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Dataset Title:  Growth data from static and fluctuating pCO2 x dissolved oxygen (DO)
experiments on Menidia menidia
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_777130)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Experiment (unitless) ?          "Four"    "Two"
 Treatment (unitless) ?          "Control pCO2-Hypoxic"    "Intermediate pCO2-..."
 Cycling_pattern (unitless) ?          "Large Diel Fluctua..."    "Tidal Fluctuation"
 Tank_No (unitless) ?          1    9
 Hatch_length (millimeters (mm)) ?          4.1    5.6
 Hatch_length_SE (millimeters (mm)) ?          0.02    0.05
 Mean_growth_rate (millimeters per day (mm day-1)) ?          0.18    0.72
 Mean_growth_rate_SE (millimeters per day (mm day-1)) ?          0.01    0.06
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Experiment {
    String bcodmo_name "exp_id";
    String description "Experiment number";
    String long_name "Experiment";
    String units "unitless";
  }
  Treatment {
    String bcodmo_name "treatment";
    String description "Experimental treatment/conditions";
    String long_name "Treatment";
    String units "unitless";
  }
  Cycling_pattern {
    String bcodmo_name "treatment";
    String description "Experimental cycling pattern";
    String long_name "Cycling Pattern";
    String units "unitless";
  }
  Tank_No {
    Byte _FillValue 127;
    Byte actual_range 1, 9;
    String bcodmo_name "tank";
    String description "Tank number";
    String long_name "Tank No";
    String units "unitless";
  }
  Hatch_length {
    Float32 _FillValue NaN;
    Float32 actual_range 4.1, 5.6;
    String bcodmo_name "length";
    String description "Mean size at hatch measured from calibrated images on ImagePRO of a subsample of 10 newly hatched larvae.";
    String long_name "Hatch Length";
    String units "millimeters (mm)";
  }
  Hatch_length_SE {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02, 0.05;
    String bcodmo_name "length";
    String description "Standard error of Hatch_length";
    String long_name "Hatch Length SE";
    String units "millimeters (mm)";
  }
  Mean_growth_rate {
    Float32 _FillValue NaN;
    Float32 actual_range 0.18, 0.72;
    String bcodmo_name "growth";
    String description "Mean post-hatch growth rates to 6/15 days post hatch measured by the difference between the mean size at 6/15dph and the mean size at 0dph measured from calibrated images on ImagePRO.";
    String long_name "Mean Growth Rate";
    String units "millimeters per day (mm day-1)";
  }
  Mean_growth_rate_SE {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 0.06;
    String bcodmo_name "growth";
    String description "Standard error of Mean_growth_rate";
    String long_name "Mean Growth Rate SE";
    String units "millimeters per day (mm day-1)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Wild adults were collected using a 30 x 2 m beach seine and strip-spawned in
the laboratory the following day. 100 embryos were then placed in each
replicate across 9 recirculating systems of different pCO2 x DO conditions
(control, intermediate, extreme) and cycling patterns (static, small diel
fluctuation, large diel fluctuation and tidal fluctuation).
 
pCO2 x DO conditions were measured every hour for each tank and adjusted to
the pre-determined conditions via the injection of carbon dioxide, nitrogen
gas and/or CO2-stripped air.\\u00a0LabView software (National Instruments) was
used to control sampling pumps and gas and water solenoids.
 
Newly hatched larvae were counted each day with a subsample of 10 larvae
preserved in 5% formalin on the first day of hatching to obtain a size at
hatch measurements. All surviving larvae to 6 or 15 day post hatch were
counted and preserved in 5% formalin. Length measurements were then conducted
on calibrated images in ImagePRO up to a month after the end of the
experiment.\\u00a0For more details please see Cross et al. (submitted).";
    String awards_0_award_nid "650191";
    String awards_0_award_number "OCE-1536165";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1536165";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Michael E. Sieracki";
    String awards_0_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"Growth data  
   from static and fluctuating pCO2 x dissolved oxygen (DO) experiments on Menidia menidia 
  PI: Hannes Baumann (UConn) 
  Co-PI: Emma Cross (UConn) 
  Version date: 20-Sept-2019";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2019-09-20T15:41:45Z";
    String date_modified "2019-10-31T17:51:32Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.777130.1";
    String history 
"2020-08-05T19:55:16Z (local files)
2020-08-05T19:55:16Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_777130.html";
    String infoUrl "https://www.bco-dmo.org/dataset/777130";
    String institution "BCO-DMO";
    String instruments_0_acronym "Water Temp Sensor";
    String instruments_0_dataset_instrument_description "Temperature - Aqualogic thermostats connected to submersible heaters and chillers (Deltastar)";
    String instruments_0_dataset_instrument_nid "777138";
    String instruments_0_description "General term for an instrument that measures the temperature of the water with which it is in contact (thermometer).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/134/";
    String instruments_0_instrument_name "Water Temperature Sensor";
    String instruments_0_instrument_nid "647";
    String instruments_0_supplied_name "Aqualogic Deltastar";
    String instruments_1_acronym "pH Sensor";
    String instruments_1_dataset_instrument_description "pHNIST - Hach pHD digital electrode - calibrated twice weekly using NIST 2-point pH buffers";
    String instruments_1_dataset_instrument_nid "777136";
    String instruments_1_description "General term for an instrument that measures the pH or how acidic or basic a solution is.";
    String instruments_1_instrument_name "pH Sensor";
    String instruments_1_instrument_nid "674";
    String instruments_1_supplied_name "Hach pHD digital electrode";
    String instruments_2_acronym "Automatic titrator";
    String instruments_2_dataset_instrument_description "Alkalinity – Metler Toledo G20 Potentiometric Titrator calibrated with certified reference material from Dr. Andrew Dickson, University of California San Diego";
    String instruments_2_dataset_instrument_nid "777139";
    String instruments_2_description "Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB12/";
    String instruments_2_instrument_name "Automatic titrator";
    String instruments_2_instrument_nid "682";
    String instruments_2_supplied_name "Metler Toledo G20 Potentiometric Titrator";
    String instruments_3_acronym "Dissolved Oxygen Sensor";
    String instruments_3_dataset_instrument_description "Dissolved oxygen (DO) – Optical DO probe (Hach LDO Model 2)";
    String instruments_3_dataset_instrument_nid "777137";
    String instruments_3_description "An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed";
    String instruments_3_instrument_name "Dissolved Oxygen Sensor";
    String instruments_3_instrument_nid "705";
    String instruments_3_supplied_name "Hach LDO Model 2";
    String keywords "bco, bco-dmo, biological, chemical, cycling, Cycling_pattern, data, dataset, dmo, erddap, experiment, growth, hatch, Hatch_length, Hatch_length_SE, length, management, mean, Mean_growth_rate, Mean_growth_rate_SE, oceanography, office, pattern, preliminary, rate, tank, Tank_No, treatment";
    String license "https://www.bco-dmo.org/dataset/777130/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/777130";
    String param_mapping "{'777130': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/777130/parameters";
    String people_0_affiliation "University of Connecticut";
    String people_0_affiliation_acronym "UConn";
    String people_0_person_name "Hannes Baumann";
    String people_0_person_nid "528586";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Connecticut";
    String people_1_affiliation_acronym "UConn";
    String people_1_person_name "Emma L. Cross";
    String people_1_person_nid "777121";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of Connecticut";
    String people_2_affiliation_acronym "UConn";
    String people_2_person_name "Christopher S. Murray";
    String people_2_person_nid "742121";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "University of Connecticut";
    String people_3_affiliation_acronym "UConn";
    String people_3_person_name "Emma L. Cross";
    String people_3_person_nid "777121";
    String people_3_role "Contact";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Shannon Rauch";
    String people_4_person_nid "51498";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "HYPOA";
    String projects_0_acronym "HYPOA";
    String projects_0_description 
"Description from NSF award abstract:
Coastal marine ecosystems provide a number of important services and resources for humans, and at the same time, coastal waters are subject to environmental stressors such as increases in ocean acidification and reductions in dissolved oxygen. The effects of these stressors on coastal marine organisms remain poorly understood because most research to date has examined the sensitivity of species to one factor, but not to more than one in combination. This project will determine how a model fish species, the Atlantic silverside, will respond to observed and predicted levels of dissolved carbon dioxide (CO2) and oxygen (O2). Shorter-term experiments will measure embryo and larval survival, growth, and metabolism, and determine whether parents experiencing stressful conditions produce more robust offspring. Longer-term experiments will study the consequences of ocean acidification over the entire life span by quantifying the effects of high-CO2 conditions on the ratio of males to females, lifetime growth, and reproductive investment. These studies will provide a more comprehensive view of how multiple stressors may impact populations of Atlantic silversides and potentially other important forage fish species. This collaborative project will support and train three graduate students at the University of Connecticut and the Stony Brook University (NY), two institutions that attract students from minority groups. It will also provide a variety of opportunities for undergraduates to participate in research and the public to learn about the study, through summer research projects, incorporation in the \"Women in Science and Engineering\" program, and interactive displays of environmental data from monitoring buoys. The two early-career investigators are committed to increasing ocean literacy and awareness of NSF-funded research through public talks and presentations.
This project responds to the recognized need for multi-stressor assessments of species sensitivities to anthropogenic environmental change. It will combine environmental monitoring with advanced experimental approaches to characterize early and whole life consequences of acidification and hypoxia in the Atlantic silverside (Menidia menidia), a valued model species and important forage fish along most of the US east coast. Experiments will employ a newly constructed, computer-controlled fish rearing system to allow independent and combined manipulation of seawater pCO2 and dissolved oxygen (DO) content and the application of static and fluctuating pCO2 and DO levels that were chosen to represent contemporary and potential future scenarios in productive coastal habitats. First CO2, DO, and CO2 × DO dependent reaction norms will be quantified for fitness-relevant early life history (ELH) traits including pre- and post-hatch survival, time to hatch, post-hatch growth, by rearing offspring collected from wild adults from fertilization to 20 days post hatch (dph) using a full factorial design of 3 CO2 × 3 DO levels. Second, the effects of tidal and diel CO2 × DO fluctuations of different amplitudes on silverside ELH traits will be quantified. To address knowledge gaps regarding the CO2-sensitivity in this species, laboratory manipulations of adult spawner environments and reciprocal offspring exposure experiments will elucidate the role of transgenerational plasticity as a potential short-term mechanism to cope with changing environments. To better understand the mechanisms of fish early life CO2-sensitivity, the effects of temperature × CO2 on pre- and post-hatch metabolism will be robustly quantified. The final objective is to rear silversides from fertilization to maturity under different CO2 levels and assess potential CO2-effects on sex ratio and whole life growth and fecundity.
Related references:
Gobler, C.J. and Baumann, H. (2016) Hypoxia and acidification in ocean ecosystems: Coupled dynamics and effects on marine life. Biology Letters 12:20150976. doi:10.1098/rsbl.2015.0976
Baumann, H. (2016) Combined effects of ocean acidification, warming, and hypoxia on marine organisms. Limnology and Oceanography e-Lectures 6:1-43. doi:10.1002/loe2.10002
Depasquale, E., Baumann, H., and Gobler, C.J. (2015) Variation in early life stage vulnerability among Northwest Atlantic estuarine forage fish to ocean acidification and low oxygen Marine Ecology Progress Series 523: 145–156.doi:10.3354/meps11142";
    String projects_0_end_date "2018-11";
    String projects_0_geolocation "Eastern Long Island Sound, CT, USA";
    String projects_0_name "Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish";
    String projects_0_project_nid "650184";
    String projects_0_start_date "2015-12";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Coastal ecosystems experience substantial natural fluctuations in pCO2 and dissolved oxygen (DO) conditions on diel, tidal, seasonal and interannual timescales. Rising carbon dioxide emissions and anthropogenic nutrient input are expected to increase these pCO2 and DO cycles in severity and duration of acidification and hypoxia. How coastal marine organisms respond to natural pCO2 \\u00d7 DO variability and future climate change remains largely unknown. Here, we assess the impact of static and cycling pCO2 \\u00d7 DO conditions of various magnitudes and frequencies on early life survival and growth of an important coastal forage fish, Menidia menidia. Static low DO conditions severely decreased embryo survival, larval survival, time to 50% hatch, size at hatch and post-larval growth rates. Static elevated pCO2 did not affect most response traits, however, a synergistic negative effect did occur on embryo survival under hypoxic conditions (3.0 mg L-1). Cycling pCO2 \\u00d7 DO, however, reduced these negative effects of static conditions on all response traits with the magnitude of fluctuations influencing the extent of this reduction. This indicates that fluctuations in pCO2 and DO may benefit coastal organisms by providing periodic physiological refuge from stressful conditions, which could promote species adaptability to climate change.";
    String title "Growth data from static and fluctuating pCO2 x dissolved oxygen (DO) experiments on Menidia menidia";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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