DANUBE BASIN DATABASE MEETING
Explanatory meeting for contributors of data, JRC/Ispra/Soil&Waste Unit
22–23 January, 2004
Final Minutes
Participants
Representatives of contributors:
DI Freudenschuß Alexandra
Umweltbundesamt GmbH / Federal Environment Agency Ltd.
Abteilung Terrestrische Ökologie / Dept. Terrestrial Ecology
Wien, Austria
Prof. Dr. J. Kozák- dean
University of Agriculture, Prague
Faculty of Agronomy; Department of Soil Science and Geology
Praha, Czech Republic
Prof. Erika Micheli
Department of Soil Science and Agrochemistry
Szent Istvan University, Godollo
Hungary
Dr. Endre Dobos
University of Miskolc
Miskolc, Hungary
Bohumil Šurina
Soil Science and Conservation Research Institute, Bratislava
Bratislava, Slovakia
Rastislav Skalský
Soil Science and Conservation Research Institute, Bratislava
Bratislava, Slovakia
Representatives of JRC/IES/ Ispra
Luca Montanarella, Soil&Waste Unit
Beata Houskova, Soil&Waste Unit
Nicola Filippi, Soil&Waste Unit
Panagos Panos, Soil&Waste Unit
Marc Van Liedekerke, Soil&Waste Unit
Joel Daroussin, Soil&Waste Unit
Jean Dusart, Soil&Waste Unit
Jerzy Chmiel, Institute for the Protection and Security of the Citizen (IPSC)
Jutta Del Pozzo Tielen, Land management Unit
Johan Van Der Knijff, Land management Unit
Karl Wachter, Land management Unit
The first day of the meeting
Thursday, 22/01/04
Late morning: Georeferenced soil databases
Chairperson: L. Montanarella
11:00
11:10
Welcome and introduction
Georeferenced Soil database
for Europe, Manual of
Procedures, Vers. 1.1
11:40
11:50
Discussion
12:20
12:30
Soil database for the soil map
1:250,000; example Italy
Discussion
14:30
14:40
15:10
15:20
All
Nicola Filippi
All
Lunch
Afternoon: Odra basin examples, Danube basin
14:00
Luca Montanarella, JRC
Luca Montanarella
The Georeferenced soil
database, example Odra
basin
Discussion
Chairperson: B. Houskova
Jerzy Chmiel
All
Using of soil databases for Thielen Del Pozo Jutta
flooding models
Discussion
Soil Information System of
the Danube River Basin
All
Beata Houskova
15:30
15:45
Coffee break
Particular problems with
Danube basin database
Representatives of included
countries: Austria, Czech
Republic, Hungary, SerbiaMontenegro, Slovakia
(about 10 minutes each)
16:35
17:45
Discussion
Conclusions of first day
All
18:00
20.00
Transport to Hotel
Dinner offered by JRC
Luca Montanarella, Beata
Houskova
Representatives or contributors from countries already signed contract for data
delivery participated on this meeting. Countries in touch are: Austria, Czech Republic,
Hungary, and Slovakia. The first day of the meeting started with a short invitation by
meeting’s chairman Luca Montanarella. Lectures of JRC staff included in soil
monitoring and flooding predictions were presented according to the program agenda.
After introductory presentation of Danube basin database the presentations from
interest countries started. This was focused on data connected with Danube basin area,
their quality, density and type. These presentations pointed out the differences in soil
data according to different monitoring systems in individual countries.
Representative from Austria informed about possible data delivery and monitoring
sites density according to land use. Sites follow a systematic grid of 4x4 km for arable
land and grassland. For forests the density of data is 8,7 x 8,7 km. Point data delivery
is preferable for Austria.
Czech Republic can contribute with both point or polygon data, WRB or FAO soil
classification systems. Czech Republic has soil map also in scale1:250,000.
Hungary has soil data coming mainly from Soil Conservation Information and
monitoring System (TIM). TIM comprises 1236 monitoring sites established
according to representative areas of geographic units. The data can be delivered as
point data or polygon data. Polygons have been established according to main soil
typological units and can include different geomorphological units contrary to
soilscape approach. Majority of monitoring sites are on arable land (865), than forest
land (183) and so called hot spots (188). Data density introduce grid 10 x 10 km.
Slovak Republic. Soil Science and Conservation Research Institute According to
complexity criterion (both spatial and attribute complexity), the fundamental database
consisting of georeferenced both spatial as well as analytical data on the Slovak soils
involves: Digital database of pedo-ecological units – PEU-DB – (in property and
administration of SSCRI) Digital database of selected soil profiles of
agricultural soils inventory – KPP-DB (in property and administration of
SSCRI)Geochemical atlas of Soils database – GChA-DB – (in property of
Ministry of environment and in administration of SSCRI)Soil Maps of Slovak
republic (M 1:500,000, 1:400,000) (in property and administation of
SSCRI)Soil monitoring system in Slovakia consists of 3 subsystems:
1 - the basic network of monitoring sites (650) at 5 years regular intervals.
2 - the key monitoring sites (21) at 1 years regular intervals.
3 - the area soil of soil contamination survey which has been realised on 19 257
agricultural plots. Monitoring of forests soils is according to grid 8 x 8 km (also for
agricultural land) or 16 x 16 km in accordance with international program for evaluation of
influences of polluted air on ecosystems. KPP monitoring comprises about 18 000 profile data
with coordinates. Slovakia can contribute with polygon, grid or point data.
The second day of the meeting
Friday, 23/01/04
Morning: Particular problems with Danube basin database
9:00
9:10
10:30
10:45
12:00
Welcome and introduction
Roundtable
Coffee break
Roundtable
Luca Montanarella, JRC
All
All
Lunch
Afternoon: Particular problems with Danube basin database
(continued)
13:00
13:30
13:45
Chairpersons: L. Montanarella,
B. Houskova
Roundtable
Conclusions
End of the meeting
Chairpersons: L. Montanarella,
Beata Houskova
All
L. Montanarella
Discussion about common format of data delivery was during second day of meeting.
According to country presentations point data were assigned as compulsory data
information level because every country can contribute with such type of data.
For data treatment the Georeferenced Soil Database for Europe – Manual of
Procedures, Version 1.1 by soil Bureau Scientific Committee was confirmed as
compulsory manual.
The soilscape approach was changed to point data approach and compulsory items of
data table have been set up from soil body identification table, soil body measurement
table and soil horizon measurement table (see below).
Table 1 Items in the soil body definition table
Identifier
soil_body (key)
sb_wrb
sb_mat
sb_obst
Type
char 10
char 10
char 3
char 1
Mandatory
yes
yes
yes
yes
Example
33.2.SB821
stn-vr -LV
900
1
Description
Code soil body (SB821) within soil region (33.2)
WRB-classification 1
Parent material 2
Depth to obstacle for roots
3
1
: see appendix 1: WRB soil names 1998
: see appendix 2: List of parent materials
3
: see appendix 3: Determination table for depth to obstacle for roots
Identification of soil body within soil region was changed to a soil point identification (ID) unique for
the data provided. This ID will be identical with original one used in each country. Information can
have maximally 20 characters, without space.
2
Soil body measurements table
This table contains site characteristics for soil profiles sampled in the field work. The
soil profiles put in the database are georeferenced by (X, Y) coordinates and have a
limited spatial extent (a few m2). For this reason no indication of spatial variation is
given. Table 2 gives the attributes.
Table 2 Items in the soil body measurements table compulsory for database
Shaded areas contain compulsory attributes
Identifier
soil_body (key)
Type
char 10
Mandatory
yes
Example
33.2.SB821
sbsm_X
num 5
yes
12.10
sbsm_Y
num 4
yes
35.20
sbsm_alt
sbsm_depw
num 4
num 3
yes
yes
812
20
Description 1
code soil body (SB821) within soil
region (33.2)
X-coordinate
representative
soil
profile (eastern latitude)
Y-coordinate
representative
soil
profile (longitude)
Surface altitude (meter a.s.l.)
average depth to water table (dm)
Horizon measurements table
The horizon characteristics for representative soil profiles are characteristically obtained during the
field work, and refer to a scale of a few m2. For this reasons no indication of spatial variation is given.
Table 3 gives the attributes.
Table 3 Items in the horizon measurements table
Shaded areas contain compulsory attributes
Identifier
soil_body (key)
body_hor (key)
sbhm_top
sbhm_bot
sbhm_clay
sbhm_clayQ1
sbhm_clayQ2
sbhm_silt
sbhm_siltQ1
sbhm_siltQ2
Type
char 10
char 3
num 3
num 3
num 2
char 10
char 1
num 2
char 10
char 1
Mandatory
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
Example
33.2.SB821
1ap
0
20
20
NLD01_1988
m
40
NLD01_1988
m
Description 1
code soil body
code soil horizon
starting depth horizon (cm)
ending depth horizon (cm)
clay content (%)
country, lab and year of analysis
quality estimate of analysis
silt content (%)
country, lab and year of analysis
quality estimate of analysis
sbhm_sand
sbhm_sandQ1
sbhm_sandQ2
sbhm_stgr
sbhm_stgrQ1
sbhm_stgrQ2
sbhm_om
sbhm_omQ1
sbhm_omQ2
num 2
char 10
char 1
char 2
char 10
char 1
num 4.1
char 10
char 1
yes
yes
yes
yes
yes
yes
yes
yes
yes
40
NLD01_1988
m
vv
NLD01_1988
m
8.1
NLD01_1988
m
sand content (%)
country, lab and year of analysis
quality estimate of analysis
stone/gravel abundance and size
country, lab and year of analysis
quality estimate of analysis
organic matter content (%)
country, lab and year of analysis
quality estimate of analysis
There was a discussion about number of information levels per one point. Decision
was that as least two horizons information levels have to be added to the database per
one point.
The decision of number of points information was set up to 1 200 points per country
from the whole territory.
Question about data exploitation, readability and publicity was added to
representatives JRC/IES from the contributors side. It was answered that data will be
used for the needs of LISFLOOD (flooding prediction model) only and not for
construction of soil map of Europe in scale 1:250,000. IES representatives gave
information about future meeting from EC side (held in September 2004), which will
deal with establishing common policies concerning data treatment and conditions of
use in European Union countries.
Data line for data delivery was set up to the end of March, 2004. Data will be
delivered in Excel, possible also Access table format. Contributors will obtain
template tables for filling the data and guide book for this purpose.
There was discussion about possible publishing of basic soil data via Internet. This
possibility has a lot of practical and legal difficulties so to this time is seems be not
realistic.