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Soil Properties, and Soil Organic Carbon Stocks of Tropical Andosol Under Different Land Uses
Open Journal of Soil Science, 2013, 3, 153-162 153 http://dx.doi.org/10.4236/ojss.2013.33018 Published Online July 2013 (http://www.scirp.org/journal/ojss) Soil Properties, and Soil Organic Carbon Stocks of Tropical Andosol under Different Land Uses Girma Abera*, Endalkachew Wolde-Meskel School of Plant and Horticultural Sciences, Hawassa University, Hawassa, Ethiopia. Email: *girmajibat2006 @yahoo.com Received December 21st, 2012; revised April 21st, 2013; accepted April 29th, 2013 Copyright © 2013 Girma Abera, Endalkachew Wolde-Meskel. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT Land use effect of tropical Andosol, with two from crop lands (Site 1 and Site 2) and one from Agroforestry coffee plantation (Site 3) was explored under laboratory conditions to understand their physical, chemical and biological prop- erties and soil organic carbon (SOC) stocks from the rift valley of Ethiopia. Site 3 that acquired less cultivation than others exhibited better aggregate size fraction (AF, 55%), higher aggregate stability (AS, 91%), and greater active mi- crobial biomass (AMB), reflecting better soil structure development. Comparatively, higher total carbon (TC), organic carbon (OC) and total nitrogen (TN) concentrations were recorded in bulk soils and microaggregate fractions of Site 2 and Site 3 than in intensively cultivated Site 1. As expected, microaggregate fractions displayed greater OC and TN than bulk soils across all land uses. Site 1 revealed higher metabolic quotient (qCO2) and lower SOC stock (2.1 Mg·ha−1), suggesting microbial stress, while micro nutrients deficiencies were observed with the alkaline soil (Site 2). -
Fate of Organic Carbon in Paddy Soils – Results of Alisol and Andosol Incubation with 13C Marker
Geophysical Research Abstracts Vol. 18, EGU2016-17404, 2016 EGU General Assembly 2016 © Author(s) 2016. CC Attribution 3.0 License. Fate of organic carbon in paddy soils – results of Alisol and Andosol incubation with 13C marker Pauline Winkler (1), Chiara Cerli (2), Sabine Fiedler (3), Susanne Woche (4), Sri Rahayu Utami (5), Reinhold Jahn (1), Karsten Kalbitz (6), and Klaus Kaiser (1) (1) Soil Science, Martin Luther University Halle-Wittenberg, Germany, (2) Earth Surface Science, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, The Netherlands, (3) Soil Science, Johannes Gutenberg University Mainz, Germany, (4) Soil Science, Leibniz University Hannover, Germany, (5) Faculty of Agriculture, Brawijaya University, Malang, Indonesia, (6) Soil Science & Site Ecology, TU Dresden, Germany For a better understanding of organic carbon (OC) decomposition in paddy soils an incubation experiment was performed. Two soil types with contrasting mineralogy (Alisol and Andosol) were exposed to 8 anoxic–oxic cycles over 1 year. Soils received rice straw marked with 13C (228 at the beginning of each cycle. A second set of samples without straw addition was used as control. Headspacesh of the incubation vessels were regularly analysed for CO2 and CH4. In soil solutions, redox potential, pH, dissolved organic C (DOC), and Fe2+ were measured after each anoxic and each oxic phase. Soils were fractionated by density at the end of the experiment and the different fractions were isotopically analysed. Samples of genuine paddy soils that developed from the test soils were used as reference. During anoxic cycles, soils receiving rice straw released large amounts of CO2 and CH4, indicating strong micro- bial activity. -
Sorption and Desorption of Vanadate, Arsenate and Chromate by Two Volcanic Soils of Equatorial Africa
Article Sorption and Desorption of Vanadate, Arsenate and Chromate by Two Volcanic Soils of Equatorial Africa Sara Gonzalez-Rodriguez 1 and Maria Luisa Fernandez-Marcos 1,2,* 1 Department of Soil Science and Agricultural Chemistry, Universidad de Santiago de Compostela, 27002 Lugo, Spain; [email protected] 2 Institute of Agricultural Biodiversity and Rural Development, University of Santiago de Compostela, 27002 Lugo, Spain * Correspondence: [email protected] Abstract: Sorption of oxyanions by soils and mineral surfaces is of interest due to their role as nutrients or pollutants. Volcanic soils are variable charge soils, rich in active forms of aluminum and iron, and capable of sorbing anions. Sorption and desorption of vanadate, arsenate, and chromate by two African andosols was studied in laboratory experiments. Sorption isotherms were determined by equilibrating at 293 K soil samples with oxyanion solutions of concentrations between 0 and 100 mg L−1 V, As, or Cr, equivalent to 0−2.0 mmol V L−1, 0−1.3 mmol As L−1, and −1 0−1.9 mmol Cr L , in NaNO3; V, As, or Cr were determined by ICP-mass spectrometry in the equilibrium solution. After sorption, the soil samples were equilibrated with 0.02 M NaNO3 to study desorption. The isotherms were adjusted to mathematical models. After desorption with NaNO3, desorption experiments were carried out with a 1 mM phosphate. The sorption of vanadate and arsenate was greater than 90% of the amount added, while the chromate sorption was much lower (19–97%). The sorption by the Silandic Andosol is attributed to non-crystalline Fe and Al, while in Citation: Gonzalez-Rodriguez, S.; the Vitric Andosol, crystalline iron species play a relevant role. -
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 -
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. -
Topsoil Characterization for Sustainable Land Management 1
DRAFT FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS TOPSOIL CHARACTERIZATION FOR SUSTAINABLE LAND MANAGEMENT Land and Water Development Division Soil Resources, Management and Conservation Service Rome 1998 2 ACKNOWLEDGEMENTS This study is based upon earlier work by O.C. Spaargaren "Framework for Characterization and Classification of Topsoils in the World" (1992 unpublished) and A. Hebel "Soil Characterization and Evaluation System (SCE) with Emphasis on Topsoils and their Fertility-related Characteristics" (1994 unpublished). We would also like to acknowledge the cooperation of the University of Hohenheim, especially Dr. Gaiser and Prof. Stahr for testing the system, and various contributions, suggestions and constructive criticism received from Ms L.M. Jansen, Ms A Bot, Mr F. Nachtergaele, and last but not least, Mr M.F. Purnell. CONTENTS 1. Introduction 1 2. Topsoil Characterization Within Existing Soil Classification Systems 3 2.1 Introduction 3 2.2 Fertility Capability Classification (FCC) 3 2.3 Soil Classification Systems 3 3. Factors Influencing Topsoil Properties 7 3.1 Climate 7 3.2 Vegetation and Organic Matter 7 3.3 Topography and Physiography 8 3.4 Mineralogical Soil Constituents 9 3.5 Surface Processes 9 3.6 Biological Activity 10 3.7 Human Activity 10 4. Definition of Topsoil Properties and Modifiers 13 4.1 Texture 13 4.2 Organic Material 13 4.3 Organic Matter Status 14 4.4 Physical Features 16 4.5 Chemical Features 18 4.6 Biological Features 20 4.7 Drainage Features 21 4.8 Land Use 21 4.9 Erosion or Degradation 23 4.10 External Physical Conditions 25 4.11 Slope 26 4.12 Examples of Topsoil Characterization 26 5. -
Chernozems Kastanozems Phaeozems
Chernozems Kastanozems Phaeozems Peter Schad Soil Science Department of Ecology Technische Universität München Steppes dry, open grasslands in the mid-latitudes seasons: - humid spring and early summer - dry late summer - cold winter occurrence: - Eurasia - North America: prairies - South America: pampas Steppe soils Chernozems: mostly in steppes Kastanozems: steppes and other types of dry vegetation Phaeozems: steppes and other types of medium-dry vegetation (till 1998: Greyzems, now merged to the Phaeozems) all steppe soils: mollic horizon Definition of the mollic horizon (1) The requirements for a mollic horizon must be met after the first 20 cm are mixed, as in ploughing 1. a soil structure sufficiently strong that the horizon is not both massive and hard or very hard when dry. Very coarse prisms (prisms larger than 30 cm in diameter) are included in the meaning of massive if there is no secondary structure within the prisms; and Definition of the mollic horizon (2) 2. both broken and crushed samples have a Munsell chroma of less than 3.5 when moist, a value darker than 3.5 when moist and 5.5 when dry (shortened); and 3. an organic carbon content of 0.6% (1% organic matter) or more throughout the thickness of the mixed horizon (shortened); and Definition of the mollic horizon (3) 4. a base saturation (by 1 M NH4OAc) of 50% or more on a weighted average throughout the depth of the horizon; and Definition of the mollic horizon (4) 5. the following thickness: a. 10 cm or more if resting directly on hard rock, a petrocalcic, petroduric or petrogypsic horizon, or overlying a cryic horizon; b. -
Steps and Methods for the Identification of Potential Land-Use Units
Steps and Methods for the Identification of Potential Land-Use Units In the San Patong Land Reform Area, Chiang Mai Province, Northern Thailand Dr. Harald Kirsch1, German Development Service (DED), Phnom Penh Abstract Within a joint project carried out by three academic institutions from Germany, Netherlands and Thailand in 1992 - 1995 potential land-use units were defined for a land reform area in Northern Thailand. After a stepwise integration of physical and socio-economic data all land use potentials and con- strains were analysed to explain land use changes occurred during the project period, and to sug- gest potential future types of land utilization. Besides economical constrains, the soil quality and access to water proved to be the main factors. Since the physical conditions defining the land suitability in the study area are very similar to the flat to slightly undulating lowland areas of Cambodia, conclusions for a process leading from land resource assessment (LRA) to a land suitability evaluation in this country can be drawn. Land suit- ability evaluation is supposed to support Participatory Land Use Planning (PLUP) in Cambodia. This paper summarizes the content and main points of the corresponding presentation given by the author during the LRA Forum in Phnom Penh, Cambodia in Sept. 20042. 1. Introduction The project reported here, with the title Improvement of Crop Yields and Simultaneous Environ- mental Impact Assessment in Conjunction with Intensification and Diversification of Agroforestry on Marginal Land in Northern Thailand was carried out between May 1992 and April 1995. It was sup- ported by the European Commission under the program "Life Sciences and Technologies for De- veloping Countries #3 (STD3). -
Managing Crop Residues and Nitrogen Fertiliser to Improve Wheat Yield
Managing crop residues and nitrogen fertiliser to improve wheat yield potential in water-limited environments Thesis submitted to The University of Adelaide in fulfilment of the requirements for the degree of Doctor of Philosophy Maria del Pilar Muschietti Piana School of Agriculture, Food and Wine The University of Adelaide October 2020 TABLE OF CONTENTS Abstract…………………………………………………………………………..v Declaration……………………………………………………………………….viii Publications and presentations arising from this thesis………………………….ix Acknowledgements……………………………………………………………....xi Structure of the Thesis…………………………………………………………...xiii CHAPTER 1. General introduction and literature review Introduction………………………………………………………...................2 Drivers of wheat nitrogen demand……………………………………….5 Soil nitrogen supply for wheat crop……………………………………...9 Management of in-season nitrogen supply for wheat crop………..........18 Residues as a source of nitrogen………………………..............18 The effect of break crops on wheat yield ………………..........23 Fertiliser as a source of nitrogen…………………………..........24 Identifying the source of nitrogen available for wheat uptake using 15N-labelled techniques…………………….………………………………….……....27 Towards improved nitrogen management for wheat crop via quantification of in- season nitrogen mineralisation……………………………….................28 Research aims………………………………………………...................30 Theoretical framework and methods……………………………………31 Significance and contribution to the discipline………………………………32 References……………………………………………………………............33 ii CHAPTER 2. Combined -
Soil Organic Matter As Sole Indicator of Soil Degradation
Environ Monit Assess (2017) 189:176 DOI 10.1007/s10661-017-5881-y Soil organic matter as sole indicator of soil degradation S.E. Obalum & G.U. Chibuike & S. Peth & Y. Ouyang Received: 27 July 2016 /Accepted: 7 March 2017 # Springer International Publishing Switzerland 2017 Abstract Soil organic matter (SOM) is known to play properties as well. Thus, functions of SOM almost al- vital roles in the maintenance and improvement of many ways affect various soil properties and processes and soil properties and processes. These roles, which largely engage in multiple reactions. In view of its role in soil influence soil functions, are a pool of specific contribu- aggregation and erosion control, in availability of plant tions of different components of SOM. The soil func- nutrients and in ameliorating other forms of soil degra- tions, in turn, normally define the level of soil degrada- dation than erosion, SOM has proven to be an important tion, viewed as quantifiable temporal changes in a soil indicator of soil degradation. It has been suggested, that impairs its quality. This paper aims at providing a however, that rather than the absolute amount, temporal generalized assessment of the current state of knowl- change and potential amount of SOM be considered in edge on the usefulness of SOM in monitoring soil its use as indicator of soil degradation, and that SOM degradation, based on its influence on the physical, may not be an all-purpose indicator. Whilst SOM re- chemical and biological properties and processes of mains a candidate without substitute as long as a one- soils. -
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.