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Jannicke Moe 1
Freshwater Case Study:
Lake Mjøsa &
Gudbrandsdalslågen
SUSTAIN First Annual Meeting
Jannicke Moe (NIVA),
Asbjørn Vøllestad, Chloé Nater (UoO),
Atle Rustadbakken (County Gov. Hedmark)
14.01.2016
14.01.2016Jannicke Moe 2
Hamar Arbeiderblad 06.01.2016
http://www.h-a.no/nyheter/mjosa-blir-varmere
14.01.2016Jannicke Moe 3
Løvik m.fl. 2015
(NIVA-rapport 6848)
http://forskning.no/klima-okologi/2016/01/verdens-sjoer-blir-varmere
14.01.2016Jannicke Moe 4
Year
Icecover
1970 1980 1990 2000
0
20
40
60
80
100
120
Ice cover mean changepoint: 1986
No.ofdays
Duration of ice cover
http://forskning.no/klima-okologi/2016/01/verdens-sjoer-blir-varmere
www.vassdragsforbundet.no
14.01.2016Jannicke Moe 5
Mjøsa Lågen
The Hunder Trout
“Regular” Brown Trout Hunder Trout
• One of Europe’s largest trout
• 40 years of mark-recapture data
• Recent changes:
 Decreasing body size (shrinking)
 Altered maturity reaction norm
• Evolutionary response to dam (1966)?(Haugen et al. 2008)
• Reaction to climate change?
Chloé R. Nater
Hunder trout - main objectives
Stock
1) Estimation of vital rates and growth (temperature)
2) Extending to population dynamics
3) Effects of environmental conditions
4) Effects of climate change and management scenarios
Chloé R. Nater
Data on the Hunder trout
• 7000 individuals
• 1966-2002 (+ later)
• Mark-Recapture-Recovery
and life-history data
• Owned by Per Aass and
Atle Rustadbakken
(County Gov. of Hedmark)
• Harvesting: scattered data
(County Gov. of Oppland)
29.10.2015Jannicke Moe 8
14.01.2016Jannicke Moe 9
Mjøsa Lågen
The "Save Mjøsa Campaign" 1977-1981
14.01.2016Jannicke Moe 10
Foto: J. E. Løvik
1980 1990 2000 2010
4
6
8
10
År
TotalP(µg/L)
... has altered the water quality
14.01.2016Jannicke Moe 11
Less phosphours
1980 1990 2000 2010
1
2
3
4
5
6
År
Klf.a(µg/L)
Less algae
1980 1990 2000 2010
1000
1500
2000
2500
År
Tørrvekt(mg/m2)
Less zooplankton
Løvik & Kjellberg (2003)
Hobæk, Løvik, Rohrlack, Moe m.fl. (2012)
Løvik m.fl. (NIVA-rapport 2015)
16 20 24 28 32 36 40 44
0.0
0.5
1.0
1.5
2.0
2.5
Tid på året (uke nr.)
Biomasse(mg/L)
Total biovolume
1975-1984
1985-1994
1995-2004
2005-2014
Phytoplankton:
• Lower biomass
• Later peak biomass
than in the 70s
Zooplankton:
• Lower biomass
• Earlier peak biomass
than in the 70s
• Towards mismatch?
Seasonal dynamics of plankton has
changed through the decades
14.01.2016Jannicke Moe 12
16 20 24 28 32 36 40 44
0
1000
2000
3000
Tid på året (uke nr.)
Tørrvekt(mg/m2)
ZP
1975-1984
1985-1994
1995-2004
2005-2014
Data on water quality and plankton:
1972-2015
29.10.2015Jannicke Moe 13
Data and knowledge - summary
14.01.2016Jannicke Moe 14
Excellent data
40 years
12 samples per year
All species
Great data
40 years
7,000 ind.
Few data, but
knowledge
Few data, but
knowledge
How can SUSTAIN best combine
and make use of...
• Extensive long-term datasets
• ... missing intermediate trophic levels
• Knowledge on Mjøsa/Lågen:
environment, species, management
• Including data owners and end-users
• Expertise on modelling and statistics
• Bayesian methods
• Participatory modelling
14.01.2016Jannicke Moe 15
References
Haugen, T. O. et al. 2008. Changes in selection and evolutionary responses in
migratory brown trout following the construction of a fish ladder. Evol. Appl. 1:
319–335.
Hobæk, A., J. E. Løvik, T. Rohrlack, S. J. Moe, M. Grung, H. Bennion, G. Clarke and
G. T. Piliposyan (2012). "Eutrophication, recovery and temperature in Lake
Mjøsa: detecting trends with monitoring data and sediment records."
Freshwater Biology 57(10): 1998-2014.
Løvik, J. E.; Bækken, T.; Kile, M. R.; Skjelbred, B. (2015): Tiltaksorientert
overvåking i vannområde Mjøsa. Årsrapport for 2014. NIVA-rapport 6848.
Løvik, J. E. and G. Kjellberg (2003). "Long-term changes of the crustacean
zooplankton community in Lake Mjøsa, the largest lake in Norway." Journal of
Limnology 62(2): 143-150.
14.01.2016Jannicke Moe 16

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Freshwater Case Study: Lake Mjøsa & Gudbrandsdalslågen

  • 1. Jannicke Moe 1 Freshwater Case Study: Lake Mjøsa & Gudbrandsdalslågen SUSTAIN First Annual Meeting Jannicke Moe (NIVA), Asbjørn Vøllestad, Chloé Nater (UoO), Atle Rustadbakken (County Gov. Hedmark) 14.01.2016
  • 2. 14.01.2016Jannicke Moe 2 Hamar Arbeiderblad 06.01.2016 http://www.h-a.no/nyheter/mjosa-blir-varmere
  • 3. 14.01.2016Jannicke Moe 3 Løvik m.fl. 2015 (NIVA-rapport 6848) http://forskning.no/klima-okologi/2016/01/verdens-sjoer-blir-varmere
  • 4. 14.01.2016Jannicke Moe 4 Year Icecover 1970 1980 1990 2000 0 20 40 60 80 100 120 Ice cover mean changepoint: 1986 No.ofdays Duration of ice cover http://forskning.no/klima-okologi/2016/01/verdens-sjoer-blir-varmere www.vassdragsforbundet.no
  • 6. The Hunder Trout “Regular” Brown Trout Hunder Trout • One of Europe’s largest trout • 40 years of mark-recapture data • Recent changes:  Decreasing body size (shrinking)  Altered maturity reaction norm • Evolutionary response to dam (1966)?(Haugen et al. 2008) • Reaction to climate change? Chloé R. Nater
  • 7. Hunder trout - main objectives Stock 1) Estimation of vital rates and growth (temperature) 2) Extending to population dynamics 3) Effects of environmental conditions 4) Effects of climate change and management scenarios Chloé R. Nater
  • 8. Data on the Hunder trout • 7000 individuals • 1966-2002 (+ later) • Mark-Recapture-Recovery and life-history data • Owned by Per Aass and Atle Rustadbakken (County Gov. of Hedmark) • Harvesting: scattered data (County Gov. of Oppland) 29.10.2015Jannicke Moe 8
  • 10. The "Save Mjøsa Campaign" 1977-1981 14.01.2016Jannicke Moe 10 Foto: J. E. Løvik
  • 11. 1980 1990 2000 2010 4 6 8 10 År TotalP(µg/L) ... has altered the water quality 14.01.2016Jannicke Moe 11 Less phosphours 1980 1990 2000 2010 1 2 3 4 5 6 År Klf.a(µg/L) Less algae 1980 1990 2000 2010 1000 1500 2000 2500 År Tørrvekt(mg/m2) Less zooplankton Løvik & Kjellberg (2003) Hobæk, Løvik, Rohrlack, Moe m.fl. (2012) Løvik m.fl. (NIVA-rapport 2015)
  • 12. 16 20 24 28 32 36 40 44 0.0 0.5 1.0 1.5 2.0 2.5 Tid på året (uke nr.) Biomasse(mg/L) Total biovolume 1975-1984 1985-1994 1995-2004 2005-2014 Phytoplankton: • Lower biomass • Later peak biomass than in the 70s Zooplankton: • Lower biomass • Earlier peak biomass than in the 70s • Towards mismatch? Seasonal dynamics of plankton has changed through the decades 14.01.2016Jannicke Moe 12 16 20 24 28 32 36 40 44 0 1000 2000 3000 Tid på året (uke nr.) Tørrvekt(mg/m2) ZP 1975-1984 1985-1994 1995-2004 2005-2014
  • 13. Data on water quality and plankton: 1972-2015 29.10.2015Jannicke Moe 13
  • 14. Data and knowledge - summary 14.01.2016Jannicke Moe 14 Excellent data 40 years 12 samples per year All species Great data 40 years 7,000 ind. Few data, but knowledge Few data, but knowledge
  • 15. How can SUSTAIN best combine and make use of... • Extensive long-term datasets • ... missing intermediate trophic levels • Knowledge on Mjøsa/Lågen: environment, species, management • Including data owners and end-users • Expertise on modelling and statistics • Bayesian methods • Participatory modelling 14.01.2016Jannicke Moe 15
  • 16. References Haugen, T. O. et al. 2008. Changes in selection and evolutionary responses in migratory brown trout following the construction of a fish ladder. Evol. Appl. 1: 319–335. Hobæk, A., J. E. Løvik, T. Rohrlack, S. J. Moe, M. Grung, H. Bennion, G. Clarke and G. T. Piliposyan (2012). "Eutrophication, recovery and temperature in Lake Mjøsa: detecting trends with monitoring data and sediment records." Freshwater Biology 57(10): 1998-2014. Løvik, J. E.; Bækken, T.; Kile, M. R.; Skjelbred, B. (2015): Tiltaksorientert overvåking i vannområde Mjøsa. Årsrapport for 2014. NIVA-rapport 6848. Løvik, J. E. and G. Kjellberg (2003). "Long-term changes of the crustacean zooplankton community in Lake Mjøsa, the largest lake in Norway." Journal of Limnology 62(2): 143-150. 14.01.2016Jannicke Moe 16

Editor's Notes

  1. Step 3: Make model more complex and realistic by adding additional (interacting) factors such as… Phytoplankton biomass Phosphorus content (eutrophication) Nitrogen content Water availability Stocked vs. wild fish Harvesting impacts Will increase predictive power of the model Step 4: Ask questions to our model e.g. which factors are most important for population dynamics? Differences between stocked and wild fish? Make predictions regarding climate change and managemet scenarios
  2. http://www.digitaltmuseum.no/things/mjsaksjonen-plakat-krig-mot-oscillatoria/HH/DOK-54052
  3. - Studier av fenologi / timing: ofte konkrete hendelser (f.eks. blomstring) Sesongdynamikk her styres av flere prosesser: bottom-up, top-down og konkuranse Prøver å se nærmere på hvilke forklaringsvariabler har mest å si For utvalgte arter Dyreplankton: 1 art har senere topp (p=0.<)
  4. Foto hunderørret: http://trollingadventure.no/wp-content/uploads/2014/05/IMG_1164.jpg