Arboriculture & Urban Forestry,
Год журнала:
2024,
Номер
50(5), С. 365 - 390
Опубликована: Авг. 29, 2024
Abstract
Background
The
inventory
of
street
tree
populations
has
acquired
new
importance
due
to
interest
in
the
provision
ecosystem
services.
That
said,
this
paper
aims
compare
systematic
sampling
with
stratified
using
different
sizes
units
estimate
variables
interest:
number
trees
per
kilometer
sidewalk
(
D
F
),
basal
area
g
mean
total
height
,
volume
V
and
species
E
).
An
innovative
contribution
here
is
testing
alternative
density
variables.
Methods
In
densely
urbanized
Piracicaba
(Sao
Paulo
State,
Brazil),
90
sets
4
blocks
were
systematically
sampled.
They
used
compose
1,
2,
3,
blocks.
Stratification
was
based
on
percentage
cover
obtained
geoprocessing
tools.
Only
public
a
circumference
at
breast
greater
than
or
equal
12
cm
planted
sidewalks
avenue
medians
included.
Results
effect
unit
size
stratification
accuracy,
sample
size,
intensity
analyzed.
results
show
that
more
accurate
process,
especially
for
.
Conclusions
Reductions
significant
when
2-block
used.
According
to
the
‘fitness‐suitability'
hypothesis,
ongoing
changes
in
climate
are
expected
affect
habitat
suitability
and
hence
species'
fitness.
In
trees,
differences
fitness
may
manifest
as
growth
rates,
which
will
alter
carbon
uptake.
Using
tree‐ring
data,
we
calculated
>
1.5
million
annual
stem
rate
estimates
(standardized
for
tree
size)
15
677
trees
representing
37
species
from
558
populations
throughout
eastern
North
America.
We
used
collections
data
distribution
models
estimate
each
population's
climatic
1900
2010.
then
assessed
relationships
between
growth,
time
using
linear
mixed‐effects
models.
found
that
rates
decreased
significantly
through
independent
of
were
highly
variable
across
species.
Contrary
expectations,
negatively
correlated
with
suitability,
a
relationship
was
consistent
over
gymnosperms
became
more
negative
angiosperms.
These
results
suggest
not
good
proxy
and/or
unidentified
factors
be
slowing
outweighing
any
potential
benefits
change
increasing
atmospheric
CO
2
concentrations.
Regardless
cause,
this
finding
indicates
should
count
on
increased
American
help
offset
anthropogenic
emissions.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Май 10, 2024
Abstract
Climate
change
and
atmospheric
deposition
of
nitrogen
(N)
sulfur
(S)
impact
the
health
productivity
forests.
Here,
we
explored
potential
impacts
these
environmental
stressors
on
ecosystem
services
provided
by
future
forests
in
contiguous
U.S.
We
found
that
all
stand-level
benefitted
(+
2.6
to
8.1%)
from
reductions
N+S
deposition,
largely
attributable
positive
responses
reduced
S
offset
net
negative
effects
lower
N
levels.
Sawtimber
responded
positively
0.5
0.6%)
some
climate
change,
but
negatively
(−
2.4
−
3.8%)
most
extreme
scenarios.
Aboveground
carbon
(C)
sequestration
forest
diversity
were
impacted
modelled
changes
climate.
Notably,
scenario
eliminated
gains
three
achieved
through
deposition.
As
individual
tree
species
differently
associated
unique
each
increased
or
decreased
under
Our
results
suggest
should
be
considered
when
evaluating
benefits
air
pollution
policies
Remote Sensing,
Год журнала:
2023,
Номер
15(21), С. 5162 - 5162
Опубликована: Окт. 29, 2023
Canopy
height
data
from
the
Global
Ecosystem
Dynamics
Investigation
(GEDI)
mission
has
powered
development
of
global
forest
products,
but
these
and
products
have
not
been
validated
in
non-forest
tree
plantation
settings.
In
this
study,
we
collected
field
observations
canopy
heights
throughout
oil
palm
plantations
Nigeria
evaluated
performance
existing
map
(CHM)
as
well
a
local
model
trained
on
GEDI
various
Landsat
Sentinel-2
feature
combinations.
We
found
that
CHMs
fared
poorly
region,
with
mean
absolute
errors
(MAE)
4.2–6.2
m.
However,
locally
models
performed
(MAE
=
2.5
m),
indicating
using
optical
satellite
can
still
be
effective,
even
region
relatively
sparse
coverage.
addition
to
improved
overall
performance,
was
especially
effective
at
reducing
for
short
(<5
m)
trees,
where
struggle
capture
height.
Environmental Science & Technology,
Год журнала:
2023,
Номер
58(1), С. 381 - 390
Опубликована: Дек. 15, 2023
Understanding
how
best
to
use
limited
land
without
compromising
food
security,
health,
and
beneficial
ecosystem
functions
is
a
critical
challenge
of
our
time.
Ecosystem
service
assessments
increasingly
inform
land-use
decisions
but
seldom
include
the
effects
on
air
quality,
largest
environmental
health
risk.
Here,
we
estimate
value
quality
potential
policies
projected
trends
in
United
States,
alongside
carbon
sequestration
economic
returns
land,
until
2051.
We
show
that
are
first-order
importance
decisions,
often
larger
than
combined.
When
properly
accounted
for,
appeared
shown
be
detrimental
vice
versa.
Land-use-driven
impacts
largely
from
agricultural
emissions
biogenic
forest
emissions,
although
incentives
for
reduced
deforestation
remain
overall.
Without
evaluating
unable
determine
whether
make
us
better
or
worse
off.
Urban forestry & urban greening,
Год журнала:
2023,
Номер
89, С. 128125 - 128125
Опубликована: Окт. 26, 2023
California's
urban
forest
is
composed
of
both
native
and
non-native
species.
These
trees
improve
the
quality
life
residents
mitigate
effects
climate
change
by
buffering
local
microclimates.
A
species'
status
often
defined
at
scale
state's
political
boundaries,
which
doesn't
reflect
its
actual
range.
Here
we
define
list
95
tree
species
to
California,
create
digital
range
maps
for
each
species,
provide
lists
every
city
in
analyze
trends
areas.
We
found
that
areas
have
relatively
few
are
within
a
given
city's
boundaries.
Even
though
non-natives
outnumber
natives
all
California
cities,
opportunities
more
diversity
slim
as
most
cities
less
than
four
aren't
already
growing
trees.
face
hotter
drier
future,
threatening
existing
forests
benefits
they
residents.
explore
different
options
selection
based
on
goal
healthy
resilient
into
future.
Sibbaldia The International Journal Of Botanic Garden Horticulture,
Год журнала:
2023,
Номер
22
Опубликована: Май 25, 2023
Botanic
garden
collections
are
increasingly
seeking
to
quantify
and
improve
the
value
of
their
for
science,
horticulture,
conservation
other
uses.
Quantifying
a
collection
depends
on
mission
institution.
Many
botanic
gardens
prioritising
rare
threatened
species
towards
preventing
plant
extinctions.
In
doing
so,
must
make
decisions
about
which
plants
should
remain,
be
replaced
or
added
collections,
how
allocate
staff
resources
care
individual
plants,
while
considering
funding
space
limits.
So,
can
curators
biggest
impact
conserving
species?
We
present
promising
method
quantitatively
assess
might
higher
lower
priority
an
ex
situ
collection,
using
what
we
term
‘endangerment
value’
–
extinction.
apply
this
four
genera
high
importance
at
The
Morton
Arboretum
showcase
advantages
approach
as
well
pitfalls.
found
useful
setting,
but
note
that
inclusion
exclusion
different
data
they
weighted
impacts
ranking
important
lesson
any
prioritisation
method.
hope
will
inspire
help
evaluate
current
future
endangerment
set
priorities
maintaining
growing
globally.
A
synoptic
review
of
plant
disease
epidemics
and
outbreaks
was
made
using
two
complementary
approaches.
The
first
approach
involved
reviewing
scientific
literature
published
in
2021,
which
quantitative
data
related
to
new
or
were
obtained
via
surveys
similar
methodologies.
second
retrieving
records
added
2021
the
CABI
Distribution
Database,
contains
over
a
million
global
geographic
organisms
from
50,000
species.
retrieved
186
articles,
describing
studies
62
categories
(pathogen
species/species
complexes)
across
>40
host
species
on
6
continents.
Pathogen
with
>5
articles
were:
Bursaphelenchus
xylophilus,
Candidatus
Liberibacter
asiaticus,
cassava
mosaic
viruses,
citrus
tristeza
virus,
Erwinia
amylovora,
Fusarium
spp.
complexes,
oxysporum
f.
sp.
cubense,
Magnaporthe
oryzae,
maize
lethal
necrosis
co-infecting
Meloidogyne
Pseudomonas
syringae
pvs,
Puccinia
striiformis
tritici,
Xylella
fastidiosa,
Zymoseptoria
tritici.
Automated
searches
Database
identified
617
distribution
283
pathogens.
further
manual
these
confirmed
15
pathogens
reported
locations:
apple
hammerhead
viroid,
rubbery
wood
Aphelenchoides
besseyi,
Biscogniauxia
mediterranea,
Ca.
Colletotrichum
siamense,
cucurbit
chlorotic
yellows
rhapontici,
Erysiphe
corylacearum,
cubense
Tropical
Race
4,
Globodera
rostochiensis,
Nothophoma
quercina,
potato
spindle
tuber
tomato
brown
rugose
fruit
virus.
Of
these,
4
had
at
least
25%
all
2021.
We
assessed
–
virus
be
actively
emerging
in/spreading
locations.
Although
three
important
represented
results
both
our
interrogation
general
dual
approaches
revealed
distinct
sets
records,
little
overlap.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Май 26, 2023
ABSTRACT
Protecting
the
future
of
forests
relies
on
our
ability
to
observe
changes
in
forest
health.
Thus,
developing
tools
for
sensing
diseases
a
timely
fashion
is
critical
managing
threats
at
broad
scales.
Oak
wilt
—a
disease
caused
by
pathogenic
fungus
(
Bretziella
fagacearum
)—
threatening
oaks,
killing
thousands
yearly
while
negatively
impacting
ecosystem
services
they
provide.
Here
we
propose
novel
workflow
mapping
oak
targeting
temporal
progression
through
symptoms
using
land
surface
phenology
(LSP)
from
spaceborne
observations.
By
doing
so,
hypothesize
that
phenological
pigments
and
photosynthetic
activity
trees
affected
can
be
tracked
LSP
metrics
derived
Chlorophyll/Carotenoid
Index
(CCI).
We
used
dense
time-series
observations
Sentinel-2
create
Analysis
Ready
Data
across
Minnesota
Wisconsin
derive
three
metrics:
value
CCI
start
end
growing
season,
coefficient
variation
during
season.
integrate
high-resolution
airborne
imagery
multiple
locations
select
pixels
n
=
3,872)
most
common
tree
health
conditions:
healthy,
symptomatic
wilt,
dead.
These
were
train
an
iterative
Partial
Least
Square
Discriminant
(PLSD)
model
probability
(i.e.,
pixel)
one
these
conditions
associated
uncertainty.
assessed
models
spatially
temporally
testing
datasets
revealing
it
feasible
discriminate
among
with
overall
accuracy
between
80-82%.
Within
conditions,
suggest
spatial
variations
CCI-derived
predict
healthily
(Area
Under
Curve
(AUC)
0.98),
(AUC
0.89),
dead
0.94)
low
false
positive
rates.
The
performance
was
robust
different
years
as
well.
predictive
maps
guide
local
stakeholders
locating
hotspots
ground
verification
subsequent
decision-making
treatment.
Our
results
highlight
capabilities
map
their
importance
monitoring
biodiversity
large