Bibliographic citations
Bonilla, M., (2024). Diseño de prototipo multisensor económico basado en arduino para monitoreo de GEI en ecosistemas de arrozales [Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/6579
Bonilla, M., Diseño de prototipo multisensor económico basado en arduino para monitoreo de GEI en ecosistemas de arrozales []. PE: Universidad Nacional Agraria La Molina; 2024. https://hdl.handle.net/20.500.12996/6579
@misc{renati/1113254,
title = "Diseño de prototipo multisensor económico basado en arduino para monitoreo de GEI en ecosistemas de arrozales",
author = "Bonilla Cordova, Mirko Williams",
publisher = "Universidad Nacional Agraria La Molina",
year = "2024"
}
Global warming is influenced by the increase in the concentration of greenhouse gases (GHG) in the atmosphere. Rice (Oryza sativa) is the world's second largest staple food and a major source of GHG emissions. On the other hand, the Net Ecosystem Exchange (NEE) is the main factor that influences the flow of carbon (C) between the atmosphere and the soil. For this reason, agricultural ecosystems are a potential carbon dioxide (CO2) sink, and rice fields in particular. To measure these emissions, a static chamber with a portable multi sensor CO2 prototype was designed and implemented for three plots or repetitions. Additionally, an automatic weather station was installed to record meteorological variables. The vegetative, reproductive, and maturation phases of the crop lasted 95, 35, and 42 days after sowing (DAS), respectively. The results of seasonal GHG monitoring, the analyzer underestimated and overestimated the fluxes of CH4 and N2O, respectively. Therefore, these flows showed significant differences with respect to the static chamber method. In contrast, the CO2 fluxes had a similar behavior to the reference method, therefore, they did not present a significant difference. On the other hand, the results of diurnal NEE had the highest CO2 absorption capacity at 10:00 a.m. for the tillering stages (82 and 89 DAS), floral primordium (102 DAS), spindle stage (111 DAS) and flowering (126 DAS). On the other hand, the maximum CO2 emission on 82, 111 and 126 DAS was at 18:00 p.m. In 89 and 102 DAS it occurred at 4:00 and 6:00 a.m., respectively. The NEE in the vegetative stage was -25 μmolCO2 m−2 s −1 and in the reproductive stage it was -35 μmolCO2 m−2 s −1 , this being the highest absorption capacity by the plots. These results did not present significant differences with previous studies obtained eddy covariance (EC). The seasonal dynamics of NEE was mainly controlled by temperature inside the chamber (Tc) (R = −0.69), relative humidity inside the chamber (RHc) (R = −0.66) and Net radiation (Rn) (R = −0.75).
This item is licensed under a Creative Commons License