Evaluation of multi-tillage treatments under different soil physical and chemical signatures

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F23%3A96538" target="_blank" >RIV/60460709:41210/23:96538 - isvavai.cz</a>

Result on the web

<a href="http://www.fesss.org/pages.php?id=6" target="_blank" >http://www.fesss.org/pages.php?id=6</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Evaluation of multi-tillage treatments under different soil physical and chemical signatures

Original language description

Topsoil physical and chemical properties can vary subject to different soil treatment approaches. Tillage especially has been historically followed as an approach to improve these properties. In Europe, conventional tillage practices involving intensive ploughing are common relative to other tillage approaches mainly because comparative studies within the region are lacking. This study looks at a comparison of physicochemical properties under four long term tillage approaches namely: 1. Reduced Tillage (RT), 2. Occasional Tillage (ST), 3. No Tillage (NT) and 4. Conventional Tillage (CT). Analyses of short-term variances for soil volumetric water content, soil organic matter, bulk density and saturated hydraulic conductivity subject to tillage were done for experiments during harvest, and after tillage and seeding operations. While using point-based measurements as the basis, the eXtreme Gradient Boosting model was used to predict soil moisture content from Sentinel 2, Spectral Indices and Terrain Attributes (TA) datasets, and an inverse distance weighting interpolation technique was adopted to compare spatial distribution of soil moisture content from all the datasets employed. Between the first and second experimental phases, soil organic matter increased on all conservation tillage plots (RT, ST and NT) but decreased under CT. Insignificant changes in dry bulk density were observed on the conservation tillage plots whereas CT reduced dry bulk density by some 15.3%. Saturated hydraulic conductivity fluctuated significantly under ST and CT, while remaining stable under RT and NT. The plotted maps for this study show that by interpolating predicted soil moisture content values, the predicted TA dataset explain better the spatial variability of soil moisture content. Generally, the results reflect a variation in the soil properties subject to tillage. The use of remote sensing data (specifically TA) can help overcome hindrances in spatial coverage that may be caused by varying soil management practices.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

40104 - Soil science

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů