首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >The influence of the conversion of grassland to cropland on changes in soil organic carbon and total nitrogen stocks in the Songnen Plain of Northeast China
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The influence of the conversion of grassland to cropland on changes in soil organic carbon and total nitrogen stocks in the Songnen Plain of Northeast China

机译:草地转换对农田对东北松嫩平原土壤有机碳和总氮股的影响

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The soil organic carbon (SOC) and total nitrogen (TN) of topsoil could be greatly affected by the conversion of grassland to cropland (CGC) due to vegetation harvesting and soil erosion. However, few studies have evaluated the effects of these changes in the subsoil and distinguished its main controls at the regional scale. This paper investigated the total changes in the SOC stock (SOCs) and TN stock (TNs) of soils from 0 to 30 cm and 0-100 cm in depth over the past three decades in the Songnen Plain, China, a typical Mollisol region. The CGC resulted in a moderate loss of topsoil C and N but an increase in subsoil C and N, and the soil mapping results showed that approximately 7.47 x 10(11) kg C and 1.51 x 10(11) kg N were accumulated during the past three decades. Prediction uncertainty was assessed by 100 model runs with random jackknife partitions, and high uncertainty was found in the areas with rapidly changing SOC s and TNs levels. Our findings indicated that subsoil should be considered in the estimation of the SOC s and TNs at the regional scale. The SOCs and TNs of the CGC areas were anticipated to increase after long-term cultivation. In view of ongoing cropland expansion, up-to-date land use and soil type data are vital for selecting monitoring sites and understanding long-term soil evolution at the regional scale.
机译:由于植被收获和土壤侵蚀,土壤有机碳(SOC)和TOPSIL的总氮(TN)对草地转换为农田(CGC)的影响很大。然而,很少有研究评估了这些变化对底土的影响,并在区域规模中区分其主要控制。本文在过去三十年中调查了从0到30厘米的土壤的SoC股票(SOC)和TN股票(TNS)和0-100厘米的股票(TNS)的总变化。 CGC导致甲醛C和N的中等损失,但是底层C和N的增加,土壤映射结果显示约7.47×10(11)kg C和1.51×10(11)kg n在此期间积累过去三十年。通过100型模型评估了预测不确定性,随机伸缩刀分区,在具有迅速变化的SOC和TNS水平的区域中发现了高不确定性。我们的研究结果表明,应在区域规模估计SOC S和TNS中审议Subsoil。在长期培养后,预计CGC地区的SOC和TNS将增加。鉴于持续的耕地扩张,最新的土地使用和土壤类型数据对于选择监测网站并理解区域规模的长期土壤演变至关重要。

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