Estimation of the stability of topsoil aggregates in areas affected by water erosion using selected soil and terrain properties

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985530%3A_____%2F22%3A00557243" target="_blank" >RIV/67985530:_____/22:00557243 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41210/22:89978

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0167198722000344" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0167198722000344</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.still.2022.105348" target="_blank" >10.1016/j.still.2022.105348</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of the stability of topsoil aggregates in areas affected by water erosion using selected soil and terrain properties

Popis výsledku v původním jazyce

The stability of soil structure is crucial for providing most of the essential functions of soil. In our previous research in a region of Chernozem soil, multiple linear regression analysis showed that soil aggregate stability within this morphologically diverse study area could be predicted using the soil organic matter content and one of the terrain attributes. Therefore, this present study aims to determine if a similar procedure can be applied to areas of different soil types, namely a Haplic Luvisol, two Haplic Cambisols, and a Calcaric Leptosol. Basic soil properties such as the organic carbon (C-ox) content, Fe content, Mn content, CaCO3 content, pH, magnetic susceptibility, bulk density (rho(z)), electrical conductivity, and water-stable aggregate (WSA) index were measured, and terrain attributes were derived using a system for automated geoscientific analyses and a digital elevation model.

Název v anglickém jazyce

Estimation of the stability of topsoil aggregates in areas affected by water erosion using selected soil and terrain properties

Popis výsledku anglicky

The stability of soil structure is crucial for providing most of the essential functions of soil. In our previous research in a region of Chernozem soil, multiple linear regression analysis showed that soil aggregate stability within this morphologically diverse study area could be predicted using the soil organic matter content and one of the terrain attributes. Therefore, this present study aims to determine if a similar procedure can be applied to areas of different soil types, namely a Haplic Luvisol, two Haplic Cambisols, and a Calcaric Leptosol. Basic soil properties such as the organic carbon (C-ox) content, Fe content, Mn content, CaCO3 content, pH, magnetic susceptibility, bulk density (rho(z)), electrical conductivity, and water-stable aggregate (WSA) index were measured, and terrain attributes were derived using a system for automated geoscientific analyses and a digital elevation model.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10508 - Physical geography

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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 & Tillage Research

ISSN

0167-1987

e-ISSN

1879-3444

Svazek periodika

219

Číslo periodika v rámci svazku

May

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

105348

Kód UT WoS článku

000776073400006

EID výsledku v databázi Scopus

2-s2.0-85125135700