河南省典型土壤类型及土地利用方式对土壤活性有机质及碳库管理指数的影响

doi:10.16843/j.sswc.2023.05.004

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Abstract [Background] Labile organic matter (LOM) is a vital index to soil fertility, and it is more sensitive than soil organic matter to human and nature activities in short term. Soil type and land use are the main factors on LOM. Therefore, the study on the effect of different soil types and land use patterns on LOM and carbon pool management index (CPMI) will provide a scientific theoretical basis for soil sustainable development in Henan province. [Methods] Based on the typical soil types and different land use patterns in Henan province, the characteristics of LOM and soil CPMI by soil types and land use patterns were studied. In this study, three typical soil types (fluvo-aquic soil, Shajiang black soil, and cinnamon soil) and four land use patterns (orchard, farmland, vegetable land, and wasteland) were selected. The LOM was measured and divided into different components by KMnO₄ oxidation method. Two-way ANOVA was used to analyze the influence and interaction of LOM and CPMI by soil types and land use patterns.[Results] 1) In cinnamon soil and fluvo-aquic soil, the SOM content in orchard soil was the highest, which was 70.12% and 29.04% higher than that in wasteland soil, respectively. In shajiang black soil, the SOM content in farmland soil was significantly higher than that in other land use patterns, which was 23.61 g/kg. 2) In cinnamon soil, the orchard use pattern was beneficial to increase the content of LLOM (Lowly LOM) and HLOM (Highly LOM), but the proportion of TLOM (Total LOM) to SOM in wasteland soil was as high as 67.79%. In Shajiang black soil and fluvo-aquic soil, LOM content increased in farmland soil, and the proportion of TLOM was 48.66% and 41.08%, respectively. 3) The carbon pool index (CPI) in farmland under different soil types was higher than 1, indicating that farmland was more conducive to improving SOM accumulation than the other land use types. In cinnamon soil, the vegetable land was beneficial to increasing the CPMI of LLOM and MLOM (Moderately LOM) with the value as 95 and 137, respectively. In Shajiang black soil and fluvo-aquic soil, the farmland contributed to CPMI increase of LOM, with the values ranging from 183 to 202 and 154 to 171, respectively. Two-way ANOVA showed that the interaction of land use type and soil type×land use pattern had an extremely significant effect on LOM and CPMI. [Conclusions] The orchard had the best effect on improving LLOM and HLOM content, followed by vegetable in cinnamon soil. The farmland was helpful to increase LOM in Shajiang black soil and fluvo-aquic soil. The interaction of land use and soil type×land use significantly affected SOM, LOM, and CPMI.

Key words： soil types land use patterns labile organic matter carbon pool management index Two-way ANOVA

Received: 06 May 2021

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S158.2

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	LUO Lan
	XI Yuan
	HUA Zhongchen
	YAO Linlin
	JIANG Guiying
	SHEN Fengmin
	LIU Fang
	LIU Shiliang

Cite this article:

LUO Lan,XI Yuan,HUA Zhongchen, et al. Effects of typical soil types and land use patterns on soil labile organic matter and carbon pool management index in Henan province[J]. SSWC, 2023, 21(5): 29-37.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2023.05.004 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2023/V21/I5/29

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