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SP018: Influence of microclimate gradients on soil characteristics within tree-fall gaps in the Andrews Experimental Forest, 1997

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Status: irregular
Period: 1997-07-01 to 1997-07-24
Version: 6
Published: 2011-09-14
EDI Package ID: knb-lter-and.3116.6
Source XML: SP018_6.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. 2011. Influence of microclimate gradients on soil characteristics within tree-fall gaps in the Andrews Experimental Forest, 1997 Long-Term Ecological Research Andrews Forest LTER Site. [Database]. Available: https://andrewsforest-stage.forestry.oregonstate.edu/data/fsdb-data-catalog/SP018 Accessed 2026-05-10.

Abstract

This was the second in a series of tree-fall gap studies conducted at the HJA addressing the effects of tree-fall gaps on forest soil characteristics. The first looked at the effects of gap size on changes in soil carbon cycling within the gap along N-S transects. The present study compares the effects of gaps on soil properties along both N-S and E-W transects to better differentiate between microclimate and vegetation effects within the gaps. The third study expanded the number of variables studied and sampling intensity. By using the same grid system as Dr. Andy Gray in his vegetation survey work, we were able to relate below-ground processes with above-ground vegetation. Soil properties in eight, 7 year-old tree-fall gaps were compared with soils in the surrounding old-growth Douglas-fir forest. Soil characteristics were measured along two transects; one running north and south and the other east and west. This study was an extension of one done two years earlier by Shirley King (see Gap1 - study code SP017). In that study, there were significant differences in soil properties not only between soils collected in and out of gaps but also by orientation within the gap. More specifically, soils in the north end of the larger gaps were significantly different from those in the south. This study was designed confirm the previous findings that soils within gaps were different than those in the surrounding forest. In addition, we wanted to determine if there were also E/W differences. If there were none, then we could conclude that microclimate gradients were effecting these soils because the microclimate gradient along E/W transects should be much less than that found along N/S transects. We chose to measure soil characteristics at 2-meter intervals using this same basic design used by Shirley King in the Gap1 study. E/W and N/S transects were established in all of the gaps that were studied in Gap1 with the transects extending one radius into the surrounding forest.

Coverage

Temporal coverage: 1997-07-01 to 1997-07-24

Geographic coverage: N/A

Bounds: W N/A, E N/A, N N/A, S N/A

Purpose
  • Tree-fall gaps are known to play an important role in the formation and maintenance of old-growth forest structure and forest biodiversity. Prior research has focused on above-ground vegetative succession and population dynamics and little is known about changes occurring below-ground as vegetation becomes reestablished. The interplay between gap microclimatic gradients and both vegetation and the below-ground component of the ecosystem is potentially complex. Thus to understand how gaps influence forest floor characteristics, one must consider how both vegetative and microclimatic gradients influence soil properties. This study was designed to assist and differentiating between these effects.
Project

Title: Long-Term Ecological Research

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
  • 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
  • David Bell - Principal Investigator
    Email: david.bell@usda.gov, david.bell@oregonstate.edu
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: DEB1440409

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
  • 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: Abstractor
    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 was the second in a series of tree-fall gap studies conducted at the HJA addressing the effects of tree-fall gaps on forest soil characteristics. The first looked at the effects of gap size on changes in soil carbon cycling within the gap along N-S transects. The present study compares the effects of gaps on soil properties along both N-S and E-W transects to better differentiate between microclimate and vegetation effects within the gaps. The third study expanded the number of variables studied and sampling intensity. By using the same grid system as Dr. Andy Gray in his vegetation survey work, we were able to relate below-ground processes with above-ground vegetation. Soil properties in eight, 7 year-old tree-fall gaps were compared with soils in the surrounding old-growth Douglas-fir forest. Soil characteristics were measured along two transects; one running north and south and the other east and west. This study was an extension of one done two years earlier by Shirley King (see Gap1 - study code SP017). In that study, there were significant differences in soil properties not only between soils collected in and out of gaps but also by orientation within the gap. More specifically, soils in the north end of the larger gaps were significantly different from those in the south. This study was designed confirm the previous findings that soils within gaps were different than those in the surrounding forest. In addition, we wanted to determine if there were also E/W differences. If there were none, then we could conclude that microclimate gradients were effecting these soils because the microclimate gradient along E/W transects should be much less than that found along N/S transects. We chose to measure soil characteristics at 2-meter intervals using this same basic design used by Shirley King in the Gap1 study. E/W and N/S transects were established in all of the gaps that were studied in Gap1 with the transects extending one radius into the surrounding forest. Tree-fall gaps are known to play an important role in the formation and maintenance of old-growth forest structure and forest biodiversity. Prior research has focused on above-ground vegetative succession and population dynamics and little is known about changes occurring below-ground as vegetation becomes reestablished. The interplay between gap microclimatic gradients and both vegetation and the below-ground component of the ecosystem is potentially complex. Thus to understand how gaps influence forest floor characteristics, one must consider how both vegetative and microclimatic gradients influence soil properties. This study was designed to assist and differentiating between these effects. Field Methods - SP018

Purpose: Tree-fall gaps are known to play an important role in the formation and maintenance of old-growth forest structure and forest biodiversity. Prior research has focused on above-ground vegetative succession and population dynamics and little is known about changes occurring below-ground as vegetation becomes reestablished. The interplay between gap microclimatic gradients and both vegetation and the below-ground component of the ecosystem is potentially complex. Thus to understand how gaps influence forest floor characteristics, one must consider how both vegetative and microclimatic gradients influence soil properties. This study was designed to assist and differentiating between these effects.

Methods

Method Steps

Field Methods - SP018
  • The following measurements were made in the field: litter depth, mineral soil respiration, ambient light, soil temperature and the relative abundance of ectomycorrhizal mat. Field (mineral soil) respiration rates were measured with a nondispersive, infrared CO analyzer (Li-Cor, LI-6200). Measurements were made over a period of 1 min after the chamber gas reached ambient CO 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. 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 - SP018
  • In preparation for laboratory analyses, all soils were sieved through a 2-mm sieve. 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 NO 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 NO production during this period. The same experiments have shown linear NO 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 NO analysis was made after an additional 2-h incubation at 25 degrees C. The net NO released over this 2-h period was used to estimate NO production rates.
  • Duplicate laboratory respiration measurements were made on field-moist, sieved soils (4 g dry weight). These rates represent the basal respiration rate for soil microorganisms. Soils were brought to 75% moisture content by the addition of enough sterile deionized water to equal 3 g water per 25-mL Erlenmeyer flask. Once sealed with serum bottle stoppers, the flasks were incubated at 24 degrees C for 14 days after which headspace CO concentrations were measured using gas chromatography. This was a measure of labile soil carbon. The same GC and integrator as were used for this assay as that used to measure NO, but in this case a flame ionization detector and a methanizer in series were used.
  • 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 HO). 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). Live root biomass was estimated from dried (8 h at 100 C) 4.8 x 10 cm cores. The roots were removed by hand and weighed.

Sampling

Study Extent
  • Sampling frequency: 1 set of measurements at each sample node on grid
Sampling Description
  • The experimental design and site descriptions have been published (Gray and Spies, 1996, 1997) but are summarized below. Eight gaps ranging in size from 10 to 50 m were used to determine how large tree-fall gaps influence below-ground properties along different microclimatic gradients. These gaps were created in the fall of 1990 at a site located 44 15 N, 122 15 W at an elevation of 900 m at the H.J. Andrews Experimental Forest in the Central Oregon Cascade Mountains. This study was conducted 7 years after gap formation. This site and the rational for this long-term study have been described by Gray and Spies (1996). Cores (4.7 x 10 cm) were collected every 2 m along transects which extended one radius length into the surrounding forest.
  • Citation:
  • Gray, A.N., and T.A. Spies. 1996. Gap size, within-gap position, and canopy structure effects on seedling establishment of conifer species in forest canopy gaps. Journal of Ecology 84: 635-645.
  • Gray, A.N., and T.A. Spies. 1997. Microsite controls on tree seedling establishment in conifer forest canopy gaps. Ecology 78:2458-2473.
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: disturbance (theme), inorganic nutrients (theme), soil (theme), forests (theme), canopy gaps (theme)
  • Andrews Experimental Forest site thesaurus: Long-Term Ecological Research (LTER) (theme)
  • LTER core research areas: disturbance (theme), inorganic nutrients (theme)
Taxonomic Hierarchy

No taxonomic hierarchy listed in this EML file.

Data Entities
# Entity Metadata Data
1 SP01801
SP01801
The influence of microclimate gradients on soil characteristics within tree-fall gaps:
METADATA DATA
Metadata
SP01801 - SP01801

Object name: SP01801.csv

Records: 339

Attributes: 19

File size: 23156 byte

Checksum (MD5): 941923cfc239b465c3b0d0a0e5ed165e

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

Constraints (1)
  • notNullConstraint: NOTNULL
    SP01801.DIRECTN, SP01801.GAPNUMBR, SP01801.GAPSIZE, SP01801.IN_OUT, SP01801.LOCATION, SP01801.ORIENTN, SP01801.QUAD, SP01801.SECTION
Attributes (19)
GAPNUMBR - numeric(3,0) (ratio)

ID: SP01801.GAPNUMBR

Site designator

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1.000000

Numeric domain: type=natural, min=110.0000 (exclusive=false), max=210.0000 (exclusive=false)

GAPSIZE - numeric(2,0) (ratio)

ID: SP01801.GAPSIZE

Gap diameter in meters

Type system: Microsoft SQL Server 2008

Unit: meters

Precision: 1.000000

Numeric domain: type=natural, min=10.0000 (exclusive=false), max=50.0000 (exclusive=false)

LOCATION - numeric(2,0) (ratio)

ID: SP01801.LOCATION

Sampling location along transect

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1.000000

Numeric domain: type=whole, min=1.0000 (exclusive=false), max=50.0000 (exclusive=false)

DIRECTN - numeric(1,0) (interval)

ID: SP01801.DIRECTN

Direction: 0 = E-W, 1 = N-S

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1.000000

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

ORIENTN - char(3) (nominal)

ID: SP01801.ORIENTN

Orientation E-W = east to west; N-S = south to north (explicit)

Type system: Microsoft SQL Server 2008

QUAD - numeric(1,0) (interval)

ID: SP01801.QUAD

1=Eout; 2=Ein; 3=Wout; 4=Win; 5=Nout; 6=Nin; 7=Sout; 8=Sin

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1.000000

Numeric domain: type=natural, min=1.0000 (exclusive=false), max=4.0000 (exclusive=false)

SECTION - char(5) (nominal)

ID: SP01801.SECTION

Compass direction from center of gap (explicit)

Type system: Microsoft SQL Server 2008

IN_OUT - numeric(1,0) (interval)

ID: SP01801.IN_OUT

1 = out of gap, 2 = in gap

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1.000000

Numeric domain: type=whole, min=1.0000 (exclusive=false), max=2.0000 (exclusive=false)

MOIST - numeric(5,1) (ratio)

ID: SP01801.MOIST

Percent moisture

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 0.100000

Numeric domain: type=real, min=10.0000 (exclusive=false), max=60.0000 (exclusive=false)

SOILTEMP - numeric(4,1) (ratio)

ID: SP01801.SOILTEMP

Soil temperature measured with Licor

Type system: Microsoft SQL Server 2008

Unit: degrees Celsius

Precision: 0.100000

Numeric domain: type=real, min=10.0000 (exclusive=false), max=20.0000 (exclusive=false)

SOM - numeric(5,0) (ratio)

ID: SP01801.SOM

Soil organic matter

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 1.000000

Numeric domain: type=natural, min=10.0000 (exclusive=false), max=90.0000 (exclusive=false)

LITTER - numeric(4,0) (ratio)

ID: SP01801.LITTER

Litter depth in cm

Type system: Microsoft SQL Server 2008

Unit: centimeters

Precision: 1.000000

Numeric domain: type=whole, min=0.0000 (exclusive=false), max=20.0000 (exclusive=false)

TOTALMAT - numeric(3,0) (ratio)

ID: SP01801.TOTALMAT

Percentage of core containing mycorrhizal mats

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)

PH - numeric(4,2) (ratio)

ID: SP01801.PH

Soil ph

Type system: Microsoft SQL Server 2008

Unit: pH units

Precision: 0.010000

Numeric domain: type=real, min=4.0000 (exclusive=false), max=7.0000 (exclusive=false)

ROOTS - numeric(5,2) (ratio)

ID: SP01801.ROOTS

Amount of live roots found in cores (dry weight basis)

Type system: Microsoft SQL Server 2008

Unit: grams

Precision: 0.010000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=12.0000 (exclusive=false)

FLDRESP - numeric(5,1) (ratio)

ID: SP01801.FLDRESP

Field respiration rates

Type system: Microsoft SQL Server 2008

Unit: grams per square meter per day

Precision: 0.100000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=50.0000 (exclusive=false)

LABRESP - numeric(5,2) (ratio)

ID: SP01801.LABRESP

Laboratory respiration rates (dry weight basis, 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=10.0000 (exclusive=false)

B_GLUC - numeric(5,2) (ratio)

ID: SP01801.B_GLUC

Beta-glucosidase activity (dry weight basis)

Type system: Microsoft SQL Server 2008

Unit: micromoles per gram per hour

Precision: 0.010000

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

DENIT - numeric(5,3) (ratio)

ID: SP01801.DENIT

Denitrification potential (dry weight basis, as N)

Type system: Microsoft SQL Server 2008

Unit: nanograms per gram per hour

Precision: 0.001000

Numeric domain: type=real, min=0.0000 (exclusive=false), max=7.0000 (exclusive=false)

Units
micromoles per gram per hour umol/g*hr amountOfSubstanceWeightFlux micromolePerGramPerHour molePerKilogramPerSecond 3.6 micromoles per g per hour
nanograms per gram per hour ng/g*hr massPerMassRate nanogramPerGramPerHour kilogramPerKilogramPerSecond 0.0000000000036 nanograms/gram*hour
grams per square meter per day g/m2*day arealMassDensityRate gramPerMeterSquaredPerDay kilogramPerMeterSquaredPerSecond 86.4 grams per square meter per day
meters m length meter meter 1 meter; SI unit of length
micrograms per gram per hour ug/g*hour massPerMassRate microgramPerGramPerHour kilogramPerKilogramPerSecond 0.0036 micrograms per gram per hour
centimeters cm length centimeter meter 0.01 centimeters; .01 meters
pH units ph undefined pH unknown N/A Scale used for pH measurements
number number dimensionless number dimensionless 1 dimensionless number, i.e., ratio, count
grams g mass gram kilogram 0.001 grams; 0.001 kilogram
degrees Celsius deg c temperature celsiusDegree kelvin 1 Degrees Celsius; a common unit of temperature; constantToSI=273.18
percent % dimensionless number dimensionless 100 percent; a number
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. If data used in publication, the Griffiths and Filan will be listed as a coauthors. 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 (2001-04-22)
    Original metadata creation.
  • Version2 (2002-02-08)
    Metadata restructured and moved into SQLServer metadata database LTERMETA. Data moved into SQLServer database FSDBDATA.