SP018: Influence of microclimate gradients on soil characteristics within tree-fall gaps in the Andrews Experimental Forest, 1997
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
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Sherri L. Johnson - Principal Investigator US Forest Service ;Pacific NW Research Station ;3200 SW Jefferson Way, Corvallis, OR, 97331, USAPhone: 541-758-7771Email: sherri.johnson2@usda.gov, sherri.johnson@oregonstate.edu
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Julia A. Jones - Principal Investigator Oregon State University;Department of Geosciences; Wilkinson Hall 104, Corvallis, OR, 97331-5506, USAPhone: (541) 737-1224Email: Julia.Jones@oregonstate.edu, geojulia@comcast.netORCID: http://orcid.org/0000-0001-9429-8925
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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.edu
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Michael P. Nelson - Principal Investigator Department of Forest Ecosystems and Society; 201K Richarson Hall; College of Forestry; Oregon State University, Corvallis, OR, 97331Phone: 541-737-9221Email: mpnelson@oregonstate.eduORCID: http://orcid.org/0000-0001-6917-4752
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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 InvestigatorOregon State University;Dept. of Forest Science;321 Richardson Hall, Corvallis, OR, 97331-5752, USAPhone: (541) 737-6559Email: bbgriff@peak.org, griff@for.orst.edu
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Robert P. Griffiths
Role: AbstractorOregon State University;Dept. of Forest Science;321 Richardson Hall, Corvallis, OR, 97331-5752, USAPhone: (541) 737-6559Email: bbgriff@peak.org, griff@for.orst.edu
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Robert P. Griffiths
Role: CreatorOregon State University;Dept. of Forest Science;321 Richardson Hall, Corvallis, OR, 97331-5752, USAPhone: (541) 737-6559Email: 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, 97331Email: hjaweb@fsl.orst.edu
Publisher
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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@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
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Andrews Experimental Forest (HJA)
W -122.26172200, E -122.10084700, N 44.28196400, S 44.19770400Altitude: 1631 to 1631 meter
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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.