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Page 1: Trophic Ecosystem Models

Trophic Ecosystem Models

Page 2: Trophic Ecosystem Models

Overview

• Logistic growth model• Lotka volterra predation models• Competition models• Multispecies production models• MSVPA• Size structured models LeMans• Ecopath Ecosim• Atlantis

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Logistic growth Verhulst 1838

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Lotka and Volterra

Lotka, A.J., Elements of Physical Biology, Williams and Wilkins, (1925)

Volterra, V., “Variazioni e fluttuazioni del numero d’individui in specie animali conviventi”, Mem. Acad. Lincei Roma, 2, 31–113, (1926)

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Lotka (1925) Volterra (1926)

eaWLmLdtdL

eWLrWdt

dW

W prey numbers

L predator numbers

r W intrinsic rate of increase

e predator predation efficiency

m predator natural mortality

a predator assimilation efficiency

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Biological unrealism of Lotka Volterra

• No prey self limitation• No predator self limitation• No limit on prey consumption per predator

– Known as functional response

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-10,000,00020,000,00030,000,00040,000,00050,000,00060,000,00070,000,00080,000,00090,000,000

0 50 100 150 200 250 300

Time

-

1,000,000

2,000,000

3,000,000

4,000,000

5,000,000

6,000,000

7,000,000

Wild

Lions

Dynamic behavior

These models are either unstable or cyclic

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Adding some biological realism

predatoreach by year per killed andfound andfor searchedprey theof proportion theis predation thesurvivingfraction theminus one is kill The

)exp(1on assimilati is survival is - dynamics (L)Predator

kill isK -- dynamics (W)Prey

1

1

1

h

hLWKas

aKsLL

Kk

WrWWW

ttt

ttt

tt

ttt

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Functional Responses (C.S. “Buzz”) Holling

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The type II functional response (the disk equation)

NphaNpaTNc

cTa '1

'

Na number attackedN number there (density)a’ area searchedpc probability of successfully detecting and attackingb handling time

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Multiprey functional response

jjcjjj

iciiTai Npah

NpaTN'1

'

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Dynamic behavior in time

-

200,000

400,000

600,000

800,000

1,000,000

1,200,000

0 50 100 150 200 250 300-

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

18,000

Wild

Lions

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Predator prey phase diagram

-

5,000

10,000

15,000

20,000

25,000

30,000

- 500,000 1,000,000 1,500,000 2,000,000

Wildebeest

Lions

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Predator or Prey self limitation

• Do we allow for self limitation, or assume that food (in the form of prey eaten) is the only limiting factor?

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Lotka Volterra competition equations

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Multispecies Production Models

• Biomass dynamics models with trophic interactions

• Captures predation effects• Problems: what you eat and who eats you

changes through the life history – size or age usually needed to capture this

• Switch to simple example in EXCEL

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A simple 4 trophic level modelphytoplankton, zooplankton, grazer, piscivore

• Phytoplankton bottom up driven• Predation equations for other species

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Tkill’=Pred*

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Mpredation = Tkill/PreyMother = other natural mortalityF = fishing mortalitySurvival = exp(-(Mpredation+Mother+F))Preyt+1=Preyt*Survival+PreyConsumed*EcotrophicEfficiency

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MSVPA

• Multi species virtual population analysis• Uses the VPA equation to calculate how

much must have been eaten by other species

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VPA Back-calculation - I

max

ma

max

max

max

max max m

x

ax max

2,2

1

3,4

2,4

1,4

,1 ,2 ,3 ,

3

4

,

y

y

y

y y

y

y

y

y

NNNN

N N

N

N N

Terminal numbers-at-age

The “terminal” numbers-at-age determine the whole N matrix Oldest-age Ns

Most-recent-year Ns (year ymax)

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VPA Back-calculation - II

Given Ny+1,a+1 and Cy,a, Fy,a and Ny,a are calculated as follows:

+ Find Fy,a from the catch equation, i.e. by solving (using bisection or Newtons method):

+ Find Ny,a from Ny+1,a+1 and Fy,a :

,( ),, 1, 1

,

( 1)y aM Fy ay a y a

y a

FC N e

M F

,, 1, 1

y aM Fy a y aN N e

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How MSVPA differs from VPA

• Instead of assuming M constant, M depends on how much other species at of prey species

• This requires diet composition– Thousands and thousands of stomachs need to

be examined!

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Simulating MSVPA using MSFOR

• What do you assume about diet composition?– Does it change with relative abundance?

• Do you allow for a functional response?• What about a spawner recruit relationship?

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Size structured models LeMans

• Number of individuals by species and size class Nij

• Growth parameters to calculate proportion growing between size classes each time interval ϕij proportion moving from i to j

• Mortality has three components– Predation accounted for in model M2– Other natural mortality M1– Fishing mortality F

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LeMans sequence

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Limitations in LeMans

• No relation between food availability and growth (or consumption) and survival or recruitment

• Thus we can’t use it to examine impact on top predators of reducing their prey

• Or bottom up forcing• BUT we can look at impacts of reducing

predators on prey species

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Ecopath and Ecosim

• Switch to Walters Slide show

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Atlantis

• Wait for lecture from Isaac

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