基于湿度分布特征的小尺度土壤碳通量空间采样策略

发布时间：2018-03-16 08:03

本文选题：土壤呼吸　切入点：采样策略　出处：《生态学报》2016年19期 　论文类型：期刊论文

【摘要】：由于土壤碳通量的空间异质性很强,传统的随机抽样方法无法对区域土壤碳通量进行准确估算,而多点采样需耗费大量的人力及设备成本,因此确定适当的采样点数量及分布策略对于区域土壤碳通量的测算非常重要。提出一种基于湿度空间分布特征的小尺度土壤碳通量空间采样策略:首先利用无线传感网密集测量区域的土壤湿度,根据湿度数据的空间分布特征划分监测区域,通过Hammond Mc Cullagh方程计算各子区域内的最优采样点数量,最终确定整个监测区域的空间采样点部署策略。提出的方法考虑了各子区域间土壤碳通量空间分布的差异,使得采样点的部署位置与土壤碳通量的分布具有较好的相关性。研究结果证明:土壤碳通量部署策略能够获得比均匀部署策略、随机部署策略更高的区域土壤碳通量估算准确度。
[Abstract]:Because of the strong spatial heterogeneity of soil carbon flux, the traditional random sampling method can not accurately estimate the soil carbon flux, and multi-point sampling requires a lot of manpower and equipment costs. Therefore, it is very important to determine the number and distribution of sampling points for the measurement of regional soil carbon fluxes. A small scale spatial sampling strategy based on the spatial distribution of moisture is proposed: firstly, wireless is used to measure soil carbon fluxes. Dense measurement of soil moisture in the area by the sensor network, According to the spatial distribution characteristics of humidity data, the monitoring area is divided, and the number of optimal sampling points in each sub-region is calculated by Hammond Mc Cullagh equation. Finally, the spatial sampling point deployment strategy of the whole monitoring area is determined. The proposed method takes into account the spatial distribution differences of soil carbon fluxes among subregions. The results show that the soil carbon flux deployment strategy can obtain more uniform deployment strategy than uniform deployment strategy. Higher accuracy of regional soil carbon flux estimation with random deployment strategy.
【作者单位】：浙江农林大学信息工程学院;绍兴市市政工程管理处;西安交通大学电子与信息工程学院;
【基金】：国家林业局948项目(2013-4-71) 国家自然科学基金项目(61303236) 浙江省科技计划项目重大科技专项(2012C13011-1) 浙江省新苗人才计划项目(2013R412052)
【分类号】：S154.1

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