Publicação
Comparison of spatial interpolators for variability analysis of soil chemical properties in Cuamba (Mozambique)
| Resumo: | The knowledge of spatial distribution of soil attributes, particularly chemical ones, which is very relevant for agricultural planning. Several studies have focused on spatial interpolation of soil properties, but only a few of them have been undertaken in sub-Saharan Africa. This study aims to analyse the spatial variability of hydrogen potential (pH) and electric conductivity (EC) within an agricultural region in Cuamba district of Mozambique. Efficiency of a deterministic and a stochastic interpolator were compared, namely Inverse Distance Weighting (IDW) and Ordinary kriging, respectively. Soil samples were collected at random locations scattered through the study region, and were later analyzed in water and soil laboratory. These point data were then used to produce interpolated surfaces of soil chemical properties. Efficiency of spatial interpolation methods was assessed based on prediction errors’ statistics derived from cross-validation. Results show that ordinary kriging was less biased and more accurate than IDW at samples’ locations. Hence, maps produced using the former method are a valuable contribution for the spatial characterization of soil quality, according to its chemical properties. Considering the spatial patterns of pH, southeast area is characterized by clayey soils, which has a high fertility potential for food crops. |
|---|---|
| Autores principais: | Costa, Ana Cristina |
| Outros Autores: | Bofana, José do Rosário |
| Assunto: | Agricultural and Biological Sciences (miscellaneous) SDG 15 - Life on Land |
| Ano: | 2017 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1868982836704313344 |
|---|---|
| author | Costa, Ana Cristina |
| author2 | Bofana, José do Rosário |
| author2_role | author |
| author_facet | Costa, Ana Cristina Bofana, José do Rosário |
| author_role | author |
| contributor_name_str_mv | NOVA Information Management School (NOVA IMS) Academic Journals RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Costa, Ana Cristina\"},{\"Person.name\":\"Bofana, José do Rosário\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | NOVA Information Management School (NOVA IMS) Academic Journals RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Costa, Ana Cristina Bofana, José do Rosário |
| datacite.date.Accepted.fl_str_mv | 2017-06-22T00:00:00Z |
| datacite.date.available.fl_str_mv | 2018-01-11T23:23:04Z |
| datacite.date.embargoed.fl_str_mv | 2018-01-11T23:23:04Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Agricultural and Biological Sciences (miscellaneous) SDG 15 - Life on Land |
| datacite.titles.title.fl_str_mv | Comparison of spatial interpolators for variability analysis of soil chemical properties in Cuamba (Mozambique) |
| dc.contributor.none.fl_str_mv | NOVA Information Management School (NOVA IMS) Academic Journals RUN |
| dc.creator.none.fl_str_mv | Costa, Ana Cristina Bofana, José do Rosário |
| dc.date.Accepted.fl_str_mv | 2017-06-22T00:00:00Z |
| dc.date.available.fl_str_mv | 2018-01-11T23:23:04Z |
| dc.date.embargoed.fl_str_mv | 2018-01-11T23:23:04Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/28029 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Agricultural and Biological Sciences (miscellaneous) SDG 15 - Life on Land |
| dc.title.fl_str_mv | Comparison of spatial interpolators for variability analysis of soil chemical properties in Cuamba (Mozambique) |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | The knowledge of spatial distribution of soil attributes, particularly chemical ones, which is very relevant for agricultural planning. Several studies have focused on spatial interpolation of soil properties, but only a few of them have been undertaken in sub-Saharan Africa. This study aims to analyse the spatial variability of hydrogen potential (pH) and electric conductivity (EC) within an agricultural region in Cuamba district of Mozambique. Efficiency of a deterministic and a stochastic interpolator were compared, namely Inverse Distance Weighting (IDW) and Ordinary kriging, respectively. Soil samples were collected at random locations scattered through the study region, and were later analyzed in water and soil laboratory. These point data were then used to produce interpolated surfaces of soil chemical properties. Efficiency of spatial interpolation methods was assessed based on prediction errors’ statistics derived from cross-validation. Results show that ordinary kriging was less biased and more accurate than IDW at samples’ locations. Hence, maps produced using the former method are a valuable contribution for the spatial characterization of soil quality, according to its chemical properties. Considering the spatial patterns of pH, southeast area is characterized by clayey soils, which has a high fertility potential for food crops. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/aebe8eb1-7f83-4ced-a9f9-35f3e9133551/download |
| id | run_8a847b9512906b48ec6ca2ccc78f9ee4 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/28029 |
| inst_facet_str | urn:organizationAcronym:unl{{{_:::_}}}Universidade Nova de Lisboa |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/28029 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Costa, Ana Cristina Bofana, José do Rosário |
| publishDate | 2017 |
| repo_facet_str | urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL |
| reponame_str | Repositório Institucional da UNL |
| repository_id_str | urn:repositoryAcronym:run |
| service_str_mv | urn:repositoryAcronym:run |
| spelling | engenThe knowledge of spatial distribution of soil attributes, particularly chemical ones, which is very relevant for agricultural planning. Several studies have focused on spatial interpolation of soil properties, but only a few of them have been undertaken in sub-Saharan Africa. This study aims to analyse the spatial variability of hydrogen potential (pH) and electric conductivity (EC) within an agricultural region in Cuamba district of Mozambique. Efficiency of a deterministic and a stochastic interpolator were compared, namely Inverse Distance Weighting (IDW) and Ordinary kriging, respectively. Soil samples were collected at random locations scattered through the study region, and were later analyzed in water and soil laboratory. These point data were then used to produce interpolated surfaces of soil chemical properties. Efficiency of spatial interpolation methods was assessed based on prediction errors’ statistics derived from cross-validation. Results show that ordinary kriging was less biased and more accurate than IDW at samples’ locations. Hence, maps produced using the former method are a valuable contribution for the spatial characterization of soil quality, according to its chemical properties. Considering the spatial patterns of pH, southeast area is characterized by clayey soils, which has a high fertility potential for food crops.application/pdfenComparison of spatial interpolators for variability analysis of soil chemical properties in Cuamba (Mozambique)Costa, Ana CristinaBofana, José do RosárioNOVA Information Management School (NOVA IMS)Academic JournalsHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptISSNIsPartOf1991-637XURNIsPartOfPURE: 3264119URNIsPartOfPURE UUID: fa97fc59-2549-40cc-b593-9413e3ed6f44URNIsPartOfORCID: /0000-0003-2904-1028/work/46061003DOIIsPartOf10.5897/AJAR2016.124152018-01-11T23:23:04Z2017-06-222017-06-22T00:00:00ZHandlehttp://hdl.handle.net/10362/28029http://purl.org/coar/access_right/c_abf2open accessAgricultural and Biological Sciences (miscellaneous)SDG 15 - Life on Land961278 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/aebe8eb1-7f83-4ced-a9f9-35f3e9133551/download |
| spellingShingle | Comparison of spatial interpolators for variability analysis of soil chemical properties in Cuamba (Mozambique) Costa, Ana Cristina Agricultural and Biological Sciences (miscellaneous) SDG 15 - Life on Land |
| status | SINGLETON |
| subject.fl_str_mv | Agricultural and Biological Sciences (miscellaneous) SDG 15 - Life on Land |
| title | Comparison of spatial interpolators for variability analysis of soil chemical properties in Cuamba (Mozambique) |
| title_full | Comparison of spatial interpolators for variability analysis of soil chemical properties in Cuamba (Mozambique) |
| title_fullStr | Comparison of spatial interpolators for variability analysis of soil chemical properties in Cuamba (Mozambique) |
| title_full_unstemmed | Comparison of spatial interpolators for variability analysis of soil chemical properties in Cuamba (Mozambique) |
| title_short | Comparison of spatial interpolators for variability analysis of soil chemical properties in Cuamba (Mozambique) |
| title_sort | Comparison of spatial interpolators for variability analysis of soil chemical properties in Cuamba (Mozambique) |
| topic | Agricultural and Biological Sciences (miscellaneous) SDG 15 - Life on Land |
| topic_facet | Agricultural and Biological Sciences (miscellaneous) SDG 15 - Life on Land |
| url | http://hdl.handle.net/10362/28029 |
| visible | 1 |