Literature DB >> 24736571

Phylogenetic variation of phytolith carbon sequestration in bamboos.

Beilei Li1, Zhaoliang Song2, Zimin Li3, Hailong Wang1, Renyi Gui4, Ruisheng Song4.   

Abstract

Phytoliths, the amorphous silica deposited in plant tissues, can occlude organic carbon (phytolith-occluded carbon, PhytOC) during their formation and play a significant role in the global carbon balance. This study explored phylogenetic variation of phytolith carbon sequestration in bamboos. The phytolith content in bamboo varied substantially from 4.28% to 16.42%, with the highest content in Sasa and the lowest in Chimonobambusa, Indocalamus and Acidosasa. The mean PhytOC production flux and rate in China's bamboo forests were 62.83 kg CO2 ha(-1) y(-1) and 4.5 × 10(8)kg CO2 y(-1), respectively. This implies that 1.4 × 10(9) kg CO2 would be sequestered in world's bamboo phytoliths because the global bamboo distribution area is about three to four times higher than China's bamboo. Therefore, both increasing the bamboo area and selecting high phytolith-content bamboo species would increase the sequestration of atmospheric CO2 within bamboo phytoliths.

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Year:  2014        PMID: 24736571      PMCID: PMC3988483          DOI: 10.1038/srep04710

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Phytoliths are the amorphous silica deposited in plant tissues such as the cell wall, cell lumen and intercellular space during plant growth123. They are present in many plants, especially abundant in gramineous plants, e.g., bamboo45. A large amount of phytoliths are released in the topsoil through plant organic matter decomposition67. Importantly, phytoliths are very stable in some sediments8 or even in harsh environments such as flood, earthquake and dust storms91011, due to their strong resistance to degradation61112. Recent researches report that during the formation of phytoliths, 1%–6% organic carbon can be sequestered within the phytoliths, also called phytolith-occluded carbon (PhytOC)613, which plays an important role in the global carbon cycle and climate change as a “safe” carbon sink1415. Bamboo, a typical phytolith-accumulator516, is predominantly distributed in the world tropical and subtropical regions, with a total area of 2.2 × 107 ha17, occupying about 1% of the total global forest distribution area18. In China, bamboo is widely distributed with an total area of 7.2 × 106 ha, especially in Zhejiang, Fujian and Jiangxi Provinces17. Recently, Parr et al.5 and Song et al.19 estimated the global production of phytolith and PhytOC in bamboo. Furthermore, Song et al.19 compared the production of PhytOC in bamboo with other forests in China. However, their studies were only based on a limited number of bamboo species (<11). The phylogenetic variation of phytolith in bamboo leaves has not been investigated. Therefore, this study selected 75 different bamboo species to explore the phylogenetic variation in phytolith composition and phytolith production of bamboo.

Results

The phytolith content in leaves of the 75 bamboo species ranged significantly from 4.28% to 16.42%, mostly within 8%–14% and with a mean of 9.59% (Table 1, Fig. 1). The highest phytolith content was in leaves of Pleioblastus kongosanensis, Phyllostachys sulphurea viridisulcata, Phyllostachys ventricosa cv huangganlucao and Phyllostachys ventricosa cv. luganhuangcao, with a mean of higher than 14%. The phytolith content in the leaves of Chimonobambusa quadrangularis, Phyllostachys prominensa and Phyllostachys aureosulcata f. aureocaulis was the lowest, with a mean of 4.28%, 4.52% and 4.84%, respectively. There was a significant variation in the phytolith content of bamboo leaves from different genera (Fig. 2A). The phytolith content was the highest in Sasa, while the lowest in Chimonobambusa, Indocalamus and Acidosasa (Table 1; Fig. 2A). There was no obvious variation in leaf phytolith content for bamboos belonging to different subtribes, bambuseaes and bambusataes (Fig. 2B–D). The C content of phytolith for bamboo varies slightly from 2.0% to 3.2%, with a median of 2.6% (Fig. 3).
Table 1

Phylogenetic variation of phytolith content in bamboo leaves

BambusataeBambuseaeSubtribeGenusSpeciesPhytolith (%)a
BambusataeBambuseae Trin.Bambuseae Trin.BambusaB.rutila10.41
    B. multiplex11.92
    B. multiplex cv. Changye10.02
    B.multiplex raeuschel8.17
    B.alphonsekarri10.12
    B.glaucescens7.43
 ShibataeeaeShibataeinaeHibanobambusaH.tranguillans.shiroshima9.01
   ShibataeaSh.kumasasa9.74
    Sh. chinensis nakai7.89
    Sh. chinensis nakai cv. jimao7.52
   SemiarundinariaS. yashadake f. kimmei8.99
    S. yashadake makino8.64
    S. yashadake f. ogon10.83
   PhyllostachysPh.prominens4.52
    Ph.vivax. huanwenzhu6.59
    Ph.heterocycla taokiang7.50
    Ph.heterocycla6.82
    Ph.incarnata7.82
    Ph. bambusoides9.84
    Ph. bambusoides. cv. huayehuagan11.24
    Ph.bambusoides.castillonis8.96
    Ph. nigra9.43
    Ph. nigra. cv. huaye9.87
    Ph.aureosulcata.pekinensis7.18
    Ph.aureosulcata7.68
    Ph.aureosulcata.aureocaulis4.84
    Ph.aureosulcata.spectabilis8.30
    Ph.sulphurea.viridis13.99
    Ph.sulphurea viridisulcata15.63
    Ph. sulphurea12.07
    Ph. houzeauana8.99
    Ph. ventricosa9.87
    Ph. ventricosa cv huangganlucao16.42
    Ph. ventricosa cv. luganhuangcao14.83
    Ph. ventricosa cv. huangjin9.08
    Ph.arcana.luteosulcata9.19
    Ph.propinqua9.40
    Ph.vivax.aureocaulis7.56
    Ph.heterocycla.gracilis8.09
    Ph.nigra.henonis8.59
    Ph.dulcis10.02
    Ph.parvifolia7.78
    Ph. violascens cv. xiye9.48
    Ph. violascens cv. jianye9.81
    Ph. violascens cv. viridisulcata12.41
    Ph. violascens cv. flavistriatus10.50
    Ph. violascens cv. panggan10.32
    Ph. violascens cv. anhuiensis7.81
    Ph. violascens cv. flavivaginis7.52
    Ph. violascens cv. violascens7.32
    Ph.bambussoides8.50
    Ph.aureosulcata6.52
    Ph. violascens cv. linanesis10.38
  SinobambusinaeIndosasaI.acutiligulata8.05
    I.sinica13.92
   SinobambusaS. tootsik11.15
    S. tootsik.cv. huaye8.45
   ChimonobambusaCh.quadrangularis4.28
ArundinariataeArundinarieaeArundin ariinaePleioblastusPl. kongosanensis14.46
    Pl.hisauchii8.96
    Pl.simonii.variegatus9.98
    Pl.inearis13.37
    Pl.chino.angustifoliu12.11
   PseudosasaP.amabilis6.73
    P. japonica9.43
    P. japonica. tsutsumiana9.34
    P. japonica cv. huaye9.17
   AcidosasaA.gigantea8.08
   OligostachyumO.sulcatum9.35
    O.ubricum11.04
  SasinaeSasaS.argenteostriata12.02
    S.pygmaea13.49
    S.auricoma13.57
   SasaellaS.glabra.albo-striata11.05
   IndocalamusI.decorus7.94

aThe data presented in this paper are the average of three replicates.

Figure 1

Frequency distribution of phytolith content within 75 bamboo species.

Figure 2

Phytolith content in leaves for bamboo of: (A) different genera, (B) different subtribes, (C) different bambuseaes, (D) different bambusataes.

Different letters above the error bars indicate significant difference among the different bamboo at p < 0.05 levels.

Figure 3

The variation of the occluded C content of phytoliths in bamboo leaves.

Different letters above the error bars indicate significant difference among bamboo bambuseaes at p < 0.05 levels.

Discussion

Recent studies indicate that the silicon (Si) content is higher in non-vascular plants and horsetails than in ferns, gymnosperms and angiosperms; higher in monocotyledons than in dicotyledons; and higher in gramineous plants and the Palmales than in other orders of plants2021. Furthermore, the phylogenetic variation in Si content in different phyla is greater than that of the lower level classifications such as order and family2021. Some researches show that there is a strong positive correlation between the phytolith and SiO2 contents of biomass51519. The above findings may have broad implications for phylogenetic variation in phytolith content of plants. The dramatic variations of phytolith content within leaves of different bamboo species and genera may be due to different absorption capacities of Si52223. Although the Si can be taken up by plant roots in the form of Si(OH)4, through the transpiration stream242526, the ability of transpiration for Si may vary in bamboos of different genera or species27. So, the deposition of Si among different bamboo also differs significantly. The different origins of bamboo species may also influence the Si deposition within leaves132829. For example, the different soil Si supply capacity from their original sites also leads to the different absorption capacity of Si in plants132829. In addition, the hereditary variability of bamboo species could also affect the Si absorption capacity30. Although the mechanisms of Si absorption for some plants such as rice282931, wheat32 and soybean33 have been reported by many researchers, that mechanisms of Si absorption in bamboo and the influence of different levels of phylogenetic classification on bamboo phytolith accumulation remain to be revealed. Recent researches have shown that PhytOC is much more stable than other organic carbon fractions in soils or some sediments, and can occupy up to 82% of the total carbon accumulation in a 2000 year old soil profile813 suggesting that PhytOC accumulation has a crucial role in long-term terrestrial carbon sink and global climate change2351534. We have examined the relationship of PhytOC content of bamboo leaf and phytolith content (Fig. 4A) and carbon content of phytolith and phytolith content (Fig. 4B). In contrast with Parr et al.5, the results show that there is no significantly negative relationship (p > 0.05) between phytolith content and carbon content of phytoliths but significantly positive relationship between the phytolith content and the PhytOC content in bamboo leaves. The results imply that increasing phytolith content is a potential measure to increase phytolith C accumulation.
Figure 4

The relationship between the phytolith content and the carbon content of phytoliths (p > 0.05) (A), and between the phytolith content and the PhytOC content in bamboo leaves (B).

Taking the C content in phytoliths of 3 ± 1% (Fig. 3; ref. 5 and 19) and net primary production for bamboo leaf litters of 5955 ± 1000 kg ha−1 yr−1 1935, we estimate that the phytolith carbon sequestration flux of bamboo is 28.04–107.55 kg CO2 ha−1 yr−1, with an average of 62.83 kg CO2 ha−1 yr−1. Taking China's current bamboo area of 7.2 × 106 ha and the mean bamboo PhytOC production flux of 62.83 kg CO2 ha−1 yr−1, we estimate that about 4.52 × 108 kg CO2 yr−1 would be sequestered in phytoliths of Chinese bamboo forests. As shown in Table 1, it is possible to improve the production flux of PhytOC by selecting bamboo species (e.g., Pleioblastus kongosanensis, Phyllostachys sulphurea viridisulcata) with high phytolith content515. If those bamboo species could be widely planted in China, 7.2 × 108 kg CO2 from the atmosphere would be captured within bamboo phytoliths. The global bamboo distribution area is 2.2 × 107 ha, occupying about 1% of the global forests1718, and is mainly distributed in tropical and subtropical regions such as China, India, Thailand and Japan171836. Taking the mean PhytOC production flux of 62.83 kg CO2 ha−1 y−1, we estimate that approximately 1.4 × 109 kg CO2 would be sequestered in bamboo phytoliths globally each year. However, if the highest PhytOC production flux of 107.55 kg CO2 ha−1 y−1 can be reached, atmospheric sequestration of 2.4 × 109 kg CO2 each year through global bamboo phytolith is possible. Assuming an increase rate of bamboo area of 3% annually3738 and the mean PhytOC production flux in bamboo of 62.83 kg CO2 ha−1 y−1, then at least 2.8 × 109 kg CO2 from the atmosphere would be sequestered in bamboo phytoliths globally by 2050. Taking the highest PhytOC production flux, 4.7 × 109 kg CO2 would be sequestered in bamboo phytoliths globally. Although the total forest area of the world has decreased significantly, the total area of bamboo forests has increased at a rate of 3% annually and will continue to increase in the next decades19. For example, it was estimated that an area of 27 × 107 ha may be available for afforestation in China and at least half of the land can be used for bamboo afforestation1819. Furthermore, the world's bamboo may increase from 25 × 106 to 100 × 106 ha (approximately 3% of world's forests) by taking measures of bamboo afforestation/reforestation in the tropical and subtropical area of the world1819. Therefore, it is possible to significantly increase phytolith carbon sink in bamboo forests by both increasing the bamboo area and selecting high phytolith-content bamboo species such as Pleioblastus kongosanensis, Ph. Ventricosa cv. Luganhuangcao and Phyllostachys Ventricosa cv Huangganlucao.

Methods

Experimental site

Fresh mature (two-year old) leaf samples were collected from 75 different bamboo species belonging to two bambusataes, three bambuseaes, five subtribes and 15 genera in the botanical garden at Zhejiang Agricultural and Forestry University (30°15′N, 119°43′E), Lin'an, Zhejiang, China. Lin'an is located in western Zhejiang and has a subtropical monsoon climate with an average elevation of 150 m above sea level. The distribution of precipitation is uneven, with an average of 1400 mm y−1. The annual frost-free period is up to 234 d, and the annual average temperature is 16°C.

Experimental design and Analyses of the phytolith in samples

The leaves of the different bamboo species were used to examine the variability of phytolith production. Mature leaf samples were collected in May 2012, when they have higher phytolith content than that in younger leaves539. Each leaf sample was mixed, rinsed with ultrapure water, oven-dried at 75°C for 48 h to a constant mass and then cut into small pieces (<5 mm) for phytolith analysis. The phytoliths within bamboo leaves were extracted with a microwave digestion process40 and Walkley–Black type digest41. The extracted phytoliths were oven-dried at 75°C to a constant weight. Dried phytoliths were weighed and recorded for phytolith content calculation. Occluded C content of phytoliths was determined with methods of ref. 15.

Data calculations and statistics

The data presented in this paper were the average of three replicates. Excel and SPSS were employed in the statistical analysis of data. One-way ANOVA and Duncan's Multiple Range Test (p < 0.05) were applied to examine the difference of data groups.

Author Contributions

B.L., R.G., R.S. and Z.S. carried out the sampling. B.L. and Z.L. performed the experimental work. B.L., H.W. and Z.S. analyzed the data. Z.S. designed the study and supervised the project. All authors discussed the results and contributed to the manuscript.
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