Integrating meteorological and geospatial data for forest fire risk assessment
Zahra Parvar,
No information about this author
Sepideh Saeidi,
No information about this author
Seyedhamed Mirkarimi
No information about this author
et al.
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
358, P. 120925 - 120925
Published: April 19, 2024
Language: Английский
Tree phenology of tropical semi-evergreen forest and its correlation with climatic variables in the Eastern Himalayan region of India
Prakash Sarma,
No information about this author
Ashalata Devi
No information about this author
Plant Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 17, 2025
Language: Английский
Unraveling Meteorological Drivers of Leaf Phenology in the Western Ghats, India
Karun Jose,
No information about this author
Nasla Najeeb,
No information about this author
Aritra Bandopadhyay
No information about this author
et al.
Trees Forests and People,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100861 - 100861
Published: April 1, 2025
Language: Английский
Influence of altitude on tree species diversity, structure and composition in a protected area of the Eastern Himalayas, Mizoram, India
Lalrinmuana,
No information about this author
J Lalbiaknunga,
No information about this author
P.C. Lalbiaknii
No information about this author
et al.
Flora,
Journal Year:
2025,
Volume and Issue:
unknown, P. 152741 - 152741
Published: April 1, 2025
Language: Английский
Role of transpiration in modulating ecosystem services in secondary tropical montane forests of Eastern Himalaya in India
Manish Kumar,
No information about this author
Yangchenla Bhutia,
No information about this author
Girish Rama Varma
No information about this author
et al.
Ecohydrology & Hydrobiology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 1, 2024
Language: Английский
Coupled effects of climate change and human activities on vegetation dynamics in the Southwestern Alpine Canyon Region of China
Jinlin Lai,
No information about this author
Shi Qi
No information about this author
Journal of Mountain Science,
Journal Year:
2024,
Volume and Issue:
21(10), P. 3234 - 3248
Published: Oct. 1, 2024
Language: Английский
Long-term Spatio-temporal Vegetation Dynamics to Climate Change in Koppen Climatic Regions of India
Earth Systems and Environment,
Journal Year:
2024,
Volume and Issue:
8(4), P. 1327 - 1346
Published: Oct. 24, 2024
Language: Английский
Statistical modelling of height growth in urban forestry plantations
Swayam Mallick,
No information about this author
Akshya Pattanaik
No information about this author
Arboricultural Journal,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 17
Published: June 12, 2024
Urban
plantation
dynamics
in
different
topographical
and
climatic
conditions
Odisha
were
evaluated
using
linear
model
selection
regularisation
techniques.
The
main
objective
was
to
evaluate
how
what
extent
the
urban
plantations
respond
various
edaphic
conditions.
relationship
between
vegetation
growth
soil
parameters
studied
four
statistical
learning
tools,
subset
selection,
ridge
regression,
lasso,
partial
least
squares
their
performance
compared
a
multiple
regression
model.
test
MSE
for
models
be
16,261.54,
12245.11,
16263.79
14,317.21,
respectively.
Results
proved
that
methods,
namely
regressions
more
accurate
than
regression.
From
results,
it
can
safely
concluded
temperature
shows
greater
correlation
with
parameters.
Precipitation
also
plays
vital
role
dynamics.
Soil
indicate
positive
of
growth.
Language: Английский
Volumetric tree growth models for aboveground biomass estimation of Pinus kesiya and Toona ciliata in Northeast India
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
44(5), P. 958 - 965
Published: May 29, 2024
Pinus
kesiya
and
Toona
ciliata
are
widely
distributed
commercially
important
tree
species
in
Northeast
India.
However,
precise
volume
estimation
is
absent;
therefore,
the
of
biomass
carbon
stock
these
difficult.
The
present
study
attempted
to
bridge
this
gap
by
developing
non-destructive
allometric
models
for
estimating
trees.
Allometric
were
developed
selecting
46
trees
P.
54
T.
from
different
diameter
classes
covering
entire
girth
range.
For
study,
total
height
(H),
at
breast
(DBH)
various
heights
both
measured.
performance
was
assessed
based
on
coefficient
determination
(adjusted
R2)
Akaike's
Information
Criterion
(A.I.C.),
besides
many
other
statistics.
best-fit
model
was:
lnAGB
=
−3.7268
+
1.5908
(lnD*H)
−2.0311
1.4858
(ln
D*H*WD).
may
be
suitable
species-specific
species.
will
useful
sequestration
potential
region,
which
help
assessment
global
cycling.
Language: Английский
Assessing multi-decadal climatic variability and its impact on cardamom cultivation in the Indian Cardamom Hills
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 26, 2024
This
study
examines
the
multi-decadal
variability
and
trends
of
surface
air
temperature
precipitation
in
Indian
Cardamom
Hills
(ICH),
a
degraded
tropical
rainforest
area
unique
for
cardamom
cultivation.
Utilizing
observed
long-term
climatic
data
(1958–2017),
statistical
methods
such
as
Mann–Kendall
test
(MKT),
Sen's
Slope
Estimator
(SSE),
Incremental
Trend
Analysis
(ITA)
were
applied
to
assess
impact
temperature,
rainfall,
number
rainy
days
on
yield.
The
analysis
revealed
significant
decline
annual
rainfall
by
approximately
13.62
mm
per
year,
with
pronounced
seasonal
declines
0.87
winter,
12.33
pre-monsoon,
24.93
southwest
monsoon,
18.10
post-monsoon.
Simultaneously,
dropped
nearly
19.75
over
40-year
period.
A
noticeable
increase
decadal
minimum
average
temperatures
was
observed,
highlighting
potential
adverse
effects
yield
irrigation
water
resources.
findings
suggest
that
excessive
during
monsoon
negatively
correlates
yield,
while
slightly
warmer
show
weak
positive
correlation.
also
emphasizes
need
adaptive
agricultural
practices
climate-resilient
policies
mitigate
changing
conditions
production.
research
contributes
valuable
insights
farmers
other
stakeholders
well
policymakers
aiming
ensure
sustainable
cultivation
amidst
climate
change.
Language: Английский