Global Change Biology,
Journal Year:
2021,
Volume and Issue:
27(15), P. 3657 - 3680
Published: May 13, 2021
Abstract
Fine
roots
constitute
a
significant
component
of
the
net
primary
productivity
(NPP)
forest
ecosystems
but
are
much
less
studied
than
aboveground
NPP.
Comparisons
across
sites
and
regions
also
hampered
by
inconsistent
methodologies,
especially
in
tropical
areas.
Here,
we
present
novel
dataset
fine
root
biomass,
productivity,
residence
time,
allocation
old‐growth
rainforest
worldwide,
measured
using
consistent
methods,
examine
how
these
variables
related
to
consistently
determined
soil
climatic
characteristics.
Our
pantropical
spans
intensive
monitoring
plots
lowland
(wet,
semi‐deciduous,
deciduous)
montane
forests
South
America,
Africa,
Southeast
Asia
(
n
=
47).
Large
spatial
variation
dynamics
was
observed
types.
In
forests,
found
strong
positive
linear
relationship
between
sand
content,
this
even
stronger
when
considered
fractional
total
NPP
roots,
demonstrating
that
understanding
adds
explanatory
power
time
function
multiple
factors:
pH,
maximum
water
deficit,
with
longest
times
acidic,
sandy,
water‐stressed
soils.
on
other
hand,
different
set
relationships
prevailed,
highlighting
very
nature
biomes.
Root
mean
annual
temperature,
nitrogen
content
lastly
decreasing
P
increased
roots.
contrast
lowlands,
environmental
conditions
were
better
predictor
for
suggesting
is
particularly
driver
mountain
regions.
New Phytologist,
Journal Year:
2022,
Volume and Issue:
237(3), P. 714 - 733
Published: Jan. 17, 2022
Summary
Tropical
forest
function
is
of
global
significance
to
climate
change
responses,
and
critically
determined
by
water
availability
patterns.
Groundwater
tightly
related
soil
through
the
table
depth
(WT),
but
historically
neglected
in
ecological
studies.
Shallow
WT
forests
(WT
<
5
m)
are
underrepresented
research
networks
absent
eddy
flux
measurements,
although
they
represent
c
.
50%
Amazon
expected
respond
differently
global‐change‐related
droughts.
We
review
patterns
consequences
for
plants,
emerging
results,
advance
a
conceptual
model
integrating
environment
trait
distributions
predict
effects.
have
distinct
species
composition,
with
more
resource‐acquisitive
hydrologically
vulnerable
trees,
shorter
canopies
lower
biomass
than
deep
forests.
During
‘normal’
climatic
years,
shallow
higher
mortality
productivity
forests,
during
moderate
droughts
buffered
increases.
However,
severe
drought,
may
be
sensitive
due
roots
drought‐intolerant
traits.
Our
evidence
supports
hypothesis
being
resilient
challenging
prevailing
view
widespread
negative
effects
on
Amazonian
that
ignores
gradients,
predicts
could
collapse
under
very
strong
New Phytologist,
Journal Year:
2022,
Volume and Issue:
235(1), P. 20 - 40
Published: April 1, 2022
Summary
Earth
system
models
must
predict
forest
responses
to
global
change
in
order
simulate
future
climate,
hydrology,
and
ecosystem
dynamics.
These
are
increasingly
adopting
vegetation
demographic
approaches
that
explicitly
represent
tree
growth,
mortality,
recruitment,
enabling
advances
the
projection
of
vulnerability
resilience,
as
well
evaluation
with
field
data.
To
date,
simulation
regeneration
processes
has
received
far
less
attention
than
affect
growth
spite
their
critical
role
maintaining
structure,
facilitating
turnover
composition
over
space
time,
recovery
from
disturbance,
regulating
climate‐driven
range
shifts.
Our
review
process
representations
within
current
reveals
need
improve
parameter
values
algorithms
for
reproductive
allocation,
dispersal,
seed
survival
germination,
environmental
filtering
seedling
layer,
strategies
adapted
wind,
fire,
anthropogenic
disturbance
regimes.
improvements
require
synthesis
existing
data,
specific
data‐collection
protocols,
novel
model
compatible
global‐scale
simulations.
Vegetation
offer
opportunity
more
fully
integrate
ecological
understanding
into
prediction;
be
a
part
effort.
Nature,
Journal Year:
2022,
Volume and Issue:
612(7941), P. 707 - 713
Published: Dec. 14, 2022
Abstract
Old-growth
tropical
forests
are
widely
recognized
as
being
immensely
important
for
their
biodiversity
and
high
biomass
1
.
Conversely,
logged
usually
characterized
degraded
ecosystems
2
However,
whether
logging
results
in
a
degradation
ecosystem
functions
is
less
clear:
shifts
the
strength
resilience
of
key
processes
large
suites
species
have
rarely
been
assessed
an
ecologically
integrated
quantitative
framework.
Here
we
adopt
energetics
lens
to
gain
new
insight
into
impacts
forest
disturbance
on
integrative
aspect
ecological
function:
food
pathways
community
structure
birds
mammals.
We
focus
gradient
spanning
old-growth
oil
palm
plantations
Borneo.
In
there
2.5-fold
increase
total
resource
consumption
by
both
mammals
compared
that
forests,
probably
driven
greater
accessibility
vegetation
palatability.
Most
principal
energetic
maintain
diversity
redundancy,
implying
maintained
resilience.
Conversion
plantation
collapse
most
pathways.
Far
from
ecosystems,
even
heavily
can
be
vibrant
diverse
with
enhanced
levels
function.
Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
120(3)
Published: Jan. 9, 2023
Logged
and
structurally
degraded
tropical
forests
are
fast
becoming
one
of
the
most
prevalent
land-use
types
throughout
tropics
routinely
assumed
to
be
a
net
carbon
sink
because
they
experience
rapid
rates
tree
regrowth.
Yet
this
assumption
is
based
on
forest
biomass
inventories
that
record
stock
recovery
but
fail
account
for
simultaneous
losses
from
soil
necromass.
Here,
we
used
plots
an
eddy
covariance
tower
quantify
partition
ecosystem
CO
2
exchange
in
Malaysian
Borneo,
region
hot
spot
deforestation
degradation.
Our
data
represent
complete
budget
measured
logging
event
subsequent
found
constitute
substantial
persistent
source.
Consistent
with
existing
literature,
our
study
showed
significantly
greater
woody
gain
across
moderately
heavily
logged
compared
unlogged
forests,
was
counteracted
by
much
larger
organic
matter
deadwood
forests.
We
estimate
average
source
1.75
±
0.94
Mg
C
ha
−1
yr
within
5.23
1.23
−
1
unsustainably
severely
plots,
emissions
continuing
at
these
least
one-decade
post-logging.
directly
contradict
default
recovering
sinks,
implying
amount
being
sequestered
world’s
may
considerably
lower
than
currently
estimated.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(17), P. 3168 - 3168
Published: Aug. 27, 2024
Understanding
and
monitoring
soil
organic
carbon
(SOC)
stocks
is
crucial
for
ecosystem
cycling,
services,
addressing
global
environmental
challenges.
This
study
employs
the
BERTopic
model
bibliometric
trend
analysis
exploration
to
comprehensively
analyze
SOC
estimates.
BERTopic,
a
topic
modeling
technique
based
on
BERT
(bidirectional
encoder
representatives
from
transformers),
integrates
recent
advances
in
natural
language
processing.
The
research
analyzed
1761
papers
remote
sensing
(RS),
addition
490
related
machine
learning
(ML)
techniques.
identified
nine
themes
estimation
using
RS,
emphasizing
spectral
prediction
models,
cycle
dynamics,
agricultural
impacts
SOC.
In
contrast,
literature
RS
ML
it
five
thematic
clusters:
spatial
forestry
analysis,
hyperspectral
deep
learning,
multitemporal
imaging
of
farmland
SOC,
platforms
(Sentinel-2
synthetic
aperture
radar,
SAR).
From
1991
2023,
has
evolved
basic
mapping
topics
like
sequestration
with
Sentinel-2A
big
data.
summary,
this
traces
historical
growth
evolution
research,
identifying
synergies
between
focusing
advanced
These
findings
are
critical
assessments
policy
formulation.