[Propiedades Hidraulicasl Del Un Nitisol En Kabete, Kenya]

Total Page:16

File Type:pdf, Size:1020Kb

[Propiedades Hidraulicasl Del Un Nitisol En Kabete, Kenya] Tropical and Subtropical Agroecosystems, 15 (2012): 595 - 609 SOIL HYDRAULIC PROPERTIES OF A NITISOL IN KABETE, KENYA [PROPIEDADES HIDRAULICASL DEL UN NITISOL EN KABETE, KENYA] G.N. Karukua*, C.K.K. Gachenea, N. Karanjaa, W. Cornelisb, H. Verplanckeb and G. Kironchia, aFaculty of Agriculture, University of Nairobi. P. O. Box 29053- 00625 Kangemi, Nairobi, Kenya. Email: [email protected]: b Department of Soil Management and Soil care, University Ghent, Coupure Links 653, B-9000 Gent, Belgium, *Corresponding author SUMMARY positively by soil organic matter. The Van Genuchten parameters of air entry value (α) and pore size Water relations are among the most important distribution (n) indicated that pore size distribution physical phenomena that affect the use of soils for was not even in the AP and AB horizons. The field agricultural, ecological, environmental, and capacity was attained at higher matric potential at - engineering purposes. To formulate soil-water 5kPa for Bt1 while Bt2 and AP, AB, Bt2 and Bt3 was at relationships, soil hydraulic properties are required as -10kPa.The functional relationship, K(θ) = aθb that essential inputs. The most important hydraulic deals with water redistribution as a result of soil properties are the soil-water retention curve and the hydraulic properties and evaporative demand of the hydraulic conductivity. The objective of this study atmosphere was highly correlated to soil moisture was to determine the soil hydraulic properties of a content and texture with R2 values > 0.85. Nitisol, at Kabete Campus Field Station. Use of an internal drainage procedure to characterize the Key words: Soil water retention; hydraulic hydraulic properties and soil and water retention conductivity; water content; field capacity; permanent curves allowed for the establishment of the moisture wilting point; Van Genuchten parameters and matric potential at field capacity and permanent wilting point. The Bt2 (84 -115) and Bt3 (115 - 143 RESUMEN cm) had the highest clay contents of 619 compared to Ap, AB and Bt1 horizons. The PWP was attained at Las relaciones del agua son entre los fenómenos soil moisture contents of 0.223, 0.284, 0277, 0.307 físicos que afectan el uso del suelo para propósitos 3 -3 and 0.314 m m in the Ap, AB, Bt1, Bt2, and Bt3 agrícolas, ecológicos, ambientales y de ingeniería. horizons, respectively. Horizontal saturated hydraulic Para formulas las relaciones agua-suelo, se requieren -1 conductivity (Ksat) was high at 6.0 cm hr in Ap como datos esenciales las propiedades hidráulicas del horizon and decreased to 0.4 cm hr-1 in the subsurface suelo. Las propiedades hidráulicas más importantes horizon (Bt3). Ksat in the vertical direction was higher del suelo son la curva de retención de agua y la than horizontal and ranged from 8.3 cm hr-1 in surface conductividad hidráulica. El objetivo de este estudio -1 layer to 0.6 cm hr in Bt3 horizon, with exception of fue determinar las propiedades hidráulicas del suelo Bt1 and Bt2 where horizontal Ksat was greater than Nitisol en la estación del campus Kabete. Se usó un vertical. The Ap horizon also had the highest crop procedimiento de drenaje interno para caracterizar las extractable water. Though the AB and Bt1 had the propiedades hidráulicas y las curvas de retención del same water content at low matric suction, the suelo y agua que permitieron el establecimiento de la variation was very wide as the SWRC approached humedad y el potencial matrico en capacidad de saturation point. Bt1 and Bt2 also had similar water campo y punto de marchitez permanente. El Bt2 (84 - contents at suction range of – 7kPa after which Bt1, 115) y Bt3 (115 - 143 cm) tuvieron los más altos tended towards Bt3. Bt3 had the narrowest range of contenidos de arcilla de 619 comparados con los crop extractable water and thus was attributed to horizontes Ap, AB y Bt1. El PWP fue alcanzado con texture. The Bt3 retained the most amount of water at un humedad del suelo de 0.223, 0.284, 0277, 0.307 y 3 -3 3 -3 0.314 m m concluding that θPWP increased with 0.314 m m en los horizontes Ap, AB, Bt1, Bt2, y Bt3 depth. The total available water capacity between FC respectivamente. La conductividad saturada -1 -1 and PWP in the profile was 79.2 mm m . The study horizontal (Ksat) fue mayor en 6.0 cm hr en Ap observed that the field capacity, crop available water horizontal y disminuyo a 0.4 cm hr-1 en la contents and hydraulic conductivities were influenced subsuperficie horizontal (Bt3)). Ksat en dirección 595 Karuku et al 2012. vertical fue más alta que la horizontal en un rango de fueron influenciados positivamente por la materia 8.3 cm hr-1 en la capa superficial a 0.6 cm hr-1 en el orgánica del suelo. Los parámetros de Van Genuchten horizonte Bt3 con excepción de Bt1, y Bt2 donde Bt1 para entrada de aire (α) y distribución de tamaño de tuvo el mismo contenido de agua en la succión poro (n) indicaron que la distribución de tamaño de matricial baja, la variación fue muy amplia en la poro no estuvo incluso en los horizontes AP y AB h. SWC, el cual fue cercano al punto de saturación Bt1 y AB, Bt2 y Bt3 fueron de -10kPa .La relación funcional b Bt2 tuvieron también contenidos rangos de succión de K(θ) = aθ que de acuerdo con la redistribución como agua similares de – 7kPa después del cual Bt1, tendió resultado de las propiedades hidraulicas del suelo y la hacía Bt3. Bt3 tuvo el más estrecho rango de agua demanda evaporativa de la atmosfera fue altamente extraíble de un cultivo y sin embargo fue atribuido a correlacionada con el contenido de humedad del suelo 2 la textura. La Bt3 retuvo la mayor cantidad de agua en y la textura con valores de R >0.85 3 -3 0.314 m m concluyendo que la θPWP incrementó con la profundidad. La capacidad total de agua disponible Palabras clave: Retención de agua del suelo; entre FC y PWP en el perfil fue 79.2 mm m-1. En el conductividad hidráulica; contenido de agua; estudio se observó la capacidad de campo, contenido capacidad de campo; punto de marchitez permanente; y disponibilidad de agua y conductividad del suelo parámetros de Van Genuchten. INTRODUCTION Other investigators, therefore, have sought to derive soil hydraulic properties from moisture retention Knowledge of soil hydraulic properties is important curves of undisturbed soil cores measured in the for describing and predicting movements of water and laboratory (Brooks and Corey, 1964; Mualem, 1976; solutes through soils, which may be related to many van Genuchten, 1980; Kosugi, 1999). agronomic, engineering, and environmental fields of research. Key soil hydraulic properties include Various indirect methods have also been used saturated hydraulic conductivity (K ), unsaturated including predicting hydraulic properties from more s easily measured soil properties, such as texture, bulk hydraulic conductivity function – K(ψ), Κ(θ) or Κ(ϑ), density or organic matter content, using pedo-transfer where ψ is water potential, θ is volumetric water functions (PTFs), and the inverse modelling content and ϑ is water volume ratio – and the soil techniques have provided a good review of these moisture retention curve. Over the years many direct functions (Wosten et al., 2001). Since PTFs predict methods have been developed for measuring soil missing characteristics from already available basic hydraulic properties in the field, for example the soil data, they have the clear advantages of being internal drainage method (Hillel et al., 1972; Libardi relatively inexpensive, easy to derive and convenient et al., 1980), the zero plane flux method (Richards et to use. However, for application at a specific point, al., 1956) and the Guelph permeameter method prediction by a PTF might be inadequate and in such (Reynolds and Elrick, 1985), and in the laboratory, cases, direct measurement is the only option. e.g. the hot-air method (Arya et al., 1975), the out- flow method (Gardner, 1956) and the constant head Various types of organic materials have been found to method (Klute and Dirksen, 1986). have similar effects on soil physical properties (Barzegar et al., 2002), and almost all studies indicate that application of organic materials improves soil On sandy loam and silt loam soils, water retention properties (Celik et al., 2004; Mando et al., 2005). curves generated using data obtained by the However, reported effects of manure additions on undisturbed soil core and field internal drainage soils’ hydraulic properties, such as water retention methods agree well, but give saturated conductivity and saturated hydraulic conductivity, are inconsistent. values that are up to three times higher than those Unger and Stewart (1974) reported that water obtained using the Guelph permeameter (Paige and contents at low tensions (< 150 kPa) were Hillel, 1993). In addition, both the soil water retention significantly higher for manure-treated soils than for curves and hydraulic conductivity values obtained on untreated soils, but they found no significant a sandy loam soil using various measuring techniques difference at 1500 kPa tension. Sommerfeldt and differ considerably (Mallants et al., 1997). Hence, no Chang (1987) found that manure amendment single method has been developed that performs well significantly (P ≤ 0.05) increased soil water retention in a wide range of circumstances and for all soil (at 0-5 and 10-15 cm depths) compared with the types. Most direct methods require restrictive initial control across the whole tension range between 0 and and boundary conditions, which make measurements 1500 kPa (Miller et al., 2002). Obi and Ebo (1995) time consuming, range restrictive and expensive. 596 Tropical and Subtropical Agroecosystems, 15 (2012): 595 - 609 found that poultry manure significantly increased climate, of large areas of the Central Kenya water retention at tensions between 0 and 33 kPa, but highlands.
Recommended publications
  • Effect of Soil Chiseling on Soil Structure and Root Growth for a Clayey Soil Under No-Tillage
    Geoderma 259–260 (2015) 149–155 Contents lists available at ScienceDirect Geoderma journal homepage: www.elsevier.com/locate/geoderma Effect of soil chiseling on soil structure and root growth for a clayey soil under no-tillage Márcio Renato Nunes a,⁎, José Eloir Denardin b, Eloy Antônio Pauletto c, Antônio Faganello b, Luiz Fernando Spinelli Pinto c a University of São Paulo, “Luiz de Queiroz” College of Agriculture, Avenida Pádua Dias, 11, CEP 13418-900 Piracicaba, São Paulo, Brazil b Embrapa Trigo, Rodovia BR 285, km. 294, P.O. Box 451, CEP 99001-970 Passo Fundo, Rio Grande do Sul, Brazil c Federal University of Pelotas, Department of Soil Science, Campus Universitário s/n, P.O. Box 354, 96010-900 Pelotas, Rio Grande do Sul, Brazil article info abstract Article history: Soil chiseling under no-tillage (NT) promotes root growth in depth. This practice, however, might affect soil ag- Received 11 November 2014 gregation. This study evaluated the chiseling effects on the aggregation of a Ferralic Nitisol (Rhodic), under NT, in Received in revised form 2 June 2015 humid subtropical climate region. The treatments carried out consisted of the time that soil was kept under NT Accepted 3 June 2015 after chiseling: continuous NT for 24 months after chiseling in September 2009; continuous NT for 18 months Available online xxxx after chiseling in March 2010; continuous NT for 12 months after chiseling in September 2010; continuous NT for 6 months after chiseling in March 2011; NT in newly chiseling soil in September 2011; continuous NT without Keywords: Soil physical attributes chiseling (control).
    [Show full text]
  • 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.
    [Show full text]
  • Seção V - Gênese, Morfologia E Classificação Do Solo
    EVALUATION OF MORPHOLOGICAL, PHYSICAL AND CHEMICAL CHARACTERISTICS... 573 SEÇÃO V - GÊNESE, MORFOLOGIA E CLASSIFICAÇÃO DO SOLO EVALUATION OF MORPHOLOGICAL, PHYSICAL AND CHEMICAL CHARACTERISTICS OF FERRALSOLS AND RELATED SOILS(1) E. KLAMT(2) & L. P. VAN REEUWIJK(3) SUMMARY Morphological, physical and chemical data of 58 soil profiles of Ferralsols and low activity clay Cambisols, Lixisols, Acrisols and Nitisols and of Alisols of the International Soil Reference and Information Centre (ISRIC) collection, described and sampled in eighteen different countries of tropical and subtropical regions, were selected to analyse their consistency and, or, variability and to search for properties to better describe and differentiate them. The soil profile descriptions were based on the guidelines of FAO and the FAO endorsed analytical methods of ISRIC. Frequence diagrams of the data show an asymmetric positively skewed and leptokurtic distribution for sand and silt fractions, specific surface, exchangeable bases and cation exchange capacity. Clustering soil colour hues, values and chromas rendered four distinct clusters, respectively of Rhodic, Rhodic/Xanthic (Haplic), Xanthic and Humic properties. The same technique applied to particle size distribution also originated four clusters, respectively of fine loamy, fine silty, clayey and fine clayey soils. Most of the soils analysed are acid, with low base saturation, except for Rhodic Nitisols and Rhodic Ferralsols, which present low exchangeable aluminium. Higher and variable values of this property are found in the other soil classes studied. Cation exchange capacity is also low and related to the kaolinitic and oxihydroxydic composition of the clay material. Regression analysis applied to cation exchange capacity resulted in low correlations with clay and silt content and higher with organic carbon and specific surface and clay content.
    [Show full text]
  • Soil Classification Based on Spectral and Environmental Variables
    https://doi.org/10.5194/soil-2019-77 Preprint. Discussion started: 20 November 2019 c Author(s) 2019. CC BY 4.0 License. Soil classification based on spectral and environmental variables Andre Carnieletto Dotto1, Jose A. M. Demattê1, Raphael Viscarra Rossel2, and Rodnei Rizzo1 1Department of Soil Science, College of Agriculture Luiz de Queiroz, University of São Paulo, Piracicaba, SP, 13418-900, Brazil 2School of Molecular and Life Sciences, Curtin University, Perth, WA, 6102, Australia Correspondence: Jose A. M. Demattê ([email protected]) Abstract. Given the large volume of soil data, it is now possible to obtain a soil classification using spectral, climate and terrain attributes. The idea was to develop a soil series system, which intends to discriminate soil types according to several variables. This new system was called Soil-Environmental Classification (SEC). The spectra data was applied to obtain information about the soil and climate and terrain variables to simulate the pedologist knowledge in soil-environment interactions. The most 5 appropriate numbers of classes were achieved by the lowest value of AIC applying the clusters analysis, which was defined with 8 classes. A relationship between the SEC and WRB-FAO classes was found. The SEC facilitated the identification of groups with similar characteristics using not only soil but environmental variables for the distinction of the classes. Finally, the conceptual characteristics of the 8 SEC were described. The development of SEC conducted to incorporate applicable soil data for agricultural management, with less interference of personal/subjective/empirical knowledge (such as traditional taxonomic 10 systems), and more reliable on automation measurements by sensors.
    [Show full text]
  • Annex: Soil Groups, Characteristics, Distribution and Ecosystem Services
    Status of the World’s Main Report Soil Resources Annex Soil groups, characteristics, distribution and ecosystem services © FAO | Giuseppe Bizzarri © FAO INTERGOVERNMENTAL TECHNICAL PANEL ON SOILS Disclaimer and copyright Recommended citation: FAO and ITPS. 2015. Status of the World’s Soil Resources (SWSR) – Main Report. Food and Agriculture Organization of the United Nations and Intergovernmental Technical Panel on Soils, Rome, Italy 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. ISBN 978-92-5-109004-6 © FAO, 2015 FAO encourages the use, reproduction and dissemination of material in this information product. Except where otherwise indicated, material may be copied, downloaded and printed for private study, research and teaching purposes, or for use in non-commercial products or services, provided that appropriate acknowledgement of FAO as the source and copyright holder is given and that FAO’s endorsement of users’ views, products or services is not implied in any way.
    [Show full text]
  • Classification of Soil Systems on the Basis of Transfer Factors of Radionuclides from Soil to Reference Plants
    IAEA-TECDOC-1497 Classification of soil systems on the basis of transfer factors of radionuclides from soil to reference plants Proceedings of a final research coordination meeting organized by the Joint FAO/IAEA Programme of Nuclear Techniques in Food and Agriculture and held in Chania, Crete, 22–26 September 2003 June 2006 IAEA-TECDOC-1497 Classification of soil systems on the basis of transfer factors of radionuclides from soil to reference plants Report of the final research coordination meeting organized by the Joint FAO/IAEA Programme of Nuclear Techniques in Food and Agriculture held in Chania, Crete, 22–26 September 2003 June 2006 The originating Section of this publication in the IAEA was: Food and Environmental Protection Section International Atomic Energy Agency Wagramer Strasse 5 P.O. Box 100 A-1400 Vienna, Austria CLASSIFICATION OF SOIL SYSTEMS ON THE BASIS OF TRANSFER FACTORS OF RADIONUCLIDES FROM SOIL TO REFERENCE PLANTS IAEA, VIENNA, 2006 IAEA-TECDOC-1497 ISBN 92–0–105906–X ISSN 1011–4289 © IAEA, 2006 Printed by the IAEA in Austria June 2006 FOREWORD The IAEA Basic Safety Standards for Radiation Protection include the general requirement to keep all doses as low as reasonably achievable, taking account of economic and social considerations, within the overall constraint of individual dose limits. National and Regional authorities have to set release limits for radioactive effluent and also to establish contingency plans to deal with an uncontrolled release following an accident or terrorist activity. It is normal practice to assess radiation doses to man by means of radiological assessment models. In this context the IAEA published (1994), in cooperation with the International Union of Radioecologists (IUR), a Handbook of Parameter Values for the Prediction of Radionuclide Transfer in Temperate Environments to facilitate such calculations.
    [Show full text]
  • Lecture Notes on the Major Soils of the World
    LECTURE NOTES ON THE GEOGRAPHY, FORMATION, PROPERTIES AND USE OF THE MAJOR SOILS OF THE WORLD P.M. Driessen & R. Dudal (Eds) in Q AGRICULTURAL KATHOLIEKE 1 UNIVERSITY UNIVERSITEIT ^.. WAGENINGEN LEUVEN \^ ivr^ - SI I 82 o ) LU- w*y*'tinge n ökSjuiOTHEEK ÎCANDBOUWUNWERSIIEI^ WAGENINGEN TABLE OF CONTENTS PREFACE INTRODUCTION The FAO-Unesco classificationo f soils 3 Diagnostichorizon s anddiagnosti cpropertie s 7 Key toMajo r SoilGrouping s 11 Correlation 14 SET 1. ORGANIC SOILS Major SoilGrouping :HISTOSOL S 19 SET 2. MINERAL SOILS CONDITIONED BYHUMA N INFLUENCES Major SoilGrouping :ANTHROSOL S 35 SET 3. MINERAL SOILS CONDITIONED BYTH E PARENT MATERIAL Major landforms involcani c regions 43 Major SoilGrouping :ANDOSOL S 47 Major landforms inregion swit h sands 55 Major SoilGrouping :ARENOSOL S 59 Major landforms insmectit eregion s 65 Major SoilGrouping :VERTISOL S 67 SET 4. MINERAL SOILS CONDITIONED BYTH E TOPOGRAPHY/PHYSIOGRAPHY Major landforms inalluvia l lowlands 83 Major SoilGroupings :FLUVISOL S 93 (with specialreferenc e toThioni c Soils) GLEYSOLS 105 Major landforms inerodin gupland s 111 Major SoilGroupings :LEPTOSOL S 115 REGOSOLS 119 SET 5. MINERAL SOILS CONDITIONED BYTHEI RLIMITE D AGE Major SoilGrouping : CAMBISOLS 125 SET 6. MINERAL SOILS CONDITIONED BYA WE T (SUB)TROPICAL CLIMATE Major landforrasi ntropica l regions 133 Major SoilGroupings :PLINTHOSOL S 139 FERRALSOLS 147 NITISOLS 157 ACRISOLS 161 ALISOLS 167 LIXISOLS 171 SET 7. MINERAL SOILS CONDITIONED BYA (SEMI-)AR-ID CLIMATE Major landforms inari d regions 177 Major SoilGroupings :SOLONCHAK S 181 SOLONETZ 191 GYPSISOLS 197 CALCISOLS 203 SET 8. MINERAL SOILS CONDITIONED BYA STEPPIC CLIMATE Major landforms instepp e regions 211 Major Soil Groupings:KASTANOZEM S 215 CHERNOZEMS 219 PHAEOZEMS 227 GREYZEMS 231 SET 9.
    [Show full text]
  • 330241 1 En Bookbackmatter 315..332
    Appendix A Ratings Tables for New Zealand Soil Properties See Tables A.1 and A.2. Table A.1 Ratings for soil chemical properties after L. C. Blakemore, P. L. Searle, and B. K. Daly 1987. Methods for chemical analysis of soils. NZ Soil Bureau Scientific Report 80. 103p. ISSN 03041735. Reproduced with permission of Manaaki Whenua – Landcare Research Rating Very high High Medium Low Very low A1: Ratings for soil pH, carbon, nitrogen, and phosphorus pH >9.0 7.1–7.5 6.0–6.5 4.5–5.2 <4.5 (1:2.5 soil: water) (extremely (slightly (slightly (strongly (extremely alkaline) alkaline) acid) acid) acid) 8.4–9.0 6.6–7.0 (near 5.3–5.9 (strongly neutral) (moderately alkaline) acid) 7.6–8.3 (moderately alkaline) Organic matter Organic carbon (%) >20 10–20 4–10 2–4<2 Total nitrogen (%) >1.0 0.6–1.0 0.3–0.6 0.1–0.3 <0.1 C/N >24 16–24 12–16 10–12 <10 Phosphorus Truog (lg/g) >50 30–50 20–30 10–20 <10 Olsen (lg/g) >50 30–50 20–30 10–20 <10 (+) −1 0.5M H2SO4 (cmol kg ) >40 20–40 10–20 5–10 <5 Inorganic (cmol(+) kg−1) >50 30–50 20–30 10–20 <10 Organic (cmol(+) kg−1) >70 50–70 20–50 10–20 <10 Total (cmol(+) kg−1) >120 80–120 40–80 20–40 <20 P retention (%) 90–100 60–90 30–60 10–30 0–10 A2: Ratings for cation exchange related properties Cation exchange CEC (cmol(+) kg−1) >40 25–40 12–25 6–12 <6 (+) −1 properties (NH4OAc, R Bases (cmol kg ) >25 15–25 7–15 3–7<3 pH7) BS (%) 80–100 60–80 40–60 20–40 <20 Ca (cmol(+) kg−1) >20 10–20 5–10 2–5<2 Mg (cmol(+) kg−1)>73–71–3 0.5–1 <0.5 K (cmol(+) kg−1) >1.2 0.8–1.2 0.5–0.8 0.3–0.5 <0.3 Na (cmol(+) kg−1) >2 0.7–2 0.3–0.7 0.1–0.3 <0.1 KCl—extract >5 2–5 0.5–2.0 0.1–0.5 <0.1 Al (cmol(+) kg−1) Exchange Acidity (pH 8.2) (cmol(+) kg−1) >60 30–60 15–30 5–15 <5 Reserve Kc >0.5 0.35–0.5 0.20–0.35 0.10–0.20 <0.10 Mgr >30 15–30 7–15 3–7<3 (continued) © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 315 A.
    [Show full text]
  • Mineralogical and Physicochemical Properties of Nitisols in the Ethiopian Highlands
    Ethiop. J. Agric. Sci. 30(4) 97-119 (2020) Mineralogical and Physicochemical Properties of Nitisols In The Ethiopian Highlands Eyasu Elias1,2 and Getachew Agegnehu3 1College of Natural and Computational Sciences, Centre for Environmental Science, Addis Ababa University, Ethiopia; E-mail: [email protected]; 2CASCAPE Program Manager, Bilateral Ethiopia-Netherlands, Partnership for Food Income and Trade (BENEFIT); E-mail: [email protected]; 3 Getachew Agegnehu, Ethiopian Institute of Agricultural Research; Addis Ababa, Ethiopia, Email: [email protected] አህፅሮት ኒቲሶልስ (Nitisols) በአብዛኛዉ ቀይ ወይም ቀይ-ቡናማ ቀለም ያላቸዉ የአፈር ዓይነቶች ሲሆኑ በኢትዮጵያ ከፍተኛ አካባቢዎች በተለይም በደቡብ ምዕራብ ኢትዮጵያ ሰፊ የእርሻ መሬት ይሸፍናሉ፡፡ ይህ የአሰሳ ጥናት በ250 ሜትር ጥራት (ሪዞልዩሺን) የተወሰኑ የኒቲሶልስ ገፀ አምደ አፈሮችን በማዘጋጀት የሥነ ቅርፀ-አፈር (ሞርፎሎጂካል)፣ ፊዚካዊና ኬሚካዊ ባህሪያትን እንደዚሁም የንጥረነገር ይዘት ያጠቃልላል፡፡ ይህ በ46 የኒቲሶል ገፀ አምደ አፈሮች ላይ የተካሄደ ጥናት የአፈር ልኬተ አሲድጨው፣ የአፈር ዘአካል ካርቦን፣ ዓቢይና ንዑስ ንጥረምግቦች፣ የማዕድንና ጠቅላለ የንጥረነገሮችን ይዘት ምርመራና ትንተና የያዘ ነዉ፡፡ የዚህ ጥናት ዉጤት እንደሚያሳየዉ በኢትዮጵያ ከፍተኛ አካባቢ የሚገኘዉ የኒቲሶል መሰረታዊ የሥነ አፈር ባህርይ ይለያል፡፡ የዚህ አፈር ልኬተ አሲድጨው በ4.8 እና በ6.7 መካከል ሲሆን በጠንከራ እና አነስተኛ የአሲዳማነት ደረጃ ይመደባል፡፡ የዚህ አፈር የካርቦን፣ የናይተሮጅንና የድኝ (ሰልፈር) ይዘት በጣም ዝቅተኛ ሲሆን መጠናቸዉም በቅደም ተከተል 2.05፣ 0.18 እና 0.94 ሚ.ግ. በኪ.ግ. መሆኑን ያሳያል፡፡ ሆኖም በአፈር ዉስጥ የሚገኙ የፎስፎረስ (ከ2.40 እስከ 26.40 ሚ.ግ. በኪ.ግ) እና የፖታሲየም (ከ0.07 እስከ 2.77 ሴንቲሞል በከ.ግ) መጠን ሰፊ የሆነ ልዩነት የታየባቸዉ ሲሆን ይህም በአፈር-ሰር ቁሶችና በመሬት አጠቃቀም ልዩነት ምክንያት የተፈጠረ ሊሆን ይችላል፡፡ የንዑስ ንጥረምግቦችን በተመለከተ ደግሞ ይህ አፈር በብረት (Fe)፣ ማንጋኒዝ (Mn) እና ነሀስ (Zn) ንጥረ ነገሮች መጠን በጣም ከፍተኛ ሲሆን በመዳብ (Cu) እና በቦሮን (B) ይዘት ግን በጣም ዝቅተኛ ነዉ፡፡ በአንጻሩ ግን ይህ የአፈር ዓይነት በመጠነ
    [Show full text]
  • Soil Environment Grouping System Based on Spectral, Climate, and Terrain Data: a Quantitative Branch of Soil Series
    SOIL, 6, 163–177, 2020 https://doi.org/10.5194/soil-6-163-2020 © Author(s) 2020. This work is distributed under SOIL the Creative Commons Attribution 4.0 License. Soil environment grouping system based on spectral, climate, and terrain data: a quantitative branch of soil series Andre Carnieletto Dotto1, Jose A. M. Demattê1, Raphael A. Viscarra Rossel2, and Rodnei Rizzo1 1Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP, 13418-900, Brazil 2School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia Correspondence: Jose A. M. Demattê ([email protected]) Received: 2 October 2019 – Discussion started: 20 November 2019 Revised: 14 February 2020 – Accepted: 6 April 2020 – Published: 12 May 2020 Abstract. Soil classification has traditionally been developed by combining the interpretation of taxonomic rules that are related to soil information with the pedologist’s tacit knowledge. Hence, a more quantitative ap- proach is necessary to characterize soils with less subjectivity. The objective of this study was to develop a soil grouping system based on spectral, climate, and terrain variables with the aim of establishing a quantita- tive way of classifying soils. Spectral data were utilized to obtain information about the soil, and this infor- mation was complemented by climate and terrain variables in order to simulate the pedologist knowledge of soil–environment interactions. We used a data set of 2287 soil profiles from five Brazilian regions. The soil classes of World Reference Base (WRB) system were predicted using the three above-mentioned variables, and the results showed that they were able to correctly classify the soils with an overall accuracy of 88 %.
    [Show full text]
  • Water Retention and Availability in Soils of the State of Santa Catarina-Brazil: Effect of Textural Classes, Soil Classes and Lithology(1)
    WATER RETENTION AND AVAILABILITY IN SOILS OF THE STATE OF SANTA CATARINA-... 1535 WATER RETENTION AND AVAILABILITY IN SOILS OF THE STATE OF SANTA CATARINA-BRAZIL: EFFECT OF TEXTURAL CLASSES, SOIL CLASSES AND LITHOLOGY(1) André da Costa(2), Jackson Adriano Albuquerque(3), Adriano da Costa(4), Patricia Pértile(5) & Franciani Rodrigues da Silva(6) SUMMARY The retention and availability of water in the soil vary according to the soil characteristics and determine plant growth. Thus, the aim of this study was to evaluate water retention and availability in the soils of the State of Santa Catarina, Brazil, according to the textural class, soil class and lithology. The surface and subsurface horizons of 44 profiles were sampled in different regions of the State and different cover crops to determine field capacity, permanent wilting point, available water content, particle size, and organic matter content. Water retention and availability between the horizons were compared in a mixed model, considering the textural classes, the soil classes and lithology as fixed factors and profiles as random factors. It may be concluded that water retention is greater in silty or clayey soils and that the organic matter content is higher, especially in Humic Cambisols, Nitisols and Ferralsol developed from igneous or sedimentary rocks. Water availability is greater in loam-textured soils, with high organic matter content, especially in soils of humic character. It is lower in the sandy texture class, especially in Arenosols formed from recent alluvial deposits or in gravelly soils derived from granite. The greater water availability in the surface horizons, with more organic matter than in the subsurface layers, illustrates the importance of organic matter for water retention and availability.
    [Show full text]
  • Sustainable Forestry and Iron Compounds in Karstic Soils: Qualitative and Semi-Quantitative Results Focused on the Occurrence of Fe-Compounds on Mineral Particles
    JOURNAL OF FOREST SCIENCE, 58, 2012 (9): 410–424 Sustainable forestry and iron compounds in karstic soils: qualitative and semi-quantitative results focused on the occurrence of Fe-compounds on mineral particles K. Rejšek1, M. Mišič2, F. Eichler3 1Department of Geology and Pedology, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech Republic 2Geological Survey of Slovenia, Ljubljana, Slovenia 3Liberec-Františkov, Czech Republic ABSTRACT: Relic karstic soils in nine localities in the Dinaric Karst in Slovenia, five localities in the Moravian Karst and four localities in the Bohemian Karst were sampled for soil scientific, mineralogical and petrological studies focused on the presentation of descriptive aspects of particular iron compounds. The macroscopy and microscopy of Fe2+ and Fe3+ compounds were determined and an interpretation of these data was performed aimed at describing sources and their palaeotransports. The presented results show that the studied karstic soils have a heterogeneous petrographical and mineralogical composition when, depending on circumstances, hematite does not dominate and goethite prevails over it or it is an opposite. Results from the chosen methods reinforce sources of the new materials as the crucial factor for the studied karstic soils. Keywords: iron oxides; iron hydroxides; karstic soils; soil formation in karsts Sustainable development of inhabited karstic ar- from the bottoms of palaeocaves. Consequently, eas is directly linked to the knowledge of particu- the question what such soils have in common, if lar, karst, phenomena where a keen focus on the anything at all, becomes unavoidable. The behav- conservation of soil ought to be stressed. Preserva- iour of iron compounds is surely one of the charac- tion of the soil mantle plays a crucial role for the teristics of the terra rossa, which have been formed maintenance of the living standard existing in the in the karstic environment.
    [Show full text]