A century of wild bee sampling: historical data and neural network analysis reveal ecological traits associated with species loss
Kelsey K. Graham,
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Paul Glaum,
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Joseph Hartert
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et al.
Proceedings of the Royal Society B Biological Sciences,
Journal Year:
2024,
Volume and Issue:
291(2028)
Published: Aug. 1, 2024
We
analysed
the
wild
bee
community
sampled
from
1921
to
2018
at
a
nature
preserve
in
southern
Michigan,
USA,
study
long-term
shifts
protected
area.
During
an
intensive
survey
1972
and
1973,
Francis
C.
Evans
detected
135
species.
In
most
recent
surveys
conducted
2017
2018,
we
recorded
90
Only
58
species
were
both
sampling
periods,
indicating
significant
shift
community.
found
that
diversity,
richness
evenness
all
lower
samples.
Additionally,
64%
of
more
common
exhibited
than
30%
decline
relative
abundance.
Neural
network
analysis
traits
revealed
extirpation
reserve
was
likely
for
oligolectic
ground-nesting
bees
kleptoparasitic
bees,
whereas
polylectic
cavity-nesting
persist.
Having
longer
phenological
ranges
also
increased
chance
persistence
Further
suggests
climate
response
as
contemporary
period
had
southerly
overall
distribution
compared
historic
Results
exhibit
utility
data
machine
learning
disentangling
complex
indicators
population
trajectories.
Language: Английский
Unveiling the effects of land use and intra-seasonal variation on bee and plant diversity and their ecological interactions in vegetation surrounding coffee plantations
Frontiers in Bee Science,
Journal Year:
2024,
Volume and Issue:
2
Published: Dec. 17, 2024
Land
use,
local
management,
and
seasonal
variation
significantly
impact
the
ecological
dynamics
of
bee–plant
communities
their
interactions.
These
variables
negatively
affect
diversity
interaction
networks
within
human-dominated
landscapes.
Additionally,
such
as
temperature,
rainfall,
resource
availability
across
different
seasons
play
essential
roles
in
shaping
bee
interactions
with
flowering
plants.
However,
little
is
known
about
how
non-crop
plants
agricultural
landscapes
respond
to
intra-seasonal
variations,
specifically
rainy
season.
In
this
study,
we
assessed
land
use
types,
coffee
crop
season
influenced
composition
plant
communities,
semi-natural
habitats
surrounding
plantations.
We
recorded
bees
analysed
metrics,
specialisation,
nestedness,
modularity,
connectance
bee/plant
generality,
8
pairs
sites.
Our
findings
indicate
that
human
settlements
influence
suggesting
introduction
exotic
reduce
floral
resources
for
bees,
which
may
decrease
visitation.
contrast,
extensive
forested
areas
seemed
support
generality.
observed
higher
visit
frequency
richness
generality
during
second
period
(July
October),
leading
more
robust
same
period.
This
study
enhances
our
understanding
land-use
types
climatic
shape
structure
visitor
Furthermore,
underline
negative
on
visited
by
networks.
Language: Английский