Impacts of climate change on fractional vegetation coverage of temperate grasslands in China from 1982 to 2015
Rong Ma,
No information about this author
Jiaqi Zhang,
No information about this author
Xiangjin Shen
No information about this author
et al.
Journal of Environmental Management,
Journal Year:
2023,
Volume and Issue:
350, P. 119694 - 119694
Published: Nov. 29, 2023
Language: Английский
Ecological Stress Assessment on Vegetation in the Al-Baha Highlands, Saudi Arabia (1991–2023)
Asma A. Al-Huqail,
No information about this author
Zubairul Islam
No information about this author
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(7), P. 2854 - 2854
Published: March 24, 2025
Climate
change
significantly
stresses
cold-adapted
and
stenothermic
plant
species
in
high-altitude
mountain
ecosystems.
The
diverse
at
elevations
ranging
from
1324
to
2527
m
above
mean
sea
level
(AMSL)
provide
an
ideal
setting
for
investigating
these
impacts
the
Al-Baha
Highlands,
Saudi
Arabia.
Therefore,
this
study
has
three
aims:
first,
estimate
vegetation
cover
2023
its
relationship
with
environmental
factors;
second,
analyze
long-term
trends
(1991–2023)
key
spectral
indices,
including
normalized
difference
index
(NDVI),
water
(NDWI),
open
(NDWIw),
land
surface
temperature
(LST),
using
Kendall
tau-b
method;
third,
model
ecological
stress
via
a
generalized
additive
(GAM)
assess
impact
on
vegetation.
We
utilized
Landsat
5/7/8
(C2
SR
T1)
indices
Copernicus
DEM
topographic
hydrological
analysis.
results
indicate
significant
roles
of
LST,
elevation,
distance
seasonal
streams
shaping
patterns
(p
<
2
×
10−16).
There
were
negative
NDVI
(91.66
km2),
NDWI
(138
NDWIw
(804
km2)
0.05),
whereas
LST
exhibited
positive
(116.15
0.05).
GAM
achieved
high
predictive
accuracy
(R2
=
0.979),
capturing
nonlinear
relationships
between
predictors
score.
Severe
occurred
zones
(>1700
AMSL)
south-facing
slopes
due
increased
declining
NDWI,
impacting
such
as
Juniperus
procera.
Hypothesis
testing
was
used
variations
NDVI,
trends,
highland
lower-elevation
areas,
revealing
highly
differences
2.2
This
provides
novel
insights
into
dynamics
relation
altitude
slope
aspects,
offering
actionable
recommendations
sustainable
ecosystem
management,
targeted
reforestation
resource
optimization
mitigate
preserve
biodiversity.
Language: Английский
Assessing drought risk of grassland ecosystem in Hulunbuir, China
Jiarui Han,
No information about this author
Yinglong Sun,
No information about this author
Feiyun Yang
No information about this author
et al.
Ecological Indicators,
Journal Year:
2025,
Volume and Issue:
175, P. 113522 - 113522
Published: April 29, 2025
Language: Английский
Measuring the quality and accessibility of urban greenery using free data sources: A case study in Bratislava, Slovakia
Urban forestry & urban greening,
Journal Year:
2024,
Volume and Issue:
93, P. 128217 - 128217
Published: Jan. 23, 2024
The
importance
of
assessing
urban
greenery
is
growing,
especially
in
the
context
global
warming
and
emergence
heat
islands.
paper
proposes
a
set
measurements
to
evaluate
quality
accessibility
based
on
freely
available
geographic
data:
Sentinel-2
satellite
images,
Urban
Atlas,
Open
Street
Map.
(or
availability)
derived
from
images
by
using
spectral
Forest
Index
(FI).
proposed
Neighborhood
Green
Quality
Indexes
(NGQI0/30,
NGQI350)
near
far
surroundings
spatial
unit
averaging
FI
values.
Accessibility
Space
(AGSI)
measures
green
spaces
(GS)
number
theoretical
functional
levels
within
reach
average
normalised
distance
nearest
GS
across
levels.
We
also
propose
separately
assess
parks
with
amenities
through
Parks
(AUPI).
Such
areas
attract
specific
groups
population,
such
as
elderly
people
mothers
children,
who
are
among
most
vulnerable
during
waves.
can
be
applied
square
grid
buildings.
A
mutual
comparison
Bratislava,
capital
Slovakia,
confirmed
that
each
measurement
captures
different
characteristics
greenery.
two
other
widely
used
indicators
showed
achieves
highest
correlation
land
surface
temperature
hot
summer
days.
When
evaluating
precision
NGQI0/30
calculation,
Sentinel-2-derived
proved
sufficient
substitute
for
high-resolution
data
sources.
Since
do
not
require
complex
calculations
hard-to-obtain
data,
they
easily
applicable
cities.
Language: Английский
Contribution of Climatic Factors and Human Activities to Vegetation Changes in Arid Grassland
Mengyao Tuo,
No information about this author
Guoce Xu,
No information about this author
Tiegang Zhang
No information about this author
et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(2), P. 794 - 794
Published: Jan. 17, 2024
Clarifying
the
changing
trend
in
vegetation
and
its
affecting
variables
is
extremely
valuable
for
natural
resource
management.
Vegetation
changes
Yinshanbeilu
grassland
region,
which
situated
centre
of
Inner
Mongolia
northern
China
part
arid
steppe
are
sensitive
to
climatic
factors.
In
this
study,
we
investigated
zone
from
year
2000
2020
using
Normalized
Difference
Index
(NDVI)
data.
The
contribution
conditions
human
activities
annual
growing
season
was
quantified.
findings
revealed
that
cover
increased
at
a
rate
0.00267/a
between
2020.
Throughout
during
season,
precipitation
had
greater
influence
on
growth
than
other
climatological
most
places,
there
significant
positive
correlation
NDVI
precipitation,
negatively
correlated
with
average
rates
temperature,
cumulative
sunshine
hours,
potential
evapotranspiration
contributed
were
0.00173/a,
−0.00027/a,
0.00006/a,
0.00074/a,
respectively,
entire
year,
0.00180/a,
−0.00001/a,
0.00021/a,
0.00059/a
season.
impact
climate
change
more
pronounced,
accounting
84.76%
97.36%
change.
Humans
15.24%
total
2.64%
This
research’s
serve
as
scientific
support
preserving
environment
well
an
essential
reference
government
decision
making.
Language: Английский
Erçek Gölü (Van) Kapalı Havzası Arazi Kullanım ve Arazi Örtüsü Değişiklerinin Uzaktan Algılama Yöntemi Kullanılarak Belirlenmesi
Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi,
Journal Year:
2024,
Volume and Issue:
29(2), P. 514 - 529
Published: July 23, 2024
Bu
çalışmada
Erçek
Gölü
Kapalı
Alt
Havzası
(EGKH)
genelinde
meydana
gelen
mekânsal-zamansal
değişim
süreçlerini
belirlemek
amacı
ile
2006,
2012,
2016,
2018,
2020
ve
2022
yıllarına
ait
arazi
kullanım/arazi
örtüsü
(AKAÖ)
verileri
2020,
normalleştirilmiş
bitki
indeksi
(NBÖİ)
fark
su
(NFSİ)
kullanılmıştır.
AKAÖ,
NBÖİ
NFSİ
haritalarını
oluşturmak
için
ArcGIS
10.8
programında
Copernicus-Land
Monitoring
Service
ESRI-
Sentinel-2
Land
Cover
Explorer
uydu
görüntüleri
kullanılmış
AKAÖ
haritasından
elde
edilen
görüntüler
kendi
içerisinde
yedi
alt
sınıfa
(yerleşim
yeri,
orman,
kütlesi,
sulak
alan,
tarım
alanı,
çıplak
kar/buz
örtüsü)
ayrılmıştır.
görüntülerine
göre
2006-2020
yılları
arasında
yerleşim
yeri
alanlarında
artış
ise
azalmanın
geldiği
gözlemlenmiştir.
Havza
2016-2022
pozitif
(en
yüksek)
değerlerinin
0.822
0.865
değiştiğini
0.6-1
değer
aralığı
bazı
yıllar
dönüşümlü
gösterse
de
sağlıklı
veya
geniş
ormanlık
alanların
yayılım
çok
sınırlı
kaldığını
göstermektedir.
yıları
negatif
düşük)
değerleri
bir
yılında
azalış
eğilimi
gözlenmiştir.
EGKH’da
en
önemli
kütlesi
olan
Gölü’nün
alana
110.9
km2
düşük
107.24
sahip
olduğu
görülmüştür.
İlgili
göl
alanında
yaklaşık
%2.23
oranında
örtüsündeki
alanları
tarımsal
faaliyetleri
içerebilecek
insan
faaliyetlerinin
sonucu
olarak
gösterdiği
sonucuna
varılmıştır.
Analysis of measurement differences and causes of C, N, and P in river flooding areas—taking the Hailar River in China as an example
Xi Dong,
No information about this author
Chunming Hu
No information about this author
PeerJ,
Journal Year:
2024,
Volume and Issue:
12, P. e17745 - e17745
Published: July 12, 2024
The
Hailar
River
is
located
in
the
Inner
Mongolia
Autonomous
Region
of
Northeast
China.
It
a
connecting
hub
agricultural
pastoral
transitional
zone
on
Hulunbuir
grassland,
with
abundant
water
and
biodiversity
resources,
important
ecological
conservation
significance.
This
study
takes
as
research
area
to
evaluate
impact
main
influencing
factors
soil
C,
N,
P
measurement
from
upstream
downstream
concave
convex
riverbanks
River.
results
show
that:
(1)
average
particle
size
shows
differences
downstream:
Section
1
31.6–192.3
µm,
2
21–213
3
21–288
4
42–206
µm;
pH
value
generally
low,
while
increases.
reason
for
this
that
bank
has
sufficient
water,
which
plays
role
inhibiting
salt
content;
(2)
nutrient
content
higher
region
than
region,
difference
between
regions
relatively
small
bank;
(3)
banks
mostly
positively
correlated
moisture
content,
are
negatively
size.
Research
shown
different
cross-sections
downstream,
well
uneven
riverbanks,
significantly
affect
physicochemical
properties
measurements.
Studying
riparian
zones
under
typical
can
provide
new
ideas
regional
protection
even
global
cycling.
Language: Английский