Income
inequality
is
a
prominent
contributor
to
health
disparities
in
the
U.S.
As
leading
capitalist
nation,
registers
highest
healthcare
expenditure
among
developed
countries
yet
grapples
with
widening
income
disparities.
The
chasm
between
rich
and
underprivileged
has
expanded
significantly
recent
decades,
casting
profound
impacts
on
American
society.
This
study
explores
nuances
of
inequality,
its
ramifications,
potential
remedies,
analyzed
through
Gini
Coefficient.
Advanced
forecasting
models
are
employed
anticipate
future
patterns.
research
highlights
value
Healthcare
Analytics
understanding
complexities
inequality.
findings
underscore
pressing
need
for
effective
policies
address
this
mounting
challenge.
Knowledge and Management of Aquatic Ecosystems,
Journal Year:
2023,
Volume and Issue:
424, P. 19 - 19
Published: Jan. 1, 2023
Both
native
and
non-native
taxa
richness
patterns
are
useful
for
evaluating
areas
of
greatest
conservation
concern.
To
determine
those
patterns,
we
analyzed
fish
macroinvertebrate
data
obtained
at
3475
sites
collected
by
the
USEPA's
National
Rivers
Streams
Assessment.
We
also
determined
which
natural
anthropogenic
variables
best
explained
in
regional
richness.
Macroinvertebrate
increased
with
number
sampled
per
region.
Therefore,
residual
from
deviation
observed
predicted
given
Regional
markedly
exceeded
average
site
both
macroinvertebrates
fish.
Predictors
macroinvertebrate-genus
fish-species
residual-regional
differed.
Air
temperature
was
an
important
predictor
cases
but
positive
negative
macroinvertebrates.
land
use
were
significant
predictors
This
study
is
first
to
mean
aquatic
across
conterminous
USA,
key
drivers
Thus,
it
offers
insights
into
USA
biodiversity
hotspots.
Canadian Journal of Fisheries and Aquatic Sciences,
Journal Year:
2023,
Volume and Issue:
80(11), P. 1785 - 1797
Published: Aug. 1, 2023
Declines
in
freshwater
quality
resulting
from
anthropogenic
nutrient
input
remain
a
persistent
issue
worldwide.
Yet,
we
still
have
limited
understanding
of
the
magnitude
and
scale
at
which
most
lakes
been
affected
by
human
activities,
namely
Land
Use/Land
Cover
(LULC)
alterations.
In
response,
NSERC
Canadian
Lake
Pulse
Network
has
compiled
first
nationwide
systematic
database
lake
metrics
surveying
664
across
12
ecozones
over
3
years.
To
assess
influence
catchment
development
on
water
its
spatial
variation,
built
generally
additive
models
multivariate
regressions
to
quantify
association
between
watershed
LULC
temperature,
Secchi
depth,
as
well
chlorophyll-
a,
limiting
nutrient,
ion
concentrations.
We
found
that
agricultural
urban
land
use
explained
greatest
proportion
variation
among
categories
(
R
2
=
0.20–0.29).
Overall,
our
study
highlights
drivers
are
similar
regions;
however,
baseline
conditions
vary,
so
ecosystem
management
strategies
must
consider
their
geographic
context
better
predict
where
thresholds
will
be
surpassed.
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(11), P. e0313271 - e0313271
Published: Nov. 5, 2024
Bay-scale
empirical
evaluations
of
how
bivalve
aquaculture
alters
plankton
composition,
and
subsequently
ecological
functioning
higher
trophic
levels,
are
lacking.
Temporal,
inter-
within-bay
variation
in
hydrodynamic,
environmental,
pressure
complicate
monitoring
design
to
detect
bay-scale
changes
inform
ecosystem
interactions.
Here,
we
used
flow
cytometry
investigate
spatio-temporal
variations
bacteria
phytoplankton
(<
20
μm)
composition
four
embayments.
We
observed
abundances
shallow
embayments
that
experienced
greater
freshwater
nutrient
inputs.
Depleted
conditions
may
have
led
the
dominance
picophytoplankton
cells,
which
showed
strong
as
a
function
riverine
vs
marine
influence
availability.
Although
environmental
forcings
appeared
be
driver
trends,
results
reduce
near-lease
abundance
favor
bacterial
growth.
discuss
confounding
factors
must
accounted
for
when
interpreting
effects
such
grazing,
benthic-pelagic
coupling
processes,
microbial
biogeochemical
cycling.
Conclusions
provide
guidance
on
sampling
considerations
using
sites
based
embayment
geomorphology
hydrodynamics.
ABSTRACT
Environmental
degradation
from
human
pressures
includes
the
conversion
of
native
vegetation
cover
into
pastures
and
cropland,
as
well
riparian
deforestation,
leading
to
river
siltation,
biotic
homogenization,
loss
ecosystem
services.
The
objective
our
study
was
evaluate
water
quality
benthic
macroinvertebrate
assemblage
structure
in
response
changes
land
use
at
local
buffer
spatial
extents.
We
assumed
that
disturbances
negatively
affect
condition.
Greater
influence
observed
extent
(Local
Disturbance
Index
–
LDI)
than
(Buffer
BDI)
extent.
Likewise,
biological
metric
responses
were
stronger
relative
LDI
BDI
or
Integrated
(IDI).
These
results
support
establishing
a
biomonitoring
program
for
assessing
body
Doce
River
basin
facilitate
conserving
aquatic
biodiversity
services
upper
Graipu
River.
Water,
Journal Year:
2023,
Volume and Issue:
15(7), P. 1387 - 1387
Published: April 3, 2023
Disentangling
the
effects
of
natural
factors
and
human
disturbances
on
freshwater
systems
is
essential
for
understanding
distributions
composition
biological
communities
their
relationship
with
physicochemical
factors.
As
spatial
extent
ecological
investigations
increases
from
local
to
global
scales,
efforts
account
increasing
influence
become
more
important.
This
article
synthesizes
current
knowledge
commonly
used
approaches
disentangling
these
aquatic
systems.
New
has
been
facilitated
by
availability
large-scale
geospatial
landscape
databases
that
facilitate
regional
analyses
classifications
in
conjunction
novel
identify
reference
conditions
statistical
partitioning
analyses.
synthesis
begins
a
summary
how
interactively
affect
It
then
provides
an
overview
why
it
separate
description
examples
make
separation
feasible.
last
currently-used
common
separating
disturbances.
Our
assembles
representative
one
place
provide
new
insights
stimulate
integrated
uses
multiple
development
so
management
actions
can
be
taken
protect
restore
ecosystem
health.
Healthcare Analytics,
Journal Year:
2023,
Volume and Issue:
5, P. 100287 - 100287
Published: Dec. 2, 2023
Income
inequality
is
a
prominent
contributor
to
health
disparities
in
the
U.S.
As
leading
capitalist
nation,
registers
highest
healthcare
expenditure
among
developed
countries
yet
grapples
with
widening
income
disparities.
The
chasm
between
rich
and
underprivileged
has
expanded
significantly
recent
decades,
profoundly
impacting
American
society.
This
study
explores
nuances
of
inequality,
its
ramifications,
potential
remedies,
analyzed
through
Gini
Coefficient.
Advanced
forecasting
models,
including
AutoRegressive
Integrated
Moving
Average
Regression
Analysis,
are
employed
anticipate
future
patterns.
research
highlights
value
analytics
understanding
complexities
inequality.
findings
underscore
pressing
need
for
effective
policies
address
this
mounting
challenge.
