Insufficient pollinator visitation often limits yield in crop systems worldwide
Nature Ecology & Evolution,
Journal Year:
2024,
Volume and Issue:
8(9), P. 1612 - 1622
Published: July 3, 2024
Language: Английский
Multi‐Scale Factors Promote Entomophilous Pollination: Productive Blueberry Agroecosystems as a Study Model
Journal of Applied Entomology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 21, 2025
ABSTRACT
Blueberry
cultivation
requires
insect‐mediated
pollination
for
optimal
fruit
formation.
Studies
have
shown
that
improving
the
efficiency
of
pollen
exchange
during
flowering
increases
both
quantity
and
quality
fruit.
flowers
a
unique
anther
structure
facilitates
release
through
specialised
interaction
called
‘buzz
pollination’,
which
is
performed
by
wild
bee
species
rather
than
Apis
mellifera
.
The
study
aims
to
assess
effects
management,
weed
landscape
heterogeneity
on
pollinator
communities,
their
with
crop
blueberry
set.
Nine
plots
were
studied
investigate
influence
including
Bombus
pauloensis
hives,
presence
inter‐row
vegetation,
abundance,
richness,
visitation
rate,
production.
Generalised
linear
mixed
models
(GLMM)
used
analyse
relationship
between
these
factors.
No
significant
differences
in
formation
found
receiving
services
from
those
combination
A.
+
B.
hives.
However,
vegetation
had
positive
effect
abundance
rate
flowers.
increase
cultivated
areas
negative
managed
native
pollinators.
Conversely,
more
diverse
landscapes
within
plots.
These
findings
suggest
importance
implementing
pollinator‐friendly
management
practices,
carefully
assessing
honeybee
densities,
managing
resources
at
local
scales
enhance
Language: Английский
Global relationships between crop yield and pollinator abundance
Journal of Applied Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Abstract
Pollinators
are
estimated
to
benefit
the
reproduction
of
three‐quarters
global
leading
crop
species
and
contribute
3%–8%
total
food
production.
Ongoing
declines
in
pollinator
populations
have
raised
concerns
about
repercussions
for
security.
Thus,
there
is
a
need
better
understand
how
agricultural
yields
depend
on
abundance.
Here,
we
established
yield–pollinator
relationships
24
crops,
capitalizing
recently
published
database
with
paired
records
yield
We
used
linear
mixed‐effects
modelling
relate
relative
abundance,
accounting
differences
climate
farming
practices.
Overall,
found
positive
relationship
between
which
was
modified
by
management
practice
zone.
At
given
were
significantly
higher
conventional
than
organic
farms,
while
temperate
regions
those
tropical
regions.
In
addition,
abundance
21
out
species,
indicating
that
variability
numbers
across
fields
has
consequences
pollination.
Synthesis
applications
.
Our
context‐specific
relationships,
based
best
available
data
date,
represent
key
step
towards
quantitative
models
assessing
degree
pollination
sufficiency
worldwide.
believe
this
will
increase
robustness
model
outputs
inform
transition
pollinator‐friendly
Language: Английский
Comment on “Pollination supply models from a local to global scale”: convolutional neural networks can improve pollination supply models at a global scale
Web Ecology,
Journal Year:
2024,
Volume and Issue:
24(2), P. 81 - 96
Published: Nov. 21, 2024
Abstract.
Tools
to
predict
pollinator
activity
at
regional
scales
generally
rely
on
land
cover
maps,
combined
with
human-inferred
mechanistic
rules
and/or
expert
knowledge.
Recently,
Giménez-García
et
al.
(2023)
showed
that,
using
large
datasets,
different
environmental
variables,
and
machine
learning
models,
those
predictions
can
be
enhanced
but
the
cost
of
losing
model
interpretability.
Here,
we
complement
this
work
by
exploring
potential
advanced
techniques
directly
infer
wild-bee
visitation
rates
across
biomes
only
from
maps
available
data
while
maintaining
a
interpretation.
In
particular,
assess
ability
convolutional
neural
networks
(CNNs),
which
are
deep
able
habitat
use.
At
global
scale,
our
CNNs
achieved
rank
correlation
coefficient
0.44
between
observations
rates,
doubling
that
previous
models
presented
in
(0.17).
Most
interestingly,
show
depend
both
landscape
composition
configuration
prediction
being
more
complex
than
traditional
processes.
We
also
demonstrate
how
improve
data-driven
did
not
use
creating
new
CNN
best
regression
based
Bayesian
ridge
regressor.
This
ensemble
improved
overall
0.56
0.64.
Language: Английский
Plataformas de modelado de servicios ecosistémicos: El norte de la Patagonia como un ejemplo de caso aplicando k.LAB
Ecología Austral,
Journal Year:
2023,
Volume and Issue:
33(3), P. 894 - 908
Published: Nov. 15, 2023
Los
avances
tecnológicos
y
metodológicos
de
las
últimas
décadas
(e.g.,
información
satelital,
potencia
los
ordenadores,
análisis
geoespacial,
desarrollo
algoritmos)
facilitaron
buscar
soluciones
a
problemas
complejos
como
el
cambio
global.
Estos
permitieron
que
surjan
plataformas
informáticas
para
modelar
servicios
ecosistémicos,
cuantifican
beneficios
la
naturaleza
evalúan
cómo
son
o
serán
afectados
por
acciones
humanas.
Actualmente,
existen
variadas
con
diferentes
grados
aptitud
según
contexto,
destacándose
k.LAB
ser
gratuita,
código
abierto
presentar
un
enfoque
ciencia
colaborativa,
además
integrar
técnicas
modelado
inteligencia
artificial.
es
muy
versátil
responder
demandas
usos,
desde
programar
SE
hasta
tomar
decisiones.
Sin
embargo,
quienes
mapean
SE,
especialmente
en
Latinoamérica,
tienen
escaso
conocimiento
k.LAB;
esto
dificulta
aprovechar
su
potencial,
tal
sucedió
herramientas
acceso
libre
adopción
R
requirió
tiempo,
revisiones,
discusiones
materiales
didácticos
revistas
especializadas).
Este
trabajo
presenta
capacidades
contexto
SE.
Primero,
introducimos
estas
términos
generales,
énfasis
más
usadas.
Luego,
caracterizamos
técnica
filosóficamente.
Después,
presentamos
caso
estudio
norte
Patagonia
argentina,
ilustrando
obtención
mapas
tres
(captura
carbono,
polinización
recreación
al
aire
libre)
utilizando
aplicaciones
dirigidas
personas
sin
experiencia
programación.
Finalmente,
establecemos
características
deseables
discutir
ventajas
limitaciones
relación
otras
alternativas.
Esperamos
brindar
marco
general
útil
ampliar
conjunto
abordar
problemáticas
vinculadas
global
Argentina
otros
países
región.