Analysis of the temporal variability of silvicultural indicators at the Granma agroforestry enterprise using the DeepSeek AI v3.1 tool.
DOI:
https://doi.org/10.56124/Keywords:
gestión forestal, series temporales, indicadores silvícolas, inteligencia artificial, heterogeneidad espacialAbstract
Sustainable forest management is based on the use of analytical tools that transform historical data into actionable knowledge. The purpose of this study was to evaluate the temporal dynamics of seven silvicultural indicators (planted area, area under maintenance, silvicultural management, harvesting, process efficiency, seedling production, and nursery establishment) in three Basic Business Units (Campechuela, Bayamo, and Yara) within the Granma Agroforestry Enterprise in Cuba during the period from 2019 to 2024. To this end, a quantitative methodology was implemented based on exploratory and statistical time-series analyses using Python 3.14.2, with the assistance of DeepSeek AI v3.1 for code generation and optimization. The results of the analysis revealed structured spatial heterogeneity, with statistically significant differences between municipalities for most indicators. This study obtained data on the highest values for planted area (median = 60 ha), silvicultural management (351.0 ± 41.2 ha), process efficiency (56.7 ± 11.8 %), and seedling production (48,833 ± 9,354 units). Furthermore, critical downward trends were observed in harvesting (-40%) and efficiency (-37.5%). This study identified profiles of smaller operational scale with greater temporal stability in the localities of Bayamo and Yara. In particular, Yara exhibited significantly reduced variability in nursery production (CV = 7.7%). The analysis confirmed the existence of differential behavioral patterns that respond to structural factors related to institutional capacity and territorial logistics. It is concluded that spatial heterogeneity constitutes a fundamental organizing principle for forest management, requiring differentiated strategies that take into account the specific capacities of each territory to optimize the sustainability of the forestry program.
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Copyright (c) 2026 Carlos Enrique Barrios Fonseca, Licet Chávez Suárez, Sergio Florentino Rodríguez Rodríguez, María de los Ángeles Pino Parada , Armando Guillermo Antúnez Sánchez , Ana Luisa Figueredo Figueredo, Oandis Sosa Sánchez
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