Marine Macro-Plastics Litter Features and Their Relation to the Geographical Settings of the Selected Adriatic Islands, Croatia (2018–2023)
Natalija Špeh,
No information about this author
Robert Lončarić
No information about this author
Coasts,
Journal Year:
2025,
Volume and Issue:
5(2), P. 13 - 13
Published: April 10, 2025
Marine
litter
(ML),
encompassing
human-made
objects
in
marine
ecosystems,
poses
significant
threats
to
the
coasts
of
some
Adriatic
islands,
despite
their
remoteness
and
sparse
populations.
These
reliant
on
tourism,
are
particularly
vulnerable
ML
pollution.
This
study
hypothesized
that
natural
features
islands
influence
distribution.
It
employes
an
integrated
geographic
approach
combining
results
field
survey
(via
sea
kayaking)
with
various
indicators
which
include:
(1)
coastal
orientation
number
density
bays,
(2)
vegetation
exposure
biomass
share,
(3)
island
area
(4)
bay
openness
quantity,
(5)
plastic
prevalence
ML.
Focusing
Lošinj,
Pašman,
Vis,
Kornati
Elaphiti
archipelago,
analyzed
data
collected
over
six
years
(2018–2023).
Results
highlighted
NW-SE
W-E
orientations
susceptible
accumulation,
especially
southern
Adriatic.
Linear
Fitting
Regression
analyses
revealed
a
stronger
correlation
between
polluted
bays
surface
smaller
(<10
km2)
compared
larger
(>10
km2).
The
following
findings
underscore
need
for
international
collaboration
stringent
policies
mitigate
pollution,
ensuring
protection
ecosystems
sustainability
local
communities.
Language: Английский
Marine macrolitter and cigarette butts hazard multiple-use marine protected area and fishing community at Brazil
Marine Pollution Bulletin,
Journal Year:
2024,
Volume and Issue:
208, P. 117031 - 117031
Published: Sept. 25, 2024
Language: Английский
Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff
Communications Earth & Environment,
Journal Year:
2024,
Volume and Issue:
5(1)
Published: Nov. 30, 2024
Abstract
Macroplastic
pollution
is
a
pervasive
global
environmental
challenge,
adversely
affecting
marine
ecosystems,
wildlife
and
human
health.
Understanding
temporal
variations
crucial
for
identifying
sources
developing
effective
mitigation
policies.
However,
in-situ
data
from
beach
surveys
are
often
irregular,
both
spatially
temporally,
highly
variable,
complicating
robust
statistical
conclusions.
Here
we
employ
Bayesian
machine
learning
framework
to
investigate
seasonal
variations,
identify
regional
hotspots
elucidate
their
anthropogenic
drivers.
Using
3866
across
168
western
European
beaches,
leverage
spatial
log-Gaussian
Cox
Process
enhance
inference
by
integrating
information
nearby
beaches.
Distinct
patterns
emerge,
with
winter
spring
exhibiting
the
highest
levels,
while
pronounced
differences
highlight
in
Iberian
Peninsula,
French
coastline,
Irish
Sea
Skagerrak
region.
These
peaks
attributed
riverine
emissions
aquaculture
activities,
highlighting
potential
impact
of
these
on
pollution.
Our
findings
advocate
enhanced,
time-specific
monitoring
effectively
manage
litter
hotspots,
emphasizing
importance
aquaculture-related
plastic
emissions.
Language: Английский
How natural disasters affect the distribution of marine litter in protected island ecosystems (Seaflower Biosphere Reserve — Colombia)
Marine Pollution Bulletin,
Journal Year:
2024,
Volume and Issue:
211, P. 117458 - 117458
Published: Dec. 18, 2024
Language: Английский
Seasonal Hotspots of Beach Litter in the North-East Atlantic Linked to Aquaculture and River Runoff
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 30, 2024
Abstract
Anthropogenic
beach
litter
presents
a
significant
environmental
challenge,
particularly
in
the
north-east
Atlantic.
Understanding
temporal
variations
is
crucial
for
identifying
pollution
sources
and
developing
effective
policies.
However,
in-situ
data
from
surveys
are
irregular,
both
spatially
temporally,
subject
to
high
variability,
complicating
robust
statistical
conclusions.
This
study
employs
Bayesian
machine
learning
framework
investigate
seasonal
variations,
identify
regional
hotspots
elucidate
their
anthropogenic
drivers.
Using
3,866
across
168
beaches,
we
leverage
spatial
log-Gaussian
Cox
Process
enhance
inference
by
incorporating
information
nearby
beaches.
Our
analysis
reveals
distinct
patterns,
with
winter
spring
exhibiting
highest
levels.
Significant
variances
observed,
pronounced
along
western
Iberian
Peninsula,
French
coastline,
Irish
Sea,
Skagerrak
region.
Further
investigation
into
of
this
links
riverine
emissions
aquaculture
activities
observed
peaks,
highlighting
notable
impact
on
pollution.
underscores
need
enhanced
monitoring
targeted
management
strategies
mitigate
macroplastic
findings
advocate
pinpoint
effectively
manage
hotspots,
emphasizing
importance
addressing
aquaculture-related
plastic
emissions.
Language: Английский
Characterizing plastic pollution on beaches of Cozumel Island, Mexico: abundance, distribution, and influencing factors
Revista Ciencias Marinas y Costeras,
Journal Year:
2024,
Volume and Issue:
unknown, P. 51 - 69
Published: Dec. 2, 2024
Plastic
pollution
in
marine
environments
represents
a
significant
threat
to
ecosystems
worldwide.
This
study
focuses
on
Cozumel
Island,
located
the
Caribbean
Sea,
where
plastic
debris,
primarily
from
inadequate
management,
adversely
affects
its
beaches.
Nine
beaches
were
selected
conduct
debris
sampling
and
determine
abundance,
density,
type
of
objects
found
at
sites.
Three
repetitions
conducted
surface
each
beach,
while
three
samplings
eight
analyze
buried
debris.
One
was
discarded
for
because
rocky
composition.
Data
collected
between
March
22
June
15,
2019.
A
total
25,102
items
found,
94%
which
plastic.
Similarly,
4,365
recorded,
with
vast
majority
(97.8%)
being
Surface
densities
vary,
influenced
by
factors
such
as
beach
location,
substrate
composition,
human
visitation.
Beaches
lower
presence
exhibit
highest
densities,
particularly
windward
areas.
Statistical
models
indicate
that
low-to-medium
visitor
influx
location
significantly
impact
characteristics.
Insights
this
research
contribute
understanding
dynamics
beaches,
plays
crucial
role
informed
policymaking
conservation
efforts.
Language: Английский