Did You Find What You Needed?

We'd love to know how your experience with the Andrews Forest data catalog went - whether you found exactly what you were looking for or hit a dead end. Your feedback helps us improve data discovery and access.

Share Your Feedback

SP012: The relationship between early succession rates and soil properties in the Andrews Experimental Forest, 1999-2000

← Back to catalog index

Status: irregular
Period: 1999-06-06 to 2000-07-07
Version: 7
Published: 2016-09-23
EDI Package ID: knb-lter-and.3113.7
Source XML: SP012_7.xml

Notice

"As Is" Basis: All content, including maps and forecasts, is provided without warranties. Users are advised to independently verify critical information.

Citation

Griffiths, R. 2016. The relationship between early succession rates and soil properties in the Andrews Experimental Forest, 1999-2000 H. J. Andrews Experimental Forest Andrews Forest LTER Site. [Database]. Available: https://andrewsforest-stage.forestry.oregonstate.edu/data/fsdb-data-catalog/SP012 Accessed 2026-05-10.

Abstract

This study represents only one portion of a much larger study involving a wide range of disciplines and several H.J. Andrews Forest researchers. This dataset represents all the soils data collected up through the summer of 1999. In addition, Steve Acker conducted surveys of vegetation and measuring tree growth using cores. Mark Harmon has conducted a survey of coarse woody debris. Future studies could include hydrology and species diversity. When we compared the soil characteristics between slow and expected recovery sites, the only variables showing significant differences were soil moisture, litter depth and substrate induced respiration (SIR) rates at low glucose concentrations. The litter depth was slightly less, soil moisture lower, and SIR rates higher in the slow sites. When we compared soils in adjacent uncut forests, we found that field respiration rates were lower in forests adjacent to slow recovery sites than to normal sites suggesting that these sites may have inherently lower productivities. We concluded that slow recovery after clear-cutting is most likely related to physical site characteristics; i.e. steepness of slope and aspect. There did not appear to be any difference in soil depth.

Coverage

Temporal coverage: 1999-06-06 to 2000-07-07

Geographic coverage: The H.J. Andrews Experimental Forest.

Spatial coverage:

Bounds: W -12.25879300, E -122.09952700, N 44.28226000, S 44.20127400

Purpose
  • Currently, there is little information on how site characteristics influence the probable trajectory of vegetative succession after clear-cutting. It was thought that forest soil chemical and biological characteristics might predispose a site for fast or slow recovery in coniferous forests of the Pacific Northwest. Since vegetation is known to significantly influence forest soil characteristics, it was also thought that the speed with which conifers become reestablished on a site might influence soil characteristics. This study was designed to address these two hypotheses.
Project

Title: H. J. Andrews Experimental Forest

Personnel
  • Sherri L. Johnson - Principal Investigator
    US Forest Service ;Pacific NW Research Station ;3200 SW Jefferson Way, Corvallis, OR, 97331, USA
    Phone: 541-758-7771
    Email: sherri.johnson2@usda.gov, sherri.johnson@oregonstate.edu
  • Julia A. Jones - Principal Investigator
    Oregon State University;Department of Geosciences; Wilkinson Hall 104, Corvallis, OR, 97331-5506, USA
    Phone: (541) 737-1224
    Email: Julia.Jones@oregonstate.edu, geojulia@comcast.net
    ORCID: http://orcid.org/0000-0001-9429-8925
  • Hannah Gosnell - Principal Investigator
    Geosciences;Oregon State University;260 Wilkinson Hall, Corvallis, OR, 97331-5506, USA
    Phone: 541-737-1222
    Email: gosnellh@geo.oregonstate.edu
  • Matthew G Betts - Principal Investigator
    Department of Forest Ecosystems and Society; 201E Richardson Hall; College of Forestry; Oregon State University, Corvallis, OR, 97331
    Phone: (541) 737-3841
    Email: matt.betts@oregonstate.edu
  • Michael P. Nelson - Principal Investigator
    Department of Forest Ecosystems and Society; 201K Richarson Hall; College of Forestry; Oregon State University, Corvallis, OR, 97331
    Phone: 541-737-9221
    Email: mpnelson@oregonstate.edu
    ORCID: http://orcid.org/0000-0001-6917-4752
Study Area Description
  • H. J. Andrews Experimental Forest
    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
  • Robert P. Griffiths
    Role: Principal Investigator
    Oregon State University;Dept. of Forest Science;321 Richardson Hall, Corvallis, OR, 97331-5752, USA
    Phone: (541) 737-6559
    Email: bbgriff@peak.org, griff@for.orst.edu
  • Robert P. Griffiths
    Role: Creator
    Oregon State University;Dept. of Forest Science;321 Richardson Hall, Corvallis, OR, 97331-5752, USA
    Phone: (541) 737-6559
    Email: bbgriff@peak.org, griff@for.orst.edu
Contact
  • Information Manager
    Andrews Forest LTER Program, US Forest Service Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR, 97331
    Email: hjaweb@fsl.orst.edu
Publisher
  • Andrews Forest LTER Site
    Role: Publisher
    Forest Ecosystems and Society Department in Forestry, Oregon State University, 201K Richardson Hall, Corvallis, OR, 97331-5752
    Phone: (541) 737-8480
    Email: lterweb@fsl.orst.edu
Study Description

This study represents only one portion of a much larger study involving a wide range of disciplines and several H.J. Andrews Forest researchers. This dataset represents all the soils data collected up through the summer of 1999. In addition, Steve Acker conducted surveys of vegetation and measuring tree growth using cores. Mark Harmon has conducted a survey of coarse woody debris. Future studies could include hydrology and species diversity. When we compared the soil characteristics between slow and expected recovery sites, the only variables showing significant differences were soil moisture, litter depth and substrate induced respiration (SIR) rates at low glucose concentrations. The litter depth was slightly less, soil moisture lower, and SIR rates higher in the slow sites. When we compared soils in adjacent uncut forests, we found that field respiration rates were lower in forests adjacent to slow recovery sites than to normal sites suggesting that these sites may have inherently lower productivities. We concluded that slow recovery after clear-cutting is most likely related to physical site characteristics; i.e. steepness of slope and aspect. There did not appear to be any difference in soil depth. Currently, there is little information on how site characteristics influence the probable trajectory of vegetative succession after clear-cutting. It was thought that forest soil chemical and biological characteristics might predispose a site for fast or slow recovery in coniferous forests of the Pacific Northwest. Since vegetation is known to significantly influence forest soil characteristics, it was also thought that the speed with which conifers become reestablished on a site might influence soil characteristics. This study was designed to address these two hypotheses. Field Methods - SP012

Purpose: Currently, there is little information on how site characteristics influence the probable trajectory of vegetative succession after clear-cutting. It was thought that forest soil chemical and biological characteristics might predispose a site for fast or slow recovery in coniferous forests of the Pacific Northwest. Since vegetation is known to significantly influence forest soil characteristics, it was also thought that the speed with which conifers become reestablished on a site might influence soil characteristics. This study was designed to address these two hypotheses.

Methods

Method Steps

Field Methods - SP012
  • For the microbiological studies, five 4.8 x 10 cm cores were taken randomly within each of the three sample plots with all cores separated by at least 5 m. These cores were analyzed for the presence of ectomycorrhizal mats and then bulked into one large sample from which subsamples were taken for the laboratory studies.
  • Soil temperatures and litter depths were measured at each coring location using a calibrated dial thermometer to a depth of 10 cm and a ruler respectively.
  • The following measurements were made in the field: litter depth, soil depth, mineral soil respiration, ambient light, soil temperature and ectomycorrhizal mat characteristics. Field (mineral soil) respiration rates were measured with a nondispersive, infrared CO2 analyzer (Li-Cor, LI-6200). Measurements were made over a period of 1 min after the chamber gas reached ambient CO2 concentration. The instrument was calibrated on site against a known standard at each location. A Q10 adjustment was made for ambient soil temperature. Soil temperature was measured by electronic thermometers calibrated at 0 degrees C with ice water. The temperature probes were inserted into the mineral soil to a depth of 10 cm. Light was measured with the Li-Cor photometer.
  • The distribution of ectomycorrhizal mats was determined visually in the field by inspecting the relative abundance of mats in 4.7 x 10 cm cores. Two distinct mat types were scored: (1) mats similar to those of the genus Hysterangium and (2) mats similar to those of the genus Gautieria. This approach has been used successfully in the past to document ectomycorrhizal mat distribution patterns in coniferous forests of the Pacific Northwest (Griffiths et al. 1996).
Laboratory Methods - SP012
  • The fraction dried weight and all laboratory measurements where taken on bulked soil samples that had been sieved through a 2mm mesh screen. Soil moisture was determined by drying duplicate 10 g field-moist sieved soils at 100 degrees C for at least 8 h. The percent soil moisture was calculated by dividing the difference between wet and dry samples and dividing that number by the dry wt., which was then multiplied by 100. Soil organic matter was measured by loss-on-ignition at 550 degrees C for 6 h after oven drying at 100 degrees C.
  • Duplicate denitrification potential measurements were made using a method by Groffman and Tiedje (1989) as modified by us (Griffiths et al., 1998). Each reaction vessel (25-mL Erlenmeyer flask) contained 5 g of less than 2 mm, field-moist soil. Flasks were sealed with rubber serum bottle stoppers and purged with Ar to displace O in the headspace gas. After purging with Ar, 2 mL of a 1 mM solution of glucose and NO3- was added to each flask. Flasks were subsequently incubated at 25 degrees C for 1 h. This preincubation period was used because previous time-series experiments showed a lag in N2O production during this period. The same experiments have shown linear N2O production rates during the following 2-4 h (unpublished data). After the preincubation period, 0.5 mL of headspace gas was removed from the reaction vessel and injected into a gas chromatograph (GC) fitted with an electron capture detector (Hewlett Packard model 5890 GC, connected to a Hewlett Packard model 3396 integrator). The integrator was calibrated by the external calibration method with known gas standards. A second headspace N2O analysis was made after an additional 2-h incubation at 25¡ÆC. The net N2O released over this 2-h period was used to estimate N2O production rates.
  • Beta-glucosidase activity was determined by the spectrophotometric assay of Tabatabai and Bremmer (1969), as modified by Zou et al. (1992). One mL of 10 mM p-nitrophenyl b-D glucopyranoside substrate was added to duplicate 1-mL subsamples containing a soil slurry (1 gdw in 1 mL deionized H2O). The tubes were shaken and then placed with duplicate controls without substrate in a 30 degrees C water bath for 2 h. After incubating, 1 mL of 10 mM p-nitrophenyl b-D glucopyranoside was added to the controls, and all reactions were immediately stopped by the addition of 2 mL of 0.1 M tris[hydroxymethyl]aminomethane at pH 12.0. The mixtures were centrifuged for 5 min at 500 x g. From the supernatant, 0.2 mL was diluted with 2.0 mL deionized water. The optical density was measured at 410 nm, and a standard curve was prepared from 0.02 to 1.0 micro-mol/mL p-nitrophenol (pNP). Duplicate aliquots and controls were run for all samples.

Sampling

Study Extent
  • Sampling frequency: One set of measurements was made at each site.
Sampling Description
  • There were two main objectives of this research. The first was to determine how slow vegetative succession influences soil properties. The second was to determine if soil characteristics influence early succession rates after forest clear-cut. To meet these objectives, a set of 24 research stands was selected on the H.J. Andrews and the adjacent Blue River watershed. Six sites exhibiting slow canopy closure 40 years post-harvest and 6 sites showing normal or expected rates of canopy closure. In addition, adjacent unharvested stands acted as pseudocontrols bring the total number of study stands to 24. Since elevation was thought to also influence recovery rates, half of the sites were at low elevations and half were at high elevations. Within each stand, three sample plots were established.
  • Site selection for this study was done in two phases; aerial photos, harvest records, TM imagery, DEM data and topographic maps were analyzed to identify candidate sites. From that cohort, the 12 sites used in this study were those which covered at least 5 hectares and where reasonable matches could be made between slow and expected sites at the same elevation. All sites were within the Blue River and Quartz Creek drainages of the Central Oregon Cascade Mountains in and adjacent to the H. J. Andrews Experimental Forest. Within each of these sites, three 250 m sample plots were established which were 17.42 m in diameter and separated by at least 100 m. All harvested plots were approximately the same age (40 years).
Spatial Sampling Units
  • Andrews Experimental Forest (HJA)
    W -122.26172200, E -122.10084700, N 44.28196400, S 44.19770400
    Altitude: 1631 to 1631 meter
  • Cascade Head Experimental Forest
    W -123.99172777, E -123.89730000, N 45.06476948, S 45.03130000
Software

No software entries listed in this EML file.

Keywords
  • LTER controlled vocabulary: succession (theme), primary production (theme), recovery (theme), inorganic nutrients (theme), soil (theme), forests (theme)
  • Andrews Experimental Forest site thesaurus: Long-Term Ecological Research (LTER) (theme)
  • LTER core research areas: primary production (theme), inorganic nutrients (theme)
Taxonomic Hierarchy
  • All Organisms: All Organisms
  • Highest common category (ca. kingdom): Fungi
  • Division or Phylum: Basidiomycota
  • Division or Phylum: Basidiomycetes
  • Order: Phallales
  • Family: Hysterangiaceae
  • Genus: Hysterangium
  • Family: Gomphaceae
  • Genus: Gautieria
Data Entities
# Entity Metadata Data
1 SP01201
SP01201
Soil component of early succession study:
METADATA DATA
Metadata
SP01201 - SP01201

Object name: SP01201.csv

Records: 24

Attributes: 27

Temporal coverage: 1999-06-06 to 2000-07-07

File size: 3386 byte

Checksum (MD5): 026455467d91169869a1502f7a3d8352

Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column

Constraints (2)
  • primaryKey: PRIMARY
    SP01201.TREATSET, SP01201.TREATMENT, SP01201.CCRATE, SP01201.ELEVATION
  • notNullConstraint: NOTNULL
    SP01201.DBCODE, SP01201.ENTITY, SP01201.SITE, SP01201.TREATSET, SP01201.TREATMENT, SP01201.CCRATE, SP01201.ELEVATION, SP01201.HYSTER, SP01201.GAUT, SP01201.DEPTH, SP01201.COEFVAR, SP01201.LITTER, SP01201.MOIST, SP01201.SOILTEMP, SP01201.LIGHT, SP01201.SOM, SP01201.PH, SP01201.EXAMM, SP01201.MINN, SP01201.DENIT, SP01201.B_GLUC, SP01201.LTR, SP01201.LABRESP, SP01201.FLDRESP, SP01201.SIR_1NM, SP01201.SIR_1M
Attributes (27)
DBCODE - char(5) (nominal)

ID: SP01201.DBCODE

Database code

Type system: Microsoft SQL Server 2008

Code definitions (1)
  • SP012
    FSDB dataset code SP012
ENTITY - numeric(1,0) (interval)

ID: SP01201.ENTITY

Entity number

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1.000000

Numeric domain: type=natural, min=1.0000 (exclusive=false), max=1.0000 (exclusive=false)

SITE - numeric(3,0) (interval)

ID: SP01201.SITE

Site designator used for all segments of this study

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1.000000

Numeric domain: type=natural, min=207.0000 (exclusive=false), max=739.0000 (exclusive=false)

TREATSET - numeric(1,0) (interval)

ID: SP01201.TREATSET

Treatment set pairing expected sites with slow sites

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1.000000

Numeric domain: type=natural, min=1.0000 (exclusive=false), max=6.0000 (exclusive=false)

TREATMENT - char(6) (nominal)

ID: SP01201.TREATMENT

Treatments: controls were adjacent oldgrowth controls; exper were the experimental plots

Type system: Microsoft SQL Server 2008

Code definitions (2)
  • control
    Control treatment in adjacent old-growth forest
  • exper
    Experimental plot treatment
CCRATE - char(8) (nominal)

ID: SP01201.CCRATE

Rate of recovery (canopy closure)

Type system: Microsoft SQL Server 2008

Code definitions (2)
  • slow
    slow canopy closure 40 years post-harvest
  • expected
    normal or expected rates of canopy closure
ELEVATION - char(4) (nominal)

ID: SP01201.ELEVATION

High and low elevation sites (explicit)

Type system: Microsoft SQL Server 2008

Code definitions (2)
  • low
    low elevation site
  • high
    high elevation site
HYSTER - numeric(2,0) (ratio)

ID: SP01201.HYSTER

Percentage of core containing mycorrhizal mats like those of the genus Hysterangium

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 1.000000

Numeric domain: type=whole, min=0.0000 (exclusive=false), max=100.0000 (exclusive=false)

GAUT - numeric(3,0) (ratio)

ID: SP01201.GAUT

Percentage of core containing mycorrhizal mats like those of the genus Gautieria

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 1.000000

Numeric domain: type=whole, min=0.0000 (exclusive=false), max=100.0000 (exclusive=false)

DEPTH - numeric(4,1) (ratio)

ID: SP01201.DEPTH

Soil depth

Type system: Microsoft SQL Server 2008

Unit: centimeters

Precision: 0.100000

Numeric domain: type=real, min=25.0000 (exclusive=false), max=70.0000 (exclusive=false)

COEFVAR - numeric(4,1) (ratio)

ID: SP01201.COEFVAR

Coefficient of variability for soil depth measurements

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 0.100000

Numeric domain: type=real, min=30.0000 (exclusive=false), max=70.0000 (exclusive=false)

LITTER - numeric(1,0) (ratio)

ID: SP01201.LITTER

Litter depth

Type system: Microsoft SQL Server 2008

Unit: centimeters

Precision: 1.000000

Numeric domain: type=natural, min=0.0000 (exclusive=false), max=10.0000 (exclusive=false)

BULKDENS - numeric(5,3) (ratio)

ID: SP01201.BULKDENS

Bulkdensity

Type system: Microsoft SQL Server 2008

Unit: grams per cubic centimeter

Precision: 0.001000

Numeric domain: type=real, min=0.1260 (exclusive=false), max=1.1360 (exclusive=false)

MOIST - numeric(4,1) (ratio)

ID: SP01201.MOIST

Percent moisture

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 0.100000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=110.0000 (exclusive=false)

SOILTEMP - numeric(4,1) (ratio)

ID: SP01201.SOILTEMP

Soil temperature measured with LiCor

Type system: Microsoft SQL Server 2008

Unit: degrees Celsius

Precision: 0.100000

Numeric domain: type=real, min=9.0000 (exclusive=false), max=20.0000 (exclusive=false)

LIGHT - numeric(5,1) (ratio)

ID: SP01201.LIGHT

Amount of light measured with LiCor

Type system: Microsoft SQL Server 2008

Unit: micromoles per square meter per second

Precision: 0.100000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=500.0000 (exclusive=false)

SOM - numeric(5,2) (ratio)

ID: SP01201.SOM

Soil organic matter

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 0.010000

Numeric domain: type=real, min=10.0000 (exclusive=false), max=40.0000 (exclusive=false)

PH - numeric(5,2) (ratio)

ID: SP01201.PH

pH

Type system: Microsoft SQL Server 2008

Unit: pH units

Precision: 0.010000

Numeric domain: type=real, min=4.0000 (exclusive=false), max=6.0000 (exclusive=false)

EXAMM - numeric(4,2) (ratio)

ID: SP01201.EXAMM

Extractable ammonium

Type system: Microsoft SQL Server 2008

Unit: micromoles per gram per day

Precision: 0.010000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=1.0000 (exclusive=false)

MINN - numeric(4,2) (ratio)

ID: SP01201.MINN

Mineralizable nitrogen

Type system: Microsoft SQL Server 2008

Unit: micromoles per gram per day

Precision: 0.010000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=10.0000 (exclusive=false)

DENIT - numeric(3,1) (ratio)

ID: SP01201.DENIT

Denitrification potential (as N)

Type system: Microsoft SQL Server 2008

Unit: nanograms per gram per hour

Precision: 0.100000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=10.0000 (exclusive=false)

B_GLUC - numeric(5,3) (ratio)

ID: SP01201.B_GLUC

Beta-glucosidase activity

Type system: Microsoft SQL Server 2008

Unit: micromoles per gram per hour

Precision: 0.001000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=1.0000 (exclusive=false)

LTR - numeric(4,1) (ratio)

ID: SP01201.LTR

Long-term laboratory respiration; one week (as C)

Type system: Microsoft SQL Server 2008

Unit: micrograms per gram per week

Precision: 0.100000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=40.0000 (exclusive=false)

LABRESP - numeric(5,2) (ratio)

ID: SP01201.LABRESP

Laboratory respiration rates; two h (as C)

Type system: Microsoft SQL Server 2008

Unit: micrograms per gram per hour

Precision: 0.010000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=5.0000 (exclusive=false)

FLDRESP - numeric(5,2) (ratio)

ID: SP01201.FLDRESP

Field respiration rates

Type system: Microsoft SQL Server 2008

Unit: grams per square meter per day

Precision: 0.010000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=30.0000 (exclusive=false)

SIR_1NM - numeric(5,3) (ratio)

ID: SP01201.SIR_1NM

Substrate-induced respiration with 1 nM glucose added (as C)

Type system: Microsoft SQL Server 2008

Unit: micrograms per gram per hour

Precision: 0.001000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=1.0000 (exclusive=false)

SIR_1M - numeric(5,3) (ratio)

ID: SP01201.SIR_1M

Substrate-induced respiration with 1 M glucose added (as C)

Type system: Microsoft SQL Server 2008

Unit: micrograms per gram per hour

Precision: 0.001000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=2.0000 (exclusive=false)

Units
number number dimensionless number dimensionless 1 dimensionless number, i.e., ratio, count
centimeters cm length centimeter meter 0.01 centimeters; .01 meters
grams per cubic centimeter g/cm3 massDensity gramPerCentimeterCubed kilogramPerMeterCubed 1000 grams per cubic centimeter
degrees Celsius deg c temperature celsiusDegree kelvin 1 Degrees Celsius; a common unit of temperature; constantToSI=273.18
micromoles per square meter per second umol/m2*sec arealAmountOfSubstanceConcentrationRate micromolePerMeterSquaredPerSecond molePerMeterSquaredPerSecond 1000000 micromoles per square meter per second
percent % dimensionless number dimensionless 100 percent; a number
pH units ph undefined pH unknown N/A Scale used for pH measurements
micromoles per gram per day umol/g*day amountOfSubstanceWeightFlux micromolePerGramPerDay molePerKilogramPerSecond 86.4 micromoles per gram per day
nanograms per gram per hour ng/g*hr massPerMassRate nanogramPerGramPerHour kilogramPerKilogramPerSecond 0.0000000000036 nanograms/gram*hour
micromoles per gram per hour umol/g*hr amountOfSubstanceWeightFlux micromolePerGramPerHour molePerKilogramPerSecond 3.6 micromoles per g per hour
micrograms per gram per week ug/g*week massPerMassRate microgramPerGramPerWeek kilogramPerKilogramPerSecond 0.6048 micrograms per gram per week
grams per square meter per day g/m2*day arealMassDensityRate gramPerMeterSquaredPerDay kilogramPerMeterSquaredPerSecond 86.4 grams per square meter per day
micrograms per gram per hour ug/g*hour massPerMassRate microgramPerGramPerHour kilogramPerKilogramPerSecond 0.0036 micrograms per gram per hour
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 1440409), US Forest Service Pacific Northwest Research Station, and Oregon State University. If data used in publication, the PI will be listed as a coauthor. Whenever these data are presented in whatever form, the PI will be acknowledged.

Licensed

License: N/A

Maintenance

Maintenance update frequency: irregular

Description

  • An update history is logged and maintained with each new version of every dataset.

Change History

  • Version1 (2001-04-30)
    Original metadata creation.
  • Version2 (2002-03-06)
    Metadata restructured and moved into SQLServer metadata database LTERMETA. Data moved into SQLServer database FSDBDATA.
  • Version7 (2016-09-23)
    Preparing dataset to upload to PASTA. Made some revisions to entity (see entity_update_history).