Effect of land cover change on total SOC and soil PhytOC accumulation in the karst subtropical forest ecosystem, SW China

Li, Shuang; Sheng, Maoyin; Yuan, Faying; Yin, Jun

doi:10.1007/s11368-021-02970-7

Cited by 17 publications

(13 citation statements)

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“…Compared with other kinds of SOC, soil PhytOC is remarkably more stable (Yang et al, 2018). And compared with non-karst ecosystems (Chen et al, 2018;Li et al, 2013;Pan et al, 2017;Qi et al, 2021;Song, Peng, et al, 2014;Yang et al, 2018), soil PhytOC content and Phy-tOC:TSOC ratio in the Southwest China karst is obviously higher (Li, Sheng, et al, 2021) Abbreviations: C:N, the ratio of TSOC to TN; C:P, the ratio of TSOC to TP; N:P, the ratio of TN to TP; PhytOC, phytolith occluded organic carbon; TN, total nitrogen; TP, total phosphorus; TSOC, total soil organic carbon. The present results showed although most of the vegetation restoration measures could obviously increase the soil PhytOC accumulation, the effects of different restoration vegetations were significantly different.…”

Section: Enlightenments For the Vegetation Restoration Of Increasing ...mentioning

confidence: 92%

“…TSOC, TN, and TP content were measured by the potassium dichromate oxidation–ferrous sulfate titrimetry method, Kjeldahl method, and molybdenum antimony colorimetric method, respectively (Sheng et al, 2018). Available Si content was determined by the lithium metaborate melting‐nitric acid buffer extraction‐molybdenum blue colorimetric method (Li, Sheng, et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

“…Soil phytolith content, PhytOC content, and storage were calculated by following the method of Li, Sheng, et al (2021). The formulas are as follows:

Soil phytolith content (g {kg}^{- 1}) = phytolith mass (normalg) / soil sample mass (kg),

Soil PhytOC content (g {kg}^{- 1}) = PhytOC mass (normalg) / soil sample mass (kg),

Soil PhytOC storage (kg {hm}^{- 2}) = \sum_{i = 1}^{n} (10,000 \times H_{i} \times {italicVW}_{i} \times C_{i}),

Where: H i is the depth of i layer soils (m), VW i is the volume weight of i layer soils (g cm −3 ), and C i is the soil PhytOC content of i layer (g kg −1 ).…”

Section: Methodsmentioning

confidence: 99%

“…Soil phytolith content, PhytOC content, and storage were calculated by following the method of Li, Sheng, et al (2021). The formulas are as follows:…”

Section: Calculation Formulamentioning

confidence: 99%

“…To date, soil PhytOC accumulation and sink estimation in many terrestrial ecosystems of subtropical forest (Nie et al, 2014; Yang et al, 2018), meadow (Pan et al, 2017; Qi et al, 2021), wetland (Li et al, 2013), bamboo forest (Chen et al, 2018), grassland (Shi et al, 2014), agricultural land (Song, Wang, et al, 2014), and fern ecosystems (Zhang et al, 2012) have been studied and reported. Compared with these terrestrial ecosystems, Southwest China karst has higher soil PhytOC accumulation and phytolith carbon sink potential (Li, Sheng, et al, 2021). Soil PhytOC has more remarkable significance for stable carbon sequestration in Southwest China karst.…”

Section: Introductionmentioning

confidence: 99%

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Response of soil phytolith occluded organic carbon accumulation to long‐term vegetation restoration in Southwest China karst

et al. 2022

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Aboveground vegetation can significantly affect soil PhytOC (phytolith occluded organic carbon) accumulation. To clarify the response of soil PhytOC accumulation to long‐term vegetation restoration in Southwest China karst, the four typical vegetation restoration engineering types of tree, shrub, vine forest, and grassland construction including seven species planting measures carried out 28–31 years ago were selected as study objects. And studies on their effects on soil PhytOC content and storage were conducted. Results showed that long‐term vegetation restorations obviously increased soil PhytOC accumulation and changed the proportion of soil PhytOC to total soil organic carbon. Among the different engineering types or species planting measures of vegetation restoration, there were significant or extremely significant differences in effects on soil PhytOC accumulation. Among the four types of restoration engineering, the tree forest construction had the best increase effect on soil PhytOC accumulation. And among the seven kinds of planting measures, the increased effect on soil PhytOC accumulation of Tectona grandis ('teak' an angiosperm tree species) planting was the highest. Vegetation biomass and litters were the key influencing factors on soil PhytOC accumulation. Soil C:P and N:P had significant effects on soil PhytOC accumulation by changing aboveground vegetation biomass and litters. Human activities could significantly change soil PhytOC content and storage, and reducing human activities of tilling and harvesting would be beneficial to soil PhytOC accumulation. The present results not only provided scientific bases for the vegetation rehabilitation of increasing soil PhytOC accumulation in outhwest China karst but also were great of significance in promoting stable soil C sequestration of the global terrestrial ecosystems.

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Section: Enlightenments For the Vegetation Restoration Of Increasing ...mentioning

confidence: 92%

Section: Methodsmentioning

confidence: 99%

“…Soil phytolith content, PhytOC content, and storage were calculated by following the method of Li, Sheng, et al (2021). The formulas are as follows:

Soil phytolith content (g {kg}^{- 1}) = phytolith mass (normalg) / soil sample mass (kg),

Soil PhytOC content (g {kg}^{- 1}) = PhytOC mass (normalg) / soil sample mass (kg),

Soil PhytOC storage (kg {hm}^{- 2}) = \sum_{i = 1}^{n} (10,000 \times H_{i} \times {italicVW}_{i} \times C_{i}),

Where: H i is the depth of i layer soils (m), VW i is the volume weight of i layer soils (g cm −3 ), and C i is the soil PhytOC content of i layer (g kg −1 ).…”

Section: Methodsmentioning

confidence: 99%

“…Soil phytolith content, PhytOC content, and storage were calculated by following the method of Li, Sheng, et al (2021). The formulas are as follows:…”

Section: Calculation Formulamentioning

confidence: 99%