Yao Xiong, Yu Kun-Yong, Zeng Qi, Yang Yu-Jie, Zhang Jin-Zhao, Liu Jian
College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
University Key Laboratory for Geomatics Technology and Optimize Resources Utilization in Fujian Province, Fuzhou 350002, China.
Huan Jing Ke Xue. 2016 Dec 8;37(12):4789-4799. doi: 10.13227/j.hjkx.201605005.
The spatial heterogeneity of soil respiration () is of great significance in accurately estimating the carbon budget in erosion areas. This study investigated the soil respiration (), total nitrogen (TN), carbon-nitrogen ratio (C/N), soil organic carbon content (SOC), leaf area index (LAI), soil temperature (), and soil moisture () in 59 soil samples collected from Hetian Town in Fujian Province. Both classical statistics and geostatistics were used to analyze the spatial heterogeneity of soil respirations and other measured factors. The variability of and other measured factors in the samples ranked from the largest to the smallest: LAI > SOC > TN > > C/N > > . was positively correlated with (<0.01) and with TN (<0.05), but not significantly correlated with other factors (>0.05); TN, SOC and could be used to explain the spatial variation of soil respiration among the samples. The results from geo-statistical analysis showed that was in a medium spatial autocorrelation, with 52.89% of spatial heterogeneity caused by structural factors and 47.11% of spatial heterogeneity resulted from random factor; the fractal dimensions of soil respiration and its interacted factors were ranked as: > LAI > C/N > > SOC > > TN; the spatial distribution patterns of were similar with those of TN and , but different from those of C/N, SOC or LAI. At the 95% confidence level and 90% estimation accuracy, the reasonable sampling number of was 62.
土壤呼吸（）的空间异质性对于准确估算侵蚀区域的碳收支具有重要意义。本研究调查了从福建省和田镇采集的59个土壤样本中的土壤呼吸（）、总氮（TN）、碳氮比（C/N）、土壤有机碳含量（SOC）、叶面积指数（LAI）、土壤温度（）和土壤湿度（）。采用经典统计学和地统计学方法分析土壤呼吸及其他测量因子的空间异质性。样本中 及其他测量因子的变异程度从大到小依次为：LAI>SOC>TN> >C/N> > 。 与 呈极显著正相关（<0.01），与TN呈显著正相关（<0.05），与其他因子无显著相关性（>0.05）；TN、SOC和 可用于解释样本间土壤呼吸的空间变异。地统计分析结果表明， 具有中等空间自相关性，52.89%的空间异质性由结构因子引起，47.11%的空间异质性由随机因子引起；土壤呼吸及其相互作用因子的分形维数排序为： >LAI>C/N> >SOC> >TN； 的空间分布格局与TN和 的相似，但与C/N、SOC或LAI的不同。在95%置信水平和90%估计精度下， 的合理采样数为62。
