Measuring hydrological alterations and landscape patterns for sustainable development through ecosystem connectivity in Hastinapur Wildlife Sanctuary, India
Journal of Environmental Sciences,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 1, 2025
Язык: Английский
Groundwater–Vegetation Interactions in Rangeland Ecosystems: A Review
Water,
Год журнала:
2025,
Номер
17(8), С. 1174 - 1174
Опубликована: Апрель 14, 2025
Water
scarcity
is
a
growing
global
issue,
especially
in
arid
and
semi-arid
rangelands,
primarily
due
to
climate
change
population
growth.
Groundwater
crucial
resource
for
vegetation
these
ecosystems,
yet
its
role
supporting
plant
life
often
not
fully
understood.
This
review
explores
the
interactions
between
groundwater
dynamics
various
rangeland
types.
serves
as
critical
water
source
that
helps
sustain
plants,
but
changes
availability,
depth,
quality
can
significantly
impact
health,
biodiversity,
ecosystem
stability.
Research
indicates
depth
affects
types
their
distribution,
with
specific
plants
thriving
at
certain
levels.
For
instance,
grasslands,
shallow
support
diverse
herbaceous
species,
while
deeper
conditions
may
favor
drought-tolerant
shrubs
trees.
Similarly,
forest
extensive
root
systems
access
both
soil
moisture,
playing
vital
regulation.
Savanna
environments
showcase
complex
interactions,
where
trees
grasses
compete
water,
potentially
benefiting
during
dry
seasons.
Climate
poses
additional
challenges
by
altering
rainfall
patterns
temperatures,
affecting
recharge
availability.
As
result,
it
develop
effective
management
strategies
integrate
conservation
health.
Innovative
monitoring
techniques,
including
remote
sensing,
provide
valuable
information
about
levels
on
vegetation,
enhancing
management.
emphasizes
importance
of
understanding
groundwater–vegetation
guide
sustainable
land
practices.
By
our
knowledge
connections
utilizing
advanced
technologies,
we
promote
resilience,
secure
resources,
biodiversity
systems.
Collaborative
efforts
among
local
communities,
scientists,
policymakers
are
essential
address
pressing
issues
ensure
sustainability
ecosystems
future
generations.
Язык: Английский
Futuristic flood risks assessment, in the Upper Vellar Basin, integrating AHP and bivariate analysis
Advances in Space Research,
Год журнала:
2024,
Номер
74(11), С. 5395 - 5416
Опубликована: Авг. 15, 2024
Язык: Английский
A cross-enterprise collaborative production scheduling decision support algorithm with multi-agent support
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
This
study
harnesses
the
capabilities
of
intelligent
agent
technology
to
develop
a
framework
for
cross-enterprise
collaborative
production
scheduling
decision-making.
It
conducts
comprehensive
examination
business
processes
and
decisions
encapsulated
within
this
framework.
The
research
begins
by
pinpointing
challenges
inherent
in
scheduling.
Subsequently,
it
introduces
genetic
algorithm
tailored
agent-based
decision-making
context
delineates
its
algorithmic
parameters.
effectiveness
approach
is
validated
through
series
simulation
experiments
focused
on
case
from
an
agent-oriented
perspective.
findings
indicate
that
implementing
structure
algorithms
scenario
involving
ten
workpieces
machines
(10×10)
results
new
job
reach
time
30,
workshop
load
0.5338,
average
reduction
11.60%.
These
underscore
efficacy
proposed
enhancing
decision
support
scheduling,
thereby
laying
scientific
foundation
achieving
heightened
efficiency
technology.
Язык: Английский