Data Package Metadata   View Summary

Model simulated hydrological estimates for the North Slope drainage basin, Alaska, 1980-2010

General Information
Data Package:
Local Identifier:knb-lter-ble.10.1
Title:Model simulated hydrological estimates for the North Slope drainage basin, Alaska, 1980-2010
Alternate Identifier:DOI PLACE HOLDER
Abstract:
Estimates of runoff, river discharge, snow water equivalent (SWE), subsurface runoff, and soil temperatures are drawn from the Permafrost Water Balance Model. The simulation and derived data span the period 1980-2010. The model was forced with daily gridded meteorological data obtained from the Modern-Era Retrospective analysis for Research and Applications (MERRA) reanalysis (version 5.2.0). The estimates of total runoff (daily), soil temperature (daily), subsurface runoff (monthly), and SWE (monthly) are expressed on a spatial grid (N=312; 25x25 km EASE-Grid version 1, Northern Hemisphere) over the North Slope drainage basin, with the coastline extending from Utqiagvik (formerly Barrow) to just west of the Mackenzie River delta. River discharge, calculated as a volume flux of runoff at each grid cell, was routed through the river network defined on a simulated topological network (STN). Archived files contain discharge flux through the grid cell representing the outlet of each of forty-two basins defined across the region on the 25 km resolution EASE-Grid. Details of the PWBM, forcing variables, model validation and results of analysis are described in Rawlins et al. (2019).
Short Name:hydromodel
Publication Date:2019
Language:English

Time Period
Begin:
1980-01-01
End:
2010-12-31

People and Organizations
Contact:Information Manager (Beaufort Lagoon Ecosystems LTER) [  email ]
Creator:Beaufort Lagoon Ecosystems LTER
Creator:Rawlins, Michael (University of Massachusetts Amherst)

Data Entities
Data Table Name:
Runoff from North Slope basins, model estimates, 1980-2010
Description:
Daily model estimated runoff, North Slope drainage basin, Alaska, 1980-2010
Data Table Name:
Baseflow from North Slope basins, model estimates, 1980-2010
Description:
Monthly model estimated subsurface runoff, North Slope drainage basin, Alaska, 1980-2010
Data Table Name:
Snow water equivalent from North Slope basins, model estimates, 1980-2010
Description:
Monthly model estimated snow water equivalence, North Slope drainage basin, Alaska, 1980-2010
Data Table Name:
Soil temperatures from North Slope basins, model estimates, 1980-2010
Description:
Daily model estimated soil temperatures in 15 layers to depth 3.25 meters below the surface, North Slope drainage basin, Alaska, 1980-2010
Data Table Name:
Discharge/export from North Slope basins, model estimates, 1980-2010
Description:
Daily model estimated discharge/export, North Slope drainage basin, Alaska, 1980-2010
Data Table Name:
Model domain definition
Description:
Model grid cells coordinates and corresponding GHAAS basins
Data Table Name:
GHAAS basins modelled
Description:
GHAAS basins listed in model, North Slope, Alaska. IDs are based on the Global Hydrologic Archive and Analysis System (GHAAS).
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/10/1/4623834cf28d56c0c67e3ef72580a8f0
Name:Runoff from North Slope basins, model estimates, 1980-2010
Description:Daily model estimated runoff, North Slope drainage basin, Alaska, 1980-2010
Number of Records:10000
Number of Columns:4

Table Structure
Object Name:BLE_LTER_hydromodel_runoff.csv
Size:321719 byte
Authentication:281ee62738b3e14c5e5a2bbd617fa369 Calculated By MD5
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
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Table Column Descriptions
 DateLatitudeLongitudeRunoff
Column Name:date  
latitude  
longitude  
runoff  
Definition:Date YYYY-MM-DDLatitude at center of model grid cell. Coordinates based on EASE-grid 1.0, Northern Hemisphere.Longitude at center of model grid cell. Coordinates based on EASE-grid 1.0, Northern Hemisphere.Daily runoff
External Measurement Definition, Link: containsMeasurementsOfType surface runoff
Storage Type:date  
float  
float  
float  
Measurement Type:dateTimeintervalintervalratio
Measurement Values Domain:
FormatYYYY-MM-DD
Precision1
Unitdegree
Typereal
Unitdegree
Typereal
UnitmilimeterPerDay
Typereal
Missing Value Code:        
Accuracy Report:        
Accuracy Assessment:        
Coverage:        
Methods:        

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/10/1/b3bf63985eab6fa89d52db1dea00d509
Name:Baseflow from North Slope basins, model estimates, 1980-2010
Description:Monthly model estimated subsurface runoff, North Slope drainage basin, Alaska, 1980-2010
Number of Records:116064
Number of Columns:4

Table Structure
Object Name:BLE_LTER_hydromodel_baseflow.csv
Size:3293410 byte
Authentication:3e7bafd70aa22bb82ddc56a7a1eda6b8 Calculated By MD5
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 MonthLatitudeLongitudeBaseflow
Column Name:month  
latitude  
longitude  
baseflow  
Definition:Month YYYY-MMLatitude at center of model grid cell. Coordinates based on EASE-grid 1.0, Northern Hemisphere.Longitude at center of model grid cell. Coordinates based on EASE-grid 1.0, Northern Hemisphere.Monthly total of model estimated baseflow or subsurface runoff originating below the surface
External Measurement Definition, Link: containsMeasurementsOfType Subsurface Runoff MOV
Storage Type:date  
float  
float  
float  
Measurement Type:dateTimeintervalintervalratio
Measurement Values Domain:
FormatYYYY-MM
Precision1
Unitdegree
Typereal
Unitdegree
Typereal
UnitmilimeterPerMonth
Typereal
Missing Value Code:        
Accuracy Report:        
Accuracy Assessment:        
Coverage:        
Methods:        

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/10/1/3a15de16ebcaf74cf445bd62658f4c1c
Name:Snow water equivalent from North Slope basins, model estimates, 1980-2010
Description:Monthly model estimated snow water equivalence, North Slope drainage basin, Alaska, 1980-2010
Number of Records:116064
Number of Columns:4

Table Structure
Object Name:BLE_LTER_hydromodel_snow_water_equivalent.csv
Size:3484047 byte
Authentication:25a6bda8c6b261aac2e826b1645551a4 Calculated By MD5
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 MonthLatitudeLongitudeSnow water equivalent
Column Name:month  
latitude  
longitude  
snow_water_equivalent  
Definition:Month YYYY-MMLatitude at center of model grid cell. Coordinates based on EASE-grid 1.0, Northern Hemisphere.Longitude at center of model grid cell. Coordinates based on EASE-grid 1.0, Northern Hemisphere.Monthly total of model estimated snow water equivalent
External Measurement Definition, Link: containsMeasurementsOfType snow water equivalent
Storage Type:date  
float  
float  
float  
Measurement Type:dateTimeintervalintervalratio
Measurement Values Domain:
FormatYYYY-MM
Precision1
Unitdegree
Typereal
Unitdegree
Typereal
UnitmilimeterPerMonth
Typereal
Missing Value Code:        
Accuracy Report:        
Accuracy Assessment:        
Coverage:        
Methods:        

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/10/1/823d4f3fdce8fa578aaf384bcf7af3bb
Name:Soil temperatures from North Slope basins, model estimates, 1980-2010
Description:Daily model estimated soil temperatures in 15 layers to depth 3.25 meters below the surface, North Slope drainage basin, Alaska, 1980-2010
Number of Records:10000
Number of Columns:5

Table Structure
Object Name:BLE_LTER_hydromodel_soiltemps.csv
Size:390901 byte
Authentication:b7ed89869d88118e6dad4ac02d6df282 Calculated By MD5
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 DateLatitudeLongitudeSoil depthSoil temperature
Column Name:date  
latitude  
longitude  
soil_depth  
soil_temperature  
Definition:Date YYYY-MM-DDLatitude at center of model grid cell. Coordinates based on EASE-grid 1.0, Northern Hemisphere.Longitude at center of model grid cell. Coordinates based on EASE-grid 1.0, Northern Hemisphere.Soil depthEstimated soil temperature
External Measurement Definition, Link: containsMeasurementsOfType soil temperature
Storage Type:date  
float  
float  
float  
float  
Measurement Type:dateTimeintervalintervalratiointerval
Measurement Values Domain:
FormatYYYY-MM-DD
Precision1
Unitdegree
Typereal
Unitdegree
Typereal
Unitmeter
Typereal
Unitcelsius
Typereal
Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/10/1/98376344ac08bd0832b007ccad86c333
Name:Discharge/export from North Slope basins, model estimates, 1980-2010
Description:Daily model estimated discharge/export, North Slope drainage basin, Alaska, 1980-2010
Number of Records:460194
Number of Columns:4

Table Structure
Object Name:BLE_LTER_hydromodel_discharge_export.csv
Size:15232189 byte
Authentication:1fe74bab57aa5a7901e56517f028d5ac Calculated By MD5
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
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Table Column Descriptions
 GHAAS river basin IDDateDischarge/exportCumulative discharge/export
Column Name:ghaas_basin_id  
date  
export  
export_cumulative  
Definition:Basin ID in the Global Hydrologic Archive and Analysis System (GHAAS)Date YYYY-MM-DDDaily model estimated discharge or exportEstimated cumulative discharge or export from start of temporal domain (1980-01-01) to corresponding date
External Measurement Definition, Link: containsMeasurementsOfType water discharge
Storage Type:integer  
date  
float  
float  
Measurement Type:nominaldateTimeratioratio
Measurement Values Domain:
Definitionany text
FormatYYYY-MM-DD
Precision1
UnitkilometerCubed
Typereal
UnitkilometerCubed
Typereal
Missing Value Code:        
Accuracy Report:        
Accuracy Assessment:        
Coverage:        
Methods:        

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/10/1/5afd8857bea2cc2ea4c5b4cf819aa8a3
Name:Model domain definition
Description:Model grid cells coordinates and corresponding GHAAS basins
Number of Records:312
Number of Columns:5

Table Structure
Object Name:BLE_LTER_hydromodel_domain.csv
Size:9747 byte
Authentication:931f8c15de98ff2a4c1021917dba088a Calculated By MD5
Text Format:
Number of Header Lines:1
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Table Column Descriptions
 EASE-Grid rowEASE-Grid columnLatitudeLongitudeGHAAS river basin ID
Column Name:grid_row  
grid_column  
latitude  
longitude  
ghaas_basin_id  
Definition:Row number from the EASE-Grid version 1, Northern Hemisphere 721x721 matrix.Column number from the EASE-Grid version 1, Northern Hemisphere 721x721 matrix.Latitude at center of model grid cell. Coordinates based on EASE-grid 1.0, Northern Hemisphere.Longitude at center of model grid cell. Coordinates based on EASE-grid 1.0, Northern Hemisphere.Basin ID in the Global Hydrologic Archive and Analysis System (GHAAS)
Storage Type:integer  
integer  
float  
float  
integer  
Measurement Type:intervalintervalintervalintervalnominal
Measurement Values Domain:
Unitdimensionless
Typeinteger
Unitdimensionless
Typeinteger
Unitdegree
Typereal
Unitdegree
Typereal
Definitionany text
Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/10/1/f0c16c56177f1731e42509c59cb18d3d
Name:GHAAS basins modelled
Description:GHAAS basins listed in model, North Slope, Alaska. IDs are based on the Global Hydrologic Archive and Analysis System (GHAAS).
Number of Records:42
Number of Columns:5

Table Structure
Object Name:BLE_LTER_hydromodel_basins.csv
Size:1849 byte
Authentication:05575bf911b54287904e73a92eeb742d Calculated By MD5
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
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Table Column Descriptions
 LatitudeLongitudeGHAAS river basin IDBasin areaBasin name
Column Name:latitude  
longitude  
ghaas_basin_id  
basin_area  
basin_name  
Definition:Latitude at center of the model grid cell representing the basin outlet at the coast. Coordinates based on EASE-grid 1.0, Northern Hemisphere.Longitude at center of the model grid cell representing the basin outlet at the coast. Coordinates based on EASE-grid 1.0, Northern Hemisphere.Basin ID in the Global Hydrologic Archive and Analysis System (GHAAS)Basin area in square kilometersBasin name as listed in the Global Hydrologic Archive and Analysis System (GHAAS). Note that named rivers might be unnamed in GHAAS.
Storage Type:float  
float  
integer  
integer  
string  
Measurement Type:intervalintervalnominalrationominal
Measurement Values Domain:
Unitdegree
Typereal
Unitdegree
Typereal
Definitionany text
UnitkilometerSquared
Typeinteger
Definitionany text
Missing Value Code:          
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.

External Annotations

With link(s) out to external vocabularies
Dataset isAbout hydrological process
Dataset isAbout permafrost

Keywords

By Thesaurus:
LTER Controlled Vocabulary v1discharge, hydrologic processes, hydrology, permafrost, runoff, seasonality, snow water equivalent, soil temperature, water balance
Geographic Names Information SystemBeaufort Sea, Canning River, Colville River, Kuparuk River, Meade 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:

The North Slope regional hydrology is characterized by water fluxes and storages expressed in simulations using a spatially-distributed numerical model (Permafrost Water Balance Model, PWBM, Rawlins et al., 2019). Model input and output fields are resolved at a daily time step. The PWBM includes a multi-layer snow model that accounts for wind compaction, change in density due to fresh snowfall, and depth hoar development with time. Runoff is the sum total of surface (overland) and subsurface flow each day. Subsurface runoff occurs when the amount of water in a soil layer exceeds field capacity. Recent modifications included the incorporation of new data and parameterizations for surface fractional open water (fw) cover, soil carbon content, and transient ponded surface evaporation and runoff. Updates to the spatial estimates of fw were drawn from a product derived from brightness temperature (Tb) retrievals from the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) (Du et al., 2017) to parameterize the grid cell fraction of open water (annual average) across the model domain. Properties of near surface organic-rich soils strongly control hydrological and thermal dynamics in the seasonally thawed active layer. We used soil organic carbon (SOC) estimates from version 2.2 of the Northern Circumpolar Soil Carbon Database (NCSCD), a digital soil map database linked to extensive field-based SOC storage data (Hugelius et al., 2014). The PWBM was run in a 50-year spinup over the year 1980 to stabilize soil temperature and water storage pools. This spinup was followed by a 30-year transient simulation over the period 1981–2010, the focus of our analysis. Model calibration is performed to adapt the model and optimize its performances in simulating the water cycle across the study domain and involved the surface transient storage pool and river flow velocity. To simulate river discharge (Q), model estimated R was routed through a simulated topological network (STN) (Vörösmarty et al., 2000) and expressed as a volume flux at each grid cell including coastal outlets of 42 watersheds defined at the 25 km scale draining from Utqiagvik (formerly Barrow) to just west of the Mackenzie River delta. A simple linear routing model was used given the relatively short travel times through the North Slope basins. Water transferred to the downstream grid or exported at the coast is

Qout= S(v/d)

where Qout (cubic meters per second) is grid cell flow downstream, v is flow velocity (meters per second), d is the distance between grid cells (meters), and S is volume of river water (cubic meters). Additional details of the model setup and simulations can be found in Rawlins et al. (2019).

Du, J., Kimball, J. S., Duguay, C., Kim, Y., and Watts, J. D.:Satellite microwave assessment of Northern Hemisphere lake ice phenology from 2002 to 2015, The Cryosphere, 11, 47–63, https://doi.org/10.5194/tc-11-47-2017, 2017.

Hugelius, G., Strauss, J., Zubrzycki, S., Harden, J. W., Schuur, E. A. G., Ping, C.-L., Schirrmeister, L., Grosse, G., Michaelson, G. J., Koven, C. D., O’Donnell, J. A., Elberling, B., Mishra, U., Camill, P., Yu, Z., Palmtag, J., and Kuhry, P.: Estimated stocks of circumpolar permafrost carbon with quantified uncertainty ranges and identified data gaps, Biogeosciences, 11, 6573–6593, https://doi.org/10.5194/bg-11-6573-2014, 2014.

Rawlins, M. A., Cai, L., Stuefer, S. L., and Nicolsky, D.: Changing Characteristics of Runoff and Freshwater Export From Watersheds Draining Northern Alaska, The Cryosphere, 13, 1–16, https://doi.org/10.5194/tc-13-1-2019, 2019.

Vörösmarty, C. J., Fekete, B. M., Maybeck, M., and Lammers, R. B.: Gloabl System of Rivers: Its Role in Organizing Continental Land Mass and Defining Land-to-Ocean Linkages, Global Biogeochem. Cy., 14, 599–621, https://doi.org/10.1029/1999GB900092, 2000.

People and Organizations

Publishers:
Organization:Beaufort Lagoon Ecosystems LTER
Address:
750 Channel View Dr.,
Port Aransas, TX 78373 USA
Email Address:
BLE-IM@utexas.edu
Web Address:
https://ble.lternet.edu/
Creators:
Individual: Beaufort Lagoon Ecosystems LTER
Address:
750 Channel View Dr.,
Port Aransas, TX 78373 USA
Email Address:
BLE-IM@utexas.edu
Web Address:
https://ble.lternet.edu/
Individual: Michael Rawlins
Organization:University of Massachusetts Amherst
Address:
233 Morill Science Center II,
Amherst, MA 01003 USA
Email Address:
rawlins@geo.umass.edu
Id:https://orcid.org/0000-0002-3323-8256
Contacts:
Organization:Beaufort Lagoon Ecosystems LTER
Position:Information Manager
Address:
The University of Texas at Austin,
Austin, TX 78758 USA
Email Address:
BLE-IM@utexas.edu
Web Address:
https://ble.lternet.edu/
Metadata Providers:
Organization:Beaufort Lagoon Ecosystems LTER
Address:
750 Channel View Dr.,
Port Aransas, TX 78373 USA
Email Address:
BLE-IM@utexas.edu
Web Address:
https://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:
1980-01-01
End:
2010-12-31
Geographic Region:
Description:North Slope drainage basin: Bounding box encompasses 42 drainage basins totaling the North Slope drainage basin, Alaska, USA.
Bounding Coordinates:
Northern:  71.238300Southern:  67.685000
Western:  -160.594000Eastern:  -134.105000

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 established 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).

Additional Award Information:
Funder:National Science Foundation
Funder ID:http://dx.doi.org/10.13039/100000001
Number:1656026
Title:LTER: Beaufort Sea Lagoons: An Arctic Coastal Ecosystem in Transition
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=1656026

Maintenance

Maintenance:
Description:No regular updates anticipated.
Frequency:notPlanned
Other Metadata

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