Frontiers in Plant Science,
Journal Year:
2024,
Volume and Issue:
15
Published: Nov. 25, 2024
Thinning
is
a
common
practice
to
enhance
tree
growth,
but
its
effect
on
rhizosphere
soil
microorganisms
in
subtropical
secondary
evergreen
broadleaved
forests
remains
unclear.
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Journal Year:
2023,
Volume and Issue:
98(6), P. 2049 - 2077
Published: July 16, 2023
ABSTRACT
Succession
is
a
fundamental
concept
in
ecology
because
it
indicates
how
species
populations,
communities,
and
ecosystems
change
over
time
on
new
substrate
or
after
disturbance.
A
mechanistic
understanding
of
succession
needed
to
predict
will
respond
land‐use
design
effective
ecosystem
restoration
strategies.
Yet,
despite
century
conceptual
advances
comprehensive
successional
theory
lacking.
Here
we
provide
an
overview
19
theories
(‘models’)
their
key
points,
group
them
based
similarity,
explain
development
ideas
suggestions
move
forward.
Four
groups
models
can
be
recognised.
The
first
(
patch
&
plants
)
focuses
at
the
level
consists
three
subgroups
that
originated
early
20th
century.
One
subgroup
processes
(dispersal,
establishment,
performance)
operate
sequentially
during
succession.
Another
emphasises
individualistic
responses
succession,
this
driven
by
traits.
last
vegetation
structure
underlying
demographic
second
provides
more
holistic
view
considering
ecosystem,
its
biota,
interactions,
diversity,
processes.
third
landscape
considers
larger
spatial
scale
includes
effect
surrounding
matrix
as
distance
neighbouring
patches
determines
potential
for
seed
dispersal,
quality
abundance
composition
sources
biotic
dispersal
vectors.
fourth
socio‐ecological
systems
human
component
focusing
where
management
practices
have
long‐lasting
legacies
pathways
regrowing
vegetations
deliver
range
services
local
global
stakeholders.
four
differ
(patch,
landscape)
organisational
(plant
species,
system),
increase
scope,
reflect
increasingly
broader
perspective
time.
They
coincide
approximately
with
periods
prevailing
time,
although
all
views
still
coexist.
are:
(from
1910
onwards)
was
seen
through
lens
replacement;
communities
1965
when
there
succession;
landscapes
2000
realised
strongly
impact
pathways,
increased
remote‐sensing
technology
allowed
better
quantification
context;
people
2015
societal
drivers
strong
effects
are
important
well‐being,
most
successful
done
people.
Our
review
suggests
hierarchical
framework
Pickett
best
starting
point
forward
already
several
factors,
flexible,
enabling
application
different
systems.
mainly
replacement
could
improved
occurring
scales
(population,
community,
integrating
recent
developments
other
models:
(landscape,
region),
temporal
(ecosystem
centuries,
evolution),
taking
(landscape
integrity
composition,
disperser
community)
factors
(previous
current
intensity)
into
account.
Such
new,
tested
using
combination
empirical
research,
experiments,
process‐based
modelling
novel
tools.
Applying
seres
across
broadscale
environmental
disturbance
gradients
allows
insight
what
matter
under
conditions.
Land,
Journal Year:
2024,
Volume and Issue:
13(1), P. 70 - 70
Published: Jan. 7, 2024
Revealing
trade-off
and
synergistic
relationships
among
ecosystem
services
plays
a
key
role
in
ensuring
stable
for
long-term
development.
It
is
the
crucial
precondition
realizing
watershed
protection
high-quality
The
variations
land
use
during
1990–2020
are
investigated
by
taking
typical
areas
returning
farmland
to
forests
as
an
example.
spatiotemporal
distributions
of
six
services,
namely
carbon
storage,
water
yield,
net
primary
productivity
(NPP),
soil
conservation,
habitat
quality,
forest
recreation
quantified
InVEST
model
statistical
data.
We
also
uncover
spatial
difference
Loess
Plateau,
located
northern
Shaanxi,
with
hot
spot
analysis
probe
correlations
services.
results
show
that:
(1)
decreased
dramatically.
On
contrary,
orchards
increased
significantly.
(2)
During
same
period,
storage
quality
increased,
NPP,
initially
declined,
but
subsequently
rose
higher
values
than
that
1990.
All
these
southeastern
part
research
area
surpass
those
found
northwest.
(3)
Shaanxi
mainly
characterized
correlations,
which
became
stronger
from
1990
2020.
effects
occur
yield
other
distributed
west
north
area.
Based
on
findings,
this
work
provides
scientific
principles
improving
ecological
environment
enhancing
resource
sustainability
study
Environmental and Sustainability Indicators,
Journal Year:
2022,
Volume and Issue:
16, P. 100213 - 100213
Published: Nov. 14, 2022
Vegetation
cover
significantly
improves
the
terrestrial
environment
by
increasing
carbon
sequestration
capacity.
It
is
projected
that
a
major
threat
to
China's
will
be
happened
2030
due
increment
in
emissions.
Identifying
reliable
techniques
assess
absorption
green
coverage
necessary
build
resilient
environment.
This
research
examines
performance
of
two
weighted
regression
models
explain
capacity
vegetation
(VCS),
spatial
distribution,
and
degree
influence
for
reducing
emission.
The
results
demonstrate
changes
VCS
from
slow
fast,
with
an
average
yearly
growth
rate
0.043%
(2005–2010)
1.963%
(2010–2015)
more
obvious
local
cities.
Variables
such
as
night-time
light
index,
relative
humidity,
length
sunlight
substantially
impacted
capacity,
although
their
effect
varied
yearly.
Finally,
comparative
show
study
can
play
influential
role
finding
specific
locations
facing
issues
emissions
support
governments
through
association
effective
measures
mitigate
it.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(10), P. 4133 - 4133
Published: May 15, 2024
The
rapid
and
accurate
estimation
of
forest
carbon
stock
is
important
for
analyzing
the
cycle.
In
order
to
obtain
efficiently,
this
paper
utilizes
airborne
LiDAR
data
research
applicability
different
feature
screening
methods
in
combination
with
machine
learning
model.
First,
Spearman’s
Correlation
Coefficient
(SCC)
Extreme
Gradient
Boosting
tree
(XGBoost)
were
used
screen
out
variables
that
extracted
via
Airborne
a
higher
correlation
stock.
Then,
Bagging,
K-nearest
neighbor
(KNN),
Random
Forest
(RF)
construct
results
show
height
statistical
variable
more
strongly
correlated
stocks
than
density
are.
RF
suitable
construction
model
compared
instance-based
KNN
algorithm.
Furthermore,
XGBoost
algorithm
performs
best,
an
R2
0.85
MSE
10.74
on
training
set
0.53
21.81
testing
set.
This
study
demonstrates
effectiveness
construction.
has
wider
screening.