Scientific African,
Journal Year:
2024,
Volume and Issue:
25, P. e02271 - e02271
Published: June 5, 2024
Globally,
bushfire
is
increasingly
being
recognized
as
a
critical
threat
to
human
survival.
Situating
climate
change
and
man-caused
risks
within
sustainable
development
engendering
appropriate
mitigation
strategies.
This
paper
therefore
reviewed
on
Nigeria's
Sustainable
Development
Goals
(SDGs),
institutional
policy
frameworks
for
their
reduction.
A
total
of
64
materials
which
essentially
fall
7
years
period
(2017-2023),
were
sourced
online
from
Google,
ResearchGate
ScienceDirect
repositories.
Journal
articles
represented
71%
the
analyzed
based
framework.
The
study
adopted
narrative
approach
in
reporting
findings
study.
Findings
reveal
that
change,
especially
increasing
atmospheric
temperature,
recurring
episodes
droughts,
dry
spells
seasonal
alterations
coupled
with
multiplicity
anthropogenic
actions
are
intensifying
risks.
Although
ecological
zone-ubiquitous
country,
its
magnitude
appears
be
higher
Rainforest
Guinea
Savanna
due
relative
abundance
ignitable
biomes.
Broadly,
Nigeria
encompass
poverty
(SDG
1),
destruction
farms
2),
health
wellbeing
3),
gender
inequality
5)
water
pollution
6)
biofuel
resources
7).
Other
include
threats
economic
growth
8),
responsible
consumption
production
12)
peace
16)
well
factor
air
GHGs
emissions
13)
alteration
soil
loss
biodiversity
15).
Considering
extensive
number
goals
at
risk
impact
an
SDG
capable
upsetting
other
SDGs,
we
argue
it
poses
significant
realization
several
SDGs.
Increasing
budgetary
allocation
fire
agencies,
synergy
among
stakeholders,
environment-friendly
behaviour,
enforcement
fire-related
laws,
establishment
rural
communities-based
watches,
climate-friendly
strategies
fire-risks
insurance
schemes
recommended
workable
measures
can
by
policymakers
stakeholders
toward
holistic
tackling
bushfire-related
Nigeria.
Nature Climate Change,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 3, 2025
Abstract
Coastal
ecosystems
provide
a
range
of
services
including
erosion
prevention,
clean
water
provision
and
carbon
sequestration.
With
climate
change,
the
rapid
change
in
frequency
intensity
tropical
cyclones
may
alter
composition
themselves
potentially
degrading
they
provide.
Here
we
classify
global
ecoregions
into
dependent,
resilient
vulnerable
show
that
combined
9.4%
surface
all
terrestrial
is
susceptible
to
transformation
due
cyclone
pattern
changes
between
1980–2017
2015–2050
under
scenario
SSP5-8.5
using
STORM
model.
Even
for
most
already
experiencing
winds
>60
m
s
−1
regularly,
average
interval
two
storms
projected
decrease
from
19
12
years
which
close
their
recovery
time.
Our
study
advocates
shift
consideration
impact
immediate
damage
effects
on
long-term
natural
cycles.
Energy Economics,
Journal Year:
2024,
Volume and Issue:
138, P. 107727 - 107727
Published: July 14, 2024
This
study
delves
into
the
complex
interplay
of
climate
change,
natural
disasters,
energy
consumption,
and
carbon
emissions
across
111
countries
from
1990
to
2019.
A
structural
shift
in
2004
signifies
altered
global
dynamics
CO2
emissions,
closely
linked
escalation
meteorological
hydrological
disasters
driven
by
change.
Globally,
we
illuminate
significant
impact
climate-induced
especially
storms
extreme
temperatures,
on
consumption
albeit
with
variations.
Regionally,
establish
a
notable
positive
association
between
temperature-related
both
Europe.
Examining
aftermath
catastrophic
events
reveals
an
intensified
influence
these
Africa,
Latin
America,
Developed
economies
experience
impacts
while
flood
severity
predominantly
affects
developing
countries.
Additionally,
explore
potential
green
patents
mitigating
triggered
disasters.
While
not
conclusively
proven,
statistically
conservation
holds
profound
policy
implications
for
advancing
understanding,
transforming
landscapes,
addressing
future
sustainability
concerns.
Wissen Editora eBooks,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
APRESENTAÇÃO
A
Ecologia
e
a
Sustentabilidade
desvendam
as
diversas
relações
entre
os
seres
vivos
o
ambiente,
fundamentais
para
entender
biodiversidade
do
planeta
interação
dos
com
outros
organismos
seu
habitat.
Através
disso,
exploramos
evolução
das
espécies
sua
adaptação
às
condições
ambientais,
além
de
estabelecermos
medidas
conservação
ambiente.
Nesta
obra
intitulada
'Pesquisas
em
Sustentabilidade',
abordamos
estudos
variados
que
transitam
biodiversidade,
distribuições
espécies,
práticas
conservação,
educação
ambiental,
sensoriamento
remoto,
dentre
outros.
No
Capítulo
1
-
CONSCIÊNCIA
AMBIENTAL
E
PRÁTICAS
SUSTENTÁVEIS:
UM
ESTUDO
COM
AGRICULTORES
FAMILIARES
NA
REGIÃO
SEMIÁRIDA
objetivo
foi
percepção
ambiental
agricultores
familiares
inseridos
nas
vulnerabilidades
da
região
semiárida,
frente
produção
agrícola
geração
renda,
utilizando
observações,
entrevistas
semiestruturadas,
fotografias
elaboração
diário
campo
composto
anotações.
2
EDUCAÇÃO
AMBIENTAL:
PERCEPÇÃO
SOBRE
RECICLAGEM
DESCARTE
DE
RESÍDUOS
EM
ESCOLAS
DO
RIO
JANEIRO
–
buscou-se
investigar
analisar
como
reciclagem
descarte
resíduos
são
abordados
turmas
Ensino
Fundamental
II,
escolas
Rio
Janeiro,
RJ.
O
3
OS
DANOS
CAUSADO
POR
CONTAMINANTES
EMERGENTES
BIODIVERSIDADE
AQUÁTICA,
visou
trazer
contaminantes
emergentes
já
comprovadamente
podem
causar
danos
na
aquática,
partir
dados
oriundos
pesquisas
publicadas.
4
IMPACTOS
DOS
MICROPLÁSTICOS
NOS
ORGANISMOS
AQUÁTICOS:
UMA
REVISÃO
teve
principal
verificar
levantamento
bibliográfico
presença
microplásticos
afetam
aquáticos,
função
ausência
sobre
tal
problemática.
5
AR
QUE
RESPIRAMOS:
ESTUDOS
Tradescantia
pallida
(ROSE)
D.R.
HUNT.
(COMMELINACEAE)
MUNICÍPIOS
MATO
GROSSO
SUL
apresentou
propósito
identificar
municípios
Mato
Grosso
Sul
foram
submetidos
ao
biomonitoramento
nos
últimos
anos,
empregando
indicador
biológico
qualidade
ar.
6
MERCADO
CRÉDITO
CARBONO
TANGÊNCIAS
AS
CIÊNCIAS
AMBIENTAIS
destacar
papel
Direito
Ambiental
temática
crédito
carbono
utilização
transformação
realidade
emissões
gases
efeito
estufa
(GEE).
7
DISTRIBUIÇÃO
ESPÉCIES
DIFERENTES
ROTAS
FOTOSSINTÉTICAS
FUNÇÃO
FOCOS
CALOR
NO
ESTADO
PIAUÍ
buscou
relação
distribuição
seis
herbáceas
focos
calor
no
estado
Piauí
2020
2023,
intuito
tendência
ocupação
plantas
C4
regiões
mais
suscetíveis
queimadas.
8
EXPLORANDO
ATRAÇÃO
ABELHAS
FLORES
Tropaeolum
majus
L.
(BRASSICALES:
TROPAEOLACEAE)
MEIO
DA
ANÁLISE
ESPECTROFOTOMÉTRICA
aplicar
espectroscopia
fluorescência
óptica
estudar
abundância
abelhas
T.
majus,
respondendo
seguintes
questões:
(1)
cor
flor
corola
interfere
visitantes?
(2)
flores
vermelhas
atraem
9
CONSÓRCIO
PLANTAS
AROMÁTICAS
CENOURA
(Daucus
carota
L.)
COMO
ESTRATÉGIA
PARA
MANEJO
PRAGAS
AGRÍCOLAS
avaliar
introdução
aromáticas
manjericão
(Ocimum
basilicum
coentro
(Coriandrum
sativum
cultivo
cenoura
incidência
artrópodes-pragas
atratividade
insetos
predadores
nessa
cultura.
10-
ASSEMBLEIA
PEIXES
ENTRE
RIACHOS
BACIA
PARANAPANEMA
comparar
estrutura
assembleia
peixes
ambientais
riachos
rurais
urbanos
Ourinhos-SP
Jacarezinho-PR
11
USO
SENSORIAMENTO
REMOTO
AVALIAÇÃO
OCUPAÇÃO
SOLOS
QUIXERAMOBIM
CE
realizar
uma
análise
temporal
uso
solos
município
Quixeramobim
CE.
12
POTENCIALIDADES
GEOPROCESSAMENTO
MARANHÃO
PLANEJAMENTO
SUSTENTÁVEL,
ESCOPO
objetivou-se
geoprocessamento
tem
sido
utilizado
Maranhão
ferramenta
valiosa
auxiliar
gestão
planejamento
visando
um
desenvolvimento
preserve
nossa
rica
diversidade
natural
assegure
futuro
sustentável.
Nesse
sentido,
este
livro,
"Pesquisas
Sustentabilidade",
contempla
abrangentes,
detalhada
temas
diversos
sendo
fonte
conhecimento
inspiração,
conduzindo
cada
leitor
jornada
descobertas
reflexões
importância
vital
meio
contribuindo
mundo
equilibrado
saudável.
Denise
Santos
Vila
Verde
Fire,
Journal Year:
2024,
Volume and Issue:
7(2), P. 58 - 58
Published: Feb. 17, 2024
Vegetation
classification,
biomass
assessment,
and
wildfire
dynamics
are
interconnected
wildfire-ecosystem
components.
The
Chongli
District,
located
in
Zhangjiakou
City,
was
the
venue
for
skiing
at
2022
Winter
Olympics.
Its
high
mountains
dense
forests
create
a
unique
environment.
establishment
of
alpine
ski
resorts
highlighted
importance
comprehensive
forest
surveys.
Understanding
vegetation
types
their
is
critical
to
assessing
distribution
local
resources
predicting
likelihood
fires.
This
study
used
satellite
multispectral
data
from
Sentinel-2B
classify
surface
District
through
K-means
clustering.
By
combining
this
classification
with
inversion
model,
total
survey
area
can
be
calculated.
equation
established
based
on
remote
sensing
terrain
information
have
strong
correlation
(shrub
R2
=
0.811,
broadleaf
0.356,
coniferous
0.223).
These
coefficients
key
indicators
our
understanding
relationship
between
actual
biomass,
reflecting
performance
model.
Taking
shrubland
as
an
example,
coefficient
0.811
shows
model’s
ability
accurately
predict
type
vegetation.
In
addition,
multiple
linear
regression,
optimal
shrub,
broadleaf,
models
were
obtained,
overall
accuracy
reaching
93.58%,
89.56%,
97.53%,
respectively,
meeting
strict
requirements
accuracy.
successfully
conducted
using
data.
research
results
important
implications
prevention
control
Natural Hazards,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 29, 2024
Abstract
The
increasing
frequency
and
intensity
of
wildfires
necessitate
effective
risk
management
in
biodiversity
hotspots
to
mitigate
the
potential
impacts
wildfire
hazards.
study
utilised
a
multi-criteria
decision
analysis-analytic
hierarchy
process
(MCDA-AHP)
model
analyse
patterns
Garden
Route
District
(GRD),
focusing
on
Western
Cape,
South
Africa.
used
weight
assignment
overlay
analysis
evaluate
factors,
including
human,
topographic,
climatic
using
data
from
Landsat
WorldClim
1991
2021.
was
validated
MODIS
historical
fire
Global
Forest
Watch
database
Confusion
Matrix,
with
burned
area
extent
identified
differenced
Normalized
Burn
Ratio
(dNBR).
results
show
that
despite
53%
most
area,
only
12%
burned,
high-risk
zone
accounting
for
11%,
indicating
higher
likelihood
spreading
intensifying.
reveal
weak
positive
correlation
(r
=
0.28)
between
occurrences
areas
negative
−
0.27)
seasons.
Human
factors
significantly
impact
propagation
zones,
while
topographic
have
less
influence,
lower
ignition.
findings
26%
zones
southwestern
region
dominated
GRD
hotspots,
27%
were
low-moderate-risk
northwestern
parts.
this
can
aid
assigning
risk-based
criterion
weights
support
decision-makers
regional
global
prevention
management.
Geomatics Natural Hazards and Risk,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Jan. 2, 2025
Forest
fire
susceptibility
mapping
plays
a
crucial
role
in
forest
management
and
disaster
prevention.
However,
existing
research
often
neglects
the
selection
of
non-fire
data
during
model
construction,
resulting
limited
prediction
accuracy.
To
address
this
issue,
we
propose
an
innovative
DBSCAN-DNN
that
optimizes
to
enhance
precision.
Using
VIIRS
GLC_FCS30D
datasets,
created
spatial
database
for
Xichang's
dry
seasons
from
2012
2022,
incorporating
topography,
meteorology,
vegetation,
human
activities.
Based
on
this,
employed
DBSCAN
algorithm
cluster
points
accurately
delineated
affected
areas.
Subsequently,
selected
samples
outside
these
regions
training
DNN
model.
Through
comparative
experiments,
found
exhibited
excellent
performance
predicting
Xichang
City,
with
AUC
value
0.925
significant
improvements
accuracy
(0.834),
precision
(0.800),
recall
(0.891),
F1-score
(0.843),
Kappa
coefficient
(0.669).
Additionally,
conducted
SHAP
analysis
delve
into
contributions
interactions
various
factors
influencing
susceptibility.
This
finding
offers
valuable
insights
selecting
sample
Forests,
Journal Year:
2025,
Volume and Issue:
16(2), P. 330 - 330
Published: Feb. 13, 2025
Consistent
and
accurate
data
on
forest
biomass
carbon
dynamics
are
essential
for
optimizing
sequestration,
advancing
sustainable
management,
developing
natural
climate
solutions
in
various
ecosystems.
This
study
quantifies
the
designated
forests
based
GEDI
LiDAR
datasets
with
a
unique
compartment-level
monitoring
of
unexplored
hilly
areas
Mansehra.
The
integration
multisource
explanatory
variables,
employing
machine
learning
models,
adds
further
innovation
to
reliable
above
ground
(AGB)
estimation.
Integrating
Landsat-9
vegetation
indices
ancillary
improved
estimation,
random
algorithm
yielding
best
performance
(R2
=
0.86,
RMSE
28.03
Mg/ha,
MAE
19.54
Mg/ha).
Validation
field
point-to-point
basis
estimated
mean
above-ground
224.61
closely
aligning
measurement
208.13
Mg/ha
0.71).
overall
AGB
model
189.42
moist
temperate
area.
A
critical
deficit
sequestration
potential
was
analysed,
2022,
at
19.94
thousand
tons,
0.83
tons
nullify
CO2
emissions
(20.77
tons).
proposes
estimation
reliability
offers
insights
into
potential,
suggesting
policy
shift
decision-making
change
mitigation
policies.