Biosystems Diversity,
Journal Year:
2024,
Volume and Issue:
32(4)
Published: Nov. 5, 2024
The
article
proposes
a
methodology
for
identifying
the
hemeroby
of
avifauna
inhabiting
contemporary
industrial
metropolis.
Landsat
8-9
OLI/TIRS
satellite
image
city
Dnipro
(Ukraine)
dated
14
July
2024
was
employed
further
analysis.
classification
land
cover
types
performed
in
SAGA-9
without
training
using
k-means
procedure.
on
basis
geospatial
layers
represented
by
spectral
indices
and
road
network
density.
For
each
cluster,
average
value
level
calculated,
which
rounded
to
whole
used
as
an
indicator
that
is
typical
respective
type.
values
were
extracted
from
data
layer
obtained
landscape
metrics
at
points
bird
species
encounters.
mean
standard
deviation
during
encounters
calculated
based
obtained.
These
considered
indicators
their
tolerance
hemeroby.
surface
temperature
within
exhibited
range
29.4
33.6
°C.
highest
temperatures
recorded
centre
eastern
northern
districts,
with
lowest
observed
region.
principal
component
analysis
enabled
extraction
three
components
eigenvalues
exceeding
one.
Principal
1
positive
correlation
indicate
anthropogenic
surfaces
negative
are
sensitive
vegetation
density,
moisture
rock
or
soil
composition.
Therefore,
c
omponent
can
be
interpreted
meaningful
manner
aspect
induced
decrease
due
increase
presence
objects.
2
found
positively
correlated
surfaces,
well
This
related
thermal
pollution.
most
significant
3
all
primary
associated
hemeroby,
integrated
calculated.
procedure,
yielded
20
one
additional
category
representing
water
bodies.
birds
considerable
variation,
ranging
15
89.
classified
into
following
categories
extent
ahemerobic
group
comprised
species,
oligohemerobic
11,
mesohemerobic
8,
beta-euhemerobic
alpha-euhemerobic
10,
polyhemerobic
9
metahemerobic
5.
stenotopic
comprises
30
mesotopic
17
eurytopic
19
birds.
In
case
34
fauna
Dnipro,
estimates
have
been
European
score,
Eur
o
pean
avifauna.
A
statistically
between
scores
score.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 9, 2024
Abstract
In
recent
years,
we
have
witnessed
worldwide,
an
increase
in
natural
forest
disturbances,
particularly
windstorms,
which
caused
significant
direct
and
indirect
damages,
often
triggering
largescale
bark
beetle
outbreaks.
this
study,
investigated
the
interaction
between
windstorm-induced
tree
damage
subsequent
outbreaks
northeastern
Italian
Alps
(Province
of
Belluno
Bolzano),
focusing
on
2018
Vaia
windstorm
successive
infestation
started
2021.
Additionally,
aimed
to
determine
whether
potential
correlation
is
influenced
by
structural
characteristics
such
as
height
heterogeneity
(HH),
density,
mean
using
LiDAR
data,
or
meteorological
factors
(mean
temperature
cumulative
precipitation)
through
in-situ
spatialized
information.
Our
research
findings,
based
a
methodology
centered
spatial
interactions,
indicate
link
event
occurred
three
years
before.
results
suggest
that
variables
are,
most
cases,
significantly
similar
across
all
areas
affected
beetle.
This
similarity
observed
both
forests
impacted
other
Picea
abies
not
windstorm,
indicating
these
may
be
trigger
for
outbreak.
findings
do
show
clear
consistently
difference
conditions.
variability
can
attributed
specific
are
predominantly
mountainous
regions
characterized
distinct
temperatures
precipitation
compared
rest
provinces.
When
analyzing
combined
influence
study
areas,
our
none
were
ultimately
predictors
infestations
windstorm.
suggests
that,
climate
change
increases
frequency
severity
adaptable
management
framework
enhance
resilience
sustainability
needed,
helping
better
withstand
recover
from
future
disturbances.
Jurnal Penelitian Pendidikan IPA,
Journal Year:
2024,
Volume and Issue:
10(12), P. 10699 - 10719
Published: Dec. 28, 2024
Imbowiari
Forest
in
Barawai
Village,
Yapen,
Papua,
has
complex
flora
and
fauna
biodiversity,
including
as
a
habitat
for
Paradisaea
minor
jobiensis.
In
especially
the
Yapen
Islands
Regency,
endemic
species
such
jobiensis
are
main
attraction
tourists.
Managed
by
community
through
local
wisdom
Dorey
Jaya
group,
this
area
potential
to
be
developed
birdwatching
ecotourism.
However,
it
not
been
widely
popular
with
This
study
aims
analyze
changes
vegetation
of
bird's
three
periods
(2014,
2018,
2024)
provide
recommendations
ecotourism
management
Barawai.
Vegetation
structure
composition
data
were
collected
using
grid
line
method
analyzed
PAST
software.
The
results
showed
an
increase
number
at
all
levels,
seedlings
(21
2014
72
2024),
saplings
(27
64),
poles
(26
76),
trees
(41
96).
individuals
also
increased
significantly,
on
poles.
diversity
index
increased,
tree
level
(2.78
4.07).
indicates
overall
vegetation,
optimizing
based
biodiversity
wisdom.
Biosystems Diversity,
Journal Year:
2024,
Volume and Issue:
32(4)
Published: Nov. 5, 2024
The
article
proposes
a
methodology
for
identifying
the
hemeroby
of
avifauna
inhabiting
contemporary
industrial
metropolis.
Landsat
8-9
OLI/TIRS
satellite
image
city
Dnipro
(Ukraine)
dated
14
July
2024
was
employed
further
analysis.
classification
land
cover
types
performed
in
SAGA-9
without
training
using
k-means
procedure.
on
basis
geospatial
layers
represented
by
spectral
indices
and
road
network
density.
For
each
cluster,
average
value
level
calculated,
which
rounded
to
whole
used
as
an
indicator
that
is
typical
respective
type.
values
were
extracted
from
data
layer
obtained
landscape
metrics
at
points
bird
species
encounters.
mean
standard
deviation
during
encounters
calculated
based
obtained.
These
considered
indicators
their
tolerance
hemeroby.
surface
temperature
within
exhibited
range
29.4
33.6
°C.
highest
temperatures
recorded
centre
eastern
northern
districts,
with
lowest
observed
region.
principal
component
analysis
enabled
extraction
three
components
eigenvalues
exceeding
one.
Principal
1
positive
correlation
indicate
anthropogenic
surfaces
negative
are
sensitive
vegetation
density,
moisture
rock
or
soil
composition.
Therefore,
c
omponent
can
be
interpreted
meaningful
manner
aspect
induced
decrease
due
increase
presence
objects.
2
found
positively
correlated
surfaces,
well
This
related
thermal
pollution.
most
significant
3
all
primary
associated
hemeroby,
integrated
calculated.
procedure,
yielded
20
one
additional
category
representing
water
bodies.
birds
considerable
variation,
ranging
15
89.
classified
into
following
categories
extent
ahemerobic
group
comprised
species,
oligohemerobic
11,
mesohemerobic
8,
beta-euhemerobic
alpha-euhemerobic
10,
polyhemerobic
9
metahemerobic
5.
stenotopic
comprises
30
mesotopic
17
eurytopic
19
birds.
In
case
34
fauna
Dnipro,
estimates
have
been
European
score,
Eur
o
pean
avifauna.
A
statistically
between
scores
score.