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Metadatabase view - dataset:
Biological and environmental database of the Ruhr catchment (Germany)
General information
dataset entry ID:
MARS_14
name of the dataset:
full name of the dataset:
Biological and environmental database of the Ruhr catchment (Germany)
type of dataset (
more information
):
species (taxonomic group) per site database including environmental information
data type:
point data/observation data
short description of the dataset/summary:
The database of the EU project MARS contains point data of macroinvertebrates, fish and macrophytes including hydromorphological, physico-chemical and land use information. Most biotic and physico-chemical data have been collected as part of an extensive national monitoring survey. Land use infromation (ATKIS land cover data) was GIS-based generated for fixed buffer strips with different widths and lengths.
keywords according to
GCMD
:
topic:
Biosphere, Biological Classification
ISO topic category according to
ISO 19115
:
Biota, Environment, Inland Waters
INSPIRE keywords according to
GEMET
:
own science keywords:
macroinvertebrates, macrophytes, fish, freshwater, river, hydromorphology, land use, physico-chemical parameters
Technical and administrative specifications
data format:
Access
operating system:
all Windows systems
data language:
English
current access level:
internal
currently available through
GBIF
:
no
exchange planned:
no
data in data repository:
no
Do you plan to publish the data on the Freshwater Biodiversity Data Portal:
no
update level:
continuously updated
documentation:
type:
internal description
language:
English
contact details:
metadata contact person:
first, last name:
Alexander
Gieswein
phone:
+492011833113
email:
alexander.gieswein@uni-due.de
institution:
Department of Aquatic Ecology, University of Duisburg-Essen
address:
Universitätsstr. 5
postal code, city:
45141
Essen
province, state:
North Rhine-Westphalia
country
Germany
web address:
www.uni-due.de/aquatic_ecology
technical contact person:
first, last name:
Alexander
Gieswein
phone:
+492011833113
email:
alexander.gieswein@uni-due.de
scientific contact person:
first, last name:
Alexander
Gieswein
phone:
+492011833113
email:
alexander.gieswein@uni-due.de
Intellectual property rights and citation
dataset creator (data compiler):
contact name:
Alexander Gieswein
contact email:
alexander.gieswein@uni-due.de
contact institution:
University of Duisburg-Essen
data contributors to/owners of this dataset:
multiple
number:
4
data contributor/owner 1
contact name:
Alexander Gieswein
contact email:
alexander.gieswein@uni-due.de
contact institute:
Department of Aquatic Ecology, University of Duisburg-Essen
criteria for using this part of the dataset:
The dataset needs to be requested from dataset creator with specific conditions of use.
data contributor/owner 2
contact name:
Michael Holland
contact email:
Michael.Holland@lanuv.nrw.de
contact institute:
Landesamt für Natur, Umwelt und Verbraucherschutz NRW
criteria for using this part of the dataset:
The dataset needs to be requested from dataset creator with specific conditions of use.
data contributor/owner 3
contact name:
Petra Podraza
contact email:
petra.podraza@ruhrverband.de
contact institute:
Ruhrverband
criteria for using this part of the dataset:
The dataset needs to be requested from dataset creator with specific conditions of use.
data contributor/owner 4
contact name:
Jelka Lorenz
contact email:
jelka.lorenz@limares.de
contact institute:
Limares
criteria for using this part of the dataset:
The dataset needs to be requested from dataset creator with specific conditions of use.
citation of this dataset:
author(s):
Alexander Gieswein
title and journal (name, number, pages):
Biological and environmental database of the Ruhr catchment (Germany)
year:
2014
citation of the metadata:
author(s):
Gieswein A.
title and journal (name, number, pages):
Metadata describing the biological and environmental database of the Ruhr catchment (Germany). Freshwater Metadata Journal 14: 1-7
year:
2016
doi (if applicable):
https://doi.org/10.15504/fmj.2016.14
General data specifications
regional coverage of the dataset:
spatial extent of the dataset:
catchment
continents:
Europe
spatial extent (bounding coordinates):
southernmost latitude [°]:
50,923073
northernmost latitude [°]:
51,528715
westernmost longitude [°]:
6,723155
easternmost longitude [°]:
8,622136
minimum altitude:
17
metres
maximum altitude:
674
metres
countries:
Europe: Germany
world climatic regions according to
Köppen
:
Group C: temperate/mesothermal climates
freshwater ecoregions of the world (FEOW) according to
WWF
:
Europe:
Central & Western Europe
European ecoregions according to Illies (
WFD
):
Central Highlands (ER9)
ecosystem type:
rivers
covered timeframe:
year from
2001
year to:
2013
Site specifications
coordinate system/grid data:
latitude/longitude
projected
datum (e.g. WGS84):
WGS84; GCS_ETRS_1989
grid data available:
no
ecosystem type classification:
rivers (classification according to WFD):
altitude typology:
mid-altitude: 200 - 800 m
size typology based on catchment area:
large: 1000 - 10000 km²
Array: yes
geology:
siliceous
site coding:
site coding available:
yes
numerical
number of digits:
4
example:
0150
number of sites:
>1000
exact number of sites:
1435
Climate and environmental data
climate related data:
no climate data available
environmental data:
available parameters per catchment:
catchment size
data source:
GIS
available parameters per site:
catchment land use along a buffer strip (100 m width on both sides) upstream (10 km) of the sampling site
data source:
GIS (ATKIS land use data)
available parameters per site:
distance to source
available parameters per site:
slope
data source:
GIS
available parameters per site:
altitude
data source:
GIS
comments:
Catchment land use in buffer strips with different widths and lengths.
physico-chemical data:
total P, total N
availability of physico-chemical data, if there is more than one sample per site:
mean values per site
stressors influencing the sites:
reference sites available:
no
available stressor types:
stressor
restored sites available
data before/after restoration available
stressor gradient available
comments
hydromorphological degradation
yes
yes
yes
Biological data
biological data origin:
from sampling
compilation of national monitoring and different project survey data
organism group addressed:
fish, macro-invertebrates, macrophytes
Sample specifications/sample resolution
fish
sample information:
covered timeframe:
year from - to:
2002 - 2013
historical data:
no
palaeo data:
no
season:
spring, summer, autumn, winter
temporal resolution/frequency of sampling:
sampling frequency is highly variable, varying from single to annual sampling
time series data:
no
comments:
diverse mix of national monitoring and different project sampling data
taxonomic resolution:
genus, species
percentage of species level data:
99
taxonomic coding:
taxalist according to:
Mauch et al. 2003
reference(s):
Mauch, E., Schmedtje, U., Maetze, A. & Fischer, F., 2003. Taxaliste der Gewässerorganismen Deutschlands zur Kodierung biologischer Befunde, Informationsberichte Heft 1/03. Bayerisches Landesamt für Wasserwirtschaft, München.
coding system:
Dv-Nr
example:
9020
sample specifications:
quantitative (abundance data)
replicate samples:
no
number of samples:
506
specification of method(s) used for sampling and sorting:
electro fishing, WFD method
reference(s):
Dußling, U., Berg, R., Klinger, H. & Wolter, C., 2004. Assessing the ecological status of river systems using fish assemblages. Assessing the ecological status of river systems using fish assemblages. Handbuch Angewandte Limnologie, 20. Erg. Lfg. 12/04: 1-84.
macro-invertebrates
sample information:
covered timeframe:
year from - to:
2001 - 2013
historical data:
no
palaeo data:
no
season:
spring, summer, autumn, winter
temporal resolution/frequency of sampling:
sampling frequency is highly variable, varying from single to annual sampling
time series data:
no
comments:
diverse mix of national monitoring and different project sampling data
taxonomic resolution:
family, genus, species
percentage of species level data:
46
taxonomic coding:
taxalist according to:
www.freshwaterecology.info
coding system:
ID-fwe
example:
5291
sample specifications:
quantitative (abundance data)
number of samples:
1629
specification of method(s) used for sampling and sorting:
Multi-Habitat-Sampling (MHS)
reference(s):
Haase, P., Lohse, S., Pauls, S., Schindehütte, K., Sundermann, A., Rolauffs, P. & Hering, D., 2004. Assessing streams in Germany with benthic invertebrates: development of a practical standardised protocol for macroinvertebrate sampling and sorting. Limnologica 34 (4): 349-365.
macrophytes
sample information:
covered timeframe:
year from - to:
2006 - 2013
historical data:
no
palaeo data:
no
season:
summer, autumn
temporal resolution/frequency of sampling:
sampling frequency is highly variable, varying from single to annual sampling
time series data:
no
comments:
diverse mix of national monitoring and different project sampling data
taxonomic resolution:
genus, species
percentage of species level data:
95
taxonomic coding:
taxalist according to:
Mauch et al. 2003
reference(s):
Mauch, E., Schmedtje, U., Maetze, A. & Fischer, F. 2003: Taxaliste der Gewässerorganismen Deutschlands zur Kodierung biologischer Befunde, Informationsberichte Heft 1/03. Bayerisches Landesamt für Wasserwirtschaft, München.
coding system:
DV-Nr
example:
2074
sample specifications:
semi-quantitative
replicate samples:
no
number of samples:
447
specification of method(s) used for sampling and sorting:
WFD method
reference(s):
Schaumburg, J., Schranz, C., Meilinger, P., Stelzer, D., Hofmann, G., Foerster, J., Gutowski, A., Schneider, S., Köpf, B. & Schmedtje, U., 2005. Makrophyten und Phytobenthos in Fließgewässern und Seen - Das deutsche Bewertungsverfahren: Entwicklung, Praxistest und Ausblick. Limnologie Aktuell 11: 63-75.
Other specifications
GIS layers, shape files related to the dataset:
catchments, river-sub-basins
land use
others/details:
Hydromorphological data available for each 100m stretch of the streams in the basin (20 parameters per 100m stretch).
Digital Elevation Model (10m grid size).
availability of photos:
no
availability of maps:
no
quality control procedures:
Were any quality control procedures applied to your dataset?
no
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