Strengthening of negative density dependence mediates population decline at high temperatures
Lillie Stockseth,
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Zoey Neale,
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Volker H. W. Rudolf
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et al.
Ecology,
Journal Year:
2025,
Volume and Issue:
106(3)
Published: March 1, 2025
Abstract
While
temperature
is
well
known
to
affect
many
life
history
traits
of
ectothermic
organisms,
any
attempt
scale
up
these
individual‐level
processes
population‐level
consequences
must
assume
a
relationship
between
and
the
strength
per
capita
density
dependence.
Yet,
theory
has
made
contrasting
predictions
about
this
relationship,
we
still
need
clear
experimental
tests
determine
which
realized
in
natural
systems,
especially
heterotrophs.
Here,
experimentally
isolated
quantified
thermal
response
dependence
from
population
dynamics
herbivore
Daphnia
pulex
.
We
show
that
negative
increased
linearly
with
temperature,
doubling
every
7°C,
while
intrinsic
growth
rate
increase
showed
humped
shape
relationship.
This
difference
caused
humped‐shaped
carrying
capacity
dramatic
50%
decline
at
highest
temperature.
The
results
provide
sorely
needed
test
highlight
importance
accounting
for
responses
indirect
effects
only
emerge
level
when
forecasting
global
warming.
warming
temperatures
may
benefit
individual
(via
reproduction),
our
reveal
can
be
detriment
by
strengthening
density‐dependent
processes.
Language: Английский
A simplified approach for assessing the effects of temperature change on the stability of consumer–resource interactions
Oikos,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 10, 2025
Temperature
regulates
the
physiology
and
behaviour
of
organisms.
Thus,
changing
temperatures
impact
dynamics
species
interactions.
Considering
that
consumer–resource
interactions
underpin
ecological
communities,
impacts
warming
on
stability
have
been
extensively
studied.
However,
a
consensus
among
empirically
determined
warming–stability
relationships
clear
understanding
thereof
are
lacking.
We
investigate
these
systematically
by
developing
simplified
theoretical
framework
incorporates
empirical
data
in
three
steps.
define
terms
intrinsic
oscillations
to
avoid
comparing
disparate
notions,
use
one‐dimensional
metric
convert
all
empirically‐determined
thermal
dependence
parametersiations
into
single
function,
directly
compare
data.
The
utilises
Rosenzweig–MacArthur
model
with
saturating
consumer
functional
response,
which
has
employed
study
warming‐stability
is
applied
ectotherm
pairs.
find
support
for
four
different
relationships:
increases,
decreases,
hump‐shaped
or
U‐shaped
increasing
temperature.
diversity
relationships,
though
partly
attributable
context‐dependence,
fundamentally
caused
two
factors.
First,
relative
sensitivities
attack
rate
handling
time
and,
second,
scarcity
evidence
carrying
capacity.
former
depends
how
processes
measured,
may
not
be
consistent
across
studies.
latter
necessitates
application
assumptions,
difficult
verify,
yet
significant
relationships.
demonstrate
aspects
data,
such
as
aforementioned
factors
range
studied
temperatures,
can
alter
predicted
stability.
we
illustrate
our
facilitates
interactions,
from
producing
concise
overview
predictions
analysing
causes
deviation
these.
Language: Английский
Sustainable Intensification of Small-Scale Aquaculture Systems Depends on the Local Context and Characteristics of Producers
Published: Jan. 1, 2025
Language: Английский
Temperature dependence and genetic variation in resource acquisition strategies in a model freshwater plant
Functional Ecology,
Journal Year:
2024,
Volume and Issue:
38(7), P. 1600 - 1610
Published: April 29, 2024
Abstract
Understanding
how
competition
varies
with
environmental
stress
is
critical
to
anticipating
species
and
community
responses
rapid
change.
While
the
stress‐gradient
hypothesis
predicts
strength
of
decrease
increasing
stress,
our
understanding
limited
by
a
lack
mechanistic
resource‐use
traits
underlying
competitive
dynamics
respond
stress.
Here,
we
use
duckweeds
in
Lemna
complex
measure
phenotypic
genetic
variation
R*
(a
resource
acquisition
trait
representing
minimum
requirement
for
positive
population
growth)
high‐temperature
better
understand
alters
ability
essential
resources.
We
found
that
heat
increased
plants
nitrogen
acquisition.
Because
lower
values
predict
dominance
where
resources
are
limiting,
this
indicates
under
stressful,
high
temperatures,
could
experience
reduced
due
higher
required
sustain
growth
rates.
minimal
across
11
local
genotypes
within
complex,
indicating
selection
on
strategies
such
as
may
be
constrained
nature.
The
expression
was
further
suggesting
response
particularly
Contrary
predictions
drawn
from
gleaner–opportunist
trade‐off,
did
not
find
evidence
trade‐off
benign
conditions
or
Plants
(i.e.
rates
levels)
were
have
levels,
possibly
because
chosen
diverged
spp.
has
escaped
constraint.
Importantly,
work
increase
sensitivity
through
an
while
reducing
evolutionary
potential
traits.
This
study
acts
key
step
behind
resource‐limited
stressful
environments.
Read
free
Plain
Language
Summary
article
Journal
blog.
Language: Английский
From Skin to Gut: Understanding Microbial Diversity in Rana amurensis and R. dybowskii
Ming‐He Yang,
No information about this author
Hong Liu,
No information about this author
Hao Wang
No information about this author
et al.
Current Microbiology,
Journal Year:
2024,
Volume and Issue:
81(11)
Published: Sept. 13, 2024
Language: Английский
How interactions between temperature and resources scale from populations to communities
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 23, 2024
Abstract
Temperature
and
resources
are
fundamental
factors
that
determine
the
ability
of
organisms
to
function
survive,
while
influencing
their
development,
growth,
reproduction.
Major
bodies
ecological
theory
have
emerged,
largely
independently,
address
temperature
resource
effects.
It
remains
a
major
challenge
unite
these
ideas
interactive
effects
on
patterns
processes,
consequences
across
scales.
Here,
we
propose
simple,
physiologically
motivated
model
capturing
(including
inorganic
nutrients
light)
growth
microbial
ectotherms
over
multiple
From
this
derive
set
key
predictions.
At
population
level,
predict
(i)
limitation
thermal
traits,
(ii)
consistent
differences
in
sensitivity
auto-
heterotrophs,
(iii)
existence
specific
tradeoffs
between
traits
shape
performance
curves.
community
predictions
for
(iv)
how
by
light
can
change
relationship
productivity.
All
four
upheld,
based
our
analyses
large
compilation
laboratory
data
as
well
field
experiments
with
marine
phytoplankton
communities.
Collectively,
modeling
framework
provides
new
way
thinking
about
interplay
two
aspects
life
—
they
constrain
structure
properties
Providing
links
responses
simultaneous
changes
abiotic
is
essential
anticipating
multifaceted
global
change.
Language: Английский
Order matters: Autocorrelation of temperature dictates extinction risk in populations with nonlinear thermal performance
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 22, 2024
Abstract
Forecasting
the
risks
caused
by
climate
change
often
relies
upon
combining
species’
thermal
performance
curves
with
expected
statistical
distributions
of
experienced
temperatures,
without
consideration
for
order
in
which
those
temperatures
occur.
Such
averaging
approaches
may
obscure
disproportionate
impacts
that
extreme
events
like
heatwaves
have
on
fitness
and
survival.
In
this
study,
we
instead
incorporate
population
dynamical
modeling
to
elucidate
relationship
between
sequence
temperature
–
driven
temporal
autocorrelation
extinction
risk.
We
show
permutation
determines
extent
risk;
as
regimes
grow
warmer,
more
variable,
autocorrelated,
risk
grows
non-linearly
is
interactions
among
our
three
treatment
variables.
Given
mean,
variance,
are
changing
nuanced
ways
across
globe,
understanding
these
paramount
forecasting
Using
empirical
data
from
a
benchmarked
set
curves,
demonstrate
how
impacted
autocorrelation,
while
controlling
seasonal
diurnal
cycling.
Our
results
approach
offer
new
tools
testing
robustness
emphasize
importance
looking
beyond
temporally-blind
metrics,
mean
size
or
average
distributions,
impending
risks.
Language: Английский