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Metadatabase view - dataset: Macroinvertebrate data of the Belgian River Meuse from 1998 to 2011

General information

dataset entry ID:
SF_7
name of the dataset:
full name of the dataset:
Macroinvertebrate data of the Belgian River Meuse from 1998 to 2011
dataset short name:
Meuse River macroinvertebrate dataset
type of dataset (more information):
species distribution data
data type:
point data/observation data
short description of the dataset/summary:
Between 1998 and 2011 the SPW-DEMNA sampled macroinvertebrates in 3 reaches of the River Meuse (Hastière, Andenne, Lixhe) with a protocol adapted for deep rivers.

Environmental and fish data for the Meuse are also available as separate datasets.
keywords according to GCMD:
topic:
Terrestrial Hydrosphere
ISO topic category according to ISO 19115:
Biota
INSPIRE keywords according to GEMET:
Environmental monitoring facilities, Species distribution
own science keywords:
Macroinvertebrate, River Meuse, invasive, long term monitoring
related project:
Planctonic resources decrease, and habitat alterations, which consequences for the functioning of communities? University of Namur
funding:
We would like to thank the SPW (Belgium)for providing the data corresponding to their Meuse River monitoring programs. This work was funded by the University of Namur.

Technical and administrative specifications

data format:
Excel
operating system:
Win 7
English
current access level:
web (public)
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:
already published through the Freshwater Biodiversity Data Portal
update level:
completed
type:
scientific paper
language:
English
contact details:
metadata contact person:
first, last name:
Adrien
 
Latli
phone:
081 72 42 87
email:
adrien.latli@unamur.be
institution:
University of Namur - URBE
address:
Rue Bruxelles, 61
postal code, city:
5000
 
Namur
country
Belgium
technical contact person:
Adrien
 
Latli
081 72 42 87
adrien.latli@unamur.be
scientific contact person:
first, last name:
Patrick
 
Kestemont
phone:
+32 (0)81 72 43 63
email:
patrick.kestemonti@unamur.be

Intellectual property rights and citation

dataset creator (data compiler):
contact name:
Latli Adrien
contact email:
adrien.latli@unamur.be; patrick.kestemont@unamur.be
contact institution:
University of Namur
data contributors to/owners of this dataset:
multiple
number:
2
data contributor/owner 1
contact name:
Chérot Frédéric
contact email:
frederic.cherot@spw.wallonie.be; dgarne@spw.wallonie.be
contact institute:
SPW Wallonie
criteria for using this part of the dataset:
The dataset is publicly available (data portal, data archive) and can be used without restrictions, but dataset creator/data contributors must be informed prior to publication. Data must be acknowledged and cited correctly.

data contributor/owner 2
contact name:
Adrien Latli
contact email:
adrien.latli@unamur.be; patrick.kestemont@unamur.be
contact institute:
University of Namur
criteria for using this part of the dataset:
The dataset is publicly available (data portal, data archive) and can be used without restrictions, but must be acknowledged and cited correctly.

citation of this dataset:
author(s):
Latli, A. & Chérot, F.
title and journal (name, number, pages):
Macroinvertebrate data of the Belgian River Meuse from 1998 to 2011.
year:
2017
citation of the metadata:
author(s):
Latli A., Chérot F. & Kestemont P.
title and journal (name, number, pages):
Macroinvertebrate data of the Belgian River Meuse from 1998 to 2011. Freshwater Metadata Journal 34: 1-5
year:
2018
doi (if applicable):
https://doi.org/10.15504/fmj.2018.34

dataset related references:
reference 1:
author(s):
Latli, A., Descy, J.-P., Mondy, C., Floury, M., Viroux, L., Otjacques, W., Marescaux, J., Depiereux, E., Ovidio, M., Usseglio-Polatera, P. & Kestemont, P.
title:
Long-term trends in trait structure of riverine communities facing predation risk increase and trophic resource decline. Ecological Applications 27(8): 2458-2474.
year:
2017
doi:
https://doi.org/10.1002/eap.1621

General data specifications

regional coverage of the dataset:
spatial extent of the dataset:
regional
continents:
Europe
spatial extent (bounding coordinates):
southernmost latitude [°]:
50°9'
northernmost latitude [°]:
50°45'
westernmost longitude [°]:
4°49'
easternmost longitude [°]:
5°41'
        
minimum altitude:
49
 
metres
maximum altitude:
100
 
metres
countries:
Europe: Belgium
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):
Western Plains (ER13)
ecosystem type:
rivers
covered timeframe:
year from
1998
 
year to:
2011

Site specifications

coordinate system/grid data:
latitude/longitude
projected
datum (e.g. WGS84):
WGS84
grid data available:
no
site coding available:
no
 
number of sites:
<100
exact number of sites:
3

Biological data

biological data origin:
from sampling
specify project:
European survey program
specify method:
organism group addressed:
macro-invertebrates (Mollusca, Crayfish, Ephemeroptera, Odonata, Plecoptera, Coleoptera, Trichoptera, Chironomidae)

Sample resolution

macro-invertebrates

taxonomic resolution:
family
taxonomic coding:
taxalist according to:
AQEM/Star
reference(s):
Schmidt-Kloiber, A., Graf, W., Lorenz, A. & Moog, O. (2006): The AQEM/STAR taxalist - a pan-European macro-invertebrate ecological database and taxa inventory. Hydrobiologia 566: 325-342.
coding system:
no coding used
sample specifications:
specification of method(s) used for sampling and sorting:
Between 1998 and 2011 in 3 reaches of the River Meuse (Hastière, Andenne, Lixhe) a protocol adapted for deep rivers and derived from the IBGA (1997) was used. At these sites, during each sampling campaign, stones near the banks, aquatic vegetation and littoral substrates were sampled with a hand net (500 µm mesh size). The deeper part of the main channel was sampled from a boat using a triangular dredge and three artificial substrates were deployed for one month. Taxa were identified at the family level and abundances were determined with a semi-quantitative estimation ("1" = 1 individual, "2" = 2, "3" = 3, "4" more than 3 and less than 10, "5" = more than 10 and less than 100, "6" > 99).
reference(s):
IBGA: "Global Biological Index Adapted to large freshwater rivers", Gay Environnement & Agence de l’Eau Rhône-Méditerranée-Corse, 1997.

Other specifications

GIS layers, shape files related to the dataset:
no data available
availability of photos:
no
availability of maps:
no
quality control procedures:
Were any quality control procedures applied to your dataset?
yes
quality control protocols and comments:
We performed a number of systematic checks using the OpenRefine software.
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