http://lod.bco-dmo.org/id/dataset/922807
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
2024-03-19
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Spring and summer 2019 seston, excretion, and tissue C:N:P data for quagga mussels (Dreissena rostriformis bugensis) in Lakes Michigan and Huron
2024-03-19
publication
2024-03-19
revision
BCO-DMO Linked Data URI
2024-03-19
creation
http://lod.bco-dmo.org/id/dataset/922807
Ted Ozersky
University of Minnesota Duluth
principalInvestigator
Sergei Katsev
University of Minnesota Duluth
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
documentDigital
Cite this dataset as: Ozersky, T., Katsev, S. (2024) Spring and summer 2019 seston, excretion, and tissue C:N:P data for quagga mussels (Dreissena rostriformis bugensis) in Lakes Michigan and Huron. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-03-19 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/922807 [access date]
Spring and summer 2019 seston, excretion, and tissue C:N:P data for quagga mussels (Dreissena rostriformis bugensis) in Lakes Michigan and Huron Dataset Description: <p>Data files for this dataset are made available through the University of Minnesota Libraries Digital Conservancy at the following link (<a href="https://doi.org/10.13020/A6M5-HD07">https://doi.org/10.13020/A6M5-HD07</a>). Data files at the University of Minnesota Library include:</p>
<ul>
<li>Dreissenid (quagga) mussel tissue and excretion C, N, and P data for spring/summer 2019 in Lakes Michigan and Huron - Mussel_Data.csv (63.61Kb)</li>
<li>Site characteristics and location data - Site_Characteristics.csv (9.459Kb)</li>
</ul> Methods and Sampling: <p><strong>Study Location</strong></p>
<p>We sampled 25 locations in Lakes Michigan (17 sites) and Huron (8 sites) during spring (May 24 – 29) and summer (July 31 – August 7) of 2019 (Figure 1, Table S1). Sites ranged from 20m to 130m deep. To account for differences in water chemistry between lake depth regions, sites were designated as ‘shallow’ (30 – 45m), ‘mid-depth’ (46m – 90m), or ‘deep’ (&gt; 90m). Green Bay, with sites ranging 25 – 35m deep, was also considered a separate lake region due to consistent differences in trophic status compared to other locations.</p>
<p>&nbsp;</p>
<p><strong>Site Characterization&nbsp;</strong></p>
<p>At each site we collected water samples from five meters below the surface (“surface”) and two meters above the sediment-water interface (“near-bottom”). Water samples were collected using 12-L Niskin bottles on a Seabird 32 Carousel Rosette sampler. We filtered water samples through GF/F filters to determine particulate organic matter (POC, PON, and PP) concentrations and 0.45μm cellulose nitrate filters for chlorophyll a measurements. Filters for particulate phosphorus (PP) measurements were rinsed with 15 – 20mL 1% HCl and 50mL MilliQ water. All filters were frozen until analysis. We also collected chlorophyll a fluorescence and temperature profiles at each site using a SeaBird Model 911 plus CTD. We measured average dreissenid biomass (g/m2 ) at our sites using underwater video surveys and Ponar grab sampling (see Zalusky 2021 for more detail on mussel survey methods).&nbsp;</p>
<p>&nbsp;</p>
<p><strong>Mussel Collection&nbsp;</strong></p>
<p>We used Ponar grabs to collect mussels for excretion experiments and tissue composition analysis. To minimize stress and damage, we carefully separated mussels from sediment by hand. Mussels were also gently cleansed using a soft-bristled toothbrush to ensure removal of adhering biofilm that might impact respiration and dissolved nutrient measurements. To mimic environmental conditions close to those insitu, we stored mussels in unfiltered near-bottom lake water during processing. Mussels were rinsed with ultrapure MilliQ water before we placed them in incubation chambers for excretion and respiration rate measurements.&nbsp;</p>
<p>&nbsp;</p>
<p><strong>Excretion and Respiration Rate Measurements&nbsp;</strong></p>
<p>Mussel respiration and nutrient (N and P) excretion rates were measured using shipboard incubations. To test for the influence of body size on metabolic rate, at each site we incubated up to 12, 5, and 3 small (&lt; 15.5mm), medium (15.5mm – 25mm), and large (&gt; 25mm) mussels, respectively. Incubations were conducted in acid-cleaned vials with 0.7μm GF/F filtered near-bottom lake water. We used five replicates of each mussel size class (small, medium, large) and incubated three containers without mussels to act as controls (18 vials total). We mostly used 40mL amber glass vials as experimental containers, although a small number of incubations were performed in 60mL falcon tubes when working with very large mussels. Before each incubation began, we determined initial DO concentration and took initial dissolved nutrient samples in duplicate, which we syringe filtered (0.22μm polyethersulfone filter) and froze for later analysis. We then added mussels to the experimental containers, sealed the containers with no headspace for gas exchange, and incubated them for three hours in the dark at 4°C (Ozersky and others 2015; Mosley and Bootsma 2015; Tyner and others 2015; Vanderploeg and others 2017; Zalusky 2021). After three hours, we determined final DO concentrations for each vial and syringe filtered incubation water from each vial (0.22μm polyethersulfone filter) then froze samples for later analysis. We measured DO concentration using a WTW Optical IDS dissolved oxygen sensor (FDO® 925, precision = 0.01mg DO ±1.5%, Wilheim, Germany), paired with a multi-parameter portable meter (MultiLine® Multi 3510 IDS). The DO sensor was rinsed with cold MilliQ water between each measurement. DO concentration did not go below 327μmol O2/L in the incubation vials, indicating no instances of hypoxia. Finally, we froze mussels from all incubations for later analysis.&nbsp;</p>
<p>&nbsp;</p>
<p><strong>Laboratory Methods</strong>&nbsp;</p>
<p><em>Water Chemistry</em>&nbsp;</p>
<p>Total seston POC and PON concentrations of water samples were determined using a Vario EL cube elemental analyzer (Elementar, Langenselbold, Germany). We dried sample filters for 24 hours at 60°C and then encased them in tin capsules for analysis. Water PP was then determined using a SEAL Analytical AQ400 discrete analyzer (Mequon, Wisconsin). We combusted PP sample filters for two hours (550°C) and then digested them using sulfuric acid (10N H2SO4). PP samples were then reacted with acidic molybdate and antimony and reduced by ascorbic acid to form phosphomolybdenum blue, which was measured photometrically (880nm) (modification of US EPA 119-A method, Murphy and Riley 1962). Water column chlorophyll a filters were extracted into 10mL of 90% acetone for 24 hours (Welschmeyer, 1994) and analyzed using a UV-Visible spectrophotometer (Turner Designs, 10-AU, Sunnyvale, CA) at an excitation wavelength of 436nm and 680nm emission. We ran these and other nutrient samples (see below) in duplicate. We measured dissolved N and P (as NH3 + -N and SRP) concentrations in incubation water from mussel excretion experiments using a SEAL Analytical AQ400 discrete analyzer (Mequon, Wisconsin) (alkaline phenate method for NH4 + - EPA-103, acidic molybdate method for SRP - EPA-155). Respiration and excretion rates were determined by normalizing final incubation concentrations to control values, mussel biomass (as SFDM, see next section), and volume of incubation chambers. Values were then divided by the length of incubation time, yielding rates as μmol/g SFDM/h.&nbsp;</p>
<p>&nbsp;</p>
<p><em>Mussel Biomass and Tissue Composition Analysis&nbsp;</em></p>
<p>Mussels were removed from their shells, dried for 24 – 48 hours in a drying oven at 60°C, and weighed to determine total biomass as shell-free dry mass (SFDM) for each incubation replicate. We then combined replicates for each size class at each site and analyzed them in duplicate (C and N) or triplicate (P). Dried tissue was homogenized using a mortar and pestle and stored in a desiccator until we weighed and analyzed them. We then weighed samples of homogenized tissue for POC and PON (target weight 0.6mg) and PP (target weight 1mg) analyses and processed them the same way as our seston samples (see above).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737368 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1737368
completed
Ted Ozersky
University of Minnesota Duluth
2187267492
2205 E. 5th St.
DULUTH
MN
558123024
US
tozersky@d.umn.edu
pointOfContact
Sergei Katsev
University of Minnesota Duluth
218 726 6057
376 Marshall W. Alworth Hall
Duluth
MN
USA
skatsev@d.umn.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Lake
Season
Year
Date
Station_ID
Vial_ID
Vial_Size
Mussel_Size
Individuals
SFDM
tissue_P
tissue_N
tissue_C
SRP
SRP_flux
NH3
NH3_flux
DO_initial
DO_final
Resp_Rate
theme
None, User defined
site description
season
year
date
station id
sample identification
volume
treatment
count
mass_dry
Phosphorus
Nitrogen
biomass_C
SRP
Ammonia
Ammonia (NH3) flux
dissolved Oxygen
respiration rate
featureType
BCO-DMO Standard Parameters
BH18-09
BH19-16
BH19-15
BH19-05
BH19-04
service
Deployment Activity
Lake Superior, Lake Michigan, and Lake Huron
Lake Superior
Lake Michigan
Lakes Superior, Michigan, and Huron
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.
Ecosystem-scale responses of coupled carbon and nutrient cycles to dramatic shifts in benthic communities: The Upper Great Lakes
https://osprey.bco-dmo.org/project/897232
Ecosystem-scale responses of coupled carbon and nutrient cycles to dramatic shifts in benthic communities: The Upper Great Lakes
<p><em>NSF Award Abstract:</em><br />
This project will study the effects of invasive zebra and quagga mussels on the biology and chemistry of the Great Lakes. These mussels have caused unprecedented changes to lake ecosystems, including large shifts in water quality, altered fisheries and diminished recreational opportunities. The mechanisms by which the invasion has affected ecologically important aspects of lake chemistry remain uncertain, making it difficult to predict future changes. This project will quantify how mussels affect sediment and water nutrient chemistry in Lakes Michigan and Huron. Important missing data on altered chemical exchange between sediments and water will be collected to quantify the processes controlling nutrient cycles in the Great Lakes as water moves to the coastal ocean. Development of improved numerical models from this work will allow evaluation of other freshwater and marine systems affected by similar mussel invasions and other stressors. The project will train a post-doctoral researcher and several graduate and undergraduate students in highly interdisciplinary research. Educators and the public at large will be served through creation of freely available, online multimedia content, as well as outreach events at the Duluth Great Lakes Aquarium, the Shedd Aquarium in Chicago, and the Discovery World Science Museum in Milwaukee.</p>
<p>Benthic communities can have large impacts on benthic-pelagic chemical exchanges, but the ecosystem-scale effects of benthos on coupled transformations of carbon, nitrogen, and phosphorus (C-N-P) are rarely addressed and virtually unquantified in freshwaters. The recent invasion of the Laurentian Great Lakes, the world's largest freshwater ecosystem, by dreissenid (zebra and quagga) mussels coincided with massive changes to ecology and water chemistry. Consequences of the invasion include a large and unexplained decline in phosphorus levels, enigmatic reversal of past trends in nitrate levels, and the near-disappearance of native bioturbating Diporeia amphipods. Modeling suggests that nutrient fluxes from sediments could have been strongly affected by shifts in benthic community. Mechanisms explaining these changes, however, remain obscure and thus hamper model predictions of future ecosystem trajectories. Researchers from the Large Lakes Observatory - University of Minnesota Duluth will determine the effects of established dreissenid populations on sediment geochemistry and nutrient dynamics in the Great Lakes by conducting detailed studies in dreissenid-invaded Lakes Michigan and Huron and dreissenid-free Lake Superior. A team of biologists and geochemists will (1) obtain field data to characterize sediment geochemistry of C-N-P, asses rates of biogeochemical processes, and dreissenid effects on chemical and physical properties of sediments, (2) conduct lab experiments to determine how functional traits of sessile dreissenids vs. burrowing Diporeia affect sediment characteristics and chemical fluxes, and (3) use reactive-transport and mass-balance models to understand the whole-lake geochemistry of carbon and nutrients in dreissenid-invaded lakes. This work will advance understanding of the ecology of the great lakes and generally improve models of sediment - water column interactions in aquatic ecosystems.</p>
Great Lakes CNP cycles
largerWorkCitation
project
eng; USA
oceans
Lake Superior, Lake Michigan, and Lake Huron; Lake Superior; Lake Michigan; Lakes Superior, Michigan, and Huron
-92.086815
-82.024474
41.748073
46.986949
2019-05-24
2019-08-07
Upper Laurentian Great Lakes (Lakes Superior, Michigan, Huron)
0
BCO-DMO catalogue of parameters from Spring and summer 2019 seston, excretion, and tissue C:N:P data for quagga mussels (Dreissena rostriformis bugensis) in Lakes Michigan and Huron
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/922924.rdf
Name: Lake
Units: unitless
Description: <p>Lake where sampling occurred (note: Green Bay (GB) is considered separately from Lake Michigan)</p>
http://lod.bco-dmo.org/id/dataset-parameter/922925.rdf
Name: Season
Units: unitless
Description: <p>Season sampling occurred</p>
http://lod.bco-dmo.org/id/dataset-parameter/922926.rdf
Name: Year
Units: unitless
Description: <p>Year sampling occurred</p>
http://lod.bco-dmo.org/id/dataset-parameter/922927.rdf
Name: Date
Units: unitless
Description: <p>Date sampling occurred </p>
http://lod.bco-dmo.org/id/dataset-parameter/922928.rdf
Name: Station_ID
Units: unitless
Description: <p>Name of location where sampling occurred </p>
http://lod.bco-dmo.org/id/dataset-parameter/922929.rdf
Name: Vial_ID
Units: unitless
Description: <p>Sample identification number</p>
http://lod.bco-dmo.org/id/dataset-parameter/922930.rdf
Name: Vial_Size
Units: millileters (mL)
Description: <p>Volume of incubation container used in incubation experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/922931.rdf
Name: Mussel_Size
Units: unitless
Description: <p>Size of mussel included in incubation experiment (initial = initial water sample (no fauna, not incubated), control = water sample after incubation (no fauna))</p>
http://lod.bco-dmo.org/id/dataset-parameter/922932.rdf
Name: Individuals
Units: count
Description: <p>Number of individual mussels in incubation vial</p>
http://lod.bco-dmo.org/id/dataset-parameter/922933.rdf
Name: SFDM
Units: grams (g)
Description: <p>Shell-Free Dry Mass of fauna included in incubation vial</p>
http://lod.bco-dmo.org/id/dataset-parameter/922934.rdf
Name: tissue_P
Units: micromole per milligram (umol/mg)
Description: <p>Amount of phosphorus in dried mussel tissue (SFDM) (umol P/mg SFDM)</p>
http://lod.bco-dmo.org/id/dataset-parameter/922935.rdf
Name: tissue_N
Units: micromole per milligram (umol/mg)
Description: <p>Amount of nitrogen in dried mussel tissue (SFDM) (umol N/mg SFDM)</p>
http://lod.bco-dmo.org/id/dataset-parameter/922936.rdf
Name: tissue_C
Units: micromole per milligram (umol/mg)
Description: <p>Amount of carbon in dried mussel tissue (SFDM) (umol C/mg SFDM)</p>
http://lod.bco-dmo.org/id/dataset-parameter/922937.rdf
Name: SRP
Units: micromole per liter (umol/L)
Description: <p>Soluble reactive phosphorus (SRP) in incubation water at end of incubation (umol P/L)</p>
http://lod.bco-dmo.org/id/dataset-parameter/922938.rdf
Name: SRP_flux
Units: micromole per gram per hour (umol/g*h)
Description: <p>Soluble reactive phosphorus (SRP) in incubation water at end of incubation normalized to control values, mussel SFDM, sample volume, and incubation time</p>
http://lod.bco-dmo.org/id/dataset-parameter/922939.rdf
Name: NH3
Units: micromole per liter (umol/L)
Description: <p>Ammonia in incubation water at end of incubation (umol N/L)</p>
http://lod.bco-dmo.org/id/dataset-parameter/922940.rdf
Name: NH3_flux
Units: micromole per gram per hour (umol/g*h)
Description: <p>Ammonia in incubation water at end of incubation normalized to control values, mussel SFDM, sample volume, and incubation time (umol N/g SFDM*h)</p>
http://lod.bco-dmo.org/id/dataset-parameter/922941.rdf
Name: DO_initial
Units: miligram per liter (mg/L)
Description: <p>Dissolved oxygen concentration in incubation water at start of incubation (mg O2/L)</p>
http://lod.bco-dmo.org/id/dataset-parameter/922942.rdf
Name: DO_final
Units: miligram per liter (mg/L)
Description: <p>Dissolved oxygen concentration in incubation water at end of incubation (mg O2/L)</p>
http://lod.bco-dmo.org/id/dataset-parameter/922943.rdf
Name: Resp_Rate
Units: micromole per gram per hour (umol/g*h)
Description: <p>Amount of CO2 respired during the incubation. Calculated from DO consumption by subtracting initial water column DO concentration from final water column DO concentration and assuming a 1:1 ratio of O2:CO2. Normalized to control values, mussel SFDM, sample volume, and incubation time (umol C/g SFDM*h)</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
https://osprey.bco-dmo.org/dataset/922807/data/download
download
onLine
dataset
<p><strong>Study Location</strong></p>
<p>We sampled 25 locations in Lakes Michigan (17 sites) and Huron (8 sites) during spring (May 24 – 29) and summer (July 31 – August 7) of 2019 (Figure 1, Table S1). Sites ranged from 20m to 130m deep. To account for differences in water chemistry between lake depth regions, sites were designated as ‘shallow’ (30 – 45m), ‘mid-depth’ (46m – 90m), or ‘deep’ (&gt; 90m). Green Bay, with sites ranging 25 – 35m deep, was also considered a separate lake region due to consistent differences in trophic status compared to other locations.</p>
<p>&nbsp;</p>
<p><strong>Site Characterization&nbsp;</strong></p>
<p>At each site we collected water samples from five meters below the surface (“surface”) and two meters above the sediment-water interface (“near-bottom”). Water samples were collected using 12-L Niskin bottles on a Seabird 32 Carousel Rosette sampler. We filtered water samples through GF/F filters to determine particulate organic matter (POC, PON, and PP) concentrations and 0.45μm cellulose nitrate filters for chlorophyll a measurements. Filters for particulate phosphorus (PP) measurements were rinsed with 15 – 20mL 1% HCl and 50mL MilliQ water. All filters were frozen until analysis. We also collected chlorophyll a fluorescence and temperature profiles at each site using a SeaBird Model 911 plus CTD. We measured average dreissenid biomass (g/m2 ) at our sites using underwater video surveys and Ponar grab sampling (see Zalusky 2021 for more detail on mussel survey methods).&nbsp;</p>
<p>&nbsp;</p>
<p><strong>Mussel Collection&nbsp;</strong></p>
<p>We used Ponar grabs to collect mussels for excretion experiments and tissue composition analysis. To minimize stress and damage, we carefully separated mussels from sediment by hand. Mussels were also gently cleansed using a soft-bristled toothbrush to ensure removal of adhering biofilm that might impact respiration and dissolved nutrient measurements. To mimic environmental conditions close to those insitu, we stored mussels in unfiltered near-bottom lake water during processing. Mussels were rinsed with ultrapure MilliQ water before we placed them in incubation chambers for excretion and respiration rate measurements.&nbsp;</p>
<p>&nbsp;</p>
<p><strong>Excretion and Respiration Rate Measurements&nbsp;</strong></p>
<p>Mussel respiration and nutrient (N and P) excretion rates were measured using shipboard incubations. To test for the influence of body size on metabolic rate, at each site we incubated up to 12, 5, and 3 small (&lt; 15.5mm), medium (15.5mm – 25mm), and large (&gt; 25mm) mussels, respectively. Incubations were conducted in acid-cleaned vials with 0.7μm GF/F filtered near-bottom lake water. We used five replicates of each mussel size class (small, medium, large) and incubated three containers without mussels to act as controls (18 vials total). We mostly used 40mL amber glass vials as experimental containers, although a small number of incubations were performed in 60mL falcon tubes when working with very large mussels. Before each incubation began, we determined initial DO concentration and took initial dissolved nutrient samples in duplicate, which we syringe filtered (0.22μm polyethersulfone filter) and froze for later analysis. We then added mussels to the experimental containers, sealed the containers with no headspace for gas exchange, and incubated them for three hours in the dark at 4°C (Ozersky and others 2015; Mosley and Bootsma 2015; Tyner and others 2015; Vanderploeg and others 2017; Zalusky 2021). After three hours, we determined final DO concentrations for each vial and syringe filtered incubation water from each vial (0.22μm polyethersulfone filter) then froze samples for later analysis. We measured DO concentration using a WTW Optical IDS dissolved oxygen sensor (FDO® 925, precision = 0.01mg DO ±1.5%, Wilheim, Germany), paired with a multi-parameter portable meter (MultiLine® Multi 3510 IDS). The DO sensor was rinsed with cold MilliQ water between each measurement. DO concentration did not go below 327μmol O2/L in the incubation vials, indicating no instances of hypoxia. Finally, we froze mussels from all incubations for later analysis.&nbsp;</p>
<p>&nbsp;</p>
<p><strong>Laboratory Methods</strong>&nbsp;</p>
<p><em>Water Chemistry</em>&nbsp;</p>
<p>Total seston POC and PON concentrations of water samples were determined using a Vario EL cube elemental analyzer (Elementar, Langenselbold, Germany). We dried sample filters for 24 hours at 60°C and then encased them in tin capsules for analysis. Water PP was then determined using a SEAL Analytical AQ400 discrete analyzer (Mequon, Wisconsin). We combusted PP sample filters for two hours (550°C) and then digested them using sulfuric acid (10N H2SO4). PP samples were then reacted with acidic molybdate and antimony and reduced by ascorbic acid to form phosphomolybdenum blue, which was measured photometrically (880nm) (modification of US EPA 119-A method, Murphy and Riley 1962). Water column chlorophyll a filters were extracted into 10mL of 90% acetone for 24 hours (Welschmeyer, 1994) and analyzed using a UV-Visible spectrophotometer (Turner Designs, 10-AU, Sunnyvale, CA) at an excitation wavelength of 436nm and 680nm emission. We ran these and other nutrient samples (see below) in duplicate. We measured dissolved N and P (as NH3 + -N and SRP) concentrations in incubation water from mussel excretion experiments using a SEAL Analytical AQ400 discrete analyzer (Mequon, Wisconsin) (alkaline phenate method for NH4 + - EPA-103, acidic molybdate method for SRP - EPA-155). Respiration and excretion rates were determined by normalizing final incubation concentrations to control values, mussel biomass (as SFDM, see next section), and volume of incubation chambers. Values were then divided by the length of incubation time, yielding rates as μmol/g SFDM/h.&nbsp;</p>
<p>&nbsp;</p>
<p><em>Mussel Biomass and Tissue Composition Analysis&nbsp;</em></p>
<p>Mussels were removed from their shells, dried for 24 – 48 hours in a drying oven at 60°C, and weighed to determine total biomass as shell-free dry mass (SFDM) for each incubation replicate. We then combined replicates for each size class at each site and analyzed them in duplicate (C and N) or triplicate (P). Dried tissue was homogenized using a mortar and pestle and stored in a desiccator until we weighed and analyzed them. We then weighed samples of homogenized tissue for POC and PON (target weight 0.6mg) and PP (target weight 1mg) analyses and processed them the same way as our seston samples (see above).</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
Cruise: BH18-09
BH18-09
R/V Blue Heron
Community Standard Description
International Council for the Exploration of the Sea
R/V Blue Heron
vessel
BH18-09
Ted Ozersky
University of Minnesota Duluth
Cruise: BH19-16
BH19-16
R/V Blue Heron
Community Standard Description
International Council for the Exploration of the Sea
R/V Blue Heron
vessel
BH19-16
Ted Ozersky
University of Minnesota Duluth
Cruise: BH19-15
BH19-15
R/V Blue Heron
Community Standard Description
International Council for the Exploration of the Sea
R/V Blue Heron
vessel
BH19-15
Ted Ozersky
University of Minnesota Duluth
Cruise: BH19-05
BH19-05
R/V Blue Heron
Community Standard Description
International Council for the Exploration of the Sea
R/V Blue Heron
vessel
Cruise: BH19-04
BH19-04
R/V Blue Heron
Community Standard Description
International Council for the Exploration of the Sea
R/V Blue Heron
vessel
R/V Blue Heron
Community Standard Description
International Council for the Exploration of the Sea
R/V Blue Heron
vessel