1 Geophysical Research Letters 2 Supporting Information for 3 Hidden carbon sink beneath desert Yan Li1 , 4 5 6 7 8 9 Yu-Gang Wang1 , R.A. Houghton2 , Li-Song Tang1 1 State Key Lab of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Xinjiang 830011, China,2 Woods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02540-1644, USA. 10 11 12 Contents of this file 13 Text: text01 14 Table: ts01 – ts06 15 Figure: fs01 16 17 Introduction 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 This document contains 1 text, 6 tables and 1 figure file, as described below. 1. text01.tex Text file with detailed description of soil CO2 flux measurements. 2. ts01.txt Table file with statistics of DIC age and its K-S test in the Tarim Basin 3. ts02.txt Table file with the parameters and prediction errors of models for DIC age in the Tarim Basin 4. ts03.txt Table file with the parameters for carbon storage of the saline aquifers of the Tarim Basin for each age group 5. ts04.txt Table file with DIC content in different DIC age groups within the Tarim Basin 6. ts05.txt Table file with estimated DIC input and storage for three arid basins in China. 7. ts06.txt Table file with estimated DIC input and storage for three 5 arid basins in other parts of the world. 6. fs01.tif Diurnal variations (a−g) and daily average (h) of soil CO2 fluxes at different groundwater depth (GWD) at the center of Taklamagan Desert. 34 1 35 36 Text01: 37 Detailed Description of soil CO2 flux measurements in the Taklamagan Desert 38 Measurements of soil CO2 fluxes were conducted in the hinterland of the 39 Taklamagan Desert (39°00ʹN, 83°40ʹE and 1099 m.a.s.l.) during 4–19 August 2013, 40 with an LI-8150 Automated Soil CO2 Flux System equipped with six long-term 41 monitoring chambers (LI-COR 8150, Lincoln, Nebraska, USA). To capture the 42 influence of groundwater depth (GWD) on soil CO2 fluxes, soil collars were arranged 43 along a longitudinal sand dune transect, giving a natural gradient of GWD. In total, 44 seven sites were measured, with GWD of 4.32, 6.80, 9.58, 11.15, 13.25, 26.16 and 45 28.85 m, respectively. Soil CO2 fluxes were measured every 30 min, and each site was 46 monitored for at least 2 d with three replicates (Figure S1). 47 GWD was determined by artificial digging at the lowest site. Then, based on the 48 site, relative altitude was measured with Electronic Total Station (NTS-660R, South 49 China Electronic Company, Guangzhou, China) and GWD of other sites could be 50 calculated. 51 52 53 54 55 56 57 58 59 2 60 61 62 Table S1 Statistics of DIC age and its K–S test in the Tarim Basin. Sample Mean 170 63 2227 SE SD 235 3068 CV (%) Min 156.82 1 Max Skewness Kurtosis 16880 2.16 5.25 K–S 3.042 P = 0.000 64 65 66 Table S2 The parameters and prediction errors of models for DIC age in the Tarim 67 Basin. Co/Sil Model Exponentia l 68 Co 1.5 Range l (Degree) 0.128 0.84 12.3 8 F-valu R2 Sill RSS RMSS E 0.00 7 1.018 e 0.59 6 ME 0.23 40.58** 9 1 Note: **Means F-test significance at p < 0.01 69 70 71 Table S3 The parameters for carbon storage of the saline aquifers of the Tarim Basin 72 for each age group. △H (m) DIC age 73 74 75 C (mg L–1) P (K yr · BP) A (104 km2) Mean SE Mean SE Mean SE <1 12.50 4202 1090 0.11 0.03 62.32 3.32 1–2 10.04 5151 958 0.11 0.03 60.83 3.9 2–5 16.83 5933 853 0.11 0.03 68.22 4.31 5–8 6.56 5337 903 0.11 0.03 77.15 19.37 >8 4.65 6621 1547 0.11 0.03 68.48 11.81 △H is the thickness of the aquifer, P the porosity of the aquifer, C the DIC content in the groundwater, which is taken as sum of carbon in the form of carbonate and bicarbonate. 3 76 77 Note: the porosity of the aquifer is 0.09–0.14 in the Tarim Basin, 0.03 was the Adj. P-SE. 78 79 80 Table S4 DIC content in different DIC age groups within the Tarim Basin (mg L–1) DIC age (K yr · BP) N Min Max Mean SE <1 68 18.1 165.44 62.32 3.32 1–2 37 18.3 124.5 60.83 3.9 2–5 51 19.28 149.51 68.22 4.31 5–8 8 22.66 183.62 77.15 19.37 >8 6 34.23 108.43 68.48 11.81 170 18.1 64.68 2.25 Basin 183.62 81 82 Table S5: DIC input to and DIC storage in three closed arid basins in China, with DIC 83 stands for dissolved inorganic carbon. Data in bold are data used in the 84 current study, with input rate inversely calculated from the DIC storage and 85 age, averaged for a long history (more than 10 000 years). Other data 86 (including data in Table S6) are summarized from literatures as noted, 87 averaged for the last few decades. DIC Input for active recharging area Runoff Recharge Area Input DIC Storage for whole basin Mean Area Pool DIC Basin 8 3 8 3 -1 4 2 12 -1 -2 -1 4 2 (10 m ) (10 m yr ) (10 km ) (10 gC yr ) (gC m yr ) (10 km ) (PgC) (gC m-3) -―― 335.5 16.82 2.17±1.08 12.88±6.43 50.58 19.84±5.35 64.68±2.25 Tarim*a 479.85 203.65 3.52 1.49±0.49 42.38±13.84 51.63 22.59±5.13 73.19±3.2 Junggar*b 127.08 51.27 2.63 2.91±0.97 11.06±3.69 17.57 2.39±1.35 56.70±2.81 Qaidam*c 50.08 17.96 0.37 1.53±0.19 41.22±5.01 14.16 2.36±1.19 85.24±10.35 Sum/Mean 657.01 272.88 6.52 5.93±2.73 29.68±9.25 83.36 16.57±7.02 67.76±2.23 Tarim (in this study) 88 *a, *b, and *c indicate data source as listed below. 89 90 *a Li, W. P, P. X. Jiao, Z. X. Zhao. (1995), Study of groundwater chemistry and environmental isotopic hydrogeology from north to south in Taklimakan desert, 4 91 92 Hrdro-geology & geological-engineering., 4, 22-25. (Chinese journal with English abstract) 93 94 95 *a Shen, Y., W. G. Ding, C. J. Wang. (2006), Regulating function of natural groundwater reservoir in Xinjiang Tarim basin, Ground water., 28, 48-51. (Chinese journal with English abstract) 96 97 98 99 *a Zhang, H. F., W. H. Li, H. T. Ge, Y. Chen. (2003), Compositor analysis on correlation between groundwater level and water chemical contents in low reaches of Tarim river, Arid Land Geography., 26, 260-263. (Chinese journal with English abstract) 100 101 102 *a Zhao, C. S., B. Shen, B. N. Dong, D. H. Guang, X. W. Zhang. (2004), Groundwater chemical tests in Hotian area and countemeasures for exploitation. Journal of Water Resources & Water Engineering., 15, 28-31. (Chinese journal with English abstract) 103 104 105 *a Zhu, H., H. F. Zhou, X. Chen, J. Ma. (2005), Analysis on the characterics of groundwater resources in Kashgar prefecture, Xinjiang, Arid Zone Research., 22, 152-156. (Chinese journal with English abstract) 106 107 *a & *b Dong XG, Deng MJ. 2005. Groundwater resource in Xinjiang province. Xinjiang science and technology press, Urumqi, Xinjiang, China. 108 *a & *b Groundwater in Xinjiang province. 1965. Science Press, Beijing, China. 109 110 *a & *b Groundwater resource in Xinjiang province. 1985. Hydrological service, Urumqi, Xinjiang, China. 111 112 *a, *b& *c China institute of hydro-geology bureau.1959.Distribution of shallow groundwater in China. Science press, Beijing. 113 114 115 *b Guo, L., B. Zhang, J. Guo. (2007), Analysis of natural groundwater reservoir protection in the sourth of Zungar basin, Ground Water., 29, 40-42. (Chinese journal with English abstract) 116 117 *c Liu, Y. H. (2000), Water resource and its rational development and eco-environment protection in Caidamu basin. Science Press, Beijing China. 118 119 *c Statistical data of hydrology characteristic in Qinhai province. 1970. Hydrological Service, Qinhai, China. 120 121 122 *c Xie, J., J. Yang, J. Zhang. (2001), Survey and evaluation of geological environment in Chaidam basin, Northwestern Geology, 34, 29-34. (Chinese journal with English abstract) 123 124 *c Yang, G. L., and G. X. Zhang. (1996), The hydrological features of Caidum Basin. Arid Zone Research., 13, 7-13. (Chinese journal with English abstract) 125 126 127 *c Zhang, P. X. (1987), Salt lake in Caidamu basin. Science Press, Beijing. 5 128 129 130 131 132 Table S6: DIC input to and DIC storage for 5 basins in Australia, USA, Arabian 133 Peninsula and Sahara, with DIC stands for dissolved inorganic carbon. 134 Data are summarized from available literatures. 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