Assessing Sumatran Peat Vulnerability to Fire under Various Condition of ENSO Phases Using Machine Learning Approaches

Assessing Sumatran Peat Vulnerability to Fire under Various Condition of ENSO Phases Using Machine Learning Approaches

In recent decades, catastrophic wildfire episodes within the Sumatran peatland have contributed to a large amount of greenhouse gas emissions. The El-Nino Southern Oscillation (ENSO) modulates the occurrence of fires in Indonesia through prolonged hydrological drought. Thus, assessing peatland vulne...

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Bibliographic Details
Main Authors: Lilik Budi Prasetyo, Yudi Setiawan, Aryo Adhi Condro, Kustiyo Kustiyo, Erianto Indra Putra, Nur Hayati, Arif Kurnia Wijayanto, Almi Ramadhi, Daniel Murdiyarso
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Forests
Subjects:
vulnerability assessment
tropical peatland
climate variability
ensemble model
Sumatera
Online Access:https://www.mdpi.com/1999-4907/13/6/828

Internet

https://www.mdpi.com/1999-4907/13/6/828

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