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Abstract

This report gives an overview of biological and other environmental monitoring data from Lake Vansjø in the Morsa river basin district, South-East Norway. The lake is impacted by eutrophication and has been subject to several nutrient abatement measures. The dataset comprises phytoplankon data at species level from 2005-2015, and water chemistry data from the period 1980-2015. The dataset is available online from NIVA's web portal AquaMonitor and will be updated regularly with new monitoring data.
Phytoplankton and other monitoring data
from Lake Vansjø
Sigrid Haande, S. Jannicke Moe & Raoul-Marie Couture
Freshwater Metadata Journal
DOI 10.15504/fmj.2016.15
ISSN 2312-6604
Published online: 2016-04-21
Published by University of Natural Resources and
Life Sciences, Institute of Hydrobiology and
Aquatic Ecosystem Management, BOKU - Vienna
Freshwater Metadata Journal 15: 1-8 DOI 10.15504/fmj.2016.15
http://freshwaterjournal.eu ISSN 2312-6604
Phytoplankton and other monitoring data from Lake Vansjø
Sigrid Haande 1, S. Jannicke Moe 1 & Raoul-Marie Couture 1
1Norwegian Institute for Water Research, Oslo, Norway; corresponding author: sha@niva.no
Please cite this paper as follows: Haande S., Moe S. J. & Couture R. M., 2016. Phytoplankton and other
monitoring data from Lake Vansjø. Freshwater Metadata Journal 15: 1-8.
http://dx.doi.org/10.15504/fmj.2016.15
Received: 2016-03-17 / Published: 2016-04-21
Keywords
eutrophication, lake, phytoplankton
Short description of the dataset/summary
This paper gives an overview of biological and other environmental monitoring data from Lake Vansjø in the Morsa river
basin district, South-East Norway. The lake is impacted by eutrophication and has been subject to several nutrient
abatement measures. The dataset comprises phytoplankon data at species level from 2005-2015, and water chemistry data
from the period 1980-2015.
The dataset is available online from NIVA's web portal AquaMonitor and will be updated regularly with new monitoring
data.
General information
dataset entry ID: MARS_06
name of the dataset:
full name of the dataset: Phytoplankton and other monitoring data from Lake Vansjø
dataset short name: Vansjø
type of dataset: species (taxonomic group) per site database including environmental
information
data type: point data/observation data
science keywords according to GCMD:
topic: Agriculture, Biosphere, Biological Classification, Terrestrial Hydrosphere
keywords: eutrophication, lake, phytoplankton
ISO topic category according to ISO 19115:
Farming, Biota, Environment, Geoscientific Information, Inland Waters
Freshwater Metadata Journal 15: 1-8 1
Haande, Moe & Couture
Technical and administrative specifications
data format: Oracle
others/details: Data are stored in Oracle, can be downloaded to Access and Excel via web
interface (in Norwegian)
operating system: all Windows systems
data language: English
current access level: web (public)
web address (URL): www.aquamonitor.no/ostfold
others/details: in Norwegian only
currently available through GBIF:no
exchange planned: no
data in data repository: no
comments: More data from Lake Vansjø and River Hobøl are available online by the
Norwegian Environment Agency (http://vannmiljo.miljodirektoratet.no/).
However the website is in Norwegian only and finding the right data may
require some knowledge.
update level: update planned
others/details: Dataset is updated yearly.
documentation:
type: internal description
language: others/specify
specify: Norwegian
others/details: Aggregated data are published in reports by NIBIO (Skarbøvik et al. 2016).
Do you plan to publish the data on the Freshwater Biodiversity Data Portal:
no
contact details:
metadata contact person:
first, last name: Sigrid Haande
email: sha@niva.no
institution: NIVA
address: Gaustadalleen 21
postal code, city: 0349 Oslo
country Norway
web address: www.niva.no
technical contact person:
first, last name: Jannicke Moe
email: jmo@niva.no
scientific contact person:
first, last name: Raoul Couture
email: rmc@niva.no
Intellectual property rights and citation
dataset publisher: NIVA
dataset creator (data compiler):
contact name: Sigrid Haande
contact email: sha@niva.no
contact institution: NIVA
2 Freshwater Metadata Journal 15: 1-8
Phytoplankton and other monitoring data from Lake Vansjø
data contributors to/owners of this dataset:
single
criteria for using this 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.
other/additional criteria: The data can be downloaded and used, but the contact persons will appreciate an
invitation to collaboration on use of the data.
citation of this dataset:
author(s): NIVA
title: Data from Lake Vansjø. Accessed at www.aquamonitor.no/ostfold
year: 2015
citation of the metadata:
author(s): Haande S., Moe S. J. & Couture R. M.
title and journal (name, number, pages):
Phytoplankton and other monitoring data from Lake Vansjø. Freshwater
Metadata Journal 15: 1-8
year: 2016
doi: http://dx.doi.org/10.15504/fmj.2016.15
dataset related references:
reference 1:
author(s): Skarbøvik, E., Haande, S., Bechmann, M. & Skjelbred, B.
title: Overvåking Vansjø/Morsa 2014-2015. Resultater fra overvåking av innsjøer,
elver og bekker i perioden 1. november 2014 - 31. oktober 2015. NIBIO rapport
2; 42 2016. 98 pp. ISBN: 978-82-17-01608-3.
http://hdl.handle.net/11250/2385272
year: 2016
reference 2:
author(s): Couture, R.M., Tominaga, K., Starrfelt, J., Moe, S.J., Kaste, O. & Wright, R.F.
title: Modelling phosphorus loading and algal blooms in a Nordic agricultural
catchment-lake system under changing land-use and climate. Environmental
science. Processes & impacts 16, 1588-1599.
year: 2014
doi: http://dx.doi.org/10.1039/c3em00630a
reference 3:
author(s): Haande, S., Solheim, A., Moe, J., Brænden, R.
title: Klassifisering av økologisk tilstand i elver og
innsjøer i Vannområde Morsa iht. Vanndirektivet. (Classification of ecologial
status in rivers and lakes in river basin Morsa according to the Water Framework
Directive). NIVA report no. 6166-2011. http://hdl.handle.net/11250/215455
year: 2011
reference 4:
author(s): Moe, S. Jannicke, S. Haande & Couture, R.M.
title: Climate change, cyanobacteria blooms and ecological status of lakes: a Bayesian
network approach. Ecological Modelling (accepted).
year: 2016
Freshwater Metadata Journal 15: 1-8 3
Haande, Moe & Couture
General data specifications
regional coverage of the dataset:
scale of the dataset: catchment
spatial extent (bounding coordinates):
southernmost latitude [°]: 59.344259
northernmost latitude [°]: 59.858634
westernmost longitude [°]: 10.660904
easternmost longitude [°]: 11.130339
minimum altitude: 59 metres
maximum altitude: 136 metres
countries: Europe: Norway
world climatic regions according to Köppen:
Group C: temperate/mesothermal climates
freshwater ecoregions of the world (FEOW) according to WWF:
Europe: Northern Baltic Drainages
European ecoregions according to Illies (WFD):
Fenno-Scandian Shield (ER22)
ecosystem type: lakes/ponds
covered timeframe: 1980 - 2015
comments: Data from rivers (River Hobøl) are not included in this dataset, but can be made
available upon request.
Site specifications
coordinate system/grid data: latitude/longitude, format: DMS
datum (e.g. WGS84): WGS84
grid data available: no
site coding:
site coding available: yes, alphanumerical
number of digits: 4
example: VAN1
number of sites: <100
exact number of sites: 2
comments: 2 lake sites: Basin Storefjorden (VAN1) and Basin Vanemfjorden (VAN2).
In addition, several river sites are monitored (data can be made available upon
request).
Climate and environmental data
climate related data:
others: Data can be downloaded from eklima.met.no, station Rygge (station 17150)
available parameters per site:
mean annual temperature January, July
data source: www.met.no
mean annual temperature for each month
data source: www.met.no
minimal, maximal and mean winter and summer temperatures
data source: www.met.no
daily air temperatures
4 Freshwater Metadata Journal 15: 1-8
Phytoplankton and other monitoring data from Lake Vansjø
data source: www.met.no
mean annual precipitation
data source: www.met.no
winter and summer precipitation
data source: www.met.no
mean discharge
data source: www.nve.no
environmental data:
available parameters per catchment:
catchment size
catchment geology
catchment land cover/land use
population density
presence of barriers/dams/reservoirs (fragmentation)
hydrological regime/flow regime
available parameters per site: catchment land use upstream of sampling site
catchment land use along a buffer strip (100m width on both sides) upstream
(10km) of the sampling site
river length
altitude
hydrological regime/flow regime
discharge
maximum depth
mean depth
comments: Most environmental data are available from this source:
Skarbøvik, E. & Bechmann, M. 2010. Some characteristics of the Vansjø-Hobøl
(Morsa) Catchment. Bioforsk report. 5 128. 44 pp. ISBN: 978-82-17-00689-3.
http://www.bioforsk.no/ikbViewer/Content/100558/Bioforsk_Report_128_2
010_Morsa_Catchment.pdf
More information (in Norwegian): Skarbøvik, E., Haande, S., Bechmann, M. &
Skjelbred, B. 2016. Overvåking Vansjø/Morsa 2014-2015. Resultater fra
overvåking av innsjøer, elver og bekker i perioden 1. november 2014 - 31.
oktober 2015. NIBIO rapport 2; 42 2016. 98 pp. ISBN: 978-82-17-01608-3.
http://hdl.handle.net/11250/2385272
physico-chemistry data: total P, ortho P, total dissolved P, nitrate, total N, ammonium, sulphate, labile
aluminium, calcium, alkalinity, TOC (total organic carbon), oxygen content,
water temperature, pH, chlorophyll, colour, Secci disc depth, thermocline depth,
suspended solids
other physico-chemical parameters:
Water temperature, SiO2.
availability of physico-chemical data, if there is more than one sample per site:
per sample
stressors influencing the sites:
reference sites available: no
Freshwater Metadata Journal 15: 1-8 5
Haande, Moe & Couture
stressor restored sites
available
data before/after
restoration
available
stressor gradient
available
comments
eutrophication yes yes yes
hydromorphological
degradation
no no no
organic pollution
toxic stress no no no
general degradation no no no
thermal stress no no no
Biological data
biological data origin: from sampling
specify project: Surveillance monitoring by NIVA
organism group addressed: phytoplankton
comments: Data on macrophytes and fish are available only for a few years and have not
been yet included in the dataset, but can be made available.
Sample specifications/sample resolution
phytoplankton:
sample information:
covered timeframe: 2005 - 2015
historical data: yes
season: spring, summer, autumn
temporal resolution/frequency of sampling:
bi-weekly
time series data: yes
taxonomic resolution:
level: species
percentage of species level data: 100
comments: Phytoplankton data grouped by class are available online on
www.aquamonitor.no/ostfold. Original data on species level can be obtained
upon request.
Data on total phytoplankton biomass and selected groups are available from
earlier years, but not online.
taxonomic coding:
reference(s): The database uses the taxonomic code RUBIN, which is not international.
All taxonomic information can be obtained upon request.
coding system: RUBIN code
example: APHA FLO
sample specifications:
type: quantitative (abundance data)
replicate samples: no
number of samples: 200
specification of method(s) used for sampling and sorting:
Sampling: Norwegian Standard (NS-9459)
6 Freshwater Metadata Journal 15: 1-8
Phytoplankton and other monitoring data from Lake Vansjø
Analyse: Norwegian Standard (NS-EN 15204)
reference(s): NS-9459:2004: Water quality - Guidance on sampling of phytoplankton from
lakes and reservoirs
NS-EN 15204:2006: Water quality - Guidance standard on the enumeration of
phytoplankton using inverted microscopy (Utermöhl technique)
sample type (e.g. habitat specific samples, composite samples etc.):
Integrated sample from the profundal, representing the euphotic zone of the
lake.
specific sample location (e.g. littoral, profundal, transect, shoreline, hyporheic zone, etc.):
Profundal, integrated sample from 0-4 meters.
Other specifications
GIS layers, shapes related to the dataset:
catchments, river-sub-basins
others (specify): More GIS layers are probably available, but not included in this dataset.
availability of photos: yes
availability of maps: yes
quality control procedures:
Were any quality control procedures applied to your dataset?
yes
quality control protocols and comments:
Sampling and biological and chemical analyses followed standard procedures and
Norwegian Standards.
reference: Direktoratsgruppa (2013). Klassifisering av miljøtilstand i vann. Økologisk og
kjemisk klassifiseringssystem for kystvann, grunnvann, innsjøer og elver. Veileder
02: 2013. Utgitt av Direktoratsgruppa for gjennomføring av Vanndirektivet.
263 pp. (In Norwegian)
Acknowledgements
This work was funded by the MARS project (Managing Aquatic ecosystems and water resources under multiple stress),
funded by the European Union under the 7th Framework Programme, contract no. 603378.
References
Couture, R.M., Tominaga, K., Starrfelt, J., Moe, S.J., Kaste, O. & Wright, R.F., 2014. Modelling phosphorus loading and
algal blooms in a Nordic agricultural catchment-lake system under changing land-use and climate. Environmental science.
Processes & impacts 16, 1588-1599. http://dx.doi.org/10.1039/c3em00630a
Direktoratsgruppa, 2013. Klassifisering av miljøtilstand i vann. Økologisk og kjemisk klassifiseringssystem for kystvann,
grunnvann, innsjøer og elver. Veileder 02: 2013. Utgitt av Direktoratsgruppa for gjennomføring av Vanndirektivet. 263
pp. (In Norwegian)
Haande, S., Solheim, A., Moe, J., Brænden, R. , Lyche Solheim, A., Moe, J. & Brænden, R., 2011. Klassifisering av
økologisk tilstand i elver og innsjøer i Vannområde Morsa iht. Vanndirektivet. (Classification of ecologial status in rivers
and lakes in river basin Morsa according to the Water Framework Directive). NIVA report no. 6166.
http://hdl.handle.net/11250/215455
Moe, S. Jannicke, S. Haande & Couture, R.M., 2016. Climate change, cyanobacteria blooms and ecological status of lakes:
a Bayesian network approach. Ecological Modelling (accepted).
Freshwater Metadata Journal 15: 1-8 7
Haande, Moe & Couture
Norwegian Standard, 2004. NS-9459: Water quality - Guidance on sampling of phytoplankton from lakes and reservoirs
Norwegian Standard, 2006. NS-EN 15204: Water quality - Guidance standard on the enumeration of phytoplankton
using inverted microscopy (Utermöhl technique)
Skarbøvik, E. & Bechmann, M., 2010. Some characteristics of the Vansjø-Hobøl (Morsa) Catchment. Bioforsk report. 5
128. 44 pp. ISBN: 978-82-17-00689-3.
http://www.bioforsk.no/ikbViewer/Content/100558/Bioforsk_Report_128_2010_Morsa_Catchment.pdf
Skarbøvik, E., Haande, S., Beckmann, M. & Skjelbred, B., 2016. Overvåking Vansjø/Morsa 2014-2015. Resultater fra
overvåking av innsjøer, elver og bekker i perioden 1. november 2014 - 31. oktober 2015. NIBIO rapport 2; 42 2016. 98
pp. (In Norwegian). http://hdl.handle.net/11250/2385271
8 Freshwater Metadata Journal 15: 1-8
... Water chemistry and temperature data were provided by the Vansjø-Hobøl monitoring programme, conducted by the Norwegian Institute for Bioeconomy Research (NIBIO) and by the Norwegian Institute for Water Research (NIVA) ( Haande et al., 2016). Suspended sediment (SS) and total phosphorus (TP) in the Hobøl River have been sampled weekly or bi-weekly since 1985 as part of a monitoring programme ( Skarbøvik and Haande, 2012;Skarbøvik et al., 2017). ...
... aquamonitor.no) ( Haande et al., 2016). These are for the summer months April-October, as only these months are relevant for the ecological status classification. ...
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Excess nutrient inputs and climate change are two of multiple stressors affecting many lakes worldwide. Lake Vansjø in southern Norway is one such eutrophic lake impacted by blooms of toxic blue-green algae (cyanobacteria), and classified as moderate ecological status under the EU Water Framework Directive. Future climate change may exacerbate the situation. Here we use a set of chained models (global climate model, hydrological model, catchment phosphorus (P) model, lake model, Bayesian Network) to assess the possible future ecological status of the lake, given the set of climate scenarios and storylines common to the EU project MARS (Managing Aquatic Ecosystems and Water Resources under Multiple Stress). The model simulations indicate that climate change alone will increase precipitation and runoff, and give higher P fluxes to the lake, but cause little increase in phytoplankton biomass or changes in ecological status. For the storylines of future management and land-use, however, the model results indicate that both the phytoplankton biomass and the lake ecological status can be positively or negatively affected. Our results also show the value in predicting a biological indicator of lake ecological status, in this case, cyanobacteria biomass with a BN model. For all scenarios, cyanobacteria contribute to worsening the status assessed by phytoplankton, compared to using chlorophyll-a alone.
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We expanded the existing one‐dimensional MyLake model by incorporating a vertically resolved sediment diagenesis module and developing a reaction network that seamlessly couples the water column and sediment biogeochemistry. The application of the MyLake‐Sediment model to boreal Lake Vansjø illustrates the model's ability to reproduce daily water quality variables and predict sediment‐water column exchange fluxes over a long historical period. In prognostic scenarios, we assessed the importance of sediment processes and the effects of various climatic and anthropogenic drivers on the lake's biogeochemistry and phytoplankton dynamics. First, MyLake‐Sediment was used to simulate the potential impacts of increasing air temperature on algal growth and water quality. Second, the key role of ice cover in controlling water column mixing and biogeochemical cycles was analyzed in a series of scenarios that included a fully ice‐free end‐member. Third, in another end‐member scenario P loading from the watershed to the lake was abruptly halted. The model results suggest that remobilization of legacy P stored in the bottom sediments could sustain the lake's primary productivity on a time scale of several centuries. Finally, while the majority of management practices to reduce excessive algal growth in lakes focus on reducing external P loads, other efforts rely on the addition of reactive materials that sequester P in the sediment. Therefore, we investigated the effectiveness of ferric iron additions in decreasing the dissolved phosphate efflux from the sediment and, consequently, limit phytoplankton growth in Lake Vansjø.
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Eutrophication of lakes and the risk of harmful cyanobacterial blooms due is a major challenge for management of aquatic ecosystems, and climate change is expected to reinforce these problems. Modelling of aquatic ecosystems has been widely used to predict effects of altered land use and climate change on water quality, assessed by chemistry and phytoplankton biomass. However, the European Water Framework Directive requires more advanced biological indicators for the assessment of ecological status of water bodies, such as the amount of cyanobacteria. We applied a Bayesian network (BN) modelling approach to link future scenarios of climate change and land-use management to ecological status, incorporating cyanobacteria biomass as one of the indicators. The case study is Lake Vansjø in Norway, which has a history of eutrophication and cyanobacterial blooms. The objective was (i) to assess the combined effect of changes in land use and climate on the ecological status of a lake and (ii) to assess the suitability of the BN modelling approach for this purpose. The BN was able to model effects of climate change and management on ecological status of a lake, by combining scenarios, process-based model output, monitoring data and the national lake assessment system. The results showed that the benefits of better land-use management were partly counteracted by future warming under these scenarios. Most importantly, the BN demonstrated the importance of including more biological indicators in the modelling of lake status: namely, that inclusion of cyanobacteria biomass can lower the ecological status compared to assessment by phytoplankton biomass alone. Thus, the BN approach can be a useful supplement to process-based models for water resource management.
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A model network comprising climate models, a hydrological model, a catchment-scale model for phosphorus biogeochemistry, and a lake thermodynamics and plankton dynamics model was used to simulate phosphorus loadings, total phosphorus and chlorophyll concentrations in Lake Vansjø, Southern Norway. The model network was automatically calibrated against time series of hydrological, chemical and biological observations in the inflowing river and in the lake itself using a Markov Chain Monte-Carlo (MCMC) algorithm. Climate projections from three global climate models (GCM: HadRM3, ECHAM5r3 and BCM) were used. The GCM model HadRM3 predicted the highest increase in temperature and precipitation and yielded the highest increase in total phosphorus and chlorophyll concentrations in the lake basin over the scenario period of 2031-2060. Despite the significant impact of climate change on these aspects of water quality, it is minimal when compared to the much larger effect of changes in land-use. The results suggest that implementing realistic abatement measures will remain a viable approach to improving water quality in the context of climate change.
Klassifisering av økologisk tilstand i elver og innsjøer i Vannområde Morsa iht. Vanndirektivet. (Classification of ecologial status in rivers and lakes in river basin Morsa according to the Water Framework Directive) NIVA report no
  • S Haande
  • A Solheim
  • J Moe
  • R Braenden
  • Lyche Solheim
  • A Moe
  • J Braenden
Haande, S., Solheim, A., Moe, J., Braenden, R., Lyche Solheim, A., Moe, J. & Braenden, R., 2011. Klassifisering av økologisk tilstand i elver og innsjøer i Vannområde Morsa iht. Vanndirektivet. (Classification of ecologial status in rivers and lakes in river basin Morsa according to the Water Framework Directive). NIVA report no. 6166. http://hdl.handle.net/11250/215455
Klassifisering av miljøtilstand i vann. Økologisk og kjemisk klassifiseringssystem for kystvann, grunnvann, innsjøer og elver. Veileder 02: 2013. Utgitt av Direktoratsgruppa for gjennomføring av Vanndirektivet
  • Direktoratsgruppa
Direktoratsgruppa, 2013. Klassifisering av miljøtilstand i vann. Økologisk og kjemisk klassifiseringssystem for kystvann, grunnvann, innsjøer og elver. Veileder 02: 2013. Utgitt av Direktoratsgruppa for gjennomføring av Vanndirektivet. 263 pp. (In Norwegian)
NS-9459: Water quality -Guidance on sampling of phytoplankton from lakes and reservoirs Norwegian Standard
  • Norwegian Standard
Norwegian Standard, 2004. NS-9459: Water quality -Guidance on sampling of phytoplankton from lakes and reservoirs Norwegian Standard, 2006. NS-EN 15204: Water quality -Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermöhl technique)
Overvåking Vansjø Resultater fra overvåking av innsjøer, elver og bekker i perioden 1. november 2014 -31. oktober 2015
  • E Skarbøvik
  • S Haande
  • M Beckmann
  • B Skjelbred
Skarbøvik, E., Haande, S., Beckmann, M. & Skjelbred, B., 2016. Overvåking Vansjø/Morsa 2014-2015. Resultater fra overvåking av innsjøer, elver og bekker i perioden 1. november 2014 -31. oktober 2015. NIBIO rapport 2; 42 2016. 98 pp. (In Norwegian). http://hdl.handle.net/11250/2385271
NS-EN 15204: Water quality -Guidance standard on the enumeration of phytoplankton using inverted microscopy
  • Norwegian Standard
Norwegian Standard, 2004. NS-9459: Water quality -Guidance on sampling of phytoplankton from lakes and reservoirs Norwegian Standard, 2006. NS-EN 15204: Water quality -Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermöhl technique)
Resultater fra overvåking av innsjøer, elver og bekker i perioden 1
  • E Skarbøvik
  • S Haande
  • M Beckmann
  • B Skjelbred
Skarbøvik, E., Haande, S., Beckmann, M. & Skjelbred, B., 2016. Overvåking Vansjø/Morsa 2014-2015. Resultater fra overvåking av innsjøer, elver og bekker i perioden 1. november 2014 -31. oktober 2015. NIBIO rapport 2; 42 2016. 98 pp. (In Norwegian). http://hdl.handle.net/11250/2385271