Biogeosciences,
Journal Year:
2024,
Volume and Issue:
21(2), P. 605 - 623
Published: Jan. 29, 2024
Abstract.
Climate
data
matching
the
scales
at
which
organisms
experience
climatic
conditions
are
often
missing.
Yet,
such
on
microclimatic
required
to
better
understand
climate
change
impacts
biodiversity
and
ecosystem
functioning.
Here
we
combine
a
network
of
microclimate
temperature
measurements
across
different
habitats
vertical
heights
with
novel
radiative
transfer
model
map
daily
temperatures
during
vegetation
period
10
m
spatial
resolution
Switzerland.
Our
results
reveal
strong
horizontal
variability
in
temperature,
particularly
for
maximum
5
cm
above
ground
within
topsoil.
Compared
macroclimate
as
measured
by
weather
stations
outside
forests,
diurnal
air
topsoil
ranges
inside
forests
were
reduced
up
3.0
7.8
∘C,
respectively,
while
below
trees
e.g.
hedges
solitary
trees,
this
buffering
effect
was
1.8
7.2
respectively.
We
also
found
that,
open
grasslands,
are,
average,
3.4
∘C
warmer
than
those
macroclimate,
suggesting
habitats,
heat
exposure
close
is
underestimated
when
using
macroclimatic
data.
Spatial
interpolation
achieved
hybrid
approach
based
linear
mixed-effect
models
input
from
detailed
radiation
estimates
that
account
topographic
shading,
well
other
predictor
variables
related
topography,
height.
After
accounting
effects,
patterns
primarily
driven
radiation,
effects
temperatures.
Results
block
cross-validation
revealed
predictive
accuracies
root
mean
squared
errors
ranging
1.18
3.43
minimum
being
predicted
more
accurately
overall
The
microclimate-mapping
methodology
presented
here
enables
biologically
relevant
perspective
analysing
climate–species
interactions,
expected
lead
understanding
biotic
responses
land
use
change.
Global Change Biology,
Journal Year:
2021,
Volume and Issue:
27(11), P. 2279 - 2297
Published: March 16, 2021
Abstract
Forest
microclimates
contrast
strongly
with
the
climate
outside
forests.
To
fully
understand
and
better
predict
how
forests'
biodiversity
functions
relate
to
change,
need
be
integrated
into
ecological
research.
Despite
potentially
broad
impact
of
on
response
forest
ecosystems
global
our
understanding
within
below
tree
canopies
modulate
biotic
responses
change
at
species,
community
ecosystem
level
is
still
limited.
Here,
we
review
spatial
temporal
variation
in
result
from
an
interplay
features,
local
water
balance,
topography
landscape
composition.
We
first
stress
exemplify
importance
considering
across
landscapes.
Next,
explain
macroclimate
warming
(of
free
atmosphere)
can
affect
microclimates,
vice
versa,
via
interactions
land‐use
changes
different
biomes.
Finally,
perform
a
priority
ranking
future
research
avenues
interface
microclimate
ecology
biology,
specific
focus
three
key
themes:
(1)
disentangling
abiotic
drivers
feedbacks
microclimates;
(2)
regional
mapping
predictions
(3)
impacts
functioning
face
change.
The
availability
microclimatic
data
will
significantly
increase
coming
decades,
characterizing
variability
unprecedented
scales
relevant
biological
processes
This
revolutionize
dynamics,
implications
functions,
changes.
In
order
support
sustainable
use
forests
secure
their
services
for
generations,
cannot
ignored.
Science,
Journal Year:
2020,
Volume and Issue:
368(6492), P. 772 - 775
Published: May 14, 2020
Local
factors
restrain
forest
warming
Microclimates
are
key
to
understanding
how
organisms
and
ecosystems
respond
macroclimate
change,
yet
they
frequently
neglected
when
studying
biotic
responses
global
change.
Zellweger
et
al.
provide
a
long-term,
continental-scale
assessment
of
the
effects
micro-
on
community
composition
European
forests
(see
Perspective
by
Lembrechts
Nijs).
They
show
that
changes
in
canopy
cover
fundamentally
important
for
driving
climate
Closed
canopies
buffer
against
macroclimatic
change
through
their
cooling
effect,
slowing
shifts
composition,
whereas
open
tend
accelerate
local
heating
effects.
Science
,
this
issue
p.
772
;
see
also
711
Ecological Applications,
Journal Year:
2019,
Volume and Issue:
30(2)
Published: Nov. 23, 2019
Abstract
A
stable
below‐canopy
microclimate
of
forests
is
essential
for
their
biodiversity
and
ecosystem
functionality.
Forest
management
necessarily
modifies
the
buffering
capacity
woodlands.
However,
specific
effects
different
forestry
treatments
on
site
conditions,
temporal
recovery
after
harvests,
reason
contrasts
between
are
still
poorly
understood.
The
four
(clear‐cutting,
retention
tree
group,
preparation
cutting,
gap‐cutting)
microclimatic
variables
were
studied
within
a
field
experiment
in
managed
oak‐dominated
stand
Hungary,
before
(2014)
(2015–2017)
interventions
by
complete
block
design
with
six
replicates.
From
first
post‐treatment
year,
clear‐cuts
differed
most
from
uncut
control
due
to
increased
irradiance
heat
load.
Means
variability
air
soil
temperature
increased,
became
dryer
along
higher
moisture
levels.
Retention
groups
could
effectively
ameliorate
extreme
temperatures
but
not
mean
values.
Preparation
cutting
induced
slight
changes
original
buffered
humid
forest
microclimate.
Despite
substantially
more
incoming
light,
gap‐cutting
retain
cool
conditions
showed
highest
increase
interventions.
For
variables,
we
observe
any
obvious
trend
3
yr.
decreased
time
clear‐cuts,
while
difference
continuously
gap‐
clear‐cuts.
Based
multivariate
analyses,
separated
significantly
based
mainly
maxima
variability.
We
found
that
(1)
effect
sizes
among
treatment
levels
consistent
throughout
years,
(2)
climatic
appears
be
far
than
yr,
(3)
applied
silvicultural
methods
diverged
maxima.
our
study,
spatially
heterogeneous
fine‐scaled
continuous
cover
(gap‐cutting,
selection
systems)
recommended.
By
applying
these
practices,
structural
elements
creating
successfully
maintained.
Thus,
induce
less
pronounced
alterations
environmental
forest‐dwelling
organism
groups.
Global Ecology and Biogeography,
Journal Year:
2019,
Volume and Issue:
28(12), P. 1774 - 1786
Published: Aug. 22, 2019
Forest
understorey
microclimates
are
often
buffered
against
extreme
heat
or
cold,
with
important
implications
for
the
organisms
living
in
these
environments.
We
quantified
seasonal
effects
of
microclimate
predictors
describing
canopy
structure,
composition
and
topography
(i.e.,
local
factors)
forest
patch
size
distance
to
coast
landscape
factors).Temperate
forests
Europe.2017-2018.Woody
plants.We
combined
data
from
a
sensor
network
weather-station
records
calculate
difference,
offset,
between
temperatures
measured
inside
outside
forests.
used
regression
analysis
study
factors
on
offset
minimum,
mean
maximum
temperatures.The
temperature
during
summer
was
average
cooler
by
2.1
°C
than
forests,
minimum
winter
spring
were
0.4
0.9
warmer.
The
cover
strong
nonlinear
driver
summer,
we
found
increased
cooling
beneath
tree
species
that
cast
deepest
shade.
Seasonal
offsets
mainly
regulated
topographic
features,
such
as
position.Forest
experience
less
severe
extremes
suggested
currently
available
macroclimate
data;
therefore,
climate-species
relationships
responses
anthropogenic
global
warming
cannot
be
modelled
accurately
using
alone.
Changes
will
strongly
modulate
understories,
understanding
biodiversity
functioning
threats
land-use
change
climate
change.
Our
predictive
models
generally
applicable
across
lowland
temperate
deciduous
providing
ecologically
understories.
Methods in Ecology and Evolution,
Journal Year:
2021,
Volume and Issue:
12(8), P. 1397 - 1410
Published: May 14, 2021
Abstract
Many
organisms
live
in
environments
which
temperatures
differ
substantially
from
those
measured
by
standard
weather
stations.
The
last
decade
has
witnessed
a
paradigm
shift
efforts
to
quantify
these
differences
and
understand
their
ecological,
functional
evolutionary
implications.
This
renewed
interest
microclimate
ecology
been
accompanied
the
development
of
various
compact
temperature
sensors
radiation
shields.
However,
it
is
clear
that
there
are
many
pitfalls
when
measuring
using
devices.
Here
we
address
problem
microenvironments
accurately.
We
first
discuss
theory
surface,
ground
air
with
reference
energy
fluxes
how
modified
material,
reflective
properties
size
device.
highlight
particular
difficulties
associated
temperature.
then
report
on
results
series
experiments
recorded
commonly
used
loggers
compared
obtained
research‐grade
instruments
synoptic
While
accurate
measurements
surface
at
night
shaded
can
be
relatively
easily
obtained,
show
substantial
errors
expected
exposed
sunlight.
Most
yield
large
errors,
reach
25°C
due
radiative
operating
thermometer.
cannot
wholly
overcome
shielding
thermometer
sunlight,
as
shield
itself
will
influence
both
being
accuracy
measurement.
demonstrate
reasonably
estimates
low‐cost
unshielded
ultrafine‐wire
thermocouples
possess
low
thermal
emissivity
highly
surface.
As
processes
create
microclimatic
variation
same
cause
other
logger
types
should
care,
generally
avoided
sunlight
close
where
wind
speeds
lower.
urge
researchers
interested
microclimates
effects
pay
greater
heed
physics
heat
exchange
attempting
measure
trade‐offs
exist
doing
so.
Global Change Biology,
Journal Year:
2021,
Volume and Issue:
27(23), P. 6307 - 6319
Published: Oct. 3, 2021
Ecological
research
heavily
relies
on
coarse-gridded
climate
data
based
standardized
temperature
measurements
recorded
at
2
m
height
in
open
landscapes.
However,
many
organisms
experience
environmental
conditions
that
differ
substantially
from
those
captured
by
these
macroclimatic
(i.e.
free
air)
grids.
In
forests,
the
tree
canopy
functions
as
a
thermal
insulator
and
buffers
sub-canopy
microclimatic
conditions,
thereby
affecting
biological
ecological
processes.
To
improve
assessment
of
climatic
climate-change-related
impacts
forest-floor
biodiversity
functioning,
high-resolution
grids
reflecting
forest
microclimates
are
thus
urgently
needed.
Combining
more
than
1200
time
series
situ
near-surface
with
topographical,
variables
machine
learning
model,
we
predicted
mean
monthly
offset
between
15
cm
above
surface
free-air
over
period
2000-2020
spatial
resolution
25
across
Europe.
This
was
used
to
evaluate
difference
microclimate
macroclimate
space
seasons
finally
enabled
us
calculate
annual
temperatures
for
European
understories.
We
found
air
temperatures,
being
average
2.1°C
(standard
deviation
±
1.6°C)
lower
summer
2.0°C
higher
(±0.7°C)
winter
Additionally,
our
maps
expose
considerable
variation
within
landscapes,
not
gridded
products.
The
provided
will
enable
future
model
below-canopy
processes
patterns,
well
species
distributions
accurately.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(3), P. 798 - 798
Published: Jan. 25, 2024
Smart
forestry,
an
innovative
approach
leveraging
artificial
intelligence
(AI),
aims
to
enhance
forest
management
while
minimizing
the
environmental
impact.
The
efficacy
of
AI
in
this
domain
is
contingent
upon
availability
extensive,
high-quality
data,
underscoring
pivotal
role
sensor-based
data
acquisition
digital
transformation
forestry.
However,
complexity
and
challenging
conditions
environments
often
impede
collection
efforts.
Achieving
full
potential
smart
forestry
necessitates
a
comprehensive
integration
sensor
technologies
throughout
process
chain,
ensuring
production
standardized,
essential
for
applications.
This
paper
highlights
symbiotic
relationship
between
human
expertise
particularly
under
conditions.
We
emphasize
human-in-the-loop
approach,
which
allows
experts
directly
influence
generation,
enhancing
adaptability
effectiveness
diverse
scenarios.
A
critical
aspect
deployment
autonomous
robotic
systems
forests,
functioning
both
as
collectors
processing
hubs.
These
are
instrumental
facilitating
generating
substantial
volumes
quality
data.
present
our
universal
platform,
detailing
experiences
importance
initial
phase
transformation—the
generation
comprehensive,
selection
appropriate
sensors
key
factor
process,
findings
underscore
its
significance
advancing
Global Change Biology,
Journal Year:
2017,
Volume and Issue:
24(3), P. 1267 - 1278
Published: Oct. 20, 2017
Abstract
Tropical
rainforests
are
subject
to
extensive
degradation
by
commercial
selective
logging.
Despite
pervasive
changes
forest
structure,
selectively
logged
forests
represent
vital
refugia
for
global
biodiversity.
The
ability
of
these
buffer
temperature‐sensitive
species
from
climate
warming
will
be
an
important
determinant
their
future
conservation
value,
although
this
topic
remains
largely
unexplored.
Thermal
buffering
potential
is
broadly
determined
by:
(i)
the
difference
between
“macroclimate”
(climate
at
a
local
scale,
m
ha)
and
“microclimate”
fine‐scale,
mm
m,
that
distinct
macroclimate);
(ii)
thermal
stability
microclimates
(e.g.
variation
in
daily
temperatures);
(iii)
availability
organisms.
We
compared
metrics
undisturbed
primary
intensively
on
Borneo,
using
images
capture
cool
surface
floor,
information
dataloggers
placed
inside
deadwood,
tree
holes
leaf
litter.
Although
major
differences
structure
remained
9–12
years
after
repeated
logging,
we
found
logging
activity
had
very
little
effect
buffering,
terms
macroclimate
microclimate
temperatures,
overall
microclimates.
For
1°C
macroclimate,
temperature
litter
warmed
slightly
more
than
forest,
but
amounted
<0.1°C
types.
therefore
conclude
similar
subsequent
retain
under
change.
Selectively
can
play
crucial
role
long‐term
maintenance
New Phytologist,
Journal Year:
2020,
Volume and Issue:
231(2), P. 601 - 616
Published: Oct. 13, 2020
As
climate
change
drives
increased
drought
in
many
forested
regions,
mechanistic
understanding
of
the
factors
conferring
tolerance
trees
is
increasingly
important.
The
dendrochronological
record
provides
a
window
through
which
we
can
understand
how
tree
size
and
traits
shape
growth
responses
to
droughts.
We
analyzed
tree-ring
records
for
12
species
broadleaf
deciduous
forest
Virginia
(USA)
test
hypotheses
height,
microenvironment
characteristics,
species'
shaped
across
three
strongest
regional
droughts
over
60-yr
period.
Drought
(resistance,
recovery,
resilience)
decreased
with
was
strongly
correlated
exposure
higher
solar
radiation
evaporative
demand.
potentially
greater
rooting
volume
larger
did
not
confer
resistance
advantage,
but
marginally
recovery
resilience,
sites
low
topographic
wetness
index.
among
whose
leaves
lost
turgor
(wilted)
at
more
negative
water
potentials
experienced
less
shrinkage
upon
desiccation.
reveals
that
height
leaf
influenced
during
after
significant
meteorological
record.
change-induced
intensify,
tall
drought-sensitive
will
be
most
vulnerable
immediate
longer-term
reductions.