Reconstruction of historical soil surfaces and estimation of soil erosion rates with mound measurements and UAV photogrammetry in Mediterranean olive groves

dc.contributor.authorLima Francisco
dc.contributor.authorBlanco-Sepúlveda Rafael
dc.contributor.authorCalle Mikel
dc.contributor.authorAndújar Dionisio
dc.contributor.organizationfi=maantiede|en=Geography |
dc.contributor.organization-code1.2.246.10.2458963.20.17647764921
dc.converis.publication-id182185351
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/182185351
dc.date.accessioned2025-08-28T02:59:48Z
dc.date.available2025-08-28T02:59:48Z
dc.description.abstract<p>Soil water erosion is one of the most important environmental problems for the sustainability of Mediterranean olive groves on hillsides. Governments and public agencies recognize the need to control this process in order to improve soil conservation, especially in vulnerable areas. In the present study, a simple, inexpensive method using Structure-from-motion (SfM) and Unmanned Aerial Vehicle (UAV) technology was applied to quantify the soil loss rates provoked by water erosion and tillage in mountain olive groves, according to a reconstruction of their historical surface features. Specifically, the main study aims were: i) to quantify the historical soil loss in olive groves, by analysing residual tree mounds; ii) to consider how soil relief and management can influence the erosion process; iii) to determine the degree to which the proposed method achieves the above aims.</p><p>Analysis revealed a mean erosion rate in the study area of 127.69 t ha<sup>−1</sup> years<sup>−1</sup>, with a linear relationship between soil truncation and slope (R<sup>2</sup> = 0.64, <em>p</em> < 0.001). The highest soil loss rates (-1.67 ± 0.48 m) occurred in areas where the slopes were steepest (22.36 ± 4.46 %) and the longitudinal profile rectilinear. Erosion rates are determined not only by the slope, but also by its position and distance from the tree mound. This study highlights the need for differential management based on slope-feature considerations, in order to limit soil losses. Overall, the tool presented to support decision making provides an effective method for calculating erosion rates.</p>
dc.identifier.eissn1872-6259
dc.identifier.jour-issn0016-7061
dc.identifier.olddbid210039
dc.identifier.oldhandle10024/193066
dc.identifier.urihttps://www.utupub.fi/handle/11111/50137
dc.identifier.urlhttps://doi.org/10.1016/j.geoderma.2023.116708
dc.identifier.urnURN:NBN:fi-fe2025082792582
dc.language.isoen
dc.okm.affiliatedauthorCalle Navarro, Mikel
dc.okm.discipline1171 Geosciencesen_GB
dc.okm.discipline1171 Geotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherElsevier
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.articlenumber116708
dc.relation.doi10.1016/j.geoderma.2023.116708
dc.relation.ispartofjournalGeoderma
dc.relation.volume440
dc.source.identifierhttps://www.utupub.fi/handle/10024/193066
dc.titleReconstruction of historical soil surfaces and estimation of soil erosion rates with mound measurements and UAV photogrammetry in Mediterranean olive groves
dc.year.issued2023

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