstream/1912/27624/1/dataset-856663_coralline-algae-experiment-algal-growth-data__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.856663.1
download
onLine
dataset
<p><strong>Methodology: </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>The effects of each experimental pH and light treatment combination and fleshy red algal association on coralline net calcification rate were assessed using the buoyant weight technique (Jokiel et al. 1978), as well as the alkalinity anomaly technique. To determine total relative change in calcified mass over the experimental period, each coralline algae’s buoyant weight was measured to the nearest 0.0001g at the beginning and end of the experiment 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. Initial and final buoyant weights (BW; g) were used to calculate relative net calcification rate (RCR<sub>net</sub>; g g<sup>-1 </sup>d<sup>-1</sup>) of each individual alga using the equation: RCR<sub>net</sub> = (log(BW<sub>final</sub>/BW<sub>initial</sub>)*100)/Δt where Δt (d) is the total days elapsed between the beginning and end of the experiment.</p>
<p>Growth rates of <em>C. ruprechtiana</em> reared in association with coralline algae in the different treatment conditions were quantified by measuring tissue wet weights (WW; g) at the beginning and end of the experiment. Thalli were removed from seawater, patted uniformly dry, and immediately weighed on a standard microbalance to the nearest 0.0001g. Relative growth rate (RGR<sub>net</sub>; g g<sup>-1 </sup>d<sup>-1</sup>) of each individual alga was calculated using the equation: RGR<sub>net</sub> = (log(WW<sub>final</sub>/WW<sub>initial</sub>)*100)/Δt</p>
<p>where Δt (d) is the total days elapsed between the beginning and end of the experiment.</p>
<p><strong>Problem report:</strong></p>
<p>When processing these data for analysis and publication, we filtered out any individual with a weighing flag (weighing_flag = “y”), and any individuals in Poor condition at the end of the experiment (quality_code = “P”)</p>
Specified by the Principal Investigator(s)
<p><strong>Processing notes from researcher:&nbsp;</strong></p>
<p>When processing these data for analysis and publication, we filtered out any individual with a weighing flag (weighing_flag = “y”), and any individuals in Poor condition at the end of the experiment (quality_code = “P”)</p>
<p><strong>BCO-DMO processing notes:</strong></p>
<p>- Renamed fields "tank.rep", "alg.ID", and "assoc." to meet BCO-DMO naming conventions&nbsp;</p>
<p>- Converted date to YYYY-MM-DD format</p>
<p>- Rounded numerical fields</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
18-aquaria indoor experimental system
PI Supplied Instrument Name: 18-aquaria indoor experimental system 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. 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
Honeywell DuraFET pH sensor
Honeywell DuraFET pH sensor
PI Supplied Instrument Name: Honeywell DuraFET pH sensor 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. 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+).
Sartorius Entris 224-1S Microbalance
Sartorius Entris 224-1S Microbalance
PI Supplied Instrument Name: Sartorius Entris 224-1S Microbalance PI Supplied Instrument Description:Growth rates of C. ruprechtiana reared in association with coralline algae in the different treatment conditions were quantified by measuring tissue wet weights (WW; g) at the beginning and end of the experiment. Thalli were removed from seawater, patted uniformly dry, and immediately weighed on a standard microbalance to the nearest 0.0001g. 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/