Diversity and Distributions,
Год журнала:
2024,
Номер
30(10)
Опубликована: Авг. 7, 2024
Abstract
Aim
Shifting
climates
are
reshaping
ecosystems
globally
and
projected
to
intensify
over
the
coming
century.
Understanding
how
biodiversity
will
respond
these
shifts
is
crucial
for
developing
effective
climate
adaptation
measures.
We
generate
predictive
models
built
from
long‐term
data
hindcast
historic
fluctuations
in
small
mammal
abundances
as
they
have
responded
shifting
rainfall
fire
conditions.
This
set
serves
basis
predicting
historical
variations
(hindcasting)
abundances,
allowing
us
examine
their
responses
decadal
changes
conditions
within
our
study
landscape.
Location
Australia
(Victoria).
Taxa
Small
mammals
(
Mammalia
).
Time
Period
1970–2022.
Methods
abundance
was
surveyed
at
36
trapping
sites
modelled
against
coinciding
history,
vegetation
productivity
using
generalized
additive
mixed
models.
Six
species
were
then
used
modelling
variables
decades
preceding
monitoring
programme
(1970–2007).
Results
All
increased
with
higher
rainfall.
since
also
an
important
variable
all
but
one
model,
displaying
varying
time
fire.
Hindcasting
predictions
varied
some
showing
marked
declines
time.
Clear
trends
emerged,
indicating
more
volatile
population
response
intensified
extremes
21st
suggests
that
periods
of
less
frequent
events
period
supported
stable
abundances.
Conclusions
Native
show
distinct
sensitivity
combined
effects
drought
fire,
which
has
occurred
recent
times.
Intensification
drivers
caused
volatility
low
occurring
frequently.
Applied Vegetation Science,
Год журнала:
2024,
Номер
27(1)
Опубликована: Янв. 1, 2024
Abstract
Questions
Does
the
non‐native
evergreen
Chinese
windmill
palm
(
Trachycarpus
fortunei
)
affect
native
plant
community
and
forest
regeneration
in
deciduous
forests?
Are
effects
modulated
by
soil
moisture?
What
are
implications
for
management
nature
conservation?
Location
Broadleaved
low‐elevation
forests
on
southern
slope
of
Alps
across
Swiss–Italian
border
region.
Methods
We
compared
herbaceous
woody
composition,
species
richness,
Shannon
diversity
abundance
at
ten
sites
two
moisture
conditions
(six
mesic–moist
four
mesic–dry
sites).
Each
site
consisted
three
plots
measuring
400
m
2
along
a
gradient
T.
presence,
ranging
from
“dominant”,
to
“present
but
not
dominant”
“absent”.
Results
In
with
high
densities
,
richness
plants
recruiting
herb
shrub
layers
were
significantly
reduced
similar
where
is
absent
or
dominant.
However,
these
variables
did
differ
between
palm‐invaded
uninvaded
plots.
The
individuals
invaded
palms
control
either
type.
Conclusions
expect
detrimental
consequences
alluvial
few
more
widespread
non‐alluvial
forests.
recommend
multifaceted
management,
including
targeted
eradication
identified
as
hotspots
diversity,
accompanied
hands‐off
forests,
recognizing
ongoing
inevitable
“laurophyllisation”;
biome
shift
toward
mixed‐evergreen
that
may
increase
ecosystem
climate
resilience
under
climatic
warming.
EarthArXiv (California Digital Library),
Год журнала:
2023,
Номер
unknown
Опубликована: Апрель 14, 2023
Foliar
traits
such
as
specific
leaf
area
(SLA),
nitrogen
(N)
and
phosphorus
(P)
concentrations
play
an
important
role
in
plant
economic
strategies
ecosystem
functioning.
Various
global
maps
of
these
foliar
have
been
generated
using
statistical
upscaling
approaches
based
on
in-situ
trait
observations.Here,
we
intercompare
upscaled
at
0.5°
spatial
resolution
(six
for
SLA,
five
N,
three
P),
categorize
the
used
to
generate
them,
evaluate
with
estimates
from
a
database
vegetation
plots
(sPlotOpen).
We
disentangled
contributions
different
functional
types
(PFTs)
characterized
differences
between
two
metrics:
community
weighted
mean
(CWM)
top-of-canopy
(TWM).We
found
that
SLA
N
differ
drastically
fall
into
groups
are
almost
uncorrelated
(for
P
only
one
group
were
available).
The
primary
factor
explaining
is
exclusive
use
PFT
information
combined
remote
sensing-derived
land
cover
products
while
other
mostly
relied
environmental
predictors.
impact
TWM
or
CWM
patterns
was
considerably
smaller
than
including
information.
exhibit
considerable
similarities
strongly
driven
by
cover.
not
PFTs
show
lower
level
similarity
tend
be
individual
variables.Overall,
better
reproduce
between-PFT
distributions
plot-level
sPlotOpen
data,
performed
similarly
capturing
within-PFT
variation.
Upscaled
both
moderately
correlated
grid-cell-level
data
(R
=
0.2-0.6),
overall
higher
correlations
N.Our
findings
highlight
importance
explicitly
accounting
within-grid-cell
variation,
which
has
implications
applications
existing
future
efforts.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Июль 16, 2024
Abstract
We
present
a
methodology
designed
to
study
the
spatial
heterogeneity
of
climate
change.
Our
approach
involves
decomposing
observed
changes
in
temperature
patterns
into
multiple
trend,
cycle,
and
seasonal
components
within
spatio-temporal
model.
apply
this
method
test
hypothesis
global
long-term
trend
against
trends
distinct
biomes.
Applying
methodology,
we
delve
examination
change
Brazil—a
country
characterized
by
spectrum
zones.
The
findings
challenge
notion
revealing
presence
warming
effects,
more
accelerated
for
Amazon
Cerrado
biomes,
indicating
composition
between
deforestation
determining
permanent
patterns.
Wiley Interdisciplinary Reviews Climate Change,
Год журнала:
2025,
Номер
16(2)
Опубликована: Март 1, 2025
ABSTRACT
The
poleward
expansion
of
tropical
cyclones
(TCs)
inevitably
triggers
unprecedented
ecological
consequences
for
cool‐temperate
and
boreal
forests,
including
shifts
in
species
distribution,
global
carbon
dynamics,
or
forest
policies.
However,
our
current
understanding
the
impact
TCs'
into
new
regions
is
limited
lacks
attention
by
both,
media
research
community,
compared
to
on
(sub‐)
forests.
Shifts
TC
activity
are
expected
pose
a
considerable
threat
extensive
areas
globally
under
climate
change.
Nevertheless,
we
suggest
that
TCs
should
not
only
be
perceived
as
destructive
weather
phenomena
but
also
vehicle
(i)
facilitating
migration
temperate
southern
forests
(ii)
mitigating
change
ecosystems.
Hence,
it
vital
establish
coherent
long‐term
large‐scale
capture
unique
ongoing
(and
currently
overlooked)
processes
induced
expansion,
which
may
lead
complex
transition
dynamic.
Functional
diversity
is
increasingly
used
alongside
taxonomic
to
describe
populations
and
communities
in
ecology.
Indeed,
functional
metrics
allow
researchers
summarise
complex
occupancy
patterns
space
and/or
time
across
response
various
stressors.
In
other
words,
investigating
what,
how,
why
something
changing
an
ecosystem
by
looking
at
changes
of
under
a
certain
process
through
specific
mechanism.
However,
as
the
methods
increases,
it
often
not
directly
clear
which
metric
more
readily
appropriate
for
question.
We
studied
ability
different
recover
signals
from
processes
linked
common
assembly
mechanisms
community
ecology,
such
environmental
filtering,
competitive
exclusion,
equalising
fitness,
facilitation.
Using
both
simulated
data
empirical
dataset
affected
nuanced
mechanisms,
we
tested
effectiveness
or
changes.
show
that
perform
differently
when
trying
capture
approximations
relative
no
mechanism
all
(null).
For
example,
competition
was
harder
disentangle
null
compared
facilitation
our
simulations.
This
emphasises
importance
using
one‐size‐fits‐all
metric.
Instead,
should
carefully
consider
test
whether
particular
will
be
effective
capturing
pattern
interest.
Abstract
Terrestrial
biomes,
defined
by
unique
climatic
conditions
and
evolutionary
histories,
are
increasingly
vulnerable
to
global
climate
change.
This
study
evaluates
the
exposure
of
Earth's
14
terrestrial
biomes
change
characterizing
their
boundaries
using
n
‐dimensional
probabilistic
methods.
We
analyzed
precipitation
temperature
data
from
Global
200
project,
combined
with
bioclimatic
variables
models,
assess
changes
across
historical,
present,
future
scenarios
(Shared
Socioeconomic
Pathways:
SSP1‐2.6,
SSP3‐7.0,
SSP5‐8.5).
Using
NicheROVER
NicheA,
we
quantified
overlap
projected
non‐overlapping
regions
under
scenarios.
Our
results
reveal
significant
specificity
in
ranges,
Flooded
Grasslands
&
Savannas,
Tropical
Subtropical
Dry
Broadleaf
Forests,
Mangroves
identified
as
most
exposed
biomes.
Geographic
projections
for
2040
highlight
high‐exposure
near
equator,
including
Neotropics,
Central
Northern
Africa,
Southern
Asia,
Oceania,
Antarctica.
These
intersect
2230
9091
protected
areas
SSP3‐7.0
SSP5‐8.5
scenarios,
respectively.
underscores
importance
enhance
ecosystem
resilience
estimates
inform
biodiversity
conservation
strategies.
By
integrating
niche
modeling
approaches,
provide
a
framework
identifying
findings
emphasize
need
targeted
efforts,
policy
interventions,
fine‐scale
analyses
mitigate
impacts
on
biodiversity,
agriculture,
human
health.
conclude
that
understanding
biome‐specific
is
critical
addressing
crisis
guiding
adaptive
management
regions.