How urban greening policy affects urban ecological resilience: Quasi-natural experimental evidence from three megacity clusters in China
Journal of Cleaner Production,
Journal Year:
2024,
Volume and Issue:
452, P. 142233 - 142233
Published: April 13, 2024
Language: Английский
Research alignment in the U.S. national park system: Impact of transformative science policy on the supply and demand for scientific knowledge for protected area management
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
357, P. 120699 - 120699
Published: March 28, 2024
The
US
National
Park
System
encompasses
diverse
environmental
and
tourism
management
regimes,
together
governed
by
the
1916
Organic
Act
its
dual
mandate
of
conservation
provision
public
enjoyment.
However,
with
introduction
transformative
science
policy
in
2000's,
mission
scope
has
since
expanded
to
promote
overarching
science-based
objectives.
Yet
despite
this
paradigm
shift
instituting
"science
for
parks,
parks
science",
there
is
scant
research
exploring
impact
Science
Policy
on
knowledge.
We
address
gap
developing
a
spatiotemporal
framework
evaluating
alignment,
here
operationalized
via
quantifiable
measures
supply
demand
scientific
Specifically,
we
apply
machine
learning
algorithm
(Latent
Dirichlet
analysis)
comprehensive
park-specific
text
corpus
(combining
official
needs
statements
-i.e.
demand-
metadata
supply-)
define
joint
topic
space,
which
thereby
facilitates
quantifying
direction
degree
alignment
at
multiple
levels.
Results
indicate
an
overall
robust
misaligned
topics
tending
be
over-researched
(as
opposed
over-demanded),
may
favorable
many
but
inefficient
from
park
system
perspective.
further
that
exacerbated
misalignment
mandated
domains.
In
light
these
results,
argue
improved
decision
support
mechanisms
achieve
more
timely
efforts
towards
distinctive
needs,
fostering
convergent
knowledge
co-production
leveraging
full
value
Parks
as
living
laboratories.
Language: Английский
Illuminating the collective learning continuum in the Colorado River Basin Science‐Policy Forums
Environmental Policy and Governance,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 8, 2024
Abstract
Although
considerable
research
over
the
past
two
decades
has
examined
collective
learning
in
environmental
governance,
much
of
this
scholarship
focused
on
cases
where
occurred,
limiting
our
understanding
drivers
and
barriers
to
learning.
To
advance
knowledge
what
we
call
“collective
continuum,”
compare
was
not
found
occur
or
its
effects
were
“blocked.”
Through
semi‐structured
interviews
with
key
stakeholders
science‐policy
forums
Colorado
River
Basin,
a
large
complex
river
basin
western
North
America,
examine
differences
patterns
that
explain
moments
learning,
blocked
non‐learning,
drawing
insights
from
framework.
Our
results
find
various
factors
influence
non‐learning.
We
discover
technical
social
as
common
both
In
contrast,
more
structural
associated
At
same
time,
reveal
about
role
political
factors,
such
timing,
legal
constraints,
priorities,
which
are
underdeveloped
Overall,
these
findings
theoretical
continuum
offer
practical
may
strengthen
coordination
science
management
for
effective
governance
within
Basin.
Language: Английский
Socio-ecological analysis of the eutrophication in Chesapeake Bay, USA
Frontiers in Marine Science,
Journal Year:
2023,
Volume and Issue:
10
Published: Sept. 8, 2023
This
study
is
a
social-ecological
analysis
of
eutrophication
in
the
Chesapeake
Bay,
United
States
America
(USA).
It
uses
an
expanded
DPSIR
framework
(Drivers/Pressures/State/
Impacts/Responses)
methodology
to
analyze
issue.
In
addition,
typology
social
actors
and
stakeholders
socio-economic
part
system
identified.
These
include
residents,
agriculturists,
fishers,
real
estate
developers,
tourism
operators,
scientific
researchers,
state
federal
regulators.
The
results
found
that
Drivers
are
food
security,
housing,
economic
development,
recreation
pursuits,
sense
belonging,
population
growth.
result
human
Activities
such
as
land
coastal
change
for
coastline
changes
fisheries,
urban
or
suburban
burning
fossil
fuels,
agricultural
fertilization.
activities
exert
Pressures
wastewater
discharge,
runoff
from
cleared
land,
atmospheric
deposition
(NOx),
nutrient
input,
decreased
tidal
vegetation,
overfishing
filter
feeders.
alterations
State
environment
its
resilience
by
increasing
duration
areal
extent
hypoxia,
turbidity,
ratios.
also
causes
ecosystem
changes,
decrease
wildlife
diversity,
affects
services,
decreasing
buffering.
health
Bay
benefits
all
wildlife,
so
reduction
services
Impacts
on
society’s
welfare
well-being,
economy,
environmental
justice.
Examples
fishery
yields
poorer
water
quality,
affecting
aesthetics,
tourism,
ultimately
health.
governance
Response
degradation
main
management
Measures
has
been
formation
Program,
which
developed
several
agreements
improve
quality.
Foundation,
Progress,
Report
Cards
accountability
tools
observe
communicate
project
enforce
laws.
current
shows
promising
results,
but
further
efforts
required
Using
various
options
may
bridge
this
gap
benefit
stakeholders.
conclusion
that,
although
complex
problem,
there
knowledge-base
range
restore
Bay.
Language: Английский
Research Alignment in the U.S. National Parks System: Impact of Transformative Science Policy on the Supply of Scientific Knowledge for Protected Area Management
Felber Arroyave,
No information about this author
Jeff,
No information about this author
Steve Steve
No information about this author
et al.
Published: Jan. 1, 2024
The
US
national
parks
system
encompasses
diverse
environmental
and
tourism
management
regimes,
together
governed
by
the
1916
Organic
Act
its
dual
mandate
of
conservation
provision
public
enjoyment.
However,
with
introduction
transformative
science
policy
in
2000’s,
mission
scope
has
since
expanded
to
promote
overarching
science-based
objectives.
Yet
despite
this
paradigm
shift
instituting
“science
for
parks,
science”,
there
is
scant
research
exploring
impact
on
knowledge.
We
address
gap
developing
a
spatiotemporal
framework
evaluating
alignment,
here
operationalized
via
quantifiable
measures
supply
demand
scientific
Specifically,
we
apply
machine
learning
algorithm
(Latent
Dirichlet
analysis)
comprehensive
park-specific
text
corpus
(combining
official
needs
statements
-demand-
metadata
-supply-)
define
joint
topic
space,
which
thereby
facilitates
quantifying
direction
degree
alignment
at
multiple
levels.
Results
indicate
an
overall
robust
misaligned
topics
tending
be
over-researched
(as
opposed
over-demanded),
may
favorable
many
but
inefficient
from
park
perspective.
further
that
exacerbated
misalignment
mandated
domains.
In
light
these
results,
argue
improved
decision
support
mechanisms
achieve
more
timely
efforts
towards
distinctive
needs,
fostering
convergent
knowledge
co-production
leveraging
full
value
as
living
laboratories.
Language: Английский
National Forest City Policy and Urban Ecological Resilience: Evidence from 292 Cities in China
Forests,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1906 - 1906
Published: Oct. 29, 2024
The
process
of
sustainable
urban
development
faces
complex
and
severe
environmental
problems.
Therefore,
enhancing
ecological
resilience
(UER)
has
become
an
urgent
critical
goal.
In
this
study,
the
establishment
national
forest
cities
(NFCs)
in
China
is
regarded
as
exogenous
shock
event,
impact
NFCs
on
UER
its
mechanisms
are
investigated
based
data
from
292
spanning
2003
to
2021
using
a
difference-in-difference
method.
It
found
that
can
significantly
enhance
UER,
conclusion
holds
after
series
robustness
tests.
Mechanism
analysis
shows
effectively
strengthen
regulations,
upgrade
industrial
structures,
promote
green
innovation,
thus
UER.
Heterogeneity
indicates
effect
NFC
more
significant
low-carbon
non-pilot
cities,
with
higher
levels
development,
central
western
China.
Spatial
spillover
improve
neighboring
cities.
should
be
continuously
implemented
optimized
establish
long-term
mechanism
for
forests
resilience.
Language: Английский