Insights into the Spatial and Temporal Variability of Soil Attributes in Irrigated Farm Fields and Correlations with Management Practices: A Multivariate Statistical Approach
The evaluation of the spatial and temporal variability of soil properties can be valuable to improve crop productivity and soil health. A study of soil properties was carried out in southern Portugal, in three farm fields with irrigated annual crops (layers 0–20 cm and 20–40 cm), over three years. F...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
|
| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/14/20/3216 |
| _version_ | 1797469553550163968 |
|---|---|
| author | Alexandra Tomaz Inês Martins Adriana Catarino Clarisse Mourinha José Dôres Marta Fabião Luís Boteta João Coutinho Manuel Patanita Patrícia Palma |
| author_facet | Alexandra Tomaz Inês Martins Adriana Catarino Clarisse Mourinha José Dôres Marta Fabião Luís Boteta João Coutinho Manuel Patanita Patrícia Palma |
| author_sort | Alexandra Tomaz |
| collection | DOAJ |
| description | The evaluation of the spatial and temporal variability of soil properties can be valuable to improve crop productivity and soil health. A study of soil properties was carried out in southern Portugal, in three farm fields with irrigated annual crops (layers 0–20 cm and 20–40 cm), over three years. Factor Analysis (FA) and Discriminant Analysis (DA) were used to analyze the data. With FA, the observed variables were grouped into a smaller number of latent variables related to soil attributes. Discriminant Analysis was used to classify and identify the most dominant attributes and indicators for the time and space variability of soil parameters. The FA performed for the surface layer included factors related to texture, water and nutrient retention capacity, chemical composition, and soil fertility. In the sub-surface layer, the factor structure was similar, with four factors related to texture, chemical composition, nutrient availability, and soil fertility. The most influential factors and variables in temporal discrimination (sampling dates) in both layers were those related to chemical composition, with electric conductivity as the preponderant indicator. As for the spatial differentiation (fields), the dominant factor in the surface layer was texture, and in the sub-surface layer, nutrient availability. The most important discriminant indicators of spatial variability were fine sand proportion and available potassium, respectively, for the surface and sub-surface layers. The results obtained showed potential for the multidimensional and integrated assessment of patterns of temporal and spatial variation of soil functions from agricultural practices or soil degradation processes. |
| first_indexed | 2024-03-09T19:22:57Z |
| format | Article |
| id | doaj.art-786a7516fc0149f19e3708f2a50f54ae |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-09T19:22:57Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-786a7516fc0149f19e3708f2a50f54ae2023-11-24T03:11:44ZengMDPI AGWater2073-44412022-10-011420321610.3390/w14203216Insights into the Spatial and Temporal Variability of Soil Attributes in Irrigated Farm Fields and Correlations with Management Practices: A Multivariate Statistical ApproachAlexandra Tomaz0Inês Martins1Adriana Catarino2Clarisse Mourinha3José Dôres4Marta Fabião5Luís Boteta6João Coutinho7Manuel Patanita8Patrícia Palma9Instituto Politécnico de Beja, Escola Superior Agrária de Beja, Rua Pedro Soares, 7800-295 Beja, PortugalInstituto Politécnico de Beja, Escola Superior Agrária de Beja, Rua Pedro Soares, 7800-295 Beja, PortugalInstituto Politécnico de Beja, Escola Superior Agrária de Beja, Rua Pedro Soares, 7800-295 Beja, PortugalInstituto Politécnico de Beja, Escola Superior Agrária de Beja, Rua Pedro Soares, 7800-295 Beja, PortugalInstituto Politécnico de Beja, Escola Superior Agrária de Beja, Rua Pedro Soares, 7800-295 Beja, PortugalCentro Operativo e de Tecnologia de Regadio, Quinta da Saúde, Apartado 354, 7800-999 Beja, PortugalCentro Operativo e de Tecnologia de Regadio, Quinta da Saúde, Apartado 354, 7800-999 Beja, PortugalCentro de Química, Universidade de Trás-os-Montes e Alto Douro, Quinta de Prados, 5000-801 Vila Real, PortugalInstituto Politécnico de Beja, Escola Superior Agrária de Beja, Rua Pedro Soares, 7800-295 Beja, PortugalInstituto Politécnico de Beja, Escola Superior Agrária de Beja, Rua Pedro Soares, 7800-295 Beja, PortugalThe evaluation of the spatial and temporal variability of soil properties can be valuable to improve crop productivity and soil health. A study of soil properties was carried out in southern Portugal, in three farm fields with irrigated annual crops (layers 0–20 cm and 20–40 cm), over three years. Factor Analysis (FA) and Discriminant Analysis (DA) were used to analyze the data. With FA, the observed variables were grouped into a smaller number of latent variables related to soil attributes. Discriminant Analysis was used to classify and identify the most dominant attributes and indicators for the time and space variability of soil parameters. The FA performed for the surface layer included factors related to texture, water and nutrient retention capacity, chemical composition, and soil fertility. In the sub-surface layer, the factor structure was similar, with four factors related to texture, chemical composition, nutrient availability, and soil fertility. The most influential factors and variables in temporal discrimination (sampling dates) in both layers were those related to chemical composition, with electric conductivity as the preponderant indicator. As for the spatial differentiation (fields), the dominant factor in the surface layer was texture, and in the sub-surface layer, nutrient availability. The most important discriminant indicators of spatial variability were fine sand proportion and available potassium, respectively, for the surface and sub-surface layers. The results obtained showed potential for the multidimensional and integrated assessment of patterns of temporal and spatial variation of soil functions from agricultural practices or soil degradation processes.https://www.mdpi.com/2073-4441/14/20/3216irrigationsoil indicatorsfactor analysisdiscriminant analysisagronomical practicessoil health |
| spellingShingle | Alexandra Tomaz Inês Martins Adriana Catarino Clarisse Mourinha José Dôres Marta Fabião Luís Boteta João Coutinho Manuel Patanita Patrícia Palma Insights into the Spatial and Temporal Variability of Soil Attributes in Irrigated Farm Fields and Correlations with Management Practices: A Multivariate Statistical Approach Water irrigation soil indicators factor analysis discriminant analysis agronomical practices soil health |
| title | Insights into the Spatial and Temporal Variability of Soil Attributes in Irrigated Farm Fields and Correlations with Management Practices: A Multivariate Statistical Approach |
| title_full | Insights into the Spatial and Temporal Variability of Soil Attributes in Irrigated Farm Fields and Correlations with Management Practices: A Multivariate Statistical Approach |
| title_fullStr | Insights into the Spatial and Temporal Variability of Soil Attributes in Irrigated Farm Fields and Correlations with Management Practices: A Multivariate Statistical Approach |
| title_full_unstemmed | Insights into the Spatial and Temporal Variability of Soil Attributes in Irrigated Farm Fields and Correlations with Management Practices: A Multivariate Statistical Approach |
| title_short | Insights into the Spatial and Temporal Variability of Soil Attributes in Irrigated Farm Fields and Correlations with Management Practices: A Multivariate Statistical Approach |
| title_sort | insights into the spatial and temporal variability of soil attributes in irrigated farm fields and correlations with management practices a multivariate statistical approach |
| topic | irrigation soil indicators factor analysis discriminant analysis agronomical practices soil health |
| url | https://www.mdpi.com/2073-4441/14/20/3216 |
| work_keys_str_mv | AT alexandratomaz insightsintothespatialandtemporalvariabilityofsoilattributesinirrigatedfarmfieldsandcorrelationswithmanagementpracticesamultivariatestatisticalapproach AT inesmartins insightsintothespatialandtemporalvariabilityofsoilattributesinirrigatedfarmfieldsandcorrelationswithmanagementpracticesamultivariatestatisticalapproach AT adrianacatarino insightsintothespatialandtemporalvariabilityofsoilattributesinirrigatedfarmfieldsandcorrelationswithmanagementpracticesamultivariatestatisticalapproach AT clarissemourinha insightsintothespatialandtemporalvariabilityofsoilattributesinirrigatedfarmfieldsandcorrelationswithmanagementpracticesamultivariatestatisticalapproach AT josedores insightsintothespatialandtemporalvariabilityofsoilattributesinirrigatedfarmfieldsandcorrelationswithmanagementpracticesamultivariatestatisticalapproach AT martafabiao insightsintothespatialandtemporalvariabilityofsoilattributesinirrigatedfarmfieldsandcorrelationswithmanagementpracticesamultivariatestatisticalapproach AT luisboteta insightsintothespatialandtemporalvariabilityofsoilattributesinirrigatedfarmfieldsandcorrelationswithmanagementpracticesamultivariatestatisticalapproach AT joaocoutinho insightsintothespatialandtemporalvariabilityofsoilattributesinirrigatedfarmfieldsandcorrelationswithmanagementpracticesamultivariatestatisticalapproach AT manuelpatanita insightsintothespatialandtemporalvariabilityofsoilattributesinirrigatedfarmfieldsandcorrelationswithmanagementpracticesamultivariatestatisticalapproach AT patriciapalma insightsintothespatialandtemporalvariabilityofsoilattributesinirrigatedfarmfieldsandcorrelationswithmanagementpracticesamultivariatestatisticalapproach |