http://lod.bco-dmo.org/id/dataset/871765
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
2022-03-18
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Temperature and pCO2 effects on survivability of 25 genotypes of Acropora cervicornis coral at Mote Marine Laboratory in Nov-Dec 2019
2022-03-18
publication
2022-03-18
revision
BCO-DMO Linked Data URI
2022-03-18
creation
http://lod.bco-dmo.org/id/dataset/871765
Erinn M. Muller
Mote Marine Laboratory
principalInvestigator
Chelsea Petrik
Mote Marine Laboratory
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: Muller, E. M., Petrik, C. (2022) Temperature and pCO2 effects on survivability of 25 genotypes of Acropora cervicornis coral at Mote Marine Laboratory in Nov-Dec 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-03-18 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/871765 [access date]
Methods and Sampling: <p>A full&nbsp;factorial experiment was completed to determine the survival probability and photochemical efficiency of 25 unique genotypes of&nbsp;<em>Acropora&nbsp;cervicornis</em>&nbsp;in high temperature, high&nbsp;<em>p</em>CO<sub>2</sub>&nbsp;treatment, or the combination of high temperature and high pCO2.</p>
<ul>
<li>High temperature&nbsp;was 33 ± 0.6<span style="color:rgb(0, 0, 0); font-family:helvetica,arial,sans-serif; font-size:14.4px">°C and&nbsp;</span>463 ± 31 µatm</li>
<li>High&nbsp;<em>p</em>CO<sub>2</sub>&nbsp;treatment was 29 ± 0.2<span style="color:rgb(0, 0, 0); font-family:helvetica,arial,sans-serif; font-size:14.4px">°C and&nbsp;</span>798 ± 78 µatm</li>
<li>Combination high temperature and&nbsp;high pCO2 was 33 ± 0.8<span style="color:rgb(0, 0, 0); font-family:helvetica,arial,sans-serif; font-size:14.4px">°C and&nbsp;</span>823 ± 83 µatm&nbsp;</li>
</ul>
<p>Prior to exposure, dark-acclimated photochemical efficiency&nbsp;was measured in all fragments (n=600) using a pulse amplitude modulation chlorophyll fluorometer (I-PAM, Walz GmbH, Effeltrich, Germany). Photochemical efficiency factors include:</p>
<ul>
<li>ETR&nbsp;<sub>(max)</sub></li>
<li>F<sub>v</sub>/F<sub>m</sub>&nbsp;<sub>(max)</sub></li>
<li>Initial slope of ETR v. PAR plot</li>
</ul>
<p>Additionally, the starting color index was gathered for each fragment based on the coral health chart provided by CoralWatch.&nbsp; The starting colors ranged from&nbsp;D1 for bleached to D5 for full color/healthy. During the exposure period, water quality for each tank was measured daily and color index was assessed daily for all fragments. Water samples were collected in acid-washed amber bottles (125 mL) for carbonate chemistry analysis bi-weekly and fixed with mercuric chloride (60 µL). Water samples were filtered (0.2 microns) prior to analysis on the dissolved inorganic carbon (DIC) machine (Apollo SciTech Analyzer).</p>
<p>As replicates started to show signs of stress (paling activity) and subsequent mortality, the following was recorded:</p>
<ul>
<li>the date of mortality,</li>
<li>the time (days) till mortality,</li>
<li>the mechanism of mortality (i.e. showed signs of Tissue loss, Bleaching, or both occurring simultaneously)</li>
</ul>
<p>Each replicate coral was categorized as a binomial rank, classified as either 0, no event/alive, or a 1, event occurred/dead, on each day of the study. As coral fragments reached mortality, they were removed from their treatment tank to limit negative effects on the remaining fragments in the tank. Once LD50 was reached for each genotype in each treatment, the dark-acclimated PAM Chlorophyll Fluorometry outputs (ETR&nbsp;<sub>(max)</sub>, F<sub>v</sub>/F<sub>m</sub>&nbsp;<sub>(max)</sub>, and initial slope of ETR v. PAR plot) was measured for the remaining fragments of that genotype in that same treatment to derive change of yield over time.</p>
<p>Treatment tank water quality was monitored using a YSI Professional Plus (Pro Plus) Multi-parameter handheld with a quarto containing a Pro Series Galvanic Dissolved Oxygen Sensor, a Pro Series pH Sensor (calibrated using 4, 7, and 10 buffers), Pro Series temperature and conductivity sensor. PAR was measured using the Licor handheld (Li-COR LI-1500) with an underwater quantum senor (Li-Cor LI-192). Dissolved inorganic carbon (DIC) was analyzed using the Apollo SciTech DIC analyzer model AS-C151. Total Alkalinity (TA) was analyzed using the Metrohm 905 Titrando analyzer. Both DIC and TA were standardized each day with certified reference material (CRM) provided by A.G. Dickson. Imaging-PAM Chlorophyll flurometer (Walz GmbH, Effeltrich, Germany) was used to measure photochemical efficiencies and the coral health chart/ color index card was provided by CoralWatch.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1452538 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1452538
onGoing
Erinn M. Muller
Mote Marine Laboratory
941-388-4441 x 310
1600 Ken Thompson Parkway
Sarasota
FL
34241
USA
emuller@mote.org
pointOfContact
Chelsea Petrik
Mote Marine Laboratory
cpetrik@mote.org
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Latitude
Longitude
Tank_num
Genotype
Genotype_ID
Replicate
Temp_treatment
pCO2_treatment
Outcome
Start_Date
Mortality_Date
Time_till_mortality
Mechanism_of_Mortality
Pre_Exposure_ETR
Post_Exposure_ETR
Change_in_ETR
Pre_Exposure_Initial_Slope
Post_Exposure_Initial_Slope
Change_in_Initial_Slope
Pre_Exposure_Fv_Fm
Post_Exposure_Fv_Fm
Change_in_Fv_Fm
treatment tanks
Walz imaging pulse amplitude modulation chlorophyll fluorometer
Apollo SciTech DIC analyzer model AS-C151
LI-COR LI-192 underwater quantum sensor
LI-COR handheld (Li-COR LI-1500)
Metrohm 905 Titrando analyzer
YSI Professional Plus (Pro Plus) Multi-parameter handheld
theme
None, User defined
latitude
longitude
tank
sample type
sample identification
replicate
treatment
brief description
date begin
date end
duration
Electron Transport Rate (ETR)
No BCO-DMO term
Fv to Fm ratio
featureType
BCO-DMO Standard Parameters
Aquarium
Fluorometer
Inorganic Carbon Analyzer
LI-COR LI-192 PAR Sensor
Photosynthetically Available Radiation Sensor
Titrator
YSI Professional Plus Multi-Parameter Probe
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: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys
https://osprey.bco-dmo.org/project/642850
CAREER: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys
<p><em>NSF Award Abstract:</em><br />
Caribbean staghorn coral was one of the most common corals within reefs of the Florida Keys several decades ago. Over the last 40 years disease, bleaching, overfishing and habitat degradation caused a 95% reduction of the population. Staghorn coral is now listed as threatened under the U.S. Endangered Species Act of 1973. Within the past few years, millions of dollars have been invested for the purpose of restoring the population of staghorn coral within Florida and the U.S. Virgin Islands. Significant effort has been placed on maintaining and propagating corals of known genotypes within coral nurseries for the purpose of outplanting. However, little is known about the individual genotypes that are currently being outplanted from nurseries onto coral reefs. Are the genotypes being used for outplanting resilient enough to survive the three major stressors affecting the population in the Florida Keys: disease, high water temperatures, and ocean acidification? The research within the present study will be the first step in answering this critically important question. The funded project will additionally develop a research-based afterschool program with K-12 students in the Florida Keys and U.S. Virgin Islands that emphasizes an inquiry-based curriculum, STEM research activities, and peer-to-peer mentoring. The information from the present study will help scientists predict the likelihood of species persistence within the lower Florida Keys under future climate-change and ocean-acidification scenarios. Results of this research will also help guide restoration efforts throughout Florida and the Caribbean, and lead to more informative, science-based restoration activities.</p>
<p><em>Acropora cervicornis</em> dominated shallow-water reefs within the Florida Keys for at least the last half a million years, but the population has recently declined due to multiple stressors. Understanding the current population level of resilience to three major threats - disease outbreaks, high water temperatures, and ocean acidification conditions - is critical for the preservation of this threatened species. Results from the present study will answer the primary research question: will representative genotypes from the lower Florida Keys provide enough phenotypic variation for this threatened species to survive in the future? The present proposal will couple controlled laboratory challenge experiments with field data and modeling applications, and collaborate with local educators to fulfill five objectives: 1) identify <em>A. cervicornis</em> genotypes resistant to disease, 2) identify <em>A. cervicornis</em> genotypes resilient to high water temperature and ocean acidification conditions, 3) quantify how high water temperature and ocean acidification conditions impact disease dynamics on <em>A. cervicornis</em>; 4) determine tradeoffs in life-history traits because of resilience factors; and 5) apply a trait-based model, which will predict genotypic structure of a population under different environmental scenarios.</p>
Resilient Acerv
largerWorkCitation
project
eng; USA
biota
climatologyMeteorologyAtmosphere
oceans
-81.4541
-81.4541
24.6616
24.6616
2019-11-18
2019-12-19
Florida Keys, Summerland Key, FL 24.563595°, -81.278572°
0
BCO-DMO catalogue of parameters from Temperature and pCO2 effects on survivability of 25 genotypes of Acropora cervicornis coral at Mote Marine Laboratory in Nov-Dec 2019
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/873356.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/873357.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/873358.rdf
Name: Tank_num
Units: unitless
Description: <p>Number of assigned tank for experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/873359.rdf
Name: Genotype
Units: unitless
Description: <p>Number of coral genotype</p>
http://lod.bco-dmo.org/id/dataset-parameter/873360.rdf
Name: Genotype_ID
Units: unitless
Description: <p>Initials of genus and species plus genotype number</p>
http://lod.bco-dmo.org/id/dataset-parameter/873361.rdf
Name: Replicate
Units: unitless
Description: <p>Number of replicate assigned</p>
http://lod.bco-dmo.org/id/dataset-parameter/873362.rdf
Name: Temp_treatment
Units: unitless
Description: <p>Aquarium temperature conditions (ambient or high temperature)</p>
http://lod.bco-dmo.org/id/dataset-parameter/873363.rdf
Name: pCO2_treatment
Units: unitless
Description: <p>Aquarium pCO2 conditions (ambient or high pCO2)</p>
http://lod.bco-dmo.org/id/dataset-parameter/873364.rdf
Name: Outcome
Units: unitless
Description: <p>Status of the coral replicate at the end of the experiment (i.e. Dead, Pale, Sampled, Alive)</p>
http://lod.bco-dmo.org/id/dataset-parameter/873365.rdf
Name: Start_Date
Units: unitless
Description: <p>Start date of experiment when corals were put into aquariums</p>
http://lod.bco-dmo.org/id/dataset-parameter/873366.rdf
Name: Mortality_Date
Units: unitless
Description: <p>Date when mortality occurred</p>
http://lod.bco-dmo.org/id/dataset-parameter/873367.rdf
Name: Time_till_mortality
Units: days
Description: <p>Time in days from start date of experiment until date of mortality</p>
http://lod.bco-dmo.org/id/dataset-parameter/873368.rdf
Name: Mechanism_of_Mortality
Units: unitless
Description: <p>Cause of the mortality (TR=tissue loss, X=signs of paling before tissue loss, Y=tissue loss before showing signs of paling, A=abrupt bleaching, B=bleached)</p>
http://lod.bco-dmo.org/id/dataset-parameter/873369.rdf
Name: Pre_Exposure_ETR
Units: unitless
Description: <p>Electron transport rate (ETR) prior to exposure to treatments</p>
http://lod.bco-dmo.org/id/dataset-parameter/873370.rdf
Name: Post_Exposure_ETR
Units: unitless
Description: <p>Electron transport rate (ETR) after exposure to treatments</p>
http://lod.bco-dmo.org/id/dataset-parameter/873371.rdf
Name: Change_in_ETR
Units: unitless
Description: <p>Difference in electron transport rate (ETR) between pre and post exposure</p>
http://lod.bco-dmo.org/id/dataset-parameter/873372.rdf
Name: Pre_Exposure_Initial_Slope
Units: unitless
Description: <p>Initial slope of ETR vs. PAR plot using values prior to exposure to treatments</p>
http://lod.bco-dmo.org/id/dataset-parameter/873373.rdf
Name: Post_Exposure_Initial_Slope
Units: unitless
Description: <p>Initial slope of ETR vs. PAR plot using value after exposure to treatments</p>
http://lod.bco-dmo.org/id/dataset-parameter/873374.rdf
Name: Change_in_Initial_Slope
Units: unitless
Description: <p>Difference in initial slope between pre and post exposure</p>
http://lod.bco-dmo.org/id/dataset-parameter/873375.rdf
Name: Pre_Exposure_Fv_Fm
Units: unitless
Description: <p>Maximum quantum yield (Fv/Fm) prior to exposure to treatments</p>
http://lod.bco-dmo.org/id/dataset-parameter/873376.rdf
Name: Post_Exposure_Fv_Fm
Units: unitless
Description: <p>Maximum quantum yield (Fv/Fm) after exposure to treatments</p>
http://lod.bco-dmo.org/id/dataset-parameter/873377.rdf
Name: Change_in_Fv_Fm
Units: unitless
Description: <p>Difference in maximum quantum yield (Fv/Fm) between pre and post exposure</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/871765/data/download
download
onLine
dataset
<p>A full&nbsp;factorial experiment was completed to determine the survival probability and photochemical efficiency of 25 unique genotypes of&nbsp;<em>Acropora&nbsp;cervicornis</em>&nbsp;in high temperature, high&nbsp;<em>p</em>CO<sub>2</sub>&nbsp;treatment, or the combination of high temperature and high pCO2.</p>
<ul>
<li>High temperature&nbsp;was 33 ± 0.6<span style="color:rgb(0, 0, 0); font-family:helvetica,arial,sans-serif; font-size:14.4px">°C and&nbsp;</span>463 ± 31 µatm</li>
<li>High&nbsp;<em>p</em>CO<sub>2</sub>&nbsp;treatment was 29 ± 0.2<span style="color:rgb(0, 0, 0); font-family:helvetica,arial,sans-serif; font-size:14.4px">°C and&nbsp;</span>798 ± 78 µatm</li>
<li>Combination high temperature and&nbsp;high pCO2 was 33 ± 0.8<span style="color:rgb(0, 0, 0); font-family:helvetica,arial,sans-serif; font-size:14.4px">°C and&nbsp;</span>823 ± 83 µatm&nbsp;</li>
</ul>
<p>Prior to exposure, dark-acclimated photochemical efficiency&nbsp;was measured in all fragments (n=600) using a pulse amplitude modulation chlorophyll fluorometer (I-PAM, Walz GmbH, Effeltrich, Germany). Photochemical efficiency factors include:</p>
<ul>
<li>ETR&nbsp;<sub>(max)</sub></li>
<li>F<sub>v</sub>/F<sub>m</sub>&nbsp;<sub>(max)</sub></li>
<li>Initial slope of ETR v. PAR plot</li>
</ul>
<p>Additionally, the starting color index was gathered for each fragment based on the coral health chart provided by CoralWatch.&nbsp; The starting colors ranged from&nbsp;D1 for bleached to D5 for full color/healthy. During the exposure period, water quality for each tank was measured daily and color index was assessed daily for all fragments. Water samples were collected in acid-washed amber bottles (125 mL) for carbonate chemistry analysis bi-weekly and fixed with mercuric chloride (60 µL). Water samples were filtered (0.2 microns) prior to analysis on the dissolved inorganic carbon (DIC) machine (Apollo SciTech Analyzer).</p>
<p>As replicates started to show signs of stress (paling activity) and subsequent mortality, the following was recorded:</p>
<ul>
<li>the date of mortality,</li>
<li>the time (days) till mortality,</li>
<li>the mechanism of mortality (i.e. showed signs of Tissue loss, Bleaching, or both occurring simultaneously)</li>
</ul>
<p>Each replicate coral was categorized as a binomial rank, classified as either 0, no event/alive, or a 1, event occurred/dead, on each day of the study. As coral fragments reached mortality, they were removed from their treatment tank to limit negative effects on the remaining fragments in the tank. Once LD50 was reached for each genotype in each treatment, the dark-acclimated PAM Chlorophyll Fluorometry outputs (ETR&nbsp;<sub>(max)</sub>, F<sub>v</sub>/F<sub>m</sub>&nbsp;<sub>(max)</sub>, and initial slope of ETR v. PAR plot) was measured for the remaining fragments of that genotype in that same treatment to derive change of yield over time.</p>
<p>Treatment tank water quality was monitored using a YSI Professional Plus (Pro Plus) Multi-parameter handheld with a quarto containing a Pro Series Galvanic Dissolved Oxygen Sensor, a Pro Series pH Sensor (calibrated using 4, 7, and 10 buffers), Pro Series temperature and conductivity sensor. PAR was measured using the Licor handheld (Li-COR LI-1500) with an underwater quantum senor (Li-Cor LI-192). Dissolved inorganic carbon (DIC) was analyzed using the Apollo SciTech DIC analyzer model AS-C151. Total Alkalinity (TA) was analyzed using the Metrohm 905 Titrando analyzer. Both DIC and TA were standardized each day with certified reference material (CRM) provided by A.G. Dickson. Imaging-PAM Chlorophyll flurometer (Walz GmbH, Effeltrich, Germany) was used to measure photochemical efficiencies and the coral health chart/ color index card was provided by CoralWatch.</p>
Specified by the Principal Investigator(s)
<p>Kaplan Meier curves and log rank scores were used to assess the difference in survivorship among genotypes, regions, and treatments. If assumptions were met, ANOVA and Tukeys post-hoc test was used to measure the effect of Genotype, Region, and Treatment (singularly and interaction effect) on photochemical efficiencies; tank number as a random factor. Normality and equality of variances were checked using Shapiro-wilks test and Levene’s test, respectively. If assumptions were not met, a Kruskal Wallis test and Dunn’s post-hoc test was used. Chi squared test was used to assess the independence between the frequency of each mechanism of mortality and Treatment and/or Region. If assumptions were not met, a Fishers exact test was used. All statistical analysis was completed in R version 4.0.3.</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
treatment tanks
treatment tanks
PI Supplied Instrument Name: treatment tanks PI Supplied Instrument Description:Coral fragments were placed into treatment tanks (raceways) 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
Walz imaging pulse amplitude modulation chlorophyll fluorometer
Walz imaging pulse amplitude modulation chlorophyll fluorometer
PI Supplied Instrument Name: Walz imaging pulse amplitude modulation chlorophyll fluorometer PI Supplied Instrument Description:Photochemical efficiencies in coral fragments were measured using an Imaging Pulse Amplitude Modulation (I-PAM) Chlorophyll fluorometer from Walz GmbH (Effeltrich, Germany) Instrument Name: Fluorometer Instrument Short Name:Fluorometer Instrument Description: A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/113/
Apollo SciTech DIC analyzer model AS-C151
Apollo SciTech DIC analyzer model AS-C151
PI Supplied Instrument Name: Apollo SciTech DIC analyzer model AS-C151 PI Supplied Instrument Description:Dissolved inorganic carbon (DIC) was analyzed using the Apollo SciTech DIC analyzer model AS-C151. Instrument Name: Inorganic Carbon Analyzer Instrument Short Name: Instrument Description: Instruments measuring carbonate in sediments and inorganic carbon (including DIC) in the water column.
LI-COR LI-192 underwater quantum sensor
LI-COR LI-192 underwater quantum sensor
PI Supplied Instrument Name: LI-COR LI-192 underwater quantum sensor PI Supplied Instrument Description:PAR was measured using the Licor handheld (Li-COR LI-1500) with an underwater quantum senor (Li-Cor LI-192). Instrument Name: LI-COR LI-192 PAR Sensor Instrument Short Name:LI-COR LI-192 PAR Instrument Description: The LI-192 Underwater Quantum Sensor (UWQ) measures underwater or atmospheric Photon Flux Density (PPFD) (Photosynthetically Available Radiation from 360 degrees) using a Silicon Photodiode and glass filters encased in a waterproof housing. The LI-192 is cosine corrected and features corrosion resistant, rugged construction for use in freshwater or saltwater and pressures up to 800 psi (5500 kPa, 560 meters depth). Typical output is in um s-1 m-2. The LI-192 uses computer-tailored filter glass to achieve the desired quantum response. Calibration is traceable to NIST. The LI-192 serial numbers begin with UWQ-XXXXX. LI-COR has been producing Underwater Quantum Sensors since 1973.
These LI-192 sensors are typically listed as LI-192SA to designate the 2-pin connector on the base of the housing and require an Underwater Cable (LI-COR part number 2222UWB) to connect to the pins on the Sensor and connect to a data recording device.
The LI-192 differs from the LI-193 primarily in sensitivity and angular response.
193: Sensitivity: Typically 7 uA per 1000 umol s-1 m-2 in water. Azimuth: < ± 3% error over 360° at 90° from normal axis. Angular Response: < ± 4% error up to ± 90° from normal axis.
192: Sensitivity: Typically 4 uA per 1000 umol s-1 m-2 in water. Azimuth: < ± 1% error over 360° at 45° elevation. Cosine Correction: Optimized for underwater and atmospheric use.
(www.licor.com) Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0120/
LI-COR handheld (Li-COR LI-1500)
LI-COR handheld (Li-COR LI-1500)
PI Supplied Instrument Name: LI-COR handheld (Li-COR LI-1500) PI Supplied Instrument Description:PAR was measured using the Licor handheld (Li-COR LI-1500) with an underwater quantum senor (Li-Cor LI-192). Instrument Name: Photosynthetically Available Radiation Sensor Instrument Short Name:PAR sensor Instrument Description: A PAR sensor measures photosynthetically available (or active) radiation. The sensor measures photon flux density (photons per second per square meter) within the visible wavelength range (typically 400 to 700 nanometers). PAR gives an indication of the total energy available to plants for photosynthesis. This instrument name is used when specific type, make and model are not known. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/122/
Metrohm 905 Titrando analyzer
Metrohm 905 Titrando analyzer
PI Supplied Instrument Name: Metrohm 905 Titrando analyzer PI Supplied Instrument Description:Total Alkalinity (TA) was analyzed using the Metrohm 905 Titrando analyzer. Instrument Name: Titrator Instrument Short Name:Titrator Instrument Description: Titrators are instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB12/
YSI Professional Plus (Pro Plus) Multi-parameter handheld
YSI Professional Plus (Pro Plus) Multi-parameter handheld
PI Supplied Instrument Name: YSI Professional Plus (Pro Plus) Multi-parameter handheld PI Supplied Instrument Description:Treatment tank water quality was monitored using a YSI Professional Plus (Pro Plus) Multi-parameter handheld with a quarto containing a Pro Series Galvanic Dissolved Oxygen Sensor, a Pro Series pH Sensor, and a Pro Series temperature and conductivity sensor Instrument Name: YSI Professional Plus Multi-Parameter Probe Instrument Short Name:YSI ProPlus Instrument Description: The YSI Professional Plus handheld multiparameter meter provides for the measurement of a variety of combinations for dissolved oxygen, conductivity, specific conductance, salinity, resistivity, total dissolved solids (TDS), pH, ORP, pH/ORP combination, ammonium (ammonia), nitrate, chloride and temperature. More information from the manufacturer.