Mapping and quantifying medium-term soil loss rates in mountain olive groves using unmanned aerial vehicle technology

Olive groves are one of the main agroecosystems in the Mediterranean region, but water erosion, aggravated by inappropriate soil management, is compromising the environmental sustainability of these crops. National and international public organisations, including the European Union via its Common A...

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Detalles Bibliográficos
Autores: Lima, Francisco, Blanco-Sepúlveda, Rafael, Andújar, Dionisio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/375013
Acceso en línea:http://hdl.handle.net/10261/375013
Access Level:acceso abierto
Palabra clave:Water erosion
Tillage erosion
Tree mounds
Structure-from-motion (SfM)
Soil loss rates
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spelling Mapping and quantifying medium-term soil loss rates in mountain olive groves using unmanned aerial vehicle technologyLima, FranciscoBlanco-Sepúlveda, RafaelAndújar, DionisioWater erosionTillage erosionTree moundsStructure-from-motion (SfM)Soil loss ratesOlive groves are one of the main agroecosystems in the Mediterranean region, but water erosion, aggravated by inappropriate soil management, is compromising the environmental sustainability of these crops. National and international public organisations, including the European Union via its Common Agricultural Policy, have acknowledged the problem and recognise the need to quantify the effects of this process. However, the variability of currently available short-term soil erosion measurements, together with limited understanding of the underlying processes, mean there is considerable uncertainty about the long-term effects of soil erosion. This paper presents an innovative procedure called SERHOLIVE4.0 designed to measure and model long-term soil erosion rates in olive groves, by means of structure-from-motion (SfM) techniques by which image information is obtained from unmanned aerial vehicles (UAVs). For the present study, the procedure was evaluated in mountain olive groves, where the erosion rate was calculated from historical surface reconstructions. Overall, this approach was found to be practical and effective. The method includes the following steps: [1] measure the current relief using UAV technology; [2] reconstruct the historical relief from field measurements; [3] calculate soil truncation (h) and obtain a soil erosion rate map; [4] determine the erosive dynamics of the slope and establish the relation between tree truncation, slope and mounds. The method we describe presents the following advantages: • it quantifies soil losses by reference to existing tree mounds; • it is straightforward to apply; • its application enhances the calibration of erosion modelsThis research has been funded by the Organismo Autónomo de Parques Nacionales (OAPN) under grant 2924S/2022, by the Agencia Estatal de Investigación (AEI) under grants TED2021-130031B-I00 and PID2020-437 113229RBC43/AEI/10.13039/501100011033 and by the University of Malaga by grant B.1 of its own Research and Transfer Plan (B1-2022_19) and Funding for open access charge: Universidad de Málaga / CBUA. Thanks are due for the invaluable collaboration of the farmers of the Bajo Guadalhorce-Sierra de las Nieves Valley and to José Manuel Peña Barragán for providing the GPS instrumentation for the field measurementntPeer reviewedElsevierOrganismo Autónomo Parques Nacionales (España)Agencia Estatal de Investigación (España)Universidad de MálagaLima, Francisco [0000-0002-7591-1103]Blanco-Sepúlveda, Rafael [0000-0001-6537-4482]Andújar, Dionisio [0000-0002-5801-0944]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/375013reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1016/j.mex.2024.102786Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3750132026-05-22T06:33:51Z
dc.title.none.fl_str_mv Mapping and quantifying medium-term soil loss rates in mountain olive groves using unmanned aerial vehicle technology
title Mapping and quantifying medium-term soil loss rates in mountain olive groves using unmanned aerial vehicle technology
spellingShingle Mapping and quantifying medium-term soil loss rates in mountain olive groves using unmanned aerial vehicle technology
Lima, Francisco
Water erosion
Tillage erosion
Tree mounds
Structure-from-motion (SfM)
Soil loss rates
title_short Mapping and quantifying medium-term soil loss rates in mountain olive groves using unmanned aerial vehicle technology
title_full Mapping and quantifying medium-term soil loss rates in mountain olive groves using unmanned aerial vehicle technology
title_fullStr Mapping and quantifying medium-term soil loss rates in mountain olive groves using unmanned aerial vehicle technology
title_full_unstemmed Mapping and quantifying medium-term soil loss rates in mountain olive groves using unmanned aerial vehicle technology
title_sort Mapping and quantifying medium-term soil loss rates in mountain olive groves using unmanned aerial vehicle technology
dc.creator.none.fl_str_mv Lima, Francisco
Blanco-Sepúlveda, Rafael
Andújar, Dionisio
author Lima, Francisco
author_facet Lima, Francisco
Blanco-Sepúlveda, Rafael
Andújar, Dionisio
author_role author
author2 Blanco-Sepúlveda, Rafael
Andújar, Dionisio
author2_role author
author
dc.contributor.none.fl_str_mv Organismo Autónomo Parques Nacionales (España)
Agencia Estatal de Investigación (España)
Universidad de Málaga
Lima, Francisco [0000-0002-7591-1103]
Blanco-Sepúlveda, Rafael [0000-0001-6537-4482]
Andújar, Dionisio [0000-0002-5801-0944]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Water erosion
Tillage erosion
Tree mounds
Structure-from-motion (SfM)
Soil loss rates
topic Water erosion
Tillage erosion
Tree mounds
Structure-from-motion (SfM)
Soil loss rates
description Olive groves are one of the main agroecosystems in the Mediterranean region, but water erosion, aggravated by inappropriate soil management, is compromising the environmental sustainability of these crops. National and international public organisations, including the European Union via its Common Agricultural Policy, have acknowledged the problem and recognise the need to quantify the effects of this process. However, the variability of currently available short-term soil erosion measurements, together with limited understanding of the underlying processes, mean there is considerable uncertainty about the long-term effects of soil erosion. This paper presents an innovative procedure called SERHOLIVE4.0 designed to measure and model long-term soil erosion rates in olive groves, by means of structure-from-motion (SfM) techniques by which image information is obtained from unmanned aerial vehicles (UAVs). For the present study, the procedure was evaluated in mountain olive groves, where the erosion rate was calculated from historical surface reconstructions. Overall, this approach was found to be practical and effective. The method includes the following steps: [1] measure the current relief using UAV technology; [2] reconstruct the historical relief from field measurements; [3] calculate soil truncation (h) and obtain a soil erosion rate map; [4] determine the erosive dynamics of the slope and establish the relation between tree truncation, slope and mounds. The method we describe presents the following advantages: • it quantifies soil losses by reference to existing tree mounds; • it is straightforward to apply; • its application enhances the calibration of erosion models
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/375013
url http://hdl.handle.net/10261/375013
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1016/j.mex.2024.102786
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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