Article | Open

Accelerated soil carbon turnover under tree plantations limits soil carbon storage

  • Scientific Reports 6, Article number: 19693 (2016)
  • doi:10.1038/srep19693
  • Download Citation
Received:
Accepted:
Published online:

Abstract

The replacement of native forests by tree plantations is increasingly common globally, especially in tropical and subtropical areas. Improving our understanding of the long-term effects of this replacement on soil organic carbon (SOC) remains paramount for effectively managing ecosystems to mitigate anthropogenic carbon emissions. Meta-analyses imply that native forest replacement usually reduces SOC stocks and may switch the forest from a net sink to a net source of atmospheric carbon. Using a long-term chronosequence during which areas of subtropical native forest were replaced by Chinese fir, we show by direct measurement that plantations have significantly accelerated SOC turnover compared with native forest, an effect that has persisted for almost a century. The immediate stimulation of SOC decomposition was caused by warmer soil before the closure of the plantation’s canopy. Long-term reductions in SOC mean residence times were coupled to litter inputs. Faster SOC decomposition was associated with lower soil microbial carbon use efficiency, which was due to smaller litter inputs and reduced nutrient availabilities. Our results indicate a previously unelucidated control on long-term SOC dynamics in native forests and demonstrate a potential constraint on climate mitigation when such forests are replaced by plantations.

Introduction

Four million hectares of global primary forests have been lost annually since 1990, mostly in tropical and subtropical areas. This loss has coincided with an annual 2% increase in the total area of tree plantations, which now cover over a quarter of a billion hectares of land1. Soils of native old-growth forests have a large carbon (C) storage capacity and can act as net sinks for atmospheric CO22. Soil organic carbon (SOC) comprises three-fourths of all terrestrial C and is a long-term buffer against atmospheric CO2 increases3,4,5. This important role of native forests in terrestrial C storage raises concerns about long-term consequences of their replacement by plantations, though plantations have been advocated as a measure to sequestrate C from the atmosphere and to mitigate future climate change6.

Global-scale meta-analyses7,8 suggested that replacement of native forests by tree plantations has generally reduced SOC stocks by 13–19%, the effect being most serious in the first two decades, although in the tropics, conversion of native forests to plantations has had no significant effect on SOC9. Meta-analyses necessarily include studies spanning diverse sites and species to capture statistical patterns that single studies cannot, but with an acknowledged risk that the mechanisms underlying those patterns can sometimes be obscured9. An additional problem with the soil C data available for meta-analysis is that most measurements are restricted to the first two decades of forest regrowth8; data covering all stages of plantation development are scarce. This hinders our ability to reliably predict the long-term dynamics of soil C during reforestation and to understand their controlling mechanisms.

Mechanistic understanding of the processes regulating soil C storage requires direct measurements of belowground C pools and fluxes. An ecosystem’s SOC stock declines if SOC losses exceed inputs. Inputs are those from vegetation (litter, dead roots) and organic C exuded from roots. Losses occur as mainly respiratory CO2 produced by heterotrophic microbes that decompose SOC, autotrophic respiration, and smaller C fluxes as methane and volatile organics. C inputs generally decrease following conversion of natural forests to plantations: on average, aboveground litterfall and fine-root biomass are respectively 34% and 66% smaller in plantations than in natural forests8. Thus, decreased plant C input could be an important driver of SOC reduction during reforestation. However, the extent to which that reduction is caused by accelerated decomposition of SOC is still unknown.

In situ measurements of the CO2 flux from SOC decomposition (Rm) are difficult since the CO2 produced by that process is usually mixed with fluxes from other pathways, particularly litter decomposition (Rl) and autotrophic respiration by roots and symbionts (Rr). The sum of these three fluxes constitutes the total soil-surface CO2 flux (Rs)10,11. Most studies of soil CO2 production report only Rs, but there is an increasing need to separate Rs into its components to determine the distinct constraints on different pathways of SOC loss12.

In this study, we used a chronosequence of Chinese fir plantations established by successively clearing mixed-species native forests over 88 years (Supplementary Table S1)13. As an important timber species, Chinese fir covers over 12 Mha, almost 11% of the global planted forest area1. We established experimental plots that allowed Rs, Rh and Rm to be measured and Rl derived, and from which SOC residence times and functional aspects of soil microbial activity were estimated. We were therefore able to directly test long-term effects of replacing native forests by plantations on processes controlling the size and dynamics of the SOC pool.

Results

Changes in soil temperature and moisture across the chronosequence

Plantation establishment caused only a transient increase in soil temperature in the first two years following planting, before full canopy closure. Following the removal of the native forest’s canopy, mean soil temperature at 5 cm depth became about 3 oC warmer (Fig. 1a; Supplementary Fig. S1). Development of the Chinese fir canopy within 7 yr of planting restored the soil temperature to that of the native forest. Establishment of the experimental plots generally had no effect on soil temperature (Fig. 1a; Supplementary Fig. S1). Temperature changes were mirrored by changes in soil moisture. Two years after clearance, the soil was drier compared with under native forest, but wetter once the plantation had developed (Fig. 1b; Supplementary Fig. S2). Slightly wetter soil was associated with trenched plots, which is expected because of the absence of the drying effect of transpiration14.

Figure 1: Annual mean soil environmental factors and annual component fluxes of soil respiration across the Chinese fir chronosequence in southern China (from 2- to 88-year-old, native forest (NF) as the control).
Figure 1

(a) Soil temperature at 5 cm depth (T5); (b) soil moisture at the 0-12 cm depth (W12) for the intact (INT), root exclusion (NR), and litter plus root exclusion (NLNR) treatments; and (c) annual CO2 effluxes from decomposition of mineral SOC (Rm), litter decomposition (Rl) and root and rhizosphere respiration (Rr), and (d) their contributions to total annual soil CO2 effluxes. The error bars represent standard errors [n = 3 (plots)]. Data with the same upper-case letters are not significantly different among stands and those with the same lower-case letters are not significantly different among treatments (p > 0.05).

Changes in soil respiration and its partitioning across the chronosequence

Rates of soil-surface CO2 efflux (Rs) generally followed the seasonal patterns of soil temperature (Supplementary Fig. S3), with high rates during summer (from June to August) and low rates during winter (From December to February). Rs varied significantly by stands (p < 0.001), experimental plots (p < 0.001) and stand × experimental plots (p < 0.001) (Supplementary Table S2). There was a dramatic decline of Rs in July 2007 in some stands (e.g., the 2-year stand) (Supplementary Fig. S3), probably as a result of decreasing soil moisture during that period (Supplementary Fig. S2). Rs generally increased exponentially with soil temperature (Supplementary Table S3). Soil moisture varied significantly with Rs only for the intact plots in the native forest and in the 7-yr old stand, and the trenched plots in the 2-yr old stand (Supplementary Table S4).

Partitioning of soil respiration varied significantly between native forest and plantations, with a greater contribution to total CO2 flux by SOC decomposition from plantations relative to the native forest. Rs in native forest and plantations was 737–1457 g C m−2 yr−1, within the range expected for subtropical forests15,16. The CO2 flux from SOC decomposition (Rm) in the 2- and 7-yr old stands (678 and 547 g C m−2 yr−1, respectively) significantly exceeded that in other stands, including native forest (Fig. 1c). Native forest had a higher annual CO2 efflux associated with litter decomposition (Rl), 353 g C m−2 yr−1, than in the 7- and 16-yr old stands. CO2 efflux from rhizosphere respiration (Rr) in native forest was 756 g C m−2 yr−1, up to 8-fold greater than in the Chinese fir stands (Fig. 1c). Translated into percentage contributions to the total soil-surface flux, these data show that in native forest, Rr predominated, contributing 51%, while Rm and Rl each accounted for about 25% (Fig. 1d). Rm contributed almost all of the soil-surface CO2 flux in 2- and 7-yr old plantations and persistently exceeded Rm in the native forest thereafter, Rr and Rl comprising less than 40% of the total (Fig. 1d).

Changes in soil microbial characteristics across the chronosequence

Replacement of native forest by plantations caused a shift from a large, metabolically efficient microbial community to a smaller, less efficient microbial community under plantations. We found that the total microbial biomass C (MBC) in native forest soil was always greater than under Chinese fir, both near the surface and deeper in the profile (Fig. 2a). The proportion of MBC in SOC (qMBC) was 2.3% under native forest, but decreased following planting and never recovered during stand maturation (Fig. 2b). The metabolic quotient of soil microbes (qCO2), was minimal in native forest and trebled in the 2- and 7-yr old stands (Fig. 2c). It decreased and remained steady thereafter, but was always greater than in native forest.

Figure 2: Soil microbial characteristics across the Chinese fir chronosequence in southern China (from 2- to 88-year-old, native forest (NF) as the control):
Figure 2

(a) microbial C concentration (MBC), (b) microbial C quotient (qMBC), and (c) microbial metabolic quotient (qCO2). The error bars represent standard errors [n = 3 (plots)]. Data with the same letters are not significantly different among stands (p > 0.05).

Changes in SOC turnover across the chronosequence

Plantation establishment accelerated SOC turnover immediately after planting, an effect that has persisted for almost a century. SOC mean residence time (τSOC) in native forest was about 30 yr, but in 2- and 7-yr old stands it decreased by over 50% (Fig. 3). Although τSOC increased with stand maturation, it remained persistently shorter under Chinese fir even in the oldest stands.

Figure 3: Mean residence time of SOC (τSOC) across the Chinese fir chronosequence in southern China (from 2- to 88-year-old, native forest (NF) as the control).
Figure 3

The error bars represent standard errors [n = 3 (plots)]. Data with the same letters are not significantly different among stands (p > 0.05).

Long-term responses of soil C turnover were coupled to soil microbial activity and litter inputs, highlighting mechanistic links between resource availability, microbial physiology, and soil C turnover. τSOC was correlated positively with litterfall (R2 = 0.86, n = 6, p = 0.005) and fine-root biomass (R2 = 0.88, n = 7, p = 0.001) (Fig. 4a,b). Conversely, τSOC was correlated negatively with qCO2 (R2 = 0.92, n = 7, p < 0.001) (Fig. 4c). Also, qCO2 was correlated negatively with annual litterfall (R2 = 0.58, n = 6, p = 0.048), and fine-root biomass (R2 = 0.68, n = 7, p = 0.014) (Fig. 4a,b). These correlations indicate that larger organic C inputs are associated with more metabolically efficient soil microbes able to rapidly process labile SOC, leading to greater SOC persistence, features associated with native forests rather than plantations.

Figure 4
Figure 4

Linear regression between (a) fine root biomass (FRB) and mean residence time of SOC (τSOC) (τSOC = 0.045FRB + 9.33, R2 = 0.88, p = 0.001, n = 7), and microbial metabolic quotient (qCO2) (qCO2 = −0.00034FRB + 0.22, R2 = 0.68, p = 0.014, n = 7); between (b) litterfall (LF) and τSOCSOC = 0.058LF + 9.24, R2 = 0.86, p = 0.005, n = 6), and qCO2 (qCO2 = −0.00034LF + 0.20, R2 = 0.58, p = 0.048, n = 6); and between (c) qCO2 and τSOCSOC = −30.5qCO2 + 35.8, R2 = 0.92, p < 0.001, n = 7). The error bars represent standard errors [n = 3 (plots)].

Discussion

These analyses clarify mechanisms by which belowground C storage and dynamics are altered when mixed-species native forests are replaced by single-species tree plantations. Besides the smaller above- and belowground plant inputs, accelerated decomposition of SOC could be the important mechanism causing reduced long-term SOC storage under Chinese fir plantations compared with native forest.

The high CO2 flux from SOC decomposition (Rm) and also the rapid turnover of SOC indicated by its short mean residence time in the 2-year stand reflects the higher soil temperatures that follow forest canopy removal and lack of ground cover. Weakened physical protection of SOC by soil mineral particles and soil aggregates during harvesting, burning, site preparation and management might also stimulate SOC decomposition. However, the enduring effects on SOC turnover are explained by shifts in soil microbial composition and function that are associated with forest conversion17,18,19,20,21.

Soil microbes are responsible for the majority of SOC decomposition and are the key regulators of SOC dynamics22. qCO2 measures the short-term partitioning of microbially assimilated C between biomass production and respiration22. Integrated over decadal timescales, reductions in qCO2 imposed by the replacement of native forest by plantations have had a profound effect on long-term soil C sequestration and soil-atmosphere CO2 exchange23.

The strong correlation between τSOC and qCO2 across the chronosequence indicates the pervasive influence of microbial physiology on soil C processes. The higher qCO2 under the Chinese fir plantations compared with natural forests, a finding that confirms previous reports21,24,25, could indicate changes in substrate utilization patterns by soil microbes, such as increases in maintenance respiration and decreases in microbial C use efficiency. qCO2 varies inversely with soil fungal:bacterial biomass ratio26, so the changes in soil microbial metabolism accompanying forest conversion that we found are likely to be associated with shifts in microbial community composition, especially with decreased abundance and diversity of soil fungi in tree plantations21,24.

The changes in microbial efficiency associated with forest conversion might also reflect altered nutrient status in soils. In native forests, soil microbes are not severely nutrient-limited, due to high soil nutrient availability and large annual inputs of above- and belowground litter (and nutrients therein) (Supplementary Table S1) relative to the nutrient demands of trees27. Soil microbes metabolize C efficiently and SOC buildup is favoured by accumulation of microbial residues28. Under such conditions, the effects on SOC can be dramatic: undisturbed old-growth native forest soils in subtropical China accumulate SOC at 0.54–0.68 Mg C ha−1 yr−1 2, representing a strong net sink for atmospheric CO2.

Reductions in soil nutrient availability are widespread following the replacement of native forests by plantations29, especially in tropical regions where fertilization is uncommon in tree plantations and where soil P is generally low in availability and replenished only slowly from rock weathering30. Across our chronosequence, available P and mineral N (NH4+–N plus NO3−_N) in soil fell from 4.71 and 16.7 mg kg−1, respectively, in native forest to 2.63 and 12.3 mg kg−1 in the 88-yr-old plantation (Supplementary Table S1). Most nutrient depletion occurred in the first 7 yr, caused initially by burning and subsequently by soil erosion29. The largest soil mineral N pool occurred under the 2-yr old stand, suggesting rapid stimulation of N mineralization driven by the increased soil temperature following native forest removal. This would risk substantial loss of labile soil N during that period, as the ground cover was scarce and nutrient uptake by the small seedlings limited. However, as Chinese fir trees attained maximum growth rates (between 7 yr and 21 yr old), their nutrient demands increased correspondingly while soil nutrient pools as well as litter inputs and nutrients therein13,27 were greatly reduced relative to those in native forest (Supplementary Table S1). Soil heterotrophs under plantations have less access to nutrients, metabolize C less efficiently, and must decompose more soil organic matter (SOM) to meet their nutrient demands and those of the trees. Consequently, SOC turns over rapidly and its buildup is impeded13. As plantations mature, SOC decomposition returns to its pre-plantation rate. But that recovery is not accompanied by a corresponding increase in τSOC and SOC storage13 because the nutrient demand-supply balance of planted trees cannot recover to that of native forests. Consequently, the SOC pools under even the oldest tree plantations in our study had not recovered to those of native forests13, and could be reduced even further in successive rotations31. This echoes the effect that replacement of native by non-native grasses has on SOC storage in temperate grasslands32, but has not previously been reported for forests. It contrasts with the widely reported conclusion from meta-analyses that SOC densities under plantations can apparently recover after about 40 years7.

Accelerated turnover of SOC under tree plantations contradicts previous findings that plantations usually accumulate less labile SOC in terms of dissolved organic C, MBC, light fraction organic C, and particulate organic C compared with native forests18,33,34,35. This result is consistent with the growing view36 that SOM stability is dominated by environmental and biological controls and not solely by its molecular complexity. Furthermore, recent field experiments have demonstrated that the identity of plantation tree species and their type of mycorrhizal symbiosis can have large yet distinct influences on SOC dynamics37.

Our findings have potentially serious implications for the management of long-term C storage in forest soils. Native forests have belowground C processes that promote accumulation and long-term persistence of SOC36; plantations do not. Ecosystem C management will be significantly jeopardized if plantations are located on land previously occupied by native forests. From a carbon management point-of-view, native forests should be preserved and alternative sites for large-scale plantations, such as abandoned cropland or reclaimed industrial areas, preferred. Management of plantations for C sequestration should integrate C and nutrient management strategies to sustain SOC formation while reducing decomposition, through optimizing nutrient conservation by avoiding soil erosion and vegetation burning, and maximizing litter inputs to soils. Efforts to promote natural secondary forest regeneration following selective harvesting rather than planting plantations on clear-cut land should also be valued to gain co-benefits of carbon storage and increased biodiversity38.

Methods

Site description

The study sites were located in a small watershed in Fujian Province, China. The dominant vegetation of the region was once evergreen broadleaved forest, but is now a mosaic of Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) plantations. A chronosequence of Chinese fir plantations of 2, 7, 16, 21, 40 and 88 years old, all of which were planted on natural forest land following clear-cutting and burning, was selected to represent full stand development, with a nearby native broadleaved forest as a reference (Supplementary Table S1). The understorey vegetation in all Chinese fir stands comprised mainly shrubs and herbs. The native forest was dominated by Castanopsis fargesii, Schima superba and Pinus massoniana and had a substantial understorey community. These forests are neighbouring (<1 km apart) and have similar parent material, soil type, and topography.

Measurements

In January 2006, three 20 m × 20 m plots were established in each forest. Within these, replicate (n = 3) subplots, 0.5 m × 1.0 m, were established to provide intact controls (INT) and root exclusion (no-roots: NR) or root exclusion plus litter removal (no-roots, no-litter: NRNL) treatments. In the latter two treatments, subplots were trenched and lined with plastic to prevent new root in-growth.

Soil-surface CO2 flux (Rs), along with soil temperature at 5 cm depth (T5) and soil moisture at 12 cm depth (W12), from each subplot was measured monthly from July 2006 to June 2008 using three automated infra-red gas analyzers coupled to soil-surface chambers (Li-8100, Li-Cor Inc., Lincoln, NE, USA). The sampling time was restricted between 09:00 am and 11:00 am on rainless mornings when the Rs rates were not significantly different from the daily means irrespective of stand and season16. We directly measured Rs (in INT plots), heterotrophic CO2 flux (Rh, in NR plots) and the CO2 flux from SOC decomposition (Rm, in NRNL plots) and calculated the CO2 fluxes from litter decomposition (Rl = Rh-Rm) and living roots and symbionts (Rr = Rs-Rh). Monthly fluxes were derived by multiplying daily fluxes by the number of days in the month, and annual fluxes computed as the sum of the monthly fluxes39,40.

The mean residence time of SOC (τSOC) was estimated41 by dividing the SOC stock of the 0–100 cm depth by annual Rm. Soil microbial biomass C (MBC) from the 0–20 cm and 20–40 cm soil depths was determined by the fumigation extraction method42. Microbial C quotient (qMBC) was calculated as the fraction of MBC present in SOC43. Metabolic quotients (qCO2) were determined by dividing field-measured Rm of the corresponding month when MBC was measured by the size of the MBC pool.

Statistics

The within-stand replicated plots were considered to be the experimental units, and all the variables were averaged within each plot. A repeated measures ANOVA was performed, after checking assumptions of sphericity with Mauchley’s test, to evaluate if stand, treatment and sampling month had significant effects on Rs rates, T5 and W12. All comparisons among stands or among treatments were performed using a one-way ANOVA followed by Tukey’s HSD tests. Linear regression analysis was performed to examine the relationship between ln-transformed monthly soil respiration rates and T5. To test whether W12 had an effect on soil respiration, we used both T5 and W12 (or ln-transformed W12) as two predictors of ln-transformed soil respiration and conducted a multiple linear regression. A coefficient of W12 for which p < 0.05 indicated a statistically significant effect on soil respiration. τSOC and qCO2 were related to annual litter production, fine-root biomass, SOC pool size, mean annual T5, and mean annual W12 by linear regressions to determine factors affecting soil C cycling across the chronosequence. Data on litter production, fine-root biomass and SOC pool were reported previously13.

Additional Information

How to cite this article: Chen, G. et al. Accelerated soil carbon turnover under tree plantations limits soil carbon storage. Sci. Rep. 6, 19693; doi: 10.1038/srep19693 (2016).

References

  1. 1.

    FAO. Global Forest Resources Assessment 2010: FAO Forestry Paper 163 (Food and Agriculture Organization of the United Nations, Rome, 2010).

  2. 2.

    et al. Old-growth forests can accumulate carbon in soils. Science 314, 1417–1417 (2006).

  3. 3.

    & The vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecol. Appl. 10, 423–436 (2000).

  4. 4.

    Soil carbon sequestration impacts on global climate change and food security. Science 304, 1623–1627 (2004).

  5. 5.

    Scaling the depths: belowground allocation in plants, forests and biomes. Funct. Ecol. 18, 290–295 (2004).

  6. 6.

    & Forest plantations of the world: their extent, ecological attributes, and carbon storage. Agric. Forest. Meteor. 84, 153–167 (1997).

  7. 7.

    & Soil carbon stocks and land use change: a meta analysis. Global Change Biol. 8, 345–360 (2002).

  8. 8.

    , , & Ecosystem carbon stock influenced by plantation practice: Implications for planting forests as a measure of climate change mitigation. Plos One 5, e10867 (2010).

  9. 9.

    , , & Geographic bias of field observations of soil carbon stocks with tropical land-use changes precludes spatial extrapolation. Proc. Nat. Acad. Sci. USA 108, 6318–6322 (2011).

  10. 10.

    , , , & Dual-chamber measurements of 13C of soil-respired CO2 partitioned using a field-based three end-member model. Soil Biol. Biochem. 47, 106–115 (2012).

  11. 11.

    , & Allometric constraints on, and trade-offs in, belowground carbon allocation and their control of soil respiration across global forest ecosystems. Global Change Biol. 20, 1674–1684 (2014).

  12. 12.

    et al. The knowns, known unknowns and unknowns of sequestration of soil organic carbon. Agric. Ecosyst. Environ. 164, 80–99 (2013).

  13. 13.

    et al. Carbon storage in a chronosequence of Chinese fir plantations in southern China. Forest Ecol. Manage. 300, 68–76 (2013).

  14. 14.

    , , & Estimation of autotrophic and heterotrophic components of soil respiration by trenching is sensitive to corrections for root decomposition and changes in soil water content. Plant Soil 301, 99–110 (2007).

  15. 15.

    , & Interannual variability in global soil respiration, 1980-94. Global Change Biol. 8, 800–812 (2002).

  16. 16.

    et al. The dynamic response of soil respiration to land-use changes in subtropical China. Global Change Biol. 16, 1107–1121 (2010).

  17. 17.

    , , , & Soil biological changes for a natural forest and two plantations in subtropical China. Pedosphere 14(3), 297–304 (2004).

  18. 18.

    , , , , & Soil carbon and nutrient pools, microbial properties and gross nitrogen transformations in adjacent natural forest and hoop pine plantations of subtropical Australia. J. Soils Sedim. 8, 99–105 (2008).

  19. 19.

    , , & Soil microbial biomass, activity and community composition in adjacent native and plantation forests of subtropical Australia. J. Soils Sedim. 10, 1267–1277 (2010).

  20. 20.

    , , & Soil fungal communities differ in native mixed forest and adjacent Araucaria cunninghamii plantations in subtropical Australia. J. Soils Sedim. 10, 1278–1288 (2010).

  21. 21.

    et al. Comparison of bacterial and fungal communities between natural and planted pine forests in subtropical China. Curr. Microbiol. 64, 34–42 (2012).

  22. 22.

    , , & Bacterial and fungal contributions to carbon sequestration in agroecosystems. Soil Sci. Soc. Am. J. 70, 555–569 (2006).

  23. 23.

    , , & The temperature response of soil microbial efficiency and its feedback to climate. Nature Clim. Change 3, 395–398 (2013).

  24. 24.

    & Soil microbial biomass and activity in response to Eucalyptus plantation and natural regeneration on tropical soil. Forest Ecol.Manage. 174, 1–11 (2003).

  25. 25.

    , , & Carbon mineralization of soils from native evergreen broadleaf forest and three plantations in mid-subtropic China. Commun. Soil Sci. Plan. 40, 1964–1982 (2009).

  26. 26.

    & Effect of fungal to bacterial biomass ratio on the relationship between CO2 evolution and total soil microbial biomass. Biol. Fert. Soils 17, 39–44 (1994).

  27. 27.

    & Conversion of a natural broad-leafed evergreen forest into pure and mixed plantation forests in a subtropical area: effects on nutrient cycling. Can. J. Forest Res. 28, 1518–1529 (1998).

  28. 28.

    , , , & The Microbial Efficiency-Matrix Stabilization (MEMS) framework integrates plant litter decomposition with soil organic matter stabilization: do labile plant inputs form stable soil organic matter? Global Change Biol. 19, 988–995 (2013).

  29. 29.

    et al. Carbon and nitrogen pools in Chinese fir and evergreen broadleaved forests and changes associated with felling and burning in mid-subtropical China. Forest Ecol.Manage. 216, 216–226 (2005).

  30. 30.

    , , & Terrestrial phosphorus limitation: mechanisms, implications, and nitrogen-phosphorus interactions. Ecol. Appl. 20, 5–15 (2010).

  31. 31.

    , , & Carbon stock changes in successive rotations of Chinese fir (Cunninghamia lanceolata (lamb) hook) plantations. Forest Ecol. Manage. 202, 131–147 (2004).

  32. 32.

    , & Invasion of non-native grasses causes a drop in soil carbon storage in California grasslands. Environ. Res. Lett. 6, 044001 (2011).

  33. 33.

    , & Soil carbon pools in adjacent natural and plantation forests of subtropical Australia. Soil Sci. Soc. Am. J. 68, 282–291 (2004).

  34. 34.

    , , , , & Effects of forest conversion on soil labile organic carbon fractions and aggregate stability in subtropical China. Plant Soil 323, 153–162 (2009).

  35. 35.

    & Response of labile soil organic matter to changes in forest vegetation in subtropical regions. Appl. Soil Ecol. 47, 210–216 (2011).

  36. 36.

    et al. Persistence of soil organic matter as an ecosystem property. Nature 478, 49–56 (2010).

  37. 37.

    , & Tree species’ influences on soil carbon dynamics revealed with natural abundance 13C techniques. Plant Soil 10.1007/s11104-015-2731-y (2016).

  38. 38.

    et al. Cheap carbon and biodiversity co-benefits from forest regeneration in a hotspot of endemism. Nature Clim. Change 4, 503–507 (2014).

  39. 39.

    , , , & Effects of soil water content on soil respiration in forests and cattle pastures of eastern Amazonia. Biogeochemistry 48, 53–69 (2000).

  40. 40.

    , , , & Gap filling strategies and error in estimating annual soil respiration. Global Change Biol. 19, 1941–1952 (2013).

  41. 41.

    , & The carbon balance of tropical, temperate and boreal forests. Plant Cell Environ. 22, 715–740 (1999).

  42. 42.

    Ratio of microbial biomass carbon to soil organic carbon as a sensitive indicator of changes in soil organic matter. Soil Res. 30, 195–207 (1992).

  43. 43.

    et al. Experimental warming effects on the microbial community of a temperate mountain forest soil. Soil Biol. Biochem. 43, 1417–142 (2011).

Download references

Acknowledgements

This study was supported by the National Natural Science Foundation of China (31130013 and 31422012), the Natural Science Foundation of Fujian Province (2014J07005), and the National 973 Program (2014CB460602).

Author information

Affiliations

  1. Key Laboratory for Subtropical Mountain Ecology (Ministry of Science and Technology and Fujian Province Funded), School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China

    • Guangshui Chen
    • , Yusheng Yang
    • , Zhijie Yang
    • , Jinsheng Xie
    • , Jianfen Guo
    • , Ren Gao
    •  & Yunfeng Yin
  2. Institute of Biological & Environmental Sciences, School of Biological Sciences, University of Aberdeen, Aberdeen AB24 3UU, UK

    • David Robinson

Authors

  1. Search for Guangshui Chen in:

  2. Search for Yusheng Yang in:

  3. Search for Zhijie Yang in:

  4. Search for Jinsheng Xie in:

  5. Search for Jianfen Guo in:

  6. Search for Ren Gao in:

  7. Search for Yunfeng Yin in:

  8. Search for David Robinson in:

Contributions

Y.Yang and G.C. designed the research. Z.Y., G.C., R.G., J.G., J.X. and Y.Yin collected the data. G.C. and D.R. performed analysis and calculations. D.R. and G.C. wrote the manuscript. Y. Yang and J.X. commented on the manuscript.

Competing interests

The authors declare no competing financial interests.

Corresponding authors

Correspondence to Guangshui Chen or Yusheng Yang.

Supplementary information

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Creative Commons BYThis work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/