Soil quality estimation using environmental covariates and predictive models: an example from tropical soils of Nigeria
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F22%3A92307" target="_blank" >RIV/60460709:41210/22:92307 - isvavai.cz</a>
Result on the web
<a href="https://ecologicalprocesses.springeropen.com/articles/10.1186/s13717-022-00411-y" target="_blank" >https://ecologicalprocesses.springeropen.com/articles/10.1186/s13717-022-00411-y</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s13717-022-00411-y" target="_blank" >10.1186/s13717-022-00411-y</a>
Alternative languages
Result language
angličtina
Original language name
Soil quality estimation using environmental covariates and predictive models: an example from tropical soils of Nigeria
Original language description
Information addressing soil quality in developing counries often depends on results from small experimental plots, which are later extrapolated to vast areas of agricultural land. This approach often results in misinformation to en users of land for sustainable soil nutrient management. The objective of this study was to estimate the spatial variability of soil quality index (SQI) at regional scale with predictive models using soil environmental covariates. Structural stability index, sand content, soil oganic carbon content, and mean weight diameter of aggregates were the parameters used in establishing regional soil quality indices, while land surface water index, Sentinel 2 near-infrared band, plane curvature, and clay index were the most important variables affecting soil quality variability. The MDS-L and GWR are effective and useful models to identify the key soil properties for assessing soil quality, which can provide guidance for site-specific management of soils developed on diverse parent
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
—
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
ECOLOGICAL PROCESSES
ISSN
2192-1709
e-ISSN
2192-1709
Volume of the periodical
11
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
22
Pages from-to
0-0
UT code for WoS article
000888732200001
EID of the result in the Scopus database
2-s2.0-85142470009