Supporting Information (SI) Ammonium first: natural mosses prefer atmospheric ammonium but vary utilization of dissolved organic nitrogen depending on habitat and nitrogen deposition Xue-Yan Liu1, 2, Keisuke Koba2*, Akiko Makabe2, Xiao-Dong Li1, Muneoki Yoh2, Cong-Qiang Liu1 1 State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550002, China; 2 Faculty of Agriculture, Tokyo University of Agriculture and Technology, Fuchu 1838509, Japan * Author for correspondence: Keisuke Koba E-mail: keikoba@cc.tuat.ac.jp; Tel and fax: +81-42-367-5951 Index: Supporting Information Fig. S1 Map showing the location of Guiyang area and sampling sites. Fig. S2 Contributions of soil-RDN to moss bulk N at Guiyang area. Fig. S3 Contributions of NH4+ and DON to moss bulk N at Guiyang area. Fig. S4 Soil N availability vs soil N contribution in moss N at Guiyang area. Table S1 Level and δ15N of dissolved N in wet deposition at Guiyang, SW China. Table S2 Bulk N and δ15N in natural mosses at Guiyang area. Notes S1 Additional methodological details on study area, precipitation collection, isotopic analyses of soil N and wet-deposited N. Notes S2 Additional results of characteristics of soils under mosses. Notes S3 Additional results of isotopic mass-balance calculations based on RDN. S1 Figure S1 Fig. S1. Map showing the location of Guiyang area and sampling sites of natural mosses (after Liu et al., 2012c). R, S and U represent rural, suburban and urban sites, respectively. S2 Figure S2 80 fsoil-RDN in moss Nbulk (%) 70 60 ES TO TF Average b 50 b b 40 b b ab a 30 a a 20 b b a 10 0 Urban Suburban Rural Fig. S2. Proportional contributions of soil RDN (fsoil-RDN) to moss Nbulk estimated by the δ15N mass balance calculation (Different letters above the bars showed statistical difference between means ± SD at the significance level of P < 0.05). ES for epilithic mosses with soils, TO for terricolous mosses in open fields and TF for mosses on floors of pine forests. S3 Figure S3 Urban Suburban Rural EB ES TO TF EB ES TO TF EB ES TO atm-NH4+ TF Urban Suburban Rural EB ES TO TF EB ES TO TF EB ES TO atm-DON TF ES Urban TO TF ES Suburban TO TF Rural ES TO soil-NH4+ TF ES Urban TO TF ES Suburban TO TF Rural ES TO soil-DON TF 0 10 20 30 40 50 60 70 80 90 100 Proportional contribution (%) Fig. S3. Contributions of NH4+ (atm-NH4+ and soil-NH4+) and DON (atm-DON and soil-DON) to bulk N assimilation in natural mosses at Guiyang area. Calculations were conducted on individual samples by the two-source mixing model (Eqn. 1; for EB) and the ‘IsoSource’ model (Eqn. 3; for ES, TO and TF). The output of ‘IsoSource’ model is a wide range for each N source in each replicate sample. The reported ranges and mean values were original data from the model, not mean values of each replicate. The solid and dash lines within the boxes mark the median and the mean, the boundary of the box indicates the 25th and 75th percentiles, and the dots above and below the whisker caps indicate the 5th and 95th percentiles, respectively. EB represents for epilithic mosses on bare rocks, ES for epilithic mosses with soils, TO for terricolous mosses in open fields and TF for mosses on floors of pine forests. S4 Figure S4 2 Proportional contribution (%) R = 0.06, P = -0.22 -1 2 Real contribution (mg-N g , dw) R = 0.01, P = 0.63 2 Proportional contribution (%) R = 0.00, P = -0.78 -1 2 Real contribution (mg-N g , dw) R = 0.00, P = 0.80 Contribution of soil-DON in N moss Contribution of soil-NH 4+ in Nmoss 30 a 20 10 0 0 10 Soil 20 NH4+ 30 40 50 60 60 b 50 40 30 20 10 0 0 70 20 40 60 80 Soil DON availability (mg-N kg-1, dw) -1 availability (mg-N kg , dw) Fig. S4. The relationships between soil N availability (a: soil-NH4+; b: soil-DON) and corresponding proportional or real contribution of soil N in bulk N of mosses at Guiyang area. Table S1. Level and δ15N signatures of dissolved N in wet deposition at Guiyang, SW China. Values in () show the data range (n = 44, from Dec-2008 to Sep-2009). N form Deposition level (kg-N ha-1 yr-1) Proportion (%) in TDN in RDN TDN 30.7 - - -6.3±5.5 (-18.0−7.4) Liu et al. 2012 RDN 25.4 83 - -7.5±7.2 (-22.9−9.7) Liu et al. 2012 + 15.6 9.8 5.3 51 32 17 62 38 - -14.8±3.0 (-18.8−-10.4) 6.8±15.7 (-6.8−40.7)* 1.9±3.0 (-8.3−2.9) Xiao et al. 2012 Liu et al. 2012; This study Liu et al. 2012 NH4 DON NO3- δ15N / ‰ References * calculated based on the monthly-averaged data (n = 10) for concentrations and isotopic signatures from Liu et al (2012c) and Xiao et al (2012), thus this data was calculated in the different way as we did for soil DON (based on each replicate soil sample; See Methods in the main text). Table S2. Bulk N and δ15N in natural mosses at Guiyang area (Data were cited from Liu et al., 2012c). Reported are means ± SD. Site n Moss N (mg g-1, dw) Moss δ15N / ‰ Urban 6 23.6 ± 1.8 -7.9 ± 3.3 EB Suburban 6 17.4 ± 1.9 -4.0 ± 0.3 Rural 5 16.8 ± 3.0 -3.9 ± 0.7 Urban 3 25.3 ± 1.1 -7.7 ± 3.2 ES Suburban 3 19.8 ± 2.1 -2.8 ± 0.3 Rural 3 19.9 ± 1.4 -3.2 ± 0.3 Urban 3 20.5 ± 4.0 -5.3 ± 1.5 TO Suburban 3 23.9 ± 2.3 -2.0 ± 0.3 Rural 3 20.6 ± 2.6 -2.4 ± 0.3 Urban 3 18.6 ± 2.3 -5.6 ± 0.5 TF Suburban 3 15.6 ± 2.2 -4.0 ± 0.6 Rural 3 17.8 ± 2.0 -2.4 ± 1.0 EB: mosses on bare rock; ES: mosses with soil on rock; TO: terricolous mosses in open fields; TF: terricolous mosses in pine forests. Habitat S5 Notes S1 Additional methodological details on study area, precipitation collection, analyses of concentrations and stable isotopes of soil N and wet-deposited N. Study area Guiyang area has a typical subtropical monsoon climate, and most of the landforms are in the altitude of 1000 − 1500 m (average 1250 m). The mean annual temperature, relative humidity and precipitation is 15.3 ºC, 86% and 1174 mm, respectively. A decrease of N levels (31 kg-N ha-1 yr-1 in the urban to 11 kg-N ha-1 yr-1 in rural areas) and the dominance of RDN have been observed in atmospheric depositions across the urban–rural transect (Liu et al., 2012c). Precipitation collection Bulk precipitation was collected in an urban site (near U1, Fig. S1) from Dec. 2008 to Sept. 2009. The sampling site was the same as that described in Xiao & Liu (2002, 2004). Details of sample collection have been reported in Xiao et al. (2012). Briefly, precipitation was continuously sampled using 1.5L container (light rain events) and 5L container (heavy rain events), i.e., from the beginning to the end of each rain event. As a result, most rain samples (1235 in total) were not on a daily basis, but divided during the course of single rain event. Many of event samples had extremely high or low ratios of RDN to NO3-N, some of which contained no nitrate or too low to be measured for isotopes of major N species. Therefore, we randomly chose 44 daily-based rain samples (n = 3−6 for each month) roughly distributed from the beginning to the end of each month for isotopic analyses of explicit N components. Samples were frozen (at -20°C) and shipped to Japan. Analyses of soil N concentrations and stable isotopes The NH4+ concentration in soil extracts was determined by the indophenol blue method followed by colorimetry, the NO3- concentration was colorimetrically determined by an autoanalyzer (TRAACS 800; Bran Luebbe GmbH, Tokyo, Japan) (Koba et al., 2010a,b). The TDN in 10 ml of soil extract was digested to NO3- using alkaline persulfate digestion (Koba et al., 2010a,b; Koba et al., 2012) and measured as NO3- on the autoanalyzer. The RDN was calculated as the difference between TDN and NO3-. The DON was calculated as the difference between RDN and NH4+ or TDN and DIN. The sieved fresh soils were immediately incubated for 28 days at 25 °C for measuring net rates of N mineralization and nitrification. At the end of the incubation, DIN was measured for incubated soils using the same methods mentioned above. The net N mineralization was calculated as differences between initial and incubated DIN, and nitrification as difference between initial and incubated NO3-. Percent nitrification was defined as the percentage of net nitrification rate to net N mineralization rate. Mosses and soils were analyzed for Nbulk and δ15Nbulk using an elemental analyzer (EA1112; Thermo Fisher Scientific K.K., Yokohama, Japan) coupled with an isotope ratio mass spectrometer (Delta-XP; Thermo Fisher Scientific K.K.). Calibrated DL-alanine (δ15N = -1.7‰), glycine (δ15N = 10.0‰), and histidine (δ15N = -8.0‰) against IAEA-N-1 (ammonium sulfate) were used as the internal standards. The analytical precision for δ15N was better than 0.2‰. Stable isotopes of NO3- in soil extracts were measured using the denitrifier method (Sigman et al. 2001; Casciotti et S6 al. 2002; Koba et al., 2010) on the Delta XP isotope ratio mass spectrometer coupled with a gas chromatograph (HP6890; Hewlett Packard Co., Palo Alto, CA, USA) equipped with a Poraplot column (25m × 0.32 mm), Precon (Thermo Fisher Scientific K.K.), and GC interface III (Thermo Fisher Scientific K.K.). The denitrifying bacteria (Pseudomonas aureofaciens; ATCC 13985) was used to convert 20 nmoles of NO3into gaseous N2O in 20 − 60 ml vials prior to isotopic analyses. We ran several standards (USGS 32, 34, 35 and IAEA NO3-) dissolved in the same KCl solution for soil extraction. The average standard deviations for replicate analysis of an individual sample were ± 0.2‰ (SD) for δ15N in NO3- and ± 0.5‰ (SD) for δ18O. The δ15N of TDN were determined by analyzing the persulfate-digested samples using the same method as that used for NO3-. We ran several standards (alanine, glycine and histidine, with known δ15N values used for EA-IRMS analysis above) dissolved in the KCl solution for calibrating the δ15N of TDN. We also analyzed several TDN samples for the KCl blank (1 − 5 ml of digested KCl solution) to correct for the effect of the N blank from the KCl solution. The average standard deviation for replicate analyses of δ15N-TDN in an individual sample was ± 0.3‰ (SD). The diffusion method was used to recover NH4+ from the soil extract. 5 ml of soil extract was pipetted into a 10 ml glass vial (No. 8; Maruemu Corp. Co. Ltd., Osaka, Japan) immediately after the extraction in the laboratory at the Institute of Geochemistry, China. A glass fiber filter (GF/D, 1 cm diameter, treated at 450°C for 4 h; Whatman Int. Ltd.) acidified with 20 μl of 2 M H2SO4 and wrapped with Teflon tape was added to the vial. After the addition of 0.02 g of MgO (treated at 450°C for 4 h), the vial was quickly closed with an aluminum crimp cap and a butyl rubber stopper (anaerobic stopper; Kandagomukagaku Corp., Tokyo, Japan). We used a constant volume (5 ml) for samples and standards to correct the δ15N affected by the N blank from KCl and the reagents in this diffusion procedure (from MgO, glass fiber filter, diluted H2SO4 and atmospheric ammonia). Several standards and lab working standards (USGS25, 26 and IAEA N-2 dissolved in 5 ml of KCl solution) were diffused as samples to obtain the calibration curve. Several blank samples (5 ml of KCl solution) were also run in parallel. The vials were incubated at 40 °C for 14 days using an oven-shaker (FMS-1000 and MMS-3010; Tokyo Rikakikai Co. Ltd., Tokyo, Japan) with a horizontal shaking speed of 180 rpm. The concentrated NH4+ on the glass fiber filter was digested to NO3- using persulfate oxidation, then the δ15N of NH4+ was measured as the NO3- using the denitrifier method. The average standard deviation for triplicate analyses of an individual sample for δ15N of NH4+ was ± 0.5‰ after the blank correction. Analyses of wet-deposited N concentrations and stable isotopes Chemical analyses of NH4+, NO3-, TDN concentrations in precipitation were the same as that described in Li et al (2012), which was conducted in the same laboratory. The RDN was calculated as the difference between TDN and NO3-. The DON was calculated as the difference between TDN and DIN. Isotopic analyses of rain NO3and TDN were the same as those of soil extracts described above. The δ15N data of NH4+ was cited from Xiao et al (2012). The δ15N of RDN and DON were calculated using the following mass and isotopic balance equations: δ15NRDN = {δ15NTDN × [TDN] – δ15NNO3 × [NO3--N]} / [RDN] (‰). δ15NDON = {δ15NTDN × [TDN] – δ15NNO3- × [NO3−] – δ15NNH4+ × [NH4+]} / [DON] (‰). S7 Notes S2 Additional results of characteristics of soils under mosses. The pH of substrate soils did not differ between epilithic (6.5) and terricolous mosses (6.2) in open fields, but moss soils in pine forests had a significantly lower pH (5.6), with the lowest value in the urban area (Table S1). The C of moss soils (3.2 – 13.1%) showed the highest and lowest concentrations in organic soil layers of epilithic mosses and soils in pine forests, respectively. The bulk N of moss soils (0.3 – 0.7%) decreased along the urban-rural gradient except of that in pine forests which had the lowest N level (Table S1). Net nitrification and mineralization rates of moss substrate soils had a range of 0.1 – 1.2 mg-N kg-1 day-1 and 0.3 – 5.4 mg-N kg-1 day-1, respectively, showing a decrease from the urban to rural sites (Table S1). Soils of epilthic mosses showed higher net N rates than those of terricolous mosses. Soils in pine forests had the lowest net nitrification rates (0.1 – 0.3 mg-N kg-1 day-1) and magnitudes of nitrification (5 – 10%) (Table S1). A positive correlation was observed between soil net N rates and pH values (P < 0.01) (Table S2). Notes S3 Additional results of calculations of the deposited RDN and substrate RDN contributions to moss bulk N The contributions of soil RDN (fsoil-RDN) and wet-deposited RDN (fatm-RDN) to N in mosses on soils (Nmoss-soil) could also be estimated by the two-source mixing model: δ15Nmoss-soil = fsoil-RDN × δ15Nsoil-RDN + fatm-RDN × δ15Natm-RDN. (Eqn. S1) Since fsoil-RDN + fatm-RDN = 1 and δ15Natm-RDN = -7.5‰ (Table S1), the Eqn. S1 can be simplified to: fsoil-RDN = [(δ15Nmoss + 7.5) / (δ15Nsoil-RDN + 7.5)] × 100, (Eqn. S2) The results showed that the fsoil-RDN averaged 30 ± 14% (Fig. S2). Moreover, the fsoil-RDN in mosses showed a pattern being opposite with that of N deposition level. The lowest fsoil-RDN (10 ± 15%) was observed for urban epilithic mosses where N deposition was high although urban substrates also had high N availability. In contrast, the highest fsoil-RDN (46 ± 10%) was found in rural forest mosses with low N deposition and soil N availability. References: Casciotti KL, Sigman DM, Hasting GM, Böhlke JK, Hilkert A. 2002. Measurement of the oxygen isotopic composition of nitrate in seawater and freshwater using the denitrifier method. Analytical Chemistry 74: 4905–4912. Koba K, Inagaki K, Sasaki Y, Takebayashi Y, Yoh M. 2010a. Nitrogen isotopic analysis of dissolved inorganic and organic nitrogen in soil extracts. In: Ohkouchi, N., Tayasu, I, Koba, K. eds. Earth, Life and Isotopes, Kyoto University Press, 17–37. Koba K, Isobe K, Takebayashi Y, Fang YT, Sasaki Y, Saito W, Yoh M, Mo JM, Liu L, Lu XK, Zhang T, Zhang W, Senoo K. 2010b. δ15N of soil N and plants in a N-saturated, subtropical forest of southern China. Rapid Communication of Mass Spectrometry 24: 2499–2506. Koba K, Fang YT, Mo JM, Zhang W, Lu XK, Liu L, Zhang T, Takebayashi Y, Toyoda S, Yoshida N, Suzuki K, Yoh M, Senoo K. 2012. 15N natural abundance of the N lost from an S8 N-saturated subtropical forest in southern China. Journal of Geophysical Research-Biogeosciences 117: G02015. Li J, Fang YT, Yoh M, Wang XM, Wu ZY, Kuang YW, Wen DZ. 2012. Organic nitrogen deposition in precipitation in metropolitan Guangzhou city of southern China. Atmospheric Research 113: 57–67. Liu XY, Koba K, Liu CQ, Li XD, Yoh M. 2012. Pitfalls and new mechanisms in moss isotopic bio-monitoring of atmospheric nitrogen deposition. Environmental Sciences and Technology 46: 12557–12566. 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