Nitrogen content of herbarium specimens from arable fields and mesic meadows reflect the intensifying agricultural management during the 20th century
Paul Kühn,
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Raymond Umazekabiri,
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Christine Römermann
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et al.
Journal of Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 8, 2025
Abstract
Arable
fields
and
mesic
meadows
have
been
affected
by
intensifying
agricultural
management
nutrient
input
during
the
20th
century,
but
direct
evidence
for
long‐term
impact
of
intensification
on
plant
contents
remains
scarce.
Non‐destructive
novel
spectroscopic
methods
can
produce
such
data
from
herbarium
specimens,
making
it
possible
to
investigate
how
leaf
traits,
especially
nitrogen
phosphorus,
changed
over
last
what
role
habitat
type
practices
play.
We
carried
out
a
resurvey
study
functional
traits
in
arable
field
meadow
communities.
used
specimens
two
German
herbaria
with
high
coverage
their
local
floras:
Senckenberg
Görlitz
Haussknecht
Jena.
Following
specimen
information,
same
species
were
resampled
2022
at
locations.
employed
near‐infrared
spectroscopy
predict
nitrogen,
phosphorus
carbon
content
specimens.
Nutrient
changes
time
compared
public
records
regional
P
N
fertilization.
Overall,
1270
76
both
studied,
oldest
19th
century.
Leaf
nitrogen:phosphorus
ratio
increased
significantly
through
time,
while
decreased
time.
showed
stronger
response
than
species.
The
total
amount
or
fertilizer
applied
per
year
scale
was
found
be
correlated
respective
levels.
Synthesis
:
Our
shows
increase
studied
habitats,
paralleling
chemical
applications
Germany.
indicate
shift
predominantly
N‐limited
towards
more
P‐limited
growth
conditions.
could
faster
adjustment
environmental
pressures.
This
thus
also
serves
showcase
potential
combination
collections
NIR
spectroscopy.
Language: Английский
Guidelines for the effective and ethical sampling of herbaria
Nature Ecology & Evolution,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 27, 2024
Language: Английский
Nitrogen nutritional diagnosis of summer maize (Zea mays L.) based on a hyperspectral data collaborative approach-evaluation of the estimation potential of three-dimensional spectral indices
Zijun Tang,
No information about this author
Yaohui Cai,
No information about this author
Youzhen Xiang
No information about this author
et al.
Computers and Electronics in Agriculture,
Journal Year:
2024,
Volume and Issue:
229, P. 109713 - 109713
Published: Dec. 10, 2024
Language: Английский
FORMING A LARGE, MULTICENTRE HERBARIUM: HERBARIUM HAUSSKNECHT (JE) JOINS HERBARIUM SENCKENBERGIANUM
Stefan Wanke,
No information about this author
Volker Otte,
No information about this author
Marc S. Appelhans
No information about this author
et al.
Taxon,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 2, 2025
Language: Английский
A survey on inline soil pollution measurement and mapping technologies
Measurement,
Journal Year:
2025,
Volume and Issue:
unknown, P. 117655 - 117655
Published: May 1, 2025
Language: Английский
Leaf spectroscopy as a tool for predicting the presence of isoprene emissions and terpene storage in central Amazon forest trees
Plant Methods,
Journal Year:
2025,
Volume and Issue:
21(1)
Published: June 4, 2025
Volatile
isoprenoids
(VIs),
such
as
isoprene,
monoterpenes,
and
sesquiterpenes,
participate
in
various
forest-atmosphere
processes
ranging
from
plant
cell
regulation
to
atmospheric
particle
formation.
The
Amazon
Forest
is
the
greatest
most
diverse
source
of
VI
emissions,
but
lack
leaf-level
studies
logistical
challenges
measuring
remote
highly
biodiverse
sites
bring
high
levels
uncertainty
modeled
emission
estimates.
Studies
indicate
that
leaf
spectroscopy
an
effective
tool
for
estimating
morphological,
physiological,
chemical
traits,
being
a
promising
more
easily
assessing
emissions
vegetation.
In
this
study,
we
tested
ability
reflectance
predict
presence
storage
central
trees.
We
measured
isoprene
capacity
(Ec;
at
standard
conditions:
light
1000
µmol
m-
2
s-
1
photosynthetically
active
radiation
temperature
30
˚C),
stored
monoterpene
sesquiterpene
contents,
hyperspectral
visible
short-wave
infrared
(VSWIR)
dry
fresh
leaves
175
trees
124
species
angiosperms.
found
data,
selected
wavelengths
(616,
694,
1155
nm),
predicted
with
accuracies
0.67
0.72,
respectively.
Meanwhile,
data
0.65
0.67,
Our
results
possibility
using
spectral
readings
botanical
collections
or
field
inventories
orient
sampling
efforts
toward
potential
isoprene-emitting
terpene-storing
trees,
identify
key
features
(most
informative
wavelengths)
future
incorporation
into
sensing
models.
use
tools
detecting
can
help
improve
current
datasets,
reduce
modeling
uncertainties,
contribute
better
understanding
roles
VIs
within
interactions,
chemistry,
carbon
cycle.
Language: Английский