Multi-temporal
remote
sensing
imagery
can
be
used
to
explore
how
mangrove
assemblages
are
changing
over
time
and
facilitate
critical
interventions
for
ecological
sustainability
effective
management.
This
study
aims
the
spatial
dynamics
of
extents
in
Palawan,
Philippines,
specifically
Puerto
Princesa
City
(PPC),
Taytay,
Aborlan,
future
prediction
Palawan
using
Markov
Chain
model.
The
multi-date
Landsat
imageries
during
period
1988–2020
were
this
research.
Support
Vector
Machine
algorithm
was
sufficiently
feature
extraction
generate
satisfactory
accuracy
results
(>70%
Kappa
coefficient
values;
91%
average
overall
accuracies).
In
a
5.2%
(2,693
ha)
decrease
recorded
1988–1998
an
8.6%
increase
2013–2020
4,371
ha.
PPC,
95.9%
(2,758
observed
2.0%
(136
2013–2020.
mangroves
Taytay
Aborlan
both
gained
additional
2,138
ha
(55.3%)
228
(16.8%)
but
also
decreased
from
2013
2020
by
3.4%
(247
0.2%
(3
ha),
respectively.
However,
projected
suggest
that
areas
will
likely
2030
(to
64,946
2050
66,972
ha).
demonstrated
capability
model
context
involving
policy
intervention.
since
research
did
not
capture
environmental
factors
may
had
influenced
changes
patterns,
it
is
suggested
addition
Cellular
Automata
Markovian
modelling.
Abstract.
Research
around
water
security
in
the
Peruvian
Andes
rarely
includes
a
local
perspective
or
engages
participatory
approach
with
communities
within
research
process.
Here
we
share
four
key
lessons
from
an
interdisciplinary
project
that
gathered
community
perspectives
on
quality
issues
upper
Rio
Santa
basin.
Mixed-methods
data
was
collected
via
photo
elicitation
app
survey
(Nuestro
Rio),
and
field
work
campaign.
Our
main
learnings
were
i)
importance
of
in-person
engagement;
ii)
accessibility
technology
for
collection;
iii)
need
co-produced
knowledge
solutions;
iv)
complexity
as
environmental
concept.
highlights
effective
participant
engagement
methods
to
support
socio-environmental
integration
sustainable
decision-making
resource
management.
Abstract.
Research
around
water
security
in
the
Peruvian
Andes
rarely
includes
a
local
perspective
or
engages
participatory
approach
with
communities
within
research
process.
Here
we
share
four
key
lessons
from
an
interdisciplinary
project
that
gathered
community
perspectives
on
quality
issues
upper
Rio
Santa
basin.
Mixed-methods
data
was
collected
via
photo
elicitation
app
survey
(Nuestro
Rio),
and
field
work
campaign.
Our
main
learnings
were
i)
importance
of
in-person
engagement;
ii)
accessibility
technology
for
collection;
iii)
need
co-produced
knowledge
solutions;
iv)
complexity
as
environmental
concept.
highlights
effective
participant
engagement
methods
to
support
socio-environmental
integration
sustainable
decision-making
resource
management.
Abstract.
Research
around
water
security
in
the
Peruvian
Andes
rarely
includes
a
local
perspective
or
engages
participatory
approach
with
communities
within
research
process.
Here
we
share
four
key
lessons
from
an
interdisciplinary
project
that
gathered
community
perspectives
on
quality
issues
upper
Rio
Santa
basin.
Mixed-methods
data
was
collected
via
photo
elicitation
app
survey
(Nuestro
Rio),
and
field
work
campaign.
Our
main
learnings
were
i)
importance
of
in-person
engagement;
ii)
accessibility
technology
for
collection;
iii)
need
co-produced
knowledge
solutions;
iv)
complexity
as
environmental
concept.
highlights
effective
participant
engagement
methods
to
support
socio-environmental
integration
sustainable
decision-making
resource
management.
Hydrological Sciences Journal,
Journal Year:
2022,
Volume and Issue:
67(14), P. 2211 - 2213
Published: Sept. 29, 2022
In
this
reply
to
Thaler,
we
take
the
opportunity
explore
two
main
aspects
of
his
piece
continue
discussion:
(1)
integration
data
from
social
and
natural
sciences,
(2)
importance
transdisciplinary
research.
We
agree,
highlight
that
necessary
learning,
reflections
participation
processes
are
time-intensive
for
researchers,
practitioners
participants.
believe
these
discussion
pieces
important
informing,
engaging,
debating
challenges
practices,
providing
continued
opportunities
learn
one
another,
enabling
new
forms
research
collaborations
flourish.
Multi-temporal
remote
sensing
imagery
can
be
used
to
explore
how
mangrove
assemblages
are
changing
over
time
and
facilitate
critical
interventions
for
ecological
sustainability
effective
management.
This
study
aims
the
spatial
dynamics
of
extents
in
Palawan,
Philippines,
specifically
Puerto
Princesa
City
(PPC),
Taytay,
Aborlan,
future
prediction
Palawan
using
Markov
Chain
model.
The
multi-date
Landsat
imageries
during
period
1988–2020
were
this
research.
Support
Vector
Machine
algorithm
was
sufficiently
feature
extraction
generate
satisfactory
accuracy
results
(>70%
Kappa
coefficient
values;
91%
average
overall
accuracies).
In
a
5.2%
(2,693
ha)
decrease
recorded
1988–1998
an
8.6%
increase
2013–2020
4,371
ha.
PPC,
95.9%
(2,758
observed
2.0%
(136
2013–2020.
mangroves
Taytay
Aborlan
both
gained
additional
2,138
ha
(55.3%)
228
(16.8%)
but
also
decreased
from
2013
2020
by
3.4%
(247
0.2%
(3
ha),
respectively.
However,
projected
suggest
that
areas
will
likely
2030
(to
64,946
2050
66,972
ha).
demonstrated
capability
model
context
involving
policy
intervention.
since
research
did
not
capture
environmental
factors
may
had
influenced
changes
patterns,
it
is
suggested
addition
Cellular
Automata
Markovian
modelling.
