The biodiversity present in Peru will be affected by climatic and anthropogenic changes; therefore, understanding these changes will help generate biodiversity conservation policies. This study analyzes the potential distributions of biomes (B) in Peru under the effects of climate change. The evaluation was carried out using the random forest (RF) method, six bioclimatic variables, and digital topography for the classification of current B in Peru. Subsequently, the calibrated RF model was assimilated to three downscaled regional climate models to project future B distributions for the 2035–2065 horizon. We evaluated possible changes in extension and elevation as well as most susceptible B. Our projections show that future scenarios agreed that 82% of current B coverage will remain stable. Approximately 6% of the study area will change its current conditions to conditions of higher hum...

Remote sensing is essential in precision agriculture as this approach provides high-resolution information on the soil's physical and chemical parameters for detailed decision making. Globally, technologies such as remote sensing and machine learning are increasingly being used to infer these parameters. This study evaluates soil fertility changes and compares them with previous fertilization inputs using high-resolution multispectral imagery and in situ measurements. A UAV-captured image was used to predict the spatial distribution of soil parameters, generating fourteen spectral indices and a digital surface model (DSM) from 103 soil plots across 49.83 hectares. Machine learning algorithms, including classification and regression trees (CART) and random forest (RF), modeled the soil parameters (N-ppm, P-ppm, K-ppm, OM%, and EC-mS/m). The RF model outperformed others, with R² values of...

La investigación tuvo como objetivo la valorización melisopalinológica, físico-química, sensorial de miel y contenido polínico obtenido por Apis mellifera, en base a oferta floral de cinco pisos altitudinales de la cuenca del rio Mayo, San Martín durante los años 2015, 2016 y 2017. El análisis melisopalinológico refiere la metodología de Louveaux y acetólisis de Erdtman para identificación a nivel de familia de granos de polen; el color de mieles mediante índice de cromaticidad, azúcares reductores por cromatografía líquida. Según el origen geográfico y botánico se caracterizaron cinco grupos de miel: Lamas multiflora, con predominancia de Pouteria sp, (32,17%), Faboideae (14,1%), Moracea-Urticaceae (13,7%), y Solanaceae (10,33%), Juan Guerra, monofloral, con predominancia de Poaceae (45,36%), Escalloniaceae (32%) y Vitaceae (12%), Las Palmas, multiflora, con predomin...