Long-term field observations of the impacts of drought and stand development on runoff in a forested watershed
Shulan Sun,
No information about this author
Wenhua Xiang,
No information about this author
Zhonghui Zhao
No information about this author
et al.
Agricultural and Forest Meteorology,
Journal Year:
2025,
Volume and Issue:
367, P. 110519 - 110519
Published: March 30, 2025
Language: Английский
In-phase variations of winter and spring dryness/wetness over Southwest China: impact of winter snow cover in the Tibetan Plateau
Juan Wang,
No information about this author
Ke Fan,
No information about this author
Zhiqing Xu
No information about this author
et al.
Climate Dynamics,
Journal Year:
2025,
Volume and Issue:
63(4)
Published: April 1, 2025
Language: Английский
The Impact of Climate Risk on Corporate Digital Transformation: Evidence from Chinese Listed Companies
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 28, 2025
Abstract
This
study
investigates
how
climate
risk
influences
corporate
digital
transformation
using
data
from
Chinese
A-share
listed
companies
(2000–2023).
Through
text
analysis
and
fixed-effects
regression
models,
we
demonstrate
that
firms
strategically
accelerate
to
mitigate
risks,
particularly
non-state-owned
enterprises,
high-tech
firms,
with
higher
institutional
ownership.
Financial
constraints,
analyst
coverage,
media
scrutiny
amplify
this
relationship.
Robustness
checks
including
propensity
score
matching
difference-in-differences
confirm
our
findings.
The
results
provide
novel
insights
into
serves
as
a
resilience-building
mechanism
against
offering
practical
guidance
for
policymakers
strategists
in
emerging
economies.
Language: Английский
Enhanced Three-Dimensional (3D) Drought Tracking for Future Migration Patterns in China Under CMIP6 Projections
Water,
Journal Year:
2025,
Volume and Issue:
17(7), P. 1099 - 1099
Published: April 7, 2025
Analyzing
drought
evolution
requires
dynamic
three-dimensional
methods
to
capture
spatiotemporal
continuity.
Existing
approaches
oversimplify
patch
connectivity
by
relying
on
overlapping
logic,
thereby
neglecting
evolution.
We
propose
a
novel
identification
method
incorporating
spatial
autocorrelation
and
anisotropy.
Using
the
ERA5
dataset
multi-model
ensemble
mean
(MEM)
of
CMIP6,
we
investigate
meteorological
characteristics
migration
patterns
in
China
during
1961–2010
(historical)
2031–2080
(future,
SSP2-4.5/SSP5-8.5).
Results
indicate
future
frequency
may
decline
over
70%
compared
historical
levels,
but
severity,
duration,
affected
area,
distance
could
increase
significantly.
Most
droughts
(96.3%
for
SSP2-4.5;
95.0%
SSP5-8.5)
are
projected
spring
summer.
Drought
trajectories
predominantly
shift
northeastward
(33%
38%
SSP5-8.5),
with
hotspots
transitioning
from
upper
Yangtze
River
Basin
Yellow
Basin.
These
findings
enhance
understanding
dynamics
support
development
improved
monitoring
frameworks.
The
methodology
projections
provide
critical
insights
risk
management
adaptive
water
resource
planning
under
climate
change.
Language: Английский