Broad-scale impacts of coastal mega-infrastructure project on obligatory inshore delphinids: A cautionary tale from Hong Kong
The Science of The Total Environment,
Год журнала:
2024,
Номер
920, С. 169753 - 169753
Опубликована: Янв. 3, 2024
Язык: Английский
Population parameters and heterogeneity in survival rates of Indo-Pacific humpback dolphins in a heavily urbanized coastal region of southeast China: implications for conservation
Frontiers in Marine Science,
Год журнала:
2024,
Номер
11
Опубликована: Март 20, 2024
The
Pearl
River
Delta
(PRD)
region
on
the
southeast
coast
of
China
is
among
largest
and
most
populated
metropolitan
regions
world,
subjecting
Indo-Pacific
humpback
dolphins
(
Sousa
chinensis
)
inhabiting
coastal
waters
this
–
apparently
population
species
to
intense
anthropogenic
pressure.
In
5-year
study
(2011-2015),
we
applied
mark-recapture
techniques
quantify
parameters
in
main
body
extensive
estuarine
system
River,
Lingding
Bay
(LB),
urbanized
industrialized
part
PRD.
super-population
size
was
estimated
at
928
individuals
(95%
CI=823-1046),
which
however
over-represents
latest
number
extant
animals.
Annual
estimates
fluctuated
between
708
750
dolphins,
likely
reflect
accurately
latest/current
LB.
Both
overall
annual
generated
by
our
are
considerably
lower
than
previously
published
abundance
estimates.
Apparent
survival
rates
were
generally
low,
0.943
(SE
=
0.008,
95%
CI
0.929-0.958)
0.815
0.025,
0.766-0.866)
for
adults
juveniles,
respectively.
conjunction
with
limited
recruitment,
they
may
have
led
a
substantial
decline
numbers
over
past
two
decades.
Notably,
exhibited
heterogeneous
apparent
across
complex
seascape
Adult
that
use
Hong
Kong
as
their
primary
habitat
6.2%
higher
those
other
parts
This
difference
tripled
(19.2%)
expression
susceptibility
environmental
and/or
stresses.
We
suggest
largely
due
stressors
vary
spatially
estuary,
loss,
pollution,
declining
prey
resources
appear
be
threats.
Based
findings,
call
strategic
conservation
planning
highest
priority
given
preserve
remaining
key
dolphin
habitats
waters,
mitigate
impacts
major
stressor(s)
Guangdong
(mainland
China)
waters.
Given
encroachment
ever-more-intense
human
activities
understanding
demographic
response
underlying
mechanisms
processes
prove
instrumental
formulation
management
strategy
can
secure
continuous
survival.
Язык: Английский
Individual identification and photographic techniques in mammalian ecological and behavioural research—Part 2: Field studies and applications
Mammalian Biology,
Год журнала:
2022,
Номер
102(4), С. 1047 - 1054
Опубликована: Авг. 1, 2022
Язык: Английский
An unknown component of a well-known population: socio-demographic parameters of Indo-Pacific humpback dolphins (Sousa chinensis) at the western reaches of the Pearl River Delta region
Mammalian Biology,
Год журнала:
2022,
Номер
102(4), С. 1149 - 1171
Опубликована: Авг. 1, 2022
Язык: Английский
Reproductive dynamics of an inshore delphinid reflect demographic consequences of large-scale coastal constructions
Biological Conservation,
Год журнала:
2024,
Номер
297, С. 110690 - 110690
Опубликована: Авг. 6, 2024
Язык: Английский
Estimating population parameters of African elephants: a photographic mark-recapture application in a South African protected area
Mammalian Biology,
Год журнала:
2022,
Номер
102(4), С. 1231 - 1247
Опубликована: Авг. 1, 2022
Язык: Английский
Long-lasting social bonds of a habitat-structured delphinid social system
Animal Behaviour,
Год журнала:
2024,
Номер
219, С. 123025 - 123025
Опубликована: Дек. 16, 2024
Язык: Английский
Identification and Detection of Marine Mammal Dorsal Fin Based on Deformable-DETR
Опубликована: Дек. 8, 2023
The
development
of
human
society
has
significantly
impacted
the
natural
habitats
certain
marine
animals,
pushing
many
mammals
to
brink
extinction.
To
protect
and
observe
endangered
animal
populations,
this
article
proposes
a
method
for
identifying
mammal
dorsal
fins.
utilizes
variable
convolutional
neural
network
recognize
fins,
enabling
identification
detection
exposed
fin
mammals,
practicality
been
validated
in
article.The
proposed
employs
attention
mechanisms
feature
fusion
learn
distinctive
features
different
regions.
Additionally,
modifications
are
made
loss
function
extraction
methods.
These
adjustments
facilitate
better
learning
characteristics,
ultimately
achieving
recognition
white
dolphins.By
leveraging
advanced
technology,
we
hope
enhance
conservation
species,
creating
conditions
their
survival
reproduction.
Язык: Английский