Cause-effect relationships using structural equation modeling for soil properties in arid and semi-arid regions-Reference-Cited by-同舟云学术

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Cause-effect relationships using structural equation modeling for soil properties in arid and semi-arid regions

Published:2023-11 Issue: Volume:232 Page:107392
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Mousavi Seyed Roohollah,Sarmadian Fereydoon,Angelini Marcos Esteban,Bogaert Patrick,Omid Mahmoud^ORCID

Funder

University of Tehran

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference79 articles.

1. Linking soils to ecosystem services – a global review;Adhikari;Geoderma,2016

2. Mapping the soils of an Argentine Pampas region using structural equation modelling;Angelini;Geoderma,2016

3. Multivariate mapping of soil with structural equation modelling;Angelini;Eur. J. Soil Sci.,2017

4. Extrapolation of a structural equation model for digital soil mapping;Angelini;Geoderma,2020

5. Integration of Sentinel-1/2 and topographic attributes to predict the spatial distribution of soil texture fractions in some agricultural soils of western Iran;Azizi;Soil Tillage Res.,2023

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1. Incorporating forest canopy openness and environmental covariates in predicting soil organic carbon in oak forest;Soil and Tillage Research;2024-12

2. Assessing the Role of Environmental Covariates and Pixel Size in Soil Property Prediction: A Comparative Study of Various Areas in Southwest Iran;Land;2024-08-18

3. Machine learning-based soil aggregation assessment under four scenarios in northwestern Iran;International Agrophysics;2024-07-09

4. Digital soil mapping for soil types using machine learning approaches at the landscape scale in the arid regions of Iran;Advances in Space Research;2024-07

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