Methods in Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 23, 2024
Abstract
Spatial
conservation
prioritization
is
traditionally
focusing
on
ensuring
the
representation
of
species
populations
and
habitats
within
protected
areas.
Recently
there
has
been
an
increased
interest
in
incorporating
connectivity
into
planning,
with
higher
priority
given
to
areas
exhibiting
strong
ecological
linkages.
We
introduce
three
metrics
(s‐core,
Louvain
clustering,
walktrap
clustering)
that
allow
us
improve
spatial
process
by
protecting
present
high
values.
Instead
prioritizing
unique
planning
units
(PUs),
these
we
manage
identify
clusters
PUs
collectively
exhibit
This
way
account
for
properties
structure
(i.e.
densely
connected
sites)
final
detection
interest.
evaluated
efficacy
safeguarding
connectivity.
The
proposed
result
up
25%
values
compared
scenario
which
no
are
used.
results
were
obtained
from
other
classic
graph‐theoretic
centrality
(degree,
betweenness
centrality,
Eigenvector
page
rank)
highlighting
their
potential
enhance
performance
across
various
contexts.
can
utilize
existing
data,
such
as
edge
lists,
application
be
tailored
address
diverse
priorities.
Overall,
illustrating
clustering
datasets,
new
approaches
integration
prioritization.
Oikos,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 5, 2025
The
propagation
of
metacommunity
processes
through
local
trophic
interactions
has
seldom
been
explored,
particularly
in
empirical
studies.
This
study
examines
how
environmental
conditions
and
connectivity
influence
community
assembly
food
web
structure
pondscapes.
We
survey
taxonomic
richness,
abundance
isotopic
niches
across
multiple
assemblage,
including
zooplankton,
macroinvertebrates,
tadpoles,
turtles
fish.
A
gradient
the
composition
pond
representing
dominance
fish
or
other
taxa
another
associated
with
macroinvertebrate
diversity
were
evidenced.
Pond
size
promoted
richness
abundance,
main
path
which
cascade
down
within
communities,
determining
whole
system.
was
large
chains,
a
reduction
both
width
spacing.
Local
such
as
macrophyte
coverage
modulate
strength
these
effects,
representation
macroinvertebrates
amphibians.
Consequently,
effects
on
may
result
consequence
isolation's
top
predators'
performance,
rather
than
by
direct
effect
dispersal
different
species,
is
usually
assumed.
Metacommunity
theory
highlighted
species
performance
diversity.
Our
highlights
indirect
landscape
mediated
keystone
connect
more
previously
thought.
Ecology Letters,
Journal Year:
2025,
Volume and Issue:
28(2)
Published: Feb. 1, 2025
ABSTRACT
Human
activities
have
caused
significant
changes
in
animal
abundance,
interactions,
movement
and
diversity
at
multiple
scales.
Growing
empirical
evidence
reveals
the
myriad
ways
that
these
can
alter
control
animals
exert
over
biogeochemical
cycling.
Yet
a
theoretical
framework
to
coherently
integrate
predict
when
how
controls
cycling
(i.e.,
zoogeochemistry)
change
is
currently
lacking.
We
present
such
general
provides
guidance
on
linking
mathematical
models
of
species
interaction
(network
theory)
organisms
non‐living
materials
(meta‐ecosystem
account
for
biotic
abiotic
feedback
by
which
illustrate
apply
develop
predictive
specific
ecosystem
contexts
using
case
study
primary
producer–herbivore
bipartite
trait
network
boreal
forest
ecosystem.
further
discuss
key
priorities
enhancing
model
development,
data–model
integration
application.
The
offers
an
important
step
enhance
research
better
inform
justify
broader
conservation
efforts
aimed
conserving
restoring
populations,
their
critical
functional
roles
support
services
nature‐based
climate
solutions.
Journal of Animal Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 24, 2025
Dispersal
patterns
are
recognized
as
determinants
of
biodiversity
structure,
particularly
in
rivers,
where
dendritic
organization,
waterflow
direction,
large
distance
immigrants
from
the
outlet
and
fragmentation
by
dams
combine
to
produce
a
complex
dispersal
scenario.
Unravelling
role,
magnitude
spatial
scale
at
which
these
sources
determine
metacommunity
diversity
is
challenging
requires
amount
spatiotemporal
information,
rarely
available.
Here,
we
incorporate
alternative
hypotheses
into
models,
contrasting
their
predictions
with
observed
pattern
fish
(58
sampled
sites)
Negro
River
basin
Uruguay.
Evidence
supports:
(i)
constrained
river
network,
sharply
decaying
upstream
but
not
downstream
directions;
(ii)
an
source
individuals
that
affects
even
distant
communities;
(iii)
nonconclusive
effect
dams,
models
or
without
dam
barriers
similarly
supported.
Observed
alpha
beta
were
well
predicted
model
(r
=
0.55
r
0.56,
respectively).
Variation
among
simulations
systematically
decreased
headwaters
outlet,
evidencing
poorly
change
processes
stochasticity
along
landscape.
Even
considering
well-recognized
role
local
filters
assembly
community,
mechanisms
able
explain
riverscape
diversity.
made
several
operating
different
scales,
more
than
arrival
species
pool
exchanges
between
neighbouring
communities
only.
The
non-conclusive
might
stem
long
time
lag
biotic
relaxation
following
fragmentation.
Massive
rivers
challenges
preservation
functioning
due
disruptions
processes.
However,
demonstrating
actual
potential
disruption
limited
available
information
lags
involved
faunal
relaxation.
Combining
empirical
modelling
emerges
compelling
approach
for
unravelling
mechanisms.
here
evidenced
multi-scale
phenomenon,
point
be
considered
theoretical
studies
ecosystem
management.
Journal of Animal Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 13, 2025
Abstract
Borthagaray,
A.
I.,
Teixeira
de
Mello,
F.,
&
Arim,
M.
(2025).
Inferring
riverscape
dispersal
processes
from
fish
biodiversity
patterns.
Journal
of
Animal
Ecology
.
https://doi.org/10.1111/1365‐2656.70033
Dispersal
is
one
the
main
determinants
biodiversity.
Previous
studies
have
pointed
out
that
diversity
and
composition
communities
depend
not
only
on
rates,
but
also
complex
spatial
networks
formed
by
paths.
However,
going
beyond
this
observation
to
infer
a
spatially
explicit
network
for
particular
system
remains
challenge.
Borthagaray
et
al.
(2025)
combined
metacommunity
models
empirical
data
58
identify
most
likely
in
large
Negro
River
basin
(Uruguay).
They
assessed
support
alternative
combinations
parameters
(sources,
(a)symmetry,
distance
decay,
barriers).
The
best‐supported
show
disperse
asymmetrically
along
river
branches;
is,
stronger
downstream
than
upstream.
Yet,
outlet
an
important
source
upstream
dispersers,
even
at
distances.
Though
they
could
find
evidence
any
barrier
effects
dams,
might
be
due
lagged
responses
induced
fragmentation.
By
making
data,
study
showcases
elegant
way
patterns
which
advantageously
replicated
other
systems.
Ecology Letters,
Journal Year:
2025,
Volume and Issue:
28(5)
Published: May 1, 2025
ABSTRACT
Connectivity
is
widely
assumed
to
benefit
biodiversity,
but
this
has
not
been
extensively
quantified
across
multiple
taxa
and
landscapes.
Focusing
on
the
UK,
where
woodland
cover
low
(13%),
we
analysed
species
occurrence
records
from
citizen
science
for
over
800
broadleaf
woodland‐associated
invertebrate
15
taxonomic
groups
in
relation
connectivity.
Overall,
increased
connectivity
positively
affects
broadleaf‐associated
(effect
of
species,
accounting
positive
effect
cover).
The
benefits
varied
considerably
by
species:
39%
showed
a
significant
effect,
while
3%
it
was
significantly
negative.
However,
interaction
between
revealed
that,
overall,
are
only
found
Our
findings
emphasise
potential
biodiversity
maximising
when
increasing
highlight
importance
spatial
targeting
restoration
efforts,
especially
landscapes
with
cover.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 10, 2024
1
Abstract
Mechanistic
or
process-based
models
offer
great
insights
into
the
range
dynamics
of
species
facing
non-equilibrium
conditions,
such
as
climate
and
land-use
changes
invasive
species.
Their
consideration
underlying
mechanisms
relaxes
species-environment
equilibrium
assumed
by
correlative
approaches,
while
also
generating
conservation-relevant
indicators,
range-wide
abundance
time-series
migration
rates
if
demographically
explicit.
However,
computational
complexity
mechanistic
limits
their
development
applicability
to
large
spatiotemporal
extents.
We
developed
R
package
‘metaRange’
that
is
a
modular
framework
build
population-based
metabolically
constrained
models.
It
provides
function
catalogue
for
users
calculate
niche-based
suitability,
metabolic
scaling,
population
dynamics,
biotic
interactions,
kernel-based
dispersal,
which
may
include
directed
movement.
The
framework’s
modularity
enables
user
combine,
extend,
replace
these
functions,
making
it
possible
customize
model
ecology
study
system.
supports
an
unlimited
number
static
dynamic
environmental
factors
input,
including
land
use.
As
example,
we
simulated
100
virtual
in
Germany
on
km
2
resolution
over
110
years
under
realistic
fluctuations
three
scenarios:
without
competition,
with
competition
generalist-specialist
trade-off.
results
are
accordance
theoretical
expectations.
Due
population-level,
can
execute
extensive
simulation
experiments
regular
enduser
hardware
short
amount
time.
provide
detailed
technical
documentation,
both
individual
functions
well
instructions
how
set
up
different
types
structures
experimental
designs.
metaRange
simulations
multiple
interacting
high
low
demand.
believe
allows
hypotheses
testing
about
future
real-world
species,
better
support
conservation
policies
targeting
biodiversity
loss
mitigation.
Habitat
connectivity
is
integral
to
current
biodiversity
science
and
conservation
strategies.
Originally,
the
concept
stressed
role
of
individual
movements
for
landscape-scale
processes.
Connectivity
determines
whether
populations
can
survive
in
sub-optimal
patches
(i.e.,
source-sink
effects),
complete
life
cycles
relying
on
different
habitat
types
landscape
complementation),
benefit
from
supplementary
resources
distributed
over
supplementation).
Although
past
decades
have
witnessed
major
improvements
modeling,
most
approaches
yet
consider
multiplicity
that
a
species
from.
Without
doing
so,
analyses
potentially
fail
meet
one
their
fundamental
purposes:
revealing
how
complex
lead
ecological
To
bridge
this
conceptual
methodological
gap,
we
propose
include
multiple
spatial
graph
models
connectivity,
where
nodes
traditionally
represent
single
type.
Multiple
graphs
will
improve
model
related
processes,
they
are
impacted
by
land
cover
changes.
In
three
case
studies,
use
these
(i)
effects,
(ii)
supplementation,
(iii)
complementation
urban
ecosystems,
agricultural
landscapes,
amphibian
networks,
respectively.
We
show
help
addressing
crucial
challenges
(e.g.,
sprawl,
biological
control,
climate
change)
representing
more
accurately
dynamics
populations,
communities,
interactions.
A
new
version
Graphab
open-source
software
implements
proposed
approach,
thereby
extending
ecologist's
toolbox
fostering
alignment
between
ecology
theory
practice.
Landscape Ecology,
Journal Year:
2024,
Volume and Issue:
39(9)
Published: Aug. 29, 2024
Abstract
Purpose
Habitat
connectivity
is
integral
to
current
biodiversity
science
and
conservation
strategies.
Originally,
the
concept
stressed
role
of
individual
movements
for
landscape-scale
processes.
Connectivity
determines
whether
populations
can
survive
in
sub-optimal
patches
(i.e.,
source-sink
effects),
complete
life
cycles
relying
on
different
habitat
types
landscape
complementation),
benefit
from
supplementary
resources
distributed
over
supplementation).
Although
past
decades
have
witnessed
major
improvements
modeling,
most
approaches
yet
consider
multiplicity
that
a
species
from.
Without
doing
so,
analyses
potentially
fail
meet
one
their
fundamental
purposes:
revealing
how
complex
lead
ecological
Methods
To
bridge
this
conceptual
methodological
gap,
we
propose
include
multiple
spatial
graph
models
connectivity,
where
nodes
traditionally
represent
single
type.
Multiple
graphs
will
improve
model
related
processes,
they
are
impacted
by
land
cover
changes.
Results
In
three
case
studies,
use
these
(i)
effects,
(ii)
supplementation,
(iii)
complementation
urban
ecosystems,
agricultural
landscapes,
amphibian
networks,
respectively.
A
new
version
Graphab
open-source
software
implements
proposed
approach.
Conclusion
help
address
crucial
challenges
(e.g.,
sprawl,
biological
control,
climate
change)
representing
more
accurately
dynamics
populations,
communities,
interactions.
Our
approach
thereby
extends
ecologist’s
toolbox
aims
at
fostering
alignment
between
ecology
theory
practice.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 14, 2024
Abstract
Aquatic
landscapes,
or
waterscapes,
face
severe
threats
from
human
activities
propelling
their
deterioration.
Waterscape
degradation
represents
a
main
driver
of
the
current
diversity
crisis,
although
its
long-term
consequences
are
difficult
to
quantify.
In
addition,
understanding
potential
effects
waterscape
on
biodiversity
at
large
spatial
scales,
such
as
biomes
and
continents,
remains
limited.
this
work,
we
explore
trends
in
decay
response
across
Europe
provide
first
answer
these
threads.
We
reconstructed
European
based
available
satellite
data
simulated
patterns
using
coalescent
metacommunity
model
run
for
several
ecoregions
considering
nine
dispersal
abilities.
Subsequently,
generated
gradient
by
systematically
removing
percentage
habitat
recalculating
metrics.
For
each
ecoregion,
ability,
level
obtained
theoretical
gamma
value.
synthesized
captured
two
parameters:
proportional
rate
collapsing
rate,
which
respectively
inform
about
speed
loss
acceleration
progresses.
Finally,
mapped
parameters
related
them
with
ecoregion
structural
descriptors
(i.e.
geographic
location,
water
cover,
connectivity,
size).
Through
exercise,
could
identify
ecoregions’
sensitivities
continental
variation
parameters.
Connectivity
cover
emerged
primary
decay,
more
heterogeneous
generally
exhibiting
greater
resistance
degradation.
Our
study
provides
order
approximation
an
urgently
needed
information:
continental-scale
biodiversity.
This
has
improve
conservation
practices
facilitate
integration
innovative
approaches
management,
thereby
enhancing
our
posed
one
principal
freshwater
diversity.