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浙江清凉峰自然保护区土壤肥力指标空间变异及其影响因素
引用本文:姜霓雯,童根平,叶正钱,程樟峰,吕永强,傅伟军.浙江清凉峰自然保护区土壤肥力指标空间变异及其影响因素[J].生态学报,2022,42(6):2430-2441.
作者姓名:姜霓雯  童根平  叶正钱  程樟峰  吕永强  傅伟军
作者单位:浙江农林大学, 亚热带森林培育国家重点实验室培育基地, 杭州 311300;浙江清凉峰国家级自然保护区管理局, 临安 311321
基金项目:浙江省自然科学基金项目(LY20C160004);浙江清凉峰国家级自然保护区管理局森林土壤资源调查编研项目(H20190328)
摘    要:为了探究清凉峰自然保护区内华南野生梅花鹿主要栖息地千顷塘的土壤肥力指标的空间变异规律及其相关影响因子,采用经典统计学和地统计学方法对千顷塘土壤pH、有机质、全磷、全氮、全钾含量进行了系统分析,并探讨了其主要影响因子。结果显示:千顷塘保护区内土壤整体呈酸性,区域内有机质、全磷、全氮、全钾含量均值分别为72.44、0.45、1.91、23.16 g/kg,所有指标均呈现中等程度变异。半方差分析结果表明,指数模型为pH、全磷、全氮、全钾的最佳拟合模型,球状模型为有机质最佳拟合模型,pH、全磷、全钾空间自相关强烈,显示其空间变异主要受结构性因素影响,有机质和全氮空间自相关程度中等,说明随机因素存在一定影响。全局Moran′s I指数检验结果显示,有机质、全磷和全氮存在显著空间自相关,在空间上呈现聚集分布。所有肥力指标的空间分布较为连贯,条带状分布特征显著,总体呈现由边缘向中间降低趋势;相关性分析显示,土壤有机质、全磷、全氮、全钾与海拔、容重和植被类型呈显著相关性;回归分析表明,在所有环境因子中,容重对各类元素的方差解释最大,是影响千顷塘土壤肥力因子空间异质性的主控因素。研究可为南方丘陵地区人为...

关 键 词:自然保护区  土壤肥力指标  空间变异  影响因子
收稿时间:2021/3/31 0:00:00
修稿时间:2021/9/18 0:00:00

Spatial variability of soil fertility properties and its affecting factors of Qingliangfeng Nature Reserve, Zhejiang
Institution:The Nurturing Station for the State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China;Management Office, Qingliangfeng National Nature Reserve of Zhejiang, Lin''an 311321, China
Abstract:In order to explore the spatial heterogeneity of soil fertility properties and its affecting factors in Qianqingtang, the main habitat of wild sika deer of South China, in Qingliangfeng Nature Reserve. Based on the sampling data,using traditional statistics and geostatistical methods, the soil pH, soil organic matter (SOM), total phosphorus (TP), total nitrogen (TN), and total potassium (TK) were systematically analyzed. Moreover, the importance of the environmental factors influencing the variability and accumulation of soil fertility properties were studied. The results indicated that the soil in Qianqingtang Reserve was acidic on the whole, and the average contents of SOM, TP, TN and TK in the studied area were 72.44 g/kg, 0.45 g/kg, 1.91 g/kg and 23.16 g/kg, respectively. The content of each properties is relatively high, basically in the rich level. The coefficients of variation (C.V.s) of all studied soil fertility properties were at a moderate level. The results of semi-variance analysis indicated that the exponential model was the best-fit model for pH, TP, TN and TK while spherical model was the best-fit model for SOM. In addition, pH, TP and TK had strongly spatial autocorrelations which represented that their spatial variability was mainly dominated by structural factors. SOM and TN showed moderately spatial autocorrelations which indicated that the random factors had a certain influence. The results of the global Moran''s I index test showed that SOM, TP and TN had significant spatial autocorrelation, and presented an aggregated distribution in space which corresponded to the calculation results of the variable range. Kriging interpolation results showed the spatial distribution of all kinds of soil fertility properties were coherent and the trend of stripe distribution was obvious. The spatial distribution regularity showed a similarity of each soil fertility properties to some extent, the distribution showed a significant downward trend from the edge to the middle. The results of correlation analysis revealed that SOM, TP, TN, and TK in the study area had significant correlation with altitude, bulk density and stand types. Regression analysis showed that bulk density explained the highest variance of elements among all environmental factors, indicating that bulk density was the dominant controlling factor affecting the spatial heterogeneity of soil fertility properties in Qianqingtang Reserve. However, the overall explanatory degree of the research factors was low, indicating that the spatial variation of soil fertility properties was also affected by other factors. This study can provide important scientific information related to soil property characteristics and influencing factors in the southern hilly area with little human disturbance.
Keywords:nature reserve  soil fertility properties  spatial variation  influencing factors
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