Oikos,
Journal Year:
2019,
Volume and Issue:
128(9), P. 1215 - 1242
Published: May 8, 2019
Human
population
density
within
100
km
of
the
sea
is
approximately
three
times
higher
than
global
average.
People
in
this
zone
are
concentrated
coastal
cities
that
hubs
for
transport
and
trade
–
which
transform
marine
environment.
Here,
we
review
impacts
interacting
drivers
urbanization
(resource
exploitation,
pollution
pathways
ocean
sprawl)
discuss
key
characteristics
symptomatic
urban
ecosystems.
Current
evidence
suggests
these
systems
comprise
spatially
heterogeneous
mosaics
with
respect
to
artificial
structures,
pollutants
community
composition,
while
also
undergoing
biotic
homogenization
over
time.
Urban
ecosystem
dynamics
often
influenced
by
several
commonly
observed
patterns
processes,
including
loss
foundation
species,
changes
biodiversity
productivity,
establishment
ruderal
synanthropes
novel
assemblages.
We
potential
acclimatization
adaptation
among
taxa,
interactive
effects
climate
change
urbanization,
ecological
engineering
strategies
enhancing
By
assimilating
research
findings
across
disparate
disciplines,
aim
build
groundwork
ecology
a
nascent
field;
challenges
future
directions
new
field
as
it
advances
matures.
Ultimately,
all
sides
city
design:
architecture,
planning
civil
municipal
engineering,
will
need
prioritize
environment
if
negative
be
minimized.
In
particular,
account
accommodate
complex
system
could
enhance
human
functions
Global Change Biology,
Journal Year:
2020,
Volume and Issue:
26(10), P. 5844 - 5855
Published: July 12, 2020
Global
mangrove
loss
has
been
attributed
primarily
to
human
activity.
Anthropogenic
hotspots
across
Southeast
Asia
and
around
the
world
have
characterized
ecosystem
as
highly
threatened,
though
natural
processes
such
erosion
can
also
play
a
significant
role
in
forest
vulnerability.
However,
extent
of
threats
not
fully
quantified
at
global
scale.
Here,
using
Random
Forest-based
analysis
over
one
million
Landsat
images,
we
present
first
30
m
resolution
maps
drivers
from
2000
2016,
capturing
both
human-driven
stressors.
We
estimate
that
62%
losses
between
2016
resulted
land-use
change,
through
conversion
aquaculture
agriculture.
Up
80%
these
occurred
within
six
Asian
nations,
reflecting
regional
emphasis
on
enhancing
for
export
support
economic
development.
Both
anthropogenic
declined
slower
declines
caused
an
increase
their
relative
contribution
total
area.
attribute
decline
regionally
dependent
combination
increased
conservation
efforts
lack
remaining
mangroves
viable
conversion.
While
restore
protect
appear
be
effective
decadal
timescales,
emergence
presents
immediate
challenge
coastal
adaptation.
anticipate
our
results
will
inform
decision-making
restoration
initiatives
by
providing
locally
relevant
understanding
causes
loss.
Annual Review of Environment and Resources,
Journal Year:
2019,
Volume and Issue:
44(1), P. 89 - 115
Published: Aug. 10, 2019
Intertidal
mangrove
forests
are
a
dynamic
ecosystem
experiencing
rapid
changes
in
extent
and
habitat
quality
over
geological
history,
today
into
the
future.
Climate
sea
level
have
drastically
altered
distribution
since
their
appearance
record
∼75
million
years
ago
(Mya),
through
to
Holocene.
In
contrast,
contemporary
dynamics
driven
primarily
by
anthropogenic
threats,
including
pollution,
overextraction,
conversion
aquaculture
agriculture.
Deforestation
rates
declined
past
decade,
but
future
of
mangroves
is
uncertain;
new
deforestation
frontiers
opening,
particularly
Southeast
Asia
West
Africa,
despite
international
conservation
policies
ambitious
global
targets
for
rehabilitation.
addition,
climatic
processes
such
as
sea-level
rise
that
were
important
history
will
continue
influence
Recommendations
given
reframe
conservation,
with
view
improving
state
PLoS ONE,
Journal Year:
2017,
Volume and Issue:
12(6), P. e0179302 - e0179302
Published: June 8, 2017
For
the
period
1996-2010,
we
provide
first
indication
of
drivers
behind
mangrove
land
cover
and
use
change
across
(pan-)tropics
using
time-series
Japanese
Earth
Resources
Satellite
(JERS-1)
Synthetic
Aperture
Radar
(SAR)
Advanced
Land
Observing
(ALOS)
Phased
Array-type
L-band
SAR
(PALSAR)
data.
Multi-temporal
radar
mosaics
were
manually
interpreted
for
evidence
loss
gain
in
forest
extent
its
associated
driver.
Mangrove
as
a
consequence
human
activities
was
observed
their
entire
range.
Between
1996-2010
12%
1168
1°x1°
mosaic
tiles
examined
contained
loss,
anthropogenic
degradation,
with
this
increasing
to
38%
when
combined
activity
prior
1996.
The
greatest
proportion
Southeast
Asia,
whereby
approximately
50%
region
corresponding
18.4%
global
tiles.
Asia
(33.8%)
forest.
primary
driver
found
be
conversion
aquaculture/agriculture,
although
substantial
advance
mangroves
also
evident
many
regions.
Ecosystem health and sustainability,
Journal Year:
2016,
Volume and Issue:
2(4)
Published: April 1, 2016
Abstract
Inter-related
and
spatially
variable
climate
change
factors
including
sea
level
rise,
increased
storminess,
altered
precipitation
regime
increasing
temperature
are
impacting
mangroves
at
regional
scales.
This
review
highlights
extreme
variation
in
threats
impacts,
how
these
impact
the
structure
of
mangrove
communities,
their
biodiversity
geomorphological
setting.
All
interplay
to
determine
resiliency
because
varied
type
geographical
location,
systems
good
models
for
understanding
such
interactions
different
Sea
rise
is
likely
influence
all
regions
although
local
impacts
be
more
varied.
Changes
frequency
intensity
storminess
have
a
greater
on
N
Central
America,
Asia,
Australia,
East
Africa
than
West
S.
America.
also
numerous
knowledge
gaps
with
some
particularly
understudied
(e.g.,
Middle
East).
While
there
has
been
recent
drive
address
especially
South
America
further
research
required
allow
researchers
tease
apart
processes
that
both
vulnerability
resilience
change.
A
globally
representative
view
would
us
better
understand
importance
landscape
setting
determining
system
future
Environmental Research Letters,
Journal Year:
2018,
Volume and Issue:
14(2), P. 024007 - 024007
Published: Dec. 6, 2018
We
investigate
the
causes
of
deforestation
in
Indonesia,
a
country
with
one
highest
rates
primary
natural
forest
loss
tropics,
annually
between
2001
and
2016.
use
high
spatial
resolution
imagery
made
available
on
Google
Earth
to
characterize
land
cover
types
following
random
selection
events,
drawn
from
Global
Forest
Change
dataset.
Notorious
region,
large-scale
oil
palm
timber
plantations
together
contributed
more
than
two-fifths
nationwide
over
our
study
period,
peak
late
aughts
followed
by
notable
decline
up
Conversion
forests
grasslands,
which
comprised
an
average
one-fifth
national
deforestation,
rose
sharply
dominance
years
periods
considerable
fire
activity,
particularly
Small-scale
agriculture
small-scale
also
were
dominant
drivers
outside
major
islands
Indonesia.
Although
relatively
small
contributors
total
logging
roads
responsible
for
declining
share
mining
activities
increasing
share,
period.
Direct
Indonesia
are
thus
spatially
temporally
dynamic,
suggesting
need
conservation
policy
responses
tailored
at
subnational
level,
new
methods
monitoring
time.
Environmental Research Letters,
Journal Year:
2018,
Volume and Issue:
13(5), P. 055002 - 055002
Published: April 13, 2018
With
the
growing
recognition
that
effective
action
on
climate
change
will
require
a
combination
of
emissions
reductions
and
carbon
sequestration,
protecting,
enhancing
restoring
natural
sinks
have
become
political
priorities.
Mangrove
forests
are
considered
some
most
carbon-dense
ecosystems
in
world
with
stored
soil.
In
order
for
mangrove
to
be
included
mitigation
efforts,
knowledge
spatial
distribution
soil
stocks
critical.
Current
global
estimates
do
not
capture
enough
finer
scale
variability
would
required
inform
local
decisions
siting
protection
restoration
projects.
To
close
this
gap,
we
compiled
large
georeferenced
database
measurements
developed
novel
machine-learning
based
statistical
model
density
using
spatially
comprehensive
data
at
30
m
resolution.
This
model,
which
prior
estimate
from
SoilGrids
250
was
able
63%
vertical
horizontal
organic
(RMSE
10.9
kg
m−3).
Of
variables,
total
suspended
sediment
load
Landsat
imagery
were
important
variable
explaining
density.
Projecting
across
forest
year
2000
yielded
an
6.4
Pg
C
top
meter
86–729
Mg
ha−1
range
all
pixels.
By
utilizing
remotely-sensed
cover
data,
loss
due
habitat
between
2015
30–122
Tg
>75%
attributable
Indonesia,
Malaysia
Myanmar.
The
resulting
map
products
work
intended
serve
nations
seeking
include
habitats
payment-for-
ecosystem
services
projects
designing
conservation
strategies.