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Topic: Soil Classification
Programme: M.Sc.(Environmental Science) Course: Soil Science Semester: IV Code: MSESC4007E04 Topic: Soil Classification Prof. Umesh Kumar Singh Department of Environmental Science School of Earth, Environmental and Biological Sciences Central University of South Bihar, Gaya Note: These materials are only for classroom teaching purpose at Central University of South Bihar. All the data/figures/materials are taken from several research articles/e-books/text books including Wikipedia and other online resources. 1 • Pedology: The origin of the soil , its classification, and its description are examined in pedology (pedon-soil or earth in greek). Pedology is the study of the soil as a natural body and does not focus primarily on the soil’s immediate practical use. A pedologist studies, examines, and classifies soils as they occur in their natural environment. • Edaphology (concerned with the influence of soils on living things, particularly plants ) is the study of soil from the stand point of higher plants. Edaphologist considers the various properties of soil in relation to plant production. • Soil Profile: specific series of layers of soil called soil horizons from soil surface down to the unaltered parent material. 2 • By area Soil – can be small or few hectares. • Smallest representative unit – k.a. Pedon • Polypedon • Bordered by its side by the vertical section of soil …the soil profile. • Soil profile – characterize the pedon. So it defines the soil. • Horizon tell- soil properties- colour, texture, structure, permeability, drainage, bio-activity etc. • 6 groups of horizons k.a. master horizons. O,A,E,B,C &R. 3 Soil Sampling and Mapping Units 4 Typical soil profile 5 O • OM deposits (decomposed, partially decomposed) • Lie above mineral horizon • Histic epipedon (Histos Gr. -
Soils Section
Soils Section 2003 Florida Envirothon Study Sections Soil Key Points SOIL KEY POINTS • Recognize soil as an important dynamic resource. • Describe basic soil properties and soil formation factors. • Understand soil drainage classes and know how wetlands are defined. • Determine basic soil properties and limitations, such as mottling and permeability by observing a soil pit or soil profile. • Identify types of soil erosion and discuss methods for reducing erosion. • Use soil information, including a soil survey, in land use planning discussions. • Discuss how soil is a factor in, or is impacted by, nonpoint and point source pollution. Florida’s State Soil Florida has the largest total acreage of sandy, siliceous, hyperthermic Aeric Haplaquods in the nation. This is commonly called Myakka fine sand. It does not occur anywhere else in the United States. There are more than 1.5 million acres of Myakka fine sand in Florida. On May 22, 1989, Governor Bob Martinez signed Senate Bill 525 into law making Myakka fine sand Florida’s official state soil. iii Florida Envirothon Study Packet — Soils Section iv Contents CONTENTS INTRODUCTION .........................................................................................................................1 WHAT IS SOIL AND HOW IS SOIL FORMED? .....................................................................3 SOIL CHARACTERISTICS..........................................................................................................7 Texture......................................................................................................................................7 -
(AM), BRAZIL Comissão
936 Cira Hortensia Pérez Garcia et al. Comissão 2.3 - Mineralogia do solo CHEMICAL PROPERTIES AND MINERALOGY OF SOILS WITH PLINTHITE AND PETROPLINTHITE IN IRANDUBA (AM), BRAZIL(1) Cira Hortensia Pérez Garcia(2), Hedinaldo Narciso Lima(3), Francisco Weliton Rocha Silva(4), Afrânio Ferreira Neves Junior(5), Wenceslau Geraldes Teixeira(6), Rodrigo Santana Macedo(7) & Sérgio Guimarães Tavares(8) SUMMARY Large areas of Plinthosols with ferruginous materials such as plinthite and/or petroplinthite are fairly common in the Brazilian Amazon basin. This work was carried out to investigate the chemical behavior, mineralogical composition and weathering stage of four representative soil profiles with plinthite and petroplinthite, in Iranduba, AM (Central Amazon). Three well-drained soil profiles at high elevations were studied (P1, Plinthic Vetic Ferralsol; P2 and P3, Vetic Endopetric Plinthosol) and a contrasting poorly drained soil (P4 Haplic Plinthosol), located at low elevation. After profile descriptions, soil samples were collected from each horizon, air-dried, sieved (2 mm), and analyzed for particle-size distribution, pH, exchangeable cations (Al3+, Ca2+, Mg2+, K+, and Na+), as well as available P and total organic carbon (TOC) content. The minerals present in the clay and sand fractions, as well as in the ferruginous materials were identified by X-ray Diffraction (XRD). The weathering stage of these soils was assessed by means of Ki and Kr indexes, and the amounts of free and amorphous Fe and Al oxides by using dithionite citrate bicarbonate (DBC) and ammonium oxalate dissolution procedures, respectively. The results showed that all soils were extremely unfertile, with pH levels ranging between strong and moderate acidity, very low sum of bases and organic matter content, and of available P. -
Evolution of Loess-Derived Soil Along a Topo-Climatic Sequence in The
European Journal of Soil Science, May 2017, 68, 270–280 doi: 10.1111/ejss.12425 Evolution of loess-derived soil along a climatic toposequence in the Qilian Mountains, NE Tibetan Plateau F. Yanga,c ,L.M.Huangb,c,D.G.Rossitera,d,F.Yanga,c,R.M.Yanga,c & G. L. Zhanga,c aState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, NO. 71 East Beijing Road, Xuanwu District, Nanjing 210008, China, bKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, No. 11(A), Datun Road, Chaoyang District, Beijing 100101, China, cUniversity of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing 100049, China, and dSchool of Integrative Plant Sciences, Section of Soil and Crop Sciences, Cornell University, Ithaca NY 14853, USA Summary Holocene loess has been recognized as the primary source of the silty topsoil in the northeast Qinghai-Tibetan Plateau. The processes through which these uniform loess sediments develop into diverse types of soil remain unclear. In this research, we examined 23 loess-derived soil samples from the Qilian Mountains with varying amounts of pedogenic modification. Soil particle-size distribution and non-calcareous mineralogy were changed only slightly because of the weak intensity of chemical weathering. Accumulation of soil organic carbon (SOC) and leaching of carbonate were both identified as predominant pedogenic responses to soil forming processes. Principal component analysis and structural analysis revealed the strong correlations between soil carbon (SOC and carbonate) and several soil properties related to soil functions. -
Fiji)Iji) Uusingsing Tthehe UUSLESLE Mmodelodel Andand a GISGIS
COMPONENT 1A - Project 1A4 Integrated Coastal Management - GERSA Project Spatial Approach - Remote Sensing September 2008 TECHNICAL REPORT MMappingapping PotentialPotential EErosionrosion RRisksisks iinn NNorthorth VVitiiti LLevuevu (FFiji)iji) uusingsing tthehe UUSLESLE MModelodel andand a GISGIS AAuthor:uthor: JJuliaulia PPRINTEMPSRINTEMPS Photo : Julia PRINTEMPS The CRISP programme is implemented as part of the policy developed by the Secretariat of the Pacifi c Regional Environment Programme for a contribution to conservation and sustainable development of coral reefs in the Pacifi c. he Initiative for the Protection and Management of Coral Reefs in the Pacifi c T (CRISP), sponsored by France and prepared by the French Development Agency (AFD) as part of an inter-ministerial project from 2002 onwards, aims to develop a vision for the future of these unique eco-systems and the communities that depend on them and to introduce strategies and projects to conserve their biodiversity, while developing the economic and environmental services that they provide both locally and globally. Also, it is designed as a factor for integration between developed countries (Australia, New Zealand, Japan and USA), French overseas territories and Pacifi c Island developing countries. The CRISP Programme comprises three major components, which are: Component 1A: Integrated Coastal Management and Watershed Management - 1A1: Marine biodiversity conservation planning - 1A2: Marine Protected Areas (MPAs) - 1A3: Institutional strengthening and networking - -
Determining Carbon Stocks in Cryosols Using the Northern and Mid Latitudes Soil Database
Permafrost, Phillips, Springman & Arenson (eds) © 2003 Swets & Zeitlinger, Lisse, ISBN 90 5809 582 7 Determining carbon stocks in Cryosols using the Northern and Mid Latitudes Soil Database C. Tarnocai Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada J. Kimble USDA-NRCS-NSSC, Lincoln, Nebraska, USA G. Broll Institute of Landscape Ecology, University of Muenster, Muenster, Germany ABSTRACT: The distribution of Cryosols and their carbon content and mass in the northern circumpolar area were estimated by using the Northern and Mid Latitudes Soil Database (NMLSD). Using this database, it was estimated that, in the Northern Hemisphere, Cryosols cover approximately 7769 ϫ 103 km2 and contain approxi- mately 119 Gt (surface, 0–30 cm) and 268 Gt (total, 0–100 cm) of soil organic carbon. The 268 Gt organic carbon is approximately 16% of the world’s soil organic carbon. Organic Cryosols were found to have the highest soil organic carbon mass at both depth ranges while Static Cryosols had the lowest. The accuracy of these carbon val- ues is variable and depends on the information available for the area. Since these soils contain a significant por- tion of the Earth’s soil organic carbon and will probably be the soils most affected by climate warming, new data is required so that more accurate estimates of their carbon budget can be made. 1 INTRODUCTION which is in Arc/Info format, the Soils of Northern and Mid Latitudes (Tarnocai et al. 2002a) and Northern Soils are the largest source of organic carbon in ter- Circumpolar Soils (Tarnocai et al. 2002b) maps were restrial ecosystems. -
World Reference Base for Soil Resources 2014 International Soil Classification System for Naming Soils and Creating Legends for Soil Maps
ISSN 0532-0488 WORLD SOIL RESOURCES REPORTS 106 World reference base for soil resources 2014 International soil classification system for naming soils and creating legends for soil maps Update 2015 Cover photographs (left to right): Ekranic Technosol – Austria (©Erika Michéli) Reductaquic Cryosol – Russia (©Maria Gerasimova) Ferralic Nitisol – Australia (©Ben Harms) Pellic Vertisol – Bulgaria (©Erika Michéli) Albic Podzol – Czech Republic (©Erika Michéli) Hypercalcic Kastanozem – Mexico (©Carlos Cruz Gaistardo) Stagnic Luvisol – South Africa (©Márta Fuchs) Copies of FAO publications can be requested from: SALES AND MARKETING GROUP Information Division Food and Agriculture Organization of the United Nations Viale delle Terme di Caracalla 00100 Rome, Italy E-mail: [email protected] Fax: (+39) 06 57053360 Web site: http://www.fao.org WORLD SOIL World reference base RESOURCES REPORTS for soil resources 2014 106 International soil classification system for naming soils and creating legends for soil maps Update 2015 FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS Rome, 2015 The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO in preference to others of a similar nature that are not mentioned. The views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO. -
Soil Management Requirements KSLA November 22, 2011
Soil management requirements KSLA November 22, 2011 by Mats Olsson Department of Soil and Environment, SLU matlts.olsson@ @lslu.se Land use and land management must be sustainable That means e.g. • All ecosystem services have to be considered in a long term ppperspective Land use and land management must be sustainable That means e.g. • All ecosystem services has to be considered in a long term ppperspective • Use and management must be site adapted Soil is a diverse concept – and so is soil management Cryosols Leptosols Cambisols Arenosols Acrisols Calcisols Ferralsols Properties are set by: Gleyso ls Luvisols Podzols Kastanozems Lixisols 1. Topography Fluvisols Histosols 2. Climate Vertisols Albeluvisols Regosols 3. Geology Solonchaks Chernozems 4. Biota and land use Alisols Nitisols 5. Time Phaeozems Stagnosols Solonetz Planosols Andosols Gypsisols Umbrisols Global: 15 300 Mha Plinthosols Durisols Technosols From: World Reference Base for Anthrosols Soil Resources, 2006 Land use and land management must be sustainable That means e.g. • All ecosystem services has to be considered in a long term ppperspective • Use and management must be site adapted • A system analyses ppperspective should be applied Wheat production at different N fertilizing rates, SdSweden, k/h*kg/ha*yr From Lennart Mattsson, 2004 Wheat production at different N fertilizing rates, SdSweden, k/h*kg/ha*yr • Low margilinal impact on production • High negative environmental consequences From Lennart Mattsson, 2004 Fertilizer use, kg perha*yr Netherlands Vietnam Japan -
Effects of Treated Wastewater Irrigation on Soil Salinity and Sodicity in Sfax (Tunisia): a Case Study"
CORE Metadata, citation and similar papers at core.ac.uk Provided by Érudit Article "Effects of treated wastewater irrigation on soil salinity and sodicity in Sfax (Tunisia): A case study" Nebil Belaid, Catherine Neel, Monem Kallel, Tarek Ayoub, Abdel Ayadi, et Michel Baudu Revue des sciences de l'eau / Journal of Water Science, vol. 23, n° 2, 2010, p. 133-146. Pour citer cet article, utiliser l'information suivante : URI: http://id.erudit.org/iderudit/039905ar DOI: 10.7202/039905ar Note : les règles d'écriture des références bibliographiques peuvent varier selon les différents domaines du savoir. Ce document est protégé par la loi sur le droit d'auteur. L'utilisation des services d'Érudit (y compris la reproduction) est assujettie à sa politique d'utilisation que vous pouvez consulter à l'URI https://apropos.erudit.org/fr/usagers/politique-dutilisation/ Érudit est un consortium interuniversitaire sans but lucratif composé de l'Université de Montréal, l'Université Laval et l'Université du Québec à Montréal. Il a pour mission la promotion et la valorisation de la recherche. Érudit offre des services d'édition numérique de documents scientifiques depuis 1998. Pour communiquer avec les responsables d'Érudit : [email protected] Document téléchargé le 13 février 2017 01:03 EFFECTS OF TREATED WASTEWATER IRRIGATION ON SOIL SALINITY AND SODICITY IN SFAX (TUNISIA): A CASE STUDY Effets de l’irrigation par les eaux usées traitées sur la salinité et la sodicité des sols de Sfax (Tunisie): Un cas d’étude Nebil belaid1,2 , CatheriNe Neel2*, MoNeM Kallel3, -
The Muencheberg Soil Quality Rating (SQR)
The Muencheberg Soil Quality Rating (SQR) FIELD MANUAL FOR DETECTING AND ASSESSING PROPERTIES AND LIMITATIONS OF SOILS FOR CROPPING AND GRAZING Lothar Mueller, Uwe Schindler, Axel Behrendt, Frank Eulenstein & Ralf Dannowski Leibniz-Zentrum fuer Agrarlandschaftsforschung (ZALF), Muencheberg, Germany with contributions of Sandro L. Schlindwein, University of St. Catarina, Florianopolis, Brasil T. Graham Shepherd, Nutri-Link, Palmerston North, New Zealand Elena Smolentseva, Russian Academy of Sciences, Institute of Soil Science and Agrochemistry (ISSA), Novosibirsk, Russia Jutta Rogasik, Federal Agricultural Research Centre (FAL), Institute of Plant Nutrition and Soil Science, Braunschweig, Germany 1 Draft, Nov. 2007 The Muencheberg Soil Quality Rating (SQR) FIELD MANUAL FOR DETECTING AND ASSESSING PROPERTIES AND LIMITATIONS OF SOILS FOR CROPPING AND GRAZING Lothar Mueller, Uwe Schindler, Axel Behrendt, Frank Eulenstein & Ralf Dannowski Leibniz-Centre for Agricultural Landscape Research (ZALF) e. V., Muencheberg, Germany with contributions of Sandro L. Schlindwein, University of St. Catarina, Florianopolis, Brasil T. Graham Shepherd, Nutri-Link, Palmerston North, New Zealand Elena Smolentseva, Russian Academy of Sciences, Institute of Soil Science and Agrochemistry (ISSA), Novosibirsk, Russia Jutta Rogasik, Federal Agricultural Research Centre (FAL), Institute of Plant Nutrition and Soil Science, Braunschweig, Germany 2 TABLE OF CONTENTS PAGE 1. Objectives 4 2. Concept 5 3. Procedure and scoring tables 7 3.1. Field procedure 7 3.2. Scoring of basic indicators 10 3.2.0. What are basic indicators? 10 3.2.1. Soil substrate 12 3.2.2. Depth of A horizon or depth of humic soil 14 3.2.3. Topsoil structure 15 3.2.4. Subsoil compaction 17 3.2.5. Rooting depth and depth of biological activity 19 3.2.6. -
Caracterización Fisicoquímica De Un Calcisol Bajo
Revista Mexicana de Ciencias Forestales Vol. 9 (49) DOI: https://doi.org/10.29298/rmcf.v9i49.153 Artículo Caracterización fisicoquímica de un Calcisol bajo diferentes sistemas de uso de suelo en el noreste de México Physicochemical characterization of a Calcisol under different land -use systems in Northeastern Mexico Israel Cantú Silva1*, Karla E. Díaz García1, María Inés Yáñez Díaz1, 1 1 Humberto González Rodríguez y Rodolfo A. Martínez Soto Abstract: Changes in land use cause variations in the physicochemical characteristics of soil. The present study aims to quantify the changes in the physicochemical characteristics of a Calcisol in three land uses in the Northeast of Mexico: Native Vegetation Area (AVN), Cropland Area (AA) and Pasture Area (ASP). Four composite soil samples were taken at 0-5 and 5-30 cm depth from each land- use plot. The variables bulk density, texture, mechanical resistance to penetration, organic matter, pH and electric conductivity were determined. The analysis of variance showed differences in the organic matter with values of 4.2 % for AVN, 2.08 % for ASP and 1.19 % and for AA in the depth 0-5 cm. The texture was clay loam for AA, silty loam for ASP and loam for AVN showing differences. The soil under the three types of land -use presented low salinity (70.2 to 396.0 µS cm-1) showing differences at both depths. The soil hardness showed differences (p≤0.05) between plots. The AA showed lower values (0.78 kg cm- 2), contrasting with the values obtained for ASP (2.98 kg cm-2) and AVN (3.10 kg cm-2). -
Diagnostic Horizons
Exam III Wednesday, November 7th Study Guide Posted Tomorrow Review Session in Class on Monday the 4th Soil Taxonomy and Classification Diagnostic Horizons Epipedons Subsurface Mollic Albic Umbric Kandic Ochric Histic Argillic Melanic Spodic Plaggen Anthropic Oxic 1 Surface Horizons: Mollic- thick, dark colored, high %B.S., structure Umbric – same, but lower B.S. Ochric – pale, low O.M., thin Histic – High O.M., thick, wet, dark Sub-Surface Horizons: Argillic – illuvial accum. of clay (high activity) Kandic – accum. of clay (low activity) Spodic – Illuvial O.M. accumulation (Al and/or Fe) Oxic – highly weathered, kaolinite, Fe and Al oxides Albic – light colored, elluvial, low reactivity Elluviation and Illuviation Elluviation (E horizon) Organic matter Clays A A E E Bh horizon Bt horizon Bh Bt Spodic horizon Argillic horizon 2 Soil Taxonomy Diagnostic Epipedons Diagnostic Subsurface horizons Moisture Regimes Temperature Regimes Age Texture Depth Soil Taxonomy Soil forming processes, presence or Order Absence of major diagnostic horizons 12 Similar genesis Suborder 63 Grasslands – thick, dark Great group 250 epipedons High %B.S. Sub group 1400 Family 8000 Series 19,000 Soil Orders Entisols Histosols Inceptisols Andisols Gelisols Alfisols Mollisols Ultisols Spodosols Aridisols Vertisols Oxisols 3 Soil Orders Entisol Ent- Recent Histosol Hist- Histic (organic) Inceptisol Incept- Inception Alfisol Alf- Nonsense Ultisol Ult- Ultimate Spodosol Spod- Spodos (wood ash) Mollisol Moll- Mollis (soft) Oxisol Ox- oxide Andisol And- Ando (black) Gelisol