Machine learning methods for basal area prediction of Fagus orientalis Lipsky stands based on national forest inventory
Trees,
Journal Year:
2025,
Volume and Issue:
39(2)
Published: March 19, 2025
Language: Английский
Cold Air Pools (CAPs) as Natural Freezers for the Study of Plant Responses to Low Temperatures
Plant ecophysiology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 6 - 6
Published: April 16, 2025
Language: Английский
Cold Air Pools (CAPs) as Natural Freezers for the Study of Plant Responses to Low Temperatures
Plant ecophysiology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 6 - 6
Published: April 16, 2025
Language: Английский
A tree's view of the terrain: downscaling bioclimate variables to high resolution using a novel multi‐level species distribution model
Ecography,
Journal Year:
2024,
Volume and Issue:
2024(9)
Published: June 25, 2024
Fine‐scale
spatial
climate
variation
fosters
biodiversity
and
buffers
it
from
change,
but
ecological
studies
are
constrained
by
the
limited
accessibility
of
relevant
fine‐scale
data.
In
this
paper
we
introduce
a
novel
form
species
distribution
model
that
uses
occurrences
to
predict
high‐resolution
variation.
This
new
category
‘bioclimate'
data,
representing
micro‐scale
as
experienced
one
or
more
interest,
is
useful
complement
microclimate
data
existing
approaches.
The
modeling
method,
called
BISHOP
for
‘bioclimate
inference
species'
occurrence
patterns,'
on
occurrences,
coarse‐scale
climate,
physiography
(e.g.
terrain,
soil,
vegetation)
triangulate
bioclimate
patterns.
It
works
pairing
climate‐downscaling
function
predicting
latent
variable,
with
niche
bioclimate.
infers
how
affects
bioclimate,
estimates
these
effects
vary
geographically,
produces
(10
m)
maps
over
large
regions.
also
predicts
distributions.
After
introducing
approach,
apply
in
an
empirical
study
focused
topography
trees.
Using
216
North
American
tree
species,
document
biogeographic
patterns
enable
BISHOP,
estimate
four
terrain
variables
(northness,
eastness,
windward
exposure,
elevational
position)
each
influence
three
variables,
use
results
produce
downscaled
tree‐specific
Model
validation
demonstrates
inferred
outperforms
macroclimate
distributions
separate
not
used
during
inference,
confirming
its
relevance.
Our
show
nearby
bioclimates
can
differ
5°C
temperature
twofold
moisture,
equator‐facing,
east‐facing,
windward‐facing,
locally
elevated
sites
exhibiting
hotter,
drier
average.
But
greatly
across
zones,
revealing
topographically
similar
landscapes
strongly
their
These
have
important
implications
micrometeorology,
biodiversity,
resilience.
Language: Английский
Influence of Soil Moisture in Semi-Fixed Sand Dunes of the Tengger Desert, China, Based on PLS-SEM and SHAP Models
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(16), P. 6971 - 6971
Published: Aug. 14, 2024
Drought
stress
significantly
limits
the
function
and
stability
of
desert
ecosystems.
This
research
examines
distribution
characteristics
soil
moisture
across
different
microtopographic
types
in
semi-fixed
dunes
located
at
southeastern
edge
Tengger
Desert.
We
constructed
a
path
model
to
examine
direct
indirect
impacts
topography,
shrub
vegetation,
herbaceous
vegetation.
The
data
encompassed
moisture,
vegetation
variables,
which
were
collected
from
field
experiments
ensure
their
accuracy
relevance.
Furthermore,
SHAP
models
based
on
machine
learning
algorithms
utilized
elucidate
specific
mechanisms
through
key
factors
influence
moisture.
results
descriptive
statistics
indicate
highest
surface
content,
recorded
1.21%,
was
observed
bottom
dunes,
while
leeward
slopes
demonstrated
elevated
levels
middle
deep
layers,
with
measurements
2.25%
2.43%,
respectively.
Soil
depths
initially
decreases
then
increases
greater
cover
slope
direction,
follows
similar
trend
terms
height
difference,
3
m
serving
as
boundary
for
changes.
Middle
moistures
increase
decrease
biomass
coverage,
30
g
40%
changes
study
elucidates
spatial
patterns
influencing
offering
valuable
references
establishment
sand-stabilizing
regions.
Language: Английский