Humic substances result from the degradation of biopolymers of organic residues in the soil due to microbial activity. The objective of this study was to evaluate the influence of three different ecosystems: forest, pasture and maize crop on the formation of soil humic substances relating to their biological and chemical attributes. Microbial biomass carbon (MBC), microbial respiratory activity, nitrification potential, total organic carbon, soluble carbon, humic and fulvic acid fractions and the rate and degree of humification were determined. Organic carbon and soluble carbon contents decreased in the order: forest > pasture > maize; humic and fulvic acids decreased in the order forest > pasture = maize. The MBC and respiratory activity were not influenced by the ecosystems; however, the nitrification potential was higher in the forest than in other soils. The rate and degree of humification were higher in maize soil indicating greater humification of organic matter in this system. All attributes studied decreased significantly with increasing soil depth, with the exception of the rate and degree of humification. Significant and positive correlations were found between humic and fulvic acids contents with MBC, microbial respiration and nitrification potential, suggesting the microbial influence on the differential formation of humic substances of the different ecosystems.
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http://dx.doi.org/10.1590/s1517-83822014000300028 | DOI Listing |
Int J Environ Res Public Health
November 2024
Department of Agricultural, Environmental and Food Sciences (DiAAA), University of Molise, Via Francesco de Sanctis snc, 86100 Campobasso, Italy.
Regulation (EU) 2016/429 introduces comprehensive guidelines for managing transmissible animal diseases, including zoonoses. The subsequent Commission Implementing Regulation 2018/1882 categorizes these diseases into five groups, each with specific responses, ranging from mandatory eradication to optional eradication or surveillance. Key regulatory priorities include enhanced animal traceability, biosecurity, wildlife pathogen control, sustainable farming practices, and minimizing the impact of diseases on public health, animal health, and the environment.
View Article and Find Full Text PDFGlob Chang Biol
January 2025
University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Agriculture serves as both a source and a sink of global greenhouse gases (GHGs), with agricultural intensification continuing to contribute to GHG emissions. Climate-smart agriculture, encompassing both nature- and technology-based actions, offers promising solutions to mitigate GHG emissions. We synthesized global data, between 1990 and 2021, from the Food and Agriculture Organization (FAO) of the United Nations to analyze the impacts of agricultural activities on global GHG emissions from agricultural land, using structural equation modeling.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Geography, School of Art and Sciences, National University of Mongolia, Ulaanbaatar, 210646, Mongolia.
Rational utilization of natural resources is crucial in arid and semi-arid areas due to their vulnerable ecosystems and low resource resilience. Achieving a balance between grassland production and livestock grazing, known as the pasture-livestock balance, is essential for the sustainable development of grassland resources on the Mongolian Plateau (MP). This study focuses on the grassland regions of 8 provinces in eastern Mongolia (MNG) and 7 leagues in Inner Mongolia (IMNG), China, during the period from 2018 to 2022.
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December 2024
Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Legume content (LC) in grass-legume mixtures is important for assessing forage quality and optimizing fertilizer application in meadow fields. This study focuses on differences in LC measurements obtained from unmanned aerial vehicle (UAV) images and ground surveys based on dry matter assessments in seven meadow fields in Hokkaido, Japan. We propose a UAV-based LC (LC) estimation and mapping method using a land cover map from a simple linear iterative clustering (SLIC) algorithm and a random forest (RF) classifier.
View Article and Find Full Text PDFHist Sci
December 2024
Interdisciplinary Center of Social Sciences, NOVA School of Social Sciences and Humanities, Lisbon, Portugal.
This paper examines the intersection of environmental history and the history of science, specifically the impact of forestry science and fire management on land use and community dynamics in rural Portuguese mountains. It further traces the evolution of fire management from an ancestral rural practice to a scientific concern and the subsequent integration of vernacular knowledge with scientific methods. In the early twentieth century, fire was a common tool in rural Portugal for land clearance, pasture management, and soil enrichment.
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