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Showing posts from March, 2025

Linking Soil Properties and Bacterial Communities with Organic Matter

       Vegetation succession plays a crucial role in shaping soil properties and bacterial communities, ultimately influencing organic matter carbon dynamics. As plant communities evolve, they contribute varying amounts of organic inputs such as root exudates and leaf litter, which alter soil physicochemical characteristics, including pH, nutrient availability, and moisture content. These changes, in turn, influence microbial diversity and composition, as bacterial communities adapt to the shifting soil environment. Soil bacteria play a vital role in organic matter decomposition, carbon sequestration, and nutrient cycling, thereby regulating carbon fluxes in the ecosystem. Understanding the intricate relationships between soil properties, microbial communities, and organic matter carbon during vegetation succession is essential for predicting ecosystem carbon storage potential and designing sustainable land management strategies. #SoilProperties #BacterialCommunitie...

N2O Emissions from Soil in Tomato Production

     The application of biochar, biogas slurry, and dicyandiamide (DCD) in soil management plays a significant role in mitigating nitrous oxide (N₂O) emissions while enhancing soil fertility and crop productivity. In protected tomato cultivation, these amendments influence nitrogen dynamics and microbial activities, directly affecting greenhouse gas emissions. Biochar improves soil structure, enhances water retention, and provides a stable carbon source, leading to reduced N₂O emissions by promoting complete nitrification and denitrification processes. Biogas slurry, a nutrient-rich organic amendment, supplies readily available nitrogen for plant uptake, reducing nitrogen losses and gaseous emissions. Meanwhile, DCD, a nitrification inhibitor, slows down the conversion of ammonium to nitrate, effectively minimizing N₂O production. The combined use of these amendments has shown promising results in maintaining soil health, increasing nitrogen use efficiency, and reducing t...

Prof. Dr. Yuan-Hsiou Chang, National Taichung University of Science and Technology, Taiwan. He Won a Best Researcher Award in the event of International Soil Scientist Awards

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  Visit : https://soilscientists.org/   Nomination Link:  https://soilscientists. org/award-nomination/? ecategory=Awards&rcategory= Awardee   Registration Link:  https://soilscientists. org/award-registration/ For Enquiries:  contact@ soilscientists.org   Get Connected Here --------------------------   -------------------------- youtube.com/@soilscientists22/ shorts   www.instagram.com/soil_ scientistsawards/ www.facebook.com/profile.php? id=61567537160419 in.pinterest.com/ soilscientists/   www.linkedin.com/in/ soilscientists-scientist- 69a703332 x.com/soilscientist22 https://www.blogger.com/u/0/ bl og/posts/8382957027147344964

Soil nitrogen dynamics between rice and crops

          Soil nitrogen dynamics play a crucial role in regulating the differential nitrogen uptake between rice and upland crops. In flooded paddy fields, anaerobic conditions favor ammonium ( N H 4 + NH_4^+ N H 4 + ​ ) as the dominant nitrogen form, which is readily absorbed by rice plants due to their preference for ammonium nutrition. In contrast, upland crops, grown in well-aerated soils, primarily rely on nitrate ( N O 3 − NO_3^- N O 3 − ​ ) as their nitrogen source, as nitrification is more prominent under aerobic conditions. These differences in nitrogen availability and uptake strategies influence crop growth, nutrient use efficiency, and overall productivity. Understanding soil nitrogen transformations and crop-specific nitrogen uptake mechanisms is essential for optimizing fertilizer management and improving sustainable agricultural practices.  #SoilNitrogen #NitrogenUptake #RiceVsUplandCrops #SoilDynamics #Agriculture #CropNutrition #Sustainable...

Soil Carbon

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        Soil carbon content refers to the amount of carbon stored in soil, primarily in the form of organic matter and inorganic carbon compounds. It plays a crucial role in soil fertility, water retention, and overall ecosystem health. Organic carbon, derived from decomposed plant and microbial matter, enhances soil structure and nutrient availability, while inorganic carbon, mainly from carbonate minerals, contributes to long-term carbon storage. Soil carbon dynamics are influenced by land use, climate, and management practices, making it a key factor in carbon sequestration and climate change mitigation. #SoilCarbon #CarbonSequestration  #SoilHealth #ClimateChange  #CarbonStorage  #RegenerativeAgriculture  #SoilOrganicMatter  #SustainableFarming #SoilFertility  #CarbonCycle #EcosystemServices  #SoilScience #Agriculture #ClimateMitigation  #CarbonSink Visit : https://soilscientists.org/   Nomination Link:  https://s...

Purple Soil

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       Purple soil, commonly found in subtropical and tropical regions, derives its distinctive color from the high content of iron and manganese oxides. It is primarily developed from purple sandstones and shales, making it rich in minerals but often low in organic matter. These soils are commonly found in regions of China, particularly in the Sichuan Basin. While purple soils have good drainage and moderate fertility, they are prone to erosion due to their loose structure and sloping landscapes. To improve agricultural productivity, conservation practices such as organic amendments, terracing, and cover cropping are essential. #PurpleSoil  #SoilScience  #SoilFertility  #SoilErosion  #SustainableAgriculture  #EnvironmentalScience  #LandManagement Visit : https://soilscientists.org/   Nomination Link:  https://soilscientists. org/award-nomination/? ecategory=Awards&rcategory= Awardee   Registration Link:  https:...

Improving land surface model accuracy in soil moisture

        Improving the accuracy of land surface models (LSMs) in soil moisture simulations is crucial for better hydrological and climate predictions. Traditional LSMs rely on physically based parametric schemes to simulate soil moisture dynamics, but these models often suffer from uncertainties due to simplified parameterization and inadequate representation of complex soil-vegetation-atmosphere interactions. Recent advancements in machine learning (ML) offer a promising approach to enhancing soil moisture simulations by integrating data-driven techniques with conventional parametric schemes. ML algorithms, such as random forests, support vector machines, and deep learning models, can refine parameter estimation, optimize model calibration, and correct biases in LSM outputs. By leveraging remote sensing data, in-situ soil moisture measurements, and meteorological inputs, ML-based hybrid models can significantly improve predictive accuracy and spatial resolution. Int...

Maize Soybean Intercropping Improves Yield Stability and Sustainability in Red Soil

       Maize-soybean intercropping is a sustainable agricultural practice that enhances yield stability, soil fertility, and resource efficiency, particularly in red soil regions. This intercropping system optimizes land use by improving nutrient cycling, increasing biomass production, and reducing soil erosion. The complementary growth patterns of maize and soybean allow for better light interception and root interactions, leading to improved nitrogen fixation and enhanced crop productivity. Additionally, intercropping helps suppress weeds, control pests, and minimize the need for chemical fertilizers, contributing to long-term soil health and sustainability. By integrating maize and soybean in red soil ecosystems, farmers can achieve higher yields, maintain soil structure, and enhance food security while promoting environmentally friendly farming practices. #Maize #Soybean #Intercropping #SustainableAgriculture #SoilHealth #YieldStability #RedSoil #Agroecology #Fo...

A global soil spectral grid based on space sensing

       A global soil spectral grid based on space sensing is a revolutionary approach to mapping soil properties across the planet using satellite-based hyperspectral and multispectral sensors. This method integrates remote sensing, machine learning, and soil spectroscopy to estimate key soil attributes such as organic carbon, moisture content, texture, and mineral composition at high spatial resolution. By leveraging extensive spectral libraries and ground-truth calibration data, scientists can develop predictive models that enhance soil monitoring for precision agriculture, climate change studies, and land management . This technology provides a cost-effective, scalable, and non-destructive alternative to traditional soil sampling, enabling real-time decision-making for sustainable land use. #SoilSpectroscopy  #RemoteSensing  #PrecisionAgriculture  #SoilCarbon  #HyperspectralImaging  #LandManagement  #ClimateChange  #GIS ...

Soil Type in Rice Cultivation Optimizes Yield

  Matching the appropriate phosphorus (P) fertilizer type with soil characteristics in rice cultivation is crucial for optimizing yield, improving soil phosphorus availability, and enhancing phosphorus use efficiency. Different soil types exhibit varying capacities to retain and release phosphorus, influencing plant uptake and overall crop performance. For instance, acidic soils with high iron and aluminum oxides tend to fix phosphorus, making soluble fertilizers like diammonium phosphate (DAP) more effective. In contrast, alkaline or calcareous soils may benefit from phosphate rock applications due to their slower phosphorus release. By selecting the right phosphorus fertilizer for specific soil conditions, farmers can maximize rice productivity, minimize nutrient losses, and promote sustainable agricultural practices. This targeted approach not only enhances soil fertility but also reduces environmental impacts associated with excessive phosphorus applications. #RiceCultivation ...

Soil mapping based on assessment of environmental similarity

  Soil mapping based on the assessment of environmental similarity and the selection of calculating samples is a crucial approach in precision agriculture and land management. This method involves identifying regions with similar environmental characteristics—such as climate, topography, vegetation, and parent material—to optimize soil sampling strategies. By analyzing these environmental similarities, researchers can reduce the number of required soil samples while maintaining accuracy in soil property predictions. Advanced geospatial techniques, including Geographic Information Systems (GIS) and machine learning models, are often employed to refine the selection process. This approach enhances the efficiency of soil surveys, minimizes costs, and provides reliable data for sustainable land use planning, soil fertility management, and environmental conservation. #SoilMapping #EnvironmentalSimilarity #PrecisionAgriculture #SoilAssessment #GIS #LandManagement #SustainableAgriculture...

Drought

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       Drought is a prolonged period of reduced precipitation that leads to water shortages, affecting agriculture, ecosystems, and human societies. It is driven by climatic factors such as changing weather patterns, increased temperatures, and reduced rainfall, often intensified by global climate change. Drought significantly impacts crop yield, soil moisture, and groundwater levels, leading to food insecurity and economic losses. It also disrupts ecosystems by reducing biodiversity and increasing the risk of wildfires and desertification. Effective drought mitigation strategies include sustainable water management, drought-resistant crop varieties, soil conservation techniques, and climate adaptation policies. Understanding the dynamics of drought and implementing proactive measures can help minimize its adverse effects on both natural and human systems. #Drought #ClimateChange #WaterScarcity #SustainableAgriculture #SoilConservation #FoodSecurity #DroughtResilien...