World Development,
Journal Year:
2022,
Volume and Issue:
157, P. 105956 - 105956
Published: May 25, 2022
The
opportunities
and
challenges
of
ensuring
participation
success
Integrated
Conservation
Development
Projects
(ICDPs)
have
been
fairly
studied.However,
it
is
not
often
well-established
which
institutional
mechanisms
explain
the
failure
in
meeting
participatory
project
goals.To
fill
this
gap,
we
develop
a
telecoupling-inspired
diagnostic
approach
to
assess
level
distance
opportunity
for
collective
decision-making
ICDPs
by
looking
at
information
flows,
asset
rules
regulation
flows
between
actors.We
construct
three
management
archetypes
based
on
direction
directness
such
flows:
decoupled
management,
telecoupled
collaborative
management.The
are
applied
case
study
World
Bankfinanced
ICDP
Argentina,
drawing
qualitative
data
collected
from
individual
interviews
with
actors.Our
findings
challenge
notion
that
becomes
if
design
provides
guidelines
implementation.We
find
our
helps
concretize
call
inclusion
local
actors
across
cycle,
needed
make
projects
collaborative,
relevant,
socially
just.Finally,
advocate
future
assessments
build
map
practical
relationships
provide
transparency
de
facto
collaboration.This
article
relevant
both
academics
practitioners
designing
implementing
conservation
development
projects.
Agricultural Systems,
Journal Year:
2023,
Volume and Issue:
213, P. 103800 - 103800
Published: Nov. 3, 2023
Farm
typologies
help
to
identify
patterns
across
a
wide
range
of
farm
systems
and
describe
heterogeneity
in
agriculture
concisely.
They
can
also
support
the
design
agricultural
policies
by
providing
information
knowledge
about
policy
target
groups.
For
example,
voluntary
agri-environmental
schemes
could
be
tailored
specific
landscapes
types.
typologies,
however,
are
often
developed
from
scratch,
with
limited
connection
previous
studies
making.
The
objective
this
study
is
clarify
purposes
research
making
develop
framework
that
allows
increase
usefulness
usability
for
Based
on
review
13
systematically
identified
overview
we
establishes
connections
between
along
different
stages
process.
We
find
multiple
two
most
common
which
understanding
characteristics,
heterogeneity,
development
newly
suggests
connecting
these
improve
validity,
transferability,
relevance
Our
provides
an
entry
point
encouraging
cooperation
developers
users
improvement
through
new
data
(including
behavioural
data)
methods
such
as
machine
learning.
conclude
future
build
existing
work
but
must
aware
challenges
associated
use
Knowledge
prospects
using
usabilityof
contribute
targeted
instruments.
By
increasing
acceptance,
perceived
fairness,
legitimacy,
their
effectiveness
efficiency,
urgently
needed
successful
transformation
more
sustainable
sector.
Geomorphology,
Journal Year:
2021,
Volume and Issue:
390, P. 107870 - 107870
Published: July 22, 2021
The
process
of
interpretation,
and
the
ways
in
which
knowledge
builds
upon
interpretations,
has
profound
implications
scientific
managerial
terms.
Despite
significance
these
issues,
geomorphologists
typically
give
scant
regard
to
such
deliberations.
Geomorphology
is
not
a
linear,
cause-and-effect
science.
Inherent
complexities
uncertainties
prompt
perceptions
interpretation
geomorphology
as
frustrating
form
witchcraft
or
wizardry
—
dark
art.
Alternatively,
acknowledging
challenges
recognises
fun
be
had
puzzle-solving
encounters
that
apply
abductive
reasoning
make
sense
physical
landscapes,
seeking
generate
with
reliable
evidence
base.
Carefully
crafted
approaches
relate
generalised
understandings
derived
from
analysis
remotely
sensed
data
field
observations/measurements
local
support
appropriately
contextualised
place-based
applications.
In
this
paper
we
develop
cognitive
approach
(Describe-Explain-Predict)
interpret
landscapes.
Explanation
meaningful
description,
thereby
supporting
predictions,
multiple
lines
approach.
Interpretation
transforms
into
provide
supports
particular
argument.
Examples
fluvial
demonstrate
data-interpretation-knowledge
sequence
used
analyse
river
character,
behaviour
evolution.
Although
Big
Data
machine
learning
applications
present
enormous
potential
transform
data-rich,
increasingly
predictive
science,
outline
inherent
dangers
allowing
prescriptive
synthetic
tools
do
thinking,
interpreting
differences
an
important
element
geomorphic
enquiry.
Earth s Future,
Journal Year:
2022,
Volume and Issue:
10(9)
Published: Aug. 31, 2022
Abstract
Achieving
the
Sustainable
Development
Goals
(SDGs)
is
contingent
on
managing
complex
interactions
that
create
synergies
and
trade‐offs
between
different
goals.
It
is,
therefore,
important
to
improve
our
understanding
of
them,
their
underlying
causal
drivers,
future
behaviors,
policy
implications.
Prominent
methods
interaction
analysis
focus
modeling
or
data‐driven
statistical
correlation
are
often
insufficient
for
giving
an
integrated
view
drivers
complexity.
These
also
usually
too
technically
heavily
provide
decision‐makers
with
simple
practical
tools
easily
actionable
understandable
results.
Here,
we
introduce
a
flexible
systemic
approach,
termed
archetype
analysis,
generalizes
number
recurring
patterns
among
SDGs
unique
We
review
eight
archetypes
as
thinking
aids
analyze
some
trade‐offs,
supported
by
several
empirical
examples
related
(e.g.,
poverty,
food,
well‐being,
water,
energy,
housing,
climate,
land
use)
demonstrate
how
they
can
be
operationalized
in
practice.
The
aimed
help
researchers
policymakers
diagnostic
tool
identify
fundamental
mechanisms
barriers
resistance
SDG
progress,
comparative
enhance
knowledge
transfer
cases
similar
prospective
design
synergistic
policies
sustainable
development.
Global Environmental Change,
Journal Year:
2024,
Volume and Issue:
86, P. 102849 - 102849
Published: May 1, 2024
Land
use
is
a
key
driver
of
the
ongoing
biodiversity
crisis
and
therefore
also
major
opportunity
for
its
mitigation.
However,
appropriately
considering
diversity
land-use
actors
activities
in
conservation
assessments
planning
challenging.
As
result,
top-down
policy
are
often
criticized
lack
contextual
nuance
widely
acknowledged
to
be
required
effective
just
action.
To
address
these
challenges,
we
have
developed
conceptually
consistent,
scalable
land
system
typology
demonstrated
usefulness
world's
tropical
dry
woodlands.
Our
identifies
that
represent
typical
threats
opportunities
We
identified
systems
hierarchical
way,
with
global
level
allowing
broad-scale
comparative
work.
Nested
within
it,
regionalized
provides
social-ecological
specificity
context.
showcase
this
regionalization
five
hotspots
change
loss
woodlands
Argentina,
Bolivia,
Mozambique,
India,
Cambodia.
Unlike
other
approaches
present
use,
our
accounts
complexity
overlapping
uses.
This
allows,
example,
assessment
how
measures
conflict
uses,
understanding
co-benefits
trade-offs
area-based
conservation,
mapping
threats,
or
targeting
actor-based
measures.
Moreover,
framework
enables
cross-regional
learning
by
revealing
both
commonalities
differences,
as
demonstrate
here
By
bridging
gap
between
global,
top-down,
regional,
bottom-up
initiatives,
more
contextually
appropriate
sustainability
across
scales
targeted
social-ecologically
nuanced
interventions.
Environmental Research Letters,
Journal Year:
2022,
Volume and Issue:
17(2), P. 025010 - 025010
Published: Jan. 26, 2022
Abstract
Archetype
analysis
is
a
promising
approach
in
sustainability
science
to
identify
patterns
and
explain
mechanisms
shaping
the
of
social-ecological
systems.
Although
considerable
efforts
have
been
devoted
developing
quality
standards
methodological
advances
for
archetype
analysis,
validation
remains
major
challenge.
Drawing
on
insights
from
two
international
workshops
broader
literature
validity,
we
propose
framework
that
identifies
describes
six
dimensions
validity:
conceptual;
construct;
internal;
external;
empirical;
application
validity.
We
first
discuss
relation
different
approaches
purposes
analysis.
then
present
an
operational
use
researchers
assess
validity
support
sound
identification
policy-relevant
applications.
Finally,
apply
our
assessment
18
published
analyses,
which
describe
challenges
validating
suggest
ways
holistically
improve
identified
archetypes.
With
this,
contribute
more
rigorous
helping
develop
potential
guiding
solutions.
Environmental Research Letters,
Journal Year:
2024,
Volume and Issue:
19(4), P. 044026 - 044026
Published: Feb. 28, 2024
Abstract
We
analyze
archetypes
of
farmer
groups
conducting
pond
aquaculture
across
the
province
Nusa
Tenggara
Barat,
Indonesia
using
Ostrom’s
social-ecological
systems
framework.
Pond
farmers
share
coastal
irrigation
infrastructure
as
common
property,
among
other
resources,
and
are
encouraged
by
government
to
organize
into
with
varying
sets
evolved
rules,
norms,
social
practices
environmental
conditions
shaping
what
they
produce,
how
much.
Yet
little
is
known
about
diversity
these
communities,
or
factors—both
ecological—shape
production
trends
sustainability
outcomes.
designed
a
standardized
survey
collect
data
on
26
indicators
from
85
diverse
community-based
fish
province.
Data
included
ownership,
history,
trends,
demographics,
involvement,
livelihood
dependence,
characteristics
risks.
Clustering
analysis
was
applied
identify
five
unique
each
distinguished
different
set
development
challenges
opportunities.
Our
findings
highlight
need
move
beyond
‘one-size-fits-all’
policy
approach.
suggest
moving
towards
locally
adapted
capacity
building
strategy
that
can
recognize
contextual
needs
so
programs
better
target
differentiate
between
face
similar
challenges.
further
discuss
empowering
collective
action
reduce
risks
associated
producing
blue
food
for
local
consumption
regional
markets.
Water Resources Research,
Journal Year:
2024,
Volume and Issue:
60(10)
Published: Oct. 1, 2024
Abstract
Groundwater
is
a
dynamic
component
of
the
global
water
cycle
with
important
social,
economic,
ecological,
and
Earth
system
functions.
We
present
new
classification
mapping
groundwater
systems,
which
we
call
groundwaterscapes,
that
represent
predominant
configurations
large‐scale
identify
map
15
groundwaterscapes
offer
lens
to
conceptualize,
study,
model,
manage
groundwater.
Groundwaterscapes
are
derived
using
novel
application
sequenced
self‐organizing
maps
capture
patterns
in
functions
at
grid
cell
level
(∼10
km),
including
groundwater‐dependent
ecosystem
type
density,
storage
capacity,
irrigation,
safe
drinking
access,
national
governance.
All
large
aquifer
systems
world
characterized
by
multiple
highlighting
pitfalls
treating
these
bodies
as
lumped
assessments.
evaluate
distribution
Global
Monitoring
Network
wells
across
find
industrial
agricultural
regions
disproportionately
monitored,
while
several
have
next
no
monitoring
wells.
This
disparity
undermines
ability
understand
dynamics
full
range
settings
characterize
globally.
argue
conceptual
spatial
tool
guide
model
development,
hypothesis
testing,
future
data
collection
initiatives
better
groundwater's
embeddedness
within
social‐ecological
scale.
Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
120(40)
Published: Sept. 26, 2023
This
Perspective
evaluates
recent
progress
in
modeling
nature-society
systems
to
inform
sustainable
development.
We
argue
that
work
has
begun
address
longstanding
and
often-cited
challenges
bringing
bear
on
problems
of
For
each
four
stages
practice-defining
purpose,
selecting
components,
analyzing
interactions,
assessing
interventions-we
highlight
examples
dynamical
methods
advances
their
application
have
improved
understanding
action.
Because
many
these
associated
focused
particular
sectors
places,
potential
key
open
questions
the
field
sustainability
science
is
often
underappreciated.
discuss
how
such
helps
researchers
interested
harnessing
insights
into
specific
locations
human
well-being,
focus
sustainability-relevant
timescales,
attend
power
differentials
among
actors.
In
parallel,
helping
advance
theory
by
enhancing
uptake
utility
frameworks,
clarifying
concepts
through
more
rigorous
definitions,
informing
development
archetypes
can
assist
hypothesis
testing.
conclude
suggesting
ways
further
leverage
emerging
context
science.