Electronics,
Journal Year:
2024,
Volume and Issue:
13(18), P. 3755 - 3755
Published: Sept. 21, 2024
As
the
core
technology
of
artificial
intelligence,
salient
object
detection
(SOD)
is
an
important
approach
to
improve
analysis
efficiency
remote
sensing
images
by
intelligently
identifying
key
areas
in
images.
However,
existing
methods
that
rely
on
a
single
strategy,
convolution
or
Transformer,
exhibit
certain
limitations
complex
scenarios.
Therefore,
we
developed
Dual-Stream
Feature
Collaboration
Perception
Network
(DCPNet)
enable
collaborative
work
and
feature
complementation
Transformer
CNN.
First,
adopted
dual-branch
extractor
with
strong
local
bias
long-range
dependence
characteristics
perform
multi-scale
extraction
from
Then,
presented
Multi-path
Complementary-aware
Interaction
Module
(MCIM)
refine
fuse
representations
targets
global
branches,
achieving
fine-grained
fusion
interactive
alignment
features.
Finally,
proposed
Weighting
Balance
(FWBM)
balance
features,
preventing
model
overemphasizing
information
at
expense
details
inadequately
mining
cues
due
excessive
focus
information.
Extensive
experiments
EORSSD
ORSSD
datasets
demonstrated
DCPNet
outperformed
current
19
state-of-the-art
methods.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(3), P. 488 - 488
Published: Jan. 30, 2025
Net
primary
productivity
(NPP)
is
a
core
ecological
indicator
within
terrestrial
ecosystems,
representing
the
potential
of
vegetation
growth
to
offset
anthropogenic
carbon
emissions.
Thus,
assessing
NPP
in
given
region
crucial
for
promoting
regional
restoration
and
sustainable
development.
This
study
utilized
CASA
model
GEE
calculate
annual
average
Shandong
Province
(2001–2020).
Through
trend
analysis,
Moran’s
Index,
PLS−SEM,
spatiotemporal
evolution
driving
factors
were
explored.
The
results
show
that:
(1)
From
2001
2020,
showed
an
overall
increasing
trend,
rising
from
254.96
322.49
g
C·m⁻2/year.
shift
was
accompanied
by
gradual
eastward
movement
centroid,
indicating
significant
spatial
changes
productivity.
(2)
Regionally,
47.9%
experienced
improvement,
27.6%
saw
slight
20.1%
exhibited
degradation,
highlighting
notable
heterogeneity.
(3)
Driver
analysis
that
climatic
positively
influenced
across
all
four
periods
(2005,
2010,
2015,
2020),
with
strongest
impact
2015
(coefficient
=
0.643).
Topographic
such
as
elevation
slope
also
had
positive
effects,
peaking
at
0.304
2015.
In
contrast,
human
activities,
especially
GDP
nighttime
light
intensity,
negatively
impacted
NPP,
negative
effect
2010
−0.567).
These
findings
provide
valuable
scientific
evidence
ecosystem
management
offer
key
insights
development
strategies
national
level.
International Journal of Digital Earth,
Journal Year:
2025,
Volume and Issue:
18(1)
Published: Jan. 3, 2025
In
addressing
global
climate
change
and
promoting
economic
growth,
achieving
a
comprehensive
carbon
balance
at
the
county
level
is
vital
for
sustainable
development.
However,
most
studies
focus
on
between
emissions
sequestration
(CESB),
neglecting
intricate
ecological
(EECB)
this
scale.
This
study
introduces
an
analytical
framework
that
couples
development
with
protection
by
using
coupling
coordination
degree
analysis,
zoning,
Markov-PLUS
model.
Taking
Jiangxi
Province
as
case
study,
we
evaluate
spatio-temporal
dynamics
of
from
2000–2020
predict
future
trends
2030
under
four
potential
scenarios.
Results
reveal
significant
regional
variations
in
CESB
over
two
decades,
which
primarily
exhibit
net
emission.
Meanwhile,
continuous
decline
EECB
highlights
need
balanced
By
2030,
land
use's
capacity
expected
to
increase
different
scenarios,
leading
'middle-high,
sides-low'
spatial
pattern
CESB.
These
findings
are
crucial
policymakers
devising
strategies
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(2), P. 203 - 203
Published: Jan. 8, 2025
Global
climate
fluctuations
pose
challenges
not
only
to
natural
environments
but
also
the
conservation
and
transmission
of
human
cultural
historical
heritage.
World
Heritage
Sites
are
pivotal
regions
for
studying
change
impacts
devising
adaptation
strategies,
with
remote
sensing
technology
showcasing
significant
utility
in
monitoring
these
impacts,
especially
Mediterranean
region’s
diverse
sensitive
context.
Although
existing
work
has
begun
explore
role
effects
change,
detailed
analysis
spatial
distribution
temporal
trends
landscape
stability
remains
limited.
Leveraging
data
its
derived
products,
this
study
assessed
on
Causses
Cévennes
Site,
a
typical
heritage
landscape.
Specifically,
utilized
analyze
various
climatic
factors
from
1985
2020.
The
model
was
developed
utilizing
land
cover
information
indicators
features
within
area.
Finally,
we
adopted
Geographical
Detector
quantify
extent
which
influence
stability’s
across
different
periods.
results
demonstrated
that
(1)
showed
warming
drying
pattern
during
period,
distinct
characteristics
zones.
(2)
dominance
woodland
decreased
(area
proportion
dropped
76%
66.5%);
transitions
primarily
occurred
among
woodland,
cropland,
shrubland,
grasslands;
fragmentation
intensified;
development
towards
diversification
uniformity
observed.
(3)
Significant
spatiotemporal
differences
site
were
noted,
an
overall
downward
trend.
(4)
Precipitation
had
high
contribution
rate
factor
detection,
interactive
enhancement
between
temperature
precipitation
being
most
prominent.
present
delivers
thorough
examination
how
affects
Landscape,
reveals
vulnerabilities,
offers
crucial
sustainable
efforts.
Moreover,
offer
guidance
preservation
similar
sites
contribute
advancement
deepening
global
initiatives.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(16), P. 3008 - 3008
Published: Aug. 16, 2024
With
global
climate
change
and
irrational
human
activities,
regional
water
resource
conflicts
are
becoming
more
pronounced.
The
availability
of
in
watersheds
can
be
indicated
by
the
yield.
Exploring
factors
that
influence
yield
is
crucial
responding
to
protecting
resource.
Previous
research
on
influencing
has
frequently
adopted
a
macro-level
perspective,
which
failed
reflect
mechanisms
changes
at
local
scale
adequately.
Therefore,
this
study
proposes
novel
framework
for
integrally
evaluating
impacts
activities
services
from
both
perspectives.
Taking
Ganzhou
City,
source
Ganjiang
River,
as
an
example,
results
show
following:
(1)
City
had
largest
1307.29
mm
2016,
lowest
was
only
375.32
2011.
spatial
distribution
pattern
mainly
affected
surface
environment,
high-value
regions
area
were
predominantly
located
urban
areas
with
flat
terrain.
(2)
At
scale,
where
contribute
than
80%
accounted
25%
area.
In
comparison,
impact
0.95%.
contribution
rate
significantly
greater
change.
(3)
simulation
four
scenarios
contributed
(>98%)
yield,
higher
(<2%).
This
puts
forward
pioneering
views
driving
forces
provides
valuable
theoretical
basis
protection
ecological
environment
construction.
Indus journal of bioscience research.,
Journal Year:
2025,
Volume and Issue:
3(1), P. 14 - 19
Published: Jan. 5, 2025
This
study
investigates
the
ichthyofaunal
diversity
of
River
Indus
in
District
Swabi,
Pakistan,
focusing
on
confluence
Kabul
and
Indus.
The
was
conducted
from
February
to
April
2024,
aiming
assess
fish
species
composition,
abundance,
distribution
across
two
sampling
sites:
Nabi
Jehangira.
A
total
20
10
families
were
identified,
with
Cyprinidae
being
most
dominant
family,
comprising
40%
specimens
collected.
higher
at
Jehangira
(16
species)
compared
(12
species),
likely
due
environmental
factors
such
as
water
quality
sediment
deposition.
Environmental
parameters,
including
temperature
(18°C
22°C),
turbidity,
flow
rate,
recorded
found
influence
distribution.
Species
abundance
linked
seasonal
variations,
particularly
spawning
behaviors
before
monsoon
floods.
also
highlights
ecological
impact
invasive
like
Cyprinus
carpio
Pangasius
pangasius,
which
may
threaten
native
populations.
findings
emphasize
importance
habitat
conditions
timing
understanding
biodiversity
river
ecosystems.
Future
research
should
include
year-round
capture
broader
fluctuations
further
investigate
impacts
local
biodiversity.
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(2)
Published: Feb. 1, 2025
Understanding
biodiversity
is
essential
for
preserving
the
stability
of
river
ecosystems.
However,
impact
landscape
configurations
and
seasonal
variations
on
within
undammed
ecosystems
remains
unexplored.
Therefore,
we
selected
Chishui
River-a
naturally
flowing
tributary
upper
Yangtze
River-for
a
survey
periphytic
algae.
The
present
study
focuses
fluctuations
in
β-diversity
algae
River
its
correlation
with
surrounding
patterns.
Our
findings
indicate
that
there
substantial
influence
community
structure
these
ecosystem.
Concurrently,
observed
turnover
component
predominantly
contributes
to
β-diversity.
In
light
findings,
recommend
conservation
measures
be
implemented
across
entire
basin
safeguard
regional
biodiversity.
Redundancy
analysis
elucidated
water
temperature,
conductivity,
pH
were
primary
environmental
drivers
shaping
algal
communities.
Furthermore,
additional
analyses
using
random
forest
model
indicated
fragmentation
complexity
key
determinants
Notably,
number
patches
was
strongly
correlated
It
important
highlight
maintaining
an
optimal
balance
between
their
size
crucial
enhancing
ecosystem's
capacity
preserve
summary,
our
provide
insights
into
interplay
land-use
practices
complex
riverine
environments,
thereby
offering
scientific
foundation
management