Abstract.
Describing
the
coupling
of
nitrogen
(N),
phosphorus
(P),
and
carbon
(C)
cycles
land
ecosystems
requires
understanding
microbial
element
use
efficiencies
soil
organic
matter
(SOM)
decomposition.
These
are
studied
by
enzyme
steady
allocation
model
(SESAM)
at
decadal
scale.
The
assumes
that
communities
their
develop
towards
an
optimum
where
growth
entire
community
is
maximized.
Specifically,
SESAM
approximated
this
optimization
allocating
resources
to
several
SOM
degrading
enzymes
proportional
revenue
these
enzymes,
called
Relative
approach.
However,
a
rigorous
mathematical
treatment
approximation
has
been
lacking
so
far.
Therefore,
in
study
we
derive
explicit
formulas
maximize
total
return
from
enzymatic
processing,
Optimal
Further,
another
heuristic
approach
prescribes
change
without
need
deriving
formulation
for
optimal
allocation,
Derivative
When
comparing
predictions
across
approaches,
found
was
special
case
valid
sufficiently
high
biomass.
low
biomass,
it
overestimated
having
lower
revenues
compared
Derivative-based
closely
tracked
allocation.
finding
more
together
with
observing
same
patterns
approaches
increases
our
confidence
into
conclusions
drawn
studies.
Moreover,
new
developments
extend
range
conditions
which
can
be
drawn.
smaller
set
types
expressed
biomass
led
us
formulate
constrained
hypothesis,
provides
complementary
explanation
why
some
substrates
preserved
over
decades
although
often
being
decomposed
within
few
years
incubation
experiments.
This
shows
how
optimality
considerations
lead
simplified
models,
insights
hypotheses.
It
step
simple
representation
adaptive
community,
required
coupled
stoichiometric
CNP
dynamic
models
aimed
processes
beyond
ecosystem
Genome biology,
Journal Year:
2025,
Volume and Issue:
26(1)
Published: Feb. 3, 2025
Plant
residue
microbial
decomposition,
subject
to
significant
environmental
regulation,
represents
a
crucial
ecological
process
shaping
and
cycling
the
largest
terrestrial
soil
organic
carbon
pool.
However,
fundamental
understanding
of
functional
dynamics
interactions
between
principal
participants,
fungi
bacteria,
in
natural
habitats
remains
limited.
In
this
study,
evolution
fungal
bacterial
communities
their
were
elucidated
during
degradation
complexity-gradient
plant
residues.
The
results
reveal
that
with
increasing
complexity,
exhibit
heightened
adaptability,
while
richness
declines
sharply.
differential
bacteria
is
driven
by
complexity
but
follows
distinct
trajectories.
Fundamentally,
evolve
towards
promoting
so
consistently
act
as
dominant
decomposers.
Conversely,
predominantly
increase
expression
genes
glycosidases
exploit
products,
thereby
acting
exploiters.
presence
enables
endures
exploitation.
This
study
introduces
novel
framework
decomposers
exploiters
advancing
our
comprehensive
processes
governing
cycling.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 10, 2025
Soil
erosion
contributes
to
the
irreversible
loss
of
soil
organic
carbon
(SOC)
into
rivers
(SOCR),
posing
risks
food
security
and
cycle
assessments.
Red
regions,
characterized
by
high
sink
potential
selenium
enrichment,
are
particularly
vulnerable.
However,
existing
studies
largely
rely
on
small-scale
experiments,
with
limited
understanding
basin-scale
SOCR
dynamics
their
driving
factors.
This
study
integrates
Water
Assessment
Tool
(SWAT)
for
sediment
yield
simulation
a
Organic
Carbon
Content
(SOCC)
model
quantify
at
basin
scale.
A
Random
Forest-based
prediction
was
developed
explore
spatial-temporal
variability
mechanisms
in
Dongjiang
River
Basin
(DRB),
representative
red
region
southern
China.
Results
indicate
significant
heterogeneity,
higher
observed
downstream,
human-disturbed
areas
during
flood
seasons.
The
demonstrates
excellent
performance
(R²>0.9).
Key
drivers
include
yield,
cultivated
land
area
(CULT),
urban
(TOWN),
urbanization
showing
stronger
sensitivity
than
cultivation
due
factors
such
as
city
size
impervious
surfaces.
proposed
framework
reveals
dynamic
change
characteristics
its
mechanism,
which
has
be
generalized
other
basins
similar
studies,
provides
technical
support
resource
management
cycling
erosion-prone
region.
Environmental Microbiome,
Journal Year:
2025,
Volume and Issue:
20(1)
Published: March 17, 2025
Abstract
Background
In
arid
and
semiarid
environments,
microbial
activity
is
restricted
by
low
water
availability
high
evapotranspiration
rates,
soil
development
limited.
Under
humid
conditions,
such
limitations
can
be
overcome,
accelerating
pedogenesis
processes.
Our
study
aims
to
broaden
our
understanding
of
under
a
climate
change
scenario
toward
conditions
identify
the
microorganisms
that
help
transform
initial
soils
from
sites.
We
characterized
pedogenetic
processes
how
their
gene
expression
differs
between
sites
sixteen-week
simulation
experiment
using
metagenomic
metatranscriptomic
approaches.
Results
found
an
intense
functional
response
triggered
in
site
compared
site,
which
showed
greater
resilience.
The
undergoes
higher
transcription
genes
involved
aggregate
formation,
phosphorus
metabolism,
weathering,
potentially
adapting
change.
Additionally,
transcriptional
reconfiguration
linked
carbon
nitrogen
dynamics
suggests
use
available
organic
resources
alongside
autotrophy
increased
moisture.
Pseudomonadota
Actinomycetota
dominated
overall
profile
specific
functions
associated
with
early
stages
both
Conclusions
findings
highlight
rapid
activation
pathways
related
sites,
driven
metabolic
requirements
environmental
stressors,
influencing
global
Agronomy,
Journal Year:
2024,
Volume and Issue:
14(4), P. 689 - 689
Published: March 27, 2024
In
the
agroforestry
system,
organic
matter
in
farmland
and
natural
ecosystem
enters
soil
a
mixed
form
to
improve
fertility
carbon
pool
quality.
However,
it
is
unclear
how
microbial
carbon-degrading
enzyme
activity
responds
dynamics
this
process.
Therefore,
we
took
Loess
Plateau
as
research
object,
combining
application
of
corn
straw
Robinia
pseudoacacia
leaves
mass
ratio
4:0,
3:1,
2:2,
1:3,
0:4
for
returning
field.
We
measured
grain
yield,
emission,
component
content,
farmland.
The
results
showed
that
had
significant
impact
on
components
(readily
oxidizable
recalcitrant
carbon),
enzymes
(polyphenol
oxidase,
peroxidase,
cellobiohydrolase),
cumulative
emissions.
trend
different
indicators
treatments
during
growth
period
was
similar.
found
emissions
were
closely
related
ROC
oxidase
activity,
while
content
hydrolase
activity.
Compared
not
field,
returned
field
1:3(Y1C3)
can
increase
yield
by
32.04%.
Y1C3
treatment
has
highest
lowest
crop
emission
efficiency.
Soil
water
plays
crucial
role
process
transformation
driven
enzymes.
conclusion,
are
Combining
may
be
more
suitable
farming
measure
fragile
habitats
than
other
solutions.