Phytostabilization potential and microbial response to the reclamation of native Cynodon dactylon in spoil heaps from a multiple-metal mining site in Southwest China
Bowen Wang,
No information about this author
Yanying Guo,
No information about this author
Xuejiao Li
No information about this author
et al.
Journal of Environmental Management,
Journal Year:
2025,
Volume and Issue:
378, P. 124758 - 124758
Published: March 2, 2025
Language: Английский
Biodiversity in mountain soils above the treeline
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 14, 2025
ABSTRACT
Biological
diversity
in
mountain
ecosystems
has
been
increasingly
studied
over
the
last
decade.
This
is
also
case
for
soils,
but
no
study
to
date
provided
an
overall
synthesis
of
current
state
knowledge.
Here
we
fill
this
gap
with
a
first
global
analysis
published
research
on
cryptogams,
microorganisms,
and
fauna
soils
above
treeline,
structured
Based
corpus
almost
1400
publications
expertise
37
soil
scientists
worldwide,
summarise
what
known
about
distribution
patterns
each
these
organismal
groups,
specifically
along
elevation,
provide
overview
available
knowledge
drivers
explaining
their
changes.
In
particular,
document
elevation‐dependent
decrease
faunal
while
cryptogams
there
initial
increase
followed
by
towards
nival
belt.
Thus,
our
data
confirm
key
role
that
elevation
plays
shaping
biodiversity
organisms
soils.
The
response
prokaryote
turn,
was
more
diverse,
whereas
fungal
appeared
be
substantially
influenced
plants.
As
far
as
available,
describe
characteristics,
adaptations,
functions
species,
despite
lack
ecological
information
uncultivated
majority
prokaryotes,
fungi,
protists,
illustrate
remarkable
unique
life
forms
histories
encountered
alpine
By
applying
rule‐
well
pattern‐based
literature‐mining
approaches
semi‐quantitative
analyses,
identified
hotspots
European
Alps
Central
Asia
revealed
significant
gaps
taxonomic
coverage,
particularly
among
biocrusts,
fauna.
We
further
report
thematic
priorities
treeline
identify
unanswered
questions.
Building
upon
outcomes
synthesis,
conclude
set
opportunities
worldwide.
Soils
fulfil
critical
make
essential
contributions
land.
Accordingly,
seizing
closing
appears
crucial
enable
science‐based
decision
making
regions
formulating
laws
guidelines
support
conservation
targets.
Language: Английский
Responses of soil fungal community composition and function to wetland degradation in the Songnen Plain, northeastern China
Zhizhi Yan,
No information about this author
Shuhan Yang,
No information about this author
Lei Chen
No information about this author
et al.
Frontiers in Plant Science,
Journal Year:
2024,
Volume and Issue:
15
Published: Sept. 9, 2024
Wetlands
are
ecosystems
that
have
a
significant
impact
on
ecological
services
and
essential
for
the
environment.
With
impacts
of
rapid
population
growth,
wetland
reclamation,
urbanization,
land
use
change,
wetlands
undergo
severe
degradation
or
loss.
However,
response
soil
fungal
communities
to
remains
unknown.
It
is
crucial
comprehend
how
diversity
dynamics
fungi
respond
varying
levels
progression
in
Songnen
Plain.
Language: Английский
Changes in Soil Bacterial and Fungal Community Composition and Functional Groups During the Artificial Restoration of Degraded Grassland of “Black‐Soil Mountain”
Lele Xie,
No information about this author
Yushou Ma,
No information about this author
Yanlong Wang
No information about this author
et al.
Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
14(10)
Published: Oct. 1, 2024
ABSTRACT
About
35%
of
grassland
in
Sanjiangyuan
area
China
has
degenerated
into
black‐soil
mountain.
Artificial
is
considered
to
be
an
effective
measure
alleviate
the
severely
degraded
alpine
region
three
rivers
and
been
widely
used.
However,
pattern,
potential
function,
changes
carbon
nitrogen
contents
soil
microorganisms
Heimushan
by
planting
artificial
are
still
unclear.
In
this
study,
mixed‐sown
(AG)
was
focus
our
whereas
mountain
(BG)
natural
(NG)
served
as
controls.
Illumina
16S
ITS
gene
sequence
analyses
were
used
analyze
community
structure
bacteria
fungi.
The
functional
groups
NG,
AG,
BG
predicted
using
FAPROTAX
FUNGuild
databases.
addition,
levels
carbon,
nitrogen,
enzyme
activities
evaluated.
results
indicated
a
significant
increase
aboveground
biomass
due
grassland.
Moreover,
total
(TC),
(TN),
ammonium
(),
microbial
(MBC),
(MBN),
leucine
aminopeptidase
(LAP)
increased
soil.
Planting
grasslands
changed
composition
bacterial
fungal
communities.
Among
these,
more
sensitive
grasslands.
relative
abundance
involved
cycling
significantly,
suggesting
that
may
play
role
regulating
nutrient
during
planting.
Soil
TC,
TN,
LAP,
affected
related
nitrogen.
β‐1,4‐glucosidase
factors,
respectively,
These
indicate
can
effectively
enhance
productivity
regulate
communities
physical
chemical
properties.
Language: Английский
Soil fungal networks exhibit sparser interactions than bacterial networks in diseased banana plantations
Peng Chen,
No information about this author
Jinku Li,
No information about this author
Dandan Wei
No information about this author
et al.
Applied and Environmental Microbiology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 8, 2024
Soil
microorganisms
play
a
crucial
role
in
suppressing
soil-borne
diseases.
Although
the
composition
of
microbial
communities
healthy
versus
diseased
soils
is
somewhat
understood,
interplay
between
interactions
and
disease
incidence
remains
unclear.
This
study
used
16S
rRNA
fungal
internal
transcribed
spacer
(ITS)
sequencing
to
investigate
bacterial
community
three
soil
types:
forest
(Z),
from
banana
plantations
(H),
(D).
Principal
coordinate
analysis
revealed
significant
differences
among
structures
types.
Compared
with
those
soil,
diversities
significantly
decreased
soil.
Key
microorganisms,
including
bacteria
Chloroflexi
Pseudonocardia
fungi
Mortierellomycota
Moesziomyces,
were
increased
plantations.
Redundancy
that
total
nitrogen
available
phosphorus
primary
drivers
structure.
The
neutral
model
posited
assembly
predominantly
governed
by
stochastic
processes,
whereas
primarily
driven
deterministic
processes.
Furthermore,
co-occurrence
network
proportion
positive
edges
was
5.92
times
lower
than
plantations,
its
structure
sparse
simple.
In
conclusion,
reduced
within
linked
epidemiology
Fusarium
wilt.
These
findings
underscore
critical
modulating
pathogens.
Language: Английский
Effects of grassland degradation on soil ecological stoichiometry and soil microbial community on the South of the Greater Khingan Mountains
Frontiers in Microbiology,
Journal Year:
2024,
Volume and Issue:
15
Published: Nov. 18, 2024
Grassland
which
covers
40%
of
terrestrial
land
is
an
important
ecosystem
having
a
multitude
functions,
has
suffered
various
degrees
degradation
with
the
interaction
between
global
climate
change
and
unreasonable
human
utilization
(e.g.,
grazing
reclamation).
Improved
understanding
soil
microbial
community
diversity
during
meadow
steppe
crucial
for
predicting
mechanisms
restoration
strategies.
Here,
we
used
Illumina
sequencing
technology
to
investigate
patterns
structure
driving
factors
its
across
different
[i.e.,
non-degraded
grasslands
(NDG),
lightly
degraded
(LDG),
moderately
(MDG),
severely
(SDG)]
south
Greater
Khingan
Mountains.
Our
results
showed
significant
variation
in
properties,
enzyme
activity,
metal
elements
meadows.
Soil
available
phosphorus
(AP),
urease
(UE),
cellulase
(CL)
soils
increased
intensity
grassland
degradation.
significantly
decreased
bacterial
fungal
richness.
In
addition,
relative
abundance
Firmicutes
(from
1.65%
5.38%)
Myxococcota
2.13%
3.13%).
Degradation
considerably
Ascomycota
66.54%
75.05%),
but
Basidiomycota
18.33%
9.92%).
The
nitrogen
fixation
cellulolysis
due
For
functional
guilds,
pathotrophs
while
saprotrophs
increasing
severity
Total
(TP),
AP,
potassium
(AK),
manganese
(Mn),
lead
(Pb),
UE,
sucrase
(SC),
alcalase
protease
(ALPT)
were
main
drivers
composition,
TP,
AK,
Pb,
SC
composition
grassland.
findings
demonstrated
that
severe
enormous
effect
on
communities
physicochemical
dynamics.
These
improve
our
theoretical
interactions
populations
environmental
variables
Language: Английский