Climate Change Data Portal
DOI | 10.1016/j.ecolind.2018.11.063 |
Interpretation of soil quality indicators for land suitability assessment - A multivariate approach for Central European arable soils | |
Juhos, Katalin1; Czigany, Szabolcs2; Madarasz, Balazs1,3; Ladanyi, Marta4 | |
发表日期 | 2019 |
ISSN | 1470-160X |
EISSN | 1872-7034 |
卷号 | 99页码:261-272 |
英文摘要 | Soils and their functions are critical to ensuring the provision of various ecosystem services. Many authors nevertheless argue that there is a lack of satisfactory operational methods for quantifying the contributions of soils to the supply of ecosystem services. Therefore, it is difficult to automate and standardize the mathematical and statistical methods for the selection of indicators and their scoring. Our objective is the development of a novel soil quality and ecological indicator selection and scoring method based on a database representing the most common Hungarian soils typical for arable lands of Central Europe (Chernozems, Phaeozems, Luvisols, Cambisols, Gleysols, Solonetz, Arenosols). For evaluation purposes, soil texture, depth to groundwater table, soil organic matter (SOM), pH, calcium carbonate equivalent (CCE), electrical conductivity (EC), Na, available N, P, K, Mg, S, Cu, Zn and Mn of 1045 plots representing a total land area of about 5000 ha at 0-30 cm layer were analyzed. We classified the samples into 25 soil types. Using correlation, principal component analysis and discriminant analysis the direction and strength of the intercorrelation of indicators and their combinations were determined. Indicators were classified into the following categories: (1) indicators that characterize nutrient retention and cation exchange capacity: texture, SOM, EC and Na; (2) available nutrients, relatively independent from management practices: K, Mg, Cu; (3) indicators that determine base saturation: pH, CCE, available Mn; (4) highly variable available nutrients: N, S, P, Zn. By reviewing the results of Hungarian long-term experiments, we interpreted the soil indicators as a function of agricultural suitability. Following the parameterized and nonlinear interpretation of the indicators, we analysed the variance of soils, in terms of their agricultural land suitability. According to the intercorrelation of input indicators and variance of scored indicators the minimum data set for soil quality assessment includes texture, depth of groundwater table, SOM, pH, Na, available K, P and Zn. In order to further advance our soil quality assessment model, our following goals target the determination the hierarchical ranking and grouping of soil parameters in a combined manner. |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
来源期刊 | ECOLOGICAL INDICATORS
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/95789 |
作者单位 | 1.Szent Istvan Univ, Fac Hort Sci, Dept Soil Sci & Water Management, 29-43 Villanyi St, H-1118 Budapest, Hungary; 2.Univ Pecs, Inst Geog & Earth Sci, Dept Phys & Environm Geog, 6 Ifjusag St, H-7624 Pecs, Hungary; 3.Hungarian Acad Sci, Inst Geog, Res Ctr Astron & Earth Sci, Budaorsi St 45, H-1112 Budapest, Hungary; 4.Szent Istvan Univ, Fac Hort Sci, Dept Biometr & Agr Informat, 29-43 Villanyi St, H-1118 Budapest, Hungary |
推荐引用方式 GB/T 7714 | Juhos, Katalin,Czigany, Szabolcs,Madarasz, Balazs,et al. Interpretation of soil quality indicators for land suitability assessment - A multivariate approach for Central European arable soils[J],2019,99:261-272. |
APA | Juhos, Katalin,Czigany, Szabolcs,Madarasz, Balazs,&Ladanyi, Marta.(2019).Interpretation of soil quality indicators for land suitability assessment - A multivariate approach for Central European arable soils.ECOLOGICAL INDICATORS,99,261-272. |
MLA | Juhos, Katalin,et al."Interpretation of soil quality indicators for land suitability assessment - A multivariate approach for Central European arable soils".ECOLOGICAL INDICATORS 99(2019):261-272. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。