Determining the best ISUM (Improved stock unearthing Method) sampling point number to model long-term soil transport and micro-topographical changes in vineyards

Loading...
Thumbnail Image
File version
Accepted Manuscript (AM)
Author(s)
Rodrigo-Comino, Jesus
Keshavarzi, Ali
Zeraatpisheh, Mojtaba
Gyasi-Agyei, Yeboah
Cerda, Artemi
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2019
Size
File type(s)
Location
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract

Advances in soil erosion measuring tools and micro-topography modelling will contribute to our understanding of land degradation processes and help to design correct erosion mitigation measures in agricultural fields. Vineyards being one of the most degraded agricultural landscapes, it is necessary to accurately predict soil erosion levels within them. One possible method to achieve this goal in vine plantations is ISUM (improved stock unearthing method). To apply ISUM, it is necessary to detect the graft unions which are recognised as passive bioindicators of the original micro-topography at the time of planting. In this paper, we propose a methodology to determine: (i) how many measuring points are necessary to reach the best estimate of soil erosion for developing current soil surface level maps; and (ii) which spatial interpolation method is the best to map the micro-topographical changes. ISUM was applied in the Ruwer-Mosel valley vineyards (Germany) using 18 measuring points at 10 cm intervals between opposite pair graft unions of 1.7 m inter-row distance. Several interpolation methods were used to map the micro-topography changes and anisotropic ordinary kriging (OK) emerged as the best as judged by the performance statistics of the coefficient of determination and the root-mean-square-error. Our findings demonstrated that soil erosion rates were 40.1, 39.4, 25.0, 38.9, 37.9, to 64.8 Mg ha −1 yr −1 over the 40 years since the establishment of the vineyard studied, when using 18, 15, 10, 7, 5 and 2 measuring points, respectively. We propose that ISUM can be standardised as using measuring points at 10 cm intervals.

Journal Title
Computers and Electronics in Agriculture
Conference Title
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
© 2019 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Agricultural, veterinary and food sciences
Engineering
Science & Technology
Life Sciences & Biomedicine
Agriculture, Multidisciplinary
Computer Science, Interdisciplinary Applications
Persistent link to this record
Citation
Rodrigo-Comino, J; Keshavarzi, A; Zeraatpisheh, M; Gyasi-Agyei, Y; Cerda, A, Determining the best ISUM (Improved stock unearthing Method) sampling point number to model long-term soil transport and micro-topographical changes in vineyards, Computers and Electronics in Agriculture, 2019, 159, pp. 147-156
Collections