Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/land11010005 |
Soil Quality and Evaluation of Spatial Variability in a Semi-Arid Ecosystem in a Region of the Southeastern Iberian Peninsula (Spain) | |
Santos-Frances, Fernando; Martinez-Grana, Antonio; avila-Zarza, Carmelo; Criado, Marco; Sanchez-Sanchez, Yolanda | |
通讯作者 | Martinez-Grana, A (corresponding author),Univ Salamanca, Fac Sci, Dept Geol, Plaza Merced S-N, Salamanca 37008, Spain. |
来源期刊 | LAND |
EISSN | 2073-445X |
出版年 | 2022 |
卷号 | 11期号:1 |
英文摘要 | In the last two decades, as the importance of soil has been recognized as a key component of any ecosystem, there has been an increased global demand to establish criteria for determining soil quality and to develop quantitative indices that can be used to classify and compare that quality in different places. The preliminary estimation of the attributes involved in soil quality was made taking into account the opinion of the experts and our own experience in a semi-arid ecosystem. In this study, 16 soil properties have been selected as potential indicators of soil quality, in a region between Campo de Montiel and Sierra de Alcaraz (Spain): sand and clay percentage, pH, electrical conductivity (EC), soil organic carbon (OC), extractables bases of change (Na, K, Ca and Mg), cationic exchange capacity (CEC), carbonate calcium equivalent (CCE), bulk density (BD), water retention at 33 kPa field capacity and 1500 kPa permanent wither point (GWC33 kPa and GWC1500 kPa), coefficient of linear extensibility (COLE) and factor of soil erodibility (K). The main objective has been to develop an adequate index to characterize the quality of the soils in a semi-arid Mediterranean ecosystem. The preliminary estimation of the attributes involved in soil quality was made considering the opinion of the experts and our own experience in semi-arid ecosystems. Two indicator selection approaches have been used to develop the Soil Quality Index (SQI) (total data set -TDS- and minimum data set -MDS-), scoring functions (linear -L- and nonlinear -NL-) and methods (additive -A-, additive weighted -W- and Nemoro -N-. The quality indices have been calculated, considering the properties of the soil control section (between 0 and 100 cm depth), using 185 samples, belonging to horizons A, B and C of 51 soil profiles. The results have shown that the election of the soil properties, both of the topsoil and subsoil, is an important help in establishing a good relationship between quality, soil functions and agricultural management. The Kriging method has been used to determinate the spatial distribution of the soil quality grades. The indices that best reflect the state of soil quality are the TDS-L-W and TDS-L-A should go as sub-indices, as they are the most accurate indices and provide the most consistent results. These indices are especially indicated when carrying out detailed or semi-detailed studies. However, the MDS-L-W and MDS-L-A should go as sub-indices, which use only a limited number of indicators, are best for large-scale studies. The indicators with the greatest influence on soil quality for different land uses and those developed on different rocks, using linear scoring functions, are the following: (Clay), (GWC1500 kPa) and (Ca). These results can also be expressed as follows: the best soils in this region are deep soils, with a clay texture, with high water retention and a neutral or slightly basic pH. However, the indicators with the greatest influence on soil quality, using nonlinear scoring functions, are: (OC Stock), (Ca) and (CaCO3). In other words, the most important indicator is the organic carbon content, which is not logical in the case of a region in which the soils have an excessively low SOC content (0.86%). |
英文关键词 | soil quality land use parent material semiarid ecosystem factor analysis spatial distribution |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SSCI |
WOS记录号 | WOS:000746360600001 |
WOS关键词 | MINIMUM DATA SET ; ORGANIC-MATTER ; INDEX ; INDICATORS ; MANAGEMENT ; HEALTH ; DEGRADATION ; TILLAGE ; SYSTEMS ; IDENTIFICATION |
WOS类目 | Environmental Studies |
WOS研究方向 | Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/376754 |
作者单位 | [Santos-Frances, Fernando; Criado, Marco] Univ Salamanca, Fac Agr & Environm Sci, Dept Soil Sci, Ave Filiberto Villalobos 119, Salamanca 37007, Spain; [Martinez-Grana, Antonio; Sanchez-Sanchez, Yolanda] Univ Salamanca, Fac Sci, Dept Geol, Plaza Merced S-N, Salamanca 37008, Spain; [avila-Zarza, Carmelo] Univ Salamanca, Fac Agr & Environm Sci, Dept Stat, Ave Filiberto Villalobos 119, Salamanca 37008, Spain |
推荐引用方式 GB/T 7714 | Santos-Frances, Fernando,Martinez-Grana, Antonio,avila-Zarza, Carmelo,et al. Soil Quality and Evaluation of Spatial Variability in a Semi-Arid Ecosystem in a Region of the Southeastern Iberian Peninsula (Spain)[J],2022,11(1). |
APA | Santos-Frances, Fernando,Martinez-Grana, Antonio,avila-Zarza, Carmelo,Criado, Marco,&Sanchez-Sanchez, Yolanda.(2022).Soil Quality and Evaluation of Spatial Variability in a Semi-Arid Ecosystem in a Region of the Southeastern Iberian Peninsula (Spain).LAND,11(1). |
MLA | Santos-Frances, Fernando,et al."Soil Quality and Evaluation of Spatial Variability in a Semi-Arid Ecosystem in a Region of the Southeastern Iberian Peninsula (Spain)".LAND 11.1(2022). |
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