10.5061/DRYAD.PK0P2NGJW
Chang, Chenhui
0000-0002-4107-2065
VU University Amsterdam
van Logtestijn, Richard S.P
VU University Amsterdam
Goudzwaard, Leo
Wageningen University & Research
van Hal, Jurgen
VU University Amsterdam
Zuo, Juan
Wuhan University
Hefting, Mariet
Wageningen University & Research
Yang, Shanshan
Wageningen University & Research
Sterck, Frank J.
Wageningen University & Research
Poorter, Lourens
Wageningen University & Research
Cornelissen, Johannes H. C.
VU University Amsterdam
Sass-Klaassen, Ute
Wageningen University & Research
Methodology matters for comparing coarse wood and bark decay rates across
tree species
Dryad
dataset
2020
asynchronous
dead wood
ecological methodology
fragment loss
inner bark thickness
Interspecific variation
mass loss percentage
volume loss
China Scholarship Council
https://ror.org/04atp4p48
2.01707E+11
2020-03-20T00:00:00Z
2020-03-20T00:00:00Z
en
https://doi.org/10.1111/2041-210X.13390
1787375 bytes
4
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
1. The importance of wood decay for the global carbon and nutrient cycles
is widely recognized. However, relatively little is known about bark decay
dynamics, even though bark represents up to 25% of stem dry mass.
Moreover, bark presence versus absence can significantly alter wood decay
rates. Therefore, it really matters for the fate of carbon whether
variation in bark and wood decay rates is coordinated across tree species.
2. Answering this question requires advances in methodology to measure
both bark and wood mass loss accurately. Decay rates of large logs in the
field are often quantified as loss in tissue density, in which case volume
depletions of bark and wood can give large underestimations. 3. To
quantify the real decay rates, we assessed bark mass loss per stem surface
area and wood mass loss based on volume-corrected density loss. We further
defined the range of actual bark mass loss by considering bark cover loss.
Then, we tested the correlation between bark and wood mass loss across 20
temperate tree species during 4 years of decomposition. 4. The area-based
method generally showed more than 3-fold higher bark mass loss than the
density-based method (even higher if considering bark cover loss), and
volume-corrected wood mass losses were 1.08-1.12 times higher than
density-based mass loss. The deviation of bark mass loss between the two
methods was higher for tree species with thicker inner bark. Bark
generally decomposed twice as fast as wood across species, and faster
decaying bark came with faster decaying wood (R2=0.26, P=0.006). 5. We
strongly suggest using corrected volume when assessing wood mass loss
especially for the species with faster decomposable sapwood and all the
wood at advanced decay stages. Further studies of coarse stem
decomposition should consider trait “afterlife” effects of inner bark and
estimate fraction of stem bark cover to obtain more accurate decay rates.
6. Our new method should benefit our understanding of the in situ dynamics
of woody debris decay and monitoring research in different forest
ecosystems worldwide, and should aid meta-analyses across diverse studies.