SP021: Chemical and biochemical characteristics of soils along transects in stands with different vegetation and successional characteristics in the Andrews Experimental Forest, 1996
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. Chemical and biochemical characteristics of soils along transects in stands with different vegetation and successional characteristics in the Andrews Experimental Forest, 1996 Long-Term Ecological Research Andrews Forest LTER Site. [Database]. Available: https://andrewsforest-stage.forestry.oregonstate.edu/data/fsdb-data-catalog/SP021 Accessed 2026-05-10.
Abstract
To better understand the effects vegetation has on forest soils, we established a number of sampling transects running from old-growth (OG) forests into stands with different vegetation or transects within different vegetation types without an OG component. Each transect was made up of 75 meter segments in both the OG and “treatment” stands. Soil samples and field observations were made at 5 meter-intervals along these segments. Where indicated, the OG portion of the transect acted as a pseudocontrol. The types of vegetation assemblages studied were: (1) a 26 year-old young stand (YS), (2) 6 sites showing normal to fast recovery (FAST) ranging in age from 29 to 36 years, (3) 5 sites showing slow recovery (SLOW) after clear-cutting ranging in age from 27 to 36 years, (4) 4 degraded (DEGRAD) sites ranging in age from 26 to 35 years, (5) 2 grass sites (GRASS), 26 years and undisturbed, and (6) a bracken fern site (FERN) aged at 26 years. Of these, the DEGRAD, GRASS and FERN sites showed much higher levels of denitrification potential than the other sites suggesting that mineralized fixed nitrogen was being lost from these sites at higher rates than the other vegetation types. Ectomycorrhizal mats were also essentially absent from sites as well. The concentration of living roots was highest in the YS and GRASS sites. The lowest concentrations of labile or biologically active organic carbon as measured by laboratory respiration rates, was found in the DEGRAD sites. The lowest levels of mineralizable (labile) organic nitrogen were found in the FERN site. Litter depth was lowest in the YS and GRASS sites and highest in the FERN site. There were a number of differences found between FAST and SLOW sites that reflected the different NNP activities in these stands. The concentration of ectomycorrhizal mats was greater in the FAST stands. Additionally, litter depth, field respiration rates were all greatest in the FAST stands, all of these patterns would be expected from stands with greater NPP. The concentration of mineralizable nitrogen, extractable ammonium and denitrification potentials were all lowest in the FAST stands suggesting that more organic nitrogen is being cycled and utilized by the faster growing trees. The higher concentration of mycorrhizal mats in these sites could provide the mechanism for cycling organic nitrogen a more rapid rate that in the SLOW sites where they are not as numerous.
Coverage
Temporal coverage: 1996-07-01 to 1996-09-30
Geographic coverage: N/A
Bounds: W N/A, E N/A, N N/A, S N/A
Purpose
- Vegetation can profoundly influence both the chemistry and biology of soils; altering soils in a way that enhances plant community resiliency to perturbation (Perry et al.1989). To a large degree, this finding explains why forests that have been disturbed by fire, disease, wind-throw, harvesting or other factors typically return to the same vegetative assemblage that was present before the disturbance. For instance comparative studies between grasslands and forests have shown large differences in soil chemistry (Göceoðlu, 1988; Hart et al., 1992; Popenoe et al., 1992; Ross et al., 1996; Yakimenko, 1997); litter decomposition rates (Hunt et al., 1988; Köchy and Wilson, 1997) and food web compositions (Hunt et al., 1987; Ingham at al., 1989).
- The main objective of this study was to run a survey on the effects of different types of vegetation and rates of early succession on forest soil properties. In past studies, we had observed significant differences in soil properties in a chronosequence of post-clear-cut stands ranging in age from 5 to 40 years (seed data in study code SP07: “Disturbance effects on soil processes (stand age study))”. We found significant differences in soil properties between 5 year-year old stands and old-growth stands. The differences were essentially nonexistent after 40 years. We wanted to determine if we could detect differences in soils associated with different vegetation types (i.e. GRASS and FERN) as well as soils associated with stands with different rates of recovery after clear-cutting. The extreme on this continuum is the DEGRAD sites where essentially no conifers have become reestablished after harvest. The SLOW sites were those that did not have canopy closure after approximately 30 years and the FAST sites were ones that did.
- The main focus of Synthesis Area “B” of LTER4 is early plant succession. Our study was designed to provide preliminary information about how the rate of early succession might impact soil processes. The current study was an important first step before conducting a much more comprehensive study of early succession sites conducted during 1998 and 1999. The results of this more recent study are reported in the data file entitled “Influence of coniferous tree invasion on forest meadow soil properties” (study code SP012). The current study also laid the groundwork for a data set entitled “Effects of bracken fern invasions on soil processes in clear-cut marginal sites” completed in 1997. In addition, it laid the groundwork for a 1998 study of forest meadow invasion by conifers in a data set entitled “Influence of coniferous tree invasion on forest meadow soil” (See SP016).
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, USAPhone: 541-758-7771Email: 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, USAPhone: (541) 737-1224Email: Julia.Jones@oregonstate.edu, geojulia@comcast.netORCID: 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, 97331Phone: (541) 737-3841Email: 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, 97331Phone: 541-737-9221Email: mpnelson@oregonstate.eduORCID: 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 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
-
Alan K. Swanson
Role: Other Researcher
-
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
-
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
-
Robert P. Griffiths
Oregon State University;Dept. of Forest Science;321 Richardson Hall, Corvallis, OR, 97331-5752, USAPhone: (541) 737-6559Email: bbgriff@peak.org, griff@for.orst.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@fsl.orst.edu
Study Description
To better understand the effects vegetation has on forest soils, we established a number of sampling transects running from old-growth (OG) forests into stands with different vegetation or transects within different vegetation types without an OG component. Each transect was made up of 75 meter segments in both the OG and “treatment” stands. Soil samples and field observations were made at 5 meter-intervals along these segments. Where indicated, the OG portion of the transect acted as a pseudocontrol. The types of vegetation assemblages studied were: (1) a 26 year-old young stand (YS), (2) 6 sites showing normal to fast recovery (FAST) ranging in age from 29 to 36 years, (3) 5 sites showing slow recovery (SLOW) after clear-cutting ranging in age from 27 to 36 years, (4) 4 degraded (DEGRAD) sites ranging in age from 26 to 35 years, (5) 2 grass sites (GRASS), 26 years and undisturbed, and (6) a bracken fern site (FERN) aged at 26 years. Of these, the DEGRAD, GRASS and FERN sites showed much higher levels of denitrification potential than the other sites suggesting that mineralized fixed nitrogen was being lost from these sites at higher rates than the other vegetation types. Ectomycorrhizal mats were also essentially absent from sites as well. The concentration of living roots was highest in the YS and GRASS sites. The lowest concentrations of labile or biologically active organic carbon as measured by laboratory respiration rates, was found in the DEGRAD sites. The lowest levels of mineralizable (labile) organic nitrogen were found in the FERN site. Litter depth was lowest in the YS and GRASS sites and highest in the FERN site. There were a number of differences found between FAST and SLOW sites that reflected the different NNP activities in these stands. The concentration of ectomycorrhizal mats was greater in the FAST stands. Additionally, litter depth, field respiration rates were all greatest in the FAST stands, all of these patterns would be expected from stands with greater NPP. The concentration of mineralizable nitrogen, extractable ammonium and denitrification potentials were all lowest in the FAST stands suggesting that more organic nitrogen is being cycled and utilized by the faster growing trees. The higher concentration of mycorrhizal mats in these sites could provide the mechanism for cycling organic nitrogen a more rapid rate that in the SLOW sites where they are not as numerous. Vegetation can profoundly influence both the chemistry and biology of soils; altering soils in a way that enhances plant community resiliency to perturbation (Perry et al.1989). To a large degree, this finding explains why forests that have been disturbed by fire, disease, wind-throw, harvesting or other factors typically return to the same vegetative assemblage that was present before the disturbance. For instance comparative studies between grasslands and forests have shown large differences in soil chemistry (Göceoðlu, 1988; Hart et al., 1992; Popenoe et al., 1992; Ross et al., 1996; Yakimenko, 1997); litter decomposition rates (Hunt et al., 1988; Köchy and Wilson, 1997) and food web compositions (Hunt et al., 1987; Ingham at al., 1989). Field Methods - SP021
Purpose: Vegetation can profoundly influence both the chemistry and biology of soils; altering soils in a way that enhances plant community resiliency to perturbation (Perry et al.1989). To a large degree, this finding explains why forests that have been disturbed by fire, disease, wind-throw, harvesting or other factors typically return to the same vegetative assemblage that was present before the disturbance. For instance comparative studies between grasslands and forests have shown large differences in soil chemistry (Göceoðlu, 1988; Hart et al., 1992; Popenoe et al., 1992; Ross et al., 1996; Yakimenko, 1997); litter decomposition rates (Hunt et al., 1988; Köchy and Wilson, 1997) and food web compositions (Hunt et al., 1987; Ingham at al., 1989).
Methods
Method Steps
Field Methods - SP021
- At each sample location along these transects, a 4.7 x 10 cm soil core was taken for subsequent analysis. The samples were transported to the laboratory in an ice chest and subsequently stored at 15 degrees C until the initiation of analyses, usually within 16 h of their receipt. The following measurements were made in the field: litter depth, mineral soil respiration, soil and air temperature, light levels and ectomycorrhizal mat characteristics. Field (forest floor) 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. Electronic thermometers calibrated at 0°C with ice water measured soil temperature. The temperature probes were inserted into the mineral soil to a depth of 10 cm.
- 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 - SP021
- 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 pH was measured in 1:10 (soil:distilled water) slurries of oven-dried (100 degrees C) soil. These slurries were shaken for 1 h prior to reading pH values with a Sigma model E4753 electrode. Soil organic matter was measured by loss-on-ignition at 550 degrees C for 6 h after oven drying at 100 degrees C. The dry mass of live roots within the cores was measured by removing by hand roots in cores that had been dried for 8 h at 100 degrees C.
- Denitrification potential was measured 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.
- 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. Substrate induced respiration (SIR) was also measured in these soils. The reaction vessels were prepared as before except 0.1 mL of 1 M glucose solution was added to the reaction vessel and the assay for CO evolution rates were calculated from the difference between the headspace CO concentrations after the first h incubation and the concentration 2 h later. SIR was calculated by subtracting CO evolution rates without the glucose amendment from the rates in the presence of glucose.
- Extractable ammonium was determined by shaking 10 g of field-moist soil with 50 mL 2 M KCl for 1 h (Keeney and Nelson 1982), adding 0.3 mL 10 M NaOH to the slurry, and measuring ammonium concentration with an Orion model 95-12 ammonium electrode (Orion Research Inc., Boston, MA). Mineralizable N was measured by the waterlogged technique of Keeney and Bremner (1966). For each analysis, 10 g of field-moist soil were added to 53 mL of distilled water in a 20 x 125 mm screw-cap test tube, and incubated at 40 degrees C for 7 d. Then 53 mL of 4 M KCl was added to the slurry, and ammonium concentration was determined with the ammonium electrode. Mineralizable N was calculated as the difference between initial and final ammonium concentrations.
- 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).
Sampling
Study Extent
- Sampling frequency: One set of measurements for each transect at each
Sampling Description
- Sampling transects ran from old-growth (OG) forests into stands with different vegetation or were stand-alone transects within each vegetation type or successional type. Each transect was made up of 75 meter segments in both the OG and “treatment” stands. Soil samples and field observations were made at 5 meter-intervals along these segments.
Spatial Sampling Units
-
Andrews Experimental Forest (HJA)
W -122.26172200, E -122.10084700, N 44.28196400, S 44.19770400Altitude: 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: soil properties (theme), succession (theme), inorganic nutrients (theme), plants (theme)
- Andrews Experimental Forest site thesaurus: Long-Term Ecological Research (LTER) (theme)
- LTER core research areas: 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 |
SP02101
SP02101 Chemical and biochemical characteristics of soils along transects in stands with different vegetation and successional characteristics.: |
METADATA | DATA |
Metadata
SP02101 - SP02101
Object name: SP02101.csv
Records: 589
Attributes: 18
File size: 46410 byte
Checksum (MD5): d95e1cdd1ec4934e8693d5b1a3270306
Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column
Constraints (1)
-
notNullConstraint: NOTNULL SP02101.GAUT, SP02101.HYSTER, SP02101.POSITION, SP02101.TRANSECT, SP02101.TREATMENT
Attributes (18)
TRANSECT - numeric(2,0) (interval)
ID: SP02101.TRANSECT
Transect number going from og control to treatment stand
Type system: Microsoft SQL Server 2008
Unit: number
Precision: 1.000000
Numeric domain: type=natural, min=29.0000 (exclusive=false), max=47.0000 (exclusive=false)
POSITION - numeric(2,0) (ratio)
ID: SP02101.POSITION
Position along each 75 meter leg; each 5 meters apart
Type system: Microsoft SQL Server 2008
Unit: number
Precision: 1.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=75.0000 (exclusive=false)
TREATMENT - char(5) (nominal)
ID: SP02101.TREATMENT
Treatment type; OG=oldgrowth; DEGRAD=degraded; YS=young stand
Type system: Microsoft SQL Server 2008
SOILTEMP - numeric(5,1) (ratio)
ID: SP02101.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=25.0000 (exclusive=false)
AIRTEMP - numeric(5,1) (interval)
ID: SP02101.AIRTEMP
Air temperature measured with Licor
Type system: Microsoft SQL Server 2008
Unit: degrees Celsius
Precision: 0.100000
Numeric domain: type=real, min=8.0000 (exclusive=false), max=40.0000 (exclusive=false)
LIGHT - numeric(5,1) (ratio)
ID: SP02101.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=2000.0000 (exclusive=false)
MOIST - numeric(5,1) (ratio)
ID: SP02101.MOIST
Percent moisture: ((wet-dry)/dry)*100
Type system: Microsoft SQL Server 2008
Unit: percent
Precision: 0.100000
Numeric domain: type=real, min=7.0000 (exclusive=false), max=200.0000 (exclusive=false)
BULKDENS - numeric(4,2) (ratio)
ID: SP02101.BULKDENS
Bulk density
Type system: Microsoft SQL Server 2008
Unit: grams per square centimeter
Precision: 0.010000
Numeric domain: type=real, min=0.0000 (exclusive=false), max=1.0000 (exclusive=false)
LITTER - numeric(4,1) (ratio)
ID: SP02101.LITTER
Litter depth
Type system: Microsoft SQL Server 2008
Unit: centimeters
Precision: 0.100000
Numeric domain: type=real, min=0.0000 (exclusive=false), max=25.0000 (exclusive=false)
ROOTS - numeric(5,3) (ratio)
ID: SP02101.ROOTS
Dry mass of living roots in 4.7 x 10 cm core
Type system: Microsoft SQL Server 2008
Unit: grams
Precision: 0.001000
Numeric domain: type=real, min=0.0000 (exclusive=false), max=3.0000 (exclusive=false)
HYSTER - numeric(3,0) (ratio)
ID: SP02101.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: SP02101.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)
DENIT - numeric(6,2) (ratio)
ID: SP02101.DENIT
Denitrification potential (dry weight basis, as N)
Type system: Microsoft SQL Server 2008
Unit: nanograms per gram per hour
Precision: 0.010000
Numeric domain: type=real, min=0.0000 (exclusive=false), max=450.0000 (exclusive=false)
EXAMM - numeric(5,1) (ratio)
ID: SP02101.EXAMM
Extractable ammonium (dry weight basis)
Type system: Microsoft SQL Server 2008
Unit: micromoles per gram
Precision: 0.100000
Numeric domain: type=real, min=0.0000 (exclusive=false), max=15.0000 (exclusive=false)
MINN - numeric(5,1) (ratio)
ID: SP02101.MINN
Mineralizable nitrogen (dry weight basis)
Type system: Microsoft SQL Server 2008
Unit: micromoles per gram
Precision: 0.100000
Numeric domain: type=real, min=0.0000 (exclusive=false), max=70.0000 (exclusive=false)
B_GLUC - numeric(5,3) (ratio)
ID: SP02101.B_GLUC
Beta-glucosidase activity (dry weight basis)
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)
LABRESP - numeric(5,1) (ratio)
ID: SP02101.LABRESP
Laboratory respiration rates (dry weight basis)
Type system: Microsoft SQL Server 2008
Unit: micrograms per gram per hour
Precision: 0.100000
Numeric domain: type=real, min=0.0000 (exclusive=false), max=200.0000 (exclusive=false)
FLDRESP - numeric(5,1) (ratio)
ID: SP02101.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=70.0000 (exclusive=false)
Units
| grams per square centimeter | g/cm2 | arealMassDensity | gramPerCentimeterSquared | kilogramPerMeterSquared | 0.0000001 | grams per square centimeter |
| 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 |
| micrograms per gram per hour | ug/g*hour | massPerMassRate | microgramPerGramPerHour | kilogramPerKilogramPerSecond | 0.0036 | micrograms per gram per hour |
| micromoles per square meter per second | umol/m2*sec | arealAmountOfSubstanceConcentrationRate | micromolePerMeterSquaredPerSecond | molePerMeterSquaredPerSecond | 1000000 | micromoles per square meter per second |
| centimeters | cm | length | centimeter | meter | 0.01 | centimeters; .01 meters |
| micromoles per gram | umol/g | amountOfSubstanceWeight | micromolePerGram | molePerKilogram | 0.001 | micromoles per gram |
| percent | % | dimensionless | number | dimensionless | 100 | percent; a number |
| 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 |
| number | number | dimensionless | number | dimensionless | 1 | dimensionless number, i.e., ratio, count |
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 PI will be listed as a co-author. 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 (2001-05-02) Original metadata creation.
-
Version2 (2002-02-08) Metadata restructured and moved into SQLServer metadata database LTERMETA. Data moved into SQLServer database FSDBDATA.