Examinando por Autor "Chuchon Remon, Rodolfo Juan"

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Procedimientos para el saneamiento físico legal de predios del INIA
(Instituto Nacional de Innovación Agraria (INIA), 2024-05-31) Mayuri Quispe, Ysmael Rafael; Medina Acosta, Yana Elizabeth; Ascoy Cancino, José Ricardo; Casaretto Castagnino, Duilio; Meléndez Saldaña, José Luis; Hernández Apari, Karla Guadalupe; Servan Montalvo, Henry Eduardo; Perez Contreras, Julio Alejandro; Montoya Ponce, Rider Armando; Rojas Ramírez, Miguel Angel; Chuchon Remon, Rodolfo Juan; Chacon Llancari, José Edilberto
Se viene ejecutando el Proyecto de Inversión “Mejoramiento de los servicios de la Unidad de Patrimonio de la Oficina de Administración del Instituto Nacional de Innovación Agraria – INIA en la localidad de La Molina, distrito de La Molina, provincia de Lima departamento de Lima”, el cual tiene como principal objetivo la regularización de la situación legal de los predios del INIA. En ese contexto, se presenta el siguiente documento el cual es una guía practica que establece los procedimientos para llevar a cabo el saneamiento físico legal de los bienes inmuebles del Instituto Nacional de Innovación Agraria (INIA), que garanticen la correcta inscripción y la representación jurídica de dichos bienes en el Registro de Predios.
The conversion of forests to agricultural croplands significantly depletes soil organic carbon reserves, total nitrogen, and available potassium, reaching critical thresholds in the Peruvian Amazon
(Frontiers Media S.A., 2025-09-19) Solórzano Acosta, Richard Andi; Cruz Luis, Juancarlos Alejandro; Chuchon Remon, Rodolfo Juan; Romero Chávez, Lorena Estefani; Lozano, Andi; Gaona Jimenez, Nery; Vallejos Torres, Geomar
Introduction: Land-use change from primary forests to agricultural croplands can degrade soil quality by depleting soil organic carbon (SOC), total nitrogen (STN), and soil-available potassium (SAK). The magnitudes and thresholds of these losses in the Peruvian Amazon remain insufficiently quantified. Methods: We assessed six land-use systems—two primary forests and four croplands (coffee, cocoa, oil palm, camu camu)—collecting 72 surface soil samples (0–20 cm) from 12 subplots per system using pit sampling. SOC, STN, and SAK were measured with standard laboratory procedures and compared across land uses. Results: The humid primary forest (WE–PF) had the highest nutrient status (SOC 118.99 t C ha⁻¹; STN 0.35%; SAK 181.83 mg kg⁻¹). The lowest values occurred in croplands, especially camu camu (SOC 23.93 t C ha⁻¹; STN 0.08%). Forest-to-cropland conversion was associated with average reductions of 58.98% (SOC), 59.49% (STN), and 59.66% (SAK). Among crops, coffee showed the smallest deficit (18.04%), whereas camu camu showed the largest SOC deficit (30.92%). Discussion: Converting forests to croplands critically depletes SOC, STN, and SAK, indicating substantial nutrient losses and concomitant deterioration of soil quality. These findings support conserving primary forests and promoting agroforestry and soil-restorative practices to mitigate degradation in the Peruvian Amazon.
Variability in Fruit Production of Carapa Guianensis Associated with Edaphoclimatic Factors in the Amazon
(Preprints.org (MDPI), 2025-12-17) Angulo Villacorta, Carlos Darwin; Silva da Conceição, Denilson; Chuchon Remon, Rodolfo Juan; Manigat, Donald; Antunez Jimenez, Lorena; de Toledo, José Julio
Carapa guianensis Aubl., widely distributed throughout the Amazon, is recognized for its ecological, economic, and social importance, and constitutes a key source of income for numerous extractive communities. However, fruit production exhibits marked spatial variation that may be influenced by soil properties and climatic factors. In this study, we assessed this variability using data from 21 studies conducted in the Brazilian Amazon, incorporating georeferenced information from each site on climate and soil characteristics. Environmental variables were evaluated using Random Forest models. Average fruit productivity showed a broad range (0.34 to 34.6 kg·tree⁻¹·year⁻¹), with higher values in várzea forests (16.5 kg·tree⁻¹·year⁻¹) and lower values in igapó forests (2.5 kg·tree⁻¹·year⁻¹). The model explained 42% of the observed variability (R² = 0.83 in cross-validation), identifying soil organic carbon, mean annual temperature, and clay content as the most influential predictors. These findings demonstrate that fruit production is shaped by the interaction between edaphic and climatic conditions, which determine the species' productivity patterns, and highlight the need to foster adaptive management strategies that ensure the sustainable use of andiroba across Amazonian ecosystems.