A spatial sampling strategy for soil carbon flux estimation based on the region division

doi:10.13287/j.1001-9332.201708.007

Abstract

Abstract: Regional soil carbon flux can not be accurately estimated using traditional sampling methods due to the strong spatial heterogeneity of its spatial distribution, so it is significant to determine appropriate sampling strategies for the estimation of regional soil carbon flux. In this paper, a point-by-point incremental sampling strategy, region division based on point-growing (RDPG), was proposed. According to RDPG, initial sampling points were set firstly, the Delaunay triangulations were constructed using an improved convex hull interpolation algorithm, the discrete degree values at the intersection points of each side perpendicular bisectors of triangles were calculated with interpolation based on known values of sampling points, and then the point with the biggest discrete degree was chosen as a new sampling point. Using the RDPG method, multiple experiments were carried out in some simulation fields with coefficients of variation from 0.42 to 0.59. The results showed that, based on the same experimental conditions,compared with random sampling and uniform sampling strategies, the RDPG strategy could lead to higher accuracy of regional soil carbon flux estimation. The RDPG strategy took the spatial heterogeneity of soil carbon flux into account, which improved the fitting accuracy of regional soil carbon flux.

LI Nan, MO Lu-feng, WANG Guo-ying, ZHOU Jian, GAO Hong-di. A spatial sampling strategy for soil carbon flux estimation based on the region division[J]. Chinese Journal of Applied Ecology, 2017, 28(8): 2527-2534.

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