Ecosystem
services,
which
derive
in
part
from
biological
diversity,
are
a
fundamental
support
for
human
society.
However,
activities
causing
harm
to
biodiversity,
ultimately
endangering
these
critical
ecosystem
services.
Halting
nature
loss
and
mitigating
impacts
necessitates
comprehensive
biodiversity
distribution
data,
requirement
implementing
the
Kunming-Montreal
Global
Biodiversity
Framework.
To
efficiently
collect
species
observations
public,
we
launched
‘
Biome
’
mobile
application
Japan.
By
employing
identification
algorithms
gamification
elements,
app
has
gathered
>6M
since
its
launch
2019.
community-sourced
data
often
exhibit
spatial
taxonomic
biases.
Species
models
(SDMs)
enable
infer
while
accommodating
such
bias.
We
investigated
data’s
quality
how
incorporating
influences
performance
of
SDMs.
accuracy
exceeds
95%
birds,
reptiles,
mammals,
amphibians,
but
seed
plants,
molluscs,
fishes
scored
below
90%.
The
distributions
132
terrestrial
plants
animals
across
Japan
were
modeled,
their
was
improved
by
our
into
traditional
survey
data.
For
endangered
species,
required
>2,000
records
build
accurate
(Boyce
index
≥
0.9),
though
only
ca.300
when
two
sources
blended.
unique
may
explain
this
improvement:
covers
urban-natural
gradients
uniformly,
is
biased
towards
natural
areas.
Combining
multiple
offers
insights
Japan,
aiding
protected
area
designation
service
assessment.
Providing
platform
accumulate
improving
processing
protocol
will
contribute
not
conserving
ecosystems
also
detecting
changes
testing
ecological
theories.
Diversity and Distributions,
Journal Year:
2023,
Volume and Issue:
29(10), P. 1245 - 1262
Published: July 27, 2023
Abstract
Aim
Understanding
how
grain
size
affects
our
ability
to
characterize
species
responses
ongoing
climate
change
is
of
crucial
importance
in
the
context
an
increasing
awareness
for
substantial
difference
that
exists
between
coarse
spatial
resolution
macroclimatic
data
sets
and
microclimate
actually
experienced
by
organisms.
Climate
impacts
on
biodiversity
are
expected
peak
mountain
areas,
wherein
differences
macro
microclimates
precisely
largest.
Based
a
newly
generated
fine‐scale
environmental
Canary
Islands,
we
assessed
whether
at
100
m
able
provide
more
accurate
predictions
than
available
1
km
resolution.
We
also
analysed
future
suitability
island
endemic
bryophytes
differ
depending
grids.
Location
Islands.
Time
period
Present
(1979–2013)
late‐century
(2071–2100).
Taxa
Bryophytes.
Methods
compared
accuracy
using
ensemble
small
models
14
Macaronesian
bryophyte
species.
used
two
sets:
CHELSA
v1.2
(~1
km)
CanaryClim
v1.0
(100
m),
downscaled
version
latter
utilizing
from
local
weather
stations.
encompasses
five
individual
model
intercomparison
projects
three
warming
shared
socio‐economic
pathways.
Results
Species
distribution
exhibited
similar
accuracy,
but
predicted
buffered
trends
mid‐elevation
ridges.
consistently
returned
higher
proportions
suitable
pixels
(8%–28%)
(0%–3%).
Consequently,
proportion
occupy
uncertain
was
with
(3–8
species)
(0–2
species).
Main
conclusions
The
impacted
rather
performance
models.
Our
results
highlight
role
fine‐resolution
can
play
predicting
potential
both
microrefugia
new
range
under
climate.
Global Change Biology,
Journal Year:
2023,
Volume and Issue:
29(22), P. 6303 - 6318
Published: Aug. 21, 2023
The
TreeGOER
(Tree
Globally
Observed
Environmental
Ranges)
database
provides
information
for
most
known
tree
species
of
their
environmental
ranges
38
bioclimatic,
eight
soil
and
three
topographic
variables.
It
is
based
on
distribution
modelling
analyses
more
than
44
million
occurrences.
can
be
accessed
from
https://doi.org/10.5281/zenodo.7922927.
Statistics
that
include
5%
95%
quantiles
were
estimated
a
cleaned
taxonomically
standardized
occurrence
data
set
with
different
methods
outlier
detection,
estimates
roughly
45%
being
20
or
observation
records.
Where
sufficient
representative
observations
are
available,
the
provide
useful
preliminary
suitable
conditions
particularly
lesser-known
under
climate
change.
Inferred
core
bioclimatic
along
global
temperature
moisture
index
gradients
across
continents
follow
diversity
such
as
its
highest
levels
in
moist
tropical
forests
'odd
man
out'
pattern
lower
Africa.
To
demonstrate
how
large
numbers
easily
done
R
TreeGOER,
here
I
present
two
case
studies.
first
study
investigated
latitudinal
trends
vulnerability
compared
these
previous
results
obtained
urban
trees.
second
focused
areas,
longitudinal
zones
patterns
index.
expected
to
benefit
researchers
conducting
biogeographical
change
research
wide
range
at
variety
spatial
temporal
scales.
Among
the
most
widely
used
information
underpinning
international
conservation
efforts
is
IUCN
Red
List
of
endangered
species.
The
designates
species
extinction
risk
based
on
geographic
range,
population
size,
or
declines
in
either.
However,
Red-List
has
poor
representation
invertebrates
which
comprise
majority
animal
diversity,
and
it
frequently
been
questioned
whether
criteria
are
appropriate
for
these
organisms.
Due
to
their
small
difficulty
identification,
general
rarity,
many
hard
study,
making
difficult
apply.
Here
we
discuss
criticisms
context
empirical
evidence
from
one
largest
terrestrial
arthropod
surveys
date,
documenting
abundance
distribution
over
13,000
Sweden.
Using
simple
examples
data,
argue
that
even
ambitious
monitoring
unlikely
produce
enough
observations
reliably
estimate
sizes
ranges
more
than
a
fraction
Thus,
there
likely
be
substantial
uncertainty
classifying
according
current
criteria.
In
response,
introduction
potential
new
accurately
capture
needs
invertebrates,
increase
List.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2024,
Volume and Issue:
379(1902)
Published: April 7, 2024
European
grasslands
are
among
the
most
species-rich
ecosystems
on
small
spatial
scales.
However,
human-induced
activities
like
land
use
and
climate
change
pose
significant
threats
to
this
diversity.
To
explore
how
cover
will
affect
biodiversity
community
composition
in
grassland
ecosystems,
we
conducted
joint
species
distribution
models
(SDMs)
extensive
vegetation-plot
database
sPlotOpen
project
distributions
of
1178
across
Europe
under
current
conditions
three
future
scenarios.
We
further
compared
model
accuracy
computational
efficiency
between
SDMs
(JSDMs)
stacked
SDMs,
especially
for
rare
species.
Our
results
show
that:
(i)
communities
mountain
ranges
expected
suffer
high
rates
loss,
while
those
western,
northern
eastern
experience
substantial
turnover;
(ii)
scaling
anomalies
were
observed
predicted
richness,
reflecting
regional
differences
dominant
drivers
assembly
processes;
(iii)
JSDMs
did
not
outperform
predictive
power
but
demonstrated
superior
fitting
predicting;
(iv)
incorporating
co-occurrence
datasets
improved
performance
predicting
This
article
is
part
theme
issue
‘Ecological
novelty
planetary
stewardship:
dynamics
a
transforming
biosphere’.
Communications Biology,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: July 21, 2024
Abstract
The
global
biodiversity
crisis
is
generated
by
the
combined
effects
of
human-induced
climate
change
and
land
conversion.
Madagascar
one
World’s
most
renewed
hotspots
biodiversity.
Yet,
its
rich
variety
plant
animal
species
threatened
deforestation
change.
Predicting
future
Madagascar’s
chameleons,
in
particular,
complicated
their
ecological
rarity,
making
it
hard
to
tell
which
factor
menacing
survival.
By
applying
an
extension
ENphylo
distribution
model
algorithm
work
with
extremely
rare
species,
we
find
that
chameleons
will
face
intense
loss
north-western
sector
island.
Land
conversion
humans
drive
loss,
intersect
a
complex,
nonlinear
manner
We
some
30%
may
lose
nearly
all
habitats,
critically
jeopardizing
chance
for
Avian Biology Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 28, 2025
Species
Distribution
Models
are
widely
used
to
predict
single
and
multiple
species
distribution
based
on
different
environmental
parameters
concerned.
Such
a
framework
often
ignores
overlapping
of
associated
the
same
taxon
or
genus
which
may
lead
high-cost
conservation
for
concerned
authority.
Cost
effective
management
can
be
practiced
by
prioritizing
areas
high
suitability,
shared
one
more
related
species.
Here,
we
proposed
concept
probable
area
at
least
two
i.e.
Synergistic
potential
in
Assam.
Analysis
synergistic
map
showed
that
average
combined
all
is
3140
km
2
,
accounts
1367.63
(
Falco
severus
+
Gyps
tenuirostris
=
1446.19
Haliaeetus
leucoryphys
1404.75
leucoryphus
1251.95
).
We
found
highly
suitable
raptors
Assam
were
mostly
concentrated
Manas
Tiger
Reserve
landscape,
Kaziranga-Karbi
Anglong
landscape
Upper
Brahmaputra
valley.
This
would
definitely
help
identify
prioritize
cost
efforts.
Insects,
Journal Year:
2025,
Volume and Issue:
16(3), P. 279 - 279
Published: March 6, 2025
The
bush
cricket
Saga
pedo,
listed
as
Vulnerable
globally
by
the
IUCN
and
included
in
Annex
IV
of
EU
Habitats
Directive,
is
a
parthenogenetic
species
highly
sensitive
to
environmental
changes,
facing
threats
from
forest
expansion
agricultural
intensification.
S.
pedo
prefers
dry,
open
habitats
with
sparse
vegetation,
its
pronounced
thermo-heliophily
makes
it
an
indicator
xerothermic
habitats.
In
many
areas
Italy,
including
Northern
Apennines
(Piedmont),
semi-natural
grasslands
are
fragmented.
Open
have
been
reduced
small,
isolated
patches
surrounded
forests
due
abandonment
agropastoral
activities.
Consequently,
occurrence
habitat
related
quality
availability
suitable
ecological
connectivity.
We
developed
spatial
Bayesian
framework
identify
for
pedo.
Using
inverse
probability
occurrence,
we
derived
corridors
among
patches.
Our
findings
indicate
that
connectivity
intensive
cultivation
but
favored
10-50%
woody
tree
cover,
suggesting
sustainable
land
management
crucial
supporting
species.
Given
extinction
risk
faces,
urge
local
administrations
maintain
improve
guarantee
network
identified.
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
81, P. 102643 - 102643
Published: May 17, 2024
Human-wildlife
conflict
has
become
a
major
challenge
to
conservation
efforts
around
the
world.
Brown
bears
(Ursus
arctos),
which
globally
suffer
from
reduced
habitat
suitability
and
quality,
frequently
with
humans.
These
animals
need
large
home
ranges
fulfil
their
requirements.
When
space
food
are
restricted,
brown
shift
towards
human-dominated
landscapes
that
offer
reliable
sources.
Türkiye,
country
predominantly
landscapes,
experiences
frequent
human-brown
bear
conflicts
(HBCs).
However,
there
been
no
formal
analysis
of
nature
scope
these
at
level.
Using
HBC
data
2017
2022,
we
analyzed
spatial
temporal
dynamics
events
in
Turkey,
constructing
risk
map
based
on
anthropogenic
variables
geographic
profiling
identify
driving
forces.
did
not
show
any
annual
or
seasonal
trends
but
displayed
considerable
variation
across
biogeographic
regions,
highest
incidence
concentrated
along
Black
Sea
coast
Eastern
Anatolia.
Sixty
percent
all
were
due
foraging
behavior
near
human
settlements
while
12
%
result
activity
forests,
57%
resulting
direct
injury
either
humans
bears.
Our
analyses
showed
proximity
villages,
protected
areas,
farmland,
footprint
be
pivotal
factors
influencing
risk.
Approximately
21%
country's
territory
is
susceptible
human-bear
conflicts,
substantial
portion
(43%)
risks
manifesting
within
10-km
radius
areas.
In
conclusion,
our
findings
suggest
high
occurrence
HBCs
Türkiye
primarily
stems
limited
availability
natural
habitats
resources
for
bears,
compounded
by
increased
encroachment
core
habitats.
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(4)
Published: April 1, 2025
ABSTRACT
Climate
and
land‐use
changes
are
key
factors
in
the
habitat
loss
population
declines
of
climate
change‐sensitive
endangered
species.
We
assessed
change
effects
on
distribution
Parnassius
bremeri
,
a
critically
wildlife
species
Republic
Korea,
association
with
food
availability
(
Sedum
kamtschaticum
aizoon
),
change,
dispersal
limitation.
first
predicted
current
future
distributions
P.
S.
using
presence/absence
data
(2000)
(2050,
2100)
BioMod2,
an
ensemble
platform
for
model
projections.
Then,
capacity
P
.
were
coupled
SDMs
MigClim.
used
according
to
SSP
scenarios
(SSP1‐2.6,
SSP2‐4.5,
SSP3‐7.0)
estimated
from
previous
studies.
The
distributional
areas
be
about
10,956
km
2
without
land‐cover
coupling
8.861
coupling,
showing
decreased
by
19%
suitable
habitat.
predictions
under
only
showed
reduced
56%
50%
2050
2100
SSP1‐2.6,
respectively,
55%
48%
44%
14%
SSP3‐7.0.
Applying
further
but
trivially
(about
0.42%
average).
strict
conservation
policies
measures
's
habitats
explain
trivial
additional
decrease,
delaying
its
loss.
However,
our
results
suggest
that
such
efforts
cannot
halt
change‐driven
trend
Strong
mitigation
promoting
species'
adaptive
ways
reverse
tragic
decline
climate‐sensitive