Predictors for digital mapping of forest soil organic carbon stocks in different types of landscape

Predictors for digital mapping of forest soil organic carbon stocks in different types of landscape

Forest soils have a high potential to store carbon and thus mitigate climate change. The information on spatial distribution of soil organic carbon (SOC) stocks is thus very important. This study aims to analyse the importance of environmental predictors for forest SOC stock prediction at the region...

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Bibliographic Details
Main Authors: Luboš Borůvka, Radim Vašát, Vít Šrámek, Kateřina Neudertová Hellebrandová, Věra Fadrhonsová, Milan Sáňka, Lenka Pavlů, Ondřej Sáňka, Oldřich Vacek, Karel Němeček, Shahin Nozari, Vincent Yaw Oppong Sarkodie
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2022-02-01
Series:Soil and Water Research
Subjects:
carbon stocks
digital soil mapping
environmental covariates
random forests
spatial distribution
terrain attributes
Online Access:https://swr.agriculturejournals.cz/artkey/swr-202202-0001_predictors-for-digital-mapping-of-forest-soil-organic-carbon-stocks-in-different-types-of-landscape.php

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https://swr.agriculturejournals.cz/artkey/swr-202202-0001_predictors-for-digital-mapping-of-forest-soil-organic-carbon-stocks-in-different-types-of-landscape.php

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