Phacellanthus
tubiflorus
Sieb.
et
Zucc,
a
medicinal
parasitic
herb
belonging
to
the
Loranthaceae
family,
thrives
in
Changbai
Mountain
region,
encompassing
China,
Korean
Peninsula,
and
Japan.
Despite
its
significance
traditional
tonic
wine
brewing,
limited
information
is
available
regarding
resources.
This
study,
employing
field
surveys,
predictions,
simulations,
systematically
delineates
morphological
features
host
characteristics
of
P.
tubiflorus,
examining
impact
climatic
geographical
factors
on
distribution.
By
analyzing
51
records
considering
7
environmental
using
MaxEnt
model
ArcGIS,
research
unveils
tubiflorus’
concise
phenological
period,
predominantly
subterranean
life
cycle,
distribution
centered
Northeast
Asia.
The
model,
characterized
by
robust
AUC
value
0.990
standard
deviation
0.004,
emphasizes
influential
such
as
Precipitation
Warmest
Quarter
Temperature
Seasonality.
Concurrently,
current
global
explored
based
coverage
model.
These
findings
offer
valuable
insights
for
conservation,
management,
utilization
natural
Ecological Informatics,
Год журнала:
2024,
Номер
81, С. 102604 - 102604
Опубликована: Апрель 21, 2024
Correcting
sampling
bias
in
species
distribution
models
(SDMs)
is
challenging.
The
difficulty
lies
accurately
identifying
and
quantifying
the
scarcity
of
samples,
which
greatly
impedes
implementation
correction.
Current
methods
often
adjust
presence
or
background
points
within
geographic
environmental
spaces
to
correct
probability
estimation
SDMs.
However,
these
may
lead
information
loss,
rely
on
subjective
assumptions,
separate
geography
environment
when
correcting
for
bias.
This
study
proposes
a
novel
easily
implementable
method
termed
"aggregation
background."
selects
data
based
aggregation
degree
feature
space,
thereby
approximating
representation
correction
samples.
We
compared
this
new
with
other
prevalent
existing
literature
by
analyzing
ecological
authenticity.
Under
varying
biases
sample
sizes,
filtering
achieved
more
accurate
predictions
target
group
methods.
Notably,
size
was
small
(≤70),
superior
that
obtained
using
method.
These
findings
underscore
effectiveness
improving
limited
available
data,
without
relying
assumptions
about
Our
provides
approach
complex
unknown
Ecology and Evolution,
Год журнала:
2024,
Номер
14(7)
Опубликована: Июль 1, 2024
Abstract
Reaumuria
songarica
,
a
drought‐resistant
shrub,
is
widely
distributed
and
plays
crucial
role
in
the
northern
deserts
of
China.
It
key
species
for
desert
rehabilitation
afforestation
efforts.
Using
Maxent
model
to
predict
suitable
planting
areas
R.
an
important
strategy
combating
desertification.
With
184
occurrence
points
13
environmental
variables,
optimized
has
identified
main
limiting
factors
its
distribution.
Distribution
patterns
variation
trends
were
projected
current
future
climates
(2030s,
2050s,
2070s,
2090s)
different
scenarios
(ssp_126,
ssp_370,
ssp_585).
Results
show
that
setting
parameters
RM
(regulation
multiplier)
=
4
FC
(feature
combination)
LQHPT
yields
with
good
accuracy
high
reliability.
Currently,
primarily
control
eight
provinces
autonomous
regions,
including
Inner
Mongolia,
Xinjiang,
Qinghai,
Ningxia.
The
total
area
148.80
×
10
km
2
representing
15.45%
China's
land
area.
Precipitation
(Precipitation
wettest
month,
warmest
quarter,
Annual
precipitation)
Ultraviolet‐B
seasonality
are
primary
growth
distribution
.
Mean
temperature
quarter
factor
driving
changes
under
climate
scenarios.
In
scenarios,
will
shrink,
center
shift
towards
higher
latitude,
potentially
indicate
further
highly
habitat
increased,
while
moderately
less
have
decreased.
Increased
precipitation
within
's
water
tolerance
range
favorable
reproduction.
cultivation
priority
should
be
given
exploring
utilizing
germplasm
resources.
Introduction
can
conducted
expanding
scientifically
effective
measures
implemented
protect
resources
contracting
regions.
findings
this
study
provide
theoretical
basis
addressing
desertification
resulting
from
change
offer
practical
insights
development,
utilization,
introduction,
Ecological Informatics,
Год журнала:
2023,
Номер
79, С. 102425 - 102425
Опубликована: Дек. 12, 2023
Invasive
species
are
the
major
cause
of
native
biodiversity
loss
and
extinction,
which
have
predominantly
affected
one
world's
'hottest
hotspots'
located
in
Western
Ghats,
India
with
varied
intensity.
Therefore,
present
study,
an
investigation
has
been
undertaken
to
model
potential
habitat
dominant
invasive
plant
(IPSs)
viz.,
Chromolaena
odorata
(L.)
R.M.King
&
H.Rob.
Lantana
camara
L.
current
future
climate
change
scenarios
by
evaluating
influence
bioclimatic
topographical
variables
using
distribution
modelling
(SDM).
The
study
exhibited
large
invasion
proliferation
C.
(33.01%)
(30.33%)
especially
Nilgiri
Biosphere
Reserve
(NBR)
under
scenario.
projections
derived
Shared
Socioeconomic
Pathways
Climate
Scenarios
datasets
(SSPs
126,
245,
370,
585)
demonstrated
a
significant
reduction
(>5.48%
WG),
while
surge
(>5.83%
WG)
barring
few
exceptions.
However,
highlighted
(45,262
sq.
km;
31.33%
SSP
126
(2021–40))
(33,844
23.43%
245
concentrations
were
observed
NBR
(L.
camara:
5711
12.6%;
odorata:
5090
15.04%)
southern
coasts.
introduces
comprehensive
novel
method
leveraging
SSPs
identify
hotspots
invasions
Indian
tropical
forests
ecological
niche
modelling.
These
findings
hold
relevance
for
prompt
actions
management
both
regions
susceptible
invasions.
Ecological Indicators,
Год журнала:
2024,
Номер
160, С. 111892 - 111892
Опубликована: Март 1, 2024
As
a
World
Natural
Heritage
Site
primarily
focused
on
protecting
migratory
bird
habitats,
the
Yancheng
coastal
wetland
is
also
an
important
land
resource
reserve
area
in
China.
With
long
history
of
reclamation,
impact
reclamation
waterbird
habitats
has
attracted
widespread
attention.
Therefore,
this
study
was
based
distribution
data
wintering
Anatidae
from
1987
to
2020
and
data.
The
landscape
development
intensity
(LDI)
index
MaxEnt
model
were
used
reveal
spatiotemporal
changes
identify
evolution
characteristics
habitats.
A
geographical
weight
regression
(GWR)
analyze
local
differences
for
results
showed
that
types
with
higher
increased
rapidly
2020,
overall
pattern
low
northeast
high
southwest.
high-intensity
range
5.01
∼
6.00,
western
Dafeng
Tiaozini
generally
greater
than
8.01
2020.
From
population
first
decreased
then
increased,
clear
southward
shift
spatial
distribution.
evaluation
suitable
revealed
most
significantly
declined
1280.76
hm2
1997
60.19
which
indicated
patch
space
high-quality
further
compressed.
greatest
positive
habitat
suitability
concentrated
near
Beihuanchong
area,
while
2007,
negative
mostly
distributed
northern
Hexin
area.
coefficient
ranged
−0.665
-0.513.
deteriorated
correlation
ranging
−1.642
-0.699.
There
significant
environmental
variables
different
periods.
In
study,
protection
restoration
proposed,
may
provide
reference
populations
structural
wetlands.
Folia oecologica,
Год журнала:
2025,
Номер
52(1), С. 48 - 61
Опубликована: Янв. 1, 2025
Abstract
The
populations
of
Dactylorhiza
hatagirea
are
shrinking
fast
across
the
north-western
Himalayas.
Although
effects
contemporary
anthropic
factors
on
its
distribution
well
documented,
impacts
anticipated
climate
change
have
not
been
evaluated.
In
present
study,
maximum
entropy
modelling
(MaxEnt)
was
used
to
quantify
impact
D.
over
next
50
years
under
representative
concentration
pathways
(RCP)
4.5
and
8.5,
using
ensemble
mean
four
general
circulation
models,
viz.
CCSM4,
CNRM,
MRI,
GFDL.
results
exhibited
a
fairly
good
model
performance,
with
attaining
highest
suitability
when
‘annual
temperature’
precipitation’
peaks
at
ca.
11.5
°C
1,250
mm,
respectively.
variables
greater
influence
(%)
were
annual
precipitation
(40.7),
temperature
wettest
quarter
(22.9),
seasonality
(16.6),
(10.4).
Under
current
climate,
about
790
km
2
that
spread
Kashmir
(274.1
km2)
Jammu
(210.5
),
Ladakh
(305.6
)
identified
as
high
potential
habitat
(HPH)
areas.
predicted
showed
for
RCP
HPH
areas
would
decrease
by
4.2
5.4%,
2050
2070,
while
RC
P8.5
be
18.1
8.7%,
shrinkage
may
more
obvious
tropical
temperate
regions,
species
gain
new
cold
arid
appears
mild,
but
it
exhibits
specificity
grows
inherently
slow,
this
insignificant
enhance
risk
local
extinction.
Therefore,
an
integrated
approach
involving
in-situ
measures
where
disappear,
ex-situ
measures,
expand,
is
hugely
important.
Forests,
Год журнала:
2025,
Номер
16(5), С. 715 - 715
Опубликована: Апрель 23, 2025
The
tropical
tree
species
Symplocos
cochinchinensis
plays
a
crucial
role
in
ecological
restoration
and
serves
as
resource
for
traditional
medicine,
dyeing,
timber
production.
Assessing
its
distribution
patterns
adaptive
responses
to
global
climate
change
is
essential
maintaining
ecosystems
developing
conservation
strategies.
This
study
elucidates
the
spatial
projects
potential
geographic
shifts
of
widely
distributed
S.
under
scenarios.
A
compilation
data
from
local
herbaria
databases
yielded
5050
occurrence
records,
covering
majority
native
range
tropics
subtropics.
We
modeled
species’
habitats
using
maximum
entropy
(MaxEnt)
principle
current,
2050,
2070
scenarios
high-emission
SSP585.
Our
analysis
reveals
that
sampling
bias
substantially
influences
observed
cochinchinensis.
Predictions
indicate
decrease
barely
suitable
an
increase
areas
deemed
highly
suitable,
suggesting
stress
niche
shift
towards
with
favorable
microclimates
“Precipitation
Wettest
Month”
(Bio
13)
“Mean
Temperature
Quarter”
8).
findings
reveal
cochinchinensis’s
resilience,
offering
valuable
insights
strategies
management
Southeast
Asia,
well
reference
response
other
common
change.