Nitrous oxide (NO) is the main greenhouse gas emitted from farming systems and is associated with nitrogen (N) fertilizer application as well as decomposition of organic matter present in the environment. The objective of this study was to determine the effect of post-harvest straw burning and synthetic N fertilization on the dynamics of NO emissions in the sugarcane-soil system in Tucuman, Argentina, compared with a native forest. Close-vented chambers were used to capture NO during three consecutive growing seasons. The highest NO emissions from the sugarcane-soil system coincided with the period of high soil and air temperatures, rainfall and soil N content. The effect of synthetic N fertilization on annual cumulative NO emission was 7.4-61.5% higher in straw burned than in unburned treatments, especially during a wet growing season. There was a significant effect of treatments on NO emission factors among growing seasons: 0.58-1.67% and 0.94-3.34% in the unburnt and burnt treatments, respectively. The emission factors for sugarcane are highly dependent on rainfall, temperature and crop management practices; regarding the latter, avoiding straw burning and reducing N soil availability, assessing alternative N fertilizers or new application modes such as split rates, seem to be the key for mitigating NO emissions from the sugarcane-soil system in Tucumán, Argentina.
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http://dx.doi.org/10.1016/j.scitotenv.2017.02.172 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Biofuel Laboratory, Department of Energy, Tezpur University, Assam, 784028, India.
Agro-processing industries generate a substantial quantity of biomass wastes. Conversion of these wastes into valuable material could be profitable considering both environmental and economic aspects. Among various biomass conversion methods, hydrothermal conversion can be used for co-production of biofuel and other valuable materials like carbon quantum dots (CQDs) and activated carbons.
View Article and Find Full Text PDFEnviron Sci Technol
December 2024
Key Laboratory of Global Change and Marine Atmospheric Chemistry, MNR, Xiamen 361001, China.
Accurately assessing the dry deposition fluxes of inorganic nitrogen aerosol (aerosol-IN) is crucial for mitigating the ecological damage caused by excessive nitrogen in oceanic equilibria. We developed a dry deposition model to assess the dry deposition fluxes of aerosol-IN into Chinese offshore areas over a decade, with the range of 2.81 × 10-1.
View Article and Find Full Text PDFEnviron Monit Assess
December 2024
Laboratory of Ecology and Environmental Management, Science and Technology Advanced Institute, Van Lang University, Ho Chi Minh City, Vietnam.
The urban setting notwithstanding, rice cultivation prevails on the outskirts of Hanoi, with the burning of rice straw in the fields posing a significant challenge. Therefore, it is crucial to conduct spatial mapping of rice distribution, assess dry biomass, and determine emissions from rice straw burning within Hanoi city. The efficacy of the deep convolutional neural networks (DCNN) model has been evident in accurately mapping the spatial distribution of rice in Hanoi, where rice cultivation extensively thrives in suburban areas.
View Article and Find Full Text PDFChemosphere
December 2024
Department of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, 43500, Semenyih, Selangor Darul Ehsan, Malaysia.
J Environ Manage
December 2024
Department of Agroforestry Technology, Science and Genetics, School of Advanced Agricultural and Forestry Engineering, Campus Universitario s/n, Castilla La Mancha University, E-02071, Albacete, Spain.
Several indexes have been proposed in the scientific literature and widely applied in many environments to evaluate the ecosystem multifunctionality. However, some indexes are based on the simple average of the environmental indicators (EIs) and ecosystem functions (EFs), which do not consider the ecosystem complexity and mutual relationships among the composing variables. In order to overcome these limitations, this study proposes a new method that modifies the ecosystem multifunctionality (EMF) index proposed by Maestre et al.
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