Application of regression-kriging and sequential Gaussian simulation for the delineation of forest areas potentially suitable for liming in the Jizera Mountains region, Czech Republic

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F20%3A81693" target="_blank" >RIV/60460709:41210/20:81693 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2352009420300353" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352009420300353</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.geodrs.2020.e00286" target="_blank" >10.1016/j.geodrs.2020.e00286</a>

Result language
angličtina
Original language name
Application of regression-kriging and sequential Gaussian simulation for the delineation of forest areas potentially suitable for liming in the Jizera Mountains region, Czech Republic
Original language description
Acidification due to acid atmospheric deposition affected strongly soils of many forested areas with long term consequences. Liming is often used for amelioration, however, detailed assessment of soil and stand conditions is necessary to avoid possible undesirable effects. The aim of this paper is to apply and compare two spatial modelling methods to delineate probability that the criteria for potential liming in the Jizera Mountains region strongly impacted by acidification are met and to assess the uncertainty.Soil characteristics from the last ten years were evaluated. Specific stands were excluded from consideration. Soils have low pH, low base saturation, and low content of base cations, so that most soil criteria required for potential liming approval are met.While both methods yielded similarmaps of probabilities that the criteria are met, the second approach provided a more diverse map of error distribution, which may play an important role in the decision making process.
Czech name
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Czech description
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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

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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