Nutritious foods are needed for the continuously growing population together with the nutrient for plant growth and production. Inorganic chemical-based fertilizers have been base and are used heavily in today’s soil management procedures, posing serious health and environmental concern. Biofertilizer has been recognized as a reasonable solution for improving soil fertility and crop output in sustainable farming. The use of beneficial microorganisms as biofertilizers has escalated its importance in the agricultural industry due to its potential significance in food safety and sustainable crop production. Biofertilizers can be a valuable component of a comprehensive nutrient management strategy. Overall, nitrogen fixers (N-fixers), potassium and phosphorus solubilizers, growth-promoting rhizobacteria (PGPR), endo and ectomycorrhizal fungi, cyanobacteria, and other beneficial microscopic organisms are incorporated into biofertilizers. Utilizing bio-fertilizers, enhance nutrient and water uptake, plant development, and plant tolerance to abiotic and biotic impacts. These prospective biological fertilizers would play a essential role in soil production and sustainability and also in environmental protection, being eco-friendly and cost-effective inputs for farmers.
Forest fire is one of the leading causes of forest and wildlife loss. The objective of this study was to use satellite imagery and Geographic Information System techniques to assess the forest fire risk zonation map of the Aalital rural municipality. This rural municipality is a part of the Sudurpaschim province, Nepal; is prone to forest fires. Four fire risk zones were established in the study area i.e. very high, high, medium, and low-risk zone. Thematic layers were derived from topographic maps and satellite imageries. For the delineation of fire risk zones, a multi-parametric weighted index model i.e. the FRI (Fire Risk Index) method was adopted. The fire incidence data provided by MODIS were used to validate the resulting forest fire risk zone map. About 25.17% of the total study area lies under the very high-risk zone followed by 46.51% under high risk, 25.68% under medium risk, and 2.62% under the low-risk zone. It can be inferred that the majority of the area is at high risk of forest fire. This map of fire risk zone can help in disaster and forest management as valuable data to prepare effective measures for appropriate fire risk management in the area.
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