About the Authors:
Bing Song
Affiliations State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing, China, Graduate School of Chinese Academy of Sciences, Yuquanlu, Beijing, China
Shuli Niu
* E-mail: [email protected]
Affiliation: State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing, China
Zhe Zhang
Affiliations State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing, China, Graduate School of Chinese Academy of Sciences, Yuquanlu, Beijing, China
Haijun Yang
Affiliations State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing, China, Graduate School of Chinese Academy of Sciences, Yuquanlu, Beijing, China
Linghao Li
Affiliation: State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing, China
Shiqiang Wan
Affiliation: Key Laboratory of Plant Stress Biology, College of Life Sciences, Henan University, Kaifeng, Henan, China
Introduction
As atmospheric CO2 concentrations are rising, global temperature has increased and will continue to increase in the future [1]. Simultaneously, changes in global and regional precipitation regimes are expected [2], [3]. The climate change could profoundly affect ecosystem carbon (C) and nitrogen (N) cycles, with consequent increase or decrease in soil C and N storage and negative or positive feedback to climate change. Global soils contain 1500 Pg (1Pg = 1015 g) of organic carbon in the top soil layer to the depth of 1 m, which is more than the amounts of C in the atmosphere and vegetation combined [4], [5]. Even slight change in the amount of soil C may dramatically influence atmospheric CO2 concentration [6]. The stocks of soil C result from the balance between carbon inputs and outputs. Therefore, any factors impacting carbon inputs (net primary productivity) and outputs (dominated by soil respiration) could change the quantity of organic carbon in soils [7].
Soils contain thousands of different organic-C compounds which have mean residence times ranging from years to millennia [7], [8]. Soil organic carbon (SOC) is usually divided into labile C with a small size and rapid turnover and recalcitrant C with a large size but slow turnover. Generally, it is difficult to detect significant changes in soil total C and N contents because of their high background values and great heterogeneity of soils [9]. However, separating soil carbon into different physical or chemical components and then examining their individual responses to climate change is a useful way to detect signals in soil carbon changes [7]. For example, soil labile C was documented to be more sensitive to alterations in moisture, temperature and plant species [10] in comparison with recalcitrant C. So, identifying the fractions of soil organic matter (SOM) into different pools and quantitatively analyzing these pools changes are critical for better understanding C and N dynamics and their responses to climate change.
Previous studies have documented that SOC contents would decrease greatly with global warming [11], [12], [13], and increase [5], [14] or stay constant [15] with precipitation change, but how labile and recalcitrant soil organic C respond to climate change remains unclear. The key issue whether soil labile C and recalcitrant C respond differently to temperature change is still in debate [16], [17], [18]. In particular, there is lack of field experimental evidence on the responses of soil labile and recalcitrant C to climate change [19].
Grassland soil represents an important global C reservoir, and stores as much as 20% of global soil C [5]. Thus, the response of grassland soil C to climate change will be an important component of the global soil C feedback to climate change. Here we designed a field experiment manipulating temperature and precipitation changes in a semiarid steppe, which has been conducted for 6 years since April 2005, to examine the influence of climate change on labile and recalcitrant fractions of soil carbon and nitrogen. Previous studies in this field experiment have shown that the gross ecosystem productivity (GEP) and soil respiration (SR) of this steppe ecosystem were both decreased by warming and enhanced by increased precipitation [20], [21]. However, the reduction in GEP by warming was greater than that in SR, and the stimulation in GEP was greater than that in SR under increased precipitation. Thus, we hypothesize that soil carbon will change due to shifts of the balance between carbon gains and carbon losses. The specific objectives of this study were to evaluate (1) how labile and recalcitrant fractions of soil carbon and nitrogen respond to climate warming and increased precipitation, and (2) what factors or processes determine the variations in soil carbon fractions in the context of climate change.
Materials and Methods
Study site
The study site is located in a semiarid temperate steppe in Duolun County (42°02′N, 116°17′E, 1324 m a.s.l.), Inner Mongolia, China. Mean annual precipitation is 382.3 mm with approximately 90% occurring in the growing season from May to October. Mean annual temperature is 2.1°C with monthly mean temperature ranging from −17.5°C in January to 18.9°C in July. Dominant species in this grassland are Stipa krylovii Roshev., Artemisia frigida Willd, Potentilla acaulis L., Agropyron cristatum (L.) Gaertn, Cleistogenes squarrosa (Trin.) Keng and Allium bidentatum Fisch. ex Prokh. [20]. The soil in the study site is a chestnut soil according to the Chinese classification or Haplic Calcisol according to the FAO classification, with 62.75±0.04% sand, 20.30±0.01% silt and 16.95±0.01% clay. Soil bulk density and pH are 1.31±0.02 g cm−3 and 7.34, respectively.
Experimental design
The experiment has received the permit for the field study from the land owner, Institute of Botany, the Chinese Academy of Sciences. The experiment used a nested design, with increased precipitation manipulated at the plot level and warming manipulated at the subplot level. There were three blocks with a 44×28 m area. In each block, there were two 10×15 m plots. One plot was assigned as the increased precipitation treatment and the other as the control. Six sprinklers were evenly arranged into two rows in each of the increased precipitation treatment plots. In July and August, 15 mm of water was added weekly to the increased precipitation treatment plots. Thus, a total of 120 mm precipitation was supplied each year.
Within each 10×15 m plot, four 3×4 m subplots with two warmed subplots and two control subplots were arranged randomly. In the warmed subplot, a 1.65×0.15 m MSR-2420 infrared radiant heater (Kalglo Electronics Inc., Bethlehem, PA, USA) that was suspended 2.5 m above the ground had heated the subplot continuously since April 28, 2005. A previous study by Niu et al. has documented that experimental warming elevated soil temperature at 10 cm depth by 1.17°C [22]. In the control subplot, a “dummy” heater with the same shape and size as the infrared radiator was suspended at the same height to simulate the shading effect of the heater. Therefore, the experimental design consisted of 24 subplots with six replicates for four treatments (control, warming, increased precipitation, and warming plus increased precipitation).
Soil sampling and measurements
Soil samples were collected from the topsoil (0–10 cm) of all the 24 subplots on August 29, 2010. Two soil cores (6 cm in diameter and 10 cm in depth) were taken from each subplot, and then completely mixed to one fresh sample. Each soil sample was divided into two parts after sieving by a 2 mm mesh and removing any visible plant materials. One part of each sample was stored in iceboxes and transported to the laboratory for microbial analysis, and the other part was air-dried for chemical analysis.
Soil microbial biomass C (MBC) and N (MBN) were determined using the chloroform fumigation-extraction method [23]. Briefly, fresh soil samples were adjusted to 60–70% of field water-holding capacity and incubated for 1 week at 25°C. After that parts of each moist soil sample (30 g) were fumigated for 24 h by ethanol-free CHCl3. The remainders (30 g) were used as non-fumigated controls. Both the fumigated and non-fumigated samples were extracted with 75 ml of 0.5 M K2SO4 for 30 min on a shaker. The extracts were filtered through 0.45 µm filters and determined for extracted C by potassium dichromate-bitriol oxidation method [23] and N by Kjeldahl digestion [24]. MBC and MBN were calculated from the differences between extracted C and N contents in the fumigated and non-fumigated samples using conversion factors of 0.38 [25] and 0.45 [24], respectively. And the extracted C in non-fumigated samples was considered as soil dissolved organic C (DOC).
Soil total C and N were measured by a CHNOS elemental analyzer (vario El III, Elementar Analysensysteme GmbH, Hanau, Germany) after the air-dried samples were ground finely.
In this study, we separated soil labile and recalcitrant fractions of SOM by density fractionation which is one of physical fractionation methods used widely [26]. The light fractions with low density (<1.7 g cm−3) are partly decayed plant and animal products, while heavy fractions with high density (>1.7 g cm−3) referred to humic substance which are generally mineral associated [27], [28]. Specifically, 15 g air-dried soil was placed in a centrifuge tube and added 50 ml of NaI solution with a density of 1.7 g cm−3. The tubes were shaken on a shaker for 30 min, and then centrifuged at 3000 rpm for 10 min. The floating light fraction was sucked on a fiberglass filter in a Büchner funnel. This process was repeated twice in order to separate the light and heavy fractions totally. After that, the material remaining at the bottom of the tube (the heavy fraction) was added 50 ml of deionized water, shaken and centrifuged for three times to wash. The light fraction was washed with 50 ml of 0.01 M CaCl2 and then 50 ml of deionized water. Both the light fraction and heavy fraction were dried at 60°C for 48 h, weighed and ground to determine the C and N contents using a CHNOS elemental analyzer (vario El III, Elementar Analysensysteme GmbH, Hanau, Germany).
Statistical analysis
Three-way ANOVA for a blocked nested design was used to test the effects of block, warming and increased precipitation on all measured variables. Linear regression analyses were used to evaluate relationships between soil labile fractions (light fraction C and N, microbial biomass C and N, and dissolved organic C) and gross ecosystem productivity (GEP), ecosystem respiration (ER) and soil respiration (SR). The value of GEP, ER or SR was the yearly mean value from 2005 to 2009. The effects were considered to be significantly different if p<0.05. All statistical analyses were conducted with SAS V.8.1 software (SAS Institute Inc., Cary, NC, USA).
Results
Total C and N in soil
Soil total C content (TC) was 18.48±1.82 g C kg−1 dry soil and total N content (TN) was 1.88±0.14 g N kg−1 dry soil (Fig. 1a). Neither warming nor increased precipitation had significant effects on TC or TN after six years of treatments (Table 1, Fig. 1a). The interactive effects of warming and increased precipitation on TC and TN were also not statistically significant (Table 1).
[Figure omitted. See PDF.]
Figure 1. Effects of warming and increased precipitation on soil total C and N (TC, TN) (a), light fraction C and N (LFC, LFN) (b), heavy fraction C and N (HFC, HFN) (c), LFC∶HFC ratio and LFN∶HFN ratio (d) (means ± SE).
C, control; W, warming; P, increased precipitation; WP, warming plus increased precipitation.
https://doi.org/10.1371/journal.pone.0033217.g001
[Figure omitted. See PDF.]
Table 1. Results (F and p values) of three-way ANOVA on the effects of block (B), warming (W), increased precipitation (P) and their interaction on measured soil variables.
https://doi.org/10.1371/journal.pone.0033217.t001
Light and heavy fraction C and N
Heavy fraction C (HFC) and N (HFN) accounted for 84.3% and 89.2% of TC and TN, respectively, in the control plots (Fig. 1). Increased precipitation significantly increased light fraction C (LFC) and N (LFN) by 16.1% and 18.5%, respectively (Table 1, Fig. 1b). The overall warming effects were marginally significant on LFC (p = 0.07, Table 1) but insignificant on LFN (p = 0.16, Table 1). For example, LFC changed from 3.03±0.32 g C kg−1 dry soil in the control plots to 2.66±0.20 g C kg−1 dry soil in the warmed plots with ambient precipitation. The interactions between warming and increased precipitation had no significant impacts on LFC and LFN. Neither HFC nor HFN were changed by warming or increased precipitation (Table 1, Fig. 1c).
The ratio of LFC to HFC (LFC∶HFC) was significantly enhanced from 0.18 in the control plots to 0.23 in the increased precipitation plots across both warmed and unwarmed plots. Similarly, ratio of LFN to HFN (LFN∶HFN) was enhanced from 0.12 in the control plots to 0.15 in the increased precipitation plots (Table 1, Fig. 1d).
Soil C to N ratios
Total soil C∶N ratio (TC∶TN) was 9.74±0.29 in the control plots (Fig. 2). Warming significantly decreased TC∶TN ratio from 9.90±0.10 in the control plots to 9.40±0.14 in the warmed plots across both ambient and increased precipitation treatments. C∶N ratio of heavy fraction (HFC∶HFN) was also decreased from 8.96±0.13 to 8.54±0.13 by warming (Table 2, Fig. 2). Nevertheless, warming did not significantly change C∶N ratio of light fraction (LFC∶LFN) which was 13.81±0.20 in the control plots (Table 2, Fig. 2). Increased precipitation or its interaction with experimental warming had no impacts on any of these variables (Table 2).
[Figure omitted. See PDF.]
Figure 2. Effects of warming and increased precipitation on ratios of soil C∶N (TC∶TN), light fraction C∶N (LFC∶LFN) and heavy fraction C∶N (HFC∶HFN) (mean ± SE).
See Fig. 1 for abbreviations.
https://doi.org/10.1371/journal.pone.0033217.g002
[Figure omitted. See PDF.]
Table 2. Results (F and p values) of three-way ANOVA on the effects of block (B), warming (W), increased precipitation (P) and their interaction on soil C∶N ratios, MBC, MBN and DOC.
https://doi.org/10.1371/journal.pone.0033217.t002
Soil microbial biomass C and N and dissolved organic C
The main effects of warming significantly reduced soil microbial biomass C (MBC) by 12.6% (Table 2, Fig. 3). However, there were no effects of increased precipitation or its interaction with warming on MBC. Soil microbial biomass N (MBN) was not changed by any treatments (Table 2, Fig. 3).
[Figure omitted. See PDF.]
Figure 3. Effects of warming and increased precipitation on soil microbial biomass C and N (MBC, MBN) and soil dissolved organic C (DOC) (means ± SE).
See Fig. 1 for abbreviations.
https://doi.org/10.1371/journal.pone.0033217.g003
Soil dissolved organic C was decreased from 38.08±5.75 mg kg−1 in the control plots to 27.78±2.92 mg kg−1 in the warmed plots across the ambient and increased precipitation treatments (Table 2, Fig. 3). Neither increased precipitation nor its interaction with warming had significant effects on DOC (Table 2, Fig. 3).
Relationships between carbon fluxes and soil C or N fractions
Across all the 24 subplots, LFC showed a positive relationship with the yearly mean values of GEP (R2 = 0.26, p = 0.01; Fig. 4a), ER (R2 = 0.39, p<0.01; Fig. 5a) or SR (R2 = 0.42, p<0.01; Fig. 5b). Similarly, LFN showed a positive linear correlation with GEP (R2 = 0.28, p<0.01; Fig. 4b), ER (R2 = 0.42, p<0.01; Fig. 5c) or SR (R2 = 0.44, p<0.01; Fig. 5d). Moreover, MBC and DOC, also showed positive linear correlations with GEP, ER and SR, except that DOC had no significant correlation with GEP (p>0.05; Fig. 4, Fig. 6). No significant relationship of soil light or heavy fraction C or N was found with soil temperature or moisture across the 24 subplots (p>0.05).
[Figure omitted. See PDF.]
Figure 4. Linear correlations between GEP and light fraction C (a) or N (b), MBC (c) and DOC (d) across all the 24 subplots.
GEP, gross ecosystem productivity, whose values were the yearly mean values from 2005 to 2009.
https://doi.org/10.1371/journal.pone.0033217.g004
[Figure omitted. See PDF.]
Figure 5. Linear correlations between carbon flux (ER or SR) and light fraction C (a, b) or N (c, d) across all the 24 subplots.
ER, ecosystem respiration; SR, soil respiration. The values of ER and SR were the yearly mean values from 2005 to 2009.
https://doi.org/10.1371/journal.pone.0033217.g005
[Figure omitted. See PDF.]
Figure 6. Linear correlations between carbon flux (ER or SR) and MBC (a, b) or DOC (c, d) across all the 24 subplots.
ER, ecosystem respiration; SR, soil respiration; MBC, microbial biomass C; DOC, soil dissolved organic C. The values of ER and SR were the yearly mean values from 2005 to 2009.
https://doi.org/10.1371/journal.pone.0033217.g006
Discussion
Positive effects of increased precipitation on soil light fraction
Although density fractionation has some uncertainties, such as black carbon issue [26], [29] and potential deficiency in operation [29], it has been widely used for more than 50 years and is well documented to be an effective way for assessing light and heavy pools of SOM that are differently sensitive to environmental changes [29]. As predicted, increased precipitation enhanced soil light fraction C and N in this study (Fig. 1b). The light fraction is a short-term reservoir of plant nutrients and the primary fraction for soil carbon formation, and serves as a readily decomposable substrate for soil microorganisms [10], [30]. Its size is a balance between residue inputs and decomposition [31]. Increased precipitation could stimulate plant growth, leading to more carbon inputs to soil. On the other hand, increased precipitation may directly enhance soil microbial activities and accelerate soil carbon decomposition, inducing more carbon losses from soil. Although increased precipitation could indirectly suppress plant growth and soil microbial activities via reducing soil temperature, in this temperate steppe where water availability plays a dominant role, the positive effects of increased precipitation were much stronger than the indirectly negative effects via reducing soil temperature [21]. In this study, light fraction showed a positive linear correlation with gross ecosystem production (GEP) (Fig. 4) and soil respiration (SR) (Fig. 5). Though both GEP and SR were enhanced by increased precipitation, the stimulation of GEP was greater than that of SR [20], [21]. In addition, plant root production was also improved by increased precipitation [32]. These imply that increased precipitation has resulted in greater substrate inputs to soil than carbon outputs from soil, leading to the positive effects of increased precipitation on soil light fraction C and N.
Soil microbial biomass carbon (MBC) and dissolved organic carbon (DOC) are vital components of ecosystem carbon cycling, which have relatively rapid turnover rate and sever as a source or a sink of labile nutrients. In our study, MBC and DOC were not changed by increased precipitation (Fig. 3), which is consistent with some previous studies [33], but not in accordance with some others [21], [34], [35], [36]. Since microbial biomass and activity are sensitive to changes in soil microenvironment [37], [38], the responses of MBC to increased precipitation can be rapid but short-lived [39]. As we sampled soil in late August when water addition treatment was over, the response of MBC to increased precipitation would not be detected. Another possible reason is that soil temperature in the increased precipitation plots (18.60°C) was markedly lower than that in the control plots (22.65°C) in late August, 2010. Lower soil temperature would constrain microbial activity and growth, which partly compensate the directly positive effect of increased precipitation, leading to little change in MBC.
Negative effects of experimental warming on soil light fraction
The finding that soil light fraction C was decreased by experimental warming is in accordance with a previous study, in which soil labile C and N were reduced by warming in two forest ecosystems [40]. However, another experiment conducted in a tallgrass prairie showed that experimental warming increased soil labile C and N contents [19]. The discrepancy between our result and the above-mentioned result could be explained by the different controlling factors of C fluxes in different ecosystems. In the tallgrass prairie ecosystem where water is not as limited as in our arid ecosystem, experimental warming could directly stimulate plant growth and microbial activity. The enhancement of above- and below-ground biomass by warming was greater than the stimulation of soil respiration [41], so labile C and N fractions were increased as a result of higher substrate inputs in the tallgrass prairie. However, in the semiarid ecosystem where water availability is the predominate limiting factor [20], warming can exacerbate the dry condition. The negatively indirect warming effect by reducing soil moisture is much stronger than the positively direct effect of improving temperature on ecosystem C fluxes. Previous studies conducted in the same experiment have showed that GEP, ecosystem respiration (ER) [20], SR [21], and plant root production [32] were all reduced by warming. Because light fraction C or N depends on both GEP (Fig. 4) and ER (Fig. 5), more reductions in GEP than those in ER and SR [21] leads to the decrease of light fraction C in soil. There were similar impacts on soil microbial biomass C (MBC) and soil dissolved organic C (DOC). The positive linear relationships between soil MBC and DOC with GEP, ER and SR (Fig. 4, Fig. 6) suggest that the decreases in MBC and DOC are partly due to the decrease in substrate inputs under warming (Fig. 4). This is consistent with a previous study which documented that DOC was positively related to the amount of organic matter inputs [42]. So, we conclude that greater reductions in C gains relative to C losses under climate warming decreased soil light fraction C, MBC and DOC.
Warming decreased total soil C∶N ratio and the C∶N ratio of heavy fraction (Fig. 2), which suggests that soil heavy fraction C has the potential to be decomposed more under warming than in control. Previous studies have documented that soil microbial community structure will change under warming and that the microorganisms preferring more recalcitrant carbon could establish as temperature increases [43]. This means that soil heavy fraction carbon could be preferentially respired by microbes under warming. The decreases of total soil C∶N ratio and heavy fraction C∶N ratio under experimental warming implies that, as global temperature increases, soil heavy fraction C which constitutes the majority of soil carbon may potentially induce increasing C emissions from soil to the atmosphere.
Although it is assumed that abiotic factors associated with climate change may interact to affect ecosystem carbon cycling, there were no significant interactive effects between warming and increased precipitation on soil light fractions of C and N. This is probably due to that 30% increase of precipitation is not enough to alleviate water limitation and to change the negative warming effects. The insignificant interactions between warming and increased precipitation were also reported in previous studies on soil respiration [44], [45] and above-ground biomass production [46].
Changes in soil total and heavy fraction C and N
Because of the large pool size, significant change in soil total C content in response to climate change is usually difficult to detect in a short time. In the present study, we did not detect significant changes in soil total C or N contents even after 6 years' treatment of experimental warming or increased precipitation (Fig. 1a). Soil heavy fraction C and N, which account for approximately 85% of total C or N, were not affected by either experimental warming or increased precipitation (Fig. 1c). The results are consistent with previous studies which found that soil mineral C did not change after 13 years of increased rainfall [47] and that soil recalcitrant C were not influenced by experimental warming [19], [40]. These indicate that soil heavy fraction C is relative stable to climate change [16], [48].
In conclusion, although soil total carbon and heavy fraction carbon were not affected by increased precipitation or warming, soil light fraction carbon was significantly increased by water addition and decreased by experimental warming after 6 years of treatments in a semiarid temperate steppe. The changes in soil labile C and N were primarily due to the different responses of carbon uptake and release rather than the changes in environmental conditions under treatments. The sensitive responses of soil light fraction C and N, microbial biomass C, and dissolved organic C to climate change indicate that climate warming and increased precipitation may impact carbon cycling by changing certain fractions of soil organic matter. Models should take into account of the fractions of soil organic matter to more accurately predict ecosystem's response and feedback to climate change.
Acknowledgments
The study was conducted as part of a comprehensive research project (Global Change Multifactor Experiment – Duolun) sponsored by Institute of Botany, Chinese Academy of Sciences. The authors thank Naili Zhang, Changhui Wang, Weixing Liu and Wendong Zhang for their help in instrument support and laboratory analysis. We thank the staff of Duolun Restoration Ecology Experimentation and Demonstration Station.
Author Contributions
Conceived and designed the experiments: BS SN LL SW. Performed the experiments: BS SN ZZ HY. Analyzed the data: BS. Wrote the paper: BS SN.
Citation: Song B, Niu S, Zhang Z, Yang H, Li L, Wan S (2012) Light and Heavy Fractions of Soil Organic Matter in Response to Climate Warming and Increased Precipitation in a Temperate Steppe. PLoS ONE7(3): e33217. https://doi.org/10.1371/journal.pone.0033217
1. IPCC (2007) Climatic Change 2007: The Physical Science Basis. Cambridge, UK: Cambridge University Press. IPCC2007Climatic Change 2007: The Physical Science BasisCambridge, UKCambridge University Press
2. Min SK, Zhang XB, Zwiers FW, Hegerl GC (2011) Human contribution to more-intense precipitation extremes. Nature 470: 376–379.SK MinXB ZhangFW ZwiersGC Hegerl2011Human contribution to more-intense precipitation extremes.Nature470376379
3. Dore MHI (2005) Climate change and changes in global precipitation patterns: What do we know? Environment International 31: 1167–1181.MHI Dore2005Climate change and changes in global precipitation patterns: What do we know?Environment International3111671181
4. Schlesinger WH (1997) Biogeochemistry: An Analysis of Global Change. San Diego, USA: Academic Press. WH Schlesinger1997Biogeochemistry: An Analysis of Global ChangeSan Diego, USAAcademic Press
5. Jobbagy EG, Jackson RB (2000) The vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecological Applications 10: 423–436.EG JobbagyRB Jackson2000The vertical distribution of soil organic carbon and its relation to climate and vegetation.Ecological Applications10423436
6. Raich JW, Potter CS (1995) Global Patterns of Carbon-Dioxide Emissions from Soils. Global Biogeochemical Cycles 9: 23–36.JW RaichCS Potter1995Global Patterns of Carbon-Dioxide Emissions from Soils.Global Biogeochemical Cycles92336
7. Davidson EA, Janssens IA (2006) Temperature sensitivity of soil carbon decomposition and feedbacks to climate change. Nature 440: 165–173.EA DavidsonIA Janssens2006Temperature sensitivity of soil carbon decomposition and feedbacks to climate change.Nature440165173
8. Schmidt MWI, Torn MS, Abiven S, Dittmar T, Guggenberger G, et al. (2011) Persistence of soil organic matter as an ecosystem property. Nature 478: 49–56.MWI SchmidtMS TornS. AbivenT. DittmarG. Guggenberger2011Persistence of soil organic matter as an ecosystem property.Nature4784956
9. Goidts E, van Wesemael B (2007) Regional assessment of soil organic carbon changes under agriculture in Southern Belgium (1955–2005). Geoderma 141: 341–354.E. GoidtsB. van Wesemael2007Regional assessment of soil organic carbon changes under agriculture in Southern Belgium (1955–2005).Geoderma141341354
10. Neff JC, Townsend AR, Gleixner G, Lehman SJ, Turnbull J, et al. (2002) Variable effects of nitrogen additions on the stability and turnover of soil carbon. Nature 419: 915–917.JC NeffAR TownsendG. GleixnerSJ LehmanJ. Turnbull2002Variable effects of nitrogen additions on the stability and turnover of soil carbon.Nature419915917
11. Kirschbaum MUF (1995) The Temperature-Dependence of Soil Organic-Matter Decomposition, and the Effect of Global Warming on Soil Organic-C Storage. Soil Biology & Biochemistry 27: 753–760.MUF Kirschbaum1995The Temperature-Dependence of Soil Organic-Matter Decomposition, and the Effect of Global Warming on Soil Organic-C Storage.Soil Biology & Biochemistry27753760
12. Kirschbaum MUF (2000) Will changes in soil organic carbon act as a positive or negative feedback on global warming? Biogeochemistry 48: 21–51.MUF Kirschbaum2000Will changes in soil organic carbon act as a positive or negative feedback on global warming?Biogeochemistry482151
13. Lal R (2004) Soil carbon sequestration to mitigate climate change. Geoderma 123: 1–22.R. Lal2004Soil carbon sequestration to mitigate climate change.Geoderma123122
14. Zhou G, Wang Y, Wang S (2002) Responses of grassland ecosystems to precipitation and land use along the Northeast China Transect. Journal of Vegetation Science 13: 361–368.G. ZhouY. WangS. Wang2002Responses of grassland ecosystems to precipitation and land use along the Northeast China Transect.Journal of Vegetation Science13361368
15. Zhou XH, Talley M, Luo YQ (2009) Biomass, Litter, and Soil Respiration Along a Precipitation Gradient in Southern Great Plains, USA. Ecosystems 12: 1369–1380.XH ZhouM. TalleyYQ Luo2009Biomass, Litter, and Soil Respiration Along a Precipitation Gradient in Southern Great Plains, USA.Ecosystems1213691380
16. Giardina CP, Ryan MG (2000) Evidence that decomposition rates of organic carbon in mineral soil do not vary with temperature. Nature 404: 858–861.CP GiardinaMG Ryan2000Evidence that decomposition rates of organic carbon in mineral soil do not vary with temperature.Nature404858861
17. Fang CM, Smith P, Moncrieff JB, Smith JU (2005) Similar response of labile and resistant soil organic matter pools to changes in temperature. Nature 433: 57–59.CM FangP. SmithJB MoncrieffJU Smith2005Similar response of labile and resistant soil organic matter pools to changes in temperature.Nature4335759
18. Knorr W, Prentice IC, House JI, Holland EA (2005) Long-term sensitivity of soil carbon turnover to warming. Nature 433: 298–301.W. KnorrIC PrenticeJI HouseEA Holland2005Long-term sensitivity of soil carbon turnover to warming.Nature433298301
19. Belay-Tedla A, Zhou XH, Su B, Wan SQ, Luo YQ (2009) Labile, recalcitrant, and microbial carbon and nitrogen pools of a tallgrass prairie soil in the US Great Plains subjected to experimental warming and clipping. Soil Biology & Biochemistry 41: 110–116.A. Belay-TedlaXH ZhouB. SuSQ WanYQ Luo2009Labile, recalcitrant, and microbial carbon and nitrogen pools of a tallgrass prairie soil in the US Great Plains subjected to experimental warming and clipping.Soil Biology & Biochemistry41110116
20. Niu SL, Wu MY, Han Y, Xia JY, Li LH, et al. (2008) Water-mediated responses of ecosystem carbon fluxes to climatic change in a temperate steppe. New Phytologist 177: 209–219.SL NiuMY WuY. HanJY XiaLH Li2008Water-mediated responses of ecosystem carbon fluxes to climatic change in a temperate steppe.New Phytologist177209219
21. Liu WX, Zhang Z, Wan SQ (2009) Predominant role of water in regulating soil and microbial respiration and their responses to climate change in a semiarid grassland. Global Change Biology 15: 184–195.WX LiuZ. ZhangSQ Wan2009Predominant role of water in regulating soil and microbial respiration and their responses to climate change in a semiarid grassland.Global Change Biology15184195
22. Niu SL, Xing XR, Zhang Z, Xia JY, Zhou XH, et al. (2011) Water-use efficiency in response to climate change: from leaf to ecosystem in a temperate steppe. Global Change Biology 17: 1073–1082.SL NiuXR XingZ. ZhangJY XiaXH Zhou2011Water-use efficiency in response to climate change: from leaf to ecosystem in a temperate steppe.Global Change Biology1710731082
23. Vance ED, Brookes PC, Jenkinson DS (1987) An Extraction Method for Measuring Soil Microbial Biomass-C. Soil Biology & Biochemistry 19: 703–707.ED VancePC BrookesDS Jenkinson1987An Extraction Method for Measuring Soil Microbial Biomass-C.Soil Biology & Biochemistry19703707
24. Brookes PC, Landman A, Pruden G, Jenkinson DS (1985) Chloroform Fumigation and the Release of Soil-Nitrogen - a Rapid Direct Extraction Method to Measure Microbial Biomass Nitrogen in Soil. Soil Biology & Biochemistry 17: 837–842.PC BrookesA. LandmanG. PrudenDS Jenkinson1985Chloroform Fumigation and the Release of Soil-Nitrogen - a Rapid Direct Extraction Method to Measure Microbial Biomass Nitrogen in Soil.Soil Biology & Biochemistry17837842
25. Ocio JA, Brookes PC (1990) Soil Microbial Biomass Measurements in Sieved and Unsieved Soil. Soil Biology & Biochemistry 22: 999–1000.JA OcioPC Brookes1990Soil Microbial Biomass Measurements in Sieved and Unsieved Soil.Soil Biology & Biochemistry229991000
26. von Lutzowa M, Kogel-Knabner I, Ekschmittb K, Flessa H, Guggenberger G, et al. (2007) SOM fractionation methods: Relevance to functional pools and to stabilization mechanisms. Soil Biology & Biochemistry 39: 2183–2207.M. von LutzowaI. Kogel-KnabnerK. EkschmittbH. FlessaG. Guggenberger2007SOM fractionation methods: Relevance to functional pools and to stabilization mechanisms.Soil Biology & Biochemistry3921832207
27. Six J, Elliott ET, Paustian K, Doran JW (1998) Aggregation and soil organic matter accumulation in cultivated and native grassland soils. Soil Science Society of America Journal 62: 1367–1377.J. SixET ElliottK. PaustianJW Doran1998Aggregation and soil organic matter accumulation in cultivated and native grassland soils.Soil Science Society of America Journal6213671377
28. Aanderud ZT, Richards JH, Svejcar T, James JJ (2010) A Shift in Seasonal Rainfall Reduces Soil Organic Carbon Storage in a Cold Desert. Ecosystems 13: 673–682.ZT AanderudJH RichardsT. SvejcarJJ James2010A Shift in Seasonal Rainfall Reduces Soil Organic Carbon Storage in a Cold Desert.Ecosystems13673682
29. Crow SE, Swanston CW, Lajtha K, Brooks JR, Keirstead H (2007) Density fractionation of forest soils: methodological questions and interpretation of incubation results and turnover time in an ecosystem context. Biogeochemistry 85: 69–90.SE CrowCW SwanstonK. LajthaJR BrooksH. Keirstead2007Density fractionation of forest soils: methodological questions and interpretation of incubation results and turnover time in an ecosystem context.Biogeochemistry856990
30. Gregorich EG, Carter MR, Angers DA, Monreal CM, Ellert BH (1994) Towards a Minimum Data Set to Assess Soil Organic-Matter Quality in Agricultural Soils. Canadian Journal of Soil Science 74: 367–385.EG GregorichMR CarterDA AngersCM MonrealBH Ellert1994Towards a Minimum Data Set to Assess Soil Organic-Matter Quality in Agricultural Soils.Canadian Journal of Soil Science74367385
31. Gregorich EG, Janzen HH (1996) Storage of soil carbon in the light fraction and macroorganic matter. In: Carter MR, Stewart BA, editors. Structure and Organic Matter Storage in Agricultural Soils. Boca Raton, USA: Lewis Publishers. pp. 167–190.EG GregorichHH Janzen1996Storage of soil carbon in the light fraction and macroorganic matter.MR CarterBA StewartStructure and Organic Matter Storage in Agricultural SoilsBoca Raton, USALewis Publishers167190
32. Bai WM, Wan SQ, Niu SL, Liu WX, Chen QS, et al. (2010) Increased temperature and precipitation interact to affect root production, mortality, and turnover in a temperate steppe: implications for ecosystem C cycling. Global Change Biology 16: 1306–1316.WM BaiSQ WanSL NiuWX LiuQS Chen2010Increased temperature and precipitation interact to affect root production, mortality, and turnover in a temperate steppe: implications for ecosystem C cycling.Global Change Biology1613061316
33. Landesman WJ, Dighton J (2010) Response of soil microbial communities and the production of plant-available nitrogen to a two-year rainfall manipulation in the New Jersey Pinelands. Soil Biology & Biochemistry 42: 1751–1758.WJ LandesmanJ. Dighton2010Response of soil microbial communities and the production of plant-available nitrogen to a two-year rainfall manipulation in the New Jersey Pinelands.Soil Biology & Biochemistry4217511758
34. Bell C, McIntyre N, Cox S, Tissue D, Zak J (2008) Soil microbial responses to temporal variations of moisture and temperature in a Chihuahuan Desert Grassland. Microbial Ecology 56: 153–167.C. BellN. McIntyreS. CoxD. TissueJ. Zak2008Soil microbial responses to temporal variations of moisture and temperature in a Chihuahuan Desert Grassland.Microbial Ecology56153167
35. Sponseller RA (2007) Precipitation pulses and soil CO2 flux in a Sonoran Desert ecosystem. Global Change Biology 13: 426–436.RA Sponseller2007Precipitation pulses and soil CO2 flux in a Sonoran Desert ecosystem.Global Change Biology13426436
36. Yan LM, Chen SP, Huang JH, Lin GH (2011) Water regulated effects of photosynthetic substrate supply on soil respiration in a semiarid steppe. Global Change Biology 17: 1990–2001.LM YanSP ChenJH HuangGH Lin2011Water regulated effects of photosynthetic substrate supply on soil respiration in a semiarid steppe.Global Change Biology1719902001
37. Sparling GP (1992) Ratio of Microbial Biomass Carbon to Soil Organic-Carbon as a Sensitive Indicator of Changes in Soil Organic-Matter. Australian Journal of Soil Research 30: 195–207.GP Sparling1992Ratio of Microbial Biomass Carbon to Soil Organic-Carbon as a Sensitive Indicator of Changes in Soil Organic-Matter.Australian Journal of Soil Research30195207
38. Skopp J, Jawson MD, Doran JW (1990) Steady-State Aerobic Microbial Activity as a Function of Soil-Water Content. Soil Science Society of America Journal 54: 1619–1625.J. SkoppMD JawsonJW Doran1990Steady-State Aerobic Microbial Activity as a Function of Soil-Water Content.Soil Science Society of America Journal5416191625
39. Norton U, Mosier AR, Morgan JA, Derner JD, Ingram LJ, et al. (2008) Moisture pulses, trace gas emissions and soil C and N in cheatgrass and native grass-dominated sagebrush-steppe in Wyoming, USA. Soil Biology & Biochemistry 40: 1421–1431.U. NortonAR MosierJA MorganJD DernerLJ Ingram2008Moisture pulses, trace gas emissions and soil C and N in cheatgrass and native grass-dominated sagebrush-steppe in Wyoming, USA.Soil Biology & Biochemistry4014211431
40. Liu Q, Xu ZF, Wan CA, Xiong P, Tang Z, et al. (2010) Initial responses of soil CO2 efflux and C, N pools to experimental warming in two contrasting forest ecosystems, Eastern Tibetan Plateau, China. Plant and Soil 336: 183–195.Q. LiuZF XuCA WanP. XiongZ. Tang2010Initial responses of soil CO2 efflux and C, N pools to experimental warming in two contrasting forest ecosystems, Eastern Tibetan Plateau, China.Plant and Soil336183195
41. Luo YQ, Sherry R, Zhou XH, Wan SQ (2009) Terrestrial carbon-cycle feedback to climate warming: experimental evidence on plant regulation and impacts of biofuel feedstock harvest. Global Change Biology Bioenergy 1: 62–74.YQ LuoR. SherryXH ZhouSQ Wan2009Terrestrial carbon-cycle feedback to climate warming: experimental evidence on plant regulation and impacts of biofuel feedstock harvest.Global Change Biology Bioenergy16274
42. Kalbitz K, Solinger S, Park JH, Michalzik B, Matzner E (2000) Controls on the dynamics of dissolved organic matter in soils: A review. Soil Science 165: 277–304.K. KalbitzS. SolingerJH ParkB. MichalzikE. Matzner2000Controls on the dynamics of dissolved organic matter in soils: A review.Soil Science165277304
43. Richter A, Biasi C, Rusalimova O, Meyer H, Kaiser C, et al. (2005) Temperature-dependent shift from labile to recalcitrant carbon sources of arctic heterotrophs. Rapid Communications in Mass Spectrometry 19: 1401–1408.A. RichterC. BiasiO. RusalimovaH. MeyerC. Kaiser2005Temperature-dependent shift from labile to recalcitrant carbon sources of arctic heterotrophs.Rapid Communications in Mass Spectrometry1914011408
44. Zhou XH, Sherry RA, An Y, Wallace LL, Luo YQ (2006) Main and interactive effects of warming, clipping, and doubled precipitation on soil CO2 efflux in a grassland ecosystem. Global Biogeochemical Cycles 20: GB1003.XH ZhouRA SherryY. AnLL WallaceYQ Luo2006Main and interactive effects of warming, clipping, and doubled precipitation on soil CO2 efflux in a grassland ecosystem.Global Biogeochemical Cycles20GB1003
45. Wan SQ, Norby RJ, Ledford J, Weltzin JF (2007) Responses of soil respiration to elevated CO2, air warming, and changing soil water availability in a model old-field grassland. Global Change Biology 13: 2411–2424.SQ WanRJ NorbyJ. LedfordJF Weltzin2007Responses of soil respiration to elevated CO2, air warming, and changing soil water availability in a model old-field grassland.Global Change Biology1324112424
46. Sherry RA, Weng E, Arnone JA III, Johnson DW, Schimel DS, et al. (2008) Lagged effects of experimental warming and doubled precipitation on annual and seasonal aboveground biomass production in a tallgrass prairie. Global Change Biology 14: 2923–2936.RA SherryE. WengJA Arnone IIIDW JohnsonDS Schimel2008Lagged effects of experimental warming and doubled precipitation on annual and seasonal aboveground biomass production in a tallgrass prairie.Global Change Biology1429232936
47. Froberg M, Hanson PJ, Todd DE, Johnson DW (2008) Evaluation of effects of sustained decadal precipitation manipulations on soil carbon stocks. Biogeochemistry 89: 151–161.M. FrobergPJ HansonDE ToddDW Johnson2008Evaluation of effects of sustained decadal precipitation manipulations on soil carbon stocks.Biogeochemistry89151161
48. Liski J, Ilvesniemi H, Makela A, Westman CJ (1999) CO2 emissions from soil in response to climatic warming are overestimated - The decomposition of old soil organic matter is tolerant of temperature. Ambio 28: 171–174.J. LiskiH. IlvesniemiA. MakelaCJ Westman1999CO2 emissions from soil in response to climatic warming are overestimated - The decomposition of old soil organic matter is tolerant of temperature.Ambio28171174
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2012 Song et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Soil is one of the most important carbon (C) and nitrogen (N) pools and plays a crucial role in ecosystem C and N cycling. Climate change profoundly affects soil C and N storage via changing C and N inputs and outputs. However, the influences of climate warming and changing precipitation regime on labile and recalcitrant fractions of soil organic C and N remain unclear. Here, we investigated soil labile and recalcitrant C and N under 6 years' treatments of experimental warming and increased precipitation in a temperate steppe in Northern China. We measured soil light fraction C (LFC) and N (LFN), microbial biomass C (MBC) and N (MBN), dissolved organic C (DOC) and heavy fraction C (HFC) and N (HFN). The results showed that increased precipitation significantly stimulated soil LFC and LFN by 16.1% and 18.5%, respectively, and increased LFC∶HFC ratio and LFN∶HFN ratio, suggesting that increased precipitation transferred more soil organic carbon into the quick-decayed carbon pool. Experimental warming reduced soil labile C (LFC, MBC, and DOC). In contrast, soil heavy fraction C and N, and total C and N were not significantly impacted by increased precipitation or warming. Soil labile C significantly correlated with gross ecosystem productivity, ecosystem respiration and soil respiration, but not with soil moisture and temperature, suggesting that biotic processes rather than abiotic factors determine variations in soil labile C. Our results indicate that certain soil carbon fraction is sensitive to climate change in the temperate steppe, which may in turn impact ecosystem carbon fluxes in response and feedback to climate change.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer