Arthropod traits as proxies for abundance trends in the Azorean Islands
Authorea (Authorea),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 31, 2024
Human
activities
drive
ecological
transformation,
impacting
island
ecosystems
from
species
diversity
to
traits,
mainly
through
habitat
degradation
and
invasive
species.
Using
two
unique
long-term
datasets
we
aim
evaluate
whether
traits
(body
size,
trophic
level,
dispersal
capacity
occupancy)
can
predict
temporal
variations
in
the
abundance
of
endemic,
native
non-endemic
exotic
arthropods
Azores
Islands.
We
found
that
body
size
is
crucial
trends.
Small-bodied
herbivorous
showed
a
decrease
abundance,
while
large-bodied
indigenous
increased
well-preserved
areas.
Also,
across
entire
archipelago.
Moreover,
endemic
canopy
dwellers
ground-dwellers
decreased
abundance.
Simultaneously,
opposite
result,
increasing
ground
decreasing
canopy.
Finally,
influenced
both
spider
Endemic
spiders
occupy
solely
natural
habitats
experienced
decline
same
Our
study
underscores
significance
arthropod
predicting
changes
over
time,
as
well
importance
monitoring
communities.
Conservation
efforts
must
extend
beyond
endangered
protect
non-threatened
ones,
given
extinction
risk
faced
by
even
common
on
islands.
Monitoring
restoration
programs
are
essential
for
preserving
safeguarding
populations.
Language: Английский
Arthropod traits as proxies for abundance trends in the Azorean Islands
Ecography,
Journal Year:
2024,
Volume and Issue:
2024(12)
Published: Aug. 27, 2024
Human
activities
drive
ecological
transformation,
impacting
island
ecosystems
from
species
diversity
to
traits,
mainly
through
habitat
degradation
and
invasive
species.
Using
two
unique
long‐term
datasets
we
aim
evaluate
whether
traits
(body
size,
trophic
level,
dispersal
capacity
occupancy)
can
predict
temporal
variations
in
the
abundance
of
endemic,
indigenous
(endemic
native
non‐endemic)
exotic
arthropods
Azores
Islands.
We
found
that
body
size
is
crucial
arthropod
trends.
Small‐bodied
herbivorous
showed
a
decrease
abundance,
while
large‐bodied
increased
well‐preserved
areas.
Also,
across
entire
archipelago.
Moreover,
endemic
canopy
dwellers
ground‐dwellers
decreased
abundance.
Simultaneously,
opposite
result,
increasing
ground
decreasing
canopy.
Finally,
influenced
both
spider
Endemic
spiders
occupy
solely
natural
habitats
experienced
decline
same
Our
study
underscores
significance
predicting
changes
over
time,
as
well
importance
monitoring
communities.
Conservation
efforts
must
extend
beyond
endangered
protect
non‐threatened
ones,
given
extinction
risk
faced
by
even
common
on
islands.
Monitoring
restoration
programs
are
essential
for
preserving
safeguarding
populations.
Language: Английский
Biological Integrity of Azorean Native Forests Is Better Measured in Cold Season
Diversity,
Journal Year:
2023,
Volume and Issue:
15(12), P. 1189 - 1189
Published: Nov. 30, 2023
The
Azorean
archipelago,
recognized
as
one
of
the
world’s
biodiversity
hotspots,
is
home
to
a
diverse
and
unique
community
arthropod
species,
highlighting
notable
degree
endemism.
However,
native
forests
that
support
these
species
are
facing
significant
degradation
due
habitat
loss
fragmentation.
In
this
study,
we
aimed
determine
ideal
season
for
measuring
biological
integrity
forest
sites
using
index
(IBI)
based
on
communities
captured
with
Sea,
Land,
Air
Malaise
(SLAM)
traps.
Drawing
more
than
thirty
years
research
experience
in
forests,
selected
twelve
reference
sites,
six
representing
preserved
disturbed
forest,
compared
how
IBI
values
vary
between
seasons.
exhibited
consistent
variations
seasons
indicating
areas
can
be
conducted
at
any
time
year
without
specific
seasonal
preference.
contrast,
differences
were
observed
pristine
winter
combination
spring
data
(cold
semester)
showing
notably
higher
other
semesters.
This
finding
suggests
best
optimized
cold
seasons,
while
detection
exotic
impact
most
effective
summer
autumn.
Consequently,
if
resources
limited,
monitoring
efforts
should
concentrated
obtain
maximum
minimum
IBI,
respectively.
Additionally,
our
study
optimal
detect
potentially
invasive
species.
Language: Английский