Assmann review: spatial ecology of rotational and continuous cover forestry in boreal landscapes
European Journal of Forest Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 6, 2025
Language: Английский
Spatio-Temporal Heterogeneity of Vegetation Coverage and Its Driving Mechanisms in the Agro-Pastoral Ecotone of Gansu Province: Insights from Multi-Source Remote Sensing and Geodetector
Macao Zhuo,
No information about this author
Jianyu Yuan,
No information about this author
Jie Li
No information about this author
et al.
Atmosphere,
Journal Year:
2025,
Volume and Issue:
16(5), P. 501 - 501
Published: April 26, 2025
The
agro-pastoral
ecotone
of
Gansu
Province,
a
critical
component
the
ecological
security
barrier
in
northern
China,
is
characterized
by
pronounced
fragility
and
climatic
sensitivity.
Investigating
vegetation
dynamics
this
region
essential
for
balancing
conservation
sustainable
development.
This
study
integrated
MODIS/NDVI
remote
sensing
data
(2000–2020),
climate,
land,
anthropogenic
factors,
employing
Sen’s
slope
analysis,
coefficient
variation
(Cv),
Hurst
index,
geodetector
modeling,
partial
correlation
analysis
to
systematically
unravel
spatio-temporal
evolution
driving
mechanisms
coverage.
Key
findings
revealed
following:
(1)
Vegetation
coverage
exhibited
significant
increasing
trend
(0.05
decade−1),
peaking
2018
(NDVI
=
0.71),
with
distinct
north–south
spatial
gradient
(lower
values
areas
vs.
higher
southern
regions).
Statistically
greening
trends
(p
<
0.05)
were
observed
55.42%
area.
(2)
Interannual
fluctuations
generally
mild
(Cv
0.15),
yet
central
regions
showed
2–3
times
variability
than
southern/northwestern
areas.
Future
projections
(H
0.62)
indicated
sustained
NDVI
growth.
(3)
Climatic
factors
dominated
dynamics,
sunshine
hours
precipitation
exhibiting
strongest
explanatory
power
(q
0.727
0.697,
respectively),
while
elevation–precipitation
interaction
achieved
peak
capacity
0.845).
(4)
correlated
positively
43.62%
(rmean
0.47),
whereas
average
temperature,
maximum
≥10
°C
accumulated
suppressed
growth
−0.06
−0.42),
confirming
as
primary
driver
regional
recovery.
multi-scale
analytical
framework
developed
here
provides
methodological
empirical
support
precision
governance
climate-sensitive
transitional
zones,
particularly
optimizing
functions
arid
semi-arid
regions.
Language: Английский
Shifts in the Soil Microbial Community and Enzyme Activity Under Picea crassifolia Plantations and Natural Forests
Forests,
Journal Year:
2024,
Volume and Issue:
16(1), P. 14 - 14
Published: Dec. 25, 2024
Soil
microbes
are
crucial
for
regulating
biogeochemical
cycles
and
maintaining
forest
ecosystem
sustainability;
however,
the
understanding
of
microbial
communities
enzyme
activity
under
natural
plantation
forests
in
plateau
regions
remains
limited.
Using
soil
samples
from
15-,
30-,
50-year-old
Picea
crassifolia
plantations
a
(NF)
eastern
Qinghai,
China,
this
study
assessed
physicochemical
properties,
communities,
across
three
layers.
Microbial
composition
was
characterized
using
phospholipid
fatty
acid
(PLFA)
method,
which
is
sensitive
to
structural
changes.
The
PLFAs
bacteria,
fungi,
actinomycetes
accounted
58.31%–74.20%,
8.91%–16.83%,
3.41%–10.41%
total
all
forests,
respectively.
There
were
significant
differences
between
NF
plantations,
with
exhibiting
higher
PLFA
abundance
activities
than
except
fungal
PLFAs.
increased
age.
However,
fungi-to-bacteria
ratio
lower
plantations.
Finally,
redundancy
analysis
revealed
that
properties
influence
functionality
significantly.
These
findings
highlight
stand
age
on
structure,
offering
valuable
insights
management
practices
aimed
at
conserving
forests.
Language: Английский
The Long-Term Cumulative Effect of Management Decisions on Forest Structure and Biodiversity
Teele Paluots,
No information about this author
Jaan Liira,
No information about this author
Mare Leis
No information about this author
et al.
Published: Jan. 1, 2024
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DOI
Language: Английский
Soil communities following clearcut and salvage harvest have different early successional dynamics compared with post-wildfire patterns
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 11, 2024
Abstract
Understanding
the
impacts
of
harvest
and
subsequent
silviculture
practices
at
stand
scales
on
below-ground
biota,
their
associated
nutrient
cycling
processes,
is
needed
to
more
fully
evaluate
sustainable
management
boreal
forest
systems.
While
replacing
wildfire
primary
natural
disturbance
mechanism
in
jack
pine-dominated
systems;
clearcut
also
results
renewal
so
sometimes
used
silvicultural
systems
emulate
processes.
In
this
study,
we
simultaneously
assessed
successional
trajectories
three
major
taxa
below
ground
soil
community,
bacteria,
fungi,
arthropods
using
DNA
metabarcoding.
The
objectives
study
were
use
a
chronosequence
framework
to:
1)
assess
whether
communities
following
converge
along
gradient,
2)
when
community
recovers
pre-disturbance,
mature,
reference
condition,
3)
effects
cumulative
succession
(i.e.,
followed
by
salvage
harvesting
fire-killed
trees).
We
found
that
richness
(alpha
diversity)
did
not
illustrate
any
clear
patterns
convergence
could,
therefore,
underestimate
recovery
times,
especially
for
arthropods.
Comparisons
underlying
composition
(beta
proved
be
informative.
case,
different
recovered
timelines
compared
with
stand-replacing
wildfire.
general,
bacteria
appear
first
post-wildfire
conditions
arthropods,
however,
fungi
within
time
frame
chronosequence.
This
suggests
extended
periods
are
required
achieve
complete
fungal
pre-disturbance
condition.
appeared
have
greater
(compounded)
effect
or
harvest.
work
showcases
performance
scalable
method
monitoring
diverse
arrange
biota
future
work,
tracking
arthropod
may
provide
insights
into
longer-term
current
guidance
comparing
alternative
approaches.
Open
Research
Statement
Sequences
been
deposited
NCBI
SRA
under
GRDI-Ecobiomics
project
accession
PRJNA565010
BioSample
accessions
SAMN26926703
-
SAMN26926795
study.
MetaWorks
v1.9.3
multi-marker
metabarcode
bioinformatic
pipeline
available
from
https://github.com/terrimporter/MetaWorks
.
ITS
classifier
based
UNITE+INSD
full
dataset
v8.2
trained
RDP
Classifier
(
https://github.com/terrimporter/UNITE_ITSClassifier
).
COI
v4
https://github.com/terrimporter/CO1Classifier
code
produce
figures,
including
infile
metadata
files,
will
https://github.com/terrimporter/Chronosequence_HarvestType
Language: Английский