Forest stand and soil types determine soil organic carbon storage in the Middle Atlas region of Morocco using machine learning models

Forest stand and soil types determine soil organic carbon storage in the Middle Atlas region of Morocco using machine learning models

Forest soils often contain more carbon (C) than living trees, with significant variation in soil organic carbon (SOC) stocks due to stand type and soil characteristics. This study evaluates SOC stocks in the Moroccan Middle Atlas forests using field measurements and machine learning models. Soil pro...

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Bibliographic Details
Main Authors: Mohamed El Mderssa, Meysara Elmalki, Joann K. Whalen, Hicham Ikraoun, Fatima Zahra Aliyat, Youssef Dallahi, Younes Abbas, Laila Nassiri, Jamal Ibijbijen
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:All Earth
Subjects:
Soil typology
Central Middle Atlas
machine learning
climate change
soil organic carbon
Online Access:https://www.tandfonline.com/doi/10.1080/27669645.2024.2400432
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https://www.tandfonline.com/doi/10.1080/27669645.2024.2400432

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