People and Nature,
Journal Year:
2024,
Volume and Issue:
6(2), P. 906 - 918
Published: March 1, 2024
Abstract
Over
the
past
few
decades,
social‐ecological
transformations
have
contributed
to
restoration
of
numerous
carnivores,
presenting
new
challenges
for
human‐wildlife
coexistence.
Evaluating
and
understanding
interaction
dynamics,
particularly
conflict‐prone
species,
is
crucial
conservation
management
strategies.
Our
study
focuses
on
Asiatic
Black
Bear
(
Ursus
thibetanus
)
in
Western
Yunnan,
China,
a
region
with
favourable
bear
conditions
significant
environmental
changes
due
policies.
This
employed
multifaceted
approach
gather
data
occurrences
human‐bear
conflicts.
Utilising
species
distribution
models,
we
predicted
potential
habitat
2000
2020.
We
proposed
methodology
integrating
human
footprint
delineate
interface.
Additionally,
evaluated
spatial–temporal
variations
interface
between
Semi‐structured
interviews
were
conducted
capture
perceptions
local
communities
regarding
population,
interactions
findings
indicated
that
habitats
bears
strongly
influenced
by
forest
cover.
noticed
improvements
from
2020,
notwithstanding
localised
losses
specific
areas.
Most
respondents
attributed
increasing
population
reduced
impact
during
this
period.
Notably,
proportion
supported
policies,
previously
participating
their
formulation
implementation.
analysis
further
revealed
increases
Remarkably,
these
did
not
significantly
diminish
communities'
endorsement
resilience
can
be
net
positive
impacts
policies
livelihoods
communities.
highlights
complexity
dynamic
nature
within
system
provides
insights
facilitate
sustainable
measures.
Read
free
Plain
Language
Summary
article
Journal
blog.
Global Change Biology,
Journal Year:
2023,
Volume and Issue:
29(13), P. 3723 - 3746
Published: April 7, 2023
Climate
has
critical
roles
in
the
origin,
pathogenesis
and
transmission
of
infectious
zoonotic
diseases.
However,
large-scale
epidemiologic
trend
specific
response
pattern
diseases
under
future
climate
scenarios
are
poorly
understood.
Here,
we
projected
distribution
shifts
risks
main
change
China.
First,
shaped
global
habitat
host
animals
for
three
representative
(2,
6,
12
hosts
dengue,
hemorrhagic
fever,
plague,
respectively)
with
253,049
occurrence
records
using
maximum
entropy
(Maxent)
modeling.
Meanwhile,
predicted
risk
above
197,098
disease
incidence
from
2004
to
2017
China
an
integrated
Maxent
modeling
approach.
The
comparative
analysis
showed
that
there
exist
highly
coincident
niche
distributions
between
diseases,
indicating
is
accurate
effective
predicting
potential
On
this
basis,
further
current
11
four
concentration
pathways
(RCPs)
(RCP2.6,
RCP4.5,
RCP6.0,
RCP8.5)
2050
2070
1,001,416
records.
We
found
Central
China,
Southeast
South
concentrated
regions
high
More
specifically,
had
diverse
shift
patterns
including
increase,
decrease,
unstable.
Further
correlation
indicated
these
were
correlated
warming
precipitation
increase.
Our
results
revealed
how
respond
a
changing
climate,
thereby
calling
administration
prevention
strategies.
Furthermore,
will
shed
light
on
guiding
prediction
emerging
change.
Forests,
Journal Year:
2023,
Volume and Issue:
14(6), P. 1220 - 1220
Published: June 13, 2023
In
China,
the
invasion
of
Spartina
alterniflora
is
an
important
driver
for
decrease
mangrove
area
and
ecological
service
functions
related
to
this
habitat.
past
few
decades,
S.
clearing
restoration
projects
have
mainly
focused
on
areas
where
it
already
changed
but
ignored
potential
distribution
areas.
This
study
suggested
that
implementation
protection
prior
with
threat
could
greatly
improve
efficiency
save
costs.
Thus,
using
Maximum
Entropy
Modeling
(MaxEnt),
we
estimated
spatial
both
mangroves
in
considering
current
data,
topographical,
sediments,
sea
surface
temperature
bioclimatic
variables.
What’s
more,
identified
calculated
distributed
each
province.
We
aimed
explore
(i)
key
factors
determining
along
coastline
(ii)
hotspots
their
competitive
occurrence,
including
degradation
areas,
order
support
conservation.
The
model
showed
distance
topography
play
roles
alterniflora,
while
were
more
sensitive
range
annual
temperature.
Our
results
furthermore
confirm
has
a
wider
(~10,585
km2)
than
(~9124
at
China;
predict
provinces
Zhangzhou,
Quanzhou,
Zhanjiang,
Beihai
Wenzhou
as
competition
between
alterniflora.
propose
priority
should
be
given
or
plants
those
which
are
co-suitable
these
management
measures
conducted
hinder
invasions
clear
existing
plants,
firstly.
provides
guidance
native
species
by
preventing
biological
invasion.
Agriculture,
Journal Year:
2021,
Volume and Issue:
11(11), P. 1122 - 1122
Published: Nov. 10, 2021
Climate
change
has
dramatic
impacts
on
the
growth
and
geographical
distribution
of
tea
(Camellia
sinensis
L.).
Assessing
potential
will
help
decision
makers
to
formulate
appropriate
adaptation
measures
use
altered
climatic
resources
avoid
damage
from
climate
hazards.
The
objective
in
this
study
is
model
current
future
species
based
four
SSPs
scenarios
using
MaxEnt
China.
For
modeling
procedure,
records
410
sites
9
variables
were
used
paper.
area
under
receiver
operating
characteristic
(ROC)
curve
(AUC)
was
evaluate
performance
model.
AUC
value
over
0.9
study,
showing
excellent
simulation
result
In
relation
distribution,
areas
82.01
×
104
km2
(8.51%
total
land
China),
115.97
(12.03%
67.14
(6.97%
China)
recognized
as
Marginal,
Medium,
Optimal
suitable
habitats
for
Compared
most
suitability
southeast
China
would
be
lost
scenarios.
Marginal
Medium
expand
SSP370
SSP585,
especially
2041–2061
2081–2100.
northwards
westwards,
suggesting
that
additional
new
could
created
production
with
change,
Shandong,
Henan,
Guizhou,
Yunnan
Provinces.
This
research
provide
vital
scientific
understanding
policy
making
production,
garden
site
chosen
adopyion
methods
future.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: March 30, 2024
Abstract
Climate
change
is
among
the
greatest
drivers
of
biodiversity
loss,
threatening
up
to
15–30%
described
species
by
end
twenty-first
century.
We
estimated
current
suitable
habitat
and
forecasted
future
distribution
ranges
Indian
pangolin
(
Manis
crassicaudata
)
under
climate
scenarios.
collected
occurrence
records
using
burrow
counts,
remote
camera
previously
published
literature
in
Pakistan
during
2021–2023.
downloaded
bioclimatic
data
for
(1970–2000)
(2041–2060,
2061–2080,
2081–2100)
scenarios
from
WorldClim
database
Hadley
Global
Environment
Model
(HadGEM3-GC31-LL).
used
MaxEnt
software
predict
distributions
pangolin,
then
computed
amount
lost,
gained,
unchanged
across
periods.
obtained
560
occurrences
overall,
175
study,
385
our
search.
accuracy
was
very
good
(AUC
=
0.885,
TSS
0.695),
jackknife
tests
variable
importance
showed
that
contribution
annual
mean
temperature
(bio1)
(33.4%),
followed
coldest
quarter
(bio-12,
29.3%),
seasonality
(bio
4,
25.9%),
precipitation
15,
11.5%).
The
maxent
model
predicted
time
period
highly
(7270
km
2
,
2.2%),
moderately
(12,418
3.7%),
less
(49,846
14.8%),
unsuitable
(268,355
79.4%).
Highly
decreased
western
part
study
area
most
SSPs
central
parts
it
declined
all
loss
(26.97%)
SSP
585
126
(23.67%)
2061–2080.
gain
than
losses
on
average
which
ranged
between
1.91
13.11%
While
stable
64.60
83.85%
Our
provides
face
a
changing
climate.
findings
could
be
helpful
policymakers
set
conservation
strategies
Pakistan.
Global Change Biology,
Journal Year:
2023,
Volume and Issue:
29(20), P. 5744 - 5759
Published: July 17, 2023
Ongoing
anthropogenic
change
is
altering
the
planet
at
an
unprecedented
rate,
threatening
biodiversity,
and
ecosystem
functioning.
Species
are
responding
to
abiotic
pressures
both
individual
population
levels,
with
changes
affecting
trophic
interactions
through
consumptive
pathways.
Collectively,
these
impacts
alter
goods
services
that
natural
ecosystems
will
provide
society,
as
well
persistence
of
all
species.
Here,
we
describe
physiological
behavioral
responses
species
global
on
levels
result
in
detectable
diet
across
terrestrial
marine
ecosystems.
We
illustrate
shifts
dynamics
food
webs
implications
for
animal
communities.
Additionally,
highlight
myriad
tools
available
researchers
investigate
consumption
patterns
interactions,
arguing
data
a
crucial
component
ecological
studies
change.
suggest
holistic
approach
integrating
complexities
choice
environmental
drivers
may
be
more
robust
resolving
trends
predicting
web
responses,
potentially
identifying
early
warning
signs
diversity
loss.
Ultimately,
despite
growing
body
long-term
datasets,
there
remains
dearth
ecology
temporal
scales,
shortcoming
must
resolved
elucidate
vulnerabilities
changing
biophysical
conditions.