Peer-reviewed articles 17,970 +



Title: STUDY OF THE UNCERTAINTY OF THE AMOUNT OF PRUNING IN THE OLIVE GROVE USING GEOSTATISTICAL ALGORITHMS

STUDY OF THE UNCERTAINTY OF THE AMOUNT OF PRUNING IN THE OLIVE GROVE USING GEOSTATISTICAL ALGORITHMS
Antonio Rodriguez Lizana; Maria Joao Pereira; Alzira Ramos; Manuel Moreno Garcia; Manuel Ribeiro
10.5593/sgem2022V/3.2
1314-2704
English
22
3.2
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
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.
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[10] 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.
[11] Taguas, V., Marin-Moreno, V., Barranco, D., Rafael, P., Garcia-Ferrer, A., Opportunities of super high-density olive orchard to improve soil quality : Management guidelines for application of pruning residues. J. Environ. Manage., 293, 112785, 2021.
We gratefully acknowledge the “Fondo Europeo de Desarrollo Regional (FEDER) y a la Consejeria de Transformacion Economica, Industria, Conocimiento y Universidades de la Junta de Andalucia, dentro del Programa Operativo FEDER 2014-2020”, for its financial support by the project “Avance multidisciplinar en la gestion y conocimiento de las cubiertas de restos de poda en olivar a escala arbol, parcela y explotacion” (US- 1380979). Dr. Manuel Moreno's work was conducted on the basis of a contract (INV_05_2022_I_018) funded by this research project.
conference
Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 06-08 December, 2022
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
431-438
06-08 December, 2022
website
8814
pruning residues, olive tree, geostatistics, direct sequential simulation

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