Functional Diversity and Ecosystem Services of Birds in Productive Landscapes of the Colombian Amazon
Diversity,
Journal Year:
2025,
Volume and Issue:
17(5), P. 305 - 305
Published: April 23, 2025
The
expansion
of
anthropogenic
activities
drives
changes
in
the
composition,
structure,
and
spatial
configuration
natural
landscapes,
influencing
both
taxonomic
functional
diversity
bird
communities.
This
pattern
is
evident
Colombian
Amazon,
where
agricultural
livestock
has
altered
ecological
dynamics,
avifaunal
assemblages,
provision
regulating
ecosystem
services.
study
analyzed
influence
agroforestry
(cocoa-based
systems—SAFc)
silvopastoral
systems
(SSP)
on
birds
their
potential
impact
services
eight
productive
landscape
mosaics
within
Amazon.
Each
mosaic
consisted
a
1
km2
grid,
which
seven
types
vegetation
cover
were
classified,
metrics
calculated.
Bird
communities
surveyed
through
visual
observations
mist-net
captures,
during
traits
measured.
Additionally,
guilds
assigned
to
each
species
based
literature
review.
Five
multidimensional
indices
computed,
along
with
community-weighted
means
per
guild.
A
total
218
recorded
across
land-use
systems.
richness,
abundance,
diversity—as
well
as
composition
guilds—varied
according
cover.
Functional
increased
containing
closed
patches
symmetrical
configurations.
Variations
linked
low
redundancy,
may
also
lead
differences
such
biological
pest
control
seed
dispersal—both
are
critical
for
regeneration
connectivity
rural
landscapes.
In
conclusion,
contributes
resilience
landscapes
Amazonian
systems,
highlighting
need
management
that
promotes
structural
heterogeneity
sustain
connectivity.
Language: Английский
Adaptive management of mountain ecosystems based on carbon sequestration: Based on the “state-flow-utility” framework
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
168, P. 112703 - 112703
Published: Oct. 21, 2024
Language: Английский
Deep Learning Application for Biodiversity Conservation and Educational Tourism in Natural Reserves
ISPRS International Journal of Geo-Information,
Journal Year:
2024,
Volume and Issue:
13(10), P. 358 - 358
Published: Oct. 11, 2024
Natural
reserves,
such
as
the
Santurbán
Moor
in
Colombia,
are
ecologically
important
but
face
significant
threats
from
activities
like
mining
and
agriculture.
Preserving
biodiversity
these
ecosystems
is
essential
for
maintaining
ecological
balance
promoting
sustainable
tourism
practices.
Identifying
plant
species
reserves
accurately
challenging
due
to
environmental
variability
similarities,
complicating
conservation
efforts
educational
promotion.
This
study
aims
create
assess
a
mobile
application
based
on
deep
learning,
called
FloraBan,
autonomously
identify
natural
enhancing
encouraging
The
employs
EfficientNet
Lite4
model,
trained
comprehensive
dataset
of
images
taken
various
field
conditions.
Designed
work
offline,
particularly
useful
remote
areas.
model
evaluation
revealed
an
accuracy
exceeding
90%
classifying
images.
FloraBan
was
effective
under
lighting
conditions
complex
backgrounds,
offering
detailed
information
about
each
species,
including
scientific
name,
family,
status.
ability
function
without
internet
connectivity
benefit,
especially
isolated
regions
reserves.
represents
notable
improvement
automated
identification,
supporting
botanical
research
preserve
Moor.
Additionally,
it
encourages
responsible
practices,
which
align
with
sustainability
goals,
providing
tool
both
tourists
conservationists.
Language: Английский