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    熊凯, 赵玉娟, 陈健, 张运, 赵广东, 杨洪国, 史作民, 许格希. 川西米亚罗亚高山暗针叶林土壤pH和养分空间异质性分析[J]. 北京林业大学学报, 2022, 44(2): 55-64. DOI: 10.12171/j.1000-1522.20200422
    引用本文: 熊凯, 赵玉娟, 陈健, 张运, 赵广东, 杨洪国, 史作民, 许格希. 川西米亚罗亚高山暗针叶林土壤pH和养分空间异质性分析[J]. 北京林业大学学报, 2022, 44(2): 55-64. DOI: 10.12171/j.1000-1522.20200422
    Xiong Kai, Zhao Yujuan, Chen Jian, Zhang Yun, Zhao Guangdong, Yang Hongguo, Shi Zuomin, Xu Gexi. Spatial heterogeneity of soil pH and nutrients in Miyaluo Subalpine dark coniferous forest of western Sichuan, southwestern China[J]. Journal of Beijing Forestry University, 2022, 44(2): 55-64. DOI: 10.12171/j.1000-1522.20200422
    Citation: Xiong Kai, Zhao Yujuan, Chen Jian, Zhang Yun, Zhao Guangdong, Yang Hongguo, Shi Zuomin, Xu Gexi. Spatial heterogeneity of soil pH and nutrients in Miyaluo Subalpine dark coniferous forest of western Sichuan, southwestern China[J]. Journal of Beijing Forestry University, 2022, 44(2): 55-64. DOI: 10.12171/j.1000-1522.20200422

    川西米亚罗亚高山暗针叶林土壤pH和养分空间异质性分析

    Spatial heterogeneity of soil pH and nutrients in Miyaluo Subalpine dark coniferous forest of western Sichuan, southwestern China

    • 摘要:
        目的  对川西米亚罗亚高山暗针叶林土壤pH和养分空间异质性进行研究,可为深入了解川西亚高山林区土壤质量以及区域生态恢复提供科学依据。
        方法  依托在四川米亚罗省级自然保护区建立的亚高山暗针叶林9.6 hm2(400 m × 240 m)动态样地,采用野外布点采样、实验室测定、经典统计学、地统计学分析相结合的方法,分析了动态样地表层0 ~ 10 cm土壤pH和养分的空间异质性。
        结果  (1)亚高山暗针叶林动态样地的土壤pH均值为4.85;有机碳、全氮、全磷、全钾含量均值分别为50.05、3.40、0.53、24.97 g/kg,土壤铵态氮、硝态氮、有效磷含量均值分别为11.44、2.24、8.12 mg/kg;(2)pH低值主要分布在动态样地西侧,有机碳、全氮、全磷、铵态氮高值主要分布在动态样地东侧,全钾高值主要呈南北走向的条带状分布,硝态氮和铵态氮的分布则呈斑块状;(3)土壤pH和养分的变异系数在11% ~ 86%之间,其中pH的变异系数为11%,硝态氮和有效磷的变异系数均为86%。土壤pH和养分的块基比值范围为0.11 ~ 0.50,硝态氮和有效磷表现出强烈的空间自相关性,其他土壤性质呈现中等程度的空间自相关性;(4)除pH与全氮和全钾、有机碳与铵态氮、全氮与有效磷、全磷与全钾和硝态氮、全磷与有效磷外,其余21对土壤性质之间的偏相关系数均达到显著(P < 0.05)或极显著水平(P < 0.01)。
        结论  川西米亚罗亚高山暗针叶林土壤呈酸性,各土壤养分含量富集程度较高。土壤性质的空间分布表现出明显的空间自相关特征。土壤性质之间具有较为普遍的相互联系,土壤有机碳在本文研究的8个土壤性质的综合变异中最具有代表性。

       

      Abstract:
        Objective  The spatial heterogeneity of soil pH and nutrients in Miyaluo subalpine dark coniferous forest of western Sichuan, southwestern China was studied, and the study results can provide scientific basis for further understanding soil quality and regional ecological restoration in the subalpine forest of western Sichuan, southwestern China.
        Method  The experimental site was in 9.6 ha (400 m × 240 m) Miyaluo subalpine dark coniferous forest dynamic plot of western Sichuan. By combining field sampling, laboratory measurement, classical statistics and geostatistical analysis, we analyzed the spatial heterogeneity of 0−10 cm surface soil pH and nutrients, including soil organic carbon (SOC), total nitrogen (TN), total phosphorus (TP), total potassium (TK), ammonium nitrogen (AN), nitrate nitrogen (NN) and available phosphorus (AP), in the subalpine dark coniferous forest.
        Result  (1) The mean pH of the soil was 4.85. The mean contents of SOC, TN, TP and TK were 50.05, 3.40, 0.53 and 24.97 g/kg, respectively and the mean contents of AN, NN and AP were 11.44, 2.24 and 8.12 mg/kg, respectively; (2) pH was lower in the western portion. SOC, TN, TP and AN were generally abundant in the eastern portion of the dynamic plot. TK was abundant in a north-south strip pattern, and the distribution pattern of AN and NN was patchy; (3) the coefficient of variation (CV) of all soil properties ranged from 11% to 86%, the CV of soil pH was 11%, and that of NN and AP both was 86%. The nugget-sill ratio of soil properties ranged from 0.11 to 0.50, and NN and AP showed a strong spatial autocorrelation, whereas other soil properties showed a moderate spatial autocorrelation; (4) except for pH and TN, pH and TK, SOC and AN, TN and AP, TP and TK, TP and NN, TP and AP, the partial correlation coefficient between the other 21 pairs of soil properties reached a significant level (P < 0.05) or extremely significant level (P < 0.01).
        Conclusion  The soil in Miyaluo subalpine dark coniferous forest of western Sichuan is acidic and the nutrient content in the soil is relatively high. The spatial distribution of soil properties shows obvious spatial autocorrelation. The soil properties are generally interrelated with each other. SOC is the most representative of the 8 comprehensive variations of soil properties studied in this paper.

       

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