| Literature DB >> 26584586 |
Hongyan Bao1, Tsung-Yu Lee2, Jr-Chuan Huang3, Xiaojuan Feng4, Minhan Dai1, Shuh-Ji Kao1.
Abstract
The land-to-ocean export of particulate organic carbon (POC) connects carbon flow from the atmosphere through land to the ocean, of which the contemporary fraction that reaches the deep sea for burial may effectively affect atmospheric CO2. In this regard, small mountainous rivers (SMRs) in Oceania, a global erosion hotspot driven by torrential typhoon rain and active earthquakes are potentially important. Here we measured typhoon lignin discharges for Taiwan SMRs. We found that the particulate lignin export in 96 hours by a single SMR amounting to ~20% of the annual export by Mississippi River. The yearly particulate lignin discharge from Taiwan Island (35,980 km(2)) is governed by the frequency and magnitude of typhoon; thus, the historical lignin export ranged widely from 1.5 to 99.7 Gg yr(-1), which resulted in a 10-100 times higher areal yield relative to non-Oceanian rivers. The lignin-derived modern POC output from Oceania region is 37 ± 21 Tg C yr(-1), account for approximately 20% of the annual modern POC export from global rivers. Coupled with the hyperpycnal pathway, the forested watersheds of SMRs in Oceania may serve as a giant factory to rapidly produce and efficiently convey modern POC into deep sea for sequestration.Entities:
Year: 2015 PMID: 26584586 PMCID: PMC4653641 DOI: 10.1038/srep16217
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Sampling locations and tracks of Typhoon Doug (1994), Typhoon Mindulle (2004) and Typhoon Morakot (2009).
The Central Mountain Range separates the island into western and eastern parts. Western-flank rivers were sampled during Doug and eastern rivers during Morakot. The map was created by the ArcGIS 10.2. The typhoon tracks were downloaded from http://www.wz121.com/TyphoonWeb/HistoryTyphoon.aspx.
Figure 2The temporal variation of water discharge, total suspended matter concentration (TSM, g L−1) and lignin concentration (Lignin, mg L−1) during the typhoon flood.
(a)Jhuoshuei River during Mindulle. (b) Liwu River during Morakot. Dashed lines indicate the discharge-weighted lignin concentrations. Error bars indicate the standard deviation of analytical measurement.
Figure 3Scatter plot of lignin concentration (mg L−1) against TSM (g L−1) for Taiwan SMRs and other rivers.
Three grey lines are for 0.01, 0.1 and 1 mg Lignin (g TSM)−1 line, respectively. Data sources: Taiwan SMRs, this study; Amazon River51, Congo River52; Changjiang40; Mekong River53; Mississippi River41; Tech River54; Eel River and Umpqua River6; Oceanian SMRs55.
Figure 4Scatter plot between particulate lignin discharge (t hr−1) and total suspended particle load (t hr−1) for flood samples island-wide.
The gray regression stands for the original log-log linear regression. The black dashed line and the equation are the bias-corrected for back transformation log-log linear regression following Kao et al. (2005). The residual is 35% for both over- and under-estimate and applied onto the annual lignin load in Supplementary Fig. S3.
Lignin flux and areal lignin yield from global rivers.
| River name | Basin Area(km2) | POC flux(Tg yr−1) | Lignin flux(Gg yr−1) | Lignin yield |
|---|---|---|---|---|
| Taiwan SMRs | 35980 | 1.60 | 19.7 | 0.55 |
| Oceanian SMRs | 2700000 | 48.00 | 1476 | 0.55 |
| Amazon River | 7050000 | 13.00 | 291.0 | 0.04 |
| Changjiang | 1940000 | 0.99 | 14.9 | 0.01 |
| Mississippi River | 3270000 | 0.93 | 13.0 | 0.00 |
| Mekong River | 795000 | 1.70 | 19.0 | 0.02 |
| Congo River | 3820000 | 2.80 | 87.3 | 0.02 |
| Arctic rivers | 11103000 | 1.20 | 4.7 | 0.00 |
| Eel River | 9537 | 0.01–0.02 | 0.11–0.29 | 0.01–0.04 |
| Umpqua River | 13000 | 0.01 | 0.38–0.40 | 0.03–0.04 |
| Total | 30700537 | 68.6 | 1899 |
*Lignin yield = lignin flux/basin area.
aKao et al., 201417 and this study.
bData are from Lyons et al., 200210; Kao et al., 201417 and this study.
cData are from Hedges et al., 198651; Richey et al., 199056.
dData are from Dagg et al., 200457; Yu et al., 201140; Gao et al., 201258.
eData are from Dagg et al., 200457; Bianchi et al., 200741.
fData from Ellis et al. (2012)53;
gData are from Dagg et al., 200457; Spencer et al., 201252.
hData from Lobbes et al. (2000)59.
iData from Goñi et al. (2013)6.
Figure 5Lignin concentration versus (Ad/Al)v in river suspended particles (RS), surface soil, deep soil and marine sediments (MS), mean ± 1SD are shown.
Lignin phenols data for marine sediments are from Kuo et al., 201448.