气候变化领域集成服务门户(CCPortal): Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics

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DOI	10.5194/hess-23-2615-2019
	Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics
	Szabó B.; Szatmári G.; Takács K.; Laborczi A.; Makó A.; Rajkai K.; Pásztor L.
发表日期	2019
ISSN	1027-5606
起始页码	2615
结束页码	2635
卷号	23 期号:6
英文摘要	Spatial 3-D information on soil hydraulic properties for areas larger than plot scale is usually derived using indirect methods such as pedotransfer functions (PTFs) due to the lack of measured information on them. PTFs describe the relationship between the desired soil hydraulic parameter and easily available soil properties based on a soil hydraulic reference dataset. Soil hydraulic properties of a catchment or region can be calculated by applying PTFs on available soil maps. Our aim was to analyse the performance of (i) indirect (using PTFs) and (ii) direct (geostatistical) mapping methods to derive 3-D soil hydraulic properties. The study was performed on the Balaton catchment area in Hungary, where density of measured soil hydraulic data fulfils the requirements of geostatistical methods. Maps of saturated water content (0 cm matric potential), field capacity (-330 cm matric potential) and wilting point (-15 000 cm matric potential) for 0-30, 30-60 and 60-90 cm soil depth were prepared. PTFs were derived using the random forest method on the whole Hungarian soil hydraulic dataset, which includes soil chemical, physical, taxonomical and hydraulic properties of some 12 000 samples complemented with information on topography, climate, parent material, vegetation and land use. As a direct and thus geostatistical method, random forest combined with kriging (RFK) was applied to 359 soil profiles located in the Balaton catchment area. There were no significant differences between the direct and indirect methods in six out of nine maps having root-mean-square-error values between 0.052 and 0.074 cm3 cm-3, which is in accordance with the internationally accepted performance of hydraulic PTFs. The PTF-based mapping method performed significantly better than the RFK for the saturated water content at 30-60 and 60-90 cm soil depth; in the case of wilting point the RFK outperformed the PTFs at 60-90 cm depth. Differences between the PTF-based and RFK mapped values are less than 0.025 cm3 cm-3 for 65 %-86 % of the catchment. In RFK, the uncertainty of input environmental covariate layers is less influential on the mapped values, which is preferable. In the PTF-based method the uncertainty of mapping soil hydraulic properties is less computationally intensive. Detailed comparisons of maps derived from the PTF-based method and the RFK are presented in this paper. © Author(s) 2019.
语种	英语
scopus关键词	Catchments; Decision trees; Land use; Mapping; Mean square error; Runoff; Topography; Direct and indirect methods; Geostatistical method; Hydraulic properties; Pedotransfer functions; Random forest methods; Root mean square errors; Soil hydraulic parameters; Soil hydraulic properties; Soils; catchment; covariance analysis; data set; field capacity; geostatistics; hydraulic property; kriging; mapping method; soil depth; soil water; Hungary
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159666
作者单位	Szabó, B., Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15, Budapest, 1022, Hungary, Georgikon Faculty, University of Pannonia, Deák Ferenc u. 16, Keszthely, 8360, Hungary; Szatmári, G., Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15, Budapest, 1022, Hungary; Takács, K., Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15, Budapest, 1022, Hungary; Laborczi, A., Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15, Budapest, 1022, Hungary; Makó, A., Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15, Budapest, 1022, Hungary, Georgikon Faculty, University of Pannonia, Deá...
推荐引用方式 GB/T 7714	Szabó B.,Szatmári G.,Takács K.,et al. Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics[J],2019,23(6).
APA	Szabó B..,Szatmári G..,Takács K..,Laborczi A..,Makó A..,...&Pásztor L..(2019).Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics.Hydrology and Earth System Sciences,23(6).
MLA	Szabó B.,et al."Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics".Hydrology and Earth System Sciences 23.6(2019).