Effects of differences in aboveground dead organic matter types on the
stand-scale necromass and CO efflux estimates in a subtropical forest in
Okinawa Island, Japan
Abstract
[This presentation is published at
https://doi.org/10.1111/1440-1703.12317] Dead organic matter (DOM),
which consists of leaf litter, fine woody debris (FWD; < 3 cm
diameter), downed coarse woody debris (CWDlog), and standing or
suspended coarse woody debris (CWDsnag), plays a crucial role in forest
carbon cycling. However, the contributions of each DOM type on
stand-scale carbon storage (necromass) and stand-scale CO2 efflux
(Rstand) estimates are not well understood. In addition, there is little
knowledge of the effect of each DOM type on the accuracy of stand-scale
estimates of total necromass and Rstand. This study investigated
characteristics of necromass and Rstand from DOM in a subtropical forest
in Okinawa island, Japan, to quantify the effect of each DOM type on
total necromass, total Rstand, and estimate error of total necromass and
Rstand. The CWDsnag accounted for the highest proportion (54%) of total
necromass (1499.7 g C m–2), followed by CWDlog (24%), FWD (11%), and
leaf litter (11%). Leaf litter accounted for the highest proportion
(37%) of total Rstand (340.6 g C m–2 yr–1), followed by CWDsnag
(25%), CWDlog (20%), and FWD (17%). The CWDsnag was distributed
locally with 173% of the coefficient of variation for necromass, which
was approximately two times higher than those of leaf litter and FWD
(72–73%). Our spatial analysis revealed, for accurate estimates of
CWDsnag and CWDlog necromass, sampling areas of ≥ 28750 m2 and ≥
2058‒42875 m2 were required, respectively, under the condition of 95%
confidence level and 0.1 of accepted error. In summary, CWD considerably
contributed to stand-scale carbon storage and efflux in this subtropical
forest, resulting in a major source of errors in the stand-scale
estimates. In forests where frequent tree death is likely to occur,
necromass and Rstand of CWD are not negligible in considering the carbon
cycling as in this study, and therefore need to be estimated accurately.