[Parameters: Topic='AGRICULTURE', Term='SOILS', Variable_Level_1='SOIL PH']
Long Term Land Use Experiment (DIII, Berlin-Dahlem/Germany), Soil Organic Matter NetworkEntry ID: HUB.IFP.DIII
Abstract: This experiment began in 1923. The land uses in the project are:
1923-66 "free" rotation, 50% cereals,50% non-cereals; since 1967 4
year rotation either fodder beet,winter wheat,potatoes,winter wheat or
winter rye,winter wheat,oats,winter wheat (treatment E). Treatments:
A. 2xdepth of ploughing; B.with/without lime; C. with/without phosphate;
D. with/without stable manure; E. crop rotation. A,B,C ... from 1923; D
since 1939; E since 1967.
The site is classified in the cool temperate climatic region. The
average climatic conditions at the experimental site are:
Minimum annual temperature: 5.7 deg C
Mean annual temperature: 9.2 deg C
Maximum annual temperature: 12.7 deg C
Minimum annual rainfall: 356 mm
Mean annual rainfall: 547 mm
Maximum annual rainfall: 736 mm
The soil at the site is described as an Albic Luvisol (FAO). The
characteristics of the soil are:
Ap 0-30 cm: silty sand, single grain structure; Al 30-50 cm: silty sand,
single grain structure; al/IIBt 50-60 cm: silty/loamy sand,
single grain/subpolyhedric structure; IIbt 60-80 cm: loamy sand, single
grain/subpolyhedric structure; IICv >80 cm: loamy sand,
single grain/subpolyhedric structure.
The measurements made, methodology, and frequency are listed below:
a) Vegetation measurements made and frequency
Total above-ground dry matter: Annual
1967-70: N,P,K. 1989/89: Cd,Pb,Cu,Zn (selected treatments).
b) Soil sampling
Details of soil sampling method: 25 single samples are taken per
plot using an auger, combined to give a mixed sample. The samples are
generally taken from 3 replications (nos 4,5,6; ie 96 plots) at
irregular intervals, depending on special research projects. Due to
the large number of treatments (32) sampling is sometimes limited to
selected treatments. Soil is separated into layers
Details of measuring depths and soil layers: 0-16,16-30,30-50 cm.
The frequency of sampling is generally the same for all layers.
c) Soil measurements made and frequency
Total carbon: Irregular - 1937,52,56,62,67,70,88,89,90.
Method of measuring total carbon: Different methods used during
the course of the experiment. The latest sampling used gas
chromatographic determination of CO2 and N2 after dry combustion of
soil (with Nitrogen Analyser Carlo Erba 1500).
Total nitrogen: Irregular (1937,52,56,62,67,70,88,89,90).
Method of measuring total nitrogen: Methods have varied during the
course of the experiment.
Total mineral nitrogen: 1989,1990 only
Method of measuring total mineral nitrogen: NO3 - Na-Salicylate
method; NH4 - Nessler's Reagent
Soil bulk density or weight: Irregular (1961/2,67-70,88)
Other nutrients: pH
(1923,26,29,31,32,34,39,46,47,52,56,62,67,70,75,85,88,89, 90). P
(1924,32,38,49,52,56,62,67,70). K (1924,32,38,56,62,67,70). Ca
(1956). Mg (1956). Cd,Pb,Cu,Zn (1988/89).
Atmospheric inputs: Measurements of nutrient inputs (several anions
and cations) contained in rainfall are available (long term values
from other experiments in the research station).
Other measurements: Soil: several microbiological parameters
(1988-90). Plant: sociology of weeds (1988-90); investigaations into
the yield structure of cereals (ears/sq m, 1000 grain weight,
grains/ear, grains/sq m, nos of fertile and sterile spikelets, etc),
d) Details of the meteorological station
Nearest meteorological station to the site: Berlin-Dahlem which is
.5 km from the site at coordinates 13deg18min E, 52deg28min
N. Meteorological data is available from both a manual and an
e) Meteorological data available and frequency
Air temperature: Daily/continuous
Soil temperature: Daily/continuous at Several depths depth
Wind speed: Continuous
Net Radiation: Continuous
Sun hours: Daily
Relative humidity: Daily/continuous
Potential evapotranspiration: Daily measured/calculated by 1953-1980:
Piche, Wild, Mitscherlich. 1981-> Class A pan,
Czeratzki. Calculated values by the methods of Penman, Thornthwaite,
This information was compiled for the GCTE-SOMNET Database, Pete
Smith, Pete Falloon, David Powlson, and Jo Smith. Soil Science
Department, IACR-Rothamsted, UK.
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Data Set Citation
Dataset Originator/Creator: Zwally, H.J., R. Schutz, C. Bentley, J. Bufton, T. Herring, J. Minster, J. Spinhirne, R. Thomas
Dataset Title: GLAS/ICESat L1A Global Altimetry Data
Dataset Release Date: 2003-01-01
Dataset Release Place: Boulder, CO, USA
Dataset Publisher: National Snow and Ice Data Center
Version: 18Online Resource: http://nsidc.org/data/gla01.html
Start Date: 2003-02-20
ISO Topic Category
Quality Quality indicators for MODIS snow data can be found in the following places:
* AutomaticQualityFlag and the ScienceQualityFlag metadata objects and their corresponding explanations: AutomaticQualityFlagExplanation and ScienceQualityFlagExplanation located in the CoreMetadata.0 global attributes
... * Custom local attributes associated with each Scientific Data Set, for example, Maximum Snow Extent. These quality indicators are generated during production or in post-production scientific and quality checks of the data product.
For more information on local and global attributes, go to one of the following documents:
* MOD10A2 and MYD10A2 Local Snow Cover Attributes, Version 5
* MOD10A2 and MYD10A2 Global Snow Cover Attributes, Version 5
The AutomaticQualityFlag is automatically set according to conditions for meeting data criteria in the snow mapping algorithm. In most cases, the flag is set to either Passed or Suspect, and in rare instances it may be set to Failed. Suspect means that a significant percentage of the data were anomalous and that further analysis should be done to determine the source of anomalies. The AutomaticQualityFlagExplanation contains a brief message explaining the reason for the setting of the AutomaticQualityFlag. The ScienceQualityFlag and the ScienceQualityFlagExplanation are set after production, either after an automated QA program is run or after the data product is inspected by a qualified snow scientist. Content and explanation of this flag are dynamic so it should always be examined if present. The algorithm tests for a variety of anomalous conditions and sets the pixel value accordingly if such conditions are detected. Summary statistics about missing data, the percent cloud cover, the percent of good or other quality data, and snow cover percent are calculated and placed in the metadata for each product. The NASA Goddard Space Flight Center: MODIS Land Quality Assessment Web site provides updated quality information for each product.
Data Set Progress
Role: DIF AUTHOR
Phone: (301) 614-6898
Email: Tyler.B.Stevens at nasa.gov
NASA Goddard Space Flight Center Global Change Master Directory
Province or State: MD
Postal Code: 20771
Algermissen, S. T., Perkins, D. M., Thenhaus, P. C., Hanson, S. L. and
Bender, B. L., 1982, Probabilistic estimates of maximum acceleration
and velocity in rock in the contiguous United States:
U. S. Geol. Survey Open-File Report 82-1033, 99 p.
Creation and Review Dates
DIF Creation Date: 2002-06-21
Last DIF Revision Date: 2008-02-01