Published: Jan. 1, 2023
changes such as climate and land-use change that directly indirectly impact Apis Melliferas. Despite numerous investigations, a comprehensive study incorporates both global local knowledge has yet to be conducted. For long time, researchers have suggested information should taken into account when creating decision support tools for managing activities related natural resources, beekeeping. Unlike previous studies, this research seeks tackle these questions while also introducing the concept of ecosystem service in modelling, offering fresh perspective on sustainable land use. To achieve goal, we combined several methods, includingusing literature knowledge, beekeeper multi-source geospatial data. These data are employed hierarchical fuzzy inference system unified way. The proposed approach was applied Québec region technique appears reliable effective. validation step revealed landscape variable, particularly area used agriculture or grassland, impacted most hive weight throughout season. In addition, demonstrated meteorological factors rainfall relative humidity strongly correlated beekeeping.We showed access can critical factor decision-making beekeeping industry, thus suggest wild-bees conservationists, decision-makers, farmers, beekeepers, other stakeholders join collaborative approach.
Language: Английский