Water,
Год журнала:
2024,
Номер
16(9), С. 1273 - 1273
Опубликована: Апрель 29, 2024
Dongting
Lake
wetland
is
a
typical
lake
in
the
Middle
and
Lower
Yangtze
River
Plain
China.
Due
to
influence
of
natural
human
activities,
landscape
pattern
has
changed
significantly.
This
study
used
12
Landsat
images
from
1991
2022
applied
three
common
classification
methods
(support
vector
machine,
maximum
likelihood,
CART
decision
tree)
extract
classify
information,
with
latter
having
superior
annual
accuracy
over
90%.
Based
on
tree
results,
dynamic
characteristics
spatial
patterns
were
analyzed
through
index,
degree
model,
transition
matrix
model.
Redundancy
grey
correlation
analysis
employed
investigate
driving
factors.
The
results
showed
increased
fragmentation,
reduced
heterogeneity,
complexity
2022.
water
mudflat
areas
exhibited
distinct
stages:
gradual
decline
until
2001
(−3.06
km2/a);
sharp
decrease
2014
(−19.44
steady
increase
(22.93
km2/a).
Vegetation
conversion,
particularly
between
sedge
reed,
dominated
change
pattern.
Reed
area
initially
(18.88
km2/a),
then
decreased
(−35.89
while
opposite
trend.
Woodland
fluctuated,
peaking
2016
declined
by
construction
Three
Gorges
Dam
significantly
altered
dynamics
level
changes,
reflected
4.03%
comprehensive
during
2001–2004.
Potential
evaporation
also
emerged
as
significant
factor,
exhibiting
negative
index.
During
1991–2001
2004–2022,
explanatory
rates
temperature,
precipitation,
potential
evaporation,
88.56%
52.44%,
respectively.
Other
factors
like
policies
socio-economic
played
crucial
role
change.
These
findings
offer
valuable
insights
into
evolution
mechanisms
wetland.
Water,
Год журнала:
2024,
Номер
16(24), С. 3674 - 3674
Опубликована: Дек. 20, 2024
The
spatial
heterogeneity
of
soil
nutrients
is
crucial
for
the
water
bird
and
whole
floodplain
wetland
ecosystem
in
large
lakes,
it
influenced
by
dramatic
level
changes
sedimentation
progress
West
Dongting
Lake
(WDL).
Soil
samples
were
collected
at
various
depths
along
Yuan
River
Li
that
feed
into
WDL.
concentrations
total
organic
carbon
(TOC),
nitrogen
(TN),
phosphorus
(TP),
grain
size
tested.
stoichiometric
ratios
C,
N,
P,
mean
value
(Mz)
calculated.
differences
TOC,
TN,
TP
ratio
different
sites
compared.
Linear
regression
was
used
to
explore
relationships
Mz
nutrient
concentrations,
between
TP.
Redundancy
analysis
relationship
nutrients,
heavy
metal
plant
community
diversity.
results
showed
distributions
differed
across
regions
west
Rivers.
Total
concentration
depths.
negative
effect
with
this
region.
Plant
diversity
correlated
positively
TOC
negatively
Hg.
N
limited
despite
high
wet
deposition
N.
It
could
potentially
be
attributed
insufficient
presence
aerobic
environments
microbes
during
intermittent
flooding
floodplain,
coupled
feeble
mineralization.
This
study
can
provide
valuable
insights
conservation
habitats
ecosystems.
Water,
Год журнала:
2024,
Номер
16(9), С. 1273 - 1273
Опубликована: Апрель 29, 2024
Dongting
Lake
wetland
is
a
typical
lake
in
the
Middle
and
Lower
Yangtze
River
Plain
China.
Due
to
influence
of
natural
human
activities,
landscape
pattern
has
changed
significantly.
This
study
used
12
Landsat
images
from
1991
2022
applied
three
common
classification
methods
(support
vector
machine,
maximum
likelihood,
CART
decision
tree)
extract
classify
information,
with
latter
having
superior
annual
accuracy
over
90%.
Based
on
tree
results,
dynamic
characteristics
spatial
patterns
were
analyzed
through
index,
degree
model,
transition
matrix
model.
Redundancy
grey
correlation
analysis
employed
investigate
driving
factors.
The
results
showed
increased
fragmentation,
reduced
heterogeneity,
complexity
2022.
water
mudflat
areas
exhibited
distinct
stages:
gradual
decline
until
2001
(−3.06
km2/a);
sharp
decrease
2014
(−19.44
steady
increase
(22.93
km2/a).
Vegetation
conversion,
particularly
between
sedge
reed,
dominated
change
pattern.
Reed
area
initially
(18.88
km2/a),
then
decreased
(−35.89
while
opposite
trend.
Woodland
fluctuated,
peaking
2016
declined
by
construction
Three
Gorges
Dam
significantly
altered
dynamics
level
changes,
reflected
4.03%
comprehensive
during
2001–2004.
Potential
evaporation
also
emerged
as
significant
factor,
exhibiting
negative
index.
During
1991–2001
2004–2022,
explanatory
rates
temperature,
precipitation,
potential
evaporation,
88.56%
52.44%,
respectively.
Other
factors
like
policies
socio-economic
played
crucial
role
change.
These
findings
offer
valuable
insights
into
evolution
mechanisms
wetland.
