​​The Guazuma crinita Mart. is a dominant species of great economic importance for the inhabitants of the Peruvian Amazon, standing out for its rapid growth and being harvested at an early age. Understanding its vertical growth is a challenge that researchers have continued to study using different hypsometric modeling techniques. Currently, machine learning techniques, especially artificial neural networks, have revolutionized modeling for forest management, obtaining more accurate predictions; it is because we understand that it is of the utmost importance to adapt, evaluate and apply these methods in this species for large areas. The objective of this study was to build and evaluate the efficiency of the use of a deep neural network for the prediction of the total height of Guazuma crinita Mart. from a large-scale continuous forest inventory. To do this, we explore different confi...

Peruvian Amazonian rainforests are constantly threatened by forest loss. Understanding changes in forest cover and assessing the level of risk is a permanent concern for numerous scientists and forest authorities. There are many conservation programs for Peruvian forests that involve collaborative efforts and employ diverse methodologies for forest monitoring. In this study, we propose an alternative approach to decision-making for forest preservation, aiming to classify the risk of forest loss in districts within the Peruvian Amazon rainforest. This classification enables sustainable forest management. To accomplish this, we utilized unsupervised learning artificial intelligence through Kohonen's neural network. The network was trained using a historical database spanning from 2001 to 2021, which includes variables such as forest cover and loss, climate, topography, hydrographic network...

Los Andes sudamericanos son un conjunto de montañas, generan una diversidad de climas. Eucalyptus globulus ha sido instalado en muchas laderas de los Andes norperuanos a elevadas altitudes (como por ejemplo en Cajamarca - Perú), desconociéndose su crecimiento y viabilidad productiva. En el presente estudio se establecieron los siguientes objetivos: i) elaborar curvas de Índice de Sitio para masas de Eucalyptus globulus situadas en los Andes peruanos sobre los 3.000 metros de altitud, ii) analizar la relación entre variables ambientales y el Índice de Sitio y iii) evaluar el efecto potencial del frío en el crecimiento de estas masas en comparación con las de otras regiones. El Índice de Sitio (IS) fue estimado usando tres modelos base de crecimiento (Bertalanffy-Richards, Hossfeld y Korf) y dos métodos de derivación (Diferencias Algebraicas – ADA y Diferencias Algebraicas Gen...

The species Retrophyllum rospigliosii (Pilg.) C. N. Page (Female Romerillo) and Prumnopitys harmsiana (Pilg.) de Laub. (Male Romerillo) are conifers native to Peru and form an important part of the cloud forests of the Department of Cajamarca. Their woods are in demand in the local market for carpentry works, due to their physical-mechanical properties and good finish; however, information on the microscopic structure is scarce. The aim of this work was to characterize and determine the anatomical differences in the wood of the two species and thus expand the knowledge of their structures. Samples were obtained by non-destructive method, prepared and studied by microtomy and maceration; whose description was made using the IAWA standard. The main qualitative characteristic that allows differentiating them is the presence of diffuse parenchyma in Retrophyllum rospigliosii and absent in Pr...

Las especies Retrophyllum rospigliosii (Pilg.) C. N. Page (Romerillo hembra) y Prumnopitys harmsiana (Pilg.) de Laub. (Romerillo macho) son coníferas nativas del Perú y forman parte importante de los bosques nublados del Departamento de Cajamarca. Sus maderas son solicitadas en el mercado local para obras de carpintería, debido a las propiedades físico mecánicas y buen acabado; sin embargo, información sobre la estructura microscópica es escasa. El presente trabajo tuvo como objetivo caracterizar y determinar las diferencias anatómicas de la madera de las dos especies y así ampliar el conocimiento de sus estructuras. Se obtuvieron muestras por método no destructivo, preparadas y estudiadas mediante la microtomía y maceración; cuya descripción se realizó utilizando la norma del IAWA. La principal característica cualitativa que permite diferenciarlas es la presencia de paré...

The species Retrophyllum rospigliosii (Pilg.) C. N. Page (Female Romerillo) and Prumnopitys harmsiana (Pilg.) de Laub. (Male Romerillo) are conifers native to Peru and form an important part of the cloud forests of the Department of Cajamarca. Their woods are in demand in the local market for carpentry works, due to their physical-mechanical properties and good finish; however, information on the microscopic structure is scarce. The aim of this work was to characterize and determine the anatomical differences in the wood of the two species and thus expand the knowledge of their structures. Samples were obtained by non-destructive method, prepared and studied by microtomy and maceration; whose description was made using the IAWA standard. The main qualitative characteristic that allows differentiating them is the presence of diffuse parenchyma in Retrophyllum rospigliosii and absent in Pr...

This study addressed multi-product optimization in Cedrelinga cateniformis plantations in the Peruvian Amazon, aiming to maximize volumetric yields of logs and sawn lumber. Data from seven plantations of different ages and types, established on degraded land, were analyzed by using ten stem profile models to predict taper and optimize wood use. In addition, the structure of each plantation was evaluated using diameter distributions and height–diameter ratios; log and sawn timber production was optimized using SigmaE 2.0 software. The Garay model proved most effective, providing high predictive accuracy (adjusted R2 values up to 0.963) and biological realism. Marked differences in volumetric yield were observed between plantations: older and more widely spaced plantations produced higher timber volumes. Logs of optimal length (1.83–3.05 m) and larger dimension wood (e.g., 25.40 × 5.0...

This study addressed multi-product optimization in Cedrelinga cateniformis plantations in the Peruvian Amazon, aiming to maximize volumetric yields of logs and sawn lumber. Data from seven plantations of different ages and types, established on degraded land, were analyzed by using ten stem profile models to predict taper and optimize wood use. In addition, the structure of each plantation was evaluated using diameter distributions and height–diameter ratios; log and sawn timber production was optimized using SigmaE 2.0 software. The Garay model proved most effective, providing high predictive accuracy (adjusted R2 values up to 0.963) and biological realism. Marked differences in volumetric yield were observed between plantations: older and more widely spaced plantations produced higher timber volumes. Logs of optimal length (1.83–3.05 m) and larger dimension wood (e.g., 25.40 × 5.0...