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Elisa Thébault Wageningen University, The Netherlands Mutualistic interactions Trophic interactions Ecological networks and interaction types : which modelling approaches?

Ecological networks and interaction types : which modelling

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Page 1: Ecological networks and interaction types : which modelling

Elisa Thébault

Wageningen University, The Netherlands

Mutualistic interactions Trophic interactions

Ecological networks and interaction types :

which modelling approaches?

Page 2: Ecological networks and interaction types : which modelling

interaction networks

Page 3: Ecological networks and interaction types : which modelling

Modelling the dynamics of interaction networks

From May’s work t… now

Dynamic of a n species community near equilibrium:

with aij the effect of species jupon species i near equilibrium

∑=

=n

jjij

i xadt

dx

1

Stable if s(nC)0.5<1 s interaction strength C network connectance

May 1973

Page 4: Ecological networks and interaction types : which modelling

Modelling the dynamics of interaction networks

From May’s … to nowempirical data random expectation

Montoya & Solé (2002)

non random structural patterns

Page 5: Ecological networks and interaction types : which modelling

Modelling the dynamics of interaction networks

From May’s … to now

non random structural patterns

community stability

Fox (2006)

Non random structural patterns enhance community stability

Page 6: Ecological networks and interaction types : which modelling

Modelling the dynamics of interaction networks

From May’s … to now

non random structural patterns

community stability

94%

food webs

1% mutualisticwebs

4% parasitic webs

Proportions of papers on ecological networks published in the last 50 years

that were related to food webs, mutualisticwebs and parasitic webs

Page 7: Ecological networks and interaction types : which modelling

Modelling the dynamics of interaction networks

From May’s … to now

non random structural patterns

community stability

Large number of analyses of food

web models

Only a few recent works

No models at network

level?

Food webs

Host-parasite & host-parasitoid webs

Mutualistic webs

Page 8: Ecological networks and interaction types : which modelling

Modelling the dynamics of interaction networks

non random structural patterns

community stability

Mutualistic Trophic

nested compartmented

Page 9: Ecological networks and interaction types : which modelling

Modelling the dynamics of interaction networks

non random structural patterns

community stability

Mutualistic Trophic

nested compartmented

How these different structures affect species coexistence and stability in both networks?

Page 10: Ecological networks and interaction types : which modelling

∑∑

∑∑

=∈

=∈

+−−=

++−=

Na

jAjpreyPk

kij

ijijiPiiPi

i

Np

jAipreyPk

kji

jijiiAiiAi

i

P

PAcPIPr

dt

dP

P

PAcAIAr

dt

dA

1)(

12

1)(

12

α

α

∑∑

∑∑

=∈

=∈

++−=

++−=

Na

jPimutAk

kij

ijijiPiiPi

i

Np

jAimutPk

kji

jijiiAiiAi

i

A

PAcPIPr

dt

dP

P

PAcAIAr

dt

dA

1)(

12

1)(

12

α

α

-intrinsic growth rates rP and rA < 0 � obligate mutualism

-intrinsic growth rates rP > 0 and rA < 0

Mutualistic Trophic

The model: dynamics of mutualistic and trophic webs

Page 11: Ecological networks and interaction types : which modelling

∑∑

∑∑

=∈

=∈

+−−=

++−=

Na

jAjpreyPk

kij

ijijiPiiPi

i

Np

jAipreyPk

kji

jijiiAiiAi

i

P

PAcPIPr

dt

dP

P

PAcAIAr

dt

dA

1)(

12

1)(

12

α

α

∑∑

∑∑

=∈

=∈

++−=

++−=

Na

jPimutAk

kij

ijijiPiiPi

i

Np

jAimutPk

kji

jijiiAiiAi

i

A

PAcPIPr

dt

dP

P

PAcAIAr

dt

dA

1)(

12

1)(

12

α

α

-intrinsic growth rates rP and rA < 0 � obligate mutualism

-intrinsic growth rates rP > 0 and rA < 0

-density dependence term -density dependence term

Mutualistic Trophic

The model: dynamics of mutualistic and trophic webs

Page 12: Ecological networks and interaction types : which modelling

∑∑

∑∑

=∈

=∈

+−−=

++−=

Na

jAjpreyPk

kij

ijijiPiiPi

i

Np

jAipreyPk

kji

jijiiAiiAi

i

P

PAcPIPr

dt

dP

P

PAcAIAr

dt

dA

1)(

12

1)(

12

α

α

∑∑

∑∑

=∈

=∈

++−=

++−=

Na

jPimutAk

kij

ijijiPiiPi

i

Np

jAimutPk

kji

jijiiAiiAi

i

A

PAcPIPr

dt

dP

P

PAcAIAr

dt

dA

1)(

12

1)(

12

α

α

-intrinsic growth rates rP and rA < 0 � obligate mutualism

-intrinsic growth rates rP > 0 and rA < 0

-density dependence term -density dependence term

-interaction termsaturates with mutualistic partner densities

-interaction termsaturates with prey densities

Mutualistic Trophic

The model: dynamics of mutualistic and trophic webs

Page 13: Ecological networks and interaction types : which modelling

The model: network structure

diversity

conn

ecta

nce

n = 24 n = 80

C =

0.0

5C

= 0

.2

Page 14: Ecological networks and interaction types : which modelling

The model: network structure

diversity

conn

ecta

nce

diversityconnectance

n = 24 n = 80

nestednessmod

ular

ity

C =

0.0

5C

= 0

.2

Page 15: Ecological networks and interaction types : which modelling

The model: stability measurements

� Persistence:

proportion of species persisting at equilibrium

time

Spe

cies

den

sitie

s

� Resilience:

measure of the speed at which a system returns to its original state after a perturbationEvaluated by the absolute value of the dominant eigenvalue of the Jacobian matrix of the system at equilibrium

Page 16: Ecological networks and interaction types : which modelling

Results: impact of network structure on persistence

Trophic networksMutualistic networks

Diversity

Con

nect

ance

Diversity

++

+-

Page 17: Ecological networks and interaction types : which modelling

Results: impact of network structure on persistence

Trophic networksMutualistic networks

Nestedness

Diversity

Mod

ular

ityC

onne

ctan

ce

Diversity

Nestedness

++

+-

Page 18: Ecological networks and interaction types : which modelling

Results: impact of network structure on persistence

Connectance Diversity

Modularity Nestedness

Persistence

0.07 0.31

- 0.53 - 0.03

- 0.81

0.87 -0.36

0.32

Connectance Diversity

Modularity Nestedness

Persistence

0.12 -0.29

- 0.01 - 0.89

- 0.81

0.86 -0.36

0.35

Mutualistic Trophic

� opposite effect of network structure on the persistence of mutualistic and trophic networks

Page 19: Ecological networks and interaction types : which modelling

Results: impact of network structure on persistence

Connectance Diversity

Modularity Nestedness

Persistence

0.07 0.31

- 0.53 - 0.03

- 0.81

0.87 -0.36

0.32

Connectance Diversity

Modularity Nestedness

Persistence

0.12 -0.29

- 0.01 - 0.89

- 0.81

0.86 -0.36

0.35

Mutualistic Trophic

indirect effect: 0.40 indirect effect: 0.18 indirect effect: -0.76 indirect effect: -0.31

� Importance of nestedness and modularity for network stability

Page 20: Ecological networks and interaction types : which modelling

Results: impact of network structure on resilience

Connectance Diversity

Modularity Nestedness

Resilience

-0.17 0.49

- 0.17 0.25

- 0.73

0.83 -0.42

0.27

Connectance Diversity

Modularity Nestedness

Resilience

-0.62 -0.28

0.23 0.10

- 0.86

0.90 -0.30

0.26

Mutualistic Trophic

indirect effect: 0. 32 indirect effect: 0.13 indirect effect: -0.10 indirect effect: -0.04

� opposite effect of network structure on the resilience of mutualisticand trophic networks

Page 21: Ecological networks and interaction types : which modelling

at e

quili

briu

mat

equ

ilibr

ium

Results: network structure at equilibrium

initial

initial

initial

at e

quili

briu

m

initial

at e

quili

briu

m

Nes

tedn

ess

Mod

ular

ityTrophic networksMutualistic networks

++

+-

Page 22: Ecological networks and interaction types : which modelling

Conclusions and Perspectives

Trophic networksMutualistic networks+

++

-

Strong effects of network structure on community stability that differ between interaction types

� Connectance and diversity promote stability

� Modularity has a destabilizing effect

� Connectance and diversity have destabilizing effects

� Nestedness has a destabilizing effect

Importance of the fine architecture of interaction networks in determining their stability

Page 23: Ecological networks and interaction types : which modelling

Conclusions and Perspectives

Trophic networksMutualistic networks+

++

-

Strong effects of network structure on community stability that differ between interaction types

� Connectance and diversity promote stability

� Modularity has a destabilizing effect

� Connectance and diversity have destabilizing effects

� Nestedness has a destabilizing effect

Importance of the fine architecture of interaction networks in determining their stability

Although different, the architectures of mutualistic and trophic networks both promote stability

Page 24: Ecological networks and interaction types : which modelling

Conclusions and Perspectives� Comparison between networks of different interaction types offers promising approaches to understand the response of communities to disturbances

Page 25: Ecological networks and interaction types : which modelling

Conclusions and Perspectives� Comparison between networks of different interaction types offers promising approaches to understand the response of communities to disturbances

Impact of interaction intimacy?

interaction during all or part of the life with the

same individualinteractions during a short time scale interaction intimacy

predator-preypollination

host-parasitemycorrhizae

Van Veen et al. 2008

Page 26: Ecological networks and interaction types : which modelling

Conclusions and Perspectives� Comparison between networks of different interaction types offers promising approaches to understand the response of communities to disturbances

Impact of interaction intimacy?

effects of network structure on community stability that depend on

interaction intimacy?

Page 27: Ecological networks and interaction types : which modelling

Conclusions and Perspectives� Comparison between networks of different interaction types offers promising approaches to understand the response of communities to disturbances

Impact of interaction intimacy?

effects of network structure on community stability that depend on

interaction intimacy?

May 1973

Page 28: Ecological networks and interaction types : which modelling

Conclusions and Perspectives� Comparison between networks of different interaction types offers promising approaches to understand the response of communities to disturbances

Impact of interaction intimacy?

effects of network structure on community stability that depend on

interaction intimacy?

Model different life stages:

- free-living stage

- parasite within hosts

Anderson and May 1978

Page 29: Ecological networks and interaction types : which modelling

Conclusions and Perspectives� Comparison between networks of different interaction types offers promising approaches to understand the response of communities to disturbances

� Consequences of combining different types of interactions in ecological networks

Amundsen et al. 2009Strauss 1997

Page 30: Ecological networks and interaction types : which modelling

Conclusions and Perspectives� Comparison between networks of different interaction types offers promising approaches to understand the response of communities to disturbances

� Consequences of combining different types of interactions in ecological networks

� Importance of evolutionary processesDifferent coevolutionary mechanisms?

(Thompson 2005, Bascompte et al. 2006)

� complementarity and convergence of traits in interacting species.

� coevolution of defences and counter defences between interacting species.

� importance of flower morphology on the structure of plant-pollinator networks

� importance of chemical compounds on plant – insect herbivores interaction

Trophic networksMutualistic networks+

++

-

Page 31: Ecological networks and interaction types : which modelling

Mutualistic interactions Trophic interactionsThank you for your attention

Most of the pollination networks were provided by the Interaction Web Database (http://www.nceas.ucsb.edu/interactionweb/index.html)

Thanks to OT Lewis, J Loye, T Tcharntke, LA Dyer, DH Janzen for information on their datasets.

Thanks to JM Olesen and R Guimera for the help provided on modularity

Acknowledgements