Title: ECOSYSTEM JELLO
1ECOSYSTEM JELLO
- Kerim Aydin Bob Francis Pat Livingston
2Ecosystem properties
- Stability Many Many terms
- Resilience
- Resistance
- Food web structure?
- Diversity
- High biomass or other adaptations in susceptible
groups - MEASURE VARIANCE
3Need to understand control
- TOP DOWN?
- BOTTOM UP?
- MIDDLE OUT?
- Which (if any) is dominant in marine systems??
- Explanations may be easy to find and hard to
confirm!
4Kitchellization
Marine Mammals
Sharks
- The process of losing beer money by making poor
guesses about ecosystem responses
Large Fish
???
Forage Fish
Zooplankton
Phytoplankton
5Revenge??
Marine Mammals
Sharks
Large Fish
Forage Fish
Zooplankton
Phytoplankton
6Top-down-bottom-up-ENSO-PDO-fishing?
7Where can you go from a marine food web?
- Process models
- Investigate specific environmental linkages
- Address species concerns (endangered spp.)
Food Webs
- Multi-species harvest models
- Predict returns from harvest strategies
- Biomass dynamics models
- Measure broad ecosystem properties
- Assess risks of regime shifts
- Determine the need for mechanisms
8Why use the most general models?Regimes Happen!
- Biomass dynamics models
- Measure broad ecosystem properties
- Assess risks of regime shifts
- Determine the need for mechanisms
- There needs to be a way to abstract ecosystems,
and look for risks. - This is one example of using whole ecosystem
properties to examine this risk.
9Food web forcing?
Marine Mammals
Sharks
Large Fish
????
Forage Fish
Zooplankton
Phytoplankton
10Correlation requires Variation
11Variation comes with history
- This is maybe not so important in labs and lakes
(white systems). - But in large marine systems.
12History vs. the correlation method - equilib. Vs.
time...
13How can variability vary?
- Amplitude
- Frequency
- Cadence
14What are the characteristics of a food web
component?
15What are the characteristics of a food web
component?
- Biomass (tons)
- Production (tons/year)
- P/B (1/year)-
- inverse of replacement time
- related to generation time
B
P
P/B
16What are the characteristics of a food web
component?
- Biomass (tons)
- Production (tons/year)
- P/B (1/year)
- Trophic level
B
P
P/B
17What are the characteristics of a food web
component?
- Biomass (tons)
- Production (tons/year)
- P/B (1/year)
- Trophic level
- Network characteristics
- Dissipative characteristics
B
P
P/B
18B vs. P/B
P
P
B
B
P/B
P/B
19This experiment
- Start with two Actual Food Webs
The East. Bering Sea Shelf system with pollock
as the dominant fished species The East.
Tropical Pacific Tuna are dominant fished
species Both have shown interannual variation in
primary production which may be linked to climate
signals.
20Need rules for species interactions
????
- One possibility of many
- P/B then B of predator respond to increases of
prey biomass - overly stable - only looking for chances of
regimes - Ratio-dependent predator/prey model with
satiation (ECOSIM based) - Mimics surplus production (Pella-Tomlinson) model
when predator, prey fixed. - Next step is to add better age-structure (single
biggest weakness of the model).
21Dynamics of overlap
Its cold down there!
V
Bj
B-V
aijVijBj
vij (Bi-Vij)
Bi - Vij
Vij
Assume fast equilibrium for Vij
vijVij
dVij /dt vij(Bi-Vij) - vijVij - aijVijBj
22The appearance of Density Dependence
- dVij /dt vij(Bi-Vij) - vijVij - aijVijBj 0
- Vij vijBi/(2 vij aijBj)
- Cij (Bi,Bj) aijvijBiBj
- (2 vij aijBj)
Prey biomass
Cij (or Minstant)
Cij /Bj
Predator Biomass
23P/B vs. Trophic Level - EBS
- (note missing microzooplankton)
- B vs. Trophic Level? No firm relationship
24P/B vs. Trophic Level - ETP
25Insert bottom up variation
- Use natural signal (e.g. ENSO)
26Insert bottom up variation
- Use natural signal (e.g. ENSO)
- Vary amplitude, frequency, cadence
27Insert bottom up variation
- Use natural signal (e.g. ENSO)
- Vary amplitude, frequency, cadence
28Insert bottom up variation
- Use natural signal (e.g. ENSO)
- Vary amplitude, frequency, cadence
29Results
- Heres a couple 100-year time tracks...
- We care about
- Amount of variability transmitted (CV over 100
years)
30Amplitude and cadence
- Increasing the amplitude of forcing increases the
amplitude of response. - Cadence is complex, and depends too heavily on
(unknown) parameters.
31Frequency and Variation
32Frequency and Variation
33Frequency and Variation
34Frequency II - CV (tuna)
35What about correlations and control??
36One theoretical explanation...
- Simply hitting the resonant frequencies of each
model component? - Useful for model (and real life) analysis of
important terms. - Real life P/B values may imply natural resonant
frequencies.
37Small observations
- Missing seasonal/micronekton
- Frequencies, P/B are the same unit (1/time)
- Trophic Level less of a fit
38Fish must follow history or be history
- If P/B of a species is in the range that it is
excited by the balance of top-down/bottom up,
does it need extra biomass to be stable (avoid
regimes)? - We dont know the frequency of primary production
variation in many systems. - Need to look at more ecosystems
39What responds to each frequency range?
- Forage fish, micronekton response peaks near
ENSO-scale forcing.
- This doesnt mean that they vary on an ENSO
scale, but that they are most susceptible to
crashes when the bottom-up forcing is at that
scale.
40What responds to each frequency range?
- Forage fish, micronekton response peaks near
ENSO-scale forcing.
- Larger commercial fish response peaks at regime
(10-50 year) forcing.
41So what about fishing?
- General principle of surplus production As B
goes down, P/B goes up, due to - more food per fish
- smaller, faster growing fish
P
P
B
B
P/B
P/B
42Are our fish becoming anchovies?
- Beyond multispecies MSY, have we changed the
natural time scale of animals (P/B, replacement,
generation time) without changing the natural
time scale (frequency) of input variation?
43Shift happens (with a little help from)
- Fishing may push a species in or out of the high
CV range. - Will regime changes occur MORE or LESS frequently
with fishing? - It can occur in both directions the fin whale
control? - What is the range of fishing change compared to
natural variability in P/B?
44Preliminary until...
- More ecosystems and parameters
- Devil in the details
- Model type, (L.V., ECOSIM, Spatial, parameters)
- Fishing changes (historical)
- Still, true for reasonable forms
- Middle-out Forcing
45CONCLUSIONS
- The frequency of primary production variation
may be strongly connected to P/B. - The frequency associated with regime shifts
(10-50 year period) is the frequency at which
most currently fished species show the strongest
response. - Fishing may push P/B into or out of the range of
greatest variation, depending on the frequency of
natural forcing in the ecosystem.