Potential Productivity Model (M3P) as a Planning Tool for Degraded Pastures in the Amazon Deforestation Arc, Brazil

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Authors: Pedro Guerreiro Martorano, Carlos Simões Pereira, Lucietta Guerreiro Martorano, Leila Sheila Silva Lisbôa, Nelson Ken Narusawa Nakakoji, Carlos Emilio Rocha-Pereira, Carlos Tadeu dos Santos Dias, João Fernandes da Silva Júnior
Cited by: 0
References: 19

Abstract

The Amazon Deforestation Arc remains a critical region for environmental governance, where land-use strategies must consider distinct legal and institutional frameworks across the Amazon and Cerrado biomes. This study applies the Potential Productivity Model (M3P), a theoretical radiation-based framework, to estimate the upper physiological limits of sugarcane (Saccharum officinarum L.) productivity on degraded pastures within the Arc of Deforestation. The model integrates satellite-derived solar radiation with climatic variables to quantify potential productivity under optimal biophysical conditions, providing an objective benchmark for planning-oriented bioenergy assessments. Estimated potential yields range from 153 to 178 t·ha−1·yr−1, consistent with global reference values reported for sugarcane in high-radiation environments and relevant for informing public policies such as Brazil’s Agroecological Zoning of Sugarcane. The results demonstrate that agroclimatic potential alone is insufficient to guide land-use decisions. While degraded pastures associated with the Cerrado biome may accommodate sugarcane cultivation as part of productive land recovery strategies, areas belonging to the Amazon biome require priority actions focused on ecological restoration through agroforestry and integrated crop–livestock–forest systems. Overall, the M3P model offers a scalable and scientifically grounded decision-support framework for strategic planning in environmentally sensitive tropical regions.

Fields of Study & Subjects

Bioenergy crop production and management Environmental and biological studies Remote Sensing in Agriculture

Publication details

Journal / source
World
Volume
7
Issue
1
Pages
13–13
Publication date
16 January 2026
Language
EN