According to the Food and Agriculture Organization of the United Nations (FAO), livestock farming is one of the main causes of degradation of soil and water resources, and it also generates more greenhouse gases (GHG) than the transportation sector, due among other causes. to the volumes of excreta generated. In Nicaragua, the livestock sector is one of the main contributors to the country's economic development, being the main emitter of GHG caused by enteric fermentation (methane). The objective of this research was to present a survey based on internationally accepted theoretical foundations to make estimates of the enteric generation of methane due to the deposition of livestock manure. Likewise, national literature containing calculations used in case studies and projects was used. pilots executed, with this theoretical support the energy potential (heat and electricity) of the excreta of Nicaraguan cattle was estimated. The research approach was quantitative with a theoretical perspective of critical extension and modeling using the equations contained in the theory, guides and documents used as primary and secondary sources. As a result of this research, it was estimated that the energy potential of the country's bovine manure is 57,393.89 MWh per day or 46.374263493 TCal/day, said potential was estimated from the calculation of more than 9 million cubic meters of biogas per day that generate the more than 186 thousand tons of manure that the country's livestock herd generates daily. | Según la Organización de las Naciones Unidas para la Agricultura y la Alimentación (FAO) la ganadería es una de las principales causas de degradación del suelo y recursos hídricos, además genera más gases de efecto invernadero (GEI) que el sector transporte, debido entre otras causas a los volúmenes de excretas generadas. En Nicaragua el sector ganadero es uno de los principales contribuyentes al desarrollo económico del país, siendo el principal emisor de GEI causado por la fermentación entérica (metano). El objetivo de esta investigación fue presentar una prospección con base en fundamentos teóricos internacionalmente aceptados para realizar estimaciones de la generación entérica de metano a causa de las deposiciones de estiércol del ganado, así mismo se utilizó literatura nacional conteniendo cálculos utilizados en estudios de caso y proyectos pilotos ejecutados, con ese respaldo teórico se estimó el potencial energético (calor y electricidad) de las excretas del ganado bovino de Nicaragua. El enfoque de la investigación fue cuantitativo con perspectiva teórica de extensión crítica y de modelización empleando las ecuaciones contenidas en la teoría, guías y documentos utilizados como fuentes primarias y secundarias. Como resultado de esta investigación se estimó que el potencial energético del estiércol bovino del país es de 57,393.89 MWh por día o 46.37 TCal/día, dicho potencial fue estimado a partir del cálculo de más de 9 millones de metros cúbicos de biogás por día que generan las más de 186 mil toneladas de estiércol que el hato ganadero del país genera a diario.

Abstract. Methane (CH4) emissions from natural landscapes constitute roughly half of global CH4 contributions to the atmosphere, yet large uncertainties remain in the absolute magnitude and the seasonality of emission quantities and drivers. Eddy covariance (EC) measurements of CH4 flux are ideal for constraining ecosystem-scale CH4 emissions due to quasi-continuous and high-temporal-resolution CH4 flux measurements, coincident carbon dioxide, water, and energy flux measurements, lack of ecosystem disturbance, and increased availability of datasets over the last decade. Here, we (1) describe the newly published dataset, FLUXNET-CH4 Version 1.0, the first open-source global dataset of CH4 EC measurements (available at https://fluxnet.org/data/fluxnet-ch4-community-product/, last access: 7 April 2021). FLUXNET-CH4 includes half-hourly and daily gap-filled and non-gap-filled aggregated CH4 fluxes and meteorological data from 79 sites globally: 42 freshwater wetlands, 6 brackish and saline wetlands, 7 formerly drained ecosystems, 7 rice paddy sites, 2 lakes, and 15 uplands. Then, we (2) evaluate FLUXNET-CH4 representativeness for freshwater wetland coverage globally because the majority of sites in FLUXNET-CH4 Version 1.0 are freshwater wetlands which are a substantial source of total atmospheric CH4 emissions; and (3) we provide the first global estimates of the seasonal variability and seasonality predictors of freshwater wetland CH4 fluxes. Our representativeness analysis suggests that the freshwater wetland sites in the dataset cover global wetland bioclimatic attributes (encompassing energy, moisture, and vegetation-related parameters) in arctic, boreal, and temperate regions but only sparsely cover humid tropical regions. Seasonality metrics of wetland CH4 emissions vary considerably across latitudinal bands. In freshwater wetlands (except those between 20∘ S to 20∘ N) the spring onset of elevated CH4 emissions starts 3 d earlier, and the CH4 emission season lasts 4 d longer, for each degree Celsius increase in mean annual air temperature. On average, the spring onset of increasing CH4 emissions lags behind soil warming by 1 month, with very few sites experiencing increased CH4 emissions prior to the onset of soil warming. In contrast, roughly half of these sites experience the spring onset of rising CH4 emissions prior to the spring increase in gross primary productivity (GPP). The timing of peak summer CH4 emissions does not correlate with the timing for either peak summer temperature or peak GPP. Our results provide seasonality parameters for CH4 modeling and highlight seasonality metrics that cannot be predicted by temperature or GPP (i.e., seasonality of CH4 peak). FLUXNET-CH4 is a powerful new resource for diagnosing and understanding the role of terrestrial ecosystems and climate drivers in the global CH4 cycle, and future additions of sites in tropical ecosystems and site years of data collection will provide added value to this database. All seasonality parameters are available at https://doi.org/10.5281/zenodo.4672601 (Delwiche et al., 2021). Additionally, raw FLUXNET-CH4 data used to extract seasonality parameters can be downloaded from https://fluxnet.org/data/fluxnet-ch4-community-product/ (last access: 7 April 2021), and a complete list of the 79 individual site data DOIs is provided in Table 2 of this paper.