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不同土地利用和土地覆盖系统下变质和未变质土壤的有机碳分组。

Soil organic carbon fractionation of spoiled and unspoiled soils under different land use and land cover systems.

机构信息

P.G. Department of Environmental Sciences, Sambalpur University, Jyoti Vihar, Sambalpur, India.

Gangadhar Meher University, Amruta Vihar, Sambalpur, India.

出版信息

Environ Monit Assess. 2023 May 29;195(6):755. doi: 10.1007/s10661-023-11368-6.

DOI:10.1007/s10661-023-11368-6
PMID:37247160
Abstract

Alteration in land use and land cover is the key factor affecting the soil carbon fractions and its distribution. A study was carried out to estimate the carbon fractions in soils of agricultural, forest and pasture lands in two different areas separated on the basis of industrial activities (spoiled and unspoiled) to get an insight on the long-term soil carbon storage potential. The results showed that the mean values of the total organic carbon (TOC) and various fractions are significantly different between the land use types (p < 0.05). Irrespective of the land uses, the forest land showed significantly higher TOC (7.97) than agricultural land (6.98) and pasture lands (6.68). Further, evaluation of carbon management index (CMI) indicated that forest lands had highest CMI value compared to the other land uses. The spoiled area had significantly higher TOC and carbon fractions than their respective counterparts in the unspoiled area (p < 0.05) due to the negative industrial impact on soil biological processes. The PCA separates the sources of different carbon fractions and revealed an association of N (nitrogen) and K (potassium) with VL (very labile) and L (labile) fractions and the association of P (phosphorous) with stable R (recalcitrant) form. Therefore, it can be inferred from the present study that alterations in land use not only result in soil quality degradation but also trigger a reduction in potential for long term soil C sequestration.

摘要

土地利用和土地覆被的变化是影响土壤碳组分及其分布的关键因素。本研究旨在评估基于工业活动(破坏和未破坏)划分的两个不同区域农业、森林和牧场土壤中的碳组分,以深入了解长期土壤碳储存潜力。结果表明,不同土地利用类型之间(p<0.05),总有机碳(TOC)和各组分的平均值存在显著差异。无论土地利用类型如何,林地的 TOC(7.97)均显著高于农业用地(6.98)和牧场(6.68)。此外,碳管理指数(CMI)的评估表明,与其他土地利用方式相比,林地的 CMI 值最高。由于负面的工业对土壤生物过程的影响,破坏区的 TOC 和各碳组分显著高于未破坏区(p<0.05)。主成分分析(PCA)将不同碳组分的来源分开,并揭示了 N(氮)和 K(钾)与 VL(非常易变)和 L(易变)组分的关联,以及 P(磷)与稳定的 R(顽固)形式的关联。因此,从本研究可以推断,土地利用的变化不仅导致土壤质量退化,而且还可能降低长期土壤 C 固存的潜力。

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