Trophic cascades 2 Flashcards
When did fishing landings and power increase and decrease?
Thurstan RH et al. (2010) Nature Communications -
Relates to the North Sea – landings of demersal fish. Record going back to the 1880s. Dips correspond to world wars.
Change in the fishing effort is complicated by sail vessels up to the 1900s. From 1890’s steam, 1940 on surge in diesel power.
Fishery landings
- Monitored since 1880s
- Dropped in both world wars when fishing declined
- Overall growth 1889-1940s
- Decline 1950s-present
Fishing vessels
- Unit = typical sail-powered fishing boat
- Sail began with 2.5 fishing power of steam
- Steam then grew rapidly, peaked in the 1930s, declining from 1940s
- Total fishing power peaked in 1972
How do landings per unit of fishing power change for fishing activity over the past century?
Landings
- Landings per unit of fishing power (LPUP): correcting for changes in fishing power
- Landings per unit effort (LPUE, t/100 h)
- Relate these different types of fishing activity to a scale of fishing power.
- LPE – only from the 1980’s do we have data that made it possible to get an idea of the number of hours spent fishing.
- Previous records were very crude.
- From the 1950’s a dramatic decline
What phases of fishing development impacted on the industry?
- Phase 1 1889-1914: rapid industrialisation, intensification of fishing, fleet converting from sail to steam
- Phase 2 1919-1939: further expansion, distant grounds (Arctic, W Africa)
- Phase 3 1956-1982: rapid decline, distant waters fully exploited, contraction of grounds (e.g. Iceland EEZ 50 then 200 n miles) as a response to fishery depletion
- Phase 4 1983-present: Common Fisheries Policy etc
What study shows the conversion of a UK fishery?
Another study by Ruth Thurstan for the Firth of Clythe.
Landings as a whole go down. Amount of Roundfish (pelagic – herring) show a greater decrease than Flatfish. While the roundfish and the flatfish decline – trawl bands – 3 mile limit – but the decline shows through.
1985: 40% of landings mass was shellfish
2008: Nephrops 84% (rest = other invertebrates e.g. scallops)
9kg bycatch per kg of Nephrops
Northumberland: catch currently mostly lobsters, Nephrops, crabs.
Dominated by volume and value by invertebrates. Trophic cascade thing going on - removed big things from system and invertebrates are benefitting.
When looking for top-down or bottom-up effects on the food chain (fisheries) how may looking at grazers help?
Looking at the abundance of the plants relative to thew predators.
Look at trends over time, relationships between these things over time.
Top-Down
If you looked at the abundance of predators, algae and grazers you would be looking for an inverse relationship between the predators and the grazers. The more predators there are the fewer grazers there will be - generating a +ve relationship between predators and algae, and inverse between grazers and the algae.
Bottom-up, everything bis positively related. More algae, more grazers, more predators.
How may changing the food web from predator, grazer, algae to predator, mesopredator, gazer, algae effect the relationships between trophic levels in a top-down cascade? ?
3 trophic levels.
- Predator levels have a positive relationship with algae.
4 trophic levels
- Predator has a +ve relationship with grazer and a -ve relationship with mesopredator and algae.
- Grazer and algae still have a -ve relationship.
What factors are at play in populations aside from predation.
Populations as dynamic entities:
(1) Different sources of mortality
(2) But supply-side also important: recruitment
- We are trying to find patterns in complex ecosystems. Individual populations are very complex. Lots of things influencing the size of the population.
- A population can remain stable in the face of lots of mortality is recruitment is high but will be seriously depleted if recruitment is low.
- Making an assumption that predation is the main driver of that mortality
- Making the assumption that recruitment is not a major driver of abundance.
*
Explain a study on abundances that shows fluctuations over a long time period?
Ravier C, Fromentin J-M 2001 ICES J Marine Science
They discovered, in Sicily, longstanding fishing operations have maintained records from the 1600s. Catches vary around 100-year large cycle with smaller cycles in-between.
This study is complicated as bluefin tuna migrate along the from the Atlantic, into the Mediterranean into traps.
What actually drives the limits or average level of a catch is unknown.
~100-120 and ~20 year cycles
What are the limits, what sets them?
What are the fundamental questions posied by fluctuations in populations?
Do these population sizes vary about mean values?
What determines these and why do the populations return to them?
Do the population sizes have set limits, of so what determines them?
What are the fundamental factors and processes in community dynamics?
Are the ecosystems deterministic or chaotic? If there are elements of both, to which parts of the system do they apply?
Give some population models.
- If you suppose the rate of change of biomass is a function of the biomass that is present at any particular time. A limit is reached and the population crashes. Boom and bust model – not equilibrial.
- As density increases so do other effects such as predation, competition, disease atc, meaning the model would stabilise.
- Schaefer model (picture) used heavily in fishery science, relies on there being a very simple sigmoid pattern of population growth. If you relate the growth rate as indicated by the slope in relation to population (biomass), as that declines – the effect of fishing (at higher levels of population size) growth rate increases and at lower levels some kind of +ve effect. Term carrying capacity.
Why may fish populations not support the high level of recruitment from spawning you Nextmight expect?
Myers RA, Worm B 2005 Proc Royal Society
Calculated the lifetime maximum reproductive rate. 144 different fish populations if different habitats.
In spite of mindset we have of animals having many eggs, their lifetime reproductive rate is extremely low.
Data on 114 fish populations, all habitats, tropical to polar, coastal to oceanic
Reproductive rates of fish are in the range of 2-40 recruits per spawner - not too far from those of other vertebrates!
Typical fishing mortality of 0.4 would render 42 species extinct
What determines population size and community structure?
Lottery hypothesis
Compare this with ‘Competition hypothesis’ (deterministic model) where presence of a species and community structure determined by habitat acting like a template.
Lottery hypothesis: characteristics
- Species may be ecologically similar to each other
- Randomness of larvae - community structure depends on who arrives at the scene first, described as chaotic
- Whilst individual populations would not be in equilibrium with resources, the guilds of species would. A particular patch of habitat could only fit in so many individuals of competing species, and that total size of guild would be in equilibrium with resources
- Species composition changes stochastically (chaotic)
Lottery hypothesis: weaknesses
- No easy way at looking at whole population scale, data from small scale studies. Small areas will have greater variability.
- Strong associations occur between particular species, when studies have taken place on a larger scale, suggesting something more orderly is going on.
What determines community structure?
- Recruitment limitation
- High species turnover on artificial reefs (ie. identical habitat chunks)
- High mortality of fish eggs and larvae
- Importance of larval recruitment?
- Wind direction influences damselfish settler density sometimes
- Do egg and larval mortality govern recruitment?
- What governs large-scale patterns?
- Are populations ‘open’ or ‘closed’ in recruitment terms?
- Larval starvation, dispersal and predation hypotheses
- Does food concentration/type influence larval survival?
- What role does dispersal play?
- What evidence is there for predation being important?
Starvation hypotheses
Match-mismatch hypothesis: spawning time is fixed but plankton production cycle is not, the larval pulse may not coincide with conditions conducive to successful first feeding (DH Cushing)
Studied: Barents Sea cod larvae and Calanus Stage 1 nauplii densities in 1960, 1980-81, 1983-85
Results Variations in copepod spawning, such that mismatch in 1960 (warm, early) and 1981 (cold, late)
Temperature affects year-class: warm years (e.g., 3-4C) weak and strong, but cold years (e.g., 1-2C) only weak.
1960 and 1981 weak year-classes, 1980, 1983-1985 stronger on average
1980 salinity anomaly, 1983-85 adverse oceanographic events after first feeding?
Conclusion: timing of food supply is important for cod, but other factors also affect larval survivorship
Factors include -
food and temperature affect growth rate, in turn affecting the duration of vulnerable stages.
More predation increases the food per larva creating larger larvae. This may reduce predation later increasing the numbers of larvae.
If the limiting factor is food, increasing food would increase the size of the larvae (and decrease predation).
If size is the limiting factor - less predation would increase larvae numbers
Predation hypotheses
What evidence that predation on larvae is influential in survivorship?
What level of predation and what are the predators?
What is their impact
e. g. Hewitt et al.: Californian jack mackerel
(1) egg and yolk-sac larva mortality very high, must have been largely predation because yolk provides food after first feeding
(2) histological evidence of starvation was then very high over a week or so
3) then declined to zero again, when predation again important
e. g. HW van der Veer: Wadden Sea
(1) jellyfish and ctenophore predation only in May
(2) low predation on plaice larvae because
(3) high on flounder larvae which abundant from April
(4) 2.5% of freshly-caught ctenophores have flounder in guts, this predation equivalent to 50% of starting density in a few hours!
Conclusion: predation mortality on larvae may be very important, but most evidence for role of predation highly circumstantial,