Monitoring
and
assessing
wetland
diversity
is
crucial
for
its
accurate
preservation.
Hyperspectral
satellites
have
been
proven
effective
detailed
investigations
of
plant
in
large
areas.
However,
it's
unclear
if
spectral
can
represent
landscape
or
the
inversion
accuracy
changes
with
spatial
scale.
In
this
study,
we
utilized
support
vector
machine
method
supervised
classification
ZY1-02D
hyperspectral
remote
sensing
images
Yellow
River
Estuary.
Subsequently,
indices
(community
richness,
Shannon-Wiener
index,
Simpson
Pielou
index)
(coefficient
variation,
convex
hull
volume,
eight
vegetation
indices)
were
calculated
coastal
wetlands.
We
then
used
a
random
forest
model
to
predict
based
on
diversity.
Finally,
explored
scale
relationship
between
The
results
showed
that
overall
Estuary
was
91.53%,
Kappa
coefficient
0.90.
Spectral
had
best
effect
maximum
57%,
followed
by
index
(56%),
community
richness
(48%),
finally
(43%).
each
increased
first
stabilized
scale,
reaching
stability
at
plot
size
2880×2880
m.
study
indicate
data
monitor
pattern
affected
type
effects.
findings
provide
new
perspective
conservation
management
large-scale
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 4, 2023
Abstract
It
can
be
argued
that
despite
years
of
research,
the
true
impacts
oil
spill
pollution
on
environment
and
human
sources
livelihoods
are
yet
to
completely
understood.
Tools
such
as
environmental
sensitivity
index
(ESI)
mapping
provide
useful
information
significantly
mitigate
or
help
eliminate
known
crude
pollution,
by
proactively
identifying
environmentally
sensitive
areas.
This
study
adapted
analytical
hierarchy
process
(AHP)
geographic
systems
(GIS)
based
multiple
criteria
analysis
(MCA)
approach
in
objective
determination
sections
NDR
coastal
areas,
combining
several
competing
related
evaluation
criteria.
The
AHP
was
used
determine
assign
relative
weights
data
layers
through
a
pairwise
comparison
matrix
mutually
exclusive
using
Delphi
technique,
while
MCA
aggregate
into
single
map.
results
show
over
57%
area
is
one
form
other.
68%
identified
areas
classified
extremely
with
11,752.14km
2
,
7.1%
less
sensitive.
classification
termed
Niger
Delta
Relative
Environmental
Sensitivity
Index
(NDRESI).
implication
these
more
has
done
if
very
conserved
tougher
legislations,
monitoring
education.
Authorea (Authorea),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 25, 2024
As
an
essential
pathway
for
nature-based
solutions,
vegetation
restoration
can
effectively
absorb
carbon
sequestration
and
mitigate
global
warming.
However,
the
excessive
water
consumption
by
expansion
may
create
potential
conflicts
between
natural
ecosystems
human
systems,
even
exacerbate
local
shortages,
especially
in
water-limited
dryland
regions.
By
evaluating
availability
using
multiple
datasets,
this
study
explored
allowable
conversion
China’s
drylands
under
constraint
of
availability.
We
found
that
additional
resources
available
were
2.7
±
11
mm
(median
SD)
from
2003
to
2018
but
it
decreased
over
period
(-1.15
yr-1).
45.0%
area
had
deficits,
after
considering
existing
consumption.
Under
current
constraints,
gross
primary
productivity
(GPP)
could
be
restored
ranged
4%
7%
depending
on
types
(7.1%
forests,
6.1%
grasslands,
4.3%
irrigated
crops,
5.6%
rain-fed
crops).
In
surplus
areas,
primarily
south
east
drylands,
most
conversions
toward
higher-water-consumption
allowed
occur.
deficit
west
converting
all
less
water-intensive
would
not
compensate
regions,
suggesting
have
exceeded
water-carrying
capacity.
Our
research
highlights
importance
provides
guidance
decision-making
while
ensuring
sustainability.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Oct. 31, 2024
Despite
the
ecological
importance,
there
is
a
large
knowledge
gap
on
different
habitat
types
of
Hyrcanian
World
Heritage.
The
Common
Cypress
Habitats
(HCCHs),
easternmost
part
habitats
in
world,
are
one
these
types.
HCCHs
understudied
and
threatened
by
variety
anthropogenic
disturbances.
In
current
study,
synthesizing
floristic
data
all
HCCHs,
we
compared
species
composition
to
20
from
Hyrcanian,
Irano-Turanian,
Mediterranean
regions.
Also,
candidate
HCCH
with
highest
conservation
priority
calculating
phylogenetic
richness
HCCHs.
ordination
analysis
results
showed
that
form
distinct
group
three
Thus,
found
have
unique
composition.
geographical
distance
had
weak
effect
grouping
(Procrustes
Sum
Squares
=
0.886
p-value
<
0.001).
We
also
detected
Golestan
National
Park
which
Therefore,
this
park
most
value.
Our
provide
new
insights
into
status
conclude
bioclimatic
classifications
might
be
better
predictor
compositions
than
biogeographical
classifications.
Based
observation
intermediate
composition,
it
necessary
reconsider
region.
findings
useful
for
developing
management
strategies
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 21, 2024
Abstract
Numerous
species
are
at
risk
of
extinction
due
to
habitat
degradation
caused
by
human
activity
and
global
warming.
Using
the
optimized
MaxEnt
Marxan
models,
we
investigated
relationship
between
richness
various
factors
predicting
rare
Michelia
based
on
distribution
data
natural
ecological
in
China.
Additionally,
national
nature
reserves
parks
were
overlaid
with
priority
conservation
zones
having
irreplaceability
values
ranging
from
80
100
identify
gaps.
The
findings
indicate
that
found
southern
Yunnan
Province,
which
exhibits
highest
concentration.
high
expected
shrink
0.62×104km2
under
future
climate
scenarios.
Northern
latitudes
higher
altitudes
offer
better
habitats
for
majority
species.
With
intensification
change,
it
is
anticipated
this
migration
will
exceed
150
km.
Priority
primarily
located
southeastern
part
Tibet
Autonomous
Region,
south-central
central
Sichuan
western
Chongqing
Municipality,
Guizhou
northern
Guangxi
Zhuang
Hunan
Guangdong
eastern
parts
Jiangxi
northwestern
Fujian
Zhejiang
Taiwan
southwestern
Hainan
Province.
These
account
only
0.86%
land
area
China,
6.6×104km2
prioritized
not
yet
designated
as
or
parks.
To
effectively
embody
principle
'green
mountains
golden
mountains,'
recommend
expanding
within
enhancing
measures.
Diversity,
Journal Year:
2024,
Volume and Issue:
17(1), P. 30 - 30
Published: Dec. 31, 2024
Phytogeographic
transition
zones
are
often
considered
areas
rich
in
biodiversity
due
to
their
ecological
and
landscape
diversity.
This
study
constitutes
the
first
floristic
investigation
of
Sharaan
Natural
Reserve
(SNR)
located
northwest
KSA,
which
is
supposed
be
a
phytogeographic
zone
its
location
between
central
country
dominated
by
Saharo-Arabic
flora
northern
characterized
Mediterranean
Irano-Turanian
affinities.
The
studies
carried
out
vegetation
season
from
2022
2024
led
identification
166
plant
taxa
belonging
38
botanical
families.
SNR
Therophytes,
while
Saharo-Arabian
element
dominates
chorology
taxa.
comparative
analysis
compared
available
literature
on
published
inventories
different
regions
has
confirmed
affinities
reserve,
especially
with
Nefud
regions.
Among
identified
plants,
13
were
not
mentioned
44
consulted
references
seem
more
or
less
exclusive
reserve/phytogeographic
region.
Also,
12
Least
Concern
according
IUCN
red
list
presence
Calligonum
comosum
L’Hér.
allows
classification
natural
habitat
(dunes)
as
Critical
Habitat
PS6
criteria.
reports
that
transitional
area
significant
number
(43)
(21)
mixed
dominant
species.
region
contains
diverse
biogeographical
situation
protection
closure.
conservation
should
strengthened
extended
other
neighboring
same
biological
wealth.
PhytoKeys,
Journal Year:
2023,
Volume and Issue:
224, P. 183 - 192
Published: April 7, 2023
Endiandramacrocarpa,
a
new
species
of
Endiandra
(Lauraceae)
from
Yunnan
Province
south-western
China,
is
here
described
and
illustrated,
based
on
morphological
evidence.
Compared
to
other
occurring
in
south
China
the
adjacent
regions
Indochina,
this
mainly
characterised
by
its
much
larger
ellipsoidal
fruits
(up
11
×
6
cm),
as
well
glabrous
branchlets
puberulent
inflorescences.
Monitoring
and
assessing
wetland
diversity
is
crucial
for
its
accurate
preservation.
Hyperspectral
satellites
have
been
proven
effective
detailed
investigations
of
plant
in
large
areas.
However,
it's
unclear
if
spectral
can
represent
landscape
or
the
inversion
accuracy
changes
with
spatial
scale.
In
this
study,
we
utilized
support
vector
machine
method
supervised
classification
ZY1-02D
hyperspectral
remote
sensing
images
Yellow
River
Estuary.
Subsequently,
indices
(community
richness,
Shannon-Wiener
index,
Simpson
Pielou
index)
(coefficient
variation,
convex
hull
volume,
eight
vegetation
indices)
were
calculated
coastal
wetlands.
We
then
used
a
random
forest
model
to
predict
based
on
diversity.
Finally,
explored
scale
relationship
between
The
results
showed
that
overall
Estuary
was
91.53%,
Kappa
coefficient
0.90.
Spectral
had
best
effect
maximum
57%,
followed
by
index
(56%),
community
richness
(48%),
finally
(43%).
each
increased
first
stabilized
scale,
reaching
stability
at
plot
size
2880×2880
m.
study
indicate
data
monitor
pattern
affected
type
effects.
findings
provide
new
perspective
conservation
management
large-scale