Water quality parameters from discrete shoreline and transect sampling in West Maui (Lahaina area), Hawaiʻi, following the Lahaina Wildfires, Aug 2023 to Oct 2024

Website: https://www.bco-dmo.org/dataset/982204
Data Type: Other Field Results
Version: 1
Version Date: 2025-09-02

Project
» RAPID: Coral reef stress responses to an urban fire (Reef stress urban fire)
ContributorsAffiliationRole
Kealoha, AndreaUniversity of Hawaiʻi at MānoaPrincipal Investigator
Hawco, Nicholas JamesUniversity of Hawaiʻi at MānoaCo-Principal Investigator
Nalley, EileenUniversity of Hawaiʻi at MānoaCo-Principal Investigator
Nelson, Craig E.University of Hawaiʻi at MānoaCo-Principal Investigator
Calil, Paulo H.R.Australian Institute of Marine Science (AIMS)Scientist
Masessa, GregoryUniversity of Hawai'i Maui CollegeScientist
Summers, TreyUniversity of Hawaiʻi at MānoaScientist
Tegler, LoganUniversity of Hawaiʻi at MānoaScientist
Mattos, JoelleUniversity of Hawaiʻi at MānoaStudent
Rohrbaugh, NaomiUniversity of Hawaiʻi at MānoaStudent
Swift, SeanUniversity of Hawaiʻi at MānoaStudent
Peterman, JessicaUniversity of Hawaiʻi at MānoaTechnician
Mickle, AudreyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
These data include values for various coastal water parameters: carbon chemistry (total alkalinity, dissolved inorganic carbon, and dissolved organic carbon), trace metals, metabolomic composition, nutrient concentrations (NOx, NO2, PO4, SiO2, and NH3), Fluorescence Dissolved Organic Matter, and flow cytometry. Water samples were all collected in West Maui in and around reef systems that were within and adjacent to the burn zone of the Lahaina fires. These samples were collected by boat transect, shoreline grab sampling, and autonomous sampling devices. Some autonomous sampling data from before the fire event are also included. The aim of these data is to understand the effects on coral reef health in response to the urban fires that occurred in August of 2023. Samples were collected by a collaborative effort of scientists Dr. Andrea K Kealoha, Dr. Craig Nelson, Dr. Eileen Nalley, and Dr. Nicholas Hawco.   


Coverage

Location: Lahaina, Maui, Hawai’i 20.878525, -156.683746
Spatial Extent: N:20.95075 E:-156.60705 S:20.80434 W:-156.74414
Temporal Extent: 2023-01-26 - 2024-10-23

Methods & Sampling

Sample Methods

Water samples were all collected in West Maui in and around reef systems that were within and adjacent to the burn zone of the Lahaina fires. Samples were collected in impacted areas within the affected burn zone, control sites outside of the burned urban area (Kahekili, approximately 4km to the north of the burn extent, and Olowalu, approximately 8km to the south), Lahaina Harbor, streams, transect sampling, and other opportunistic sampling detailed in dataset. Some autonomous sampling data from before the fire event are also included in the dataset.

All shoreline water samples were collected using a 1.5L niskin bottle that was manually closed. Sites were either off a dock (ei. Harbor site) or swam to with a niskin and CTD in hand. PharMed BPT tubing was attached to the niskin bottle and each sample bottle was rinsed 3 times with sample water before filled. Nutrient samples were placed immediately on ice and were frozen as soon as possible. Carbon chemistry samples were poisoned with mercuric chloride. All samples were placed into a cooler with ice until they were organized at the end of the field collection day.

Transect samples were collected by lowering a 1.5L off of the boat and sampling the same as the shoreline. Metal samples were collected by assembling  a 10' polyvinylchloride pole to collect non-contaminated samples away from the vessel.

Boat transect sampling was done twice a day on two dates, 2023-10-07 and 2024-01-27. These were done at sites L1-L15. Between 2023-10-07 and 2024-10-23 shoreline samples were taken for sites SH1-SH11. Between 2023-10-07 and 2024-08-04, an autosampler was used at Kahekili Beach Park (KBP) and Mala Point (M).

Autosampler samples were collected using a custom built device. Tedlar bags were attached to the autosampler channels and were pre-poisoned with mercuric chloride. Some

Sampling Dates

  • Dates for boat transect sample data: Two time sampling single day samplings for site L1-L15
    • 2023-10-07
    • 2024-01-27
  • Dates for shoreline water sample data: Samples were collected in two day intervals from the shoreline of the listed sites (SH1-SH11) in West Maui spanning from Olowalu to Kahekili.
    • 2023-10-07 to 2023-10-08
    • 2023-11-13 to 2023-11-14
    • 2023-11-30 to 2023-12-02
    • 2024-01-10 to 2024-01-11
    • 2024-01-27 to 2024-01-28
    • 2024-05-10 to 2024-05-11
    • 2024-08-03 to 2024-08-04
    • 2024-10-23
  • Dates for autosampler data: Samples collected at sites Kahekili Beach Park (KBP) and Mala Point (M) (SH5 and SH8)
    • 2023-10-07 to 2023-10-09
    • 2023-12-01 to 2023-12-03
    • 2024-01-10 to 2024-01-11
    • 2024-01-26 to 2024-01-28
    • 2024-05-09 to 2024-05-11
    • 2024-08-02 to 2024-08-04

Sampling Locations

Stations and locations are listed in the table below.

Site Name Sampling Method Latitude Longitude Description
LH1 Boat Transect 20.87047 -156.68083 Transect from Mala Point
LH2 Boat Transect 20.85898 -156.69733 Transect from Mala Point
LH3 Boat Transect 20.85047 -156.71147 Transect from Mala Point
LH4 Boat Transect 20.84282 -156.72745 Transect from Mala Point
LH5 Boat Transect 20.83527 -156.74414 Transect from Mala Point
LH6 Boat Transect 20.86227 -156.67637 Transect from Mala Point
LH7 Boat Transect 20.85582 -156.66966 Transect from Mala Point
LH8 Boat Transect 20.84885 -156.66361 Transect from Mala Point
LH9 Boat Transect 20.84178 -156.65714 Transect from Mala Point
LH10 Boat Transect 20.8357 -156.65101 Transect from Mala Point
LH11 Boat Transect 20.83012 -156.6436 Transect from Mala Point
LH12 Boat Transect 20.82372 -156.63602 Transect from Mala Point
LH13 Boat Transect 20.8148 -156.63056 Transect from Mala Point
LH14 Boat Transect 20.80798 -156.62518 Transect from Mala Point
LH15 Boat Transect 20.80434 -156.61567 Transect from Mala Point
SH1 Shoreline Sampling 20.865082 -156.673642 Shark pit
SH2 Shoreline Sampling 20.872221 -156.678991 Ferry pier
SH3 Shoreline Sampling 20.871976 -156.67873 Harbor
SH4 Shoreline Sampling 20.880425 -156.685162 Baby beach
SH5 Shoreline Sampling 20.883216 -156.687382 Mala point
SH6 Shoreline Sampling 20.887829 -156.684862 Mala Tavern
SH7 Shoreline Sampling 20.902508 -156.684888 Wahikuli
SH8 Shoreline Sampling 20.936749 -156.692258 Kahekili
SH9 Shoreline Sampling 20.809339 -156.607049 Olowalu beach
SH10 Shoreline Sampling 20.885432 -156.686466 Kahoma outflow beach
SH11 Shoreline Sampling 20.860466 -156.667369 Kauaula stream bridge
Kahekili Beach Park (KBP) Autosampler 20.93727 -156.69351 Kahekili Beach Park (KBP)
Mala Point (M) Autosampler 20.883216 -156.687382 Mala Point (M)

 

Sample Analysis

a. Carbon Chemistry (μmol/L): One sample is collected for the analysis of TA and DIC and a second is collected for DOC. TA/DIC is collected by submerging a niskin bottle just below the surface of the water and collecting a sub sample. A piece of PharMed BPT tubing is attached to the niskin bottle and placed on the bottom of a 250mL VWR narrow mouth glass bottle and rinsed and dumped three times. Each sample is poisoned with 0.1 mL of mercuric chloride and the glass topper is sealed with Apiezon L Vacuum Grease and a snap-grip clamp.

a.1.Total Alkalinity (TA): Alkalinity determination using the Gran titration method. Alkalinity is determined by the amount of acid (in mol/kg or mol/L) needed to titrate a water sample to the CO2 equivalence point (about 4.4) at which all inorganic carbon species are converted to CO2 in seawater. Measurements validated with Dickson CO2 Certified Reference Material.

a.2. Dissolved Inorganic Carbon (DIC): All species of carbon are transformed into CO2 and the resulting CO2 gas is purged from the water sample by the pure nitrogen (N2) carrier gas and use only a single certified reference material to make a three-point calibration line or broken line. Apollo Dissolved Inorganic Carbon Analyzer Model AS-C5 was calibrated with Dickson CO2 Certified Reference Material.

a.3. Dissolved Organic Carbon (DOC): Water for TOC analysis was collected in 40 mL amber Volatile Organic Analysis (VOA) vials with silicone septum caps. TOC was measured on a Shimadzu TOC-L Combustion analyzer. Water samples were not filtered prior to collection and included both dissolved and particulate organic carbon.

a.4 Total Organic Carbon (TOC): Water samples were analyzed for total organic carbon (TOC). Water for TOC analysis was collected in 40 mL amber Volatile Organic Analysis (VOA) vials with silicone septum caps. Prior to sampling, vials and caps were acid washed with 10% HCl and vials were combusted at 450°C for 4 hours. Prior to collection, sample vials and caps were triple rinsed with sample water. Vials were filled to the shoulder with sample water and then acidified to a pH of ~2 via dropwise addition of 12M hydrochloric acid.

b. Trace Metals: Samples for dissolved and total dissolvable metal concentrations were collected in acid washed polyethylene bottles, which were rinsed 3 times before filling. During offshore sampling, a 10' polyvinyl chloride pole was assembled to collect non-contaminated samples away from the vessel. During shore sampling, bottles were filled from upstream waters and closed immediately after filling. Samples for dissolved metals were vacuum filtered using a 0.2 um polyethersulfone membrane. Samples for total dissolvable metals were not filtered. Both filtered and unfiltered samples were acidified to a pH of 1.8 using ultra high purity hydrochloric acid and stored for several weeks prior to analysis.

For dissolved iron, zinc, nickel, copper, cadmium, and lead, samples were subject to preconcentration using a SeaFAST S2 system (Elemental Scientific) after addition of an isotope spike to track sample recovery. 10 mL of samples were preconcentration into 0.75 mL and analyzed by inductively coupled plasma mass spectrometry (ICP-MS) using an iCAP-TQ instrument (Thermo Fisher Scientific) using O2 as a collision gas. Pre-concentration blanks were assessed by measuring high purity (18.2 M-Ohm cm-1) water after passing through the SeaFAST system and subtracted from measured values.

For dissolved Mn, Ba, V, and As, and all total dissolvable measurements, samples were also measured by ICP-MS, but after dilution in 0.1 M nitric acid with In as an internal standard. These samples were calibrated diluted multi-element standard (Inorganic Ventures) with matrix-matched seawater collected from offshore waters in the North Pacific Subtropical Gyre. 

For dissolved metals analyzed by both procedures, CASS7 and NASS5 seawater reference materials were measured to ensure accuracy of calibrations. No standards are available for total dissolvable metal measurements. 

c. Metabolomics: For untargeted LC-MS/MS, 200 mL water samples were acidified to pH2 and collected on solid phase extraction cartridges with a 60mg HLB resin bed. Cartridges were eluted using 2 mL of LC/MS grade methanol, evaporated to dryness, and redissolved in 100 µL of 80:20:1 Methanol/water/formic acid. Samples were run in data dependent acquisition mode on an Orbitrap Exploris MS/MS coupled to a Vanquish Flex UHPLC using a Kinetex® 1.7 µm C18 150 x 2.1 mm Column and C18 guard column. 

d. Nutrients: Nutrient samples were collected by rinsing a previously acid washed 125 mL Nalgene HDPE bottle three times with surface water and next filled leaving room on the top to allow freezing. Samples are immediately placed in a dark cooler on ice and frozen at the end of the sampling day. Samples are removed from the freezer the night before analyzing and are slowly defrosted in a dark environment. Measurements were validated with Kanso Certified Reference Material.

d.1. Nitrate and Nitrite: Method no. A-044-19 Rev.5: Nitrate is reduced to Nitrite at pH 7.5 in a copperized cadmium coil. Nitrite is reduced with sulfanilamide to form a diazo compound that then couples with N-(1-Naphthyl)ethylenediamine dihydrochloride to form an azo dye that is measured at the absorbance of 540 nm.

d.2 Phosphate: Method no. A-005-19 Rev.3:ortho-phosphate, molybdate, and antimony form a blue color followed by the reduction with ascorbic acid at pH <1. This reduced blue phospho-molybdenum complex is read at the absorbance of 880 nm.

d.3 Silicate: Method no. A-006-19 Rev.4: silico-molybdate is reduced in an acidic solution of molybdenum blue by ascorbic acid. Oxalic acid is added prior to ascorbic acid to reduce interference from phosphates.

d.4 Ammonia: G-327-05 Rev 9: sample is reacted with o-phthalaldehyde at 75 °C with a borate buffer and sodium sulfite and analyzed at an absorbance of 460 nm following excitation at 370 nm.

e. Fluorescence Dissolved Organic Matter (fDOM): Water for fDOM analysis was collected in acid washed 20 mL glass vials with urea caps. Vials and caps were triple rinsed with sample water prior to collecting each sample and stored at 4 °C. 3 ml subsamples were transferred into 1 cm quartz cuvettes, which were then loaded into the fluorometer. Excitation-Emission Matrices (EEMS) were generated with excitation values ranging from 240 nm to 500 nm and emission values were measured ranging from 250 nm to 825 nm. These included M:C (Burdigee et al. 2004), FI (McKnight et al. 2001), BIX (Huguet et al. 2009), HIX (Zsolnay et al. 1999), M, A, C, T, and B (Coble 1996).

f. Flow cytometry: Water samples were analyzed for bacterial counts using flow cytometry. Water for flow cytometry was subsampled from triple rinsed and acid washed 1L polycarbonate bottles. For each sample, a 1 mL subsample was transferred via pipette to a 2mL screw cap tube. Samples were preserved with17 µL of 32% paraformaldehyde, for a final concentration of 0.5% paraformaldehyde in each sample. During field collection, samples were stored on ice in the dark. To avoid repeated freeze-thaw cycles, flow cytometry samples were preserved at 4°C for a period of up to 48 hours while in the field prior to long term storage at -80°C. For analysis, 275 µL aliquots from each sample were transferred to 96-well optically clear flat bottom plates. Each sample was stained with 7 µL of Hoechst stain following Selph (2021). Samples were analyzed on a CytoFlex flow cytometry. Gates were established empirically to generate counts of 4 distinct populations of marine microorganisms: heterotrophic bacteria, large autotrophs, small autotrophs, all autotrophs. 


BCO-DMO Processing Description

- Opened "Lahaina_all_data_submitter_revised.xlsx" in Excel to format string fields as "text"
- Saved file as "Lahaina_all_data_submitter_revised_text_format.xlsx"
- Imported "Lahaina_all_data_submitter_revised_text_format.xlsx" into the BCO-DMO system
- Combined the "date" and "time" into UTC and local (HST) ISO 8601 datetime format
- Removed redundant "time" and "posix" fields
- Exported file as "982204_v1_lahaina_fires_water_quality.csv"


[ table of contents | back to top ]

Data Files

File
982204_v1_lahaina_fires_water_quality.csv
(Comma Separated Values (.csv), 147.43 KB)
MD5:d24f49d5fba4cbbdd68d63edd20701bd
Primary data file for dataset ID 982204, version 1

[ table of contents | back to top ]

Related Publications

Becker, S., Aoyama, M., Woodward, E. M. S., Bakker, K., Coverly, S., Mahaffey, C., & Tanhua, T. (2020). GO-SHIP Repeat Hydrography Nutrient Manual: The Precise and Accurate Determination of Dissolved Inorganic Nutrients in Seawater, Using Continuous Flow Analysis Methods. Frontiers in Marine Science, 7. https://doi.org/10.3389/fmars.2020.581790
Methods
Burdige, D. J., Kline, S. W., & Chen, W. (2004). Fluorescent dissolved organic matter in marine sediment pore waters. Marine Chemistry, 89(1–4), 289–311. https://doi.org/10.1016/j.marchem.2004.02.015
Methods
Coble, P. G. (1996). Characterization of marine and terrestrial DOM in seawater using excitation-emission matrix spectroscopy. Marine Chemistry, 51(4), 325–346. doi:10.1016/0304-4203(95)00062-3
Methods
Dickson, A.G.; Sabine, C.L. and Christian, J.R. (eds) (2007) Guide to best practices for ocean CO2 measurement. Sidney, British Columbia, North Pacific Marine Science Organization, 191pp. (PICES Special Publication 3; IOCCP Report 8). DOI: https://doi.org/10.25607/OBP-1342
Methods
Huguet, A., Vacher, L., Relexans, S., Saubusse, S., Froidefond, J. M., & Parlanti, E. (2009). Properties of fluorescent dissolved organic matter in the Gironde Estuary. Organic Geochemistry, 40(6), 706–719. doi:10.1016/j.orggeochem.2009.03.002
Methods
McKnight, D. M., Boyer, E. W., Westerhoff, P. K., Doran, P. T., Kulbe, T., & Andersen, D. T. (2001). Spectrofluorometric characterization of dissolved organic matter for indication of precursor organic material and aromaticity. Limnology and Oceanography, 46(1), 38–48. Portico. https://doi.org/10.4319/lo.2001.46.1.0038
Methods
Petras, D., Koester, I., Da Silva, R., Stephens, B. M., Haas, A. F., Nelson, C. E., Kelly, L. W., Aluwihare, L. I., & Dorrestein, P. C. (2017). High-Resolution Liquid Chromatography Tandem Mass Spectrometry Enables Large Scale Molecular Characterization of Dissolved Organic Matter. Frontiers in Marine Science, 4. https://doi.org/10.3389/fmars.2017.00405
Methods
Selph, K. E. (2021). Enumeration of marine microbial organisms by flow cytometry using near-UV excitation of Hoechst 34580‐stained DNA. Limnology and Oceanography: Methods, 19(10), 692–701. Portico. https://doi.org/10.1002/lom3.10454
Methods
Zsolnay, A., Baigar, E., Jimenez, M., Steinweg, B., & Saccomandi, F. (1999). Differentiating with fluorescence spectroscopy the sources of dissolved organic matter in soils subjected to drying. Chemosphere, 38(1), 45–50. doi:10.1016/s0045-6535(98)00166-0 https://doi.org/10.1016/S0045-6535(98)00166-0
Methods

[ table of contents | back to top ]

Related Datasets

References
Station USGS 16638500 Kahoma Stream at Lahaina, Maui, HI. U.S. Geological Survey, National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), https://waterdata.usgs.gov/monitoring-location/USGS-16638500/.
United States Geological Survey. USGS Water Data for the Nation. U.S. Geological Survey. https://doi.org/10.5066/F7P55KJN

[ table of contents | back to top ]

Parameters

ParameterDescriptionUnits
date

Date of sample collection

unitless
ISO_DateTime_UTC

Date and time when the sample was collected in UTC

unitless
ISO_DateTime_Local_HST

Date and time when the sample was collected in local time, Hawai’i Standard Time (HST)

unitless
collection

Identifier with station number and date of collection

unitless
uniqueID

Unique sample identifier

unitless
station

Sampling station code (e.g., “HR4,” “L10”)

unitless
sampling_trip

Sequential number of the sampling campaign

unitless
description

Description of sampling location

unitless
tide

Stage of tidal cycle, ebb or flood

unitless
station_platform

Type of sampling, e.g. shoreline, transect

unitless
station_category

Indicates if sample was collected on a transect cruise (Transect), by a control site (Control), by an impacted site (Impact), in a harbor area (Harbor Area), near a stream (Stream), was an opportunistic sampling (Opportunistic), or was collected by an autosampler (autosampler)

unitless
lat

Latitude of the site

unitless
lon

Longitude of the site

unitless
metal

Indicates whether this analysis type was performed on this sample (yes/no)

unitless
fcm

Indicates whether this analysis type was performed on this sample (yes/no)

unitless
fdom

Indicates whether this analysis type was performed on this sample (yes/no)

unitless
hlb

Indicates whether this analysis type was performed on this sample (yes/no)

unitless
doc

Indicates whether this analysis type was performed on this sample (yes/no)

unitless
nutrients

Indicates whether this analysis type was performed on this sample (yes/no)

unitless
dic

Indicates whether this analysis type was performed on this sample (yes/no)

unitless
sediment

Indicates whether this analysis type was performed on this sample (yes/no)

unitless
comments

Additional comments on sample collection

unitless
trip_description

Descriptive name of sampling date

unitless
date_description

Descriptive name of sampling date

unitless
NO3_NO2_umolL

Nitrate + Nitrite concentration

umol/L
NO2_umolL

Nitrite concentration

umol/L
SiO2_umolL

Silicate concentration

umol/L
PO4_umolL

Phosphate concentration

umol/L
NH3_umolL

Ammonia concentration

umol/L
d_metal

Indicates whether dissolved metals were analyzed for this sample(yes/no)

n/a
dFe_nM

Dissolved iron concentration

nM
dZn_nM

Dissolved zinc concentration

nM
dCd_nM

Dissolved cadmium concentration

nM
dNi_nM

Dissolved nickel concentration

nM
dCu_nM

Dissolved copper concentration

nM
dPb_nM

Dissolved lead concentration

nM
dAs_nM

Dissolved arsenic concentration

nM
dMn_nM

Dissolved manganese concentration

nM
dV_nM

Dissolved vanadium concentration

nM
dBa_nM

Dissolved barium concentration

nM
metal_seafast_comment

Comment on metal concentrations

unitless
td_metal

Indicates whether this particular parameter was analyzed for this unique sample (yes/no)

unitless
tdAs_nM

Total dissolvable arsenic concentration

nM
tdPb_nM

Total dissolvable lead concentration

nM
tdMn_nM

Total dissolvable manganese concentration

nM
tdCo_nM

Total dissolvable cobalt concentration

nM
tdCu_nM

Total dissolvable copper concentration

nM
tdZn_nM

Total dissolvable zinc concentration

nM
tdCd_nM

Total dissolvable cadmium concentration

nM
tdNi_nM

Total dissolvable nickel concentration

nM
tdFe_nM

Total dissolvable iron concentration

nM
tdAl_nM

Total dissolvable aluminum concentration

nM
tdTi_nM

Total dissolvable titanium concentration

nM
tdV_nM

Total dissolvable vanadium concentration

nM
tdCr_nM

Total dissolvable chromium concentration

nM
tdBa_nM

Total dissolvable barium concentration

nM
metal_diluted_comment

Comment on metal concentrations

n/a
CobleA

Fluorescence intensity for peak A of dissolved organic matter (DOM), per Coble 1996.

Raman Units
CobleB

Fluorescence intensity for peak B of dissolved organic matter (DOM), per Coble 1996.

Raman Units
CobleC

Fluorescence intensity for peak C of dissolved organic matter (DOM), per Coble 1996.

Raman Units
CobleM

Fluorescence intensity for peak M of dissolved organic matter (DOM), per Coble 1996.

Raman Units
CobleT

Fluorescence intensity for peak T of dissolved organic matter (DOM), per Coble 1996.

Raman Units
Stedmon_D

Fluorescence component D (humic-like DOM) derived from PARAFAC model (Stedmon & Markager 2005)

Raman Units
BIX

BIX (biological index) measurements

Raman Units
HIX

HIX (humification index) measurements

Raman Units
FI

FI (fluorescence index) measurements

Raman Units
M_to_C

M:C peak ratio measurements

Raman Units
Lignin

Concentration of lignin-derived phenols

Raman Units
dic_temperature

Temperature in Celsius used for DIC

Celcius
dic_salinity

Salinity measurement with CTD

psu
dic_umol_kg

DIC value converted from umol/L to umol/kg

umol/kg
ta_umol_kg

TA value converted from umol/L to umol/kg

umol/kg
n_dic

Normalized DIC data (35ppt)

umol/kg
n_ta

Normalized TA data (35ppt)

umol/kg
ph

pH calculated with CO2SYS

unitless
f_co2

Carbon dioxide exchange flux

mmHg
p_co2

Carbon dioxide partial pressure

mmHg
arag_sat

Aragonite saturation calculated using CO2SYS software

unitless
hetero_bact_per_ul

Count of heterotrophic bacterial cells

bacterial cell count/ul
sm_autotroph_per_ul

Count of small autotrophic cells

bacterial cell count/ul
lg_autotroph_per_ul

Count of large autotrophic cells

bacterial cell count/ul
all_autotroph_per_ul

Total autotrophic cell count

bacterial cell count/ul
NPOC_mgL

Non-purgeable organic carbon value mg/L

mg/L
TN_mgL

Total nitrogen value mg/L

mg/L
NPOC_uM

Non-purgeable organic carbon value converted uM

uM
TN_uM

Total nitrogen value converted uM

uM
rainfall_24hr

Cumulative rainfall at Lahaina mesonet station over prior 24 hour period in mm

mm
rainfall_48hr

Cumulative rainfall at Lahaina mesonet station over prior 48 hour period in mm

mm
rainfall_1wk

Cumulative rainfall at Lahaina mesonet station over prior 1 week period in mm

mm
mean_discharge

Mean daily discharge at Kahoma Stream USGS station in cubic feet per second

cubic feet per second
mean_gauge_height

Mean daily gauge height at Kahoma Stream USGS station in feet

feet


[ table of contents | back to top ]

Instruments

Dataset-specific Instrument Name
Apollo Total Alkalinity Titrator Model AS-ALK3
Generic Instrument Name
Apollo SciTech Model AS-ALK3 total alkalinity titrator
Dataset-specific Description
 Total Alkalinity: Apollo Total Alkalinity Titrator Model AS-ALK3 
Generic Instrument Description
An automated acid-base titrator for use in aquatic carbon dioxide parameter analysis. The titrator provides standardisation and sample analysis, using the Gran titration procedure for alkalinity determination of seawater and brackish waters. It is designed for both shipboard and land based laboratory use. The precision of the instrument is 0.1 percent or higher, and sample volumes may range from 10-25 ml. Titraton takes approximately 8 minutes per sample, and the repeatability is within plus or minus 1-2 micromoles per kg.

Dataset-specific Instrument Name
SonTek CastAway-CTD
Generic Instrument Name
CTD - fixed
Dataset-specific Description
Sites were either off a dock (ei. Harbor site) or swam to with a niskin and CTD in hand.  SonTek CastAway has a 6-electrode conductivity cell with a thermistor for high resolution CTD measurements.
Generic Instrument Description
A reusable instrument that always simultaneously measures conductivity and temperature (for salinity) and pressure (for depth). This term applies to CTDs that are fixed and do not measure by profiling through the water column. For profiling CTDs, see https://www.bco-dmo.org/instrument/417.

Dataset-specific Instrument Name
CytoFlex flow cytometry
Generic Instrument Name
Flow Cytometer
Dataset-specific Description
Flow cytometry: CytoFlex flow cytometry
Generic Instrument Description
Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells. (from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm)

Dataset-specific Instrument Name
Horiba Aqualog scanning fluorometer
Generic Instrument Name
Fluorometer
Dataset-specific Description
Fluorescence Dissolved Organic Matter (fDOM): Horiba Aqualog scanning fluorometer
Generic 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.

Dataset-specific Instrument Name
Apollo Dissolved Inorganic Carbon Analyzer Model AS-C5
Generic Instrument Name
Inorganic Carbon Analyzer
Dataset-specific Description
Dissolved Inorganic Carbon: Apollo Dissolved Inorganic Carbon Analyzer Model AS-C5
Generic Instrument Description
Instruments measuring carbonate in sediments and inorganic carbon (including DIC) in the water column.

Dataset-specific Instrument Name
Orbitrap Exploris MS/MS
Generic Instrument Name
Mass Spectrometer
Dataset-specific Description
Metabolomics: Orbitrap Exploris MS/MS coupled to a Vanquish Flex UHPLC using a Kinetex® 1.7 µm C18 150 x 2.1 mm Column and C18 guard column
Generic Instrument Description
General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components.

Dataset-specific Instrument Name
niskin bottle
Generic Instrument Name
Niskin bottle
Dataset-specific Description
TA/DIC is collected by submerging a niskin bottle just below the surface of the water and collecting a sub sample.
Generic Instrument Description
A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.

Dataset-specific Instrument Name
SEAL AA500
Generic Instrument Name
Nutrient Autoanalyzer
Dataset-specific Description
Nutrients: SEAL AA500
Generic Instrument Description
Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.

Dataset-specific Instrument Name
SeaFAST S2 system (Elemental Scientific), ICP-MS
Generic Instrument Name
SeaFAST Automated Preconcentration System
Dataset-specific Description
Trace Metals:  SeaFAST S2 system (Elemental Scientific), ICP-MS
Generic Instrument Description
The seaFAST is an automated sample introduction system for analysis of seawater and other high matrix samples for analyses by ICPMS (Inductively Coupled Plasma Mass Spectrometry).

Dataset-specific Instrument Name
Shimadzu TOC-L Combustion analyzer
Generic Instrument Name
Shimadzu TOC-L Analyzer
Dataset-specific Description
Total Organic Carbon: Shimadzu TOC-L Combustion analyzer
Generic Instrument Description
A Shimadzu TOC-L Analyzer measures DOC by high temperature combustion method. Developed by Shimadzu, the 680 degree C combustion catalytic oxidation method is now used worldwide. One of its most important features is the capacity to efficiently oxidize hard-to-decompose organic compounds, including insoluble and macromolecular organic compounds. The 680 degree C combustion catalytic oxidation method has been adopted for the TOC-L series. http://www.shimadzu.com/an/toc/lab/toc-l2.html


[ table of contents | back to top ]

Project Information

RAPID: Coral reef stress responses to an urban fire (Reef stress urban fire)

Coverage: Lahaina, Maui, Hawaiʻi


NSF Award Abstract:
Maui’s coral reefs support subsistence, recreational, and commercial fishing, particularly for the large Native Hawaiian population. In August 2023, hurricane winds and low humidity combined with the recent drought to cause an unprecedented fire in Lahaina, an urban coastal town on the island of Maui. The fire quickly burned over 2170 acres and 2200 structures, releasing ash, particulate matter and potentially toxic materials into the adjacent coastal waters. This project provides novel information on the ecological impacts of wildfires to coral reefs to aid in climate change adaptation and emergency response planning. Cultural perspectives and traditional knowledge of Native Hawaiian community members are incorporated throughout the research process. The project directly supports four students, including a Native Hawaiian student, to participate in activities including field work, data collection, analyses and interpretation, and communication of research results.

A wildfire in an urban city located adjacent to a coral reef is unprecedented but may become more common as expanding shoreline development intersects with potentially increased fire risk with climate change. The overall objective of this study is to examine the direct effects of urban wildfires and associated potential stressors - such as reduced water quality, acidification, hypoxia, and heavy metals - on coral reef ecosystem function and the potential for regime shifts favoring benthic algae instead of corals. Using the 2023 Lahaina wildfire as a case study, the project employs a “before-after control-impact” design to compare three west Maui reefs both affected and unaffected by wildfire, with special attention to the anticipated remobilization of organic matter, toxic compounds (e.g., polycyclic aromatic hydrocarbons) and metals following rain events in autumn. Physical and chemical water parameters will constrain the reef-scale carbon cycle and coral metabolism before, during and after runoff events to document the ecological responses to urban fire impacts. This project will support three Early Career Researchers, contribute toward research training for multiple graduate and undergraduate students, and provide valuable information about contaminants and water quality to a community that relies heavily on coral reef resources.



[ table of contents | back to top ]

Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

[ table of contents | back to top ]