Predictive mapping of soil copper for site-specific micronutrient management using GIS-based sequential Gaussian simulation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F22%3A89984" target="_blank" >RIV/60460709:41210/22:89984 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s40808-021-01156-x" target="_blank" >https://link.springer.com/article/10.1007/s40808-021-01156-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s40808-021-01156-x" target="_blank" >10.1007/s40808-021-01156-x</a>
Alternative languages
Result language
angličtina
Original language name
Predictive mapping of soil copper for site-specific micronutrient management using GIS-based sequential Gaussian simulation
Original language description
Given that soil properties including micronutrient contents vary in space and time, geospatial mapping is necessary for robust site specific management planning. Kriging interpolation is often used in GIS environments for mapping, but it has inherent limitation of having a smooth effects. In this study, sequential Gaussian simulation SGS was used to map the spatial distribution of Cu concentration in and model the spatial uncertainties for an arable dryland in central Botswana. The field was divided into 30 parallel lines in an NE SW orientation. Kriging generally overestimated where lower values are probable and underestimated where higher values are probable. A large portion of the area has Cu content above the critical threshold. Since total and not plant available Cu were the measured parameter, we recommend that further study in this location should focus on confirming the plant available Cu in the high-risk areas.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40104 - Soil science
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
MODELING EARTH SYSTEMS AND ENVIRONMENT
ISSN
2363-6203
e-ISSN
2363-6211
Volume of the periodical
8
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
11
Pages from-to
1261-1271
UT code for WoS article
000637675100001
EID of the result in the Scopus database
2-s2.0-85103874976