Inland Waters,
Journal Year:
2021,
Volume and Issue:
12(1), P. 107 - 120
Published: Jan. 18, 2021
Near-term,
iterative
ecological
forecasts
with
quantified
uncertainty
have
great
potential
for
improving
lake
and
reservoir
management.
For
example,
if
managers
received
a
forecast
indicating
high
likelihood
of
impending
impairment,
they
could
make
decisions
today
to
prevent
or
mitigate
poor
water
quality
in
the
future.
Increasing
number
automated,
real-time
freshwater
used
management
requires
integrating
interdisciplinary
expertise
develop
framework
that
seamlessly
links
data,
models,
cyberinfrastructure,
as
well
collaborations
ensure
are
embedded
into
decision-making
workflows.
The
goal
this
study
is
advance
implementation
near-term,
We
first
provide
an
overview
FLARE
(Forecasting
Lake
And
Reservoir
Ecosystems),
forecasting
we
developed
applied
drinking
assist
management,
open-source
option
interested
users.
scenario
simulating
different
interventions
inform
manager
decision-making.
Second,
share
lessons
learned
from
our
experience
developing
running
over
2
years
other
projects.
specifically
focus
on
how
develop,
implement,
maintain
system
active
Our
break
down
barriers
researchers,
aim
globally.
Annual Review of Ecology Evolution and Systematics,
Journal Year:
2012,
Volume and Issue:
43(1), P. 429 - 448
Published: Sept. 14, 2012
The
seasonal
succession
of
plankton
is
an
annually
repeated
process
community
assembly
during
which
all
major
external
factors
and
internal
interactions
shaping
communities
can
be
studied.
A
quarter
a
century
ago,
the
state
this
understanding
was
described
by
verbal
ecology
group
(PEG)
model.
It
emphasized
role
physical
factors,
grazing
nutrient
limitation
for
phytoplankton,
food
fish
predation
zooplankton.
Although
originally
targeted
at
lake
ecosystems,
it
also
adopted
marine
ecologists.
Since
then,
suite
ecological
previously
underestimated
in
importance
have
become
research
foci:
overwintering
key
organisms,
microbial
web,
parasitism,
quality
as
limiting
factor
extended
higher
order
predators.
review
impact
these
novel
on
reveals
limited
effects
gross
biomass
patterns,
but
strong
species
replacements.
Journal of Limnology,
Journal Year:
2014,
Volume and Issue:
73(s1)
Published: April 8, 2014
Freshwater
ecosystems
and
their
biodiversity
are
presently
seriously
threatened
by
global
development
population
growth,
leading
to
increases
in
nutrient
inputs
intensification
of
eutrophication-induced
problems
receiving
fresh
waters,
particularly
lakes.
Climate
change
constitutes
another
threat
exacerbating
the
symptoms
eutrophication
species
migration
loss.
Unequivocal
evidence
climate
impacts
is
still
highly
fragmented
despite
intensive
research,
part
due
variety
uncertainty
models
underlying
emission
scenarios
but
also
different
approaches
applied
study
its
effects.
We
first
describe
strengths
weaknesses
multi-faceted
that
available
for
elucidating
effects
lakes,
including
space-for-time
substitution,
time
series,
experiments,
palaeoecology
modelling.
Reviewing
combined
results
from
studies
based
on
various
approaches,
we
likely
changes
biological
communities,
trophic
dynamics
ecological
state
further
discuss
potential
mitigation
adaptation
measures
counteract
lakes
and,
finally,
highlight
some
future
challenges
face
improve
our
capacity
successful
prediction.
Geoscientific model development,
Journal Year:
2019,
Volume and Issue:
12(1), P. 473 - 523
Published: Jan. 29, 2019
Abstract.
The
General
Lake
Model
(GLM)
is
a
one-dimensional
open-source
code
designed
to
simulate
the
hydrodynamics
of
lakes,
reservoirs,
and
wetlands.
GLM
was
developed
support
science
needs
Global
Ecological
Observatory
Network
(GLEON),
network
researchers
using
sensors
understand
lake
functioning
address
questions
about
how
lakes
around
world
respond
climate
land
use
change.
scale
diversity
types,
locations,
sizes,
expanding
observational
datasets
created
need
for
robust
community
model
dynamics
with
sufficient
flexibility
accommodate
range
scientific
management
relevant
GLEON
community.
This
paper
summarizes
basis
numerical
implementation
algorithms,
including
details
sub-models
that
surface
heat
exchange
ice
cover
dynamics,
vertical
mixing,
inflow–outflow
dynamics.
We
demonstrate
suitability
different
types
vary
substantially
in
their
morphology,
hydrology,
climatic
conditions.
supports
dynamic
coupling
biogeochemical
ecological
modelling
libraries
integrated
simulations
water
quality
ecosystem
health,
options
integration
other
environmental
models
are
outlined.
Finally,
we
discuss
utilities
analysis
outputs
uncertainty
assessments,
operation
within
distributed
cloud-computing
environment,
as
tool
learning
participants.
Ecological Modelling,
Journal Year:
2019,
Volume and Issue:
411, P. 108784 - 108784
Published: Sept. 3, 2019
Understanding
and
predicting
the
ecological
consequences
of
different
management
alternatives
is
becoming
increasingly
important
to
support
environmental
decisions.
Ecological
models
could
contribute
such
predictions,
but
in
past
this
was
often
not
case.
are
developed
within
research
projects
rarely
used
for
practical
applications.
In
synthesis
paper,
we
discuss
how
strengthen
role
modeling
supporting
decisions
with
a
focus
on
methodological
aspects.
We
address
mainly
modellers
also
potential
users
results.
Various
approaches
can
be
predict
response
ecosystems
anthropogenic
interventions,
including
mechanistic
models,
statistical
machine
learning
approaches.
Regardless
chosen
approach,
outline
better
align
decision
making
process,
identify
six
requirements
that
believe
increase
usefulness
support,
especially
if
need
justified
public.
These
cover:
(i)
understanding
regarding
causality,
(ii)
alignment
model
input
output
decision,
(iii)
appropriate
spatial
temporal
resolutions,
(iv)
uncertainty
quantification,
(v)
sufficient
predictive
performance,
(vi)
transparent
communication.
challenges
synthesize
suggestions
addressing
these
points.
JAMA Psychiatry,
Journal Year:
2024,
Volume and Issue:
81(6), P. 618 - 618
Published: April 3, 2024
Importance
Psychiatric
disorders
may
come
and
go
with
symptoms
changing
over
a
lifetime.
This
suggests
the
need
for
paradigm
shift
in
diagnosis
treatment.
Here
we
present
fresh
look
inspired
by
dynamical
systems
theory.
theory
is
used
widely
to
explain
tipping
points,
cycles,
chaos
complex
ranging
from
climate
ecosystems.
Observations
In
view,
propose
healthy
state
has
basin
of
attraction
representing
its
resilience,
while
are
alternative
attractors
which
system
can
become
trapped.
Rather
than
an
immutable
trait,
resilience
this
approach
property.
Recent
work
demonstrated
universality
generic
indicators
that
now
employed
globally
monitor
risks
collapse
systems,
such
as
tropical
rainforests
elements
system.
Other
tools
ecology
science
infer
causality
time
series.
Moreover,
experiences
ecological
restoration
confirm
theoretical
prediction
under
some
conditions,
short
interventions
invoke
long-term
success
when
they
flip
into
attraction.
All
implies
practical
applications
psychiatry,
discussed
part
2
article.
Conclusions
Relevance
Work
field
points
novel
ways
inferring
quantifying
Those
approaches
have
been
tried
tested
range
systems.
The
same
help
monitoring
managing
well
psychiatric
disorders.
Ecology Letters,
Journal Year:
2012,
Volume and Issue:
15(6), P. 594 - 602
Published: April 18, 2012
Abstract
Mechanistic
understanding
of
consumer‐resource
dynamics
is
critical
to
predicting
the
effects
global
change
on
ecosystem
structure,
function
and
services.
Such
severely
limited
by
mechanistic
models’
inability
reproduce
multiple
populations
interacting
in
field.
We
surpass
this
limitation
here
extending
general
network
theory
complex
a
specific
comprised
seasonal
biomass
production
patterns
pelagic
food
web
large,
well‐studied
lake.
parameterised
our
allometric
trophic
model
24
guilds
107
feeding
relationships
using
lake’s
initial
spring
biomasses
body‐masses.
Adding
activity
respiration,
detrital
loop,
minimal
abiotic
forcing,
prey
resistance
several
empirically
observed
rates
substantially
increased
model's
fit
size‐abundance
distribution.
This
process
illuminates
promising
approach
towards
improving
food‐web
dynamic
models
habitats.