福建西部山地水土流失区土壤呼吸的空间异质性

发布时间：2018-09-12 19:57

【摘要】：土壤呼吸(Rs)作用的空间异质性对于准确估算水土流失区碳收支具有重要意义.通过对长汀县河田镇59个样地的土壤呼吸及土壤全氮(TN)、碳氮比(C/N)、有机碳含量(SOC)、叶面积指数(LAI)、土壤温度(T_(10))、土壤湿度(W)等影响因子测定的基础上,运用传统和地统计学的方法分析了土壤呼吸及其影响因子的空间异质性.结果表明,Rs及其影响因子的变异程度大小依次为:LAISOCTNRsC/NT_(10)W;Rs与T_(10)呈极显著正相关(P0.01),与TN呈显著正相关(P0.05),与其他因子的相关性不显著(P0.05);TN、SOC和T_(10)这3个因子可以解释土壤呼吸27%的空间变化.地统计学分析结果表明:Rs具有中等程度的空间自相关性,结构性因子引起的空间异质性占52.89%,与随机因素的占比(47.11%)相当;Rs及其影响因子的分维数大小依次为:RsLAIC/NT_(10)SOCWTN;Rs的空间分布格局与TN和T_(10)的空间分布格局较为一致,而与C/N、SOC、LAI的空间分布格局不同.在95%置信水平和90%估计精度下,Rs的合理采样数量为62个.
[Abstract]:The spatial heterogeneity of (Rs) in soil respiration is of great significance to accurately estimate carbon budget in soil and water loss areas. Soil respiration, soil total nitrogen (TN),) C / N ratio (C / N), organic carbon content (SOC),) leaf area index (LAI), soil temperature (T _ (10),) and soil moisture (W) were measured in 59 plots of Hedan Town, Changting County, on the basis of soil respiration, soil total nitrogen (TN),) C / N ratio (C / N) and (SOC), leaf area index (LAI),). The spatial heterogeneity of soil respiration and its influencing factors was analyzed by traditional and geostatistical methods. The results showed that the degree of variation of TN and its influencing factors were: 1 / LAISOCTNRsC / NT10 WNRs and T10 were positively correlated with T10 (P0.01), significantly correlated with TN (P0.05), but not significantly correlated with other factors (P0.05), which could explain the spatial change of soil respiration (27%). The results of geostatistical analysis showed that the weight Rs had moderate spatial autocorrelation. The spatial heterogeneity caused by structural factors was 52.89%, which was equivalent to that of random factors (47.11%). The fractal dimension of RS and its influencing factors was: 1 / RsLAIC-NT10 SOCWTN;Rs. The spatial distribution pattern of RsLAIC-NT10 SOCWTN;Rs was consistent with that of TN and T10. However, the spatial distribution pattern is different from that of C / N SOC Lai. At 95% confidence level and 90% estimation accuracy, the reasonable sampling number of RS is 62.
【作者单位】：福建农林大学林学院;3S技术与资源优化利用福建省高校重点实验室;
【基金】：国家自然科学基金项目(41401385) 福建省教育厅A类项目(JA14126)
【分类号】：S154

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