伏牛山森林土壤有机碳密度与环境因子的关联性分析

田耀武; 刘谊锋; 王聪; 王罡; 和武宇恒

doi:10.3969/j.issn.1000-2006.201709057

田耀武,刘谊锋,王聪,王罡,和武宇恒

南京林业大学学报（自然科学版） ›› 2019, Vol. 43 ›› Issue (01) : 83-90.

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南京林业大学学报（自然科学版） ›› 2019, Vol. 43 ›› Issue (01) : 83-90. DOI: 10.3969/j.issn.1000-2006.201709057

研究论文

伏牛山森林土壤有机碳密度与环境因子的关联性分析

田耀武,刘谊锋,王聪,王罡,和武宇恒

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Correlation between forest soil organic carbon density and environmental factors in Funiu Mountain, Henan Province

TIAN Yaowu,LIU Yifeng,WANG Cong,WANG Gang,HE Wuyuheng

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摘要

【目的】建立森林土壤有机碳(SOC)密度与环境因子之间的回归关系,为快速评估森林土壤有机碳密度的空间分布提供理论参考。【方法】在河南省伏牛山区玉皇顶和鸡角尖山体上,设置21块不同海拔、树种、地形等环境因子的典型样地,测定各样地不同深度土层的SOC密度,分析SOC密度与环境因子之间的回归关系,确定预测土壤有机碳密度的一般性因子。【结果】研究区0～40 cm深度的土壤有机碳密度变化范围为8.93～14.38 kg/m²,平均值为11.52 kg/m²。树种类型、山体间的SOC密度差异不显著,同一树种SOC密度与同一山体方位、坡度等地形因子回归关系显著; 所有样地SOC密度与树木密度、凋落物厚度和叶面积指数等植被因子回归关系显著,与地形因子回归关系不显著; SOC密度与植被因子间的回归关系可解释73.3%的针叶林地SOC密度的变异,76.7%的阔叶林地SOC密度变异,以及71.8%的研究区所有林地的SOC密度变异。【结论】同一山体同一树种SOC密度,可以用方位、坡度等地形因子来描述; 同一山体不同树种或不同山体不同树种林地的SOC密度,可以用植被因子来描述; 植被因子是土壤有机碳密度预测的一般性因子,可以通过遥感等手段快速评估复杂地形内土壤有机碳的空间分布。

Abstract

【Objective】 The aim of this study was to determine the spatial distribution of soil organic carbon(SOC)density in the Funiu Mountain area in Henan Province and create a regression model between SOC density and environmental factors. This will provide a theoretical reference for the rapid assessment of the spatial distribution of SOC density in forests. 【Method】Twenty-one plots were demarcated on Yuhuangding Mountain and Jijiaojian Mountain in the Funiu Mountain area based on factors such as elevation, vegetation and topography. Environmental factors such as climate, topography, vegetation and soil were investigated and the SOC densities in the plots were measured. Correlations between the SOC density and environmental factors were analyzed. 【Result】The average SOC density of forest soil was 11.52 kg/m² in 0-40 cm depth and there were no significant difference in SOC density among plots depending on location(on different mountains)and vegetation types. Topographic factors(aspect and slope)explained the spatial distribution of the SOC for plots within the same mountain but not for plots on different mountains. The SOC density was closely related to aboveground vegetation properties, and the regression model can explain 73.3% of the variability in the SOC density in all 10 coniferous plots in both mountains, 76.7% of the variability in all 11 broad-leaved plots, and 71.8% of the variability in all 21 plots. 【Conclusion】Topographic factors were closely related to the SOC density for plots within the same mountain. Vegetation properties were consistently and closely related to the SOC under both vegetation types and on different mountains. Aboveground vegetation properties can be used to estimate the SOC stocks in complex mountainous forests across different spatial scales. This suggests that measuring vegetation properties by remote sensing could represent a feasible and rapid method for estimating SOC distribution in a rugged terrain.

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田耀武,刘谊锋,王聪,王罡,和武宇恒. 伏牛山森林土壤有机碳密度与环境因子的关联性分析[J]. 南京林业大学学报（自然科学版）. 2019, 43(01): 83-90 https://doi.org/10.3969/j.issn.1000-2006.201709057

TIAN Yaowu,LIU Yifeng,WANG Cong,WANG Gang,HE Wuyuheng. Correlation between forest soil organic carbon density and environmental factors in Funiu Mountain, Henan Province[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2019, 43(01): 83-90 https://doi.org/10.3969/j.issn.1000-2006.201709057

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基金

收稿日期:2017-09-28 修回日期:2018-11-07基金项目:国家自然科学基金项目(31670616)。第一作者:田耀武(tianyaowu@126.com),副教授,博士,ORCID(0000-0002-0908-5982)。引文格式:田耀武,刘谊锋,王聪,等. 伏牛山森林土壤有机碳密度与环境因子的关联性分析[J]. 南京林业大学学报(自然科学版),2019,43(1):83-90.