Agricultural and Forest Meteorology,
Journal Year:
2024,
Volume and Issue:
356, P. 110188 - 110188
Published: Aug. 13, 2024
Tropical
mountain
forests
are
important
biodiversity
hotspots,
which
host
disproportionally
high
number
of
endemic
species.
However,
the
potential
impacts
climate
change
in
these
areas
uncertain.
A
key
factor
contributing
to
this
knowledge
gap
is
that
climatic
conditions
experienced
by
organisms
inside
tropical
(i.e.,
microclimate)
remain
largely
understudied.
Due
effects
topography
and
vegetation,
understory
microclimate
can
differ
substantially
from
free-air
macroclimate).
This
study
aimed
at
unveiling
vegetation
structural
characteristics
microclimatic
patterns
along
an
elevational
gradient
a
highly
diverse
ecosystem
(Mount
Kenya),
combining
hundreds
terrestrial
laser
scanning
measurements
with
two-year
time-series
observations.
Our
results
showed
macroclimate
temperature
elevation
contributed
>90
%
variability
our
area.
The
influence
soil
moisture
regulating
differed
between
day
night,
as
well
different
periods
year.
contribution
variation
during
was
two
times
higher
than
night.
Soil
had
cooling
effect
on
daytime,
while
opposite
pattern
observed
These
differences
affected
lapse
rates,
clearly
seasonal
fluctuation
diurnal
but
relatively
stable
night
periods.
range
regulated
combined
structure,
elevation,
moisture.
Finally,
we
were
able
detect
subtle
changes
forest
structure
caused
historical
selective
logging.
resulted
legacy
microclimate,
thus
demonstrating
human-induced
disturbances
have
long-lasting
ecosystems.
improve
understanding
African
forests,
how
environmental
factors.
New Phytologist,
Journal Year:
2021,
Volume and Issue:
233(1), P. 219 - 235
Published: Oct. 21, 2021
Summary
Forests
harbour
large
spatiotemporal
heterogeneity
in
canopy
structure.
This
variation
drives
the
microclimate
and
light
availability
at
forest
floor.
So
far,
we
do
not
know
how
sub‐canopy
temperature
interactively
mediate
impact
of
macroclimate
warming
on
understorey
communities.
We
therefore
assessed
functional
response
plant
communities
to
addition
a
full
factorial
experiment
installed
temperate
deciduous
forests
across
Europe
along
natural
microclimate,
gradients.
Furthermore,
related
these
responses
species’
life‐history
syndromes
thermal
niches.
found
no
significant
community
treatment.
The
treatment,
however,
had
stronger
communities,
mainly
due
by
fast‐colonizing
generalists
slow‐colonizing
specialists.
structure
strongly
mediated
also
clear
traits
total
cover.
effects
short‐term
experimental
were
small
suggest
time‐lag
species
climate
change.
Canopy
disturbance,
for
instance
drought,
pests
or
logging,
has
strong
immediate
particularly
favours
structurally
complex
forests.
Agricultural and Forest Meteorology,
Journal Year:
2022,
Volume and Issue:
323, P. 109037 - 109037
Published: June 6, 2022
Microclimate
varies
greatly
over
short
horizontal
and
vertical
distances,
timescales.
This
multi-level
heterogeneity
influences
terrestrial
biodiversity
ecosystem
functions
by
determining
the
ambient
environment
where
organisms
live
in.
Fine-scale
in
microclimate
temperatures
is
driven
local
topography,
land
water
cover,
snow,
soil
characteristics.
However,
their
relative
influence
boreal
tundra
biomes
different
seasons,
has
not
been
comprehensively
quantified.
Here,
we
aim
to
(1)
quantify
temperature
variations
measured
at
three
heights:
(-6
cm),
near-surface
(15
cm)
air
(150
(2)
determine
of
environmental
variables
driving
thermal
variability.
We
446
sites
within
seven
focus
areas
covering
large
macroclimatic,
topographic,
gradients
(tundra,
mires,
forests)
northern
Europe.
Our
data,
consisting
60
million
readings
during
study
period
2019/11–2020/10,
reveal
substantial
variability
across
areas.
Near-surface
showed
greatest
instantaneous
differences
a
given
area
(32.3
°C)
while
corresponding
for
ranged
from
10.0
°C
(middle
forest)
27.1
(tundra).
Instantaneous
wintertime
were
largest
(up
25.6°C,
median
4.2
°C),
summer
southern
forest
(13.1°C,
4.8°C).
Statistical
analyses
indicate
that
monthly-aggregated
forests
are
closely
linked
bodies,
wetlands,
canopy
whereas
tundra,
variation
was
elevation,
topographic
solar
radiation,
snow
cover.
The
results
provide
new
understanding
on
magnitude
its
seasonal
drivers
will
help
project
impacts
climate
change
ecosystems.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: May 2, 2023
Abstract
Invasive
species
pose
a
major
threat
to
biodiversity
and
inflict
massive
economic
costs.
Effective
management
of
bio-invasions
depends
on
reliable
predictions
areas
at
risk
invasion,
as
they
allow
early
invader
detection
rapid
responses.
Yet,
considerable
uncertainty
remains
how
predict
best
potential
invasive
distribution
ranges.
Using
set
mainly
(sub)tropical
birds
introduced
Europe,
we
show
that
the
true
extent
geographical
area
invasion
can
accurately
be
determined
by
using
ecophysiological
mechanistic
models
quantify
species’
fundamental
thermal
niches.
Potential
ranges
are
primarily
constrained
functional
traits
related
body
allometry
temperature,
metabolic
rates,
feather
insulation.
Given
their
capacity
identify
tolerable
climates
outside
contemporary
realized
niches,
well
suited
for
informing
effective
policy
aimed
preventing
escalating
impacts
species.
Methods in Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
14(9), P. 2308 - 2320
Published: Aug. 8, 2023
Abstract
Microclimates
have
been
recognised
as
one
of
the
key
drivers
in
global
change
biology.
Durable
microclimate
loggers,
detailed
in‐situ
measurements
and
sophisticated
modelling
tools
are
increasingly
available,
but
a
lack
standardised
workflows
for
data
handling
hinders
synthesis
across
studies
thus
progress
To
overcome
these
limitations,
we
developed
an
R
package
myClim
processing,
storage
analyses.
The
supports
complete
workflow
handling,
including
reading
raw
logger
files,
their
preprocessing
cleaning,
time‐series'
aggregation,
calculation
ecologically
relevant
microclimatic
variables,
export
storage.
stores
size‐efficient,
hierarchical
structure
which
respects
hierarchy
field
measurement
(locality
>
loggers
sensors).
For
imported
data,
provides
informative
summary
automatically
detects
corrects
common
issues
like
duplicated
wrongly
ordered
measurements.
also
advanced
functions
aggregation
to
various
timescales
(e.g.
days,
months,
years
or
growing
seasons)
well
sensor
calibration,
conversion
joining
multiple
time
series.
variables
freezing
degree
snow
cover
period,
soil
volumetric
water
content
atmospheric
vapour
pressure
deficit.
Calculated
stored
efficiently
format
can
be
easily
exported
long
wide
tables
further
analyses
visualisations.
Adopting
facilitate
large‐scale
syntheses,
boost
sharing
increase
comparability
reproducibility
studies.
stable
version
is
available
on
CRAN
(
https://cran.r‐project.org/web/packages/myClim
)
development
GitHub
https://github.com/ibot‐geoecology/myClim
).
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2022,
Volume and Issue:
377(1846)
Published: Jan. 24, 2022
Understanding
how
environmental
factors
affect
the
thermal
tolerance
of
species
is
crucial
for
predicting
impact
stress
on
abundance
and
distribution.
To
date,
species'
responses
to
are
typically
assessed
laboratory-reared
individuals
using
coarse,
low-resolution,
climate
data
that
may
not
reflect
microhabitat
dynamics
at
a
relevant
scale.
Here,
we
examine
daily
temporal
variation
in
heat
range
their
natural
environments
across
temperate
tropical
Australia.
Individuals
were
collected
habitats
throughout
day
tested
immediately
thereafter,
while
local
microclimates
recorded
collection
sites.
We
found
high
levels
plasticity
all
species.
Both
short-
long-term
variability
temperature
humidity
affected
plastic
adjustments
within
days,
but
with
differences.
Our
results
reveal
changes
occur
rapidly
scale
relatively
short
timescale
important
drivers
observed
tolerance.
Ignoring
such
fine-scale
physiological
processes
distribution
models
might
obscure
conclusions
about
shifts
global
change.
This
article
part
theme
issue
‘Species’
ranges
face
changing
(part
1)’.