The interplay of trophic interactions and game dynamics gives rise to life-history trade-offs, consistent personalities, and predator–prey and aggression power laws
New Journal of Physics,
Journal Year:
2025,
Volume and Issue:
27(2), P. 023009 - 023009
Published: Feb. 1, 2025
Abstract
Ecological
processes
and
evolutionary
change
are
increasingly
recognized
as
intimately
linked.
Here,
we
introduce
an
eco-evolutionary
model
of
trophic
interactions
between
predators
prey
show
that
the
flow
resources
in
ecosystem
results
scale-invariant
spatial
temporal
structure
ecosystems.
In
contrast
to
conventional
approaches
rely
on
fitness-based
selection,
evolution
our
framework
is
a
direct
consequence
ecological
interactions.
To
illustrate
this,
combine
with
games
by
allowing
individuals
play
game
within
population
where
they
can
adopt
aggressive
or
non-aggressive
strategies.
We
develop
consistent
personalities
their
life-history
trade-offs
become
intertwined
dynamics.
Aggressive
tend
live
faster,
more
reproduction-focused
lives,
whereas
nonaggressive
favor
slower,
longer-lived
These
patterns
emerge
naturally,
rather
than
being
imposed
assumptions.
Furthermore,
demonstrate
nonequilibrium
dynamics
resource
decisive
role
driving
across
populations.
identify
new
class
aggression
scaling
laws
arising
from
interplay
processes.
The
relates
predator–prey
food
web
control
shows
small
offspring
size,
high
relative
mobility,
low
predator
conversion
efficiency,
competition,
competition
all
over
web.
Our
findings
illuminate
how
large-scale
patterns—including
power
biomass
avalanche-like
pulses—can
relate
outcomes
such
personalities,
trade-offs,
density-dependent
growth.
This
perspective
strengthens
emerging
view
ecology
two
faces
same
coin,
each
shaping
other
self-organized,
energy-driven
system.
Language: Английский
A stochastic field theory for the evolution of quantitative traits in finite populations
Theoretical Population Biology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 1, 2024
Infinitely
many
distinct
trait
values
may
arise
in
populations
bearing
quantitative
traits,
and
modelling
their
population
dynamics
is
thus
a
formidable
task.
While
classical
models
assume
fixed
or
infinite
size,
which
the
total
size
fluctuates
due
to
demographic
noise
births
deaths
can
behave
qualitatively
differently
from
constant
density-dependent
dynamics.
In
this
paper,
I
present
stochastic
field
theory
for
eco-evolutionary
of
finite
one-dimensional
traits.
derive
equations
that
describe
evolution
densities,
frequencies,
mean
value
any
population.
These
recover
well-known
results
such
as
replicator-mutator
equation,
Price
gradient
limit.
For
populations,
intricate
interplay
between
natural
selection,
noise-induced
feedback,
neutral
genetic
drift
determining
evolutionary
trajectories.
My
methods
use
ideas
statistical
physics,
calculus
variations,
SPDEs,
providing
alternative
complement
measure-theoretic
martingale
approach
more
common
literature.
Language: Английский