Forests,
Год журнала:
2024,
Номер
15(9), С. 1500 - 1500
Опубликована: Авг. 27, 2024
Within
this
study,
we
evaluated
the
fine
root
(trees
and
understory
vegetation
combined)
morphological
traits,
production
(FRP),
carbon
(C)
input
with
litter
in
forest
stands
(dominated
by
either
coniferous
or
deciduous
trees)
clearcut
areas
(previously
dominated
nutrient-rich
organic
soils.
The
study
was
conducted
26
sites
hemiboreal
land
Latvia
summarizes
results
obtained
a
two-year
(2020–2022)
using
ingrowth
method.
Traits
of
roots
varied
significantly
depending
on
development
stage
(stand
area),
dominant
tree
species
type
(coniferous
deciduous),
soil
drainage
status
(drained
naturally
wet).
According
to
second
year,
mean
FRP
among
groups
from
0.58
±
0.13
1.38
0.28
t
ha−1
yr−1,
while
C
ranged
0.06
0.68
0.14
yr−1.
More
than
half
(59
4%)
total
occurred
upper
0–20
cm
layer.
tended
correlate
positively
C/N
ratio
negatively
pH
nutrient
concentration.
Incubating
cores
for
at
least
two
years
is
strongly
recommended
accurately
estimate
annual
input.
This
helps
avoid
potential
underestimation
that
may
occur
when
only
one
incubation
year
(12
months
after
core
installation).
provided
new
insights
into
dynamics
traits
will
help
improve
accuracy
flow
estimation
forests
soils
Latvia.
Frontiers in Forests and Global Change,
Год журнала:
2025,
Номер
7
Опубликована: Янв. 7, 2025
Tree
attributes,
such
as
height
(H)
and
diameter
at
breast
(D),
are
essential
for
predicting
forest
growth,
evaluating
stand
characteristics
developing
yield
models
sustainable
management.
Measuring
tree
H
is
particularly
challenging
in
uneven-aged
forests
compared
to
D.
To
overcome
these
difficulties,
the
development
of
updated
reliable
H-D
crucial.
This
study
aimed
develop
robust
Larix
gmelinii
by
incorporating
variables.
The
dataset
consisted
7,069
trees
sampled
from
96
plots
Northeast
China,
encompassing
a
wide
range
densities,
age
classes,
site
conditions.
Fifteen
widely
recognized
nonlinear
functions
were
assessed
model
relationship
effectively.
Model
performance
was
using
root
mean
square
error
(RMSE),
absolute
(MAE),
coefficient
determination
(R
2
).
Results
identified
Ratkowsky
(M8)
best
performer,
achieving
highest
R
(0.74),
lowest
RMSE
(16.47%)
MAE
(12.50%),
statistically
significant
regression
coefficients
(p
<
0.05).
Furthermore,
M8
modified
into
5
generalized
(GMs)
adding
stand-variables
(i.e.,
height,
volume
their
combination),
results
indicate
that
GM2
0.82%
13.7%.
We
employed
mixed-effects
modeling
approach
with
both
fixed
random
effects
account
variations
individual
plot
level,
enhancing
predictive
accuracy.
explained
71%
variability
trends
residuals.
calibrated
response
calibration
method,
through
EBLUP
theory.
Our
findings
suggest
stand-level
variables
representing
plot-specific
can
further
improve
fit
mixed-
models.
These
advancements
provide
authorities
enhanced
tools
supporting
Forests,
Год журнала:
2024,
Номер
15(1), С. 94 - 94
Опубликована: Янв. 3, 2024
To
uncover
the
relationship
between
fine
root
traits
and
soil
properties
of
trees
under
different
fertilization
treatments
is
important
for
understanding
nutrient
acquisition
strategies
woody
oilseed
plants
scientific
management.
An
experiment
randomized
complete
block
design
was
conducted
in
a
Sapindus
mukoross
plantation
using
combinations
nitrogen
(N),
phosphorus
(P)
potassium
(K)
fertilizers
at
levels
(Control:
0
kg·ha−2
N,
P
K;
level
1:
300
250
P,
200
2:
600
500
400
3:
900
750
K).
The
response
to
application
investigated
by
measuring
indices.
results
showed
that:
(1)
surface
main
location
roots.
In
0–20
cm
layer,
FRB,
RLD,
FSRL,
RAD
were
significantly
increased
treatment
compared
with
control.
(2)
SOC,
TN,
TP,
TK,
AP,
AK
AN
soils
higher
than
those
control
group
treatments,
except
pH.
(3)
Correlation
analysis
that
FRB
RLD
positively
correlated
while
TP
AP
negatively
FSRL
RAD.
RDA
content
factor
which
influenced
mukoross.
study
revealed
K
fertilizers,
provided
theoretical
support
cultivation
species,
suggested
rational
management
forests,
species
widely
planted
southern
region
China.
Forests,
Год журнала:
2024,
Номер
15(5), С. 742 - 742
Опубликована: Апрель 24, 2024
The
objective
of
this
study
is
to
examine
the
impact
climate
and
technology
on
forest
efficiency
(FE)
in
China’s
provinces
from
2002
2020.
First,
used
SBM-data
envelopment
analysis
(SBM-DEA)
estimate
Chinese
provinces’
FE
using
multidimensional
inputs
outputs.
influence
assessed
temperature,
precipitation,
sunlight
hours,
carbon
dioxide
levels
second
phase.
A
index
was
created
principal
component
(PCA)
for
a
complete
estimation.
In
addition
prior
research,
we
analyze
through
two
technological
indicators:
(i)
research
development,
(ii)
investment
forests.
Furthermore,
explore
non-linear
economic
development
both
quality.
regression
by
CupFM
CupBC
found
that
temperature
precipitation
increase
FE,
whereas
hours
emissions
decrease
it.
positive
association
observed
between
Climate
Index1,
negative
relationship
noted
Index2,
suggests
forests
positively
conditions,
signifying
an
improvement
leads
Technology
boosts
productivity
climatic
environmental
Kuznets
curve
shows
inverted
U-shape
FE.
Similarly,
have
U-shaped
EKC
relationship.
Urbanization
reduces
due
human
growth
activity.
Our
findings
are
important
management,
change,
sustainable
policymakers
scholars.
Forests,
Год журнала:
2025,
Номер
16(2), С. 203 - 203
Опубликована: Янв. 22, 2025
Stumps
are
residuals
from
artificial
forest
harvesting,
persist
in
ecosystems,
and
have
garnered
attention
for
their
ecological
roles
soil
water
conservation,
carbon
sequestration,
regeneration.
However,
the
spatiotemporal
dynamics
of
stump
fine
root
biomass
impact
on
nutrient
cycling
remain
unclear.
This
study
focuses
roots
Chinese
Fir
(Cunninghamia
lanceolata)
stumps
generated
during
construction
national
reserve
forests
at
Xishan
State
Forest
Farm,
Linwu
County,
Hunan
Province,
2014
to
2022.
Employing
a
space-for-time
substitution
approach,
we
investigated
(FRB)
its
effects
chemical
properties.
The
results
indicated
that
FRB
significantly
differed
with
increasing
residual
time
across
various
layers
distances,
an
average
annual
loss
rate
8.40%–9.96%.
living
(LFRB)
was
predominantly
concentrated
0–20
cm
layer
decreased
depth.
Initially,
LFRB
closer
stumps;
however,
this
proximity
effect
diminished
over
time.
There
were
no
significant
differences
coefficients
between
layers,
within
vertical
profile
95%
span
15.1–15.9
years.
there
horizontal
differences,
13.7–17.0
changes
organic
matter
(SOM)
total
nitrogen
(STN)
content
period
exhibited
trade-off
relationship
LFRB,
SOM
STN
peaking
1
year
after
peak
dead
(DFRB),
suggesting
combined
exudates
decomposition
enhancement.
trend
generally
inverse
soil’s
phosphorus
(STP)
content,
which
gradually
increased
extended
retention,
indicating
provide
long-term
source
soil.
also
revealed
can
soils
relatively
long
positively
affect
nutrients
storage.
These
findings
theoretical
support
management
suggest
retaining
post-harvest
maintain
fertility
functions.
Forests,
Год журнала:
2025,
Номер
16(2), С. 220 - 220
Опубликована: Янв. 24, 2025
Fine
roots
(diameter
≤
2
mm)
play
a
critical
role
in
regulating
soil
organic
carbon
storage
and
nutrient
cycling
forest
ecosystems.
However,
the
variability
fine
root
biomass,
production,
turnover
rates
across
different
types
remains
poorly
understood.
This
study
investigates
dynamics,
including
distribution,
turnover,
four
major
monoculture
plantation
forests
subtropical
China:
Chinese
fir
(Cunninghamia
lanceolata
(Lamb.)
Hook),
Masson
pine
(Pinus
massoniana
Lamb.),
sweet
gum
(Liquidambar
formosana
Hance),
camphor
tree
(Cinnamomum
camphora
(L.)
J.
Presl).
Using
sequential
coring
method,
samples
were
collected
monthly
to
monitor
live
dead
biomass
depths
(0–15
cm,
15–30
30–45
45–60
cm).
production
estimated
using
three
methods:
Max–Min,
Integral
Decision
Matrix.
The
results
showed
that
was
highest
(1.96
t
ha−1),
followed
by
(1.12
(0.89
(0.83
ha−1).
Approximately
90%
of
total
composed
all
types,
highlighting
their
significant
uptake.
Both
predominantly
concentrated
upper
0–30
cm
layer,
with
notable
decline
deeper
layers.
(2.66–2.90
ha−1
a−1),
(1.16–1.83
(0.87–0.97
(0.87–0.93
a−1).
Turnover
(1.25–1.36
(0.96–1.51
both
(0.94–1.05
a−1
0.97–1.04
a−1,
respectively).
identifies
differences
dynamics
among
providing
baseline
data
for
optimizing
management,
particularly
urban
peri-urban
areas.
These
insights
can
enhance
reforestation
efforts,
ecosystem
resilience,
sustainable
productivity.
Plant-Environment Interactions,
Год журнала:
2025,
Номер
6(2)
Опубликована: Март 16, 2025
ABSTRACT
Community
forestry,
a
participatory
forest
management
system,
encourages
conservation,
enhances
carbon
sequestration,
and
advances
the
Sustainable
Development
Goals
(SDGs)
by
increasing
community
ownership
of
resource
management.
in
terms
policies
practices,
directly
supports
SDG‐1,
SDG‐13,
SDG‐15
promoting
empowerment
as
well
ecosystem
health.
It
provides
immediate
benefits
to
local
livelihoods
enhancing
access
services
such
fuelwood,
fodder,
non‐timber
products.
Here,
we
assess
regeneration
conservation
value
Nepal
recording
seedlings,
saplings,
mature
trees
randomly
sampled
plots.
The
plots
were
structurally
complex
with
rich
tree
diversity;
most
showed
high
diameter
at
breast
height
(DBH)
differentiation
diversity.
Most
species
followed
an
abundance
distribution
seedlings
>
saplings
adults,
suggesting
“good”
regeneration.
Tree
stock
was
137.6
tons
per
hectare
positively
associated
density
diversity
negatively
altitude.
An
increase
one
standard
deviation
index
~0.39
11.7%
higher
hectare.
Plot‐level
related
lower
heights.
Overall,
forestry
successfully
transformed
degraded
into
quality
within
two
decades,
outperforming
regional
average
Thus,
forests
can
act
effective
model
for
sustainable
are
essential
tools
policymakers
promote
regeneration,
structural
diversity,
storage,
growth,
utilization.