| Literature DB >> 28552976 |
Bin Qu1, Mika Sillanpää1,2, Chaoliu Li3, Shichang Kang4,5, Aron Stubbins6, Fangping Yan1, Kelly Sue Aho7, Feng Zhou8, Peter A Raymond7.
Abstract
The role played by river networks in regional and global carbon cycle is receiving increasing attention. Despite the potential ofEntities:
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Year: 2017 PMID: 28552976 PMCID: PMC5446113 DOI: 10.1371/journal.pone.0178166
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Permafrost distributions, locations of sampling sites and stations with precipitation data for the headwater rivers of the Tibetan Plateau.
Data of permafrost distributions were from [20]. The map was plotted by ArcGIS 10.2.1 software (ESRI®). Detailed information concerning the sampling sites is shown in Table 1.
Sampling information of the studied rivers.
| Latitude (N) | Longitude (E) | Elevation (m) | Permafrost/total area (%) | River Type [ | Sample | Sampling date | |
|---|---|---|---|---|---|---|---|
| Yellow River | 36°54.302′ | 100°59. 926′ | 3,006 | 24.06 | T | 1 | 2014/08/12 |
| 36°08.238′ | 103°36. 577′ | 1,525 | 33.68 | M | 2 | 2014/08/19 | |
| 36°02.502′ | 101°24. 316′ | 2,196 | 28.49 | M | 3 | 2014/08/13 | |
| 35°43.306′ | 99°32. 847′ | 3,796 | 47.27 | S | 4 | 2014/08/14 | |
| 35°00.774′ | 98°04. 050′ | 4,241 | 63.70 | S | 5 | 2014/08/15 | |
| 35°03.939′ | 98°42. 220′ | 4,475 | 100 | S | 6 | 2014/08/18 | |
| Yangtze River | 34°13.368′ | 92°26.308′ | 4,540 | 100 | M | 7 | 2014/09/12 |
| 34°05.963′ | 97°37. 847′ | 4,701 | 100 | S | 8 | 2014/08/16 | |
| 32°58.924′ | 97°14. 054′ | 3,520 | 70 | T | 9 | 2014/08/17 | |
| 32°59.646′ | 97°14. 963′ | 3,521 | 94.94 | M | 10 | 2014/08/16 | |
| 26°53.896′ | 100°01.430′ | 1,824 | n.d. | M | 11 | 2014/09/03 | |
| Yarlung Tsangpo | 29°21.952′ | 90°51.915′ | 3,595 | 0 | T | 12 | 2014/08/23 |
| 29°16.649′ | 90°48.615 | 3,585 | 9.31 | M | 13 | 2014/08/23 | |
| 29°26.862′ | 94°27.022′ | 2,932 | 2.22 | T | 14 | 2014/08/25 | |
| 29°21.325′ | 94°24.046′ | 2,927 | 12.20 | M | 15 | 2014/08/28 |
“M” “T” and “S” stand for sampling in “main stream”, “tributary” and “small stream”, respectively.
Discharge (km3 yr-1), dissolved organic carbon (DOC) concentration (mg-C L-1), C/N (unitless) and DOC loads (GgC yr-1) of three rivers draining the Tibetan Plateau.
| Region | Rivers | Discharge of water | DOC | C/N | Flux of DOC |
|---|---|---|---|---|---|
| Third Pole | Yellow river | 31.3 | 2.09 | 5.1 | 65.4 |
| Yangtze river | 44.5 | 1.88 | 8.6 | 83.7 | |
| Yarlung Tsangpo [ | 139.5 | 1.16 | 10.6 | 161.9 |
Note: Discharge data for the Yellow River and Yangtze River are from Lanzhou (sample 2 at Fig 1) and Shigu hydrologic station (sample 11 at Fig 1) and were adopted from the Bureau of Hydrology, Ministry of Water Resources, China.
Fig 2Distributions of Δ14C and δ13C isotopes of dissolved organic carbon for rivers of the Tibetan Plateau and other regions.
A full reference list for the carbon isotopes data is provided in Data Set 1.
Concentrations, stable carbon and radiocarbon isotope values for dissolved organic carbon in Tibetan Plateau rivers.
| River | Sample | DOC | Radiocarbon age | Δ14C | δ13C |
|---|---|---|---|---|---|
| Yellow River | 1 | 1.96 | 350 ± 20 | -50.2 ± 3 | -26.9 |
| 2 | 2.27 | 420 ± 15 | -58.3 ± 2 | n.d. | |
| 3 | 2.09 | 955 ± 20 | -119 ± 2 | n.d. | |
| 4 | 2.60 | 405 ± 15 | -56.6 ± 2 | -25.5 | |
| 5 | 1.37 | 590 ± 15 | -77.8 ± 2 | -23.9 | |
| 6 | 2.22 | 515 ± 20 | -69.6 ± 3 | -26.9 | |
| Yangtze River | 7 | 0.99 | 855 ± 25 | -108 ± 3 | -26.5 |
| 8 | 2.28 | 600 ± 15 | -79.2 ± 2 | -26.5 | |
| 9 | 3.04 | 930 ± 25 | -116 ± 3 | -25.5 | |
| 10 | 1.33 | 290 ± 20 | -42.7 ± 3 | n.d. | |
| 11 | 1.79 | n.d. | n.d. | -25.1 | |
| Yarlung Tsangpo | 12 | 1.29 | 260 ± 25 | -39.2 ± 4 | -23.2 |
| 13 | 1.01 | 175 ± 20 | -29.3 ± 3 | -25.3 | |
| 14 | 1.53 | modern | 27.8 | -26.8 | |
| 15 | 0.82 | 805 ± 30 | -102.0 ± 4 | n.d. |
n.d: no data
Fig 3Significant relationship between permafrost soil area as a percentage of watershed area (%) and 14C age of dissolved organic carbon (DOC) in years before present.
Note: samples 3 and 15 were not included in the regression because the old DOC ages of these two samples were attributed to factors other than permafrost carbon contributions. Sample 3 was collected from the lower reaches of the large Longyangxia reservoir on the main stem of the Yellow river. The long residence time of water in the reservoir [23] or carbon age reservoir effects [50] may therefore have contributed to the old 14C age of DOC in this sample. Sample 15 was collected from Yarlung Tsangpo Grand Canyon, the region with the maximum topographic slope on the Tibetan Plateau [51].