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Metadatabase view - dataset: Abiotic and biotic data of the rivers Pinka and Lafnitz 2012 - 2014

General information

dataset entry ID:
FWM_8
name of the dataset:
full name of the dataset:
Abiotic and biotic data of the rivers Pinka and Lafnitz 2012 - 2014
dataset short name:
BIO_CLIC
type of dataset (more information):
species (taxonomic group) per site database including environmental information
data type:
point data/observation data, descriptive data
short description of the dataset/summary:
During the project BIO_CLIC abiotic and biotic data of the rivers Pinka and Lafnitz were collected from the year 2012 until 2014, in order to analyse the present state of river morphology, riparian vegetation, riparian microclimate, fish species and benthic invertebrate abundance and diversity. This data was produced to be able to predict the near stream microclimate and stream water temperature until the end of the century, estimate the stress on aquatic organisms and the ability of vegetation to mitigate this stress.

Initially only stream water observations, predictions of the river Pinka and corresponding input data for extreme heat wave events used in Trimmel et al. (2016a) are available for download. Other parts of the data set may be included later after they have been published.
science keywords according to GCMD:
topic:
Atmosphere, Biosphere, Biological Classification, Climate Indicators
ISO topic category according to ISO 19115:
Biota, Climatology/Meteorology/Atmosphere, Environment, Inland Waters

Technical and administrative specifications

data format:
others/specify
others/details:
different data formats: csv, txt, Access, Excel
operating system:
all operating systems
others/details:
some data is only available for Windows
English
current access level:
web (public)
http://data.freshwaterbiodiversity.eu/data/FWM_8-Pinka_Lafnitz/
others/details:
data are deposited in the repository of the Freshwater Biodiversity Data Portal
currently available through GBIF:
no
exchange planned:
no
data in data repository:
yes
specify repository:
Initially only stream water observations, predictions of the river Pinka and corresponding input data for extreme heat wave events used in Trimmel et al. (2016a) are available for download. Other parts of the data set may be included after they have been published.
Do you plan to publish the data on the Freshwater Biodiversity Data Portal:
already published through BioFresh
media for data delivery:
online internet (HTTP)
http://data.freshwaterbiodiversity.eu/data/FWM_8-Pinka_Lafnitz/
update level:
completed, others/specify
others/details:
some data are not analyzed yet
type:
scientific paper, others/specify
language:
English
specify:
final report
others/details:
http://bioclic.boku.ac.at
contact details:
metadata contact person:

first, last name:
Trimmel
 
Heidelinde
phone:
+43 1 47654 81425
email:
heidelinde.trimmel@boku.ac.at
institution:
Institute of Meteorology, University of Natural Resources and Life Sciences
address:
Gregor-Mendel-Strasse 33
postal code, city:
1180
 
Vienna
Vienna
country
Austria
https://www.wau.boku.ac.at/en/met/
technical contact person:

Martin
 
Seebacher
+43 1 47654 81220
martin.seebacher@boku.ac.at
institution:
Institute of Hydrobiology and Aquatic Ecosystem Management
address:
Gregor-Mendel-Strasse 33
postal code, city:
1180 Vienna
country:
Austria
web address:
http://www.wau.boku.ac.at/en/ihg/
scientific contact person:

first, last name:
Andreas
 
Melcher
phone:
+43 1 47654 81223
email:
andreas.melcher@boku.ac.at
comments:
other related websites:
http://bioclic.boku.ac.at/
http://www.wau.boku.ac.at/met/forschungsthemen/atmosphaerische-strahlung/forschungsbereich-strahlung-energiebilanz-und-bodengebundene-fernerkundung/forschungsschwerpunkte/strahlungstransport-und-energiebilanz-in-gewaessern

Intellectual property rights and citation

Heidelinde Trimmel
dataset creator (data compiler):
contact name:
Heidelinde Trimmel
contact email:
heidelinde.trimmel@boku.ac.at
contact institution:
Institute of Meteorology, University of Natural Resources and Life Sciences
data contributors to/owners of this dataset:
multiple
number:
6
data contributor/owner 1
contact name:
Gerda Kalny
contact email:
gerda.kalny@boku.ac.at
contact institute:
Institute of Soil Bioengineering and Landscape Construction, Univ. of Nat. Res.
criteria for using this part of the dataset:
The dataset needs to be requested from dataset creator with specific conditions of use.

comments:
river morphology, field study riparian vegetation, field study
data contributor/owner 2
contact name:
Philipp Weihs
contact email:
philipp.weihs@boku.ac.at
contact institute:
Institute of Meteorology, University of Natural Resources and Life Sciences
criteria for using this part of the dataset:
The dataset needs to be requested from dataset creator with specific conditions of use.

comments:
stream water temperature, measurements near stream microclimate, measurements
data contributor/owner 3
contact name:
Heidelinde Trimmel
contact email:
heidelinde.trimmel@boku.ac.at
contact institute:
Institute of Meteorology, University of Natural Resources and Life Sciences
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.

comments:
stream water temperature, numerical predictions
data contributor/owner 4
contact name:
Andreas Melcher
contact email:
andreas.melcher@boku.ac.at
contact institute:
Institute of Hydrobiology and Aquatic Ecosystem Management, Univ. of Nat. Res.
criteria for using this part of the dataset:
The dataset needs to be requested from dataset creator with specific conditions of use.

comments:
fish species and assemblages, sampling
data contributor/owner 5
contact name:
Florian Dossi
contact email:
florian.dossi@boku.ac.at
contact institute:
Institute of Hydrobiology and Aquatic Ecosystem Management, Univ. of Nat. Res.
criteria for using this part of the dataset:
The dataset needs to be requested from dataset creator with specific conditions of use.

comments:
benthic invertebrate abundance and diversity, sampling
data contributor/owner 6
contact name:
Herbert Formayer
contact email:
herbert.formayer@boku.ac.at
contact institute:
Institute of Meteorology, University of Natural Ressources and Life Sciences
criteria for using this part of the dataset:
The dataset needs to be requested from dataset creator with specific conditions of use.

comments:
near stream microclimate, numerical predictions
citation of this dataset:
author(s):
Kalny, G., Dossi, F., Formayer, H., Graf, W., Rauch, H.P, Trimmel, H., Weihs, P., Melcher, A.
title:
Abiotic and biotic data of the rivers Pinka and Lafnitz 2012 - 2014
year:
2016
doi (if applicable):
https://doi.org/10.13148/BFFWM8
citation of the metadata:
author(s):
Trimmel H., Kalny G., Dossi F., Formayer H., Graf W., Leitner P., Leidinger D., Nadeem I., Rauch H. P. , Weihs P. & Melcher A.
title and journal (name, number, pages):
Abiotic and biotic data of the rivers Pinka and Lafnitz 2012 - 2014. Freshwater Metadata Journal 22: 1-12
year:
2017
doi (if applicable):
https://doi.org/10.15504/fmj.2017.22

reference 1:
author(s):
Trimmel, H., Gangneux, C., Kalny, G., Weihs, P.
title:
Application of the model "Heat Source" to assess the influence of meteorological components on stream temperature and simulation accuracy under heat wave conditions. Meteorologische Zeitschrift, 25/4, 389-406
year:
2016b
doi:
https://doi.org/10.1127/metz/2016/0695
reference 2:
author(s):
Melcher, A., Kalny, G., Dossi, F., Formayer, H., Graf, W., Pletterbauer. F., Schaufler, K., Trimmel, H., Weihs, P., Rauch, H.P.
title:
Der Einfluss der Ufervegetation auf die Wassertemperatur unter gewässertypspezifischer Berücksichtigung von Fischen und benthischen Evertebraten am Beispiel von Lafnitz und Pinka. Journal Österreichische Wasser- und Abfallwirtschaft, 68(7), 308-323
year:
2016
doi:
https://doi.org/10.1007/s00506-016-0321-8
reference 3:
author(s):
Trimmel, H., Weihs, P., Leidinger, D., Formayer, H., Kalny, G.
title:
Can riparian vegetation shade mitigate the expected rise in stream temperature during heat waves in a pre-alpine river? Hydrology and Earth System Sciences, Discussion
year:
2016a
doi:
https://doi.org/10.5194/hess-2016-230
reference 4:
author(s):
Holzapfel, G., Rauch, H.P.
title:
Der Einfluss der Ufervegetation auf die Wassertemperatur der Lafnitz und Pinka. Mitteilungsblatt für die Mitglieder des Vereins für Ingenieurbiologie, Ingenieurbiologie: Neue Entwicklungen an Fließgewässern, Hängen und Böschungen, 1/2015, 4-10
year:
2015

General data specifications

regional coverage of the dataset:
scale of the dataset:
catchment
continents:
Europe
southernmost latitude [°]:
46.9766
northernmost latitude [°]:
47.5153
westernmost longitude [°]:
15.8115
easternmost longitude [°]:
16.4939
        
minimum altitude:
240
 
metres
maximum altitude:
1480
 
metres
Europe: Austria
Group D: continental/microthermal climate
 
Europe:
Upper Danube
Alps (ER4), Hungarian Lowlands (ER11)
ecosystem type:
rivers
2012
 
year to:
2014

Site specifications

coordinate system/grid data:
projected, others others: MGI_Austria_GK_M34, Transverse Mercator
datum (e.g. WGS84):
Bessel_1841
site coding available:
yes
alphanumerical
number of digits:
12
example:
L_ROHR_26,08
number of sites:
<100
64
comments:
There are two different site codings used:
(1) The water temperature simulation dataset uses the side coding distance from mouth (km 89-38, each 500m). Here only the river Pinka is included. (2) In the additional datasets of each research group the data is sorted according to an alphanumerical code denoting the river distance from source of the field survey sample points.

Climate and environmental data

climate related data:
available per:
per catchment
spatial resolution of the data (if not catchment/site related):
others/specify
others:
at reference station
available parameters:
hourly air humidity, air temperature, wind, global radiation
data source:
own measurements / regional climate scenarios
comments:
The following data are included in the downloadable data set: (1) hourly air humidity, air temperature, wind, global radiation was recorded at our reference station at an unobstructed site at Pinka DFS 39 (Trimmel et al. 2016a+b); (2) INCA data (Haiden et al. 2011) were compared and adjusted to fit the local site; (3) for future scenarios data was extracted from regional climate scenarios (Radu et al. 2008). The full methodology is described in Trimmel et al. 2016a.
Additional continuous and campaign meteorological measurements were made to characterize the near stream microclimate and energy balance at the river surface, which are not included in the downloadable data (air temperature/air humidity/global radiation/PAR within the riparian vegetation buffer, radiation balance at the river).

Haiden, T., Kann, A., Wittmann, C., Pistotnik, G., Bica, B., and Gruber, C., 2011. The Integrated Nowcasting through Comprehensive Analysis (INCA) System and Its Validation over the Eastern Alpine Region, Weather Forecast., 26, 166-183, doi:10.1175/2010WAF2222451.1
Radu, R., Déqué, M., Somot, S., 2008. Spectral nudging in a spectral regional climate model, Tellus A Dynamic Meteorology and Oceanography, 60 Issue: 5 Pages: 898-910.
environmental data:
available parameters per catchment:
catchment land cover/land use
data source:
own measurements/field study
available parameters per catchment:
river morphology, riparian vegetation, water temperature measurements
data source:
own measurements/field study/simulations
available parameters per site:
river length
data source:
field study/ part of simulation input
available parameters per site:
distance to source
data source:
field study
available parameters per site:
distance to mouth
data source:
field study/ part of simulation input
available parameters per site:
stream order (according to Strahler)
data source:
field study
available parameters per site:
slope
data source:
part of simulation input, calculated with TTools
available parameters per site:
altitude
data source:
part of simulation input, calculated with TTools
available parameters per site:
hydrological regime/flow regime
data source:
own measurements/field study
available parameters per site:
discharge
data source:
part of simulation results
available parameters per site:
current velocity
data source:
part of simulation results
available parameters per site:
maximum depth
data source:
part of simulation results
available parameters per site:
mean depth
data source:
part of simulation results
available parameters per site:
substrate composition
data source:
part of simulation results
physico-chemistry data:
water temperature
comments:
Water temperature was sampled hourly at each site including measurements at tributaries. Vertical and horizontal sections were measured.
Future water temperature was modeled using the deterministic model Heat Source version 9 (Boyd and Kasper 2003, Trimmel et al. 2016a).
reference sites available:
yes
available stressor types:
stressorrestored sites availabledata before/after restoration availablestressor gradient availablecomments
thermal stress
yes
no
yes
 

Biological data

biological data origin:
from sampling; specify project:
BIO_CLIC, Austria
organism group addressed:
fish, macro-invertebrates (Mollusca, Ephemeroptera, Odonata, Plecoptera, Coleoptera, Trichoptera, Chironomidae), angiosperms (riparian vegetation), invasive species

Sample specifications/sample resolution

fish

sample information:
covered timeframe:

year from - to:
1991 - 2013
historical data:
yes
palaeo data:
no
season:
spring, summer, autumn
temporal resolution/frequency of sampling:
once pro site
time series data:
no
comments:
Historical data (not sampled during the project BIO_CLIC) received from BAW Scharfling for the time period: 1991 - 2012.
taxonomic resolution:

percentage of species level data:
100
taxonomic coding:
taxalist according to:
BMFLUW 2010
BMLFUW, Federal Ministry of Agriculture, Forestry, Environment and Water Management (Publisher). 2010: Leitfaden zur Erhebung der biologischen Qualitätselemente Teil A1 - Fische. Vienna
sample specifications:
yes
626
Allover, several transects at a total of 17 stretches (626 sampling points in the Lafnitz and 271 in the Pinka) were recorded to characterize the abiotic meso habitats. Beside the abiotic characterization of the habitats, point-abundance electric fish samplings (n = 35) were performed to record the occurring fish species and their life stages in 2012 and October 2013. To describe and analyze temporal trends of fish communities datasets were assembled from different sources (IHG DB) and ATFIBASE database (BAW Scharfling). Additionally, fish data from the river Lafnitz was provided by Gerhard Woschitz and Georg Wolfram. Altogether, 52 fish sampling events from external sources were included in the dataset for this study, covering the period from 1991 to 2013 (Guldenschuh 2014).
Guldenschuh M., 2014. Longitudinal zonation of habitat parameters and fish species assemblages in the Austrian lowland rivers Lafnitz and Pinka. Masterthesis at the University of Natural Resources and Life Sciences, Vienna.
Habitat sampling 2012 and 2013, additional historic quantitative and qualitative data from 1991 on.
All river, from upstream down to the Hungarian border.

macro-invertebrates

sample information:
covered timeframe:

year from - to:
2012 - 2014
historical data:
no
palaeo data:
no
season:
spring, summer, autumn
temporal resolution/frequency of sampling:
4 times in three years
time series data:
no
comments:
Samples were taken in: May 2012; August 2012; October 2012; March 2014.
taxonomic resolution:

percentage of species level data:
70
comments:
Identification was mainly based on the Screening-Taxa List according to Ofenböck et al. (2010). However, in many cases Ephemeroptera, Plecoptera and Trichoptera taxa could be identified to a lower level, whereas Diptera taxa were mainly identified to family level. The taxonomic composition of each site was quantified using the Regional Zonation Index (RZI) calculated by the software Ecoprof 4.0 (Moog et al., 2013).
taxonomic coding:
taxalist according to:
Ofenböck et al. (2010)
Ofenböck, T., Moog, O., Hartmann, A., & Stubauer, I., 2010. Leitfaden zur Erhebung der biologischen Qualitätselemente Teil A2-Makrozoobenthos. Bun- desministerium für Land- und Forstwirtschaft, Umwelt- und Wasserwirtschaft, S. 1-103.
sample specifications:
no
406
- In May and August 2012 lithal substrates were sampled according to the Multi-Habitat-Sampling approach (AQEM-Consortium, 2002) (19 samples Lafnitz and 16 samples Pinka). Twenty pooled samples were taken at each investigation site, whereby each sample represents a 5% share of available habitats in the river section. - In October 2012 and March 2014, single-habitat-samples per transects were taken (290 samples Lafnitz). At least 20 sampling units were taken at each site. Choriotope type as well as flow velocity (bottom; near and at 40% of water depth) was documented for each sample. - Habitat structures directly linked to the riparian vegetation such as large wood (LW) were sampled separately at alles dates if present (58 LW samples Lafnitz and 6 LW samples Pinka). Length, width and volume of each large wood piece were measured to calculate macro-invertebrate densities (Ind/m²) and biomass per square meter. - In addition, adults were collected with light traps and sweeping net to support the identification of Ephemeroptera, Plecoptera and Trichoptera species (11 sampling dates Lafnitz and 6 sampling dates Pinka). - The screening taxa list according to Ofenböck et al. (2010) was used as reference species list.
- AQEM consortium, 2002. Manual for the application of the AQEM system. A comprehensive method to assess European streams using benthic macroinvertebrates, developed for the purpose of the Water Framework Directive. Version 1.0, February 2002. - Moog, O., Hartmann, A., Schmidt-Kloiber, A., Vogl, R., & Koller-Kreimel, V., 2013. ECOPROF Vers. 4.0, www.ecoprof.at. - Ofenböck, T., Moog, O., Hartmann, A., & Stubauer, I., 2010. Leitfaden zur Erhebung der biologischen Qualitätselemente Teil A2-Makrozoobenthos. Bun- desministerium für Land- und Forstwirtschaft, Umwelt- und Wasserwirtschaft, S. 1-103.
- MHS sampling according to AQEM (2002) in May and August of 2012 - Single habitat sampling in October 2012 and March 2014 - Large wood sampling: May 2012; August 2012; October 2012; March 2014

angiosperms

sample information:
covered timeframe:

year from - to:
2013 - 2013
historical data:
no
season:
summer
time series data:
no
comments:
Area-wide from source to the Austrian border in a 50m buffer of the river banks.
taxonomic resolution:

percentage of species level data:
75
comments:
Available in an additional data set.
taxonomic coding:
taxalist according to:
Cejka et al. (2005)
Cejka, A., Dvorak., M., Fortmann, I., Knogler, E., Korner, I., Schlögl, G., Wendelin, B., Wolfram, G., Zechmeister T.C., Das Lafnitztal: Flusslandschaft im Herzen Europas, Federal Environment Agency - Austria, Vienna, 2005.
sample specifications:
no
1
Definition of areas of same vegetation composition by aerial photographs. Overall height, density and dominating species were recorded in field. Reference species lists were used from Cejka et al. (2005)
Cejka, A., Dvorak., M., Fortmann, I., Knogler, E., Korner, I., Schlögl, G., Wendelin, B., Wolfram, G., Zechmeister T.C., Das Lafnitztal: Flusslandschaft im Herzen Europas, Federal Environment Agency - Austria, Vienna, 2005.
Riparian vegetation in a 50 m buffer orographically left and right of the river bank from source to the Austrian border.

invasive species

sample information:
covered timeframe:

year from - to:
2013 - 2013
historical data:
no
season:
summer
time series data:
no
taxonomic resolution:
taxonomic coding:
sample specifications:
comments:

Invasive species are included in the angiosperm data set; rough estimation.

Other specifications

GIS layers, shapes related to the dataset:
others/specify
others (specify):
measurement points and sampling habitats
yes
yes
quality control procedures:
Were any quality control procedures applied to your dataset?
yes
data mining analyses
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