Landscape and Urban Planning,
Год журнала:
2023,
Номер
240, С. 104902 - 104902
Опубликована: Сен. 26, 2023
Although
the
beneficial
effects
of
urban
greenspace
on
mental
health
are
widely
accepted,
comparative
public
and
private
(domestic)
gardens
poorly
understood.
Here,
an
assessment
is
provided
effect
local
a
person's
for
those
with
without
garden
in
Britain.
Individual
level
data
ownership
status
obtained
from
nationally
representative
survey
(the
British
Household
Panel
Survey).
A
combination
statistical
matching
regression
models
used
to
account
individual
area-level
confounders
test
interactions.
Individuals
(n
=
4,454)
338)
analysed
separately
their
predicted
probability
poor
response
presence
compared.
Results
show
that
positive
having
varies
depending
gender
age.
Specifically,
substantially
reduces
maximum
men
regardless
access
greenspace.
Whereas,
women,
results
comparable
garden.
Women
greenspace,
later
life.
Given
results,
it
recommended
provision
considered
within
guidance
policy,
which
currently
dominated
by
of,
or
to,
greenspaces.
Environmental Evidence,
Год журнала:
2023,
Номер
12(1)
Опубликована: Апрель 24, 2023
Meta-analysis
is
a
quantitative
way
of
synthesizing
results
from
multiple
studies
to
obtain
reliable
evidence
an
intervention
or
phenomenon.
Indeed,
increasing
number
meta-analyses
are
conducted
in
environmental
sciences,
and
resulting
meta-analytic
often
used
policies
decision-making.
We
survey
recent
sciences
found
poor
standards
current
practice
reporting.
For
example,
only
~
40%
the
73
reviewed
reported
heterogeneity
(variation
among
effect
sizes
beyond
sampling
error),
publication
bias
was
assessed
fewer
than
half.
Furthermore,
although
almost
all
had
originating
same
studies,
non-independence
considered
half
meta-analyses.
To
improve
implementation
meta-analysis
we
here
outline
practical
guidance
for
conducting
sciences.
describe
key
concepts
size
detail
procedures
fitting
multilevel
meta-regression
models
performing
associated
tests.
demonstrate
clear
need
scientists
embrace
models,
which
explicitly
model
dependence
sizes,
rather
commonly
random-effects
models.
Further,
discuss
how
reporting
visual
presentations
can
be
much
improved
by
following
guidelines
such
as
PRISMA-EcoEvo
(Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
Ecology
Evolutionary
Biology).
This
paper,
along
with
accompanying
online
tutorial,
serves
guide
on
complete
set
(i.e.,
meta-analysis,
quantification,
meta-regression,
tests
sensitivity
analysis)
also
gateway
more
advanced,
yet
appropriate,
methods.
ABSTRACT
Ecology
often
seeks
to
answer
causal
questions,
and
while
ecologists
have
a
rich
history
of
experimental
approaches,
novel
observational
data
streams
the
need
apply
insights
across
naturally
occurring
conditions
pose
opportunities
challenges.
Other
fields
developed
inference
approaches
that
can
enhance
expand
our
ability
ecological
questions
using
or
data.
However,
lack
comprehensive
resources
applying
settings
jargon
from
multiple
disciplines
creates
barriers.
We
introduce
for
inference,
discussing
main
frameworks
counterfactual
how
differs
other
research
aims
key
challenges;
application
in
quasi‐experimental
study
designs;
appropriate
interpretation
results
given
their
assumptions
biases;
foundational
papers;
requirements
trade‐offs
between
internal
external
validity
posed
by
different
designs.
highlight
these
designs
generally
prioritise
over
generalisability.
Finally,
we
identify
considerations
further
integrate
with
synthesis
science
meta‐analysis
spatiotemporal
scales
at
which
is
possible.
advocate
ecology
as
field
collectively
define
best
practices
inference.
Rapid
and
drastic
anthropogenic
impacts
are
affecting
global
biogeochemical
processes
driving
biodiversity
loss
across
Earth's
ecosystems.
In
aquatic
ecosystems,
species
distributions
shifting,
abundances
of
many
have
declined
dramatically,
threatened
with
extinction.
addition
to
diversity,
the
ecosystem
functions,
services
on
which
humans
depend
also
being
heavily
impacted.
Addressing
these
challenges
not
only
requires
direct
action
mitigate
environmental
but
innovative
approaches
identify,
quantify
treat
their
effects
in
environment.
Mesocosms
valuable
tools
for
achieving
goals
as
they
provide
controlled
environments
evaluating
stressors
testing
novel
mitigation
measures
at
multiple
levels
biological
organisation.
Here,
we
summarise
discussions
from
a
survey
marine
freshwater
researchers
who
use
mesocosm
systems
synthesise
opportunities
limitations
advancing
solutions
grand
ecological
While
most
research
utilising
ecology
has
focused
quantifying
threats,
there
is
largely
unexplored
potential
using
them
test
solutions.
To
overcome
spatio‐temporal
constraints,
scale
up
size
time‐scales
studies,
or
alternatively,
outcomes
habitat‐scale
restoration
smaller
scale.
Enhancing
connectivity
future
studies
can
help
limitation
isolation
an
important
aspect
recovery.
Conducting
‘metacosm'
studies:
coordinated,
distributed
experiments
spanning
wide
climatic
gradients
more
regression‐based
experimental
designs
tackle
challenge
context
dependent
results.
Finally,
collaboration
theoretical,
applied
ecologists
biogeochemists
engineers
technological
developers
will
be
necessary
develop
required
advance
human
activities
vulnerable
Abstract
Understanding
the
interactions
among
anthropogenic
stressors
is
critical
for
effective
conservation
and
management
of
ecosystems.
Freshwater
scientists
have
invested
considerable
resources
in
conducting
factorial
experiments
to
disentangle
stressor
by
testing
their
individual
combined
effects.
However,
diversity
systems
studied
has
hindered
previous
syntheses
this
body
research.
To
overcome
challenge,
we
used
a
novel
machine
learning
framework
identify
relevant
studies
from
over
235,000
publications.
Our
synthesis
resulted
new
dataset
2396
multiple‐stressor
freshwater
systems.
By
summarizing
methods
these
studies,
quantifying
trends
popularity
investigated
stressors,
performing
co‐occurrence
analysis,
produce
most
comprehensive
overview
diverse
field
research
date.
We
provide
both
taxonomy
grouping
909
into
31
classes
an
open‐source
interactive
version
(
https://jamesaorr.shinyapps.io/freshwater‐multiple‐stressors/
).
Inspired
our
results,
help
clarify
whether
statistical
detected
align
with
interest,
outline
general
guidelines
design
any
system.
conclude
highlighting
directions
required
better
understand
ecosystems
facing
multiple
stressors.
Philosophical Transactions of the Royal Society B Biological Sciences,
Год журнала:
2024,
Номер
379(1904)
Опубликована: Май 5, 2024
Automated
sensors
have
potential
to
standardize
and
expand
the
monitoring
of
insects
across
globe.
As
one
most
scalable
fastest
developing
sensor
technologies,
we
describe
a
framework
for
automated,
image-based
nocturnal
insects—from
development
field
deployment
workflows
data
processing
publishing.
Sensors
comprise
light
attract
insects,
camera
collecting
images
computer
scheduling,
storage
processing.
Metadata
is
important
sampling
schedules
that
balance
capture
relevant
ecological
information
against
power
limitations.
Large
volumes
from
automated
systems
necessitate
effective
We
vision
approaches
detection,
tracking
classification
including
models
built
existing
aggregations
labelled
insect
images.
Data
account
inherent
biases.
advocate
explicitly
correct
bias
in
species
occurrence
or
abundance
estimates
resulting
imperfect
detection
individuals
present
during
occasions.
propose
ten
priorities
towards
step-change
vital
task
face
rapid
biodiversity
loss
global
threats.
This
article
part
theme
issue
‘Towards
toolkit
monitoring’.
Ecology Letters,
Год журнала:
2023,
Номер
26(12), С. 2147 - 2166
Опубликована: Ноя. 3, 2023
The
enemy
release
hypothesis
(ERH)
is
the
best-known
explaining
high
performance
(e.g.
rapid
population
growth)
of
exotic
species.
However,
current
framing
ERH
does
not
explicitly
link
evidence
with
performance.
This
leads
to
uncertainty
regarding
role
in
biological
invasions.
Here,
we
demonstrate
that
effect
on
product
three
factors:
impact,
diversity,
and
host
adaptation.
These
factors
are
modulated
by
seven
contexts:
time
since
introduction,
resource
availability,
phylogenetic
relatedness
native
species,
host-enemy
asynchronicity,
number
introduction
events,
type
enemy,
strength
growth-defence
trade-offs.
ERH-focused
studies
frequently
test
different
under
contexts.
can
lead
inconsistent
findings,
which
typifies
for
ERH.
For
example,
over
80%
meta-analyses
fail
consider
ecological
contexts
alter
study
findings;
this
re-analysing
a
recent
synthesis.
Structuring
around
promotes
generalisable
predictions
about
when
where
species
may
benefit
from
release,
empowering
effective
management.
Our
mechanistic
factor-context
framework
clearly
lays
out
required
support
ERH,
unifies
many
enemy-related
invasion
hypotheses,
enhances
predictive
capacity.
Global Ecology and Biogeography,
Год журнала:
2024,
Номер
33(4)
Опубликована: Фев. 21, 2024
Abstract
Aim
Species
distribution
models
(SDMs)
are
increasingly
applied
across
macroscales
using
detection‐nondetection
data.
These
typically
assume
that
a
single
set
of
regression
coefficients
can
adequately
describe
species–environment
relationships
and/or
population
trends.
However,
such
often
show
nonlinear
spatially
varying
patterns
arise
from
complex
interactions
with
abiotic
and
biotic
processes
operate
at
different
scales.
Spatially
coefficient
(SVC)
readily
account
for
variability
in
the
effects
environmental
covariates.
Yet,
their
use
ecology
is
relatively
scarce
due
to
gaps
understanding
inferential
benefits
SVC
provide
compared
simpler
frameworks.
Innovation
Here
we
demonstrate
SDMs,
particular
focus
on
how
this
approach
be
used
generate
test
ecological
hypotheses
regarding
drivers
spatial
trends
relationships.
We
illustrate
SDMs
simulations
two
case
studies:
one
assesses
51
forest
bird
species
eastern
United
States
over
decades
second
evaluates
five
land
cover
change
grasshopper
sparrow
(
Ammodramus
savannarum
)
occurrence
continental
States.
Main
conclusions
found
strong
support
alternatives
both
empirical
studies.
Factors
operating
fine
scales,
accounted
by
SVCs,
were
primary
divers
Additionally,
SVCs
revealed
species–habitat
grassland
cropland
area
sparrow,
providing
nuanced
insights
into
future
may
shape
its
distribution.
applications
display
utility
help
reveal
factors
drive
distributions
local
broad
conclude
discussing
potential
conservation.
The Science of The Total Environment,
Год журнала:
2024,
Номер
926, С. 171849 - 171849
Опубликована: Март 25, 2024
Urban
streams
are
exposed
to
a
variety
of
anthropogenic
stressors.
Freshwater
salinization
is
key
stressor
in
these
ecosystems
that
predicted
be
further
exacerbated
by
climate
change,
which
causes
simultaneous
changes
flow
parameters,
potentially
resulting
non-additive
effects
on
aquatic
ecosystems.
However,
the
and
velocity
urban
still
poorly
understood
as
multiple-stressor
experiments
often
conducted
at
pristine
rather
than
sites.
Therefore,
we
mesocosm
experiment
Boye
River,
recently
restored
stream
located
highly
urbanized
area
western
Germany,
applied
recurrent
pulses
salinity
along
gradient
(NaCl,
9
h
daily
+0
+2.5
mS/cm)
combination
with
normal
reduced
current
velocities
(20
cm/s
vs.
10
cm/s).
Using
comprehensive
assessment
across
multiple
organism
groups
(macroinvertebrates,
eukaryotic
algae,
fungi,
parasites)
ecosystem
functions
(primary
production,
organic-matter
decomposition),
show
reduction
has
pervasive
impact,
causing
community
shifts
for
almost
all
assessed
(except
fungi)
inhibiting
decomposition.
Salinization
affected
only
dynamic
components
assembly
enhancing
invertebrate
emigration
via
drift
reducing
fungal
reproduction.
We
caution
comparatively
small
impact
salt
our
study
can
due
legacy
from
past
pollution
coal
mining
activities
>30
years
ago.
Nevertheless,
results
suggest
management
should
prioritize
continuity
minimum
discharge
maintain
integrity.
Our
exemplifies
holistic
approach
impacts
streams,
needed
inform
establishment
threshold
above
mitigation
actions
must
taken.