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| Content Provider | Springer Nature Link |
|---|---|
| Author | Do, Tran Sato, Tamotsu Saito, Satoshi Kozan, Osamu |
| Copyright Year | 2015 |
| Abstract | Net primary production (NPP) is an important index for evaluating the patterns, processes, and dynamics of carbon cycling in forest ecosystems. In this study, we estimated the NPP in a warm-temperate old-growth evergreen broad-leaved forest in southwestern Japan. The estimation was based on four compartments: aboveground stand increment (ΔM), aboveground litterfall (Lf), fine-root production (Fr), and coarse root increment (ΔCr). The data for ΔM and ΔCr were collected from a permanent 200 × 200 m$^{2}$ plot over a 4-year interval, while Lf and Fr were collected over a 1-year interval. The NPP was 4.65 g m$^{−2}$ day$^{−1}$, of which ΔM accounted for 25.2 %, Lf accounted for 38.7 %, Fr accounted for 33.4 %, and the remaining 2.7 % was attributed to ΔCr. There was a significant regression between aboveground litterfall and fine-root production (R $^{2}$ = 0.65, P < 0.05). Fine-root decomposition (0.66 g m$^{−2}$ day$^{−1}$) accounted for 14.2 % of the NPP, leading to a higher belowground NPP in the present study compared with that in other forests. We conclude that an estimation of the decomposition of dead fine-roots by the continuous inflow method must be included to improve the accuracy of NPP estimations for forest ecosystems. |
| Starting Page | 921 |
| Ending Page | 930 |
| Page Count | 10 |
| File Format | |
| ISSN | 09123814 |
| Journal | Ecological Research |
| Volume Number | 30 |
| Issue Number | 5 |
| e-ISSN | 14401703 |
| Language | English |
| Publisher | Springer Japan |
| Publisher Date | 2015-07-23 |
| Publisher Place | Tokyo |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Continuous inflow method Decision matrix Fine-root decomposition Litter dynamics Old-growth forest Ecology Plant Sciences Zoology Evolutionary Biology Behavioral Sciences Forestry |
| Content Type | Text |
| Resource Type | Article |
| Subject | Ecology, Evolution, Behavior and Systematics |
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