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

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.

Authors

Institutions

Publication Details

Journal
World
Published
2026-01-16
DOI
https://doi.org/10.3390/world7010013
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Nelson Ken Narusawa Nakakoji, Carlos Emilio Rocha-Pereira, Leila Sheila Silva Lisbôa, Pedro Guerreiro Martorano et al.
World
Plant Water Relations and Carbon Dynamics
article

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

Nelson Ken Narusawa Nakakoji, Carlos Emilio Rocha-Pereira, Leila Sheila Silva Lisbôa, Pedro Guerreiro Martorano, Lucietta Guerreiro Martorano, João Fernandes da Silva-Júnior, Carlos Simões Pereira, Carlos Tadeu dos Santos Dias
article en

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.

WorldVol. 7(1)
Brazilian Agricultural Research Corporation (BR), Universidade Federal Rural da Amazônia (BR), Methodist University of Piracicaba (BR), Secretaria Municipal de Educação de São Paulo (BR), Amazon Research Foundation (BR)
Life in Land
Openalex Percentile: Top 91%
Plant Water Relations and Carbon Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.