Revista Árvore,
Год журнала:
2024,
Номер
48, С. 1 - 14
Опубликована: Авг. 28, 2024
Fires
threaten
tropical
forests
such
as
Atlantic
Forest
in
Brazil,
compromising
the
ecosystem
service
of
carbon
stock.
However,
there
is
a
literature
gap
regarding
these
studies
ecosystems.
Therefore,
we
conducted
this
analysis
different
land
use
and
cover
(LULC)
classes,
considering
seasonality
topographic,
hydrological,
anthropogenic
fire
variables
correlations,
during
2000-2020.
The
InVEST
Carbon
model
was
used,
applied
to
biomass
pre-fire
pos-fire,
based
on
field
work
linear
regression,
weighted
by
pre-
post-fire
NBR
spectral
index.
results,
21
years,
revealed
total
loss
after
55.7GgC
(43%),
these,
79%
old-growth
Ombrophilous
dense.
In
general,
negatively
impacts
stock
native
an
average
38%
(ranging
from
19.9%
69.1%,
depending
phytophysiognomy
seasonality),
Eucalyptus
plantations
87.1%,
high-altitude
grasslands
79.5%
pasture
90.4%.
Burn
frequency
severity
well
distance
rivers
roads
were
significantly
correlated
with
loss.
A
small
portion
biome
has
shown
high
potential
for
fire-induced
loss,
indicating
danger
whole
conservation
international
agreements
commitments.
Forest Ecosystems,
Год журнала:
2024,
Номер
11, С. 100165 - 100165
Опубликована: Янв. 1, 2024
Understanding
the
spatial
variation,
temporal
changes,
and
their
underlying
driving
forces
of
carbon
sequestration
in
various
forests
is
great
importance
for
understanding
cycle
management
options.
How
density
Cunninghamia
lanceolata
forests,
extensively
cultivated
timber
production
subtropical
China,
vary
with
biodiversity,
forest
structure,
environment,
cultural
factors
remain
poorly
explored,
presenting
a
critical
knowledge
gap
realizing
supply
potential
through
management.Based
on
large-scale
database
449
permanent
inventory
plots,
we
quantified
spatial-temporal
heterogeneity
aboveground
densities
accumulation
rates
lanceolate
Hunan
Province,
attributed
contributions
stand
environmental,
to
using
quantile
age-sequence
analysis,
partial
least
squares
path
modeling
(PLS-PM),
hot-spot
analysis.
The
results
showed
low
values
average,
comparison
other
same
climate
zone
(i.e.,
subtropics),
pronounced
variability.
Specifically,
regression
analysis
along
an
age
sequence
large
differences
among
underperformed
outperformed
(0.50
1.80
Mg·ha−1·yr−1).
PLS-PM
demonstrated
that
maximum
DBH
were
main
crucial
drivers
from
young
mature
forests.
Furthermore,
species
diversity
geo-topographic
significant
causing
discrepancy
change
between
low-
high-carbon-bearing
Hotspot
revealed
culture
attributes
shaping
geospatial
patterns
sequestration.
Our
work
highlighted
retaining
large-sized
trees
increasing
shade-tolerant
tree
important
enhance
C.
Frontiers in Remote Sensing,
Год журнала:
2024,
Номер
5
Опубликована: Март 14, 2024
Tropical
moist
forests
have
been
severely
affected
by
natural
and
anthropogenic
disturbances,
leading
to
substantial
changes
in
global
carbon
cycle
climate.
These
effects
received
great
attention
scientific
research
debates.
Here
we
review
recent
progress
on
drivers
ecological
impacts
of
tropical
forest
their
monitoring
modeling
methods.
Disturbances
are
primarily
driven
clearcutting,
selective
logging,
fire,
extreme
drought,
edge
effects.
Compound
disturbances
such
as
fire
aggravate
degradation
the
forests.
Drought
can
result
terrestrial
loss
via
physiological
impacts.
lead
direct
loss,
biophysical
warming
microclimate
change.
Remote
sensing
observations
promising
for
revealing
mechanisms,
which
will
be
useful
implementing
disturbance
processes
dynamic
vegetation
models.
Yet,
constrained
spatiotemporal
coverages
resolutions
limit
application
these
data
process-based
It
is
also
challenging
represent
physical
derived
from
fine-resolution
remote
coarse-resolution
We
highlight
need
continuously
integrate
new
datasets
advance
understanding
patterns
Interactions
climate
change
activities
should
considered
assessing
feedbacks
disturbances.
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Дек. 14, 2023
Abstract
Despite
the
importance
of
agroforestry
parkland
systems
for
ecosystem
and
livelihood
benefits,
evidence
on
determinants
carbon
storage
in
parklands
remains
scarce.
Here,
we
assessed
direct
indirect
influence
human
management
(selective
harvesting
trees),
abiotic
factors
(climate,
topography,
soil)
multiple
attributes
species
diversity
(taxonomic,
functional,
structural)
aboveground
(AGC)
stocks
51
drylands
Benin.
We
used
linear
mixed-effects
regressions
structural
equation
modeling
to
test
relative
effects
these
predictors
AGC
stocks.
found
that
(tree
size
diversity,
H
DBH
)
had
strongest
(effect
β
=
0.59,
R
2
54%)
relationship
with
stocks,
followed
by
community-weighted
mean
maximum
height
(CWM
MAXH
).
Taxonomic
no
significant
but
influenced
latter
indirectly
through
its
negative
effect
CWM
,
reflecting
impact
selection
farmers.
Elevation
soil
total
organic
content
positively
both
directly
via
.
No
association
was
between
tree
factor.
Our
results
suggest
mass
ratio,
niche
complementarity
environmental
favorability
as
underlying
mechanisms
parklands.
findings
also
highlight
potential
role
human-driven
filtering
local
pool
regulating
biodiversity
conclude
promotion
is
dependent
protecting
regeneration
addition
enhancing
managing
tall-stature
trees.
Forests,
Год журнала:
2022,
Номер
13(12), С. 2164 - 2164
Опубликована: Дек. 16, 2022
Fire
has
been
an
integral
part
of
ecosystem
functioning
in
many
biomes
for
a
long
time,
but
the
increased
intensity
and
frequency
wildfires
often
affect
plant
diversity
carbon
storage.
Prescribed
burning
is
one
alternatives
to
forest
fuel
management
where
fire
controlled
carried
out
under
determined
set
weather
conditions
objectives.
The
effect
prescribed
on
(C)
storage
not
studied
widely.
objective
this
study
was
evaluate
indices,
biomass
stocks,
soil
C
tropical
highland
forests
Southern
Mexico.
We
assessed
stocks
at
21
sampling
sites:
seven
with
burning,
non-burning,
wildfires.
calculated
tree
biodiversity
stand
structural
properties,
species
composition
among
treatments.
quantified
vegetation
by
using
allometric
equation
litter
direct
sampling.
analyzed
252
samples
organic
content
other
properties.
results
showed
that
index
higher
sites
(Shannon
index,
H
=
1.26)
non-burning
(H
1.14)
than
wildfire
0.36).
There
greater
similarity
between
compared
sites.
positive
(183.9
Mg
ha−1)
when
(144.3
ha−1),
difference
statistically
significant
(p
>
0.05)
stocks.
conserved
as
well
opposite
what
we
found
Frontiers in Forests and Global Change,
Год журнала:
2024,
Номер
7
Опубликована: Март 26, 2024
Riparian
ecosystems
are
recognized
as
large
reservoirs
of
biodiversity
providing
important
ecosystem
services.
However,
the
relationship
between
tree
species
diversity
and
functions
underlying
ecological
mechanisms
have
less
been
studied
in
riparian
corridors.
This
study
assessed
effect
(taxonomic,
functional,
phylogenetic)
on
(habitat
quality–HbQ
aboveground
carbon–AGC)
across
environmental
gradients
(distances
to
stream
bed)
conservation
status.
Data
were
collected
from
96
inventory
plots
installed
a
1
km
buffer
zone
either
side
permanent
streams
Upper
Ouémé
watershed
northern
Benin.
We
employed
linear
mixed
effects
models
structural
equation
modeling
analyze
data.
found
that
(HbQ,
AGC)
attributes
including
richness
(SR),
Faith’s
phylogenetic
index
(PD)
community-weighted
mean
maximum
height
(CWM
Hmax
)
significantly
lower
away
streambed
than
nearby.
The
correlation
SR
was
significant
positive
within
distance
gradient
also
CWM
best
predictor
both
functions,
PD
mediated
AGC
HbQ
areas
close
unprotected
areas,
respectively.
Our
reveals
influence
human
activities
functioning
relationships
corridors
provides
new
insights
into
importance
tall
stature
trees
with
distant
lineages
for
these
ecosystems.
Based
variables
measured
tested
this
study,
we
argue
corridor
management
policies
should
consider
plant
traits
phylogeny
promote
wider
buffers
co-benefits
climate
change
mitigation.
Plant
communities
store
carbon
in
their
biomass,
contributing
to
the
reduction
of
greenhouse
gases
atmosphere.
Many
studies
about
aboveground
biomass
(AGB)
have
been
conducted
Brazilian
Atlantic
Forest,
but
non-forest
ecosystems
(NFE)
remain
neglected.
This
is
case
cloud
savannas
that
occur
at
high
altitudes
(>800
m)
Mantiqueira
Mountain
Range,
Southeastern
Brazil.
To
evaluate
wood
structure
and
live
AGB
variation
this
phytophysiognomy,
we
carried
out
an
inventory
woody
dead
stems
1-ha
permanent
sample
Ibitipoca
State
Park
(Minas
Gerais,
Brazil).
We
measured
(diameter
height)
identified
all
woods
with
DB
≥
3
cm
base
level
=
0.30
m
above
soil)
a
10
random
plots
(50
×
20
m).
estimate
by
community
based
on
trunk
samples
(wood
density)
global
allometric
equations.
sampled
total
1480
woods,
which
1055
(71.3%)
were
living
425
(29.7%)
standing
woods.
The
species
Eremanthus
erythropappus
(Asteraceae)
was
dominant,
56%
individuals
73%
basal
area.
estimated
for
10.5
ton.ha−1,
where
8.8
ton.ha−1
(83.9%)
1.7
(17,1%)
values
our
study
lower
than
those
registered
surrounding
forests
other
NFEs
(savanna)
types
Brazil,
probably
related
sandy
poor
soils.
best
knowledge,
first
one
quantifies
savanna
Knowledge
storage
NFE
could
be
used
encourage
REDD+
CDM
projects
since
it
widespread
threatened
vegetation
type
over
very
erodible
soils
along
Mountains
Range.
Remote Sensing,
Год журнала:
2022,
Номер
14(24), С. 6244 - 6244
Опубликована: Дек. 9, 2022
Accurate
estimation
of
forest
carbon
storage
is
essential
for
understanding
the
dynamics
resources
and
optimizing
decisions
resource
management.
In
order
to
explore
changes
in
Pinus
densata
Shangri-La
influence
topography
on
storage,
two
dynamic
models
were
developed
based
National
Forest
Inventory
(NFI)
Landsat
TM/OLI
images
with
a
5-year
interval
change
annual
average
change.
The
three
modelling
methods
used
partial
least
squares
(PLSR),
random
(RF)
gradient
boosting
regression
tree
(GBRT).
Various
spectral
texture
features
calculated
filtered
before
modelling.
terrain
niche
index
(TNI),
which
able
reflect
combined
effect
elevation
slope,
was
added
model,
optimal
model
selected
estimate
topographic
conditions
areas
analyzed.
results
showed
that:
(1)
data
performs
better
than
data,
RF
has
higher
accuracy
compared
PLSR
GBRT
models.
(2)
addition
TNI
improved
accuracy,
R2
by
up
10.48%
at
most,
RMSE
reduced
7.32%
MAE
8.89%
highest
after
adding
TNI,
an
0.87,
3.82
t-C·ha−1,
1.78
t-C·ha−1.
(3)
direct
that
decreased
1987–1992
1997–2002,
increased
1992–1997,
2002–2007,
2007–2012,
2012–2017.
(4)
trend
increasing
or
decreasing
each
period
not
exactly
same
gradient,
according
dominant
distribution,
as
lower
elevations
gentler
slopes
are
favorable
accumulation
while
area
more
randomly
distributed
topographically.
This
study
develops
considering
factors,
provides
solution
accurate
regions
complex
topography.
Trees Forests and People,
Год журнала:
2023,
Номер
15, С. 100477 - 100477
Опубликована: Дек. 12, 2023
Tropical
forests
play
a
crucial
role
in
climate
regulation
due
to
their
high
carbon
sequestration
capacity.
However,
degradation
and
disturbances
these
may
result
significant
losses.
This
study
focuses
on
the
impact
of
various
biophysical,
anthropogenic,
landscape
factors
aboveground
biomass
(AGB)
heavily
disturbed
landscapes
Côte
d'Ivoire
(West
Africa),
typical
low-forest
high-deforestation
country.
AGB
estimates
from
National
Forest
Inventory
dataset
have
been
linked
five
categories
variables
(Climate,
Soil,
Topography,
Landscape,
Human-related)
through
random
forest
modeling
approach
that
addressed
collinearity
among
variables,
selected
key
each
category,
used
spatial
cross-validation
evaluate
model
performance.
The
comprehensive
model,
combining
composition,
physical
soil
properties,
demonstrated
strong
performance
with
an
R-squared
0.62.
Notably,
percentage
occupied
by
within
radius
1000m
(PLAND1000)
had
highly
AGB,
exhibiting
notable
increase
when
PLAND1000
exceeded
80%
decrease
it
felt
below
25%.
Soil
both
(Bulk
Density
Coarse
Fraction)
chemical
(soil
pH),
significantly
influenced
too.
Interestingly,
climatic,
topographic,
other
anthropogenic
minimal
relevance
predicting
suggesting
effects
captured
integrative
variables.
In
order
enhance
preservation
restoration
initiatives
face
deforestation
fragmentation
challenges
West
African
region,
we
recommend
(i)
evaluating
appropriate
scale
effect
(a
circle
being
most
this
study);
(ii)
prioritizing
or
dense
landscapes;
(iii)
integrating
composition
into
management
policies.
Ecological Indicators,
Год журнала:
2024,
Номер
162, С. 112029 - 112029
Опубликована: Апрель 15, 2024
Secondary
forests
can
play
a
critical
role
in
conserving
plant
biodiversity
and
sequestering
carbon.
However,
intensive
past
management,
fragmentation,
initial
soil
fertility
hinder
forest
recovery
during
secondary
succession,
especially
terms
of
tree
species
selection.
In
turn,
selection
negatively
impact
may
slow
down
the
succession
process,
but
direct
indirect
effects
between
these
factors
remain
unclear.
To
assess
complex
interactions
among
landscape,
previous
vegetation,
27
varying
ages,
previously
used
for
eucalyptus
plantations,
located
diverse
landscape
configurations
within
Atlantic
Forest
biome,
were
examined.
Key
variables,
such
as
planting
frequency,
cutting
cover
patch
isolation
fragments,
functional
richness,
aboveground
biomass
(AGB),
sum
bases,
organic
matter,
phosphorus
concentration
to
construct
structural
equation
model
evaluate
management
on
development.
Cutting
frequency
had
negative
effect
richness.
Additionally,
strong
positive
diversity
bases
was
found.
Thus,
(a
proxy
fertility),
mediated
by
These
findings
underscore
significance
integrating
into
restoration
strategies
preserve
ecosystem
functioning
efficiently
recover
biodiversity,
biomass,
forests.