Abstract.
Non-floodplain
wetlands
–
those
located
outside
the
floodplains
have
emerged
as
integral
components
to
watershed
resilience,
contributing
hydrologic
and
biogeochemical
functions
affecting
watershed-scale
flooding
extent,
drought
magnitude,
water-quality
maintenance.
However,
absence
of
a
global
dataset
non-floodplain
limits
their
necessary
incorporation
into
water
quality
quantity
management
decisions
affects
wetland-focused
wildlife
habitat
conservation
outcomes.
We
addressed
this
critical
need
by
developing
publicly
available
Global
NFW
(non-floodplain
wetland)
dataset,
comprised
river-floodplain
map
at
90
m
resolution
coupled
with
ensemble
wetland
incorporating
multiple
data
layers.
The
floodplain,
wetland,
spatial
developed
here
were
successfully
validated
within
21
large
heterogenous
basins
across
conterminous
United
States.
identified
nearly
33
million
potential
an
estimated
extent
over
16
km2.
pixels
53
%
globally
pixels,
meaning
majority
globe’s
likely
occur
external
river
coastal
habitats.
NFWs
typically
small
(median
0.039
km2),
median
size
ranging
from
0.018–0.138
This
novel
geospatial
advances
resource-management
goals
while
providing
foundation
for
functional
assessments,
facilitating
inclusion
in
hydrological,
biogeochemical,
biological
model
development.
are
freely
through
States
Environmental
Protection
Agency’s
Dataset
Gateway
(https://gaftp.epa.gov/EPADataCommons/ORD/Global_NonFloodplain_Wetlands/)
https://doi.org/10.23719/1528331
(Lane
et
al.,
2023).
Authorea (Authorea),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 15, 2024
In
2023,
the
Supreme
Court's
majority
opinion
in
Sackett
v.
EPA
created
an
unclear
requirement
that
federally
protected
wetlands
must
have
a
"continuous
surface
connection"
to
waters.
This
study
estimates
potential
impact
of
interpretations
ruling
on
federal
protections,
using
wetland
flooding
frequency
as
proxy
for
new
requirement.
An
estimated
17
million
acres
(19%)
nearly
all
90
non-tidal
conterminous
US
could
be
without
and
variability
state
protections
creates
hotspots
risk.
The
high-level
provided
here
represent
first
step
towards
understanding
extent
highlight
uncertainty
introduced
by
ruling.
Molecular Ecology,
Journal Year:
2024,
Volume and Issue:
33(12)
Published: May 3, 2024
Assessing
direct
fitness
effects
of
individual
genetic
diversity
is
challenging
due
to
the
intensive
and
long-term
data
needed
quantify
survival
reproduction
in
wild.
But
resolving
these
necessary
determine
how
inbreeding
outbreeding
influence
eco-evolutionary
processes.
We
used
8
years
capture-recapture
single
nucleotide
polymorphism
genotypes
for
1906
individuals
test
heterozygosity
on
stage-specific
probabilities
salamander
Gyrinophilus
porphyriticus.
The
life
cycle
G.
porphyriticus
includes
an
aquatic
larval
stage
followed
by
metamorphosis
into
a
semi-aquatic
adult
stage.
In
our
study
populations,
lasts
6-10
years,
takes
several
months,
lifespan
can
reach
20
years.
Previous
studies
showed
that
sensitive
stage,
leading
us
predict
would
occur
during
metamorphosis.
Consistent
with
this
prediction,
monthly
probability
declined
multi-locus
(MLH),
from
0.38
at
lowest
MLH
(0.10)
0.06
highest
(0.38),
reduction
84%.
Body
condition
larvae
also
significantly
increasing
MLH.
These
relationships
were
consistent
three
streams.
With
evidence
localised
within
streams,
results
suggest
disrupts
adaptations
pre-metamorphic
metamorphic
environmental
gradients
along
adding
headwater
streams
are
hotspots
microgeographic
adaptation.
Our
underscore
importance
incorporating
history
analyses
similar
discrete
transitions
may
be
critical
periods
viability
selection.
Anything
present
on
the
surface
of
earth
is
a
geospatial
feature
which
study
and
analysis
can
be
made
by
researchers
scientists.
This
Geoinformation
performed
for
huge
variety
area
namely,
climate
change,
real
estate,
conservation
ecosystem.
To
further
increase
usability
processing
capabilities
set
spatial
data,
cloud
computing
paradigm
integrated
will
computation
power
during
manipulation
updation
over
web.
The
web
services
are
generally
standardized
Open
Geospatial
Consortium
(OGC)
following
client
-
server
model
focusing
major
clients
like
mobile
client,
thick
thin
clients.
demonstrate
this
paper
has
rephrased
Web
Services
architecture
based
all
case
studies
papers
that
put
into
use
various
contexts.
layer,
data
layer
an
application
consists
such
as
Map
(WMS),
Coverage
(WCS),
Features
(WFS)
Catalog
(CSW).
current
showcases
certain
implementation
wide
catagory
usage
healthcare,
disaster
management,
education,
institutional
retrieval,
heritage
event
management
many
more,
along
with
brief
how
were
implemented
integration
computing.
Abstract.
Non-floodplain
wetlands
–
those
located
outside
the
floodplains
have
emerged
as
integral
components
to
watershed
resilience,
contributing
hydrologic
and
biogeochemical
functions
affecting
watershed-scale
flooding
extent,
drought
magnitude,
water-quality
maintenance.
However,
absence
of
a
global
dataset
non-floodplain
limits
their
necessary
incorporation
into
water
quality
quantity
management
decisions
affects
wetland-focused
wildlife
habitat
conservation
outcomes.
We
addressed
this
critical
need
by
developing
publicly
available
Global
NFW
(non-floodplain
wetland)
dataset,
comprised
river-floodplain
map
at
90
m
resolution
coupled
with
ensemble
wetland
incorporating
multiple
data
layers.
The
floodplain,
wetland,
spatial
developed
here
were
successfully
validated
within
21
large
heterogenous
basins
across
conterminous
United
States.
identified
nearly
33
million
potential
an
estimated
extent
over
16
km2.
pixels
53
%
globally
pixels,
meaning
majority
globe’s
likely
occur
external
river
coastal
habitats.
NFWs
typically
small
(median
0.039
km2),
median
size
ranging
from
0.018–0.138
This
novel
geospatial
advances
resource-management
goals
while
providing
foundation
for
functional
assessments,
facilitating
inclusion
in
hydrological,
biogeochemical,
biological
model
development.
are
freely
through
States
Environmental
Protection
Agency’s
Dataset
Gateway
(https://gaftp.epa.gov/EPADataCommons/ORD/Global_NonFloodplain_Wetlands/)
https://doi.org/10.23719/1528331
(Lane
et
al.,
2023).
Journal of Hydrology X,
Journal Year:
2023,
Volume and Issue:
21, P. 100165 - 100165
Published: Nov. 18, 2023
Headwater
streams
(HWS)
are
ecologically
important
components
of
montane
ecosystems.
However,
they
difficult
to
map
and
may
not
be
accurately
represented
in
existing
spatial
datasets.
We
used
topographically
resolved
climatic
water
balance
data
satellite
indices
retrieved
from
Google
Earth
Engine
model
the
occurrence
(presence
or
absence)
HWS
across
Northwest
Montana.
A
multi-scale
feature
selection
(MSFS)
procedure
boosted
regression
tree
models/machine
learning
algorithms
were
identify
variables
associated
with
occurrence.
In
final
evaluation,
models
that
included
deficit
more
accurate
(83.5%
ranging
82.9%
83.7%)
than
using
only
terrain
(81.1%
80.7%
81.4%)
improved
upon
estimates
stream
extent
by
National
Hydrography
Dataset
Plus
High
Resolution
(NHDPlus
HR)
(82.7%
82.5%
83.1%).
Including
topoclimate
captured
varying
effect
upslope
accumulated
area
a
strong
moisture
gradient.
Multi-scale
cross-validation,
coupled
MSFS
algorithm
allowed
us
find
parsimonious
was
immediately
evident
standard
cross-validation
procedures.
More
predictions
have
potential
for
immediate
application
land
resource
management,
where
significant
field
time
can
spent
identifying
impacts
prior
contracting
planning.
Abstract.
Non-floodplain
wetlands
–
those
located
outside
the
floodplains
have
emerged
as
integral
components
to
watershed
resilience,
contributing
hydrologic
and
biogeochemical
functions
affecting
watershed-scale
flooding
extent,
drought
magnitude,
water-quality
maintenance.
However,
absence
of
a
global
dataset
non-floodplain
limits
their
necessary
incorporation
into
water
quality
quantity
management
decisions
affects
wetland-focused
wildlife
habitat
conservation
outcomes.
We
addressed
this
critical
need
by
developing
publicly
available
Global
NFW
(non-floodplain
wetland)
dataset,
comprised
river-floodplain
map
at
90
m
resolution
coupled
with
ensemble
wetland
incorporating
multiple
data
layers.
The
floodplain,
wetland,
spatial
developed
here
were
successfully
validated
within
21
large
heterogenous
basins
across
conterminous
United
States.
identified
nearly
33
million
potential
an
estimated
extent
over
16
km2.
pixels
53
%
globally
pixels,
meaning
majority
globe’s
likely
occur
external
river
coastal
habitats.
NFWs
typically
small
(median
0.039
km2),
median
size
ranging
from
0.018–0.138
This
novel
geospatial
advances
resource-management
goals
while
providing
foundation
for
functional
assessments,
facilitating
inclusion
in
hydrological,
biogeochemical,
biological
model
development.
are
freely
through
States
Environmental
Protection
Agency’s
Dataset
Gateway
(https://gaftp.epa.gov/EPADataCommons/ORD/Global_NonFloodplain_Wetlands/)
https://doi.org/10.23719/1528331
(Lane
et
al.,
2023).
Abstract.
Non-floodplain
wetlands
–
those
located
outside
the
floodplains
have
emerged
as
integral
components
to
watershed
resilience,
contributing
hydrologic
and
biogeochemical
functions
affecting
watershed-scale
flooding
extent,
drought
magnitude,
water-quality
maintenance.
However,
absence
of
a
global
dataset
non-floodplain
limits
their
necessary
incorporation
into
water
quality
quantity
management
decisions
affects
wetland-focused
wildlife
habitat
conservation
outcomes.
We
addressed
this
critical
need
by
developing
publicly
available
Global
NFW
(non-floodplain
wetland)
dataset,
comprised
river-floodplain
map
at
90
m
resolution
coupled
with
ensemble
wetland
incorporating
multiple
data
layers.
The
floodplain,
wetland,
spatial
developed
here
were
successfully
validated
within
21
large
heterogenous
basins
across
conterminous
United
States.
identified
nearly
33
million
potential
an
estimated
extent
over
16
km2.
pixels
53
%
globally
pixels,
meaning
majority
globe’s
likely
occur
external
river
coastal
habitats.
NFWs
typically
small
(median
0.039
km2),
median
size
ranging
from
0.018–0.138
This
novel
geospatial
advances
resource-management
goals
while
providing
foundation
for
functional
assessments,
facilitating
inclusion
in
hydrological,
biogeochemical,
biological
model
development.
are
freely
through
States
Environmental
Protection
Agency’s
Dataset
Gateway
(https://gaftp.epa.gov/EPADataCommons/ORD/Global_NonFloodplain_Wetlands/)
https://doi.org/10.23719/1528331
(Lane
et
al.,
2023).
Abstract.
Non-floodplain
wetlands
–
those
located
outside
the
floodplains
have
emerged
as
integral
components
to
watershed
resilience,
contributing
hydrologic
and
biogeochemical
functions
affecting
watershed-scale
flooding
extent,
drought
magnitude,
water-quality
maintenance.
However,
absence
of
a
global
dataset
non-floodplain
limits
their
necessary
incorporation
into
water
quality
quantity
management
decisions
affects
wetland-focused
wildlife
habitat
conservation
outcomes.
We
addressed
this
critical
need
by
developing
publicly
available
Global
NFW
(non-floodplain
wetland)
dataset,
comprised
river-floodplain
map
at
90
m
resolution
coupled
with
ensemble
wetland
incorporating
multiple
data
layers.
The
floodplain,
wetland,
spatial
developed
here
were
successfully
validated
within
21
large
heterogenous
basins
across
conterminous
United
States.
identified
nearly
33
million
potential
an
estimated
extent
over
16
km2.
pixels
53
%
globally
pixels,
meaning
majority
globe’s
likely
occur
external
river
coastal
habitats.
NFWs
typically
small
(median
0.039
km2),
median
size
ranging
from
0.018–0.138
This
novel
geospatial
advances
resource-management
goals
while
providing
foundation
for
functional
assessments,
facilitating
inclusion
in
hydrological,
biogeochemical,
biological
model
development.
are
freely
through
States
Environmental
Protection
Agency’s
Dataset
Gateway
(https://gaftp.epa.gov/EPADataCommons/ORD/Global_NonFloodplain_Wetlands/)
https://doi.org/10.23719/1528331
(Lane
et
al.,
2023).