Data Package Metadata   View Summary

Carbon flux from aquatic ecosystems of the Arctic Coastal Plain along the Beaufort Sea, Alaska, 2010-2018

General Information
Data Package:
Local Identifier:knb-lter-ble.1.6
Title:Carbon flux from aquatic ecosystems of the Arctic Coastal Plain along the Beaufort Sea, Alaska, 2010-2018
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Multiple aquatic ecosystems (pond, lake, river, lagoon, ocean) on the Arctic Coastal Plain (ACP) near Utqiaġvik, Alaska, United States of America were visited to determine their relative contribution to landscape-level atmospheric carbon dioxide (CO2) flux and how this may have changed over time. pCO2 (partial pressure of carbon dioxide) was monitored in late summer (late July to mid-August) over a period of four years (2013, 2015, 2017, 2018) from open water areas and is related to habitat type, dissolved organic carbon (DOC) and environmental factors (temperature, radiation, rainfall). Data include both daily averages from most sites, as well as spatial representation of pCO2 in Elson Lagoon and diel cycles of pCO2 from a tundra pond. Pond net ecosystem production (NEP) is estimated by free water metabolism and presented as daily estimates over a four summer period.

Short Name:Lougheed carbon flux 2019
Publication Date:2019
Language:English

Time Period
Begin:
2010-06-12
End:
2018-08-02

People and Organizations
Contact:Information Manager (Beaufort Lagoon Ecosystems LTER) [  email ]
Creator:Beaufort Lagoon Ecosystems LTER
Creator:Lougheed, Vanessa L (The University of Texas at El Paso)

Data Entities
Data Table Name:
Regional survey
Description:
Water chemistry from multiple aquatic ecosystems
Data Table Name:
Elson 2015 spatial survey
Description:
pCO2 survey of Elson Lagoon from 2015
Data Table Name:
IBP C diel pCO2 data
Description:
Diel pCO2 in tundra pond over 4 summers
Data Table Name:
IBP C Daily NEP
Description:
Summer Net Ecosystem Production (NEP) in tundra pond over 4 summers
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/1/6/a1723e0e5f3c4881f1a7ede1b036aba6
Name:Regional survey
Description:Water chemistry from multiple aquatic ecosystems
Number of Records:231
Number of Columns:19

Table Structure
Object Name:regional_survey.csv
Size:29434 byte
Authentication:07cd52248f6587c5047da5d0cf8e809f Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 YearHabitatFreshwater or SalineSiteStationLatitudeLongitudeWater Column PositionJulian DayWeek of the YearDissolved Organic CarbonWater TemperaturepCO2Wind SpeedAir TemperatureGas transfer co-efficientCO2 flux in mmolCO2 flux in gramsSite description and bounding boxes
Column Name:Year  
Habitat  
FwSal  
Site  
Station  
Latitude  
Longitude  
WaterColumnPosition  
JulianDay  
WOY  
DOC  
WaterTemp  
pCO2  
Wind  
AirTemp  
k  
Fmmol  
Fgrams  
LocationNotes  
Definition:Year data were collectedHabitat type (pond, lake, river, lagoon, ocean)Identifies freshwater or saline (incl. brackish) conditionsSite name. Not to be confused with a "site" defined in the EML element geographicCoverageWhen multiple sites within a single site were sampled, they were assigned a different subsite name.Latitude in decimal degreesLongitude in decimal degreesWhere sample was taken within a water columnDay of year starting from Jan 1st. AKDT time.Week of the yearDissolved organic carbon determined by non-purgeable organic carbon method (ppm). Precision for Elson and Chukchi sites is 0.1, for all other sites 0.01.Water temperature in degrees CelsiusPartial pressure of CO2 (uatm)Wind speed in m/sAir temperature in degrees CelsiusGas transfer co-efficient, calculated based on Wanninkhof 2014 (see methods document for full reference)CO2 flux in mmol/m2/dayCO2 flux in g/m2/daySite description and bounding boxes, only for locations without exact coordinates
Storage Type:integer  
string  
string  
string  
string  
decimal  
decimal  
string  
integer  
integer  
decimal  
decimal  
decimal  
decimal  
decimal  
decimal  
decimal  
decimal  
string  
Measurement Type:dateTimenominalnominalnominalnominalintervalintervalnominaldateTimedateTimeratiointervalratioratiointervalratioratiorationominal
Measurement Values Domain:
FormatYYYY
Precision1
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeLagoon
DefinitionLagoon
Source
Code Definition
CodeLAKE
DefinitionLake
Source
Code Definition
CodePOND
DefinitionPond
Source
Code Definition
CodeSalt-River
DefinitionRiver influenced by saltwater intrusion from lagoon
Source
Code Definition
CodeTK-POND
DefinitionThermokarst Pond
Source
Code Definition
CodeOcean
DefinitionOcean
Source
Code Definition
CodeRIVER
DefinitionFreshwater river
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeSaline
DefinitionSaline or brackish water
Source
Code Definition
CodeFW
DefinitionFreshwater
Source
Definitionany text
Definitionany text
Unitdegree
Typereal
Min-90 
Max90 
Unitdegree
Typereal
Min-180 
Max180 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codemid-column
Definitionwater collected from approximately middle of water column
Source
Code Definition
Codesurface
Definitionwater collected from approximately 0-30 cm below the surface
Source
Code Definition
Codebottom
Definitionwater collected from approximately 30 cm above the bottom
Source
FormatDDD
Precision1
Formatww
Precision1
UnitpartsPerMillion
Precision0.01
Typereal
Min
Max
Unitcelsius
Precision0.01
Typereal
Min-273.15 
Max
Unitmicroatmosphere
Precision0.01
Typereal
UnitmeterPerSecond
Precision0.01
Typereal
Min
Max
Unitcelsius
Precision0.01
Typereal
Min-273.15 
Max
UnitcentimeterPerHour
Precision0.01
Typereal
UnitmillimolePerMeterSquaredPerDay
Precision0.01
Typereal
UnitgramPerMeterSquaredPerDay
Precision0.01
Typereal
Definitionany text
Missing Value Code:          
Code-9999
ExplCoordinates not collected for this location. See LocationNotes column in the same data table for a description and bounding boxes.
Code-9999
ExplCoordinates not collected for this location. See LocationNotes column in the same data table for a description and bounding boxes.
     
Code-9999
ExplData not collected
Code-9999
ExplData not collected
   
Code-9999
ExplData not collected
Code-9999
ExplData not collected
Code-9999
ExplData not collected
Code-9999
ExplData not collected
Code-9999
ExplNot applicable, exact coordinates already supplied
Accuracy Report:                                      
Accuracy Assessment:                                      
Coverage:                                      
Methods:                                      

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/1/6/b698644419ea88ab1072f4fcbef9083c
Name:Elson 2015 spatial survey
Description:pCO2 survey of Elson Lagoon from 2015
Number of Records:2963
Number of Columns:8

Table Structure
Object Name:Elson_2015_spatial_survey.csv
Size:214353 byte
Authentication:686a55904dc43085302ba638ce19aa68 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 SiteStationLatitudeLongitudeDate and timepCO2Water TemperatureDissolved Organic Carbon
Column Name:Site  
Station  
Latitude  
Longitude  
DateTime  
pCO2  
WaterTemp  
DOC  
Definition:Site nameWhen multiple sites within a single site were sampled, they were assigned a different subsite nameLatitude in decimal degreesLongitude in decimal degreesTime of sampling. AKDT time.Partial pressure of CO2 (uatm)Water temperature in degrees CelsiusDissolved organic carbon determined by non-purgeable organic carbon method (ppm)
Storage Type:string  
string  
decimal  
decimal  
dateTime  
decimal  
decimal  
decimal  
Measurement Type:nominalnominalintervalintervaldateTimeratiointervalratio
Measurement Values Domain:
Definitionany text
Definitionany text
Unitdegree
Typereal
Min-90 
Max90 
Unitdegree
Typereal
Min-180 
Max180 
FormatYYYY-MM-DDThh:mm
Precision1
Unitmicroatmosphere
Precision0.01
Typereal
Unitcelsius
Precision0.01
Typereal
Min-273.15 
Max
UnitpartsPerMillion
Precision0.1
Typereal
Missing Value Code:  
Code-9999
ExplStation is not part of regional survey and so does not get a station identifier
Code-9999
ExplData not collected
Code-9999
ExplData not collected
 
Code-9999
ExplData not collected
Code-9999
ExplData not collected
Code-9999
ExplData not collected
Accuracy Report:                
Accuracy Assessment:                
Coverage:                
Methods:                

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/1/6/617415426847fd900b644283d86c1c66
Name:IBP C diel pCO2 data
Description:Diel pCO2 in tundra pond over 4 summers
Number of Records:1168
Number of Columns:10

Table Structure
Object Name:IBP_C_diel_pCO2.csv
Size:75981 byte
Authentication:0aab7ccb83c7b42b721e234289521f41 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 LatitudeLongitudeYearHourJulian DayRadiationAir TemperaturepCO2Total Daily RainfallWater Temperature
Column Name:Latitude  
Longitude  
Year  
Hour  
JulianDay  
Radiation  
AirTemp  
pCO2  
DailyRain  
WaterTemp  
Definition:Latitude in decimal degreesLongitude in decimal degreesYear data were collectedHour data were collected. AKDT time.Day of year starting from Jan 1st. AKDT time.Downward total solar radiationAir temperature in degrees CelsiusPartial pressure of CO2 (uatm)24-hour sum of rainfallWater temperature in degrees Celsius
Storage Type:decimal  
decimal  
integer  
integer  
integer  
decimal  
decimal  
decimal  
decimal  
decimal  
Measurement Type:intervalintervaldateTimedateTimedateTimeratiointervalratioratiointerval
Measurement Values Domain:
Unitdegree
Typereal
Min-90 
Max90 
Unitdegree
Typereal
Min-180 
Max180 
FormatYYYY
Precision1
Formathh
Precision1
FormatDDD
Precision1
UnitwattPerMeterSquared
Precision0.01
Typereal
Unitcelsius
Precision0.01
Typereal
Min-273.15 
Max
Unitmicroatmosphere
Precision0.01
Typereal
Unitmillimeter
Precision0.01
Typereal
Min
Max
Unitcelsius
Precision0.01
Typereal
Min-273.15 
Max
Missing Value Code:          
Code-9999
ExplData not collected
Code-9999
ExplData not collected
Code-9999
ExplData not collected
 
Code-9999
ExplData not collected
Accuracy Report:                    
Accuracy Assessment:                    
Coverage:                    
Methods:                    

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/1/6/9942544de7e794ce84a62151bd41e6b3
Name:IBP C Daily NEP
Description:Summer Net Ecosystem Production (NEP) in tundra pond over 4 summers
Number of Records:286
Number of Columns:7

Table Structure
Object Name:IBP_C_Daily_NEP.csv
Size:14258 byte
Authentication:7dc4e8aad1f7f5f245cf744e3f13be4b Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 LatitudeLongitudeYearJulian DayWater TemperaturePhotosynthetically Active RadiationNet Ecosystem Production
Column Name:Latitude  
Longitude  
Year  
JulianDay  
WaterTemp  
PAR  
NEP  
Definition:Latitude in decimal degreesLongitude in decimal degreesYear data were collectedDay of year starting from Jan 1st. AKDT time.Water temperature in degrees CelsiusPhotosynthetically active solar radiationNet ecosystem production estimated by free water metabolism, in grams O2 per meter cubed per day
Storage Type:decimal  
decimal  
integer  
integer  
decimal  
decimal  
decimal  
Measurement Type:intervalintervaldateTimedateTimeintervalratioratio
Measurement Values Domain:
Unitdegree
Typereal
Min-90 
Max90 
Unitdegree
Typereal
Min-180 
Max180 
FormatYYYY
Precision1
FormatDDD
Precision1
Unitcelsius
Precision0.01
Typereal
Min-273.15 
Max
UnitmicromolePerMeterSquaredPerDay
Precision0.01
Typereal
UnitgramPerMeterCubedPerDay
Precision0.01
Typereal
Missing Value Code:          
Code-9999
ExplData not collected
Code-9999
ExplData not collected
Accuracy Report:              
Accuracy Assessment:              
Coverage:              
Methods:              

Data Package Usage Rights

This data package is released to the “public domain” under Creative Commons CC0 1.0 “No Rights Reserved” (see: https://creativecommons.org/publicdomain/zero/1.0/). It is considered professional etiquette to provide attribution of the original work if this data package is shared or utilized in whole or by individual components. A generic citation is provided for this data package on the website of the repository where these data were obtained in the summary metadata page.

Communication (and collaboration) with the creators of this data package is recommended to prevent duplicate research or publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplication or inappropriate use. The Data User should realize that misinterpretation may occur if data are used outside of the context of the original study. The Data User should be aware that periodic updates of this data package may be available from the website and it is the responsibility of the Data User to check for new versions of the data.

While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy cannot be guaranteed. This data package (with its components) is made available “as is” and with no warranty of accuracy or fitness for use. The creators of this data package and the repository where these data were obtained shall not be liable for any damages resulting from misinterpretation, use or misuse of the data package or its components. Thank you.

Keywords

By Thesaurus:
LTER Core Research Areasmovement of inorganic matter, movement of organic matter, primary production
LTER Controlled Vocabulary v1aquatic ecosystems, biogeochemistry, carbon cycling, carbon flux, esturaries , lakes, oceans, ponds, streams, water column
Geographic Names Information SystemChukchi Sea, East Twin Lake, Elson Lagoon, Emaiksoun Lake, Footprint Lake, Ikroavik Lake, Mayoeak River
BLE-LTER Controlled VocabularyBeaufort Lagoon Ecosystems LTER, BLE, LTER

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

pCO2 (partial pressure of carbon dioxide) was monitored in late summer (late July to mid-August) over a period of 4 years (2013, 2015, 2017, 2018) from open water areas of a variety of aquatic habitats. pCO2 was monitored for a minimum of 30 minutes, to allow measurements to stabilize, up to a maximum of nearly 3 weeks of diel monitoring, depending on the site. At sites monitored on a diel basis, aquatic CO2 was logged every minute using an NDIR CO2 sensor (Vaisala GMM 222) enclosed in a PFTE membrane (sensu (Hari et al. 2008, Johnson et al. 2010, Bass et al. 2012) linked to a Campbell Scientific CR1000 datalogger. At sites where continuous stations were not installed, a portable NDIR CO2 sensor (Vaisala GMT220) was allowed to stabilize for at least 30 minutes before a value was recorded. Data were converted to pCO2 using water temperature and pressure logged with a HOBO U20 logger. CO2 flux (g C/m2/day) was calculated following corrections for diffusive exchange with the atmosphere estimated using wind-derived gas transfer co-efficients (k) (Wanninkhof 2014).

DOC was measured on either a Lachat IL-550 or a Shimadzu TOC-V analyzer. DOC was measured as non-purgeable organic carbon (NPOC) on the Shimadzu instrument; data from the Lachat were converted to NPOC based on samples run on both machines (n=86; range 1.9 to 68 mg/L NPOC; r2=0.98).

Downward total solar irradiance data were retrieved from Barrow Atmospheric Baseline Observatory (NOAA ESRL) prior to 2017. Post-2017, these data were acquired from NEON's Barrow Environmental Observatory Site (National Ecological Observatory Network 2018). A comparison between the 2 sites in 2017 was used to standardize the data among years (r2=0.97). Photosynthetically active radiation (PAR), air temperature and rain data were collected from a HOBO weather station installed near IBP Pond C until 2013. Starting in 2015, rain data were retrieved from the National Weather Service, Barrow Airport; air temperatures and atmospheric CO2 were from NOAA ESRL. For identification of unusual temperature and radiation conditions, we calculated the 95th percentile of each of these based on all data from July and August in the 4 study years (2013, 2015, 2017, 2018); as such, this is not meant to be representative of a long-term analysis, but rather represents the study period in general.

A YSI 6920 V2 multiparameter water quality sonde was deployed into IBP-C throughout the summers (early June- late August) of 2010-2013, and also for 3 weeks in late summer 2015, to record temperature and dissolved oxygen (DO) every 15 minutes. Data from the optical DO sensor was used to continually estimate NEP at IBP-C using a free-water metabolism (FWM) technique (Cole et al. 2000, Pace and Prairie 2004, Staehr et al. 2010), where hourly NEP is expressed as a function of the change in O2 minus diffusion. Diffusion and other parameters were calculated using formulae and steps described in detail elsewhere (Staehr et al. 2010). Even though there is no period of darkness in June-July in Utqiaġvik, we assumed that PAR at 2am was sufficiently low (Median = 35) to allow for estimation of respiration (R), prior to the sun setting in early August; however, it is worth noting that this assumption may be less robust at the beginning of the summer when the sun does not set. Sensor-based DO was validated against lab analyses using the Winkler method (Wetzel and Likens 2000).

Bass, A. M., M. I. Bird, M. J. Morrison, and J. Gordon. 2012. CADICA: Continuous Automated Dissolved Inorganic Carbon Analyzer with application to aquatic carbon cycle science. Limnology and Oceanography-Methods 10:10–19.

Cole, J. J., M. L. Pace, S. R. Carpenter, and J. F. Kitchell. 2000. Persistence of net heterotrophy in lakes during nutrient addition and food web manipulations. Limnology and Oceanography 45:1718–1730.

Hari, P., J. Pumpanen, J. Huotari, P. Kolari, J. Grace, T. Vesala, and A. Ojala. 2008. High-frequency measurements of productivity of planktonic algae using rugged nondispersive infrared carbon dioxide probes. Limnology and Oceanography-Methods 6:347–354.

Johnson, M. S., M. F. Billett, K. J. Dinsmore, M. Wallin, K. E. Dyson, and R. S. Jassal. 2010. Direct and continuous measurement of dissolved carbon dioxide in freshwater aquatic systems-method and applications. Ecohydrology 3:68–78.

National Ecological Observatory Network. 2018. Data Products: D18.BARR.DP1.00014.001. Provisional data downloaded from http://data.neonscience.org on 10/15/2018. Battelle, Boulder, CO, USA.

Pace, M. L., and Y. T. Prairie. 2004. Respiration in lakes. Pages 103–121 in P. J. le. B. Williams and P. A. del Giorgio, editors. Respiration in Aquatic Ecosystems. Oxford University Press.

Staehr, P. A., D. Bade, M. C. Van de Bogert, G. R. Koch, C. Williamson, P. Hanson, J. J. Cole, and T. Kratz. 2010. Lake metabolism and the diel oxygen technique: State of the science. Limnology and Oceanography-Methods 8:628–644.

Wanninkhof, R. 2014. Relationship between wind speed and gas exchange over the ocean revisited. Limnology and Oceanography: Methods 12:351–362.

Wetzel, R. G., and G. E. Likens. 2000. Limnological Analysis. Springer-Verlag, New York.

People and Organizations

Publishers:
Organization:Beaufort Lagoon Ecosystems LTER
Address:
750 Channel View Dr.,
Port Aransas, Texas 78373 United States
Email Address:
BLE-IM@utexas.edu
Web Address:
http://ble.lternet.edu
Creators:
Individual: Beaufort Lagoon Ecosystems LTER
Email Address:
BLE-IM@utexas.edu
Individual: Vanessa L Lougheed
Organization:The University of Texas at El Paso
Address:
500 W University Ave Department of Biological Sciences,
El Paso, TX 79902 USA
Phone:
915-747-6887
Email Address:
vlougheed@utep.edu
Id:https://orcid.org/0000-0002-6091-1151
Contacts:
Organization:Beaufort Lagoon Ecosystems LTER
Position:Information Manager
Address:
The University of Texas at Austin,
Austin, Texas 78759-7741 United States of America
Email Address:
BLE-IM@utexas.edu
Web Address:
http://ble.lternet.edu
Metadata Providers:
Organization:Beaufort Lagoon Ecosystems LTER
Address:
750 Channel View Dr.,
Port Aransas, Texas 78373 United States
Email Address:
BLE-IM@utexas.edu
Web Address:
http://ble.lternet.edu

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2010-06-12
End:
2018-08-02
Geographic Region:
Description:Bounding box, knb-lter-ble.1: Located in North Slope, Alaska, USA, close to Utqiaġvik (formerly Barrow). Encompasses maximum extent of accompanying data, with 0.000001 degree buffer on each side. Note that many ponds and lakes in this area were sampled in Regional Survey, along with sites along the Chukchi coast. Coordinates based on WGS84 datum, as with others in dataset.
Bounding Coordinates:
Northern:  71.383133Southern:  71.025905
Western:  -157.305763Eastern:  -155.926235
Geographic Region:
Description:Elson Lagoon: Located in North Slope, Alaska, USA, close to Utqiaġvik (formerly Barrow). Extent determined from satellite imagery at 1:250000 scale, with roughly a few hundred meters buffer on each side. Coordinates based on WGS84 datum.
Bounding Coordinates:
Northern:  71.395000Southern:  71.158000
Western:  -156.603000Eastern:  -155.914000
Sampling Site: 
Description:Elson West Lagoon Deep Station 1: Located in North Slope, Alaska, USA, close to Utqiaġvik (formerly Barrow). Coordinates based on WGS84 datum.
Site Coordinates:
Longitude (degree): -156.416500Latitude (degree): 71.337900
Sampling Site: 
Description:Elson West Lagoon Shallow Station 1: Located in North Slope, Alaska, USA, close to Utqiaġvik (formerly Barrow). Coordinates based on WGS84 datum.
Site Coordinates:
Longitude (degree): -156.564790Latitude (degree): 71.328940
Sampling Site: 
Description:IBP-C: Tundra pond, close to Utqiaġvik (formerly Barrow), North Slope, Alaska, USA. Coordinates based on WGS84 datum.
Site Coordinates:
Longitude (degree): -156.702102Latitude (degree): 71.294626

Project

Parent Project Information:

Title:LTER: Beaufort Sea Lagoons: An Arctic Coastal Ecosystem in Transition
Personnel:
Individual: Kenneth Dunton
Organization:The University of Texas at Austin, Marine Science Insitute
Phone:
361-749-6744 (voice)
Email Address:
ken.dunton@utexas.edu
Id:https://orcid.org/0000-0003-3498-8021
Role:Lead Principal Investigator
Individual: James McClelland
Organization:The University of Texas at Austin, Marine Science Insitute
Phone:
361-749-6756 (voice)
Email Address:
jimm@utexas.edu
Id:https://orcid.org/0000-0001-9619-8194
Role:Co-Lead Principal Investigator
Individual: Byron Crump
Organization:Oregon State University
Email Address:
bcrump@coas.oregonstate.edu
Id:https://orcid.org/0000-0001-7062-1273
Role:Co-Principal Investigator
Individual: Amber Hardison
Organization:The University of Texas at Austin, Marine Science Insitute
Email Address:
amber.hardison@utexas.edu
Id:https://orcid.org/0000-0002-0891-3731
Role:Co-Principal Investigator
Individual: Katrin Iken
Organization:University of Alaska Fairbanks
Email Address:
kbiken@alaska.edu
Id:https://orcid.org/0000-0001-7961-1012
Role:Co-Principal Investigator
Individual: Jeremy Kasper
Organization:University of Alaska Fairbanks
Email Address:
jlkasper@alaska.edu
Id:https://orcid.org/0000-0003-0975-6114
Role:Co-Principal Investigator
Individual: Vanessa Lougheed
Organization:The University of Texas at El Paso
Email Address:
vlougheed@utep.edu
Id:https://orcid.org/0000-0002-6091-1151
Role:Co-Principal Investigator
Individual: Andrew Mahoney
Organization:University of Alaska Fairbanks
Email Address:
armahoney@alaska.edu
Id:https://orcid.org/0000-0002-8699-3175
Role:Co-Principal Investigator
Individual: Bailey McMeans
Organization:University of Toronto Missisauga
Email Address:
bailey.mcmeans@utoronto.ca
Id:https://orcid.org/0000-0002-9793-6811
Role:Co-Principal Investigator
Individual: Michael Rawlins
Organization:University of Massachusetts Amherst
Email Address:
rawlins@geo.umass.edu
Id:https://orcid.org/0000-0002-3323-8256
Role:Co-Principal Investigator
Individual: Yvette Spitz
Organization:Oregon State University
Email Address:
yspitz@coas.oregonstate.edu
Id:https://orcid.org/0000-0002-6026-4900
Role:Co-Principal Investigator
Individual: Craig Tweedie
Organization:The University of Texas at El Paso
Email Address:
ctweedie@utep.edu
Id:https://orcid.org/0000-0002-3409-8881
Role:Co-Principal Investigator
Individual: Christina Bonsell
Organization:The University of Texas at Austin
Email Address:
cbonsell@utexas.edu
Id:https://orcid.org/0000-0002-8564-0618
Role:Project Manager
Individual: Nathan McTigue
Organization:The University of Texas at Austin
Email Address:
mctigue@utexas.edu
Id:https://orcid.org/0000-0002-7686-7095
Role:Project Manager
Individual: Timothy Whiteaker
Organization:The University of Texas at Austin
Email Address:
whiteaker@utexas.edu
Id:https://orcid.org/0000-0002-1940-4158
Role:Information Manager
Individual: An T. Nguyen
Organization:The University of Texas at Austin
Email Address:
enthusiast@utexas.edu
Id:https://orcid.org/0000-0001-6519-0173
Role:Information Manager
Abstract:

This project will establish a new Long Term Ecological Research (LTER) site along the Alaskan Arctic coastline. Research based out of Utqiagvik (formerly Barrow), Deadhorse, and Kaktovik will address how changes in shoreline erosion and freshwater inflows to the coastal ocean over seasonal, annual, and longer timeframes influence near-shore food webs. Research will be conducted in collaboration with local stakeholder groups and the U.S. Fish and Wildlife Service. This research will advance our fundamental understanding of how input of materials from land and oceanographic conditions interact to influence coastal food webs. It will also allow us to track and understand: 1) how natural climate cycles influence coastal ecosystems in the Arctic, and 2) how climate change effects such as permafrost thaw, shifting precipitation regimes, and losses of sea ice alter coastal ecosystems. Near-shore food webs along the Alaskan Arctic coastline support large populations of migratory fish and waterfowl that are essential to the culture of Iñupiat communities of northern Alaska. The research at this LTER site will create a framework for anticipating the impacts of future changes on the coastal ecosystem that are of great concern to these communities. Results from this LTER program will also be of interest to a broader science community that is working to understand potential connections between Arctic change and global carbon cycling. Finally, this LTER project includes a strong commitment to education through graduate and undergraduate student involvement, post-doctoral mentoring, continuation of a very successful Summer Science K-12 Program in Kaktovik, and establishment of a parallel K-12 program in Utqiagvik. In addition, this project will employ native high school seniors or recently graduated students living in Utqiagvik and Kaktovik as field research assistants.

Recent studies suggest that the ecological framework for understanding what controls food web structure needs to be expanded to include temporal forcing. More specifically, there is mounting evidence that differential availability of seasonally-distinct resources is critical for defining trophic linkages and maintaining stability and resilience of food webs. This new LTER program will use lagoons along the Alaskan Beaufort Sea coast as experimental units to test this concept, and broaden it to include temporal variations over longer timeframes. The Beaufort lagoons are ideal for testing this concept because they experience extreme variability in seasonal cycles, which are now subject to rapid directional shifts driven by climate change. Our overarching question is: How do variations in terrestrial inputs, local production, and exchange between lagoon and ocean waters over seasonal, inter-annual, inter-decadal, and longer timeframes interact to control food web structure through effects on carbon and nitrogen cycling, microbial and metazoan community composition, and trophic linkages? Arctic lagoons provide a unique opportunity to study these interactions in the absence of fringing wetlands that often modulate land-ocean interactions in other lagoon systems. In addition, barrier island geomorphology, which exerts a strong control on water exchange between lagoons and the open ocean, is highly dynamic in the Arctic because sea-ice effects on coastal geomorphology are superimposed on the effects of currents, sea level, and waves. Thus, connections between inputs from land and lagoon ecosystems are more direct, and water exchanges between lagoons and the open ocean are more variable than is typical of lower latitude systems. Specific study sites will be located in Elson Lagoon (western Beaufort), Simpson Lagoon and Stefansson Sound (central Beaufort), and Kaktovik and Jago lagoons (eastern Beaufort). The LTER will include seasonal field work during ice covered, ice break-up, and open water periods and also include sensor deployments for continuous measurements of key biogeochemical and hydrographic parameters.

Funding:

BLE-LTER is supported by the National Science Foundation under award #1656026 (2017-08-01 to 2022-07-31).

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'C'
        |     |     |     |  \___attribute 'constantToSI' = '273.18'
        |     |     |     |  \___attribute 'id' = 'celsius'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'celsius'
        |     |     |     |  \___attribute 'parentSI' = 'kelvin'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'SI-derived unit of temperature'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'abbreviation' = 'cm/h'
        |     |     |        \___attribute 'constantToSI' = '0'
        |     |     |        \___attribute 'id' = 'centimeterPerHour'
        |     |     |        \___attribute 'multiplierToSI' = '0.00001'
        |     |     |        \___attribute 'name' = 'centimeterPerHour'
        |     |     |        \___attribute 'parentSI' = 'kilometersPerHour'
        |     |     |        \___attribute 'unitType' = 'speed'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = '°'
        |     |     |     |  \___attribute 'id' = 'degree'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.0174532924'
        |     |     |     |  \___attribute 'name' = 'degree'
        |     |     |     |  \___attribute 'parentSI' = 'radian'
        |     |     |     |  \___attribute 'unitType' = 'angle'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text '360 degrees comprise a unit circle.'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'g/m3/day'
        |     |     |     |  \___attribute 'constantToSI' = '0'
        |     |     |     |  \___attribute 'id' = 'gramPerMeterCubedPerDay'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.001'
        |     |     |     |  \___attribute 'name' = 'gramPerMeterCubedPerDay'
        |     |     |     |  \___attribute 'parentSI' = 'kilogramPerMeterCubed'
        |     |     |     |  \___attribute 'unitType' = 'volumetricMassDensity'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'concentration unit; sometimes used for pigments in natural waters.same magnitude as microgramPerLiter'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'abbreviation' = 'g/m2/day'
        |     |     |        \___attribute 'id' = 'gramPerMeterSquaredPerDay'
        |     |     |        \___attribute 'name' = 'gramPerMeterSquaredPerDay'
        |     |     |        \___attribute 'unitType' = 'massFlux'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'abbreviation' = 'm/s'
        |     |     |        \___attribute 'id' = 'meterPerSecond'
        |     |     |        \___attribute 'name' = 'meterPerSecond'
        |     |     |        \___attribute 'unitType' = 'speed'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'microatm'
        |     |     |     |  \___attribute 'constantToSI' = '0'
        |     |     |     |  \___attribute 'id' = 'microatmosphere'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.101325'
        |     |     |     |  \___attribute 'name' = 'microatmosphere'
        |     |     |     |  \___attribute 'parentSI' = 'pascal'
        |     |     |     |  \___attribute 'unitType' = 'pressure'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text '1 microAtmosphere = 0.000001 atmospheres = 1013.25 millibars = 0.101325 Pascals = 0.0000147 lb/sq.in'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'umol/m2/day'
        |     |     |     |  \___attribute 'constantToSI' = '1'
        |     |     |     |  \___attribute 'id' = 'micromolePerMeterSquaredPerDay'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.000001'
        |     |     |     |  \___attribute 'name' = 'micromolePerMeterSquaredPerDay'
        |     |     |     |  \___attribute 'parentSI' = 'molePerMeterSquaredPerDay'
        |     |     |     |  \___attribute 'unitType' = 'amountOfSubstanceWeightFlux'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'areal uptake rate'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'mm'
        |     |     |     |  \___attribute 'id' = 'millimeter'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.001'
        |     |     |     |  \___attribute 'name' = 'millimeter'
        |     |     |     |  \___attribute 'parentSI' = 'meter'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text '.001 meters'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'mmol/m^2/day'
        |     |     |     |  \___attribute 'constantToSI' = '0'
        |     |     |     |  \___attribute 'id' = 'millimolePerMeterSquaredPerDay'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'millimolePerMeterSquaredPerDay'
        |     |     |     |  \___attribute 'parentSI' = 'mole'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'millimole per square meter per day'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'ppm'
        |     |     |     |  \___attribute 'id' = 'partsPerMillion'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'partsPerMillion'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'ratio of two quantities as parts per million (1:1000000)'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'wattPerMeterSquared'
        |     |     |     |  \___attribute 'name' = 'wattPerMeterSquared'
        |     |     |     |  \___attribute 'unitType' = 'power'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'irradiance unit'
        |     |     |     |___text '\n        '
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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