On the Origin of Planosols – the Process of Ferrolysis Revisited
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Eletrochemical Changes in Gleysol of the Amazon Estuary
http://dx.doi.org/10.4322/rca.1796 ORIGINAL ARTICLE George Rodrigues da Silva1* Paulo Augusto Lobato da Silva2 Sérgio Brazão e Silva1 Mário Lopes da Silva Junior1 Eletrochemical changes in Gleysol of the Marcos André Piedade Gama1 Antonio Rodrigues Fernandes1 Amazon estuary Alterações eletroquímicas em Gleissolo do estuário 1 Universidade Federal Rural da Amazônia – UFRA, Instituto de Ciências Agrárias, Av. Presidente Tancredo Neves, 2501, 66077-830, Belém, PA, amazônico Brasil 2 Empresa de Assistência Técnica e Extensão Rural do Estado do Pará – EMATER/PA, Rodovia BR- 316, km 12, s/n, 67105-970, Ananindeua, PA, ABSTRACT: Electrochemical reactions are intensified by soil flooding, which changes Brasil the dynamics of nutrients and negatively affects plant growth. In this work, we aimed to Corresponding Author: evaluate the changes in the redox potential (Eh), pH and nutrient availability in a Haplic E-mail: [email protected] Gleysol soil from a floodplain of the Guamá River, Belém, Pará State. During the period of floods (61 days), samples soils were collected on alternate days and analyzed in dry and wet conditions. Flooding resulted in higher pH values and decreased Eh, which stabilized after 32 days of flooding and did not affect the values of total nitrogen. An increase in the KEYWORDS Oxidation-reduction concentrations of phosphorus, sulfur, iron, manganese, copper and zinc were observed, and Availability of nutrients they were subsequently reduced with time of submergence. The reduction of sulfur occurred Waterlogged soils at low Eh and pH values near neutrality. The results show that nitrogen and sulfur do not limit agricultural production in the lowland soils of the Guamá River. -
Distribution of Nematodes in Vertisol Aggregates Under a Permanent Pasture in Martinique
Applied Soil Ecology ELSEVIER Applied Soil Ecology 4 (1996) 193-200 Distribution of nematodes in vertisol aggregates under a permanent pasture in Martinique Patrick Quénéhervé, Jean-Luc Chotte * Laboratoire de Nhnatologie et Laboratoire de Matière Organique des Sols Tropicaux, Centre ORSTOM, B.P. 8006,97259 Fort de France Cedex, Martinique Accepted 13 May 1996 Abstract This study reports on the distribution of nematodes in different soil habitats under a permanent pasture of digitgrass (Digitaria decuinbens Stent. cv. 'Pangola') in Martinique. The objectives were (i) to evaluate a gentle fractionation method compatible with further soil nematode extraction and (ii) to assess the respective soil microhabitats of plant-feeding nematodes and free-living nematodes. This study indicated that gentle soil fractionation can effectively separate soil habitats and allow the recovery of associated nematodes. Plant-feeding nematodes were equally distributed between inter-aggregate pores, habitats constituted of aggregated fine silt + clay particles and roots + rhizosphere. Most of free-living nematodes (53%) resided in inter-aggre- gate pores. Irrespective of the food resource, densities of nematodes (number per gram of habitat) were similar in habitats coarser than 1000 pm (A5000, A2000, and A1000). Habitats with the finest soil (A200) were not favourable sites because of the rarity of roots (for plant-feeding nematodes) and physical constraints. Keywords: Nematode; Pasture; Soil aggregates; Soil fractionation; Soil habitats; Soil porosity; Vertisol 1. Introduction indicated that carbon concentration controls the dis- tribution of soil microorganisms. Griffin (1981) Soils consist of an assemblage of solid particles demonstrated the importance of water suction in and air-filled or water-filled pores of different sizes microbial metabolism. -
Integrated Management of Vertisols for Crop Production in Ethiopia: a Review
Journal of Biology, Agriculture and Healthcare www.iiste.org ISSN 2224-3208 (Paper) ISSN 2225-093X (Online) Vol.6, No.24, 2016 Integrated Management of Vertisols for Crop Production in Ethiopia: A Review Tadesse Debele 1 Haile Deressa 2 1.Department of Plant Sciences, College of Agriculture and Veterinary Sciences, Ambo University, P.O.Box – 19, Ambo, Ethiopia 2.Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, P.O.Box 100009, Addis Ababa, Ethiopia Abstract In Ethiopia, Vertisols account for 12.6 million hectares, of which about 7.6 million ha found in the highlands and are generally waterlogged due to abundant rainfall during the growing period. These soils are generally hard when dry and sticky when wet, a very low infiltration rate when the surface is sealed, very low saturated hydraulic conductivity and compaction as a result of swelling, and therefore presents serious limitations to their use. Crop production on these soils is limited because of impeded drainage, difficulty of land preparation, soil erosion and low fertility. Long-term adaptations to climate changes on Vertisols management require structural changes to overcome the harsh conditions. Vertisols have considerable productive potential, but they are usually underutilized in the traditional production system. Hence, achieving sustainable and improved management of Vertisols has been a major challenge for Ethiopian farmers for many years. Vertisols management technologies essentially early planting, drainage using BBM, improved variety, and fertilizers application were developed to effectively and efficiently utilize these soils. Early planting of short maturing wheat and teff varieties opened an opportunity for double cropping; excess water drained from the furrows would be utilized for supplemental irrigation. -
Prairie Wetland Soils: Gleysolic and Organic Angela Bedard-Haughn Department of Soil Science, University of Saskatchewan
PS&C Prairie Soils & Crops Journal Agricultural Soils of the Prairies Prairie Wetland Soils: Gleysolic and Organic Angela Bedard-Haughn Department of Soil Science, University of Saskatchewan Summary Gleysolic and Organic soils are collectively referred to as “wetland soils”. They are found in wet low-lying or level landscape positions. Gleysolic soils are found throughout the agricultural Prairies, in association with Chernozemic and Luvisolic soils. In semi-arid regions, they are frequently tilled in dry years and can be very productive due to their relatively high levels of soil moisture and nutrients. In the Prairie Provinces, Organic soils tend to be mostly associated with the Boreal transition zones at the northern and eastern perimeter of the Prairies. With proper management, these can also provide productive agricultural land, particularly for forages. Introduction Soils of the Gleysolic and Organic orders are collectively referred to as “wetland soils”. Soil maps of the agricultural region of the Canadian Prairies seldom have areas mapped as dominantly Gleysolic8 or Organic9; however, these soils are found throughout the region wherever climate and/or topography have led to persistent water-saturated conditions. Gleysols are mineral soils with colors that reflect intermittent or prolonged anaerobic (i.e., saturated, low oxygen) conditions (Fig. 1A). Organic soils reflect permanent anaerobic conditions, which lead to soils that are made up of variably decomposed plant residues, mostly from water-tolerant (i.e., hydrophytic) vegetation (Fig. 1B). Figure 1: A) Humic Luvic Gleysol, Saskatchewan and B) Typic Fibrisol (Organic), Manitoba7. Of the some 100,000,000 ha covered by the Canada Land Inventory (CLI) in the Prairie Provinces12, Gleysolic soils occupy less than 15% of the Prairie ecoregions and up to 40% in the Mid-Boreal (boreal = “northern”) Upland (Alberta) and Interlake Plain (Manitoba) ecoregions12. -
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. -
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 -
Correlation Between the Polish Soil Classification (2011) and International Soil Classification System World Reference Base for Soil Resources (2015)
DE DE GRUYTER 88 OPEN CEZARY KABA£A, MARCIN ŒWITONIAK, PRZEMYS£AW CHARZYÑSKI SOIL SCIENCE ANNUAL DOI: 10.1515/ssa-2016-0012 Vol. 67 No. 2/2016: 88–100 CEZARY KABA£A1*, MARCIN ŒWITONIAK2, PRZEMYS£AW CHARZYÑSKI2 1 Wroc³aw University of Environmental and Life Sciences, Institute of Soil Science and Environmental Protection Grunwaldzka 53, 50-357 Wroc³aw, Poland 2 Nicolaus Copernicus University, Department of Soil Science and Landscape Management Lwowska 1, 87-100 Toruñ, Poland Correlation between the Polish Soil Classification (2011) and international soil classification system World Reference Base for Soil Resources (2015) Abstract: The recent editions of the Polish Soil Classification (PSC) have supplied the correlation table with the World Reference Base for Soil Resources (WRB), which is the international soil classification most commonly used by Polish pedologists. However, the latest WRB edition (IUSS Working Group WRB 2015) has introduced significant changes and many of the former correlations became outdated. The current paper presents the closest equivalents of the soil orders, types and subtypes of the recent edition of the PSC (2011) and WRB (IUSS Working Group WRB 2015). The proposals can be used for general correlation of soil units on maps and in databases, and may support Polish soil scientists to establish the most appropriate equivalents for soils under study, as well as make PSC more available for an international society. Keywords: Polish Soils Classification, WRB, equivalents, reference soil groups, soil types INTRODUCTION quantitative concept. Presently, the Soil Taxonomy is used in over 40 countries (Krasilnikov 2002) as a Pedology appeared in the second half of the 19th primary system for naming the soils. -
Geology As a Georegional Influence on Quercus Fagaceae Distribution
GEOLOGY AS A GEOREGIONAL INFLUENCE ON Quercus FAGACEAE DISTRIBUTION IN DENTON AND COKE COUNTIES OF CENTRAL AND NORTH CENTRAL TEXAS AND CHOCTAW COUNTY OF SOUTHEASTERN OKLAHOMA, USING GIS AS AN ANALYTICAL TOOL George F. Maxey, B.S., M.S. Dissertation Prepared for the Degree of DOCTOR OF PHILOSOPHY UNIVERSITY OF NORTH TEXAS December 2007 APPROVED: C. Reid Ferring, Major Professor Miguel Avevedo, Committee Member Kenneth Dickson, Committee Member Donald Lyons, Committee Member Paul Hudak, Committee Member and Chair of the Department of Geography Sandra L. Terrell, Dean of the Robert B. Toulouse School of Graduate Studies Maxey, George F. Geology as a Georegional Influence on Quercus Fagaceae Distribution in Denton and Coke Counties of Central and North Central Texas and Choctaw County of Southeastern Oklahoma, Using GIS as an Analytical Tool. Doctor of Philosophy (Environmental Science), December 2007, 198 pp., 30 figures, 24 tables, references, 57 titles. This study elucidates the underlying relationships for the distribution of oak landcover on bedrock and soil orders in two counties in Texas and one in Oklahoma. ESRI’s ArcGis and ArcMap was used to create surface maps for Denton and Coke Counties, Texas and Choctaw County, Oklahoma. Attribute tables generated in GIS were exported into a spreadsheet software program and frequency tables were created for every formation and soil order in the tri-county research area. The results were both a visual and numeric distribution of oaks in the transition area between the eastern hardwood forests and the Great Plains. Oak distributions are changing on this transition area of the South Central Plains. -
Some Features of Soil Contamination Based on Soil Monitoring System in Slovakia
SOME FEATURES OF SOIL CONTAMINATION BASED ON SOIL MONITORING SYSTEM IN SLOVAKIA Jozef Kobza National Agricultural and Food Centre – Soil Science and Conservation Research Institute Bratislava, Regional working place Banská Bystrica, Mládežnícka 36, 974 04 Banská Bystrica, Slovakia, e-mail: [email protected] Identification of factors in relation to soil contamination 1. Natural (physical-geographical) factors include: V climatic conditions (temperature, precipitation, evapotranspiration, speed and directions of wind) V soil - lithological conditions (geology, soil type, texture, occurrence of geochemical anomalies, etc.) V vegetation (type of vegetation, rooting, etc.) V topography (slope, relief, elevation/altitude) 2. Anthropogenic factors include: V land use and farming system (crop land, grassland, forest) V use of fertilisers and organic manures V irrigation, melioration practices V other sources (sealing, mining, waste disposal, pollutant emissions) Measured risk elements in soil monitoring network in Slovakia • Cd, Pb, Cu, Zn, Ni, Cr, Se, Co, As (aqua regia) • Hg (total content, AMA 254) • Fw (watersoluble fluorine measured by ionselective electrode) Mean content of risk elements on agricultural soils in Slovakia Soils As Cd Co Cr Cu Ni Pb Zn Se Hg FM 10.8 0.7 8.8 39.1 34.0 37.0 54.3 122.8 - 0.2 ČA 10.0 0.4 7.8 42.9 22.7 29.6 21.1 75.6 0.2 0.06 ČM 10.0 0.4 7.8 42.9 22.7 29.6 21.1 75.6 0.3 0.1 HM 9.2 0.2 10.0 41.5 22.9 32.6 19.7 68.8 0.1 0.05 LM+PG 9.9 0.3 9.7 42.8 17.0 23.3 24.2 66.7 0.2 0.07 KM 14.8 0.3 12.6 52.2 28.9 29.2 27.0 -
Influence of Soil Type on the Reliability of the Prediction Model
agronomy Article Influence of Soil Type on the Reliability of the Prediction Model for Bioavailability of Mn, Zn, Pb, Ni and Cu in the Soils of the Republic of Serbia Jelena Maksimovi´c*, Radmila Pivi´c,Aleksandra Stanojkovi´c-Sebi´c , Marina Jovkovi´c,Darko Jaramaz and Zoran Dini´c Institute of Soil Science, Teodora Drajzera 7, 11000 Belgrade, Serbia; [email protected] (R.P.); [email protected] (A.S.-S.); [email protected] (M.J.); [email protected] (D.J.); [email protected] (Z.D.) * Correspondence: [email protected] Abstract: The principles of sustainable agriculture in the 21st century are based on the preservation of basic natural resources and environmental protection, which is achieved through a multidisciplinary approach in obtaining solutions and applying information technologies. Prediction models of bioavailability of trace elements (TEs) represent the basis for the development of machine learning and artificial intelligence in digital agriculture. Since the bioavailability of TEs is influenced by the physicochemical properties of the soil, which are characteristic of the soil type, in order to obtain more reliable prediction models in this study, the testing set from the previous study was grouped based on the soil type. The aim of this study was to examine the possibility of improvement in the prediction of bioavailability of TEs by using a different strategy of model development. After the training set was grouped based on the criteria for the new model development, the developed basic models were compared to the basic models from the previous study. The second step was to develop Citation: Maksimovi´c,J.; Pivi´c,R.; models based on the soil type (for the eight most common soil types in the Republic of Serbia—RS) Stanojkovi´c-Sebi´c,A.; Jovkovi´c,M.; and to compare their reliability to the basic models. -
List M - Soils - German and French Equivalents of English Terms
LIST M - SOILS - GERMAN AND FRENCH EQUIVALENTS OF ENGLISH TERMS AMERICAN GERMAN FRENCH AMERICAN GERMAN FRENCH Acrisols Acrisol Sol-mediterraneen Gray podzolic soils Podsolierter grauer Podzol Albolls Boden Alfisols Gray warp soils Paternia Sol-peu-evolue or Alluvial soils Auen-Boden Sol-d’alluvions Sol-d’alluvions Alpine meadow soils Alpiner Wiesen- Sol-hydromorphe Gray wooded soils boden Ground-water podzols Gley-Podsol Podzol Andepts Ground-water Grundwasser- Laterite Andosols Andosol Sol-peu-evolue laterite soils Laterite roche- Grumosols Grumosol Vertisol volcanique Half bog soils Anmoor Tourbe Aqualfs Halomorphic soils Salz-Boden Sol-halomorphe Aquents Halosols Halosols Sal-halomorphe Aquepts Hemists Aquods High moor Hochmoor Tourbe Aquolls Histosols Aquox Humic gley soils Humus Gley Boden Aquults Sol-humique-a-gley Arctic tundra soils Arktische Tundra Sol-de-toundra Humic soils Humus-reiche- Sol-riche-en- Boden Boden humus Arenosols Arenosol Sol-brut sable Humods Arents Hydromorphic soils Hydromorpher- Sol-hydro- Argids Boden morphique Aridisols Inceptisols Azonal soils Roh-Boden Sol-brut Intrazonal soils Intrazonaler Boden Sol Black earth use Schwarzerde Chernozem Kastanozems Chernozems Krasnozems Krasnozem Krasnozem Bog soils Moorboden Tourbe laterites Laterit-Boden Sol-lateritique Boreal frozen taiga Sol-gele Latosols Latosol Sol-ferralitique soils Lithosols Gesteins-roh-Boden Sol-squelettique Boreal taiga and Sol Low-humic gley soils forest soils Luvisols Luvisols Sol lessivage Brown desert steppe Burozem Sierozem Mediterranean -
Topic 2 WRB MINERAL SOILS CONDITIONED by (SUB-) HUMID
TopicTopic 22 WRBWRB MINERALMINERAL SOILSSOILS CONDITIONEDCONDITIONED BYBY (SUB(SUB--)) HUMIDHUMID CLIMATECLIMATE AlbeluvisolsAlbeluvisols,, LuvisolsLuvisols andand UmbrisolsUmbrisols SoilSoil FormingForming FactorsFactors z Significant period (season) when rainfall exceeds evapo-transpiration: Excess water for redistribution. z History of glaciation and periglacial conditions. z Natural vegetation is woodland (boreal and temperate). z Three major types of Landform: - Pleistocene sedimentary lowlands: Glaciofluvial outwash; Glacial sands and Gravels: glacial till; glacio- lacustrine deposits; wind-blown silt (loess|) & sand. - Uplifted & dissected Pre-Pleistocene sedimentary ‘Cuestas’: Limestones; Sandstones & Mudstones, often with thin loess cover. - Uplifted and dissected Caledonian & Hercynian Massifs: Folded sedimentary, metamorphic and igneous rocks. CLIMATECLIMATE TheThe zonalzonal conceptconcept Boreal Forset Long-grass Steppe Tropical Rainforest Cool; P > Et Warm; P < Et Hot; P > Et Strong leaching of Weak upward flux of Leaching of mobile ions; mobile ions; mobile ions (Ca & Na); Strong mineral weathering (Fe Acidification; Salinization; & Al oxides); Low biological activity Strong biological activity; Strong biological activity; Deep rooting & & incorporation of OM Rapid OM cycling (low OC) incorporation of OM Transport of weathered products, Si, etc. ClimaticClimatic CharacteristicsCharacteristics Spring Temperature Recharge 0-50 50 – 250 250 – 500 500 1000 1000 – 2000 2000 - 3000 MainMain soilsoil formingforming processesprocesses