Estimation of soil organic carbon distribution by geostatistical and deterministic interpolation methods: A case study of the southeastern soils of Nigeria

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A85820" target="_blank" >RIV/60460709:41210/21:85820 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.eemj.eu/index.php/EEMJ/article/view/4351" target="_blank" >http://www.eemj.eu/index.php/EEMJ/article/view/4351</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of soil organic carbon distribution by geostatistical and deterministic interpolation methods: A case study of the southeastern soils of Nigeria

Popis výsledku v původním jazyce

Soil organic carbon SOC plays a significant role in ecosystem protection and sustainable agriculture. The present study aims to estimate the spatial distribution of SOC using three different interpolation methods, ordinary kriging (OK), cokriging (COK), and inverse distance weighting (IDW). The digital elevation model of the site was obtained from USGS explorer at 30 m spatial resolution and processed. Ten 10 terrain attributes were obtained, and a correlation matrix was conducted between SOC and terrain derivatives. The whole dataset was used to evaluate the model accuracy, root mean square error (RMSE) and mean error (ME) were the criteria adopted. Mean value of the SOC of the study area was generally low when compared to the standard rating for tropical soils. SOC was significantly correlated with LS factor, negatively correlated with elevation and profile curvature. IDW performed better (RMSE 0,75) followed by OK (RMSE 0,78) and then COK (RMSE 0,94). Conversely, COK produced the model with the sm

Název v anglickém jazyce

Estimation of soil organic carbon distribution by geostatistical and deterministic interpolation methods: A case study of the southeastern soils of Nigeria

Popis výsledku anglicky

Soil organic carbon SOC plays a significant role in ecosystem protection and sustainable agriculture. The present study aims to estimate the spatial distribution of SOC using three different interpolation methods, ordinary kriging (OK), cokriging (COK), and inverse distance weighting (IDW). The digital elevation model of the site was obtained from USGS explorer at 30 m spatial resolution and processed. Ten 10 terrain attributes were obtained, and a correlation matrix was conducted between SOC and terrain derivatives. The whole dataset was used to evaluate the model accuracy, root mean square error (RMSE) and mean error (ME) were the criteria adopted. Mean value of the SOC of the study area was generally low when compared to the standard rating for tropical soils. SOC was significantly correlated with LS factor, negatively correlated with elevation and profile curvature. IDW performed better (RMSE 0,75) followed by OK (RMSE 0,78) and then COK (RMSE 0,94). Conversely, COK produced the model with the sm

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

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

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Environmental Engineering and Management Journal

ISSN

1582-9596

e-ISSN

1843-3707

Svazek periodika

20

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

9

Strana od-do

1077-1085

Kód UT WoS článku

000677483000004

EID výsledku v databázi Scopus

2-s2.0-85112235509