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Metadatabase view - dataset: Ecopot

General information

dataset entry ID:
SF_4
name of the dataset:
full name of the dataset:
Ecopot
full name of the datast (original/national language):
Ecological potential
dataset short name:
Ecopot
type of dataset (more information):
species distribution data
data type:
point data/observation data
short description of the dataset/summary:
Monitoring data from the Ecopot projects: Determining the maximal and good ecological potential, as well as the current state of Flemish regional water bodies. The data contains phytoplankton counts of Flemish lakes and pools.
keywords according to GCMD:
topic:
Biosphere, Biological Classification, Terrestrial Hydrosphere
ISO topic category according to ISO 19115:
Biota, Environment, Inland Waters
INSPIRE keywords according to GEMET:
Habitats and biotopes, Species distribution
own science keywords:
phytoplankton, pool, lake, Flanders
related project:
VMM.AMO.KRW.BLOKK
funding:
INBO, VMM

Technical and administrative specifications

data format:
csv
operating system:
all operating systems
English
current access level:
web (public)
currently available through GBIF:
yes
exchange planned:
yes
data in data repository:
no
Do you plan to publish the data on the Freshwater Biodiversity Data Portal:
yes
update level:
completed
type:
internal description
contact details:
metadata contact person:
first, last name:
Jeroen
 
Van Wichelen
phone:
+32 02 525 02 77
email:
jeroen.vanwichelen@inbo.be
institution:
Instituut natuur- en bosonderzoek (INBO)
address:
Kliniekstraat 25
postal code, city:
1070
 
Anderlecht
country
Belgium
https://www.inbo.be/en
technical contact person:
Jeroen
 
Van Wichelen
+32 02 525 02 77
jeroen.vanwichelen@inbo.be
scientific contact person:
first, last name:
Jeroen
 
Van Wichelen
phone:
+32 02 525 02 77
email:
jeroen.vanwichelen@inbo.be

Intellectual property rights and citation

dataset creator (data compiler):
contact name:
Wim Vyverman
contact email:
wim.vyverman@ugent.be
contact institution:
Ghent University
data contributors to/owners of this dataset:
multiple
number:
3
data contributor/owner 1
contact name:
Wim Vyverman
contact email:
wim.vyverman@ugent.be
contact institute:
Ghent University
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:
Luc Denys
contact email:
luc.denys@inbo.be
contact institute:
Instituut natuur- en bosonderzoek
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 3
contact name:
Jeroen Vanwichelen
contact email:
jeroen.vanwichelen@inbo.be
contact institute:
Ghent University
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.

citation of this dataset:
author(s):
Louette, G., Van Wichelen, J., Packet, J., Warmoes, T., Vyverman, W., Denys, L., Van Damme, S., Van Colen, W., Schoelynck, J., Muylaert, K., Meire, P., De Smedt, S., Lock, K., Simoens, I., Van Looy, K., Leyssen, A., Pals, A. & van Dam, H.
title and journal (name, number, pages):
Bepalen van het maximaal en het goed ecologisch potentieel, alsook de huidige toestand voor de zeventien Vlaamse (gewestelijke) waterlischamen die verglijkbaar zijn met de categorie meren
year:
2008
doi (if applicable):
https://doi.org/10.15468/3pxfgi
citation of the metadata:
author(s):
Sweetlove M., Van Wichelen J., Verleyen E. & Vyverman W.
title and journal (name, number, pages):
Ecological potential datasets (Ecopot). Freshwater Metadata Journal 38: 1-4
year:
2018
doi (if applicable):
https://doi.org/10.15504/fmj.2018.38
comments:
There are two datasets published:
https://doi.org/10.15468/3pxfgi
https://doi.org/10.15468/jz1cdj

General data specifications

regional coverage of the dataset:
spatial extent of the dataset:
regional
continents:
Europe
countries:
Europe: Belgium
world climatic regions according to Köppen:
Group C: temperate/mesothermal climates
European ecoregions according to Illies (WFD):
Western Plains (ER13)
ecosystem type:
lakes/ponds
covered timeframe:
year from
2006
 
year to:
2008

Site specifications

coordinate system/grid data:
latitude/longitude, format: DD
grid data available:
no
site coding available:
no
 
number of sites:
<100

Biological data

biological data origin:
from sampling
specify project:
Ecopot projects: VMM.AMOKRW.GROVMECH; VMM.AMO.KRW.SCHULENS; VMM.AMO.KRW.VINNE; VMM.AMO.KRW.BLOKK; VMM.AMO.KRW.HAZ; VMM.AMO.KRW.ECOPOT-Meren; VMM.AMO.KRW.GAV
specify method:
organism group addressed:
phytoplankton

Sample resolution

phytoplankton

taxonomic resolution:
genus
taxonomic coding:
taxalist according to:
no reference taxalist used
coding system:
no coding
sample specifications:
specification of method(s) used for sampling and sorting:
Water bodies were monthly sampled during the growing season of a one-year period. Each time, an integrated sample was made based on 16 locations in each water body, where 1l water was taken from the surface (upper 30cm) and filtered over 240┬Ám. If colonial or large algae were present, then one sub sample was not filtered. Phytoplankton in 250ml sub samples were fixed using formaldehyde, with a final concentration of 4%, and samples were kept dark and cool until analysis. Microscopic analysis was executed according to the European CEN-standard (EN 15204, 2006). According to this method, a known volume of the sample was concentrated in a cuvet, after which different phytoplankton taxa were identified along a transect using an inverted microscope (Wild M40). When too much detritus was present, samples were coloured using Bengal red, to enable recognizing cells. For each sample, at least 250 individuals were counted, which was used to calculate the number of individuals per ml. Colonies were counted as one individual.
reference(s):
Van Wichelen, J., Denys, L., Lionard, M., Dasseville, R. & Vyverman, W., 2005. Ontwikkelen van scores of indices voor het biologisch kwaliteitselement fytoplankton voor de Vlaamse rivieren, meren en overgangswateren overeenkomstig de Europese Kaderrichtlijn Water. Vakgroep biologie, Universiteit Gent.

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?
no
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