Assembly Graph as the Rosetta Stone of Ecological Assembly
Environmental Microbiology,
Год журнала:
2025,
Номер
27(1)
Опубликована: Янв. 1, 2025
Ecological
assembly-the
process
of
ecological
community
formation
through
species
introductions-has
recently
seen
exciting
theoretical
advancements
across
dynamical,
informational,
and
probabilistic
approaches.
However,
these
theories
often
remain
inaccessible
to
non-theoreticians,
they
lack
a
unifying
lens.
Here,
I
introduce
the
assembly
graph
as
an
integrative
tool
connect
emerging
theories.
The
visually
represents
dynamics,
where
nodes
symbolise
combinations
edges
represent
transitions
driven
by
introductions.
Through
lens
graphs,
review
how
processes
reduce
uncertainty
in
random
arrivals
(informational
approach),
identify
graphical
properties
that
guarantee
coexistence
examine
class
dynamical
models
constrain
topology
graphs
(dynamical
quantify
transition
probabilities
with
incomplete
information
(probabilistic
approach).
To
facilitate
empirical
testing,
also
methods
decompose
complex
into
smaller,
measurable
components,
well
computational
tools
for
deriving
graphs.
In
sum,
this
math-light
progress
aims
catalyse
research
towards
predictive
understanding
assembly.
Язык: Английский
Assembly Graph as the Rosetta Stone of Ecological Assembly
Опубликована: Авг. 2, 2024
Ecological
assembly---the
process
of
ecological
community
formation
through
species
introductions---has
recently
seen
exciting
theoretical
advancements
across
dynamical,
informational,
and
probabilistic
approaches.
However,
these
theories
often
remain
inaccessible
to
non-theoreticians,
they
lack
a
unifying
lens.
Here,
I
introduce
the
assembly
graph
as
an
integrative
tool
connect
emerging
theories.
The
visually
represents
dynamics,
where
nodes
symbolize
combinations
edges
represent
transitions
driven
by
introductions.
Through
lens
graphs,
review
how
processes
reduce
uncertainty
in
random
arrivals
(informational
approach),
identify
graphical
properties
that
guarantee
coexistence
examine
class
dynamical
models
constrain
topology
graphs
(dynamical
quantify
transition
probabilities
with
incomplete
information
(probabilistic
approach).
To
facilitate
empirical
testing,
also
methods
decompose
complex
into
smaller,
measurable
components,
well
computational
tools
for
deriving
graphs.
In
sum,
this
math-light
progress
aims
catalyze
research
towards
predictive
understanding
assembly.
Язык: Английский