Scholarly record
STUDY OF THE UNCERTAINTY OF THE AMOUNT OF PRUNING IN THE OLIVE GROVE USING GEOSTATISTICAL ALGORITHMS
Abstract
Olive pruning mulch modifies the physical, chemical and biological properties of the soil. They are an efficient soil and water conservation system, while simultaneously improving the organic matter content of the soil. In any case, their effect on soil properties is a function of the densities provided. In any agricultural field, there can be significant variations in plant size, which can affect the amount of pruning obtained. In this research, a spatial sampling of pruning amount collected in olive trees (n=59) in a 13.1-ha traditional olive grove located in Cordoba (Spain), was conducted to estimate the mean pruning amount and assess its spatial uncertainty. In addition, the projected areas of all trees in the field (n=928) were determined. Tree projected area was found to be well correlated with the amount of pruning (Pearson correlation coefficient value of 0.74). The spatial continuity of the study variables was determined using isotropic variograms with nested spherical models. Direct sequential simulation and cosimulation algorithms were used to generate 125 realizations of each variable and map the spatial uncertainty of the amount of pruning in unsampled areas. The results indicate that pruning amounts exhibit spatial continuity. The projected area of the trees is a useful variable to improve estimates of total amount of pruning.
Publication Impact Profile
Publication details
References10
Rodrigo-Comino J., Taguas E., Seeger M., Ries J.B., Quantification of soil and water losses in an extensive olive orchard catchment in Southern Spain. J. Hydrol., 556, pp 749�758, 2018. DOI: 10.1016/j.jhydrol.2017.12.014
Keesstra, S.D., Rodrigo-Comino, J., Novara, A., Gimenez-Morera, A., Pulido, M., Di Prima, S., Cerda, A., Straw mulch as a sustainable solution to decrease runoff and erosion in glyphosate-treated clementine plantations in Eastern Spain. An assessment using rainfall simulation experiments. Catena, 174, pp 95�103,2019. DOI: 10.1016/j.catena.2018.11.007
Gomez-Munoz, B., Valero-Valenzuela, J.D., Hinojosa, M.B., Garcia-Ruiz, R., Management of tree pruning residues to improve soil organic carbon in olive groves. Eur. J. Soil Biol., 74, pp 104�113, 2016. DOI: 10.1016/j.ejsobi.2016.03.010
Rodriguez-Lizana, A., Pereira, M.J., Ribeiro, M.C., Soares, A., Marquez-Garcia, F., Ramos, A., Gil-Ribes, J., Assessing Local Uncertainty of Soil Protection in an Olive Grove Area with Pruning Residues Cover: A Geostatistical Cosimulation Approach. L. Degrad. Dev., 28, pp 2086�2097, 2017. DOI: 10.1002/ldr.2734
Estornell, J., Ruiz, L.A., Velazquez-Marti, B., Lopez-Cortes, I., Salazar, D., Fernandez-Sarria, A., Estimation of pruning biomass of olive trees using airborne discrete-return LiDAR data. Biomass and Bioenergy, 81, pp 315�321, 2015. DOI: 10.1016/j.biombioe.2015.07.015
Rodriguez-Lizana, A., Pereira, M.J., Ribeiro, M.C., Soares, A., Azevedo, L., Miranda-Fuentes, A., Llorens, J., Spatially variable pesticide application in olive groves�: Evaluation of potential pesticide-savings through stochastic spatial simulation algorithms. Sci. Total Environ., 778, 146111, 2021. DOI: 10.1016/j.scitotenv.2021.146111
Soares, A., Direct Sequential Simulation and Cosimulation. Math. Geol., 33, pp 911�926, 2001. DOI: 10.1023/a:1012246006212
Horta, A., Soares, A., Direct sequential Co-simulation with joint probability distributions. Math. Geosci., 42, pp 269�292, 2010. DOI: 10.1007/s11004-010-9265-x
Goovaerts, P., Geostatistical modelling of uncertainty in soil science. Geoderma, 103, pp 3�26, 2001. DOI: 10.1016/s0016-7061(01)00067-2
Szatmari, G., Pasztor, L., Heuvelink, G.B.M., Estimating soil organic carbon stock change at multiple scales using machine learning and multivariate geostatistics. Geoderma, 403, 115356, 2021. DOI: 10.1016/j.geoderma.2021.115356
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.