Examinando por Autor "Tarrillo Julca, Ever"

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Geospatial distribution of heavy metals in rice soils of northwestern Peru
(Nature Portfolio (Springer Nature), 2025-08-21) Tarrillo Julca, Ever; Arce Inga, Marielita; Torres Herrera, Pedro Antonio; Tineo Flores, Daniel; Taboada Mitma, Victor Hugo; Cruz Luis, Juancarlos Alejandro; Rojas Briceño, Nilton B.; Atalaya Marin, Nilton; Gómez Fernández, Darwin; Goñas Goñas, Malluri
The presence of heavy metals in agricultural soils poses a threat to the development of sustainable agriculture and ensuring food security. The objective of this study was to evaluate the geospatial distribution of heavy metals in rice-growing soils within the Amojú River Basin, Jaen, Peru. Ninety-five soil samples were collected randomly, covering four altitudinal ranges, namely, very low (374–450 m above sea level (m a.s.l.)), low (450–571 m a.s.l.), medium (571–701 m a.s.l.) and high altitudes (701–1,034 m a.s.l.), and different agronomic management stages, including four phenological phases (seedling, tillering, filling and ripening) and two agricultural practices (resting and stubble burning). The evaluation was conducted via physicochemical analysis, the single-factor pollution index, and spatial interpolation techniques through the empirical Bayesian kriging (EBK) method. The results indicated that the contents of cadmium (Cd) and chromium (Cr) exceed the limits established in the Environmental Quality Standards (EQSs) for agricultural soils, with maximum Cd and Cr concentrations of 2 and 21 mg kg ⁻¹, respectively, mainly in very low-altitude areas (374–450 m a.s.l.). The single-factor pollution index results indicated slight Cd contamination and intense Cr contamination. Likewise, high levels of arsenic (As), Cd, and Cr were detected in soils managed via stubble burning, reaching 2, 2, and 16 mg kg ⁻¹, respectively. The highest Cr concentrations were located in the northeastern and western parts of the study area, whereas the highest Cd concentrations occurred in the northeastern and southwestern parts. These concentrations may be associated with potential contamination sources, with the use of phosphate fertilizers, water for cultivation, and soil erosion as key contributors. This study highlights the potential risk to rice productivity and crop safety, emphasizing the importance of implementing sustainable agricultural practices and monitoring strategies for heavy metals in soils associated with crops.
Global perspectives on the biodegradation of LDPE in agricultural systems
(Frontiers Media S.A., 2025-01-06) Mendoza Merino, Jani Elisabet; Tineo Flores, Daniel; Chuquibala Checan, Beimer; Atalaya Marin, Nilton; Taboada Mitma, Victor Hugo; Tafur Culqui, Josué; Tarrillo Julca, Ever; Gómez Fernández, Darwin; Goñas Goñas, Malluri; Reyes Reyes, María Andrea
The increasing use of plastics globally has generated serious environmental and human health problems, particularly in the agricultural sector where low-density polyethylene (LDPE) and other plastics are widely used. Due to its low recycling rate and slow degradation process, LDPE is a major source of pollution. This paper addresses the problem of plastic accumulation in agriculture, focusing on LDPE biodegradation strategies. The studies reviewed include recent data and the methodologies used include state-of-the-art technologies and others that have been used for decades, to monitor and measure the degree of biodegradation that each treatment applied can have, including SEM, GCMS, HPLC, and microscopy. The countries investigating these biodegradation methodologies are identified, and while some countries have been developing them for some years, others have only begun to address this problem in recent years. The use of microorganisms such as bacteria, fungi, algae, and insect larvae that influence its decomposition is highlighted. A workflow is proposed to carry out this type of research. Despite the advances, challenges remain, such as optimizing environmental conditions to accelerate the process and the need for further research that delves into microbial interactions in various environmental contexts.
Integrating remote sensing and in-situ data to determine climate diversity and variability in cocoa systems in the provinces of Jaén and San Ignacio, Cajamarca (NW Perú)
(Elsevier, 2024-12-08) Atalaya Marin, Nilton; Goña Goñas, Malluri; Tineo Flores, Daniel; Chuquibala Checan, Beimer; Arce Inga, Marielita; Tarrillo Julca, Ever; Alvarez Robledo, Yeltsin Abel; Tafur Culqui, Josué; Cabrera Hoyos, Héctor Antonio; Gómez Fernández, Darwin
La falta de información sobre la distribución geográfica de los sistemas de cacao, junto con la diversidad de especies y la influencia de los factores climáticos en los rendimientos, representa desafíos para la gestión agronómica de estas plantaciones y la implementación de políticas agrícolas más efectivas. Este estudio tuvo como objetivo mapear el área de cacao, la diversidad de especies y su respuesta a la variabilidad climática histórica en las provincias de Jaén y San Ignacio, Cajamarca, Perú. Se procesaron datos de PlanetScope y Sentinel-1 en Google Earth Engine utilizando el algoritmo de clasificación Random Forest. Se identificaron 4,338.6 ha de sistemas de monocultivo y agroforestería de cacao, logrando una precisión temática del 85% y un índice kappa de 0.81. Se determinó que Musa sp. predomina en altitudes bajas, mientras que Inga edulis mostró mayor dominio en altitudes más elevadas. La aplicación de datos climáticos y de rendimiento del cacao permitió calcular el índice de anomalía estandarizada, evidenciando el impacto notable de la precipitación en la producción de cacao, especialmente en 2021 y 2022. Este enfoque integrado proporciona una comprensión más profunda de los sistemas agroforestales de cacao, estableciendo una base sólida para la toma de decisiones destinadas a optimizar el rendimiento mediante prácticas agrícolas adaptadas a condiciones climáticas específicas y fomentando la biodiversidad mediante la incorporación de especies nativas.
Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru
(Taylor & Francis Group, 2024-12-23) Arce Inga, Marielita; Atalaya Marin, Nilton; Barboza Castillo, Elgar; Tarrillo Julca, Ever; Chuquibala Checan, Beimer; Tineo Flores, Daniel; Fernandez Zarate, Franklin Hitler; Cruz Luis, Juancarlos Alejandro; Goñas Goñas, Malluri; Gómez Fernández, Darwin
Soil is a vital nonrenewable resource characterized by rapid degradation and slow regeneration processes. In this study, soil degradation in Jaén and San Ignacio was assessed via a multicriteria evaluation approach combined with remote sensing (RS) data. Nine factors were analyzed classified three categories: environmental, topographic, and edaphological factors. The results revealed that the slope (59.07%) was the main influencing factor, followed by land use and land cover (LULC) (56.36%). The degradation map revealed that 83.48% of the area exhibited moderate degradation, 14.49% low degradation, and 1.56% high degradation. The districts of Pomahuaca and San José de Lourdes demonstrated the largest areas of moderate degradation, accounting for 13.71% and 22.54%, respectively. Bellavista and Huarango exhibited the largest areas of very high degradation, accounting for 0.27% and 0.08%, respectively. The (AHP) method and RS data were employed to assess soil degradation, highlighting the need for sustainable soil restoration and conservation strategies.