Scientific investigations report,
Journal Year:
2022,
Volume and Issue:
unknown
Published: Jan. 1, 2022
First
posted
June
28,
2022
For
additional
information,
contact:
Director,
Oregon
Water
Science
CenterU.S.
Geological
Survey2130
SW
5th
AvenuePortland,
97201
White
sturgeon
(Acipenser
transmontanus)
are
long-lived,
late-maturing,
benthic-feeding
fish
that
ideal
candidates
for
assessing
the
bioaccumulation
of
persistent
chemicals.
In
this
study,
composite
tissue
samples
brain,
liver,
gonad,
and
fillet
were
collected
from
white
in
2009
five
sites
Hanford
Reach
Columbia
River
near
Hanford,
Washington.
The
at
each
site
analyzed
concentrations
individual
chemicals
as
well
total
four
chemical
classes:
(1)
organochlorine
(OC)
pesticides,
(2)
industrial
or
personal
care
products,
(3)
polybrominated
diphenyl
ether
(PBDE)
congeners,
(4)
polychlorinated
biphenyl
(PCB)
congeners.
results
showed
all
classes
present
fish,
OC
pesticides
degradation
products
(such
oxychlordane,
fipronil
sulfide,
dichlorodiphenyltrichloroethane
(DDT)
degradates,
PBDE
PCB
congeners)
often
tissues
sites.
Gonad
generally
had
highest
concentration
class,
followed
by
brains,
livers,
fillets.
several
exceeded
many
human
health
benchmarks
two
different
populations
(general/recreational
consumers
subsistence/Tribal
consumers),
was
especially
true
DDT
These
suggest
continued
monitoring
resident
Reach,
assessments
impacts
on
those
warranted.
Sustainable Environment,
Journal Year:
2017,
Volume and Issue:
3(1), P. 1339841 - 1339841
Published: Jan. 1, 2017
The
recent
literature
describing
polycyclic
aromatic
hydrocarbons
(PAHs)
in
air,
water,
soil
and
sediment,
waste
sludge,
biomonitoring,
toxicity,
are
reviewed.
Aspects
of
sampling,
sample
preparations
such
as
extraction
PAHs
discussed
analytical
methods
used
also
Developments
on
direct
measurement
techniques,
ultraviolet
absorption
spectrometry
synchronous
luminescence,
noted.
This
review
discusses
the
microbial
PAH-remediation
PAH-degradation
with
emphasis
biological
physico-chemical
factors
influencing
biodegradation.
PLoS ONE,
Journal Year:
2018,
Volume and Issue:
13(1), P. e0191472 - e0191472
Published: Jan. 24, 2018
Understanding
trends
in
the
diverse
resources
provided
by
large
rivers
will
help
balance
tradeoffs
among
stakeholders
and
inform
strategies
to
mitigate
effects
of
landscape
scale
stressors
such
as
climate
change
invasive
species.
Absent
a
cohesive
coordinated
effort
assess
important
river
resources,
logical
starting
point
is
our
ability
draw
inferences
from
existing
efforts.
In
this
paper,
we
use
common
analytical
framework
analyze
data
five
disparate
fish
monitoring
programs
better
understand
nature
spatial
temporal
assemblages.
We
evaluated
that
monitor
fishes
Colorado,
Columbia,
Illinois,
Mississippi,
Tallapoosa
using
non-metric
dimensional
scaling
ordinations
associated
tests
evaluate
assemblage
structure
native
biodiversity.
Our
results
indicate
assemblages
exhibited
significant
all
rivers.
also
document
species
diversity
were
variable
within
between
generally
more
evident
with
higher
richness
longer
duration.
discuss
shared
basin-specific
level
stressors.
Having
basic
understanding
extent
necessary
first
step
towards
factors
affecting
biodiversity
fisheries
Freshwater Science,
Journal Year:
2017,
Volume and Issue:
36(4), P. 901 - 914
Published: Oct. 3, 2017
Understanding
the
complex
relations
between
multiple
environmental
stressors
and
ecological
conditions
in
streams
can
help
guide
resource-management
decisions.
During
14
weeks
spring/summer
2013,
personnel
from
US
Geological
Survey
Environmental
Protection
Agency
sampled
98
wadeable
across
Midwest
Corn
Belt
region
of
USA
for
water
sediment
quality,
physical
habitat
characteristics,
communities.
We
used
these
data
to
develop
independent
predictive
disturbance
models
3
macroinvertebrate
metrics
a
multimetric
index.
developed
based
on
boosted
regression
trees
(BRT)
stressor
categories,
land
use/land
cover
(geographic
information
system
[GIS]),
all
in-stream
combined
(nutrients,
habitat,
contaminants),
GIS
plus
stressors.
The
had
best
overall
performance
with
an
average
cross-validation
R2
0.41.
were
generally
consistent
explanatory
variables
selected
within
each
group
4
invertebrate
modeled.
Variables
related
riparian
condition,
substrate
size
or
embeddedness,
velocity
channel
shape,
nutrients
(NH3),
contaminants
(pyrethroid
degradates)
important
descriptors
metrics.
Models
measured
performed
better
than
landscape
variables,
suggesting
that
characterization
reasonably
represents
dominant
factors
affecting
communities
are
acting
as
surrogates
directly
affect
biota.
