Download The struggle for existence

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Natural capital accounting wikipedia , lookup

Molecular ecology wikipedia , lookup

Ecology wikipedia , lookup

Ecological fitting wikipedia , lookup

Storage effect wikipedia , lookup

Environmentalism wikipedia , lookup

The Population Bomb wikipedia , lookup

Maximum sustainable yield wikipedia , lookup

Human population planning wikipedia , lookup

Theoretical ecology wikipedia , lookup

Transcript
Module BIO-­‐M1-­‐S06 “Evolu3onary ecology” The struggle for
existence
David Claessen!
Institut de Biologie de l’ENS!
Equipe Eco-Evolution Mathématique
Thomas
Robert
Malthus
•  The increase of popula0on is necessarily limited by the means of subsistence; •  The popula0on does invariably increase when the means of subsistence increase; •  The superior power of popula0on is repressed, and the actual popula0on kept equal to the means of subsistence, by misery and vice. Logistic growth
Mathéma0cien, inspiré par le « principe de popula0on » de Malthus, il proposa en 1838 ce modèle pour la dynamique des popula0ons animales grâce à un modèle qui ne soit pas exponen0el. K = capacité de charge r = taux intrinsèque de croissance Redecouvert en 1920 par Raymond Pearl et Lowell Reed, depuis très répandu en écologie Charles Darwin (1859) identified the
« struggle for existence »,"
in combination with heritable
variation,"
as the driving force of evolutionary
change.
4
5
6
7
The origin of this struggle
(« It is the doctrine of Malthus applied with manifold force to the
whole animal and vegetable kingdoms »)
Two basic observations:
1.  All populations tend to
grow exponentially"
2.  Exponentially growing
populations are kept in
check by regulatory
mechanisms
–  Food depletion, predation, disease,
competition, etc
8
Struggle for existence
•  As a population grows exponentially, its impact
on the environment is such that conditions get
less favorable for population growth"
•  This results in population regulation
•  In combination with heritable variation, this also
results in natural selection "
(or: survival of the fittest)
9
Resource
Time
Time
10
Population
Population
Resource
Time
Struggle for
existence
Time
11
Feedback loop
•  The struggle for existence corresponds to a
feedback loop:
–  The environmental "
conditions determine the "
population growth rate"
–  The population size "
determines the "
environmental conditions"
12
A very simple model example
Exponential growth
with
Constant mortality
Food-dependent
reproduction
Population impact on the
environment
13
The « Environment » formulation
•  Why use such a complicated model formulation,
if we can write the same model like this:
with
•  Answers:
–  to obtain a linear model for the population dynamics
–  to make the feedback loop explicit
–  to use a generic model formulation for modelling
density-dependence
14
The environmental feedback loop
Individual
(realised life history,
behaviour)
Environment
(resources, ecological
interactions, physical
environment)
Population
(dynamics,
structure,
demography)
15
The environmental feedback loop
Individual
(realised life history,
behaviour)
ics
m
a
n
y
on d
i
t
a
l
u
y the
b
Pop
d
e
vern
are go graphic
demo ies of
rt
prope , such as
als
u
d
i
v
i
ival,
v
r
ind
u
s
ity,
fecund al growth,
du
indivi tion rate.
migra
Environment
(resources, ecological
interactions, physical
environment)
Population
(dynamics,
structure,
demography)
16
Indi
The environmental
feedback loop
part vid
, on ual prop
th
er
(food e state o ties dep
e
f
pred density the env nd, in
,a
ir
ators
, tem bundan onment
c
pera
ture, e of
etc).
Individual
(realised life history,
behaviour)
Environment
(resources, ecological
interactions, physical
environment)
Population
(dynamics,
structure,
demography)
17
The environmental feedback loop
Individual
(realised life history,
behaviour)
Environment
(resources, ecological
interactions, physical
environment)
Population
(dynamics,
structure,
demography)
Colle
ct
indiv ively,
id
influe uals
nce th
envir
e
o
thoug nment, e.g
.,
h exp
l
o
i
ta
of res
ource tion18
s
How can we use the idea of the environmental
feedback loop to model evolutionary dynamics?
It provides us with a ‘‘free’’ fitness definition
19
Adaptive dynamics
•  The starting point is to consider the fate of
a rare mutant that arrives in an established
resident population
–  Can the mutant invade? (increase)
–  Can the mutant replace the resident?
Trait u → •  Use these questions to determine the path
of evolution
Evolu0onary 0me → 20
The environmental feedback loop
Individual
(realised life history,
behaviour)
Environment
(resources, ecological
interactions, physical
environment)
Population
(dynamics,
structure,
demography)
21
The environmental feedback loop
Individual
(realised life history,
behaviour)
Individual
Environment
(realised life history,
behaviour)
(resources, ecological
interactions, physical
environment)
Population
Population
(dynamics,
structure,
demography)
(dynamics,
structure,
demography)
22
Fitness
•  The mutant initially does not impact the
environment
•  Hence its population growth is exponential:
•  And its invasion fitness is given by the
exponential growth rate r that we now write as
23
Fitness
Adaptive dynamics
The fitness landscape
changes after each
successive mutant
invasion & replacement
0
Trait
0
The resident always
has fitness=0
(The struggle for
existence)
Metz et al (1992, 1996), Geritz et al (1998), etc…
Evolutionarily
stable strategy
(CSS)
0
24
Fitness
Adaptive dynamics
Evolution towards
disruptive selection
0
Trait
0
Evolutionarily
branching
point (EBP)
0
Metz et al (1992, 1996), Geritz et al (1998), etc…
25
Fitness
Adaptive dynamics
Evolution towards
disruptive selection
0
Trait
0
Evolutionarily
branching
point (EBP)
« If Muhammed will not go to the mountain pass,
the mountain pass will come to Muhammed »"
0
"
(Francis Bacon paraphrased)
Metz et al (1992, 1996), Geritz et al (1998), etc…
26