Mapping the Storing and Filtering Capacity of European Soils
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Depolymerization and Mineralization – Investigating N Availability by a Novel N Tracing Model
SOIL Discuss., doi:10.5194/soil-2016-11, 2016 Manuscript under review for journal SOIL Published: 3 March 2016 c Author(s) 2016. CC-BY 3.0 License. Depolymerization and mineralization – investigating N availability by a novel 15N tracing model Louise C. Andresen1, Anna-Karin Björsne1, Samuel Bodé2, Leif Klemedtsson1, Pascal Boeckx2 and Tobias Rütting1 5 1Department of Earth Sciences, University of Gothenburg, Gothenburg, 405 30, Sweden 2Isotope Bioscience Laboratory, ISOFYS, Ghent University, Ghent, 9000, Belgium Correspondence to: Louise C. Andresen ([email protected]) Abstract. Depolymerization of soil organic matter such as proteins and peptides into monomers (e.g. amino acids) is currently thought to be the rate limiting step for N availability in terrestrial N cycles. The mineralization of free amino acids 10 (FAA), liberated by depolymerization of peptides, is an important fraction of the total N mineralization. Accurate assessment of peptide depolymerization and FAA mineralization rates is important in order to gain a better understanding of the N cycle dynamics. Due to the short time span, soil disturbance and unnatural high FAA content during the first few hours after the labelling with the traditional 15N pool dilution experiments, analytical models might overestimate peptide depolymerization rate. In this paper, we present an extended numerical 15N tracing model Ntrace which incorporates the FAA pool and related 15 N processes in order to 1) provide a more robust and coherent estimation of production and mineralization rates of FAAs; 2) and 2) suggest an amino acid N use efficiency (NUEFAA) for soil microbes, which is a more realistic estimation of soil microbial NUE compared to the NUE estimated by analytical methods. -
User Guide: Soil Parent Material 1 Kilometre Dataset
CORE Metadata, citation and similar papers at core.ac.uk Provided by NERC Open Research Archive User Guide: Soil Parent Material 1 kilometre dataset. Environmental Modelling Internal Report OR/14/025 BRITISH GEOLOGICAL SURVEY ENVIRONMENTAL Modelling INTERNAL REPORT OR/14/025 User Guide: Soil Parent Material 1 kilometre dataset. The National Grid and other Ordnance Survey data © Crown Copyright and database rights 2012. Ordnance Survey Licence R. Lawley. No. 100021290. Keywords Contributor/editor Parent Material, Soil,UKSO. B. Rawlins. National Grid Reference SW corner 999999,999999 Centre point 999999,999999 NE corner 999999,999999 Map Sheet 999, 1:99 000 scale, Map name Front cover Soil Parent Material 1km dataset. Bibliographical reference LAWLEY., R. USER GUIDE: SOIL PARENT Material 1 Kilometre dataset. 2012. User Guide: Soil Parent Material 1km dataset.. British Geological Survey Internal Report, OR/14/025. 20pp. Copyright in materials derived from the British Geological Survey’s work is owned by the Natural Environment Research Council (NERC) and/or the authority that commissioned the work. You may not copy or adapt this publication without first obtaining permission. Contact the BGS Intellectual Property Rights Section, British Geological Survey, Keyworth, email [email protected]. You may quote extracts of a reasonable length without prior permission, provided a full acknowledgement is given of the source of the extract. Maps and diagrams in this book use topography based on Ordnance Survey mapping. © NERC 2014. All rights reserved Keyworth, Nottingham British Geological Survey 2012 BRITISH GEOLOGICAL SURVEY The full range of our publications is available from BGS shops at British Geological Survey offices Nottingham, Edinburgh, London and Cardiff (Welsh publications only) see contact details below or shop online at www.geologyshop.com BGS Central Enquiries Desk Tel 0115 936 3143 Fax 0115 936 3276 The London Information Office also maintains a reference collection of BGS publications, including maps, for consultation. -
(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. -
Development Direction of the Soil-Formation Processes for Reclaimed Soda Solonetz-Solonchak Soils of the Ararat Valley During Their Cultivation
Annals of Agrarian Science 16 (2018) 69e74 Contents lists available at ScienceDirect Annals of Agrarian Science journal homepage: http://www.journals.elsevier.com/annals-of-agrarian- science Development direction of the soil-formation processes for reclaimed soda solonetz-solonchak soils of the Ararat valley during their cultivation R.R. Manukyan National Agrarian University of Armenia, 74, Teryan Str., Yerevan, 0009, Armenia article info abstract Article history: The data of the article show that the long-term cultivation of reclaimed sodium solonetz-solonchak soils Received 29 May 2017 entails to further improvement of their properties and in many parameters of chemical compositions of Accepted 19 August 2017 soil solution and soil-absorbing complex they come closer to irrigated meadow-brown soils in the period Available online 6 February 2018 of 15e20 years of agricultural development. The analysis of the experimental research by the method of non-linear regression shows, that for the enhancement of some yield determining parameters to the Keywords: level of irrigated meadow-brown soils, a time period of 30e40 years of soil-formation processes is Soil-formation processes needed and longer time is necessary for humidification. The forecast of soil-formation processes for the Reclaimed soda solonetz-solonchaks fi Irrigated meadow-brown soils long-term period, allows to reveal the intensity and orientation of development of the speci ed pro- fi fi Multi-year cultivation cesses and to develop the scienti cally-justi ed actions for their further improvement. Improvement © 2018 Agricultural University of Georgia. Production and hosting by Elsevier B.V. This is an open access Forecasting article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). -
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. -
The Use of Proximal Soil Sensor Data Fusion and Digital Soil Mapping For
The use of proximal soil sensor data fusion and digital soil mapping for precision agriculture Wenjun Ji, Viacheslav Adamchuk, Songchao Chen, Asim Biswas, Maxime Leclerc, Raphael Viscarra Rossel To cite this version: Wenjun Ji, Viacheslav Adamchuk, Songchao Chen, Asim Biswas, Maxime Leclerc, et al.. The use of proximal soil sensor data fusion and digital soil mapping for precision agriculture. Pedometrics 2017, Jun 2017, Wageningen, Netherlands. 298 p. hal-01601278 HAL Id: hal-01601278 https://hal.archives-ouvertes.fr/hal-01601278 Submitted on 2 Jun 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - ShareAlike| 4.0 International License Abstract Book Pedometrics 2017 Wageningen, 26 June – 1 July 2017 2 Contents Evaluating Use of Ground Penetrating Radar and Geostatistic Methods for Mapping Soil Cemented Horizon .................................... 13 Digital soil mapping in areas of mussunungas: algoritmos comparission .......... 14 Sensing of farm and district-scale soil moisture content using a mobile cosmic ray probe (COSMOS Rover) .................................... 15 Proximal sensing of soil crack networks using three-dimensional electrical resistivity to- mography ......................................... 16 Using digital microscopy for rapid determination of soil texture and prediction of soil organic matter ..................................... -
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 -
Generalized Pan-European Geological Database for Shallow Geothermal Installations
geosciences Article Generalized Pan-European Geological Database for Shallow Geothermal Installations Johannes Müller 1, Antonio Galgaro 2, Giorgia Dalla Santa 2, Matteo Cultrera 2, Constantine Karytsas 3, Dimitrios Mendrinos 3, Sebastian Pera 4, Rodolfo Perego 4, Nick O’Neill 5, Riccardo Pasquali 5, Jacques Vercruysse 6, Leonardo Rossi 7, Adriana Bernardi 8 and David Bertermann 1,* ID 1 GeoZentrum Nordbayern, Friedrich-Alexander-University Erlangen-Nuremberg, Schlossgarten 5, 91054 Erlangen, Germany; [email protected] 2 Department of Geosciences, Universita degli Studi di Padova, Via Gradenigo 635131 Padova, Italy; [email protected] (A.G.); [email protected] (G.D.S.); [email protected] (M.C.) 3 Centre for Renewable Energy Sources and Saving, 19th km Marathonos Ave, 19009 Pikermi Attiki, Greece; [email protected] (C.K.); [email protected] (D.M.) 4 SUPSI, Stabile Le Gerre, Manno 6928, Switzerland; [email protected] (S.P.); [email protected] (R.P.) 5 SLR Environmental Consulting (Ireland) Limited (SLR), 7 Dundrum Business Park, Windy Arbour 14, D14 N2Y7 Dublin, Ireland; [email protected] (N.O.N.); [email protected] (R.P.) 6 GEO-GREEN sprl, Rue de Priesmont 63, 1495 Marbais, Belgium; [email protected] 7 Pietre Edil, Strada Slănic nr.2, 030242 Bucures, ti, Romania; [email protected] 8 CNR-ISAC, Corso Stati Uniti 435127 Padova, Italy; [email protected] * Correspondence: [email protected]; Tel.: +49-9131-85-25824 Received: 18 December 2017; Accepted: 17 January 2018; Published: 22 January 2018 Abstract: The relatively high installation costs for different types of shallow geothermal energy systems are obstacles that have lowered the impact of geothermal solutions in the renewable energy market. -
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.