Show simple item record

dc.contributor.authorUribeetxebarria Alonso de Armiño, Asier
dc.contributor.authorDaniele, Elisa
dc.contributor.authorEscolà i Agustí, Alexandre
dc.contributor.authorArnó Satorra, Jaume
dc.contributor.authorMartínez Casasnovas, José Antonio
dc.date.accessioned2018-05-03T09:27:41Z
dc.date.available2020-04-16T22:10:29Z
dc.date.issued2018
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/10459.1/63233
dc.description.abstractThe change from traditional to a more mechanized and technical agriculture has involved, in many cases, land transformations. This has supposed alteration of landforms and soils, with significant consequences. The effects of induced soil variability and the subsequent implications in site-specific crop management have not been sufficiently studied. The present work investigated the application of a resistivity soil sensor (Veris 3100), to map the apparent electrical conductivity (ECa), and detailed multispectral airborne images to analyse soil and crop spatial variability to assist in site-specific orchard management. The study was carried out in a peach orchard (Prunus persica (L.) Stokes), in an area transformed in the 1980 decade to change from rainfed arable crops to irrigated orchards. A total of 40 soil samples at two depths (0-30 cm and 30-60 cm) were analysed and compared to ECa and the normalised difference vegetation index (NDVI). Two types of statistical analysis were performed between ECa or NDVI classes with soil properties: a linear correlation analysis and multivariate analysis of variance (MANOVA). The results showed that the land transformation altered the spatial distribution and continuity of soil properties. Although a relationship between ECa and peach tree vigour could be expected, it was not found, even in the case of trees planted in soils with salts content above the tolerance threshold. Two types of management zones were proposed: a) zones delineated according to ECa classes to leach salts in the high ECa zones, and b) zones delineated according to NDVI classes to regulate tree vigour and yield. These strategies respond to the alteration of the original soil functions due to the land transformation carried out in previous years.
dc.description.sponsorshipThis work was funded by the Spanish Ministry of Economy and Competitiveness through the AgVANCE Project (AGL2013-48297-C2-2-R). We are also grateful to Frutas Hermanos Espax SL for the possibility to carry out the research in its farm and to the University of Lleida for funding the PhD scholarship of the first author.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relationMINECO/PN2013-2016/AGL2013-48297-C2-2-R
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.scitotenv.2018.04.153
dc.relation.ispartofScience of the Total Environment, 2018, vol. 635, p. 343-352
dc.rightscc-by-nc-nd (c) Elsevier, 2018
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLand use change
dc.subjectApparent electrical conductivity
dc.subjectMultispectral image
dc.subjectvegetation index
dc.titleSpatial variability in orchards after land transformation: consequences for precision agriculture practices
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2018-05-03T09:27:41Z
dc.identifier.idgrec026846
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2018.04.153


Files in this item

Thumbnail
Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

cc-by-nc-nd (c) Elsevier, 2018
Except where otherwise noted, this item's license is described as cc-by-nc-nd (c) Elsevier, 2018