Ecological Indicators,
Journal Year:
2020,
Volume and Issue:
114, P. 106323 - 106323
Published: March 20, 2020
Grassland
degradation
has
profound
negative
impacts
on
ecological
functions,
local
economic
development,
and
social
stability.
Although
there
are
many
studies
the
alpine
grassland
in
Tibetan
Plateau,
variation
response
of
meadows
to
restoration
processes,
underlying
mechanisms
remain
poorly
understood.
To
explore
these
issues,
we
selected
nine
levels
along
an
increasing
gradient
at
Zoige
collected
vegetation
soil
samples
August
2017
2018
assess
state
before
after
grazing
exclusion
(GE),
respectively.
The
results
showed
that
above-ground
biomass
(AGB),
below-ground
(BGB),
Shannon–Wiener
index,
water
content
(SWC),
organic
carbon
(SOC),
total
nitrogen
(STN),
phosphorus
decreased
gradually
with
severe
degrees
degradation,
whereas
bulk
density
pH
increased.
SWC
topsoil
presented
sharpest
change
slope
gradient,
indicating
was
a
sensitive
indicator
meadow
this
area.
One-year
GE
evidently
increased
SWC,
SOC,
STN,
AGB,
BGB
lightly
moderately
degraded
grasslands.
efficiency
first
then
turning
point
appearing
third
or
fourth
level.
Based
results,
can
conclude
short-term
is
effective
method
for
humid
area,
should
be
performed
shift
from
light
moderate
stages
when
recovery
highest.
These
findings
could
facilitate
better
approach
ecosystems.
Remote Sensing,
Journal Year:
2017,
Volume and Issue:
9(1), P. 55 - 55
Published: Jan. 11, 2017
The
ability
of
texture
models
and
red-edge
to
facilitate
the
detection
subtle
structural
vegetation
traits
could
aid
in
discriminating
mapping
grass
quantity,
a
challenge
that
has
been
longstanding
management
grasslands
southern
Africa.
Subsequently,
this
work
sought
explore
robustness
integrating
metrics
predicting
above-ground
biomass
growing
under
different
levels
mowing
burning
grassland
treatments.
Based
on
sparse
partial
least
squares
regression
algorithm,
results
study
showed
indices
improved
from
root
mean
square
error
perdition
(RMSEP)
0.83
kg/m2
an
RMSEP
0.55
kg/m2.
Texture
further
accuracy
estimation
0.35
combination
derivatives
(red-edge-derived
indices)
resulted
optimal
prediction
0.2
across
all
These
illustrate
prospect
combining
with
complex
This
offers
detailed
spatial
information
required
for
policy-making
sustainable
data-scarce
regions
such
as
Restoration Ecology,
Journal Year:
2020,
Volume and Issue:
28(5), P. 1067 - 1073
Published: May 14, 2020
The
historical
focus
in
research
and
policy
on
forest
restoration
temperate
ecosystems
has
created
misunderstandings
for
the
of
tropical
subtropical
old‐growth
grassy
biomes
(TGB).
Such
misconceptions
have
detrimental
consequences
biodiversity,
ecosystem
services,
human
livelihoods
woodlands,
savannas,
grasslands
worldwide.
Here,
we
demystify
TGB
myths
to
promote
a
positive
agenda
increase
likelihood
success
ambitious
landscape‐scale
goals
nonforest
ecosystems.
10
are:
(1)
originate
from
degraded
forests,
(2)
tree
cover
is
reliable
indicator
habitat
quality,
(3)
planting
trees
always
good
biodiversity
(4)
are
biodiversity‐poor
provide
few
(5)
enhancing
plant
nutrition
needed
restoration,
(6)
disturbance
detrimental,
(7)
techniques
used
restore
also
work
TGB,
(8)
represent
early
stages
succession,
(9)
grassland
only
about
grasses,
(10)
fast.
By
demystifying
hope
that
policymakers,
scientists,
restorationists
come
understand
embrace
value
these
motivated
establish
policies,
standards,
indicators,
enhance
restoration.
We
must
abandon
misperceptions
ecology
result
ill‐conceived
policies
build
an
informed
compelling
global
maintains
improves
well‐being
all
inhabitants
biomes.
Botanical Journal of the Linnean Society,
Journal Year:
2018,
Volume and Issue:
unknown
Published: Aug. 9, 2018
Effective
scientific
efforts
and
conservation
actions
transcend
political
boundaries,
encompassing
entire
ecological
units.
We
compiled
a
vascular
plant
species
list
for
the
Río
de
la
Plata
grassland
ecoregion,
one
of
largest
continuous
ecosystems,
in
Americas.
Our
is
based
on
existing
regional
lists,
online
databases
published
literature,
taxonomically
verified
complemented
by
additional
information
distribution
three
countries
(Argentina,
Brazil
Uruguay)
origin
species.
4864
accepted
names
belonging
to
194
families.
About
eight
percent
are
endemic;
naturalized
non-native
comprise
slightly
>
10%
dataset.
This
dataset
will
be
useful
supporting
planning
region
understanding
patterns
processes.
Grass and Forage Science,
Journal Year:
2022,
Volume and Issue:
77(3), P. 153 - 166
Published: Aug. 20, 2022
Abstract
Grassland
degradation
has
been
observed
worldwide
and
is
often
a
result
of
overexploitation
or
abandonment.
Knowledge‐driven
precise
grazing
management
required
to
use
grasslands'
potential
in
sustainable
way.
Information
gaps
lead
inefficiencies
land
ecosystem
service
provision.
Rapid
advances
automated
sensors
information
technologies
for
acquisition
on
herbage
availability,
controlling
animal
behaviour
setting
up
data‐driven
decision
support
tools
have
the
improve
management.
Sensors
IT‐based
methods
allow
spatiotemporal
dynamics
mass
quality
sward
structure
botanical
composition
be
obtained
automatically.
These
monitoring
enable
spatially
temporally
adjustment
forage
allowance
stocking
density.
Virtual
fencing
(VF)
an
innovative
digital
tool
fine‐tuned
control
animals.
VF
enables
farmers
adjust
flexibly
dynamically
by
moving
virtual
borders
mobile
user
interface
sending
new
coordinates
GPS
receiver
unit
each
animal's
collar.
promises
high
efficiency
with
no
obvious
negative
impacts
welfare.
The
enormous,
but
its
economic
viability
still
needs
verified
acceptance
authorities
public
supported.
A
system
that
optimizes
agronomic
ecological
outcomes
integrating
analysing
multiple
data
at
spatial
temporal
resolution
can
provide
sufficient
knowledge
confidence
decisions.
Integration
key
into
holistic
concept
take
next
level.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
154, P. 110737 - 110737
Published: July 27, 2023
Grassland
degradation
(within-state
change)
and
desertification
(state
conversion
from
grasslands
to
deserts)
are
different
states
in
the
complex
dynamic
process
of
grassland
deterioration.
However,
dynamics
associated
drivers
two
have
been
rarely
examined
separately,
which
is
critical
for
early
warning
conservation
policy
making.
Here,
Central
Asia
(CA)
were
studied
due
their
evident
vulnerability
climate
extremes
human
activities.
We
performed
a
two-step
approach
identify
state
zones
first
(i.e.,
grasslands,
deserts,
zones)
then
assess
vegetation
within
each
zone.
Finally,
we
quantified
roles
CO2
fertilization
effect,
change,
variability,
land
use
(LU),
anthropogenic
change
(ACC)
on
zones.
The
results
showed
that
areas
sparse
regions
(including
deserts
stable
2000
2020,
but
trends
greenness
divergent
with
reduction
an
increase
regions.
Furthermore,
variability
main
driving
force
affecting
CA.
Yet
greening
desert
was
mainly
driven
by
rising
LU.
Moreover,
ACC
degraded
20.63%
sparsely
vegetated
lands
CA
baseline
2000.
highlighted
risks
This
study
proposed
methodology
examine
detail
quantify
factors
(especially
ACC)
at
pixel
scale,
provided
some
insights
developing
region-precise
strategies
other
drylands.
International Journal of Digital Earth,
Journal Year:
2023,
Volume and Issue:
16(1), P. 1661 - 1684
Published: May 2, 2023
Grassland
is
the
second
largest
terrestrial
ecosystem
and
a
fundamental
land
resource
for
human
survival
development.
Although
grassland
degradation
recognized
crucial
ecological
problem,
there
no
consensus
on
area,
scope,
degree
of
its
global
trends,
making
implementation
Sustainable
Development
Goals
(SDG)
15.3
achieving
degradation-neutral
world
uncertain.
This
study
quantitatively
explored
trends
from
2000
to
2020
by
coupling
vegetation
growth
response
climate
change.
Furthermore,
driving
factors
behind
these
were
analyzed,
especially
in
hotspots.
Results
show
that
improvement
has
been
remarkable
since
2000,
with
1.92
times
larger
area
than
degrading
grassland,
amounting
372.47
×
104
193.57
km2,
respectively.
Africa
Asia
lead
improvement,
Globally,
combined
effects
change
activities
are
main
accounting
84.72
87.76%,
Notably,
played
role
reversing
trend
some
Finally,
this
provides
an
essential
scientific
reference
support
realizing
SDG
regional
scales.
Agronomy,
Journal Year:
2019,
Volume and Issue:
9(5), P. 239 - 239
Published: May 10, 2019
Natural
grasslands
are
being
progressively
degraded
around
the
world
due
to
human-induced
action
(e.g.,
overgrazing),
but
there
is
neither
a
widely
accepted
conceptual
framework
approach
degradation
studies
nor
clear
definition
of
what
“grassland
degradation”
is.
Most
drivers,
processes,
and
consequences
related
grassland
widespread
usually
separately
quoted
in
literature.
In
this
paper,
we
propose
comprehensive
with
different
categories,
for
monitoring
degradation,
new
based
on
current
ones.
We
provide
update
literature
review
an
expert
survey,
focused
Río
de
la
Plata
(RPG).
identified
“drivers”
as
external
forces
or
changes
that
cause
degradation;
“processes”
measurable
conditions
can
be
evaluated
using
indicators;
“consequences”
impacts
results
process
degradation.
expect
will
contribute
programs,
support
management
decisions,
design
conservation
measures,
communicate
importance
concepts
involved.
Particularly
RPG,
paper
promote
sustainable
practices
important
often
neglected
ecosystem.
