Online Crowdsourced Data from iNaturalist Can Assist Monitoring of Invasive Mosquitoes
Insects,
Год журнала:
2025,
Номер
16(2), С. 128 - 128
Опубликована: Янв. 28, 2025
Invasive
mosquitoes
continue
to
spread,
increasing
the
threat
of
mosquito-borne
disease.
Ongoing
mosquito
surveillance
is
necessary
track
introduction
and
establishment
these
species
in
new
areas
implement
appropriate
public
health
vector
control
measures.
Contributions
from
citizen
science
initiatives
have
been
an
important
component
detecting,
controlling,
raising
awareness
invasive
mosquitoes.
The
open-access
biodiversity
platform
iNaturalist
extensive
source
human
observations
wildlife,
including
arthropod
vectors,
can
be
a
useful
supplementary
tool
for
passive
surveillance.
In
this
study,
utility
data
support
was
assessed
by
examining
distribution
seasonal
on
four
Aedes
(IAS)
Europe
neighbouring
countries.
Almost
16,000
were
examined
across
62
countries;
13%
identified
as
IAS,
with
further
2%
considered
probable
IAS.
These
included
16
aegypti,
1582
albopictus,
373
japonicus,
58
koreicus.
IAS
present
most
known
establishment,
but
potential
regions
spread
also
identified.
results
use
low-cost
assist
existing
Язык: Английский
Automated near real-time monitoring in ecology: Status quo and ways forward
Ecological Informatics,
Год журнала:
2025,
Номер
89, С. 103157 - 103157
Опубликована: Апрель 18, 2025
Язык: Английский
Ligustrum L. (Oleaceae) in South Africa: Introduction history and invasion ecology
South African Journal of Botany,
Год журнала:
2025,
Номер
182, С. 185 - 200
Опубликована: Май 13, 2025
Язык: Английский
Addressing Biological Invasions in Agriculture with Big Data in an Informatics Age
Agriculture,
Год журнала:
2025,
Номер
15(11), С. 1157 - 1157
Опубликована: Май 28, 2025
Big
data
approaches
are
rapidly
expanding
across
many
fields
of
science
and
seeing
increasing
application,
yet
the
use
big
in
research
related
to
invasive
species
lags.
can
play
a
key
role
predicting,
detecting,
preventing,
controlling,
eradicating
biological
invasions.
Here,
we
assess
terms
literature
data,
invasions,
agriculture
review
sources
including
museum
records,
crowdsourcing
observations,
natural
history
collections,
DNA-based
information.
These
be
combined
with
environmental
build
models,
predict
origins
species,
develop
control
methods.
To
harness
power
for
agricultural
several
action
areas
recommended
streamline
processes
improve
sources.
Язык: Английский