pyMANGA: A modular, open and extendable software platform for modeling of forest and vegetation dynamics
Environmental Modelling & Software,
Год журнала:
2024,
Номер
174, С. 105973 - 105973
Опубликована: Фев. 10, 2024
Agent-based
vegetation
models
are
a
widely
used
tool
in
ecology,
for
example,
to
understand
and
predict
the
response
of
environmental
change.
Models
based
on
well-established
descriptions
processes
such
as
establishment,
growth
mortality.
However,
they
often
developed
from
scratch,
which
can
be
inefficient.
Here
we
present
pyMANGA,
free
open-source
platform
plant
modelers.
pyMANGA's
modular
design
allows
combination
different
concepts
theories
how
plants
establish,
grow
or
compete
above-
below-ground
resource
availability.
New
alternative
modules
describing,
e.g.,
competition
facilitation,
easily
added.
The
interchangeability
supports
systematic
testing
hypotheses,
dominant
soil-plant
feedback
loops.
further
thorough
benchmarking
strategy
maintain
pyMANGA
compare
with
levels
abstraction
complexity.
Язык: Английский
Theory for and from agent-based modelling: Insights from a virtual special issue and a vision
Environmental Modelling & Software,
Год журнала:
2024,
Номер
178, С. 106088 - 106088
Опубликована: Май 21, 2024
The
Virtual
Special
Issue
"Agents
for
Theory"
discusses
theory
development
using
agent-based
models
(ABMs).
six
contributions
focus
on
how
the
word
"theory"
is
used
in
ABM
literature,
reviews
of
ABMs
should
be
conducted
to
gain
general
insights,
even
conceptualisation
can
help
transform
heuristic
theories
into
scientific
ones,
context-dependent
choice
decision
better
justified,
reusable
building
blocks
(RBBs)
could
support
development,
and
a
modular
framework
RBBs
identify
solutions.
Overall,
making
that
go
system
dynamics
come
out
are
interrelated,
so
micro-macro
perspective
attempt
reproduce
patterns
at
both
levels
simultaneously
way
forward.
Theory
requires
clearer
communication
common
language,
reference
patterns,
more
detailed
model
analysis
testing.
Язык: Английский
Accelerating social science knowledge production with the coordinated open-source model
Quality & Quantity,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 8, 2025
Abstract
With
the
growing
complexity
of
knowledge
production,
social
science
must
accelerate
and
open
up
to
maintain
explanatory
power
responsiveness.
This
goal
requires
redesigning
front
end
research
build
an
expandable
infrastructure
that
stimulates
broad
collaborations,
enables
breaking
down
inertia
path
dependencies
conventional
approaches,
boosts
discovery
innovation.
article
discusses
coordinated
open-source
model
as
a
promising
organizational
scheme
can
supplement
in
certain
areas.
The
offers
flexibility,
decentralization,
community-based
development
aligns
with
ideas,
such
reproducibility
transparency.
Similar
solutions
have
been
successfully
applied
natural
science,
but
needs
catch
up.
I
present
model’s
design
consider
its
potential
limitations
(e.g.,
regarding
development,
sustainability,
coordination).
also
discuss
applications
various
areas,
including
case
study
survey
harmonization
project
Comparative
Panel
File.
Язык: Английский
Model perpetuation by designing and documenting models and workflows so that they can be reused and further developed by others: The case of multiple stressors in ecology
Ecological Modelling,
Год журнала:
2025,
Номер
501, С. 111029 - 111029
Опубликована: Янв. 28, 2025
Язык: Английский
Do urban digital twins need agents?
Environment and Planning B Urban Analytics and City Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 7, 2025
The
urban
digital
twin
(UDT)
is
derived
from
the
original
digital-twin
concept
of
a
representation
physical
assets.
This
has
left
social
component
city
underrepresented
in
UDTs.
Here,
we
discuss
what
this
means
for
current
maturity
stage
UDTs
and
why
better
representing
human
behaviour
may
diversify
possibilities
to
support
different
types
planning.
We
contemplate
operationalizing
by
agent-based
models
(ABMs)
integrated
with
illustrate
two
concrete
examples
simulating
stress
safety
perception
public
spaces.
One
example
shows
idea
UDT
as
live
data
repository
ABMs,
ABM
adding
dynamism,
other
feedback
between
city,
UDT.
several
epistemological,
conceptual,
technical,
ethical
challenges
that
be
involved
integration.
conclude
future
agenda
promote
(1)
abandonment
vision
highly
detailed
mirror
(2)
fit
sectoral
(strategic)
addition
operational
planning,
(3)
inclusion
behavioural
processes
incorporating
(4)
culture
cumulative
research
using
structured
guided
frameworks
reusable
building
blocks,
(5)
ABMs
explicit
purposes
allow
fit-for-purpose
selection
UDTs,
(6)
explicitly
addressing
epistemic,
normative,
moral
responsibilities.
Thus,
though
including
agents
at
some
point
solution
(currently
lacking)
perspective
on
role
humans
shaping
being
shaped
reconsiderations
communities
need
take
place
first.
Язык: Английский
The need for an individual-based global change ecology
Опубликована: Март 26, 2025
Biodiversity
loss
and
widespread
ecosystem
degradation
are
among
the
most
pressing
challenges
of
our
time,
requiring
urgent
action.
Yet
understanding
their
causes
remains
limited
because
prevailing
ecological
concepts
approaches
often
overlook
underlying
complex
interactions
individuals
same
or
different
species,
interacting
with
each
other
environment.
We
propose
a
paradigm
shift
in
science,
moving
from
simplifying
frameworks
that
use
population
community
averages
to
an
integrative
approach
recognizes
individual
organisms
as
fundamental
agents
change.
The
urgency
biodiversity
crisis
requires
such
advance
ecology
towards
predictive
science
by
elucidating
causal
mechanisms
linking
variation
adaptive
behaviour
emergent
properties
populations,
communities,
ecosystems,
human
interventions.
Recent
advances
computational
technologies,
sensors,
analytical
tools
now
offer
unprecedented
opportunities
overcome
past
lay
foundation
for
truly
integrated
Individual-Based
Global
Change
Ecology
(IBGCE).
Unravelling
potential
role
variability
global
change
impact
analyses
will
require
systematic
combination
empirical,
experimental
modelling
studies
across
systems,
while
taking
into
account
multiple
drivers
interactions.
Key
priorities
include
refining
theoretical
frameworks,
developing
benchmark
models
standardized
toolsets,
systematically
incorporating
empirical
field
work,
experiments
models.
emerging
synergies
between
individual-based
modelling,
big
data
approaches,
machine
learning
hold
great
promise
addressing
inherent
complexity
ecosystems.
Each
step
development
IBGCE
must
balance
perspective
parsimony,
efficiency,
feasibility.
aims
unravel
predict
dynamics
Anthropocene
through
comprehensive
study
organisms,
It
provide
critical
considering
future
conservation
sustainability
management,
individual-to-ecosystem
pathways
feedbacks.
Язык: Английский
Computational Methods in Landscape Ecology
Current Landscape Ecology Reports,
Год журнала:
2024,
Номер
10(1)
Опубликована: Дек. 16, 2024
Abstract
Purpose
of
Review
Landscapes
can
be
defined
as
mosaics
different
land
covers,
habitats,
ecosystems,
or
land-use
systems.
The
link
between
spatial
heterogeneous
patterns
and
ecological
processes
is
the
core
concept
in
research
field
landscape
ecology.
Nowadays,
advanced
computational
methods
are
essential
to
due
its
cross-disciplinary
nature,
increasing
availability
data,
complexity
Recent
Findings
This
review
provides
an
overview
recent
developments
that
have
We
focus
on
key
topics
such
patterns,
connectivity,
genetics,
sampling,
simulations
modeling,
planning.
Summary
highlights
innovations,
challenges,
potential
future
directions
field,
emphasizing
role
addressing
complex
questions.
Язык: Английский
Beyond guides, protocols and acronyms: Adoption of good modelling practices depends on challenging academia's status quo in ecology
Ecological Modelling,
Год журнала:
2024,
Номер
496, С. 110829 - 110829
Опубликована: Авг. 17, 2024
Язык: Английский
Exploiting Behavior Sequences for Multi-Agent Interactive Decision Making Through Variational Autoencoder
Опубликована: Янв. 1, 2024
Язык: Английский
A Platform for Plant-Growth Modelers: Python Models for Agent-Based Resource Gathering (Pymanga)
Опубликована: Янв. 1, 2023
Agent-based
vegetation
models
are
a
widely
used
tool
in
ecology,
for
example,
to
understand
and
predict
the
response
of
environmental
change.
Models
based
on
wellestablished
descriptions
processes
such
as
establishment,
growth
mortality.
However,
they
often
developed
from
scratch,
which
can
be
inefficient.
Here
we
present
pyMANGA,
free
open-source
platform
plant
modelers.
pyMANGA’s
modular
design
allows
coexistence
different
concepts
how
plants
grow,
establish
or
compete
above-
below-ground
resource
availability.
New
alternative
modules
describing,
e.g.,
competition
facilitation,
easily
added.
The
interchangeability
supports
systematic
testing
hypotheses,
dominant
soil-plant
feedback
loops.
further
thorough
benchmarking
strategy
maintain
pyMANGA
compare
with
levels
abstraction
complexity.
Язык: Английский