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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020702%3A_____%2F22%3AN0000077" target="_blank" >RIV/00020702:_____/22:N0000077 - isvavai.cz</a>

Výsledek na webu

<a href="http://swr.agriculturejournals.cz/artkey/swr-202202-0001_predictors-for-digital-mapping-of-forest-soil-organic-carbon-stocks-in-different-types-of-landscape.php" target="_blank" >http://swr.agriculturejournals.cz/artkey/swr-202202-0001_predictors-for-digital-mapping-of-forest-soil-organic-carbon-stocks-in-different-types-of-landscape.php</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17221/4/2022-SWR" target="_blank" >10.17221/4/2022-SWR</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 regional and national scale in the Czech Republic. A big database of forest soil data for more than 7 000 sites was compiled from several surveys. SOC stocks were calculated from SOC content and bulk density for the topsoil mineral layer 0-30 cm. Spatial prediction models were developed separately for individual natural forest areas and for four subsets with different altitude range, using random forest method. The importance of environmental predictors in the models strongly differs between regions and altitudes. At lower altitudes, forest edaphic series and soil classes are strong predictors, while at higher altitudes the predictors related to topography become more important. The importance of soil classes depends on the pedodiversity level and on the difference in SOC stock between the classes. The contribution of forest types as predictors is limited when one (mostly coniferous) type dominates. Better prediction results can be obtained in smaller, but consistent regions, like some natural forest areas.

Název v anglickém jazyce

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

Popis výsledku anglicky

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 regional and national scale in the Czech Republic. A big database of forest soil data for more than 7 000 sites was compiled from several surveys. SOC stocks were calculated from SOC content and bulk density for the topsoil mineral layer 0-30 cm. Spatial prediction models were developed separately for individual natural forest areas and for four subsets with different altitude range, using random forest method. The importance of environmental predictors in the models strongly differs between regions and altitudes. At lower altitudes, forest edaphic series and soil classes are strong predictors, while at higher altitudes the predictors related to topography become more important. The importance of soil classes depends on the pedodiversity level and on the difference in SOC stock between the classes. The contribution of forest types as predictors is limited when one (mostly coniferous) type dominates. Better prediction results can be obtained in smaller, but consistent regions, like some natural forest areas.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

40102 - Forestry

Projekt

<a href="/cs/project/QK1920163" target="_blank" >QK1920163: Vývoj a verifikace prostorových modelů vlastností lesních půd v České republice</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Soil and Water Research

ISSN

1801-5395

e-ISSN

1805-9384

Svazek periodika

17

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

69-79

Kód UT WoS článku

000753949300001

EID výsledku v databázi Scopus

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