Frontiers in Human Dynamics,
Journal Year:
2024,
Volume and Issue:
6
Published: Dec. 11, 2024
This
study
examines
how
population
change
is
associated
with
changes
in
sociodemographics
and
economic
outcomes
across
diverse
geographic
contexts
the
United
States
from
2000
to
2020.
Using
Census
Tract-level
data
generalized
additive
models
(GAMs),
we
found
that
communities
experiencing
growth
showed
significant
improvements
socioeconomic
indicators:
for
example,
a
50%
increase
Northeast
metropolitan
non-coastal
areas
was
$10,062
rise
[95%
confidence
interval
(CI)
=
$9,181,
$10,944]
median
household
income.
Conversely,
decline
faced
increasing
challenges
community
composition:
West
coastal
saw
their
age
by
2.556
years
(95%
CI
2.23,
2.89
years),
indicating
an
accelerated
aging
population.
We
observed
positive
relationship
between
local
growth,
or
slow
showing
below-average
growth.
While
alone
explained
10.1%
of
variance
county-level
GDP
incorporating
sociodemographic
shifts
alongside
using
partial
least
squares
regression
(PLSR)
more
than
doubled
explanatory
power
21.4%.
Overall,
often
strength
relationships
sometimes
direction
varied
context:
distinct
patterns
inland
regions,
responded
differently
rural
ones.
For
instance,
percentage
owner-occupied
housing
negatively
areas,
but
positively
non-metropolitan
areas.
Our
research
provides
valuable
insights
policymakers
planners
working
address
changes,
particularly
context
anticipated
climate-induced
migration.
The
results
suggest
strategies
maintaining
vitality
need
consider
not
just
retention,
also
demographic
profiles
opportunities
different
contexts.
European Financial Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 21, 2025
ABSTRACT
We
measure
sea‐level
rise
(SLR)
risk
using
two
indicators:
SLR
Impact
(whether
a
census
tract
would
be
inundated
under
1‐ft
SLR)
and
Exposure
(percentage
of
land
SLR).
SLR‐impacted
areas
see
0.36%–1%
lower
mortgage
approval
rates,
with
10%
increase
in
reducing
approvals
by
14
basis
points.
These
patterns
reflect
future
expectations
rather
than
past
flood
or
hurricane
events.
also
find
higher
denial
rates
regions
stronger
climate
beliefs
greater
risk.
Additionally,
SLR‐related
denials
disproportionately
affect
minority
groups.
Climate Risk Management,
Journal Year:
2024,
Volume and Issue:
44, P. 100613 - 100613
Published: Jan. 1, 2024
Climate
change
and
natural
hazards
present
a
major
risk
to
individuals
communities;
however,
the
current
quantitative
assessment
methodologies
struggle
capture
wider
consequences
that
arise
from
society's
complex
interconnections.
These
interconnections
exist
due
number
of
mutually
dependent
systems
mean
impacts
on
one
system
can
be
felt
in
another.
cascading
challenge
climate
assessments.
assessments
often
consider
range
"wellbeing"
or
"value"
domains;
for
example,
New
Zealand
five
wellbeing
domains
are
Natural
Environment,
Human,
Economic,
Built
Governance.
Existing
have
sought
characterize
each
domain,
but
do
not
quantitatively
rigorously
interplay
between
domains.
For
how
does
human
domain
as
result
built
environment?
This
ensuing
could
substantially
modify
assessed
risk.
The
potentially
alter
prioritization
subsequent
adaptation
plans.
In
this
paper,
we
show
considering
only
increases
magnitude
shift
prioritization.
highlights
importance
capturing
effective
change.
Risk Analysis,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 21, 2024
Abstract
Climate
change
and
natural
hazard
risk
assessments
often
overlook
indirect
impacts,
leading
to
a
limited
understanding
of
the
full
extent
disparities
in
its
distribution
across
populations.
This
study
investigates
distributional
justice
exploring
critical
implications
for
environmental
justice,
equity,
resilience
adaptation
planning.
We
employ
high‐resolution
spatial
assessment
origin–destination
routing
analyze
coastal
flooding
sea‐level
rise
scenarios
Aotearoa
New
Zealand.
approach
allows
both
direct
impacts
(property
exposure)
(physical
isolation
from
key
amenities)
on
residents.
Indirect
such
as
reduced
access
resources,
have
significant
adverse
effects
well‐being,
social
cohesion,
community
resilience.
Including
dramatically
increases
overall
population
burden,
while
revealing
complex
existing
inequalities.
Our
analysis
reveals
that
including
but
effect
inequalities
varies.
These
can
be
exacerbated
or
attenuated
depending
scale
location,
underscoring
need
decision‐makers
identify
these
nuanced
distributions
apply
context‐specific
frameworks
when
determining
equitable
outcomes.
findings
uncover
substantial
number
previously
invisible
at‐risk
residents—from
61,000
217,000
nationally
present‐day
event—and
expose
shift
impact
toward
underserved
communities.
As
risks
exacerbate
impede
climate
efforts,
adopting
an
inclusive
accounts
their
[un]equal
is
imperative
effective
decision‐making.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(22), P. 9965 - 9965
Published: Nov. 15, 2024
Through
the
years,
research
has
described
importance
of
community-based
approaches
in
management
coastal
and
marine
ecosystems.
Coastal
issues
are
multifaceted
require
place-specific
developed
partnership
with
vulnerable
communities
who
impacted
by
environmental
stressors.
Place-based
conservation,
a
approach
that
focuses
on
unique,
characteristics,
other
similar
methods.
It
considers
need
to
integrate
human
dimensions
location-centered
approaches,
which
often
lacking
typical
natural
resource
management.
Meaningful
engagement
underrepresented
can
holistically
account
for
socioeconomic
factors
cultural
knowledge
inform
best
practices.
As
health
ecosystems
is
linked
quality
local
livelihoods,
engaging
practitioners
these
systems
support
science
trust
This
article
discusses
research,
insight,
various
examples
successful
management,
culturally
relevant
advance
sustainable
place-based
conservation.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 25, 2024
Abstract
Understanding
extreme
storm
surge
events
that
threaten
low-lying
coastal
communities
is
key
to
effective
flood
mitigation
and
adaptation
measures.
However,
estimates
of
extremes
from
observations
are
sparse
highly
uncertain
along
most
regions
owing
data
limitations.
There
also
lack
observational
evidence
about
their
long-term
(underlying)
trends
how
such
contribute
overall
sea-level
changes.
Here,
we
analyze
the
U.S.
tide-gauge
network
using
a
spatio-temporal
Bayesian
hierarchical
framework,
which
provides
robust
empirical
spatially-continuous
likelihoods
underlying
trend
since
1950
coastlines.
We
find
have
underestimated
across
over
80%
tide
gauge
locations
nationwide.
Additionally,
contrary
prevailing
beliefs,
show
significant
within
widespread
coastlines,
providing
new
changing
intensity
during
historical
monitoring
period.
Regional
hotspots
exist
where
comparable
to,
or
even
exceed,
in
mean
rise
its
major
individual
components.
These
findings
advance
traditional
design/planning
practices
rely
on
obtained
discrete
assume
stationarity
extremes.