LUQ LTER DATA SETS DOCUMENTATION FORM

ON-LINE VERSION

A DATA SET is a series of observations collected by the same methodology. Each data set should have documentation sufficient for someone unfamiliar with the research to replicate the study. Data sets may be broken into subsets (data files) that are discrete in space and time, in that order. The documentation for a data set should include all spatial and temporal subdivisions of the data.

(Data, Abstract, Methods, Variables)

NOTES:

PERSON(S) COMPLETING THIS FORM: E-MAIL ADDRESS:

Douglas Schaefer

dougschaefer@scientist.com

Eda C. Meléndez-Colom

emelendez@lternet.edu

DATA SET IDENTIFIER: Longterm Intersite Decomposition Experiment (LIDET)

PROJECT TITLE: Long-term Intersite Decomposition Experiment (LIDET)

PROJECT DESCRIPTION: The LIDET experiment is designed to test the effects of substrate quality and macroclimate on long-term decomposition and nutrient release dynamics of fine litter.  Although other factors, such as the decomposer biota, may also influence these long-term dynamics, we felt that substrate quality and macroclimate would explain the largest proportion of the variation and would be the easiest to extrapolate geographically. The role of the decomposer biota is tested indirectly by the LIDET experiment, however, as the litter used was not native to the sites.  If there is a large interaction between substrate quality and decomposer biota, then some species of litter may decompose faster or slower than generally expected at some of the sites.

The LIDET decomposition experiments have been installed at 28 sites that span a wide array of ecosystems, from tundra to warm desert to shortgrass steppe to moist tropical forest (Table I, Figure 1).  Precitpitation ranges from 230 to 4000 mm year1 and mean annual air temperature ranges from 7-26 C (Figure 2). Although many sites differ markedly in precipitation and temperature, many are distinguishable only by their seasonal dynamics.  The Konza and Andrews sites, for example, have identical abiotic decomposition indices (Parton et al. 1987) but distinctly different precipitation patterns, with winter rainfall at Andrews and summer rainfall at Konza.

LTER CORE AREAS: Annotate all that apply (See online list)

Organic Matter Accumulation
Inorganic Inputs and Nutrient Movements

LEF LTER 1 RESEARCH TOPIC: (Annotate all that apply) (See online list)

Litter breakdown
Soil organic matter formation


We define a data file as a component of a data set. A data set can have only one data file or more. Basically, different data files have different data structures or format . DATA SET FILES (SUBSETS):

Data File No.

Data File Identifier

On-Line Filename

Starting Date

Periodicity of sample

End Period

1
LIDET newmass.txt
September 12, 1990
Approx 120 days April 15, 1993

RESEARCH LOCATION: In Puerto Rico: At 350m near the El Verde Field Station in the Tabonuco Forest

INVESTIGATORS:

PRINCIPAL INVESTIGATORS

E-MAIL ADDRESS:

D. Jean Lodge dlodge@fs.fed.us

OTHER RESEARCHERS

E-MAIL ADDRESS:

Douglas Schaefer

dougschaefer@scientist.com

Mark Harmon

MHarmon@lternet.edu


CONTACT PERSONS

Phone Number (Include area code)

E-MAIL ADDRESS:

D. Jean Lodge

DJLodge@coqui.net

(787) 889-7445

SOURCE OF FUNDING (SPONSOR): NSF-LTER and NSF-LIDET

DATA SET ABSTRACT: LIDET is the LTER Longterm Intersite Decomposition Experiment Team. It is a leaf, wood, and root decomposition study carried out at 28 LTER and other sites including LUQ. The duration of the study is designed to be approximately 10 yrs at temperate zone sites and approximately 3 yrs at tropical zone sites because of higher decomposition rates there. The same decomposing materials, litter bags, and study design are used at all sites to facilitate intersite comparisons.

Not all species were used at all sites.Six leaf litter species were used extensively at all sites that cover a range of leaf quality to permit a comparison of effects of litter quality and climate on decomposition.The others were present in the study as "wild cards", with at least one species contributed by each site. Three species of roots, and one species of wood were used.  

DATA SET METHODS: Leaves were placed in mesh bags with 0.1 mm lower holes and either 1 or 7 mm upper holes. Roots were all in 0.1 mm mesh bags. Leaves and root bags were placed under the soil surface litter layer. Wood was commercial 1/4 inch dowels inserted halfway into the ground to measure both aboveground and belowground decomposition rates. All materials were placed in the field at the same time. At each sampling period, 4 replicates of each assigned type were collected and sent to Oregon State University for processing. At LUQ, litter was field exposed at 350 m elevation in Tabonuco forest type near the El Verde Field Station.

REFERENCES:
Aber, J.D., J.M. Melillo, and C.A. McClaugherty. 1990. Predicting long-term patterns of mass loss, nitrogen dynamics, and soil organic matter formation from initial fine litter chemistry in temperate forest ecosystems. Can. J. Bot. 68: 2201-2208

Berg, B., G. Ekbohm, and C.A. McClaugherty.1984. Lignin and holocellulose relations during long-term decomposition of some forest litters.  Long-term decomposition in a Scots pine forest.IV.  Can. I. Bot. 62: 25402550>

Berg, B., and H. Staaf. 1981.Leaching, accumulation and release of nitrogen in decomposing forest litter.  Pages 163-178 in F.E. Clark and T. Rosswal, eds.  Terrestrial Nitrogen Cycles.  Ecol. Bull. Vol. 33. Swedish Natural Science Research Council, Stockhom, Sweden

Bunnell, F.L., and D.E.N. Tait. 1977. Microbial respiration and substrate loss. II. A model of the influences of chemical composition.  Soil Biol. Biochem. 9: 41-47

Bunnell, F.L., D.E.N. Tait, P.W. Flanagan, and K.Van Cleve.1977. Microbial respiration and substrate loss.I. A general model of the influences of abiotic factors.  Soil Biol. Biochem. 9: 33-40

Edmonds R. L. 1984. Long-term decomposition and nutrient dynamics in Pacific silver fir needles in western Washington.Can.  J. For. Res. 14: 395-400

Foge, R., and K. Cromach, Jr. 1977. Effect of habitat and substrate quality on Douglas-fir litter decomposition in western Oregon.  Can. I. Bot.55: 1632-1640

Heath, G.W., C.A. Edwards, and M.K. Arnold. 1964. Some methods for assessing the activity of soil animals in the breakdown of leaves.  Pedobiologica 4: 80-87.
 
Houghton, R.A., J.E. Hobbie, J.M. Melillo, B. Moore, B.J. Peterson, G.R. Shaver, and G.M. Woodwell. 1983. Changes in carbon content of terrestrial biota and soils between 1860 and 1980: a net release of CO2 to the atmosphere.  Ecol.Monogr. 53: 235-262

Howard, P.J.A., and D.M.Howard. 1974. Microbial decomposition of tree and shrub litter. I. Weight loss and chemical composition of decomposing litter. Oikos 25: 314-352

International Geosphere-Biosphere Programme (IGBP). 1990. The International Geosphere-Biophere Programme; study of global change.  The Initial Core Projects. IGBP Rep. 12. Stockholm, Sweden

Jansson, P.E., and B. Berg. 1985. Temporal variation of litter decomposition in relation to simulated soil climate: long-term decomposition in a Scots pine forest. Can. J. Bot. 63: 1008-1016

Kurcheva, G.F. 1960. The role of invertebrates in the decomposition of oak litter.  Pedology, Leningrad 4: 16-23.
 
Lousier, J.D., and D. Parkinson.1978. Chemical element dynamics in decomposing leaf litter.  Can. J. Bot. 56: 2795-2812

Lubchenco, J., A. M. Olson, L. B. Brubaker, S. R. Carpenter, M. J. Holland, S. P. Hubbel, S. A. Levin, J. A. MacMahon, P.A. Matson, J. M. Melillo, H.A. Mooney, C. H. Peterson, H.R. Pulliam, L. A. Real, P.J. Regal, and P.G. Risser. 1991. The sustainable biosphere initiative: an ecological research agenda. Ecology 72: 371-412

McClaugherty, C. A., J. Pastor, J. D. Aber, and J. M.  Melillo.1985. Forest litter decomposition in relation to soil nitrogen dynamics and litter quality. Ecology 66: 266-275

Parton, W. J., D. S. Schimel, C. V. Cole, and D. S. Ojima. 1987.  Analysis of factors controlling soil organic matter levels in Great Plains grasslands. Soil Sci. Soc. Am. J. 51: 1173-1179

Rasteter, E., M. G. Ryan, G.R. Shaver, J.M. Melillo, K. J. Nadelhoffer, J.E. Hobbie, and J.D. Aber. 1991. A general biogeochemical model describing the response of the C and N cycles in terrestrial ecosystems to changes in CO2 climate, and N deposition. Tree Physiology 9: 101-126

Ryan, M.G., J.M. Melillo, and A. Ricca. 1990. A comparison of methods for determining proximate carbon fractions forest litter.  Can. J. For. Res. 20: 166-171

Swift, M.J., O.W. Heal, and J.M. Anderson. 1979. Decomposition in Terrestrial Ecosystems. University of California Press, Berkeley and Los Angeles

Vogt, K. A., C.C. Grier, and D.J.Vogt. 1986. Production, turnover, and nutrient dynamics of above-and below-ground detritus of world forests.  Adv. Ecol. Res. 15: 303-377

Wessman, C.A., J.D. Aber, D.L. Peterson, and J.M. Melillo. 1988a.  Foliar analysis using near infrared reflectance spectroscopy.  Can. J. For. Res. 18: 6-11

___________. 1988b.Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems. Nature 335: 154-156

Witkamp, M., and J.S. Olson. 1963. Breakdown of confined and nonconfined oak litter. Oikos 14: 138-147


CROSS-REFERENCES (other data sets related to this one):
LTERDBAS 93, 94, 95, 98, 111, 115

SAMPLE LOCATION: Forestry Science Laboratory, Oregon State University

STORAGE SITES(of data files): Data Managent's File Cabinet DM-002 Drawer# 1; Forestry Science Laboratory, Oregon State University

INVESTIGATOR'S ASSIGNED KEYWORDS: litter decomposition, soil organic matter, nutrient fluxes, LTER

LEF LTER OFFICIAL KEYWORDS (See table): EL VERDE, TABONUCO, CLIMATE, CATIONS AND ANIONS, GAS EXCHANGE, RAINFALL, PEER REVIEWED DATA SET

PUBLICATIONS:

DISSEMINATION:

RESTRICTED ___ UNRESTRICTED _X _

REASONS TO RESTRICT DATA IN THIS DATA SET BEYOND ITS TWO YEAR POLICY PERIOD*:

*WILL HAVE TO BE APPROVED BY AT LEAST ONE LUQ LTER PRINCIPAL INVESTIGATORS: N. Brokaw, J. ZIMMERMAN, A. LUGO

FILING

___ "File" copy only:Data Management will only file an electronic copy of the data file and its documentation
___ " Enter" data on-line:Data Management will be in charge of entering the data on computer files (Contact Eda C. Meléndez)

SITES DESCRIPTIONS:

Geographical positional system (GPS) Coordinates for each location:

location

latitude

longitude

At 350m near the El Verde Field Station in the Tabonuco Forest

18° 19" 21' N

65° 49" 13' W

VARIABLES (ATTRIBUTES):

File Name or # above (all in which the variable appears)

1

1 1 1

AbbreviationAbbreviation(as it appears on the data file)

ID

LRW

A/B/L/R

SP

NAME OF VARIABLE

Sample ID

Leaf/Root/Wood

Decomposed Above/Decomposed Below/Leaf/Root

Species code

DEFINITION OF VARIABLE

Sample ID number assigned by OSU. No data is missing for this field. Sample is leaf, root or wood. No data is missing for this field. Sample was decomposed above- or below-ground, leaf or root. No data is missing for this field. Four letter species code usually having the first two letters from the genus and last two from the species, all in capital letters. No data is missing for this field.

UNIT

       

PRECISION

       

RANGE OR LIST OF VALUES

      ABCO = Abies concolor, ABLA = Abies lasiocarpa, ACCI = Acer circinatum, ACMA = Acer macrophyllum, ACSA = Acer saccharum; sugar maple, AMBR = Ammophia breviligulata; beach grass, ANGE = Schizachyrium gerardi; big blue stem, ANSC = Schizachyrium scoparium; little blue stem, BELU = Betula lutea; yellow birch, BOER = Boutloua eriopoda; black gramma, BOGR = Boutloua gracilis; blue gramma, CEGR = Ceanothus greggii, CONU = Cornus nuttalii; pacific dogwood, DRGL = Drypetes glauca, FAGR = Fagus grandifolia; beech, GOBA = Gonystyus bancanus; ramin, GYLU = Gymnantes lucida, KOMY = Kobresia myosuroides, LATR = Larrea tridentata; creosote bush, LITU = Liriodendron tulipifera; yellow poplar, MYCE = Myrica cerifer; wax myrtle, PIEL = Pinus elliotii; slash pine, PIMO = Pinus monticola, PIRE = Pinus resinosa; red pine, PIST = Pinus strobus; eastern white pine, POTR = Populus tremuloides; aspen, PSTD = pine needle standard, PSME = Pseudotsuga menziesii; douglas-fir, QUPR = Quercus prinus; chestnut oak, RHMA = Rhododendron macrophyllum; pacific rhododendron, ROPS = Robinea pseudoacacia; black locust, SPAL = Spartina alternifolia; salt water cordgrass, THPL = Thuja plicata; western red cedar, TRAE = Triticum aestivum; wheat, VOFE = Vochysia ferragenea

DATA TYPE

numeric

alphanumeric

alphanumeric

alphabetic

MISSING DATA CODES

       

VARIABLES (ATTRIBUTES):

File Name or # above (all in which the variable appears)

1

1 1 1

AbbreviationAbbreviation(as it appears on the data file)

DATE1

DATE2

INTERVAL

YRS

NAME OF VARIABLE

Date placed Date removed Sampling interval Exposure period

DEFINITION OF VARIABLE

Date (in format mm/dd/yyyy) when sample was placed in field. No data is missing for this field.

Date (in format mm/dd/yy) when sample was removed from field. No data is missing for this field.

Interval of time in years during which sampling was removed from field. No data is missing for this field.

Period of sample field in years exposure. No data is missing for this field.

UNIT

      years

PRECISION

       

RANGE OR LIST OF VALUES

   

1-10

0.31-2.59

DATA TYPE

datetime

datetime

integer

datetime

MISSING DATA CODES

       

VARIABLES (ATTRIBUTES):

File Name or # above (all in which the variable appears)

1

1 1 1

AbbreviationAbbreviation(as it appears on the data file)

REP

MESH

IADW

IODW

NAME OF VARIABLE

Sample replicate number Mesh opening size Initial air dry weight Initial oven dry weight

DEFINITION OF VARIABLE

Replicate number of sample. No data is missing for this field.

Mesh opening size of litter bag. When datum is missing field is left blank or it has a period.

Initial air dry weight of sample. No data is missing for this field.

Initial oven dry weight of sample. No data is missing for this field.

UNIT

 

millimeter

gram

gram

PRECISION

    0.001 0.001

RANGE OR LIST OF VALUES

1-4

0.1, 1, 7, . = missing datum

   

DATA TYPE

numeric

numeric

numeric

numeric

MISSING DATA CODES

 

 

   

VARIABLES (ATTRIBUTES):

File Name or # above (all in which the variable appears)

1

1 1 =1

AbbreviationAbbreviation(as it appears on the data file)

FWW

FODW

LENGTH

IADW1

NAME OF VARIABLE

Final wet weight Final organic matter dry weigh Length of wooden dowel Initial air dry weight of wooden dowel

DEFINITION OF VARIABLE

Final wet weight of sample. When datum is missing field is left blank.

Final organic matter dry weight of sample. When datum is missing field is left blank.

Length of wooden dowel sample. When datum is missing field is left blank.

Initial air dry weight of wooden dowel sample. When datum is missing field is left blank.

UNIT

gram

gram

centimeter

gram

PRECISION

0.01 0.001 0.1 0.001

RANGE OR LIST OF VALUES

       

DATA TYPE

numeric

numeric

numeric

numeric

MISSING DATA CODES

       

VARIABLES (ATTRIBUTES):

File Name or # above (all in which the variable appears)

1

1

1

1

AbbreviationAbbreviation(as it appears on the data file)

IODW1

IASH%

FASH%

IAFW

NAME OF VARIABLE

Initial oven dry weight of wooden dowe Initial percent ash content Final percent ash content Initial ash free dry weight

DEFINITION OF VARIABLE

Initial oven dry weight of wooden dowel sample. When datum is missing field is left blank.

Percent ash content before field exposure. When datum is missing field is left blank.

Percent ash content after field exposure. When datum is missing field is left blank.

Initial ash free dry weight. When datum is missing field is left blank.

UNIT

gram

 

 

gram

PRECISION

0.001 0.01 0.01 0.001

RANGE OR LIST OF VALUES

       

DATA TYPE

numeric

numeric

numeric

numeric

MISSING DATA CODES

       

VARIABLES (ATTRIBUTES):

File Name or # above (all in which the variable appears)

1

1

1

1

1

AbbreviationAbbreviation(as it appears on the data file)

FAFW

PRM%

PAFRM%

KDW

KAFW

NAME OF VARIABLE

Final ash free dry weight

Percent of initial mass remaining

Percent of initial ash free mass remaining

Decay constant on dry weight basis

Decay constant on ash free weight basis

DEFINITION OF VARIABLE

Final ash free dry weight. When datum is missing field is left blank.

Percent of initial mass remaining. When datum is missing field is left blank..

Percent of initial ash free mass remaining. When datum is missing field is left blank.

Decay constant on dry weight basis per years. Formula used to calculate it is kdw = natural log (prm%)/interval. When datum is missing field is left blank.

Decay constant on ash free weight basis per years. Formula used to calculate it is kafw = natural log (pafrm%)/interval When datum is missing field is left blank.

UNIT

gram

 

 

 

 

PRECISION

0.001 0.001 0.001 0.001 0.001

RANGE OR LIST OF VALUES

         

DATA TYPE

numeric

numeric

numeric

numeric

numeric

MISSING DATA CODES

         

COMPUTATIONAL METHODS:

Variable Name

Formula

kdw

kdw = natural log (prm%)/interval

kafw

kafw = natural log (pafrm%)/interval



FOR DATA MANAGER USE ONLY

DATE OF LAST REVIEW: April 24, 2009
DATE OF LAST ENTRY:
STAGE OF DATA SET MANAGEMENT (dates):
RECEIVED ENTERED:
FILED ON-LINE
REVIEWED BY RESEARCHER: January, 2002

FILING MEDIA:
NAME OF DOCUMENTATION FILE: lterdb89.htm
NAME OF ON - LINE CATALOG: LTERDBAS
RECORD #:   89
DOCUMENT TYPE: computer media
PRIORITY TO BE ENTERED: N/A

Rev. Date of this form: 28 July 200/ 15 July  2001/June 9, 2003/March 16, 2004/12 April 2005/ 8 November 2005/ 16 January 2006