Mada za sehemu hiiSoil Degradation And ConservationMada 7
Soil classification is the process of grouping soils with similar properties (chemical, physical, and biological) into categories that can be referenced and mapped.
Soil composition: Soils combine solid, liquid, and gaseous states and contain all naturally occurring chemical elements.
Soils are classified based on various criteria:
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Maturity
- Zonal soils (mature soils): Fully developed soils with distinct horizons
- Azonal soils (immature soils): Young soils lacking developed profiles, e.g., alluvial and volcanic soils
- Intrazonal soils: Locally influenced soils, e.g., calcimorphic and hydromorphic soils
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Climatic disparities
- Humid tropics soils: Lateritic soils
- Cold region soils: Tundra soils
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Soil forming factors: Classified based on parent rock materials and time of development
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Soil formation processes
- Gleying: Produces peat
- Podsolization: Produces podsols
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Morphological characteristics: Texture, structure, color, depth, and porosity are used to group soils
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Presence of diagnostic horizons: Diagnostic features indicating soil formation processes
- Morphological approach: Focuses on the physical properties of the soil profile
- Genetic approach: Based on soil formation processes and origin
- Integrated (morpho-genetic) approach: Combines morphological and genetic aspects
- USDA Soil Taxonomy: Developed for interpreting soil surveys. Includes 12 soil orders, 64 sub-orders, and 300 great groups
- FAO Legend: Represents global soil distribution and geography
- World Reference Base (WRB): Established in 1980 to unify soil classification systems globally
Early soil classification
- Originated from ancient societies
- Chinese classification (Yugong): Based on texture, color, and drainage
Modern soil classification (1882–1900)
- Initiated by Vasily V. Dokuchaev (Russian scientist)
- Introduced global zonation of soils based on temperature, precipitation, and vegetation
Zonal soils
Mature soils influenced by climate and vegetation.
Examples:
- Arid and semi-arid soils: Sandy, light-colored, may be saline
- Cold climate soils: Tundra soils with frozen subsoil
- Tropical climate soils: Latosols and lateritic soils
Azonal soils
Young soils lacking developed profiles.
Examples:
- Alluvial soils: Found in river valleys, fertile
- Volcanic soils: Rich in nutrients, e.g., andisols
Intrazonal soils
Locally influenced soils with well-developed profiles.
Examples:
- Calcimorphic soils: Found in limestone areas
- Hydromorphic soils: Found in waterlogged areas
The USDA Soil Taxonomy is a hierarchical system that classifies soils based on diagnostic horizons, properties, and processes. It was first published in 1975 and is organized into 12 soil orders, 64 sub-orders, and approximately 300 great groups.
Alfisols
Key features:
- Ochric or umbric epipedons (surface horizons)
- Argillic or natric horizons (accumulation of clay)
- High water availability for plants
Uses: Suitable for agriculture due to water and base supply.
Distribution: Found in low and middle latitudes.
Other characteristics: High clay content.
Andisols
Key features:
- Formed from volcanic materials
- High phosphorus retention and cation exchange capacity
- Dominance of short-range-order minerals or Al-humus complexes
Uses: Fertile and suitable for agriculture.
Distribution: Found in volcanic regions with sufficient moisture.
Aridisols
Key features:
- Lack of water availability for most of the year
- Found in arid regions
- Sparse vegetation (xerophytic plants)
Uses: Limited for agriculture without irrigation.
Distribution: Deserts and semi-arid regions.
Entisols
Key features:
- Absence of distinct horizons due to minimal soil development
- Found in diverse climates
Uses: Varied; depends on location and parent material.
Distribution: Recent deposits, steep slopes, or areas with slow soil formation.
Gelisols
Key features:
- Contain permafrost within 2 meters of the surface
- Features related to freezing and thawing
Uses: Limited agricultural potential due to frozen ground.
Distribution: Polar regions and high altitudes.
Histosols
Key features:
- High organic matter content (>20-30%)
- Found in waterlogged environments
Uses: Fertile if drained; supports peat or muck formation.
Distribution: Wetlands, bogs, and marshes.
Inceptisols
Key features:
- Weakly developed horizons
- Found in various climates except arid regions
Uses: Can support a wide range of crops.
Distribution: Diverse landscapes.
Mollisols
Key features:
- Thick, dark surface horizons (mollic epipedons)
- High calcium and base supply
Uses: Highly fertile, ideal for grasslands and crops.
Distribution: Temperate grasslands (steppes).
Oxisols
Key features:
- Highly weathered soils with kaolin and free oxides
- Low fertility
Uses: Limited without fertilization.
Distribution: Tropical and subtropical regions.
Spodosols
Key features:
- Accumulation of humus, aluminum, and iron (spodic horizon)
- Low nutrient availability
Uses: Limited for agriculture; commonly forest soils.
Distribution: Cool, moist environments with sandy parent material.
Ultisols
Key features:
- Highly leached soils with argillic horizons
- Low base saturation and cation exchange capacity
Uses: Suitable for cultivation with fertilizer application.
Distribution: Warm, humid regions.
Vertisols
Key features:
- High clay content with shrinking and swelling properties
- Formation of cracks and slickensides
Uses: Challenging to manage due to poor drainage but fertile.
Distribution: Tropical and subtropical regions with clay-rich parent material.
The soil classification system identifies major soil groups globally, out of which 11 major groups are found in Tanzania. These soils vary based on geological, hydrological, and meteorological factors.
Major soil types in Tanzania
Histosols
- Formation: Decomposed organic matter in poorly drained areas
- Regions: Kagera, Kigoma, Shinyanga, Kilimanjaro
- Uses: Forestry, horticulture, arable farming
Andosols
- Formation: Volcanic parent materials like ash and pumice
- Regions: Kilimanjaro, Arusha, Mara
- Uses: Tea, coffee, vegetables, wheat
Arenosols
- Formation: Sandy, quartz-rich materials, prone to leaching
- Regions: Tabora, Iringa, Mbeya, Rukwa
- Uses: Cereal crops, groundnuts
Vertosols
- Formation: Clay-rich parent materials, prone to shrink and swell
- Regions: Mwanza, Tabora, Kigoma, Mara, Lindi, Coast
- Uses: Rice, maize, cotton, sugarcane
Fluvisols
- Formation: Alluvial deposits in flood plains
- Regions: Rufiji, Ruaha, Ruvu, Kilombero basins
- Uses: Annual crops, grazing, mangrove forests
Gleysols
- Formation: Poorly drained, fluvial and lacustrine sediments
- Regions: Mbeya, Rukwa, Morogoro
- Uses: Dairy farming, horticulture
Leptosols
- Formation: Thin, shallow soils on steep slopes
- Regions: Dodoma, Lindi, Mbeya, Iringa
- Uses: Forestry, conservation
Ferralsols
- Formation: Deeply weathered, red to yellow soils in warm climates
- Regions: Kigoma, Morogoro, Tanga, Kilimanjaro
- Uses: Agriculture in humid areas
Acrisols
- Formation: Acidic, weathered clay in hilly areas
- Regions: Tanga, Singida, Dodoma, Mbeya
- Uses: Limited agriculture
Solonetz
- Formation: Sodium-rich, fine-textured soils in dry areas
- Regions: Arusha, Dodoma, Rukwa, Mbeya
- Uses: Limited cultivation due to salinity
Luvisols
- Formation: Stratified deposits in gentle slopes
- Regions: Dodoma, Arusha, Tanga, Kilimanjaro
- Uses: Agriculture and grazing
The total area covered by these soils varies, with Cambisols (35.64%) being the most widespread, followed by Acrisols and Leptosols.
- Facilitates global collaboration among soil scientists
- Supports land-use planning and identifying appropriate uses (e.g., forestry vs. agriculture)
- Aids in understanding soil management techniques like controlling erosion or improving fertility
- Links soil properties with disciplines like geology and meteorology
- Helps evaluate soil productivity and value
- High costs: Requires significant resources and expertise
- Complexity: No clear soil boundaries, leading to challenges in categorization
- Foreign origins: Many systems don't fit local Tanzanian conditions
- Criteria overload: Can be confusing due to multiple parameters
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