Functional Ecology,
Год журнала:
2022,
Номер
36(10), С. 2544 - 2557
Опубликована: Июль 19, 2022
Abstract
Accurately
predicting
the
responses
of
organisms
to
novel
or
changing
environments
requires
development
ecologically‐appropriate
experimental
methodology
and
process‐based
models.
For
ectotherms,
thermal
performance
curves
(TPCs)
have
provided
a
useful
framework
describe
how
organismal
is
dependent
on
temperature.
However,
this
approach
often
lacks
mechanistic
underpinning,
which
limits
our
ability
use
TPCs
predictively.
Furthermore,
dependence
varies
across
traits,
also
limited
by
additional
abiotic
factors,
such
as
oxygen
availability.
We
test
central
prediction
recent
Hierarchical
Mechanisms
Thermal
Limitation
(HMTL)
Hypothesis
proposes
that
natural
hypoxia
exposure
will
reduce
maximal
cause
TPC
for
whole‐organism
become
more
symmetrical.
quantified
two
traits
used
fitness
proxies,
sprint
speed
aerobic
scope,
in
lizards
under
conditions
normoxia
high‐elevation
hypoxia.
In
line
with
predictions
HMTL,
anaerobically
fuelled
was
unaffected
acute
while
scope
became
shorter
This
change
shape
resulted
from
both
maximum
optimal
temperature
being
reduced
predicted.
Following
these
results,
we
present
mathematical
framework,
call
Temperature–Oxygen
Performance
Surfaces,
quantify
interactive
effects
HMTL
hypothesis.
transferrable
levels
organization
allow
ectotherms
respond
combinations
other
providing
tool
time
rapidly
environmental
conditions.
Read
free
Plain
Language
Summary
article
Journal
blog.
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Год журнала:
2021,
Номер
96(5), С. 1816 - 1835
Опубликована: Апрель 27, 2021
Mountain
areas
are
biodiversity
hotspots
and
provide
a
multitude
of
ecosystem
services
irreplaceable
socio-economic
value.
In
the
European
Alps,
air
temperature
has
increased
at
rate
about
0.36°C
decade-1
since
1970,
leading
to
glacier
retreat
significant
snowpack
reduction.
Due
these
rapid
environmental
changes,
this
mountainous
region
is
undergoing
marked
changes
in
spring
phenology
elevational
distribution
animals,
plants
fungi.
Long-term
monitoring
Alps
offers
an
excellent
natural
laboratory
synthetize
climate-related
for
large
array
taxonomic
groups.
This
review
assesses
climatic
that
have
occurred
across
during
recent
decades,
phenological
upslope
shifts
plants,
animals
fungi
from
evidence
published
papers
previously
unpublished
data.
Our
provides
been
shifting
earlier
past
four
decades
ranges
show
upwards
trend
most
groups
which
there
sufficient
The
first
observed
activity
reptiles
terrestrial
insects
(e.g.
butterflies)
shifted
significantly
earlier,
average
-5.7
-6.0
days
,
respectively.
By
contrast,
semi-aquatic
dragonflies
damselflies)
amphibians,
as
well
singing
or
laying
dates
resident
birds,
smaller
non-significant
trends
ranging
-1.0
+1.3
.
Leaf-out
flowering
woody
herbaceous
showed
intermediate
with
mean
values
-2.4
-2.8
Regarding
species
distribution,
(N
=
2133
species)
elevation
maximum
abundance
(optimum
elevation)
similar
pace
(on
between
+18
+25
m
)
but
substantial
differences
among
taxa.
For
example,
optimum
upward
by
+36.2
+32.7
whereas
it
was
estimated
range
+11
insects,
ferns,
birds
wood-decaying
upper
limit
(leading
edge)
also
clearly
higher
(from
+47
+91
than
+17
+40
),
except
(-4.7
).
Although
regional
land-use
could
partly
explain
some
trends,
consistent
shift
found
almost
all
taxa
over
likely
reflecting
strong
warming
receding
snow
cover
taken
place
decades.
However,
possible
exception
organisms
seems
currently
too
slow
track
isotherm
induced
climate
warming,
+62
+71
1970.
light
results,
interactions
change
multiple
trophic
levels
through
spatial
mismatches.
nascent
research
field
deserves
greater
attention
allow
us
anticipate
structural
functional
better
level.
Nature Ecology & Evolution,
Год журнала:
2023,
Номер
7(3), С. 405 - 413
Опубликована: Янв. 26, 2023
Abstract
High-elevation
ecosystems
are
among
the
few
worldwide
that
not
yet
heavily
invaded
by
non-native
plants.
This
is
expected
to
change
as
species
expand
their
range
limits
upwards
fill
climatic
niches
and
respond
ongoing
anthropogenic
disturbances.
Yet,
whether
how
quickly
these
changes
happening
has
only
been
assessed
in
a
isolated
cases.
Starting
2007,
we
conducted
repeated
surveys
of
plant
distributions
along
mountain
roads
11
regions
from
5
continents.
We
show
over
5-
10-year
period,
number
increased
on
average
approximately
16%
per
decade
across
regions.
The
direction
magnitude
upper
limit
shifts
depended
elevation
all
Supported
null-model
approach
accounting
for
chance
alone,
found
greater
than
upward
at
lower/mid
elevations
least
seven
After
dependence,
significant
were
detected
further
three
(revealing
evidence
10
regions).
Together,
our
results
environments
becoming
increasingly
exposed
biological
invasions,
emphasizing
need
monitor
prevent
potential
biosecurity
issues
emerging
high-elevation
ecosystems.
Ecography,
Год журнала:
2020,
Номер
43(11), С. 1571 - 1590
Опубликована: Сен. 29, 2020
Coincident
with
recent
global
warming,
species
have
shifted
their
geographic
distributions
to
cooler
environments,
generally
by
moving
along
thermal
axes
higher
latitudes,
elevations
or
deeper
waters.
While
these
shifts
allow
organisms
track
niche,
three
also
covary
non‐climatic
abiotic
factors
that
could
pose
challenges
range‐shifting
plants
and
animals.
Such
novel
conditions
present
an
unappreciated
pitfall
for
researchers
–
from
both
empirical
predictive
viewpoints
who
study
the
redistribution
of
under
climate
change.
Climate,
particularly
temperature,
is
often
assumed
be
primary
factor
in
limiting
distributions,
decades
biology
research
made
correlative
mechanistic
understanding
temperature
most
accessible
commonly
used
response
any
factor.
Receiving
far
less
attention,
however,
gradients
oxygen,
light,
pressure,
pH
water
availability
latitude,
elevation,
and/or
ocean
depth,
show
strong
physiological
behavioral
adaptations
variables
within
historic
ranges.
Here,
we
discuss
how
may
disrupt
climate‐driven
range
shifts,
as
well
variety
use
overcome
conditions,
emphasizing
which
taxa
limited
this
capacity.
We
highlight
need
scientists
extend
incorporate
non‐climatic,
create
a
more
ecologically
relevant
animals
interact
environment,
face
demonstrate
additional
can
integrated
into
change
better
inform
expectations
provide
recommendations
addressing
challenge
predicting
future
environments.
Global Ecology and Biogeography,
Год журнала:
2021,
Номер
30(4), С. 784 - 794
Опубликована: Янв. 27, 2021
Abstract
Aim
In
response
to
warming,
species
are
shifting
their
ranges
towards
higher
elevations.
These
elevational
range
shifts
have
been
documented
in
a
variety
of
taxonomic
groups
across
latitude.
However,
the
rate
and
direction
warming
vary,
potentially
as
consequence
variation
traits
elevation.
Specifically,
diurnal
seasonal
climates
often
more
variable
at
elevations,
which
results
high‐elevation
that
broader
thermal
physiologies
relative
low‐elevation
species.
High‐elevation
generalists
might
not
need
move
far
track
niche
specialists.
We
investigated
whether
rates
varied
systematically
with
increasing
elevation
taxa
regions.
Location
Sixteen
montane
regions
world‐wide.
Time
period
1850–2013.
Taxon
Nine
hundred
eighty‐seven
plants
animals.
Methods
gathered
published
data
on
from
20
transect
studies
comparing
historical
recent
distributions
examined
how
changed
we
performed
meta‐analysis
calculate
pooled
effect
shifts.
Results
found
show
negative
relationship
such
moved
upslope
farther
than
same
transect.
This
finding
was
primarily
result
upper
limits.
also
28%
shifted
downslope
against
predictions,
but
did
Main
conclusions
Idiosyncratic
will
significantly
alter
ecological
communities,
home
some
greatest
biodiversity
Earth.
Our
demonstrate
vary
be
differences
along
gradients.
Global Change Biology,
Год журнала:
2020,
Номер
26(12), С. 6667 - 6684
Опубликована: Сен. 28, 2020
Abstract
Climate
change
is
altering
conditions
in
high‐elevation
streams
worldwide,
with
largely
unknown
effects
on
resident
communities
of
aquatic
insects.
Here,
we
review
the
challenges
climate
for
insects
and
how
they
may
respond,
focusing
current
gaps
knowledge.
Understanding
predicting
future
impacts
will
depend
progress
three
areas.
First,
need
better
descriptions
multivariate
physical
interactions
among
streams,
which
include
low
but
rising
temperatures,
oxygen
supply
increasing
demand,
high
exposure
to
ultraviolet
radiation,
ionic
strength,
variable
shifting
flow
regimes.
These
factors
are
often
studied
isolation
even
though
covary
nature
interact
space
time.
Second,
a
mechanistic
understanding
drive
performance
individual
Environment‐performance
links
mediated
by
physiology
behavior,
poorly
known
taxa.
Third,
define
scope
importance
potential
responses
across
levels
biological
organization.
Short‐term
defined
tolerances
individuals,
their
capacities
perform
adequately
range
conditions,
behaviors
used
exploit
local,
fine‐scale
variation
abiotic
factors.
Longer
term
change,
however,
plasticity
evolution
populations.
Whether
can
mitigate
climatic
risks
via
these
pathways
unknown.
Global Change Biology,
Год журнала:
2024,
Номер
30(4)
Опубликована: Апрель 1, 2024
Abstract
Ecological
and
evolutionary
theories
have
proposed
that
species
traits
should
be
important
in
mediating
responses
to
contemporary
climate
change;
yet,
empirical
evidence
has
so
far
provided
mixed
for
the
role
of
behavioral,
life
history,
or
ecological
characteristics
facilitating
hindering
range
shifts.
As
such,
utility
trait‐based
approaches
predict
redistribution
under
change
been
called
into
question.
We
develop
perspective,
supported
by
evidence,
trait
variation,
if
used
carefully
can
high
potential
utility,
but
past
analyses
many
cases
failed
identify
an
explanatory
value
not
fully
embracing
complexity
First,
we
discuss
relevant
theory
linking
shift
processes
at
leading
(expansion)
trailing
(contraction)
edges
distributions
highlight
need
clarify
mechanistic
basis
approaches.
Second,
provide
a
brief
overview
shift–trait
studies
new
opportunities
integration
consider
range‐specific
intraspecific
variability.
Third,
explore
circumstances
which
environmental
biotic
context
dependencies
are
likely
affect
our
ability
contribution
processes.
Finally,
propose
revealing
shaping
may
require
accounting
methodological
variation
arising
from
estimation
process
as
well
addressing
existing
functional,
geographical,
phylogenetic
biases.
series
considerations
more
effectively
integrating
extrinsic
factors
research.
Together,
these
analytical
promise
stronger
predictive
understanding
help
society
mitigate
adapt
effects
on
biodiversity.