changes
such
as
climate
and
land-use
change
that
directly
indirectly
impact
Apis
Melliferas.
Despite
numerous
investigations,
a
comprehensive
study
incorporates
both
global
local
knowledge
has
yet
to
be
conducted.
For
long
time,
researchers
have
suggested
information
should
taken
into
account
when
creating
decision
support
tools
for
managing
activities
related
natural
resources,
beekeeping.
Unlike
previous
studies,
this
research
seeks
tackle
these
questions
while
also
introducing
the
concept
of
ecosystem
service
in
modelling,
offering
fresh
perspective
on
sustainable
land
use.
To
achieve
goal,
we
combined
several
methods,
includingusing
literature
knowledge,
beekeeper
multi-source
geospatial
data.
These
data
are
employed
hierarchical
fuzzy
inference
system
unified
way.
The
proposed
approach
was
applied
Québec
region
technique
appears
reliable
effective.
validation
step
revealed
landscape
variable,
particularly
area
used
agriculture
or
grassland,
impacted
most
hive
weight
throughout
season.
In
addition,
demonstrated
meteorological
factors
rainfall
relative
humidity
strongly
correlated
beekeeping.We
showed
access
can
critical
factor
decision-making
beekeeping
industry,
thus
suggest
wild-bees
conservationists,
decision-makers,
farmers,
beekeepers,
other
stakeholders
join
collaborative
approach.
Tehnologìâ virobnictva ì pererobki produktìv tvarinnictva,
Год журнала:
2024,
Номер
2 (190), С. 109 - 121
Опубликована: Ноя. 28, 2024
Preservation
of
the
diversity
wild
honey
bees
is
complicated
by
insufficient
knowledge
about
their
distribution
and
status
in
individual
territories.
The
population
western
bee
A.
Mellifera,
which
exists
territory
Polissia
Ukraine,
an
aboriginal
subspecies
a
natural
component
fauna
these
places.
purpose
research
to
assess
current
state
this
population,
has
been
preserved
thanks
development
ancient
craft
local
residents
for
extracting
–
«bortnitsvo».
Such
beekeeping
based
on
capture
swarms
does
not
involve
selective
breeding.
Wild
are
valuable
genetic
resource
biodiversity
conservation,
as
they
important
reservoir
adaptations
that
determine
survival
wild.
results
physical
chemical
analysis
obtained
from
apiaries
beekeepers
Nature
Reserve:
diastase
29.73DN,
pH
4.9,
F/G
1.41,
HMF
6.33mg/kg,
proline
608.87mg/kg,
melissopalynological
pollen
honey,
%
(Callúna
vulgáris
35,
Potentilla
erecta
19,
Frangula
alnus
10,
Lamium
purpureum
8,
Vaccinium
myrtillus
L
5,
Sisymbrium
officinale
Quercus
robur
4,
etc.)
confirmed
its
botanical
origin
value
source
nutrients
bees.
assessment
frequency
grains
showed
absence
one
species
more
than
45%.
Only
two
defined
secondary.
This
Callúna
family
(Ericaceae)
35
(Rosaceae)
19
%.
Pollen
such
(Rhamnaceae),
(Lamiaceae),
(Ericaceae),
(Brassicaceae),
(Fagaceae),
Artemisia
(Asteraceae),
although
occupy
studied
together
total
volume
pollen,
however,
according
classification,
each
L,
with
longest
flowering
season,
remain
available
almost
throughout
collection
anemophilic
pollen-producing
tree
Fagaceae
common
forests.
Key
words:
subspecies,
beekeeping,
fresh
Revista de Investigaciones de la Facultad de Ciencias Agrarias - UNR,
Год журнала:
2023,
Номер
40, С. e029 - e029
Опубликована: Март 10, 2023
To
finish
the
PUMA
program
and
cycle
of
webinars,
was
organized
a
scientific
seminar
on
November
22nd
23rd,
2022
at
National
University
Rosario
(Argentina).
In
context
climate
change,
updated
ambitions
COP26
in
terms
reducing
greenhouse
gas
emissions
associated
European
Green
Deal,
teaching
for
produce
differently
is
more
important
than
ever.
changes
such
as
climate
and
land-use
change
that
directly
indirectly
impact
Apis
Melliferas.
Despite
numerous
investigations,
a
comprehensive
study
incorporates
both
global
local
knowledge
has
yet
to
be
conducted.
For
long
time,
researchers
have
suggested
information
should
taken
into
account
when
creating
decision
support
tools
for
managing
activities
related
natural
resources,
beekeeping.
Unlike
previous
studies,
this
research
seeks
tackle
these
questions
while
also
introducing
the
concept
of
ecosystem
service
in
modelling,
offering
fresh
perspective
on
sustainable
land
use.
To
achieve
goal,
we
combined
several
methods,
includingusing
literature
knowledge,
beekeeper
multi-source
geospatial
data.
These
data
are
employed
hierarchical
fuzzy
inference
system
unified
way.
The
proposed
approach
was
applied
Québec
region
technique
appears
reliable
effective.
validation
step
revealed
landscape
variable,
particularly
area
used
agriculture
or
grassland,
impacted
most
hive
weight
throughout
season.
In
addition,
demonstrated
meteorological
factors
rainfall
relative
humidity
strongly
correlated
beekeeping.We
showed
access
can
critical
factor
decision-making
beekeeping
industry,
thus
suggest
wild-bees
conservationists,
decision-makers,
farmers,
beekeepers,
other
stakeholders
join
collaborative
approach.
