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Nicolas Loeuille Laboratoire Ecologie & Evolution, Université Pierre et Marie Curie [email protected] Effects of local negative feedbacks on the evolution of species within metacommunities

Nicolas Loeuille - présentation MEE2013

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Page 1: Nicolas Loeuille - présentation MEE2013

Nicolas LoeuilleLaboratoire Ecologie & Evolution,

Université Pierre et Marie [email protected]

Effects of local negative feedbacks on the evolution of species within

metacommunities

Page 2: Nicolas Loeuille - présentation MEE2013

Starting with an old debate

Gause 1934

Hutchinson 1961

How do we explain the maintenance of diversity within a group of species ?

Page 3: Nicolas Loeuille - présentation MEE2013

Spatial components in the maintenance of diversity

● Total « regional » diversity :– Colinization-Competition Trade-off (Tilman 1994)

– Spatial heterogeneity and niche partitioning (Leibold et al. 2004)

– Storage effects (Chesson 1994)

– Random speciation, ecological drift (Hubbell 2001)

● Local diversity– Mass effects (source-sink relationships) Mouquet &

Loreau (2004)

– Janzen-Connell (Janzen 1970)

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The puzzling diversity of tropical forests

● Neutral dynamics

Speciation, migration, ecological drift (Hubbell 2001)

● Niche deterioration

Competitive hierarchy, mediated by enemy attraction (Janzen 1970)

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The Janzen-Connell hypothesis

Janzen 1970

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Local negative feedbacks

Enemy presence

Presence of one individual

Decrease in survival, decrease in competitive ability

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An illustrative example

Diez et al. 2010

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Importance for community structure and diversity

Klironomos et al. 2002

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Consumption constraints also yield local negative feedback (1/2)

Plant N:P=12:1

SoilN:P=15:1

Nu

trie

nt u

pta

keN

itrog e

n re

lease

N:P in soil increasesFavors incoming competitor species with a higher N:P

Page 10: Nicolas Loeuille - présentation MEE2013

Consumption constraints also yield local negative feedback (2/2)

P

BA

P

BA

Habitat becomes less suitable for predator AAn alternative predator with high affinity for B would be favored

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Critical conditions under which feedbacks act on diversity

1)Local environment is largely driven by the species presence (vs, eg, external abiotic constraints): niche construction (Laland et al. 1999, Kylafis & Loreau 2008)

2)Spatial constraints: low diffusion of enemies or nutrient compared to the species dispersal

3)Evolutionary constraints: Evolutionary dynamics lag behind ecological dynamics

What is the amount of diversity emerging from the interplay of these three constraints?

Page 12: Nicolas Loeuille - présentation MEE2013

Ecological dynamics of the model● 30*30 patches on a torus

● Each patch i has an environmental state zi

● Each morph has a trait xi

● (a) Extinction, with probability e● (b) Colonization from neighbor with probability c,

success if the invader j is better adapted (xj closer to

zi)

Initial Situation(a)

(b)

Ecological Dynamics

Page 13: Nicolas Loeuille - présentation MEE2013

Evolutionary dynamics

● Each local population has a probabilityμ to undergo a beneficial mutation.

● (c) If so, the new trait of the population xi becomes

closer to environmental state zi by less than dx

Initial Situation

(c)

Evolutionary Dynamics

Page 14: Nicolas Loeuille - présentation MEE2013

Environmental dynamicsLocal environment z

i changes :

d) Away from xi by a fixed step

dz if the patch is full (negative feedback)

d) Toward 0 by a step dz if the patch is empty (global averaging)

e) Toward the local average by a step αdz in all instances (contamination)

Initial Situation

(d)

(e)

Page 15: Nicolas Loeuille - présentation MEE2013

Initial conditions and possible dynamics

● Only one population, of trait xi=0.5

● For each patch, an environmental value z is picked at random between 0 and 1

● One million time steps considered

Q1 Conditions for the emergence of diversity ?

Q2 Effects on the environmental structure ?

Q3 Effects on the community patterns at various scales ?

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Permanent generalism

One species only, generalist(here, high e)

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Permanent specialization

DiversificationMaintenance of specialist morphs(here, e=0)

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Taxon cycles

DiversificationPeriodic extinction of specialist morphs(here, intermediate e)

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On taxon cycles

Considering the occupation of islands by lizards :-one lizard species on one island-invasion by larger lizard species is possible-evolution toward smaller sizes of the ancestral species (specialization)-Same for the invader-Eventual extinction of the ancestral species

Roughgarden & Pacala 1979Ricklefs & Bermingham 2002

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Effects on the grain of the environment

Permanent Generalism

Taxon cycles

Permanent specialization

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The succession of the three patterns is deterministic

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Conditions for emerging diversity

● From the succession of the three patterns, it is possible to distinguish parameters favoring diversity (PG->TC->PS)

● Such parameters include : colonization rate c, negative feedback dz

● Parameters that prevent the emergence of structure and diversity : extinction rate e, mutation rate μ (or mutation amplitude dx), contamination from surrounding patches α

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What is the amount of diversity obtained ?

Page 24: Nicolas Loeuille - présentation MEE2013

What is the amount of diversity obtained ?

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The succession of the three patterns is deterministic

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How is diversity organized in space ?

● Species-Area relationship (Preston 1962) : D=D0As

Kodric-Brown & Brown (1993)

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How is diversity organized in space ?

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Species abundance distribution

From McGill et al. 2007

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On an arithmetic scale, the model reproduces the traditional empty curve

PGTCPS PGTCPS

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On a logarithmic scale, multimode distributions

PGTCPS PGTCPS

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Conclusions

● Negative feedbacks may allow the emergence of diversity, but not under all conditions

● Taxon cycle one possible outcome, but in fact part of a continuum

● The model also provides classical shapes for macroecological patterns (species abundance distribution, species area curve)

● Associated with the temporal dynamics of diversity, such patterns can allow more robust testing of the model (McGill et al. 2003)

Page 32: Nicolas Loeuille - présentation MEE2013

Acknowledgements

Mathew Leibold