Computers, materials & continua/Computers, materials & continua (Print),
Journal Year:
2022,
Volume and Issue:
73(3), P. 5589 - 5607
Published: Jan. 1, 2022
The
motive
of
this
work
is
to
present
a
computational
design
using
the
stochastic
scaled
conjugate
gradient
(SCG)
neural
networks
(NNs)
called
as
SCGNNs
for
socio-ecological
dynamics
(SED)
with
reef
ecosystems
and
conservation
estimation.
mathematical
descriptions
SED
model
are
provided
that
dependent
upon
five
categories,
macroalgae
M(v),
breathing
coral
C(v),
algal
turf
T(v),
density
parrotfish
P(v)
opinion
human
X(v).
process
applied
formulate
based
on
sample
statistics,
testing,
accreditation
training.
Three
different
variations
have
been
authenticate
performance
through
statics
training,
accreditation,
testing
77%,
12%
11%,
respectively.
obtained
numerical
performances
compared
Runge-Kutta
approach
solve
model.
reduction
mean
square
error
(MSE)
used
investigate
measures
solving
precision
validated
comparison
results
absolute
performances.
reliability
performed
by
correlation
values,
state
transitions
(STs),
histograms
(EHs),
MSE
regression
analysis.
Revista Ciencias Marinas y Costeras,
Journal Year:
2020,
Volume and Issue:
unknown, P. 9 - 26
Published: Feb. 21, 2020
Los
arrecifes
coralinos
constituyen
uno
de
los
ecosistemas
más
amenazados
por
efectos
la
actividad
antrópica
y
el
cambio
climático,
impactos
a
cuales
no
escapan
del
Mar
Caribe.
El
objetivo
investigación
fue
evaluación
calidad
agua
aledaña
golfo
Cazones,
S
Cuba,
partir
algunos
indicadores
microbiológicos
químicos.
Se
realizaron
dos
muestreos
en
épocas
contrastantes,
noviembre
2015
(invierno)
abril
2017
(verano),
donde
se
tomaron
13
muestras
(cinco
las
crestas
ocho
frontales).
vulnerables,
tomando
consideración
seleccionados
químicos
aguas,
fueron
Sureste
cayo
Diego
Pérez
2
(SE-Cy.DP2),
1
(SE-Cy.DP1)
Sur
ensenada
Cazones
(S-EC)
(Nirvana),
al
presentar
elevadas
concentraciones
bacterias
heterótrofas,
sulfato-reductoras,
vibrios
materia
orgánica
(DQO).
De
acuerdo
con
concentración
estado
trófico
aguas
varió
entre
mesotróficas
meso-eutróficas
oeste
(O-EC),
seguido
este
(E-EC)
sur
lo
que
indica
aledañas
esos
mantienen
enriquecidas
orgánica,
tanto
como
frontales.
resultados
obtenidos
deben
servir
alerta,
ya
existen
condiciones
para
deterioro
paulatino
arrecifes.
Conservation
of
natural
habitats
in
human-dominated
landscapes
is
critical
for
halting
biodiversity
loss.
Maintaining
habitat
quantity
and
connectivity
requires
landscape-level
collective
action,
which
results
from
environmental
decisions
made
by
individual
land
owners.
We
investigate
how
decision
making
a
rural
translates
into
quantitative
differences
outcomes.
Behavioral
science
has
become
domain
knowledge
conservation,
but
little
attention
been
paid
to
multiple
behavioral
drivers
determine
the
success
action.
developed
social-ecological
model
conservation
using
detailed
data
set
600
owners
New
Zealand.
With
model,
we
tested
whether
effect
social
influence
networks
on
action
was
altered
their
interplay
with
owners’
personal
characteristics,
connections
cross-scale
actors
local
contexts.
Interactions
between
determined
outcomes
unexpected
ways
modifying,
muting
or
amplifying
effects
single
drivers.
Importantly,
detected
mechanism
rapid
change
extent
protected
habitats,
can
explain
highly
successful
failed
conservation.
Further,
when
environmentally
desirable
undesirable
behaviors
spread
simultaneously
through
network,
homophily
network
cohesion
hinder
This
be
modified
other
such
as
responses
change.
Thus,
understanding
antagonistic
synergistic
best
utilized
will
benefit
ensure
benefits
that
humans
obtain
biodiversity.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: March 25, 2022
Abstract
Coral
reefs
are
facing
a
constant
barrage
of
human
impacts,
including
eutrophication,
overharvesting
and
climate
change.
While
the
local
effects
have
been
well-studied,
regional
nutrient
loading
from
anthropogenic
activities
on
land
global
change-induced
disturbances
increasing
in
magnitude
necessitating
cross-scale
multi-stressor
approaches
for
coral
reef
ecology.
Here,
we
expand
longstanding
theory
to
develop
an
integrated
framework
reefs.
We
show
that:
i)
geometry
simple,
empirically-motivated
model
suggests
nutrients
harvesting
can
operate
similarly,
synergistically,
driving
shifts
coral-
algae-dominated
reefs,
resulting
clear
context-dependent
management
implications;
ii)
this
same
climate-driven
mortality
drive
presence
long
transients
alternate
states,
even
moderately-impacted
ecosystems.
Reefs
seemingly
“safe
space”
based
individual
stressors
may
fact
be
much
more
susceptible
increasingly
frequent
storms
bleaching
events
conditions.
By
integrating
these
findings
with
general
ecological
theoretical
concepts,
suggest
that
responses
benthic
composition
act
as
“signatures
change”
multi-stressors,
allowing
us
predictive
generalizable
under
In
line
theory,
detail
empirical
evidence
Barbados
historical
changes
impacts
within
our
framework.
bridging
ecology
better
understand
ecosystem
functioning
resilience
important
yet
highly
threatened
systems.
Manuscript
Highlights
Theoretical
understanding
synergistic
Unexpected
related
predicts
dominant
stressor
Computers, materials & continua/Computers, materials & continua (Print),
Journal Year:
2022,
Volume and Issue:
73(3), P. 5589 - 5607
Published: Jan. 1, 2022
The
motive
of
this
work
is
to
present
a
computational
design
using
the
stochastic
scaled
conjugate
gradient
(SCG)
neural
networks
(NNs)
called
as
SCGNNs
for
socio-ecological
dynamics
(SED)
with
reef
ecosystems
and
conservation
estimation.
mathematical
descriptions
SED
model
are
provided
that
dependent
upon
five
categories,
macroalgae
M(v),
breathing
coral
C(v),
algal
turf
T(v),
density
parrotfish
P(v)
opinion
human
X(v).
process
applied
formulate
based
on
sample
statistics,
testing,
accreditation
training.
Three
different
variations
have
been
authenticate
performance
through
statics
training,
accreditation,
testing
77%,
12%
11%,
respectively.
obtained
numerical
performances
compared
Runge-Kutta
approach
solve
model.
reduction
mean
square
error
(MSE)
used
investigate
measures
solving
precision
validated
comparison
results
absolute
performances.
reliability
performed
by
correlation
values,
state
transitions
(STs),
histograms
(EHs),
MSE
regression
analysis.
