Effects of differences in aboveground dead organic matter types on the stand‐scale necromass and CO2 efflux estimates in a subtropical forest in Okinawa Island, Japan
Effects of differences in aboveground dead organic matter types on the stand‐scale necromass and CO2 efflux estimates in a subtropical forest in Okinawa Island, Japan
复制标题
日本冲绳岛亚热带森林地上死亡有机物类型差异对林分规模坏死物和二氧化碳流出量估计的影响
DOI:
10.1111/1440-1703.12317
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发表时间:
2022
影响因子:
2
通讯作者:
Matsumoto Kazuho
中科院分区:
文献类型:
--
作者:
Abe Hayato;Katayama Ayumi;Taniguchi Shingo;Takashima Atsushi;Kume Tomonori;Matsumoto Kazuho
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), contributes to forest carbon cycling; however, few studies have considered effects of differences in DOM types on the stand‐scale estimates of carbon stocks of necromass and CO2efflux (Rstand). This study investigated characteristics of necromass andRstandin a subtropical forest in Okinawa Island, Japan, to quantify the effect of DOM type on total necromass, totalRstand, and estimate error of total necromass andRstand. The CWDsnagaccounted 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 totalRstand(340.6 g C m−2year−1), followed by CWDsnag(25%), CWDlog(20%), and FWD (17%). The CWDsnagwas distributed locally with 173% coefficient of variation for necromass, which was twofold higher than those of leaf litter and FWD (72%–73%). The potential error in CWD accounted for 99% and 79% estimate error for total necromass andRstand, respectively. For the estimates of CWDsnagand CWDlognecromass with the estimates error of <10% in this study area, sampling areas of ≥28,750 m2and ≥2058–42,875 m2, respectively, were required. Our results showed that CWD considerably contributed to stand‐scale carbon stocks and efflux among aboveground DOM in this forest, resulting in a major source of errors in the stand‐scale estimates.