丁明净, 脱云飞, 郑 阳, 骆 伟, 代勤龙, 李健威, 石小兰, 黎建强, 何霞红, 向 萍. 基于最小数据集栗子坪自然保护区不同林分类型土壤质量评价[J]. 土壤通报, 2024, 55(5): 1215 − 1228. DOI: 10.19336/j.cnki.trtb.2023080302
引用本文: 丁明净, 脱云飞, 郑 阳, 骆 伟, 代勤龙, 李健威, 石小兰, 黎建强, 何霞红, 向 萍. 基于最小数据集栗子坪自然保护区不同林分类型土壤质量评价[J]. 土壤通报, 2024, 55(5): 1215 − 1228. DOI: 10.19336/j.cnki.trtb.2023080302
DING Ming-jing, TUO Yun-fei, ZHENG Yang, LUO Wei, DAI Qin-long, LI Jian-wei, SHI Xiao-lan, LI Jian-qiang, HE Xia-hong, XIANG Ping. Soil Quality Evaluation of Different Forest Types in Liziping Nature Reserve Based on the Minimum Data Set[J]. Chinese Journal of Soil Science, 2024, 55(5): 1215 − 1228. DOI: 10.19336/j.cnki.trtb.2023080302
Citation: DING Ming-jing, TUO Yun-fei, ZHENG Yang, LUO Wei, DAI Qin-long, LI Jian-wei, SHI Xiao-lan, LI Jian-qiang, HE Xia-hong, XIANG Ping. Soil Quality Evaluation of Different Forest Types in Liziping Nature Reserve Based on the Minimum Data Set[J]. Chinese Journal of Soil Science, 2024, 55(5): 1215 − 1228. DOI: 10.19336/j.cnki.trtb.2023080302

基于最小数据集栗子坪自然保护区不同林分类型土壤质量评价

Soil Quality Evaluation of Different Forest Types in Liziping Nature Reserve Based on the Minimum Data Set

  • 摘要:
    目的 探究栗子坪自然保护区不同林分类型土壤质量状况。
    方法 以栗子坪自然保护区内4种林分类型(青冈川杨阔叶混交林、栓皮栎落叶阔叶林、石棉玉山竹林、冷杉云杉针叶混交林)为研究对象,通过主成分分析法构建出由含水率、毛管孔隙度、中粉砂、粗粉砂、黏粒、水解氮、有机质、全磷、全钾、脲酶和微生物量氮等11个指标组成的最小数据集,对该保护区土壤质量状况进行评价。
    结果 ①不同林分类型容重、非毛管孔隙度、细粒砂、全氮、速效钾和微生物量碳无差异显著,含水率、总孔隙度、毛管孔隙、pH、黏粒、中粉砂、粗粉砂、细砂、全钾、微生物量氮、全磷、速效磷、有机质、水解氮、过氧化氢酶、脲酶、酸性磷酸酶和蔗糖酶差异显著(P < 0.05)。②不同林分类型林木蓄积量、森林覆盖率、草本生物量、优势树种各器官含碳量、基盖度和郁闭度和最小数据集土壤质量指数存在显著正相关关系,表明基于最小数据集的土壤质量指数可反映出该地区不同林分类型下土壤质量状况,具有较好的适用性。③个林分类型土壤质量指数SQI在0.269 ~ 0.758之间,总体为0.466;其中冷杉云杉针叶混交林SQI为0.758(质量中),石棉玉山竹林SQI为0.601(质量良) ,栓皮栎落叶阔叶林SQI为0.327(质量低),青冈川杨阔叶混交林SQI为0.269(质量低),林分类型间土壤质量差异显著(P < 0.05)。
    结论 不同林分类型土壤质量差异显著(P < 0.05),冷杉云杉针叶混交林土壤养分含量和酶活性整体最高,土壤质量由高到低分别为冷杉云杉针叶混交林 > 石棉玉山竹林 > 栓皮栎落叶阔叶林 > 青冈川杨阔叶混交林。该研究可为今后该地区土壤质量评价模型构建、优势造林树种选择和土壤改良技术研发提供参考,为当地自然保护区域森林土壤资源保护、开发和利用提供科学决策依据。

     

    Abstract:
    Objective The aim was to investigate the soil quality condition of different stand types in Liziping Nature Reserve.
    Method Four forest stand types (Cyclobalanopsis and Populus szechuanica broad-leaved mixed forest, oriental oak deciduous broad-leaved forest, Yushania lineolata forest, and fir-spruce coniferous mixed forest) in the Liziping Nature Reserve were taken as the research objects. A minimum data set (MDS) consisting of 11 indices, such as mass water content, capillary porosity, medium silt, coarse silt, clay, hydrolyzed nitrogen, organic matter, total phosphorus, total potassium, urease and microbial nitrogen, was constructed through the method of principal component analysis, so as to evaluate the soil quality condition in the region.
    Result ① There was no significant difference in soil bulk density, non-capillary porosity, fine sand, total nitrogen, available potassium and microbial biomass carbon among different stand types. There were significant differences in water content, total porosity, capillary porosity, pH, clay, medium silt, coarse silt, fine sand, total potassium, microbial nitrogen, total phosphorus, available phosphorus, organic matter, hydrolyzed nitrogen, catalase, urease, acid phosphatase and urease (P < 0.05). ② There were significant positive correlations among the indices such as forest volume, forest cover, herbaceous biomass, carbon content of organs of dominant tree species, basal cover and degree of depression and the soil quality index (SQI) of the MDS in different forest stand types. Those indicated that the SQI based on the MDS can reflect the soil quality index of different forest stand types in the region, and it has good applicability. ③ The SQI of four forest stand types was distributed in the range of 0.269 ~ 0.758, the overall SQI was 0.510; the SQI of fir-spruce coniferous mixed forest was 0.758 (medium quality), Yushania lineolata forest was 0.601 (good quality), oriental oak deciduous broad-leaved forest was 0.327 (low quality), and cyclobalanopsis and populus szechuanica broad-leaved mixed forest was 0.269 (low quality). The difference of soil quality among different stand types was statistically significant (P < 0.05).
    Conclusion There are significant differences (P < 0.05) in the overall SQI among different stand types, with the highest overall content of soil nutrient content and enzyme activities in the fir-spruce coniferous mixed forest. The soil quality from high to low was as follows: fir-spruce coniferous mixed forest > Yushania lineolata forest > oriental oak deciduous broad-leaved forest > cyclobalanopsis and populus szechuanica broad-leaved mixed forest. The results can provide reference for the construction of soil quality evaluation model, selection of dominant afforestation tree species and soil improvement in this area, and provide scientific decision-making basis for the protection, development and utilization of forest soil resources in local nature conservation area.

     

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