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2. Fish and climate The forecasts are based on models.

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Presentation on theme: "2. Fish and climate The forecasts are based on models."— Presentation transcript:

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2 2. Fish and climate

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5 The forecasts are based on models

6 IPCC, 2001 The famous "hockey stick"

7 Climate Gate?

8 “.. a new form of colonialism...The white wealthy western world telling 1.6 billion people in developing world -- predominantly of color -- that they have to have their economies managed, their energy managed all because of climate fears."

9 http://joannenova.com.au/2009/12/new- scientist-becomes-non-scientist/ http://www.weeklystandard.com/a rticles/denial

10 THE world’s leading climate change body has been accused of losing credibility after a damning report into its research practices. A high-level inquiry by the InterAcademy Council (IAC) into the Intergovernmental Panel on Climate Change found there was “little evidence” for its claims about global warming. It also said the panel had emphasised the negative impacts of climate change and made “substantive findings” based on little proof.

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12 http://www.climatedepot.com/

13 Global temperature trends: for the last 1,000 years … for the last 10,000 years … for the last 1,000,000 years … NASA, 1998 It seems as if temperatures have always been changing!

14 NIPCC Non-governmental International Panel on Climate Change March 2008 Available on line from www.heartland.org Follow the debate: See http://www.climatedepot.com/

15 Environmental changes What are the fishery, environmental, and trophic effects in historical data? Can we use ‘short-term’ predictions from multiple regression models? Two kind of predictions: What happens when? What happens if? IPCC 2001, Box 6-1

16 Normalised catches of 11 commercial fish species (accounting for about 40% of the world’s marine catch) have fluctuated together over the 20th century. Catches also show a strong relationship with the Atmospheric Circulation Index (ACI). ACI is a large-scale, multi-decadal climatic index based on the direction of atmospheric air mass transfer. Adapted from Klyashtorin (2001) IGBP Science Series,“Marine Ecosystems and Global Change http://ioc.unesco.org

17 Global ecosystem Includes atmosphere, lithosphere biosphere Modified from Karl et al. (2003)

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19 Artist: Glynn Gorick All biological production in the sea depends on plankton Iverson (1990)

20 Regional Climatology Affects Ecosystems The Northern Atlantic Oscillation index (NAO)

21 The Northern Atlantic Oscillation The Atlantic Multidecal Oscillations (AMO) Sutton and Hodson(2005)

22 North sea changes Trends in the abundance of Calanus finmarchicus from Continuous Plankton Recorder Survey (CPR) data. Annual mean biomass (mg C m -3 ) in the upper 10m, and as a proportion of the biomass of species representing all omnivorous zooplankton. http://www.igbp.kva.se/documents/recources/NL_47.pdf

23 Changes in species composition between a cold water and warm water temperate copepod species in the North sea.

24 Relationship between annual abundance of Calanus finmarchicus from CPR Surveys and the winter NAO index 1958-1955 in the North Sea. Blue triangles are from when the relationship broke down in the late 1990s. Redrawn in Skjoldal (2004) after Reid and Beaugrand (2002) r 2 = 0.58 Climate (NAO) influence biology

25 Spawning stock biomass (SSB) of Norwegian spring-spawning herring and the long term- averaged temperature (the AMO signal) Toresen og Østvedt (2000)

26 El Niño-Southern Oscillation Historical sea surface temperature index (ENSO) El Niño and La Niña events are characterized by warmer or cooler than average sea surface temperatures in the tropical Pacific. They are also associated with changes in wind, pressure, and rainfall patterns. Once developed, El Niño and La Niña events are known to shift the seasonal temperature and precipitation patterns in many different regions of the world, even ones that are distant from the equatorial Pacific Ocean. For publications on ENSO and fisheries see: http://www.coaps.fsu.edu/lib/elninobib/fisheries/

27 El Niño Comparison of El Niño conditions (left) with normal conditions (right). http://coastwatch.noaa.gov/images/Sea_Surface_Temperature.ppt

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29 Pacific Decadal Oscillations (PDO) index and modeled primary production (integrated from the surface to 120m) between 1962 and 2000. During the negative PDO, before 1978, the equatorial Pacific was cooler and primary productivity was higher. Throughout the 1980s and 1990s, the PDO was in the positive phase and, therefore, productivity in general was lower. http://www.ncsu.edu/kenan/ncsi/Docs/Presentations/Duke2.ppt

30 Climate change Time series of departures from the 1961 to 1990 base period for an annual mean global temperature of 14.0°C (bars) and for a carbon dioxide mean of 334 ppmv (solid curve) during the base period. From Karl et al. (2003)

31 Present level

32 Historical data examined shows changes in the ocean heat content (to depths of 3000 m) to be slowly increasing with substantial decadal time scale variations related to climate variability. Levitus et al (Science, 1999)

33 Cod Recruitment and Temperature Mean Annual Bottom Temperature 11 10 9 8 7 6 4 3 2 Temp Warm Temperatures decreases Recruitment Warm Temperatures increases Recruitment Recruits Planque and Fredou (1999) From Drinkwater (2004)

34 If BT < 5° and T warms stock recruitment generally increase If BT between 5° and 8.5°C little change in recruitment If BT >8.5°C recruitment generally decreases If BT ≥ 12°C we do not see any cod stocks Cod Recruitment and Temperature Drinkwater (2004)

35 Cod landings at Greenland http://www.ices.dk/globec/data/presentations/Climate%20change%20and% 20fisheries.ppt#267,6,Cod landings at Greenland

36 North sea Examples of North Sea fish that have moved north with climatic warming. Relationships between mean latitude and 5-year running mean winter bottom temperature for (A) cod, (B) anglerfish, and (C) snake blenny. In (D), ranges of shifts in mean latitude are shown. Bars on the map illustrate only shift ranges of mean latitudes, not longitudes. From Perry et al. (2005)

37 from Quero, Du Buit and Vayne, 1998

38 North sea cod – fishing or environment?

39 Annual landings of sole in the Kattegat-Skagerrak (ICES Division IIIA).

40 Sea level changes http://www.ipcc.ch/present/cop7/part2.ppt

41 IPPC, WG1 TS Figure 24

42 Consequences for the Corals?

43 Biologically little is known, but there seems to be a correlation between sea temperatures and coral bleaching. A. Coral showing normally pigmented regions and bleached regions to the upper side more sunlit side of colony. B. Coral in shallows showing similar pattern. Photographer: O. Hoegh-Guldberg. Coral bleaching

44 Regions where major coral reef bleaching events have taken place during the past 15 years. Yellow spots indicate major bleaching events. http://www.marinebiology.org/coralbleaching.htm http://www.marinebiology.org/coralbleaching.htm

45 Distribution of coral bleaching events in 1998 www.duke.edu/web/nicholas/bio217/aer9/causes.htm

46 Coral bleaching Weekly sea surface temperature data for Tahiti (149.5oW 17.5oS). Arrows indicate bleaching events reported in the literature. Horizontal line indicates the minimum temperature above which bleaching events occur (threshold temperature). Hoegh-Guldberg (1999)

47 Coral bleaching Number of reef provinces bleaching since 1979. Hoegh-Guldberg (1999)

48 Predictions IPCC predicts a 1-2°C rise in SST with doubling of CO 2 McWilliams et al. predicts 100% bleaching of coral colonies in the Caribbean with a rise in SST of only 0.85°C McWilliams et al 2005. Ecology. 86(8)

49 Final comments Future climate changes are expected Impact on fish production unknown Individual stocks may change in abundance locally If stock increases the cause will be attributed to ‘environment’ If the stock decrease the cause will be attributed to ‘overfishing’ and/or ‘climate change’

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51 Record HeatRecord Ice MeltRecord Coral BleachingRecord Hurricane seasonRecord Droughts Time for fighting climate change? Thank you!

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53 Leftover slides

54 Time-series of relative sea level for the past 300 years from Northern Europe. The scale bar indicates ±100 mm. IPCC 2001( http://www.ipcc.ch/pub/wg1TARtechsum.pdf)


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