RT Journal Article
T1 Reconstruction of historical soil surfaces and estimation of soil erosion rates with mound measurements and UAV photogrammetry in Mediterranean olive groves
A1 Lima-Cueto, Francisco Javier
A1 Blanco-Sepúlveda, Rafael
A1 Calle, Mikel
A1 Andújar, Dionisio
K1 Suelos - Calidad
K1 Suelos - Erosión
AB Olive groves on hillsides. Governments and public agencies recognize the need to control this process in order toimprove soil conservation, especially in vulnerable areas. In the present study, a simple, inexpensive methodusing Structure-from-motion (SfM) and Unmanned Aerial Vehicle (UAV) technology was applied to quantify thesoil loss rates provoked by water erosion and tillage in mountain olive groves, according to a reconstruction oftheir historical surface features. Specifically, the main study aims were: i) to quantify the historical soil loss inolive groves, by analysing residual tree mounds; ii) to consider how soil relief and management can influence theerosion process; iii) to determine the degree to which the proposed method achieves the above aims.Analysis revealed a mean erosion rate in the study area of 127.69 t ha􀀀 1 years􀀀 1, with a linear relationshipbetween soil truncation and slope (R2 = 0.64, p < 0.001). The highest soil loss rates (-1.67 ± 0.48 m) occurred inareas where the slopes were steepest (22.36 ± 4.46 %) and the longitudinal profile rectilinear. Erosion rates aredetermined not only by the slope, but also by its position and distance from the tree mound. This study highlightsthe 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.
PB Elsevier
YR 2023
FD 2023
LK https://hdl.handle.net/10630/30039
UL https://hdl.handle.net/10630/30039
LA eng
NO Francisco Lima, Rafael Blanco-Sepúlveda, Mikel Calle, Dionisio Andújar, Reconstruction of historical soil surfaces and estimation of soil erosion rates with mound measurements and UAV photogrammetry in Mediterranean olive groves, Geoderma, Volume 440, 2023, 116708, ISSN 0016-7061, https://doi.org/10.1016/j.geoderma.2023.116708. (https://www.sciencedirect.com/science/article/pii/S0016706123003853)
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026