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TN021: Soil solution chemistry in Detrital Input and Removal Treatments (DIRT) from the Andrews Experimental Forest, 1999-2019

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Status: irregular
Period: 1999-12-01 to 2011-04-15
Version: 2
Published: 2013-01-03
EDI Package ID: knb-lter-and.5195.2
Source XML: TN021_2.xml

Notice

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

Citation

Lajtha, K. 2013. Soil solution chemistry in Detrital Input and Removal Treatments (DIRT) from the Andrews Experimental Forest, 1999-2019 Long-Term Ecological Research Andrews Forest LTER Site. [Database]. Available: https://andrewsforest-stage.forestry.oregonstate.edu/data/fsdb-data-catalog/TN021 Accessed 2026-05-10.

Abstract

The Detrital Input and Removal Treatment (DIRT) Project was established to assess how rates and sources of plant litter inputs influence accumulations or losses of organic matter in forest soils. DIRT employs chronic additions and exclusions of aboveground litter inputs and exclusion of root ingrowth to permanent plots at eight forested and two shrub/grass sites in the northern hemisphere to investigate how soil organic matter (SOM) dynamics are influenced by plant detrital inputs across ecosystem and soil types. The long-term DIRT study at the H.J. Andrews Experimental Forest was established in an old-growth forest stand on the valley floor and aims to address how detrital quality and quantity control soil organic matter accumulation and stabilization. The DIRT plots consist of treatments that double leaf litter, double woody debris inputs, exclude aboveground litter inputs, remove root inputs via trenching, or remove all organic matter inputs. We measured changes in soil solution chemistry with depth, and conducted long-term incubations of bulk soils from different treatments in order to elucidate effects of detrital inputs on the relative amounts and lability of different soil C pools. These data include various properties of the DIRT plots obtained during re-measurements at various intervals. C and N concentrations and content in soil, CO2 efflux, and soil solution chemistry are measured from bulk samples to 1 m depth, field respiration measurements, and lysimeters at 2 depths, respectively, and assessed at Oregon State University.

Coverage

Temporal coverage: 1999-12-01 to 2011-04-15

Geographic coverage: N/A

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

Purpose
  • Soil organic matter (SOM) is the terrestrial biosphere's largest pool of organic carbon and is an integral part of the global C cycle. Therefore, changes in SOM formation and decomposition due to climate change, land management, disturbance or other factors can feed back to the climate system to either sequester CO2 into organic forms or release it to the atmosphere. Despite its pivotal role in the global C cycle, the relative importance and linkages of the various biological, chemical and physical processes regulating SOM balances are not well understood. Although forests contain more than 3x the soil C (575 x 1015 g) of agricultural lands (180 x 1015 g), forest SOM dynamics and their relation to detrital inputs and soil biotic processing remain poorly understood. Even fundamental relationships, such as between mean annual temperature and SOM turnover rates, are controversial. A major challenge for environmental science is to develop a predictive understanding of how climate and vegetation interact to determine how detritus and soil biota affect SOM formation and stability. Over the years, our informal group of ecologists, biogeochemists and ecosystem modelers has been using a common set of experimental manipulations, referred to collectively as DIRT (Detritus Input and Removal Treatments), to assess how rates and sources of plant inputs control the accumulation and dynamics of SOM and nutrients in forest soils over decadal time scales. The original DIRT treatments consist of chronically altering plant inputs to forest soils by regularly removing surface litter from permanent plots and adding it to others. Our network of DIRT sites now includes four operational temperate forest sites. The central goal of the DIRT project is to assess how rates and sources of plant litter inputs control the accumulation and dynamics of organic matter and nutrients in forest soils over decadal time scales. The project examines processes at multiple levels, across decades and centuries, exploring the intricate interconnections of biology and chemistry that lead to the formation of humic materials over these hitherto unexplored long time spans. Our plots are part of an informal network of similar experimental treatments that span a significant climatic gradient and that encompass both coniferous and deciduous forests, and that vary widely in anthropogenic N loading. Current DIRT sites include Harvard Forest, MA (oak forest, established 1991); Bousson Experimental Research Reserve, PA (deciduous forest, established 1992); Sikfokut Forest, Hungary (turkey oak forest, established 2001), and the Michigan Biological Station, MI (pine forest, established 2004).
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
  • Kate Lajtha
    Role: Principal Investigator
    Oregon State University;Dept. of Botany and Plant Pathology;2059 Cordley Hall, Corvallis, OR, 97331, USA
    Phone: (541) 737-5674
    Email: lajthak@science.oregonstate.edu
  • Derek Pierson
    Role: Other Researcher
    Email: piersond@oregonstate.edu
  • Phillip Sollins
    Role: Other Researcher
    Emeritus, Oregon State University;Forest Ecosystems & Society, Corvallis, OR, 97331-5752, USA
    Phone: (541) 737-6582
    Email: phil.sollins@oregonstate.edu
  • Hayley Peter-Contesse
    Role: Other Researcher
    Email: petercoh@oregonstate.edu
  • April Strid
    Role: Other Researcher
  • Fox Sparky Peterson
    Role: Other Researcher
    Phone: 404-580-5016
    Email: fox@tinybike.net
  • Jennifer Dawn Wig
    Role: Other Researcher
    Forest Ecosystems and Society
  • Kim Townsend
    Role: Other Researcher
    Botany and Plant Pathology;Oregon State University, Corvallis, OR, 97331, USA
    Email: townseki@oregonstate.edu, zoeykim@aol.com
  • Kate Lajtha
    Role: Creator
    Oregon State University;Dept. of Botany and Plant Pathology;2059 Cordley Hall, Corvallis, OR, 97331, USA
    Phone: (541) 737-5674
    Email: lajthak@science.oregonstate.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
  • Fox Sparky Peterson
    Phone: 404-580-5016
    Email: fox@tinybike.net
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

The Detrital Input and Removal Treatment (DIRT) Project was established to assess how rates and sources of plant litter inputs influence accumulations or losses of organic matter in forest soils. DIRT employs chronic additions and exclusions of aboveground litter inputs and exclusion of root ingrowth to permanent plots at eight forested and two shrub/grass sites in the northern hemisphere to investigate how soil organic matter (SOM) dynamics are influenced by plant detrital inputs across ecosystem and soil types. The long-term DIRT study at the H.J. Andrews Experimental Forest was established in an old-growth forest stand on the valley floor and aims to address how detrital quality and quantity control soil organic matter accumulation and stabilization. The DIRT plots consist of treatments that double leaf litter, double woody debris inputs, exclude aboveground litter inputs, remove root inputs via trenching, or remove all organic matter inputs. We measured changes in soil solution chemistry with depth, and conducted long-term incubations of bulk soils from different treatments in order to elucidate effects of detrital inputs on the relative amounts and lability of different soil C pools. These data include various properties of the DIRT plots obtained during re-measurements at various intervals. C and N concentrations and content in soil, CO2 efflux, and soil solution chemistry are measured from bulk samples to 1 m depth, field respiration measurements, and lysimeters at 2 depths, respectively, and assessed at Oregon State University. Soil organic matter (SOM) is the terrestrial biosphere's largest pool of organic carbon and is an integral part of the global C cycle. Therefore, changes in SOM formation and decomposition due to climate change, land management, disturbance or other factors can feed back to the climate system to either sequester CO2 into organic forms or release it to the atmosphere. Despite its pivotal role in the global C cycle, the relative importance and linkages of the various biological, chemical and physical processes regulating SOM balances are not well understood. Although forests contain more than 3x the soil C (575 x 1015 g) of agricultural lands (180 x 1015 g), forest SOM dynamics and their relation to detrital inputs and soil biotic processing remain poorly understood. Even fundamental relationships, such as between mean annual temperature and SOM turnover rates, are controversial. A major challenge for environmental science is to develop a predictive understanding of how climate and vegetation interact to determine how detritus and soil biota affect SOM formation and stability. Over the years, our informal group of ecologists, biogeochemists and ecosystem modelers has been using a common set of experimental manipulations, referred to collectively as DIRT (Detritus Input and Removal Treatments), to assess how rates and sources of plant inputs control the accumulation and dynamics of SOM and nutrients in forest soils over decadal time scales. The original DIRT treatments consist of chronically altering plant inputs to forest soils by regularly removing surface litter from permanent plots and adding it to others. Our network of DIRT sites now includes four operational temperate forest sites. The central goal of the DIRT project is to assess how rates and sources of plant litter inputs control the accumulation and dynamics of organic matter and nutrients in forest soils over decadal time scales. The project examines processes at multiple levels, across decades and centuries, exploring the intricate interconnections of biology and chemistry that lead to the formation of humic materials over these hitherto unexplored long time spans. Our plots are part of an informal network of similar experimental treatments that span a significant climatic gradient and that encompass both coniferous and deciduous forests, and that vary widely in anthropogenic N loading. Current DIRT sites include Harvard Forest, MA (oak forest, established 1991); Bousson Experimental Research Reserve, PA (deciduous forest, established 1992); Sikfokut Forest, Hungary (turkey oak forest, established 2001), and the Michigan Biological Station, MI (pine forest, established 2004). Field Methods - TN021

Purpose: Soil organic matter (SOM) is the terrestrial biosphere's largest pool of organic carbon and is an integral part of the global C cycle. Therefore, changes in SOM formation and decomposition due to climate change, land management, disturbance or other factors can feed back to the climate system to either sequester CO2 into organic forms or release it to the atmosphere. Despite its pivotal role in the global C cycle, the relative importance and linkages of the various biological, chemical and physical processes regulating SOM balances are not well understood. Although forests contain more than 3x the soil C (575 x 1015 g) of agricultural lands (180 x 1015 g), forest SOM dynamics and their relation to detrital inputs and soil biotic processing remain poorly understood. Even fundamental relationships, such as between mean annual temperature and SOM turnover rates, are controversial. A major challenge for environmental science is to develop a predictive understanding of how climate and vegetation interact to determine how detritus and soil biota affect SOM formation and stability. Over the years, our informal group of ecologists, biogeochemists and ecosystem modelers has been using a common set of experimental manipulations, referred to collectively as DIRT (Detritus Input and Removal Treatments), to assess how rates and sources of plant inputs control the accumulation and dynamics of SOM and nutrients in forest soils over decadal time scales. The original DIRT treatments consist of chronically altering plant inputs to forest soils by regularly removing surface litter from permanent plots and adding it to others. Our network of DIRT sites now includes four operational temperate forest sites. The central goal of the DIRT project is to assess how rates and sources of plant litter inputs control the accumulation and dynamics of organic matter and nutrients in forest soils over decadal time scales. The project examines processes at multiple levels, across decades and centuries, exploring the intricate interconnections of biology and chemistry that lead to the formation of humic materials over these hitherto unexplored long time spans. Our plots are part of an informal network of similar experimental treatments that span a significant climatic gradient and that encompass both coniferous and deciduous forests, and that vary widely in anthropogenic N loading. Current DIRT sites include Harvard Forest, MA (oak forest, established 1991); Bousson Experimental Research Reserve, PA (deciduous forest, established 1992); Sikfokut Forest, Hungary (turkey oak forest, established 2001), and the Michigan Biological Station, MI (pine forest, established 2004).

Methods

Method Steps

Field Methods - TN021
  • The DIRT plots consist of 15 plots of 100 square meters located in a flat area on the H.J. Andrews experimental forest. 6 treatments are used for detrital inputs and removal: control, no litter, double litter, double wood, no roots, and no inputs. To create double litter plots, litter is removed annually from the "no litter" plots and put on the double litter plots. To create double wood, mulch is added to the system. To create no roots, the plot is trenched around the outside so that roots cannot penetrate. To create no inputs, trenching and removal are conducted. On each plot are five lysimeters which are collected with rain events when the weather permits. Soil respiration chambers also exist. Bulk soil for CHN analysis is collected from a nearby location using Oakfield corers.

Sampling

Study Extent
  • Unlike other DIRT sites, AND adds a location that is wetter and has much lower inputs of atmospheric N and much larger inputs of coarse woody debris than the other sites. Plots are sited in the low-elevation Douglas-fir/western hemlock zone on Andic soils of volcanic origin. These soils are of low density and highly sorptive, potentially leading to different nutrient dynamics than other DIRT sites. Additionally, the "double wood" treatment is implemented on Andrews, using mulch to simulate increased woody debris.
  • Sampling frequency: annually
Sampling Description
  • DIRT plots were established at the HJ Andrews Experimental forest in 1997 with USDA support. There are 15 plots on the forest, 2 for each treatment, as well as some "split plots" to address dynamics at a finer scale. The plots are about 10m - 15m (about 100 m squared) to account for the extreme forest floor heterogeneity. Unlike other DIRT sites, HJ Andrews Experimental forest adds a location that is wetter and has much lower inputs of atmospheric N and much larger inputs of coarse woody debris than the other sites. Plots are sited in the low-elevation Douglas-fir/western hemlock zone on Andic soils of volcanic origin. These soils are of low density and highly sorptive, potentially leading to different nutrient dynamics than other DIRT sites. Additionally, the "double wood" treatment is implemented on Andrews, using mulch to simulate increased woody debris.
Spatial Sampling Units
  • Andrews Experimental Forest (HJA)
    W -122.26172200, E -122.10084700, N 44.28196400, S 44.19770400
    Altitude: 1631 to 1631 meter
  • HJA DIRT Plots
    W -122.22326000, E -122.22175900, N 44.23097600, S 44.23035000
  • HJA DIRT Plot 01
    W -122.22322500, E -122.22322500, N 44.23064300, S 44.23064300
  • HJA DIRT Plot 02
    W -122.22311000, E -122.22311000, N 44.23053500, S 44.23053500
  • HJA DIRT Plot 03
    W -122.22299100, E -122.22299100, N 44.23038000, S 44.23038000
  • HJA DIRT Plot 04
    W -122.22286400, E -122.22286400, N 44.23054200, S 44.23054200
  • HJA DIRT Plot 05
    W -122.22293800, E -122.22293800, N 44.23070300, S 44.23070300
  • HJA DIRT Plot 07
    W -122.22264600, E -122.22264600, N 44.23067200, S 44.23067200
  • HJA DIRT Plot 08
    W -122.22247600, E -122.22247600, N 44.23080900, S 44.23080900
  • HJA DIRT Plot 10
    W -122.22211500, E -122.22211500, N 44.23088700, S 44.23088700
  • HJA DIRT Plot 11
    W -122.22192600, E -122.22192600, N 44.23091400, S 44.23091400
  • HJA DIRT Plot 12
    W -122.22175900, E -122.22175900, N 44.23088700, S 44.23088700
  • HJA DIRT Plot 13
    W -122.22250100, E -122.22250100, N 44.23097600, S 44.23097600
  • HJA DIRT Plot 14
    W -122.22305700, E -122.22305700, N 44.23081900, S 44.23081900
  • HJA DIRT Plot 16
    W -122.22326000, E -122.22326000, N 44.23035000, S 44.23035000
  • HJA DIRT Plot 17
    W -122.22273500, E -122.22273500, N 44.23038900, S 44.23038900
  • HJA DIRT Plot 19
    W -122.22318000, E -122.22318000, N 44.23067100, S 44.23067100
  • HJA DIRT Plot 49
    W -122.22277800, E -122.22277800, N 44.23056100, S 44.23056100
Software

No software entries listed in this EML file.

Keywords
  • LTER controlled vocabulary: biogeochemistry (theme), decomposition (theme), carbon cycling (theme), litterfall (theme), nutrients (theme), terrestrial ecosystems (theme)
Taxonomic Hierarchy
  • All Organisms: All Organisms
  • Highest common category (ca. kingdom): Plantae
  • Division or Phylum: Coniferophyta
  • Class: Pinopsida
  • Order: Pinales
  • Family: Pinaceae
  • Genus: Tsuga
  • Species: Tsuga heterophylla
  • Genus: Pseudotsuga
  • Species: Pseudotsuga menziesii
Data Entities
# Entity Metadata Data
1 TN02101
TN02101
Density Fractionation; carbon and nitrogren content by fraction:
METADATA DATA
2 TN02102
TN02102
Soil sample wet and dry weights:
METADATA DATA
3 TN02103
TN02103
Density Fractionation; carbon and nitrogren content averages by fraction across plots:
METADATA DATA
4 TN02104
TN02104
Content of organic carbon and nitrogen in soil water from soil lysimeters:
METADATA DATA
5 TN02105
TN02105
Enzyme concentrations by treatment across plots:
METADATA DATA
Metadata
TN02101 - TN02101

Object name: TN02101.csv

Records: 90

Attributes: 18

Temporal coverage: 1999-04-12 to 1999-11-26

File size: 10540 byte

Checksum (MD5): 3d5a1ffbf75cec3c65c7c3ac5d8f1df5

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

Constraints (2)
  • primaryKey: PRIMARY
    TN02101.FRACTION, TN02101.PLOT, TN02101.SAMPLE_NO, TN02101.YEAR
  • notNullConstraint: NOTNULL
    TN02101.DBCODE, TN02101.ENTITY, TN02101.FRACTION, TN02101.MGC_FRACTION_GSOIL_ALL, TN02101.MGC_GSOIL_FRACTION, TN02101.MGN_FRACTION_GSOIL_ALL, TN02101.MGN_GSOIL_FRACTION, TN02101.PCT_C_ALL, TN02101.PCT_C_FRACTION, TN02101.PCT_N_ALL, TN02101.PCT_N_FRACTION, TN02101.PLOT, TN02101.SAMPLE_NO, TN02101.SOIL_MASS_DRY, TN02101.SOIL_MASS_FRACTION, TN02101.SOIL_MASS_WET, TN02101.TREAT, TN02101.YEAR
Attributes (18)
DBCODE - char(5) (nominal)

ID: TN02101.DBCODE

Database Code (assigned by FSDB data manager)

Type system: Microsoft SQL Server 2008

Code definitions (1)
  • TN021
    FSDB database code TN021
ENTITY - numeric(2,0) (interval)

ID: TN02101.ENTITY

Entity number (data table number)

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

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

YEAR - numeric(4,0) (interval)

ID: TN02101.YEAR

Year of sampling

Type system: Microsoft SQL Server 2008

Unit: year (yyyy)

Precision: 1

Numeric domain: type=natural, min=1999.0000 (exclusive=false), max=1999.0000 (exclusive=false)

FRACTION - char(5) (ordinal)

ID: TN02101.FRACTION

Density fraction of carbon in g/cm3

Type system: Microsoft SQL Server 2008

Code definitions (6)
  • 1.65
    1.65 g/cm3 density fraction of carbon
  • 1.85
    1.85 g/cm3 density fraction of carbon
  • 2.4
    2.4 g/cm3 density fraction of carbon
  • 2.65
    2.65 g/cm3 density fraction of carbon
  • >2.65
    >2.65 g/cm3 density fraction of carbon
  • 2.0
    2.0 g/cm3 density fraction of carbon
SAMPLE_NO - numeric(2,0) (ratio)

ID: TN02101.SAMPLE_NO

Sample Code

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

Numeric domain: type=whole, min=1.0000 (exclusive=false), max=18.0000 (exclusive=false)

PLOT - char(7) (ordinal)

ID: TN02101.PLOT

Plot Code

Type system: Microsoft SQL Server 2008

Code definitions (18)
  • DIRT_01
    HJA DIRT Plot 01
  • DIRT_02
    HJA DIRT Plot 02
  • DIRT_03
    HJA DIRT Plot 03
  • DIRT_04
    HJA DIRT Plot 04
  • DIRT_05
    HJA DIRT Plot 05
  • DIRT_06
    HJA DIRT Plot 06
  • DIRT_07
    HJA DIRT Plot 07
  • DIRT_08
    HJA DIRT Plot 08
  • DIRT_10
    HJA DIRT Plot 10
  • DIRT_11
    HJA DIRT Plot 11
  • DIRT_12
    HJA DIRT Plot 12
  • DIRT_13
    HJA DIRT Plot 13
  • DIRT_14
    HJA DIRT Plot 14
  • DIRT_16
    HJA DIRT Plot 16
  • DIRT_17
    HJA DIRT Plot 17
  • DIRT_19
    HJA DIRT Plot 19
  • DIRT_49
    HJA DIRT Plot 49
  • DIRT_69
    HJA DIRT Plot 69
TREAT - char(10) (nominal)

ID: TN02101.TREAT

Treatment

Type system: Microsoft SQL Server 2008

Code definitions (6)
  • 2x litter
    Double litter - aboveground inputs are doubled by adding litter from No Litter plots.
  • 2x wood
    Double wood - woody inputs are doubled by dding shredded course woody debris.
  • control
    Control - normal litter inputs are allowed.
  • no input
    No Inputs - combined treatments from No Litter and No Roots treatments.
  • no root
    NoRoots - roots are excluded by inserting barriers around plots in backfilled trenches.
  • no litter
    No Litter - Aboveground inputs are prevented by seasonal removals.
SOIL_MASS_WET - numeric(6,3) (ratio)

ID: TN02101.SOIL_MASS_WET

Mass of soil sample prior to drying

Type system: Microsoft SQL Server 2008

Unit: grams

Precision: 1

Numeric domain: type=real, min=50.0000 (exclusive=false), max=50.0900 (exclusive=false)

SOIL_MASS_DRY - numeric(6,3) (ratio)

ID: TN02101.SOIL_MASS_DRY

Dry mass of soil sample at 50 degrees celcius

Type system: Microsoft SQL Server 2008

Unit: grams

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=46.4600 (exclusive=false)

PCT_C_ALL - numeric(7,4) (ratio)

ID: TN02101.PCT_C_ALL

Average %C in all soil fractions of the soil sample

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 1

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

PCT_N_ALL - numeric(6,4) (ratio)

ID: TN02101.PCT_N_ALL

Average %N in all soil fractions of the soil sample

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 1

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

SOIL_MASS_FRACTION - numeric(6,3) (ratio)

ID: TN02101.SOIL_MASS_FRACTION

Dry mass of soil subsample fraction at 50 degrees celcius

Type system: Microsoft SQL Server 2008

Unit: grams

Precision: 1

Numeric domain: type=real, min=0.8000 (exclusive=false), max=28.9000 (exclusive=false)

PCT_C_FRACTION - numeric(5,2) (ratio)

ID: TN02101.PCT_C_FRACTION

Percent C in the dried subsample fraction

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 1

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

PCT_N_FRACTION - numeric(4,2) (ratio)

ID: TN02101.PCT_N_FRACTION

Percent N in the dried subsample fraction

Type system: Microsoft SQL Server 2008

Unit: percent

Precision: 1

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

MGC_GSOIL_FRACTION - numeric(6,3) (ratio)

ID: TN02101.MGC_GSOIL_FRACTION

millgrams of C per gram of subsample fraction

Type system: Microsoft SQL Server 2008

Unit: milligrams

Precision: 1

Numeric domain: type=real, min=0.0100 (exclusive=false), max=53.5000 (exclusive=false)

MGC_FRACTION_GSOIL_ALL - numeric(8,3) (ratio)

ID: TN02101.MGC_FRACTION_GSOIL_ALL

milligrams of C in fraction per gram of bulk soil

Type system: Microsoft SQL Server 2008

Unit: milligrams per gram

Precision: 1

Numeric domain: type=real, min=0.2400 (exclusive=false), max=1160.3500 (exclusive=false)

MGN_GSOIL_FRACTION - numeric(6,3) (ratio)

ID: TN02101.MGN_GSOIL_FRACTION

milligrams of N per gram of subsample fraction

Type system: Microsoft SQL Server 2008

Unit: milligrams

Precision: 1

Numeric domain: type=real, min=0.0800 (exclusive=false), max=42.8200 (exclusive=false)

MGN_FRACTION_GSOIL_ALL - numeric(7,3) (ratio)

ID: TN02101.MGN_FRACTION_GSOIL_ALL

milligrams of N in fraction per gram of bulk soil

Type system: Microsoft SQL Server 2008

Unit: milligrams per gram

Precision: 1

Numeric domain: type=real, min=0.0200 (exclusive=false), max=934.4400 (exclusive=false)

TN02102 - TN02102

Object name: TN02102.csv

Records: 18

Attributes: 9

Temporal coverage: 1999-04-12 to 1999-11-26

File size: 934 byte

Checksum (MD5): f389b9fa3d66cc1e222f1b1f80f1e303

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

Constraints (2)
  • primaryKey: PRIMARY
    TN02102.SAMPLE, TN02102.YEAR
  • notNullConstraint: NOTNULL
    TN02102.DBCODE, TN02102.ENTITY, TN02102.MOISTURE_100C, TN02102.MOISTURE_50C, TN02102.SAMPLE, TN02102.SOIL_MASS_100C, TN02102.SOIL_MASS_50C, TN02102.SOIL_MASS_WET, TN02102.YEAR
Attributes (9)
DBCODE - char(5) (nominal)

ID: TN02102.DBCODE

Database Code (assigned by FSDB data manager)

Type system: Microsoft SQL Server 2008

Code definitions (1)
  • TN021
    FSDB database code TN021
ENTITY - numeric(2,0) (interval)

ID: TN02102.ENTITY

Entity number (data table number)

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

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

SAMPLE - numeric(2,0) (interval)

ID: TN02102.SAMPLE

randomly assigned sample number to determine uniqueness of dataset

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

Numeric domain: type=natural, min=1.0000 (exclusive=false), max=18.0000 (exclusive=false)

YEAR - numeric(4,0) (interval)

ID: TN02102.YEAR

Year of sampling

Type system: Microsoft SQL Server 2008

Unit: year (yyyy)

Precision: 1

Numeric domain: type=natural, min=1999.0000 (exclusive=false), max=1999.0000 (exclusive=false)

SOIL_MASS_WET - numeric(6,3) (ratio)

ID: TN02102.SOIL_MASS_WET

Mass of soil sample prior to drying

Type system: Microsoft SQL Server 2008

Unit: grams

Precision: 1

Numeric domain: type=real, min=4.9000 (exclusive=false), max=5.9000 (exclusive=false)

SOIL_MASS_50C - numeric(5,3) (ratio)

ID: TN02102.SOIL_MASS_50C

mass of the soil sample dried at 50 degrees C

Type system: Microsoft SQL Server 2008

Unit: grams

Precision: 1

Numeric domain: type=real, min=4.4000 (exclusive=false), max=5.5800 (exclusive=false)

MOISTURE_50C - numeric(7,3) (ratio)

ID: TN02102.MOISTURE_50C

moisture of the soil sample dried at 50 degrees C (soil_mass_wet - soil_mass_50c/soil_mass_50c)

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

Numeric domain: type=real, min=0.0500 (exclusive=false), max=0.1400 (exclusive=false)

SOIL_MASS_100C - numeric(5,3) (ratio)

ID: TN02102.SOIL_MASS_100C

mass of the soil sample dried at 100 degrees C

Type system: Microsoft SQL Server 2008

Unit: grams

Precision: 1

Numeric domain: type=real, min=4.3000 (exclusive=false), max=5.4600 (exclusive=false)

MOISTURE_100C - numeric(7,3) (ratio)

ID: TN02102.MOISTURE_100C

moisture of the soil sample dried at 100 degrees C (soil_mass_wet - soil_mass_100c/soil_mass_100c)

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

Numeric domain: type=real, min=0.0700 (exclusive=false), max=0.2000 (exclusive=false)

TN02103 - TN02103

Object name: TN02103.csv

Records: 36

Attributes: 7

Temporal coverage: 1999-04-12 to 1999-11-26

File size: 1521 byte

Checksum (MD5): 37597d5faddae77928eae412e6a803ca

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

Constraints (2)
  • primaryKey: PRIMARY
    TN02103.FRACTION, TN02103.TREAT, TN02103.YEAR
  • notNullConstraint: NOTNULL
    TN02103.AVG_C, TN02103.AVG_N, TN02103.DBCODE, TN02103.ENTITY, TN02103.FRACTION, TN02103.TREAT, TN02103.YEAR
Attributes (7)
DBCODE - char(5) (nominal)

ID: TN02103.DBCODE

Database Code (assigned by FSDB data manager)

Type system: Microsoft SQL Server 2008

Code definitions (1)
  • TN021
    FSDB database code TN021
ENTITY - numeric(2,0) (interval)

ID: TN02103.ENTITY

Entity number (data table number)

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

Numeric domain: type=natural, min=3.0000 (exclusive=false), max=3.0000 (exclusive=false)

YEAR - numeric(4,0) (interval)

ID: TN02103.YEAR

Year of sampling

Type system: Microsoft SQL Server 2008

Unit: year (yyyy)

Precision: 1

Numeric domain: type=natural, min=1999.0000 (exclusive=false), max=1999.0000 (exclusive=false)

FRACTION - char(5) (ordinal)

ID: TN02103.FRACTION

Density fraction of carbon in g/cm3

Type system: Microsoft SQL Server 2008

Code definitions (6)
  • 1.65
    1.65 g/cm3 density fraction of carbon
  • 1.85
    1.85 g/cm3 density fraction of carbon
  • 2.4
    2.4 g/cm3 density fraction of carbon
  • 2.65
    2.65 g/cm3 density fraction of carbon
  • >2.65
    >2.65 g/cm3 density fraction of carbon
  • 2.0
    2.0 g/cm3 density fraction of carbon
TREAT - char(10) (nominal)

ID: TN02103.TREAT

Treatment

Type system: Microsoft SQL Server 2008

Code definitions (6)
  • 2x litter
    Double litter - aboveground inputs are doubled by adding litter from No Litter plots.
  • 2x wood
    Double wood - woody inputs are doubled by dding shredded course woody debris.
  • control
    Control - normal litter inputs are allowed.
  • no input
    No Inputs - combined treatments from No Litter and No Roots treatments.
  • no root
    NoRoots - roots are excluded by inserting barriers around plots in backfilled trenches.
  • no litter
    No Litter - Aboveground inputs are prevented by seasonal removals.
AVG_C - numeric(5,2) (ratio)

ID: TN02103.AVG_C

average mg C per gram of soil

Type system: Microsoft SQL Server 2008

Unit: milligrams per gram

Precision: 1

Numeric domain: type=real, min=0.4400 (exclusive=false), max=37.0200 (exclusive=false)

AVG_N - numeric(5,3) (ratio)

ID: TN02103.AVG_N

average mg N per gram of soil

Type system: Microsoft SQL Server 2008

Unit: milligrams per gram

Precision: 1

Numeric domain: type=real, min=0.0200 (exclusive=false), max=0.8200 (exclusive=false)

TN02104 - TN02104

Object name: TN02104.csv

Records: 384

Attributes: 10

Temporal coverage: 1999-04-12 to 2011-04-15

File size: 24961 byte

Checksum (MD5): 84f03b2332dedcb1c0b6674d0a4a6b62

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

Constraints (2)
  • primaryKey: PRIMARY
    TN02104.COLLDATE, TN02104.DEPTH, TN02104.TREAT
  • notNullConstraint: NOTNULL
    TN02104.COLLDATE, TN02104.DBCODE, TN02104.DEPTH, TN02104.ENTITY, TN02104.TREAT
Attributes (10)
DBCODE - char(5) (nominal)

ID: TN02104.DBCODE

Database Code (assigned by FSDB data manager)

Type system: Microsoft SQL Server 2008

Code definitions (1)
  • TN021
    FSDB database code TN021
ENTITY - numeric(2,0) (interval)

ID: TN02104.ENTITY

Entity number (data table number)

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

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

COLLDATE - datetime (dateTime)

ID: TN02104.COLLDATE

date of collection

Type system: Microsoft SQL Server 2008

Date format: YYYY-MM-DD

DEPTH - char(3) (ordinal)

ID: TN02104.DEPTH

Lysimeter depth

Type system: Microsoft SQL Server 2008

Code definitions (2)
  • 30
    30 cm depth
  • 100
    100 cm depth
TREAT - char(10) (nominal)

ID: TN02104.TREAT

Treatment

Type system: Microsoft SQL Server 2008

Code definitions (6)
  • 2x litter
    Double litter - aboveground inputs are doubled by adding litter from No Litter plots.
  • 2x wood
    Double wood - woody inputs are doubled by dding shredded course woody debris.
  • control
    Control - normal litter inputs are allowed.
  • no input
    No Inputs - combined treatments from No Litter and No Roots treatments.
  • no root
    NoRoots - roots are excluded by inserting barriers around plots in backfilled trenches.
  • no litter
    No Litter - Aboveground inputs are prevented by seasonal removals.
DON - numeric(5,3) (ratio)

ID: TN02104.DON

dissolved organic nitrogen

Type system: Microsoft SQL Server 2008

Unit: milligrams per liter

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=2.5500 (exclusive=false)

TDN - numeric(5,3) (ratio)

ID: TN02104.TDN

total dissolved nitrogen

Type system: Microsoft SQL Server 2008

Unit: milligrams per liter

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=6.1800 (exclusive=false)

NO3 - numeric(5,3) (ratio)

ID: TN02104.NO3

nitrate

Type system: Microsoft SQL Server 2008

Unit: milligrams per liter

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=14.1400 (exclusive=false)

NH4 - numeric(5,3) (ratio)

ID: TN02104.NH4

ammonium

Type system: Microsoft SQL Server 2008

Unit: milligrams per liter

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=0.5800 (exclusive=false)

DOC - numeric(5,3) (ratio)

ID: TN02104.DOC

dissolved organic carbon

Type system: Microsoft SQL Server 2008

Unit: milligrams per liter

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=16.9000 (exclusive=false)

TN02105 - TN02105

Object name: TN02105.csv

Records: 144

Attributes: 7

Temporal coverage: 2006-06-06 to 2010-10-10

File size: 7492 byte

Checksum (MD5): ee2d1d425dc62f9c164240c0e010691c

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

Constraints (2)
  • primaryKey: PRIMARY
    TN02105.PLOT, TN02105.TREAT, TN02105.YEAR, TN02105.ENZYME
  • notNullConstraint: NOTNULL
    TN02105.DBCODE, TN02105.ENTITY, TN02105.PLOT, TN02105.TREAT, TN02105.YEAR, TN02105.ENZYME
Attributes (7)
DBCODE - char(5) (nominal)

ID: TN02105.DBCODE

Database Code (assigned by FSDB data manager)

Type system: Microsoft SQL Server 2008

Code definitions (1)
  • TN021
    FSDB database code TN021
ENTITY - numeric(2,0) (interval)

ID: TN02105.ENTITY

Entity number (data table number)

Type system: Microsoft SQL Server 2008

Unit: number

Precision: 1

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

YEAR - numeric(4,0) (interval)

ID: TN02105.YEAR

Year of sampling

Type system: Microsoft SQL Server 2008

Unit: year (yyyy)

Precision: 1

Numeric domain: type=natural, min=2006.0000 (exclusive=false), max=2010.0000 (exclusive=false)

PLOT - char(7) (ordinal)

ID: TN02105.PLOT

Plot Code

Type system: Microsoft SQL Server 2008

Code definitions (18)
  • DIRT_01
    HJA DIRT Plot 01
  • DIRT_02
    HJA DIRT Plot 02
  • DIRT_03
    HJA DIRT Plot 03
  • DIRT_04
    HJA DIRT Plot 04
  • DIRT_05
    HJA DIRT Plot 05
  • DIRT_06
    HJA DIRT Plot 06
  • DIRT_07
    HJA DIRT Plot 07
  • DIRT_08
    HJA DIRT Plot 08
  • DIRT_10
    HJA DIRT Plot 10
  • DIRT_11
    HJA DIRT Plot 11
  • DIRT_12
    HJA DIRT Plot 12
  • DIRT_13
    HJA DIRT Plot 13
  • DIRT_14
    HJA DIRT Plot 14
  • DIRT_16
    HJA DIRT Plot 16
  • DIRT_17
    HJA DIRT Plot 17
  • DIRT_19
    HJA DIRT Plot 19
  • DIRT_49
    HJA DIRT Plot 49
  • DIRT_69
    HJA DIRT Plot 69
TREAT - char(10) (nominal)

ID: TN02105.TREAT

Treatment

Type system: Microsoft SQL Server 2008

Code definitions (6)
  • 2x litter
    Double litter - aboveground inputs are doubled by adding litter from No Litter plots.
  • 2x wood
    Double wood - woody inputs are doubled by dding shredded course woody debris.
  • control
    Control - normal litter inputs are allowed.
  • no input
    No Inputs - combined treatments from No Litter and No Roots treatments.
  • no root
    NoRoots - roots are excluded by inserting barriers around plots in backfilled trenches.
  • no litter
    No Litter - Aboveground inputs are prevented by seasonal removals.
ENZYME - char(10) (nominal)

ID: TN02105.ENZYME

Enzyme measured using ester based assays

Type system: Microsoft SQL Server 2008

Code definitions (4)
  • Phosph
    Phosphatase
  • BetaGlucos
    Beta Glucose
  • PhenolOxy
    Phenol Oxidase
  • Proteinase
    Proteinase (also termed protease or peptidase)
ACTIVITY - numeric(5,2) (ratio)

ID: TN02105.ACTIVITY

millimols enzyme activity per gram*hour

Type system: Microsoft SQL Server 2008

Unit: millimol per hour per gram

Precision: 1

Numeric domain: type=real, min=0.0000 (exclusive=false), max=35.0000 (exclusive=false)

Units
milligrams mg mass milligram kilogram 0.000001 milligrams
percent % dimensionless number dimensionless 100 percent; a number
grams g mass gram kilogram 0.001 grams; 0.001 kilogram
milligrams per gram mg/g massPerMass milligramPerGram gramPerGram 0.001 milligrams per gram
milligrams per liter mg/l massDensity milligramPerLiter kilogramPerMeterCubed 0.001 milligrams per liter
number number dimensionless number dimensionless 1 dimensionless number, i.e., ratio, count
year (yyyy) YYYY datetime YYYY YYYY-MM-DDThh:mm:ss N/A year (4 character) portion of date
millimol per hour per gram mmol/hr*g specificActivity millimolPerHourPerGram katalPerKilogram 0.000278 millimol per hour per gram
Intellectual Rights

Data Use Agreement:

The re-use of scientific data has the potential to greatly increase communication, collaboration and synthesis within and among disciplines, and thus is fostered, supported and encouraged. This Data Set is released under the Creative Commons license CC BY "Attribution" (see: https://creativecommons.org/licenses/by/4.0/). Creative Commons license CC BY - Attribution is a license that allows others to distribute, remix, tweak, and build upon your work (even commercially), as long as you are credited for the original creation. This license accommodates maximum dissemination and use of licensed materials.

It is considered professional conduct and an ethical obligation to acknowledge the work of other scientists. The Data User is asked to provide attribution of the original work if this data package is shared in whole or by individual parts or used in the derivation of other products. A recommended citation is provided for each Data Set in the Andrews LTER data catalog (see: http://andlter.forestry.oregonstate.edu/data/catalog/datacatalog.aspx). A generic citation is also provided for this Data Set on the website https://portal.edirepository.org in the summary metadata page. Data Users are thus strongly encouraged to consider consultation, collaboration and/or co-authorship with the Data Set Creator.

While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed and all data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data.

General acknowledgement: Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University.

Licensed

License: 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 (2012-08-03)
    Study code and preliminary metadata established
  • Version2 (2013-01-03)
    uploaded metadata and data from XLS spreadsheets for all 5 entities. Ran QC. Uploaded data to SQL.