CF020: Solute dynamics in the hyporheic mesocosm in Watershed 1 at the H.J. Andrews Experimental Forest, 2019-2020
Notice
"As Is" Basis: All content, including maps and forecasts, is provided without warranties. Users are advised to independently verify critical information.
Citation
Herzog, S.; Wondzell, S.; Ward, A. 2025. Solute dynamics in the hyporheic mesocosm in Watershed 1 at the H.J. Andrews Experimental Forest, 2019-2020 Long-Term Ecological Research Andrews Forest LTER Site. [Database]. Available: https://andrewsforest-stage.forestry.oregonstate.edu/data/fsdb-data-catalog/CF020 Accessed 2026-05-10.
Abstract
We investigated biogeochemistry along a 12-m hyporheic mesocosm that allowed for controlled testing of seasonal and spatial water quality changes along a flowpath with fixed geometry and constant flow rate. Water quality profiles of oxygen, carbon, and nitrogen were measured at 1-m intervals along the mesocosm over multiple seasons. dissolved oxygen (DO) and temperature profiles were monitored on 18 dates between May 2019 through August 2020. Grab samples to monitor profiles of carbon, nitrogen, and various other solutes along the mesocosm were collected in December 2019 and August 2020 to provide more comprehensive biogeochemical analyses at time points when the dissolved oxygen (DO) and temperature profiles were at or near the maximum seasonal differences. Mesocosm monitoring ceased abruptly due to the Holiday Farm Fire, which burned from September through October 2020, cutting off personnel access and electrical power to the mesocosm facility.
Coverage
Temporal coverage: 2019-05-31 to 2020-08-18
Geographic coverage: Geographic Extent: Watershed 1 (WS01) of the H.J. Andrews Experimental Forest
Spatial coverage:
Bounds: W -122.25802700, E -122.25802700, N 44.20733900, S 44.20733900
Purpose
- Hyporheic exchange is critical to river corridor biogeochemistry, but decameter-scale flowpaths (~10-m long) are understudied due to logistical challenges (e.g., sampling at depth, multi-day transit times). Some studies suggest that decameter-scale flowpaths should have initial hot spots followed by transport-limited conditions, whereas others suggest steady reaction rates and secondary reactions that could make decameter-scale flowpaths important and unique. We investigated biogeochemistry along a 12-m hyporheic mesocosm that allowed for controlled testing of seasonal and spatial water quality changes along a flowpath with fixed geometry and constant flow rate. Our objective in this study was to quantify the controls on transport- vs. reaction limitation for multiple key constituents in a decameter-scale hyporheic flowpath. Specifically, we asked: (1) How variable is DO, N, and C biogeochemistry between summer and winter, given natural variation in both influent reactant loads and temperature? We expect seasonal water temperature and organic carbon availability to control aerobic respiration rates and the timing and location of oxic-anoxic transitions. (2) How variable is DO, N, and C biogeochemistry along a fixed-geometry, 12-m flowpath? We expect to identify the most rapid transformations (i.e., hot spots) of all three reactants at the upstream (or proximal end) of the flowpath, where influent concentrations are highest, compared to the downstream (or distal end) of the flowpath.
Project
Title: Long-Term Ecological Research
Personnel
-
Posy Elizabeth Busby - Principal Investigator Assistant Professor OSU Botany & Plant PathologyEmail: busbyp@science.oregonstate.edu, posybusby@gmail.comORCID: 0000-0002-2837-9820
-
Matthew G Betts - Principal Investigator Department of Forest Ecosystems and Society; 201E Richardson Hall; College of Forestry; Oregon State University, Corvallis, OR, 97331Phone: (541) 737-3841Email: matt.betts@oregonstate.eduORCID: 0000-0002-7100-2551
-
Brooke E. Penaluna - Principal Investigator Email: brooke.penaluna@usda.gov, Brooke.Penaluna@oregonstate.eduORCID: 0000-0001-7215-770X
-
Catalina Segura - Principal Investigator Assistant Professor; Department of Forest Engineering, Resources, and Management; Oregon State University, Corvallis, OR, 97331Phone: 541-737-6568Email: catalina.segura@oregonstate.eduORCID: 0000-0002-0924-1172
-
David M. Bell - Principal Investigator Email: david.bell@usda.gov, david.bell@oregonstate.eduORCID: 0000-0002-2673-5836
Abstract
- The H.J. Andrews Experimental Forest is a living laboratory that provides unparalleled opportunities for the study of forest and stream ecosystems in the central Cascade Range of Oregon. Since 1980, as a part of the National Science Foundation Long Term Ecological Research (NSF-LTER) program, the Andrews Experimental Forest has become a leader in the analysis of forest and stream ecosystem dynamics.
- Long-term field experiments and measurement programs have focused on climate dynamics, streamflow, water quality, and vegetation succession. Currently researchers are working to develop concepts and tools needed to predict effects of natural disturbance, land use, and climate change on ecosystem structure, function, and species composition.
- The Andrews Experimental Forest is administered cooperatively by the USDA Forest Service Pacific Northwest Research Station, Oregon State University and the Willamette National Forest. Funding for the research program comes from the National Science Foundation (NSF), US Forest Service Pacific Northwest Research Station, Oregon State University, and other sources.
Funding
Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University. National Science Foundation: DEB2025755
Awards
-
LTER: Long-Term Ecological Research at the H.J. Andrews Experimental Forest (LTER8) Award Number: DEB2025755Funder: National Science FoundationFunder Identifier: https://ror.org/021nxhr62
Study Area Description
-
Long-Term Ecological Research The Andrews Forest is situated in the western Cascade Range of Oregon, and covers the entire 15,800-acre (6400-ha) drainage basin of Lookout Creek. Elevation ranges from 1350 to 5340 feet (410 to 1630 m). Broadly representative of the rugged mountainous landscape of the Pacific Northwest, the Andrews Forest contains excellent examples of the region's conifer forests and associated wildlife and stream ecosystems. These forests are among the tallest and most productive in the world, with tree heights of often greater than 250 ft (75 m). Streams are steep, cold and clean, providing habitat for numerous aquatic organisms.
Associated Party
-
Steven M. Wondzell
Role: Principal InvestigatorPacific Northwest Research Station; Corvallis Forestry Sciences Lab; 3200 SW Jefferson Way, Corvallis, OR, 97331, USAPhone: 541-758-8753Email: steve.wondzell@usda.gov
-
Adam S. Ward
Role: Principal InvestigatorDept. Head & Professor; Biological & Ecological Engineering; Oregon State UniversityEmail: adam.ward@oregonstate.edu
-
Skuyler Herzog
Role: CreatorAssistant Professor; Natural Resources Program; Oregon State University-CascadesEmail: skuyler.herzog@osucascades.edu
-
Steven M. Wondzell
Role: CreatorPacific Northwest Research Station; Corvallis Forestry Sciences Lab; 3200 SW Jefferson Way, Corvallis, OR, 97331, USAPhone: 541-758-8753Email: steve.wondzell@usda.gov
-
Adam S. Ward
Role: CreatorDept. Head & Professor; Biological & Ecological Engineering; Oregon State UniversityEmail: adam.ward@oregonstate.edu
-
Roy Haggerty
Role: Other ResearcherDept. of Geosciences;Wilkinson 104;Oregon State University, Corvallis, OR, 97331, USAPhone: 541-737-1210Email: haggertr@geo.oregonstate.edu
Contact
-
Information Manager
Andrews Forest LTER Program, US Forest Service Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR, 97331Email: hjaweb@lists.oregonstate.edu
-
Skuyler Herzog
Assistant Professor; Natural Resources Program; Oregon State University-CascadesEmail: skuyler.herzog@osucascades.edu
Publisher
-
Andrews Forest LTER Site
Role: PublisherForest Ecosystems and Society Department in Forestry, Oregon State University, 201K Richardson Hall, Corvallis, OR, 97331-5752Phone: (541) 737-8480Email: lterweb@lists.oregonstate.edu
Study Description
We investigated biogeochemistry along a 12-m hyporheic mesocosm that allowed for controlled testing of seasonal and spatial water quality changes along a flowpath with fixed geometry and constant flow rate. Water quality profiles of oxygen, carbon, and nitrogen were measured at 1-m intervals along the mesocosm over multiple seasons. dissolved oxygen (DO) and temperature profiles were monitored on 18 dates between May 2019 through August 2020. Grab samples to monitor profiles of carbon, nitrogen, and various other solutes along the mesocosm were collected in December 2019 and August 2020 to provide more comprehensive biogeochemical analyses at time points when the dissolved oxygen (DO) and temperature profiles were at or near the maximum seasonal differences. Mesocosm monitoring ceased abruptly due to the Holiday Farm Fire, which burned from September through October 2020, cutting off personnel access and electrical power to the mesocosm facility. Hyporheic exchange is critical to river corridor biogeochemistry, but decameter-scale flowpaths (~10-m long) are understudied due to logistical challenges (e.g., sampling at depth, multi-day transit times). Some studies suggest that decameter-scale flowpaths should have initial hot spots followed by transport-limited conditions, whereas others suggest steady reaction rates and secondary reactions that could make decameter-scale flowpaths important and unique. We investigated biogeochemistry along a 12-m hyporheic mesocosm that allowed for controlled testing of seasonal and spatial water quality changes along a flowpath with fixed geometry and constant flow rate. Our objective in this study was to quantify the controls on transport- vs. reaction limitation for multiple key constituents in a decameter-scale hyporheic flowpath. Specifically, we asked: (1) How variable is DO, N, and C biogeochemistry between summer and winter, given natural variation in both influent reactant loads and temperature? We expect seasonal water temperature and organic carbon availability to control aerobic respiration rates and the timing and location of oxic-anoxic transitions. (2) How variable is DO, N, and C biogeochemistry along a fixed-geometry, 12-m flowpath? We expect to identify the most rapid transformations (i.e., hot spots) of all three reactants at the upstream (or proximal end) of the flowpath, where influent concentrations are highest, compared to the downstream (or distal end) of the flowpath. Field Methods - CF020
Purpose: Hyporheic exchange is critical to river corridor biogeochemistry, but decameter-scale flowpaths (~10-m long) are understudied due to logistical challenges (e.g., sampling at depth, multi-day transit times). Some studies suggest that decameter-scale flowpaths should have initial hot spots followed by transport-limited conditions, whereas others suggest steady reaction rates and secondary reactions that could make decameter-scale flowpaths important and unique. We investigated biogeochemistry along a 12-m hyporheic mesocosm that allowed for controlled testing of seasonal and spatial water quality changes along a flowpath with fixed geometry and constant flow rate. Our objective in this study was to quantify the controls on transport- vs. reaction limitation for multiple key constituents in a decameter-scale hyporheic flowpath. Specifically, we asked: (1) How variable is DO, N, and C biogeochemistry between summer and winter, given natural variation in both influent reactant loads and temperature? We expect seasonal water temperature and organic carbon availability to control aerobic respiration rates and the timing and location of oxic-anoxic transitions. (2) How variable is DO, N, and C biogeochemistry along a fixed-geometry, 12-m flowpath? We expect to identify the most rapid transformations (i.e., hot spots) of all three reactants at the upstream (or proximal end) of the flowpath, where influent concentrations are highest, compared to the downstream (or distal end) of the flowpath.
Methods
Method Steps
Field Methods - CF020
- DO and temperature were measured with a handheld YSI ProODO probe. A flow-through sampling chamber was affixed to the sampling port between each mesocosm column, and the DO probe was submerged in the chamber and allowed to equilibrate.
- All mesocosm sampling (i.e., DO, grab samples) started at the downstream end of the mesocosm (x = 12 m) and worked upstream toward the mesocosm inlet (x = 0 m) to minimize the interference of sampling on water quality. We sampled at the ambient flow rate from tubing that connects each pipe segment rather than pumping from the porewater because pumping may disturb the ambient flow conditions. Sampling at the ambient flow rate took several hours, but this was less than the mean travel time of a single pipe segment.
- Water samples for DOC, NH3, NO3+NO2, and total dissolved nitrogen (TDN) were collected in acid-washed 250 mL HDPE Nalgene® bottles. Dissolved inorganic carbon (DIC) samples were collected unfiltered in acid-washed 60 mL BD® syringes. Samples were stored on ice upon collection and then delivered to the Cooperative Chemical Analytical Laboratory in Corvallis, Oregon, within 24 hours of collection.
Laboratory Methods - CF020
- At the Cooperative Chemical Analytical Laboratory (CCAL) in Corvallis, Oregon, unfiltered DIC was analyzed within 24 hours. Filtered DOC aliquots were separated, refrigerated, and analyzed within 48 hours for the winter sample but within 60 days for the summer sample. The remaining filtered samples were frozen for less than 60 days before being thawed and analyzed. Carbon samples were then analyzed using a Shimadzu TOC-VSCH Combustion Carbon Analyzer. NH3, NO3+NO2 were analyzed via Lachat QuikChem 8500 Flow Injection Analyzer, while TDN was analyzed by Technicon Auto-Analyzer II.
- All laboratory analyses followed CCAL’s standard operating procedures and thus are consistent with other water chemistry data collected at the H. J. Andrews Experimental Forest (for example, dataset CF002 Stream chemistry concentrations; https://andlter.forestry.oregonstate.edu/data/abstractdetail.aspx?dbcode=CF002).
- The CCAL standard operating procedure for DOC and DIC analyses were developed from American Public Health Association (APHA) methods. Citations for the methods used in DOC and DIC analyses will be in the following format: (CCAL standard operating procedure, APHA method, comparable EPA method, method detection limit).
Sampling
Study Extent
- Site Description: The mesocosm facility is located adjacent to the stream gauge of Watershed 1 (WS01), in a 2nd-order mountain stream in the H.J. Andrews Experimental Forest (44.20741 N, 122.25831 W). The 96-ha watershed is drained by a steep (~12% gradient) cobble and gravel-bedded stream that flows over a series of step-pool sequences formed by logs and boulders. Stream water was pumped directly from WS01 and into the mesocosm.
- Sampling frequency: monthly to seasonally
Sampling Description
- DO and temperature profiles were monitored on 18 dates between May 2019 through August 2020. Our goal was to monitor DO and temperature profiles approximately once per month to capture a wide range of seasonal conditions, but the actual frequency of monitoring varied based on personnel availability and access conditions for this remote site. Grab samples to monitor profiles of carbon and nitrogen along the mesocosm were collected in December 2019 (hereafter referred to as winter samples) and August 2020 (hereafter referred to as summer samples) to provide more comprehensive biogeochemical analyses at time points when the DO and temperature profiles were at or near the maximum seasonal differences. Mesocosm monitoring ceased abruptly due to the Holiday Farm Fire, which burned from September through October 2020, cutting off personnel access and electrical power to the mesocosm facility.
Spatial Sampling Units
-
Andrews Experimental Forest (HJA)
W -122.26172200, E -122.10084700, N 44.28196400, S 44.19770400Altitude: 1631 to 1631 meter
-
Andrews Watershed 1
W -122.25683100, E -122.23581300, N 44.20851700, S 44.19901700Altitude: 1027 to 1027 meter
-
WS1 hyporheic mesocosm facility located at WS1 gage house
W -122.25802700, E -122.25802700, N 44.20733900, S 44.20733900Altitude: 439 to 439 meter
Software
No software entries listed in this EML file.
Keywords
- LTER controlled vocabulary: hydrology (theme), biogeochemistry (theme), hyporheic (theme)
Taxonomic Hierarchy
No taxonomic hierarchy listed in this EML file.
Data Entities
| # | Entity | Metadata | Data |
|---|---|---|---|
| 1 |
CF02001
Dissolved oxygen profile along the mesocosm Dissolved oxygen (do) and temperature at 1m distance across a 12 meter mesocosm |
METADATA | DATA |
| 2 |
CF02002
Full Analyte Profile Full analyte profile of a winter and summer sample from watershed 1 |
METADATA | DATA |
Metadata
CF02001 - Dissolved oxygen profile along the mesocosm
Object name: CF02001_v1.csv
Records: 270
Attributes: 12
Temporal coverage: 2019-05-31 to 2020-08-18
File size: 17800 byte
Checksum (MD5): 93fe770ad9924af70d36d84eb15ccbd7
Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column
Constraints (2)
-
primaryKey: PRIMARY CF02001.SAMPLE_DATE, CF02001.SAMPLE_POSITION, CF02001.SAMPLE_RUN, CF02001.SITECODE
-
notNullConstraint: NOTNULL CF02001.DBCODE, CF02001.ENTITY, CF02001.SAMPLE_DATE, CF02001.SAMPLE_ID, CF02001.SAMPLE_POSITION, CF02001.SAMPLE_RUN, CF02001.SITECODE
Attributes (12)
DBCODE - char(5) (nominal)
ID: CF02001.DBCODE
FSDB Database Code
Type system: Microsoft SQL Server 2019
Code definitions (1)
-
CF020
FSDB Database Study Code
ENTITY - numeric(2,0) (ratio)
ID: CF02001.ENTITY
Entity number
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1
Numeric domain: type=natural, min=1.0000 (exclusive=false), max=1.0000 (exclusive=false)
SITECODE - char(6) (ordinal)
ID: CF02001.SITECODE
Code for where the experiment was conducted
Type system: Microsoft SQL Server 2019
Code definitions (1)
-
WS1HMF
WS1 hyporheic mesocosm facility located at WS1 gage house
SAMPLE_DATE - datetime (dateTime)
ID: CF02001.SAMPLE_DATE
date of sample collection
Type system: Microsoft SQL Server 2019
Date format: YYYY-MM-DD
SAMPLE_TIME - char(5) (nominal)
ID: CF02001.SAMPLE_TIME
time of sample collection
Type system: Microsoft SQL Server 2019
SAMPLE_ID - char(7) (nominal)
ID: CF02001.SAMPLE_ID
Unique identifier for every sample (a concatenation of sample run and position)
Type system: Microsoft SQL Server 2019
SAMPLE_RUN - numeric(2,0) (ratio)
ID: CF02001.SAMPLE_RUN
Unique run number for the mesocosm experiment (based on sample date)
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1
Numeric domain: type=natural, min=1.0000 (exclusive=false), max=18.0000 (exclusive=false)
SAMPLE_POSITION - char(3) (nominal)
ID: CF02001.SAMPLE_POSITION
Unique sample position measured during run at specifc date, time, and distance
Type system: Microsoft SQL Server 2019
Code definitions (15)
-
STB
Stream sample before mesocosm run starts
-
S00
Mesocosm sample at meter 0
-
S01
Mesocosm sample at meter 1
-
S02
Mesocosm sample at meter 2
-
S03
Mesocosm sample at meter 3
-
S04
Mesocosm sample at meter 4
-
S05
Mesocosm sample at meter 5
-
S06
Mesocosm sample at meter 6
-
S07
Mesocosm sample at meter 7
-
S08
Mesocosm sample at meter 8
-
S09
Mesocosm sample at meter 9
-
S10
Mesocosm sample at meter 10
-
S11
Mesocosm sample at meter 11
-
S12
Mesocosm sample at meter 12
-
STA
Stream sample after mesocosm run conclusion
DISTANCE - numeric(2,0) (ratio)
ID: CF02001.DISTANCE
distance along the mescocosm
Type system: Microsoft SQL Server 2019
Unit: meters
Precision: 1
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=12.0000 (exclusive=false)
DO - numeric(5,2) (ratio)
ID: CF02001.DO
Dissolved oxygen concentration in water at time of collection
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=0.1200 (exclusive=false), max=13.1600 (exclusive=false)
TEMPERATURE - numeric(4,1) (ratio)
ID: CF02001.TEMPERATURE
Temperature of water at time of collection
Type system: Microsoft SQL Server 2019
Unit: degrees Celsius
Precision: 1
Numeric domain: type=real, min=2.7000 (exclusive=false), max=21.1000 (exclusive=false)
TRAVELTIME - numeric(5,2) (ratio)
ID: CF02001.TRAVELTIME
Median residence travel time in hyporheic mesocosm
Type system: Microsoft SQL Server 2019
Unit: number of hours
Precision: 1
Numeric domain: type=real, min=4.5500 (exclusive=false), max=54.5500 (exclusive=false)
CF02002 - Full Analyte Profile
Object name: CF02002_v1.csv
Records: 51
Attributes: 30
Temporal coverage: 2019-12-16 to 2020-08-18
File size: 6670 byte
Checksum (MD5): 9572b98650d5179c3e9c0bf91b18ee10
Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column
Constraints (2)
-
primaryKey: PRIMARY CF02002.DUPLICATE, CF02002.SAMPLE_DATE, CF02002.SAMPLE_POSITION, CF02002.SAMPLE_RUN, CF02002.SITECODE
-
notNullConstraint: NOTNULL CF02002.DBCODE, CF02002.DUPLICATE, CF02002.ENTITY, CF02002.FE_CODE, CF02002.NH3N_CODE, CF02002.NO3N_CODE, CF02002.SAMPLE_DATE, CF02002.SAMPLE_ID, CF02002.SAMPLE_POSITION, CF02002.SAMPLE_RUN, CF02002.SITECODE
Attributes (30)
DBCODE - char(5) (nominal)
ID: CF02002.DBCODE
FSDB Database Code
Type system: Microsoft SQL Server 2019
Code definitions (1)
-
CF020
FSDB Database Study Code
ENTITY - numeric(2,0) (ratio)
ID: CF02002.ENTITY
Entity number
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1
Numeric domain: type=natural, min=2.0000 (exclusive=false), max=2.0000 (exclusive=false)
SITECODE - char(6) (ordinal)
ID: CF02002.SITECODE
Code for where the experiment was conducted
Type system: Microsoft SQL Server 2019
Code definitions (1)
-
WS1HMF
WS1 hyporheic mesocosm facility located at WS1 gage house
SAMPLE_DATE - datetime (dateTime)
ID: CF02002.SAMPLE_DATE
date of sample collection
Type system: Microsoft SQL Server 2019
Date format: YYYY-MM-DD
SAMPLE_ID - char(7) (nominal)
ID: CF02002.SAMPLE_ID
Unique identifier for every sample (a concatenation of sample run and position)
Type system: Microsoft SQL Server 2019
SAMPLE_RUN - numeric(2,0) (ratio)
ID: CF02002.SAMPLE_RUN
Unique run number for the mesocosm experiment (based on sample date)
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1
Numeric domain: type=natural, min=1.0000 (exclusive=false), max=18.0000 (exclusive=false)
SAMPLE_POSITION - char(3) (nominal)
ID: CF02002.SAMPLE_POSITION
Unique sample position measured during run at specifc date, time, and distance
Type system: Microsoft SQL Server 2019
Code definitions (15)
-
STB
Stream sample before mesocosm run starts
-
S00
Mesocosm sample at meter 0
-
S01
Mesocosm sample at meter 1
-
S02
Mesocosm sample at meter 2
-
S03
Mesocosm sample at meter 3
-
S04
Mesocosm sample at meter 4
-
S05
Mesocosm sample at meter 5
-
S06
Mesocosm sample at meter 6
-
S07
Mesocosm sample at meter 7
-
S08
Mesocosm sample at meter 8
-
S09
Mesocosm sample at meter 9
-
S10
Mesocosm sample at meter 10
-
S11
Mesocosm sample at meter 11
-
S12
Mesocosm sample at meter 12
-
STA
Stream sample after mesocosm run conclusion
DUPLICATE - numeric(1,0) (ratio)
ID: CF02002.DUPLICATE
Indication of whether a second sample was taken for this run and position
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1
Numeric domain: type=natural, min=1.0000 (exclusive=false), max=4.0000 (exclusive=false)
DISTANCE - numeric(2,0) (ratio)
ID: CF02002.DISTANCE
distance along the mescocosm
Type system: Microsoft SQL Server 2019
Unit: meters
Precision: 1
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=12.0000 (exclusive=false)
DO - numeric(5,2) (ratio)
ID: CF02002.DO
Dissolved oxygen concentration in water at time of collection
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=0.2200 (exclusive=false), max=13.1600 (exclusive=false)
TEMPERATURE - numeric(4,1) (ratio)
ID: CF02002.TEMPERATURE
Temperature of water at time of collection
Type system: Microsoft SQL Server 2019
Unit: degrees Celsius
Precision: 1
Numeric domain: type=real, min=2.7000 (exclusive=false), max=21.1000 (exclusive=false)
TRAVELTIME - numeric(5,2) (ratio)
ID: CF02002.TRAVELTIME
Median residence travel time in hyporheic mesocosm
Type system: Microsoft SQL Server 2019
Unit: number of hours
Precision: 1
Numeric domain: type=real, min=4.5500 (exclusive=false), max=54.5500 (exclusive=false)
ALKALINITY - numeric(5,2) (ratio)
ID: CF02002.ALKALINITY
Alkalinity as calcium carbonate (CaCO3)
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=20.5900 (exclusive=false), max=34.6500 (exclusive=false)
DOC - numeric(4,2) (ratio)
ID: CF02002.DOC
Dissolved organic carbon
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=0.5400 (exclusive=false), max=1.6900 (exclusive=false)
DIC - numeric(4,2) (ratio)
ID: CF02002.DIC
Dissolved inorganic carbon
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=4.6800 (exclusive=false), max=9.8600 (exclusive=false)
NH3N - numeric(5,3) (ratio)
ID: CF02002.NH3N
Ammonia-nitrogen (NH3-N) concentration, ammonia as nitrogen
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=0.0050 (exclusive=false), max=0.0180 (exclusive=false)
NH3N_CODE - char(1) (nominal)
ID: CF02002.NH3N_CODE
NH3-N value qualifier code
Type system: Microsoft SQL Server 2019
Code definitions (3)
-
*
Value is below detection limit for analysis
-
A
Accepted value
-
N
No analytical measurement
NO3N - numeric(5,3) (ratio)
ID: CF02002.NO3N
Nitrate-nitrogen (NO3-N), nitrate + nitrite as nitrogen concentration
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=0.0010 (exclusive=false), max=0.1000 (exclusive=false)
NO3N_CODE - char(1) (nominal)
ID: CF02002.NO3N_CODE
NO3-N value qualifier code
Type system: Microsoft SQL Server 2019
Code definitions (3)
-
*
Value is below detection limit for analysis
-
A
Accepted value
-
N
No analytical measurement
PO4P - numeric(5,3) (ratio)
ID: CF02002.PO4P
Ortho phosphorus concentration, soluble reactive phosphorus, phosphate (PO4-P)
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=0.0230 (exclusive=false), max=0.1490 (exclusive=false)
TDN - numeric(4,2) (ratio)
ID: CF02002.TDN
Total dissolved nitrogen concentration
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=0.0300 (exclusive=false), max=0.1400 (exclusive=false)
TDP - numeric(5,3) (ratio)
ID: CF02002.TDP
Total dissolved phosphorus concentration
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=0.0210 (exclusive=false), max=0.1460 (exclusive=false)
CL - numeric(4,2) (ratio)
ID: CF02002.CL
Chloride (dissolved) concentration
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=0.4800 (exclusive=false), max=0.9700 (exclusive=false)
SO4S - numeric(4,2) (ratio)
ID: CF02002.SO4S
Dissolved SO4-S concentration, sulfate as sulfur
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=0.1600 (exclusive=false), max=0.2900 (exclusive=false)
NA - numeric(4,2) (ratio)
ID: CF02002.NA
Dissolved sodium (filtrable) concentration
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=2.6200 (exclusive=false), max=3.8700 (exclusive=false)
K - numeric(4,2) (ratio)
ID: CF02002.K
Dissolved potassium (filtrable) concentration
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=0.1800 (exclusive=false), max=0.3600 (exclusive=false)
CA - numeric(4,2) (ratio)
ID: CF02002.CA
Dissolved calcium (filtrable) concentration
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=4.4300 (exclusive=false), max=7.3400 (exclusive=false)
MG - numeric(4,2) (ratio)
ID: CF02002.MG
Dissolved magnesium (filtrable) concentration
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=1.0100 (exclusive=false), max=1.6500 (exclusive=false)
FE - numeric(4,2) (ratio)
ID: CF02002.FE
Dissolved iron concentration
Type system: Microsoft SQL Server 2019
Unit: milligrams per liter
Precision: 1
Numeric domain: type=real, min=0.0500 (exclusive=false), max=0.1200 (exclusive=false)
FE_CODE - char(1) (nominal)
ID: CF02002.FE_CODE
Fe value qualifier code
Type system: Microsoft SQL Server 2019
Code definitions (3)
-
*
Value is below detection limit for analysis
-
A
Accepted value
-
N
No analytical measurement
Units
| meters | m | length | meter | meter | 1 | meter; SI unit of length |
| number | number | dimensionless | number | dimensionless | 1 | dimensionless number, i.e., ratio, count |
| milligrams per liter | mg/l | massDensity | milligramPerLiter | kilogramPerMeterCubed | 0.001 | milligrams per liter |
| degrees Celsius | deg c | temperature | celsiusDegree | kelvin | 1 | Degrees Celsius; a common unit of temperature; constantToSI=273.18 |
| number of hours | hours | time | nominalHour | second | 3600 | one hour excluding leap seconds, 3600 seconds |
Intellectual Rights
Data Use Agreement:
The re-use of scientific data has the potential to greatly increase communication, collaboration and synthesis within and among disciplines, and thus is fostered, supported and encouraged. This Data Set is released under the Creative Commons license CC BY "Attribution" (see: https://creativecommons.org/licenses/by/4.0/). Creative Commons license CC BY - Attribution is a license that allows others to distribute, remix, tweak, and build upon your work (even commercially), as long as you are credited for the original creation. This license accommodates maximum dissemination and use of licensed materials.
It is considered professional conduct and an ethical obligation to acknowledge the work of other scientists. The Data User is asked to provide attribution of the original work if this data package is shared in whole or by individual parts or used in the derivation of other products. A recommended citation is provided for each Data Set in the Andrews LTER data catalog (see: http://andlter.forestry.oregonstate.edu/data/catalog/datacatalog.aspx). A generic citation is also provided for this Data Set on the website https://portal.edirepository.org in the summary metadata page. Data Users are thus strongly encouraged to consider consultation, collaboration and/or co-authorship with the Data Set Creator.
While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed and all data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data.
General acknowledgement: Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University.
Licensed
License: Creative Commons Attribution 4.0 International Public License
Identifier: CC-BY-4.0
Maintenance
Maintenance update frequency: notPlanned
Description
- An update history is logged and maintained with each new version of every dataset.
Change History
-
Version1 (2024-07-30) Study code and preliminary metadata established
-
Version2 (2025-05-05) Original upload of entity 1 and 2 metadata from entity_attribute spreadsheet using move_xls programs. Ran generic QC on data and uploaded to SQL.