The Use of Proximal Soil Sensor Data Fusion and Digital Soil Mapping For
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Digital Mapping of Soil Properties in the Western-Facing Slope of Jabal
JJEES (2020) 11 (3): 193-201 JJEES ISSN 1995-6681 Jordan Journal of Earth and Environmental Sciences Digital Mapping of Soil Properties in the Western-Facing Slope of Jabal Al-Arab at Suwaydaa Governorate, Syria Alaa Khallouf 1,4, Sami AlHinawi2, Wassim AlMesber3, Sameer Shamsham4,Younis Idries5 1General Commission for Scientific Agricultural Research (GCSAR), Damascus, Syria 2Suwayda Research Center- GCSAR, Suwayda, Syria 3Damascus University, Faculty of Agriculture, Department of Soil Science, Syria 4Al-Baath University, Faculty of Agriculture, Department of Soil and Land reclamation, Syria 5General Organization of Remote Sensing (GORS), Syria Received 28 December 2019; Accepted 10 April 2020 Abstract Digital soil mapping has been increasingly used to produce statistical models of the relationships between environmental variables and soil properties. This study aimed at determining and representing the spatial distribution of the variability in soil properties of western face-sloping of Jabal Al-Arab, Suwaydaa governorate. pH, organic matter (OM), total nitrogen (N), phosphorus (P, as P2O5), potassium (K, as K2O), iron (Fe), boron (B) and zinc (Zn) were studied, thus, Forty-five surface soil samples (0 to 30 cm) were collected and analyzed. Descriptive statistics demonstrated that most of the measured soil variables (except pH, P2O5, and Zn) were skewed and ab-normally distributed, and logarithmic transformation was then applied. Kriging was used- as geostatistical tool- in ArcGIS to interpolate observed values for those variables, and the digital map layers were produced based on each soil property. Geostatistical interpolation recognized a strong spatial variability for pH, P2O5 & Zn, moderate for OM, N, Fe & B, and weak for K2O. -
Digital Soil Mapping in the Bara District of Nepal Using Kriging Tool in Arcgis
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Agronomy & Horticulture -- Faculty Publications Agronomy and Horticulture Department 10-26-2018 Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS Dinesh Panday University of Nebraska-Lincoln, [email protected] Bijesh Maharjan University of Nebraska-Lincoln, [email protected] Devraj Chalise Nepal Agricultural Research Council Ram Kumar Shrestha Institute of Agriculture and Animal Science, Lamjung, Nepal Bikesh Twanabasu Westfalische Wilhelms Universitat, Munster Follow this and additional works at: https://digitalcommons.unl.edu/agronomyfacpub Part of the Agricultural Science Commons, Agriculture Commons, Agronomy and Crop Sciences Commons, Botany Commons, Horticulture Commons, Other Plant Sciences Commons, and the Plant Biology Commons Panday, Dinesh; Maharjan, Bijesh; Chalise, Devraj; Shrestha, Ram Kumar; and Twanabasu, Bikesh, "Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS" (2018). Agronomy & Horticulture -- Faculty Publications. 1130. https://digitalcommons.unl.edu/agronomyfacpub/1130 This Article is brought to you for free and open access by the Agronomy and Horticulture Department at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Agronomy & Horticulture -- Faculty Publications by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. RESEARCH ARTICLE Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS 1 1 2 3 Dinesh PandayID *, Bijesh Maharjan , Devraj Chalise , Ram Kumar Shrestha , Bikesh Twanabasu4,5 1 Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America, 2 Nepal Agricultural Research Council, Lalitpur, Nepal, 3 Institute of Agriculture and Animal Science, Lamjung Campus, Lamjung, Nepal, 4 Hexa International Pvt. -
Agricultural Soil Compaction: Causes and Management
October 2010 Agdex 510-1 Agricultural Soil Compaction: Causes and Management oil compaction can be a serious and unnecessary soil aggregates, which has a negative affect on soil S form of soil degradation that can result in increased aggregate structure. soil erosion and decreased crop production. Soil compaction can have a number of negative effects on Compaction of soil is the compression of soil particles into soil quality and crop production including the following: a smaller volume, which reduces the size of pore space available for air and water. Most soils are composed of • causes soil pore spaces to become smaller about 50 per cent solids (sand, silt, clay and organic • reduces water infiltration rate into soil matter) and about 50 per cent pore spaces. • decreases the rate that water will penetrate into the soil root zone and subsoil • increases the potential for surface Compaction concerns water ponding, water runoff, surface soil waterlogging and soil erosion Soil compaction can impair water Soil compaction infiltration into soil, crop emergence, • reduces the ability of a soil to hold root penetration and crop nutrient and can be a serious water and air, which are necessary for water uptake, all of which result in form of soil plant root growth and function depressed crop yield. • reduces crop emergence as a result of soil crusting Human-induced compaction of degradation. • impedes root growth and limits the agricultural soil can be the result of using volume of soil explored by roots tillage equipment during soil cultivation or result from the heavy weight of field equipment. • limits soil exploration by roots and Compacted soils can also be the result of natural soil- decreases the ability of crops to take up nutrients and forming processes. -
Biomechanical and Biochemical Effects Recorded in the Tree Root Zone – Soil Memory, Historical Contingency and Soil Evolution Under Trees
Plant Soil (2018) 426:109–134 https://doi.org/10.1007/s11104-018-3622-9 REGULAR ARTICLE Biomechanical and biochemical effects recorded in the tree root zone – soil memory, historical contingency and soil evolution under trees Łukasz Pawlik & Pavel Šamonil Received: 17 September 2017 /Accepted: 1 March 2018 /Published online: 15 March 2018 # The Author(s) 2018 Abstract increase in soil spatial complexity. We hypothesized that Background and aims The changing soils is a never- trees can be a strong local factor intensifying, blocking ending process moderated by numerous biotic and abi- or modifying pedogenetic processes, leading to local otic factors. Among these factors, trees may play a changes in soil complexity (convergence, divergence, critical role in forested landscapes by having a large or polygenesis). These changes are hypothetically con- imprint on soil texture and chemical properties. During trolled by regionally predominating soil formation their evolution, soils can follow convergent or divergent processes. development pathways, leading to a decrease or an Methods To test the main hypothesis, we described the pedomorphological features of soils under tree stumps of fir, beech and hemlock in three soil regions: Haplic Highlights Cambisols (Turbacz Reserve, Poland), Entic Podzols 1) The architecture of tree root systems controls soil physical and (Žofínský Prales Reserve, Czech Republic) and Albic chemical properties. Podzols (Upper Peninsula, Michigan, USA). Soil pro- 2) The predominating pedogenetic process significantly modifies files under the stumps, as well as control profiles on sites the effect of trees on soil. 3) Trees are a factor in polygenesis in Haplic Cambisols at the currently not occupied by trees, were analyzed in the pedon scale. -
Biological Soil Crust Community Types Differ in Key Ecological Functions
UC Riverside UC Riverside Previously Published Works Title Biological soil crust community types differ in key ecological functions Permalink https://escholarship.org/uc/item/2cs0f55w Authors Pietrasiak, Nicole David Lam Jeffrey R. Johansen et al. Publication Date 2013-10-01 DOI 10.1016/j.soilbio.2013.05.011 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Soil Biology & Biochemistry 65 (2013) 168e171 Contents lists available at SciVerse ScienceDirect Soil Biology & Biochemistry journal homepage: www.elsevier.com/locate/soilbio Short communication Biological soil crust community types differ in key ecological functions Nicole Pietrasiak a,*, John U. Regus b, Jeffrey R. Johansen c,e, David Lam a, Joel L. Sachs b, Louis S. Santiago d a University of California, Riverside, Soil and Water Sciences Program, Department of Environmental Sciences, 2258 Geology Building, Riverside, CA 92521, USA b University of California, Riverside, Department of Biology, University of California, Riverside, CA 92521, USA c Biology Department, John Carroll University, 1 John Carroll Blvd., University Heights, OH 44118, USA d University of California, Riverside, Botany & Plant Sciences Department, 3113 Bachelor Hall, Riverside, CA 92521, USA e Department of Botany, Faculty of Science, University of South Bohemia, Branisovska 31, 370 05 Ceske Budejovice, Czech Republic article info abstract Article history: Soil stability, nitrogen and carbon fixation were assessed for eight biological soil crust community types Received 22 February 2013 within a Mojave Desert wilderness site. Cyanolichen crust outperformed all other crusts in multi- Received in revised form functionality whereas incipient crust had the poorest performance. A finely divided classification of 17 May 2013 biological soil crust communities improves estimation of ecosystem function and strengthens the Accepted 18 May 2013 accuracy of landscape-scale assessments. -
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. -
Good Practices for the Preparation of Digital Soil Maps
UNIVERSIDAD DE COSTA RICA CENTRO DE INVESTIGACIONES AGRONÓMICAS FACULTAD DE CIENCIAS AGROALIMENTARIAS GOOD PRACTICES FOR THE PREPARATION OF DIGITAL SOIL MAPS Resilience and comprehensive risk management in agriculture Inter-american Institute for Cooperation on Agriculture University of Costa Rica Agricultural Research Center UNIVERSIDAD DE COSTA RICA CENTRO DE INVESTIGACIONES AGRONÓMICAS FACULTAD DE CIENCIAS AGROALIMENTARIAS GOOD PRACTICES FOR THE PREPARATION OF DIGITAL SOIL MAPS Resilience and comprehensive risk management in agriculture Inter-american Institute for Cooperation on Agriculture University of Costa Rica Agricultural Research Center GOOD PRACTICES FOR THE PREPARATION OF DIGITAL SOIL MAPS Inter-American institute for Cooperation on Agriculture (IICA), 2016 Good practices for the preparation of digital soil maps by IICA is licensed under a Creative Commons Attribution-ShareAlike 3.0 IGO (CC-BY-SA 3.0 IGO) (http://creativecommons.org/licenses/by-sa/3.0/igo/) Based on a work at www.iica.int IICA encourages the fair use of this document. Proper citation is requested. This publication is also available in electronic (PDF) format from the Institute’s Web site: http://www.iica. int Content Editorial coordination: Rafael Mata Chinchilla, Dangelo Sandoval Chacón, Jonathan Castro Chinchilla, Foreword .................................................... 5 Christian Solís Salazar Editing in Spanish: Máximo Araya Acronyms .................................................... 6 Layout: Sergio Orellana Caballero Introduction .................................................. 7 Translation into English: Christina Feenny Cover design: Sergio Orellana Caballero Good practices for the preparation of digital soil maps................. 9 Printing: Sergio Orellana Caballero Glossary .................................................... 15 Bibliography ................................................. 18 Good practices for the preparation of digital soil maps / IICA, CIA – San Jose, C.R.: IICA, 2016 00 p.; 00 cm X 00 cm ISBN: 978-92-9248-652-5 1. -
Anatomy of a Sub-Cambrian Paleosol in Wisconsin
Anatomy of a Sub-Cambrian Paleosol in Wisconsin: Mass Fluxes of Chemical Weathering and Climatic Conditions in North America during Formation of the Cambrian Great Unconformity L. Gordon Medaris Jr.,1,* Steven G. Driese,2 Gary E. Stinchcomb,3 John H. Fournelle,1 Seungyeol Lee,1,4 Huifang Xu,1,4 Lyndsay DiPietro,2 Phillip Gopon,5 and Esther K. Stewart6 1. Department of Geoscience, University of Wisconsin, Madison, Wisconsin 53706, USA; 2. Department of Geosciences, Terrestrial Paleoclimatology Research Group, Baylor University, Waco, Texas 76798, USA; 3. Department of Geosciences and Watershed Studies Institute, Murray State University, Murray, Kentucky 42071, USA; 4. NASA Astrobiology Institute, University of Wisconsin, Madison, Wisconsin 53706, USA; 5. Department of Earth Sciences, University of Oxford, South Parks Road, Oxford OX1 3AN, United Kingdom; 6. Wisconsin Geological and Natural History Survey, Madison, Wisconsin 53705, USA ABSTRACT A paleosol beneath the Upper Cambrian Mount Simon Sandstone in Wisconsin provides an opportunity to evaluate the characteristics of Cambrian weathering in a subtropical climate, having been located at 207S paleolatitude 500 My ago. The 285-cm-thick paleosol resulted from advanced chemical weathering of a gabbroic protolith, recording a total mass loss of 50%. Weathering of hornblende and plagioclase produced a pedogenic assemblage of quartz, chlorite, kaolinite, goethite, and, in the lowest part of the profile, siderite. Despite the paucity of quartz in the protolith and 40% removal of SiO2 from the profile, quartz constitutes 11%–23% of the pedogenic mineral assemblage. Like many other Precambrian and Cambrian paleosols in the Lake Superior region, the paleosol experienced potassium metasomatism, now con- taining 10%–25% mixed-layer illite-vermiculite and 5%–44% potassium feldspar. -
A New Era of Digital Soil Mapping Across Forested Landscapes 14 Chuck Bulmera,*, David Pare´ B, Grant M
CHAPTER A new era of digital soil mapping across forested landscapes 14 Chuck Bulmera,*, David Pare´ b, Grant M. Domkec aBC Ministry Forests Lands Natural Resource Operations Rural Development, Vernon, BC, Canada, bNatural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, QC, Canada, cNorthern Research Station, USDA Forest Service, St. Paul, MN, United States *Corresponding author ABSTRACT Soil maps provide essential information for forest management, and a recent transformation of the map making process through digital soil mapping (DSM) is providing much improved soil information compared to what was available through traditional mapping methods. The improvements include higher resolution soil data for greater mapping extents, and incorporating a wide range of environmental factors to predict soil classes and attributes, along with a better understanding of mapping uncertainties. In this chapter, we provide a brief introduction to the concepts and methods underlying the digital soil map, outline the current state of DSM as it relates to forestry and global change, and provide some examples of how DSM can be applied to evaluate soil changes in response to multiple stressors. Throughout the chapter, we highlight the immense potential of DSM, but also describe some of the challenges that need to be overcome to truly realize this potential. Those challenges include finding ways to provide additional field data to train models and validate results, developing a group of highly skilled people with combined abilities in computational science and pedology, as well as the ongoing need to encourage communi- cation between the DSM community, land managers and decision makers whose work we believe can benefit from the new information provided by DSM. -
Soil Crusts Structural Soil Crusts Are Relatively Thin, Dense, Somewhat Continuous Layers of Non-Aggregated Soil Particles on the Surface of Tilled and Exposed Soils
Indicator Test Function USDA Natural Resources Conservation Service P F W Soil Quality Indicators Soil Crusts Structural soil crusts are relatively thin, dense, somewhat continuous layers of non-aggregated soil particles on the surface of tilled and exposed soils. Structural crusts develop when a sealed-over soil surface dries out after rainfall or irrigation. Water droplets striking soil aggregates and water flowing across soil breaks aggregates into individual soil particles. Fine soil particles wash, settle into and block surface pores causing the soil surface to seal over and preventing water from soaking into the soil. As the muddy soil surface dries out, it crusts over. Left: Note the surface crust on this soil. The field was in tall fescue sod for 11 years. It was cleared and plowed using conventional Structural crusts range from a few tenths to as thick as two tillage methods. Photo courtesy Bobby Brock, USDA NRCS (retired). Right: Collected from a no-till field in Georgia’s Southern inches. A surface crust is much more compact, hard and Piedmont, good structure and aggregation are evident in the soil on brittle when dry than the soil immediately beneath it, the right. The same soil formed a structural crust under which may be loose and friable. Crusts can be described by conventional tillage. Note the sunlight reflectance of the crusted their strength, or air-dry rupture resistance. soil. Photo courtesy James E. Dean, USDA NRCS (retired). Soil crusting is also associated with biological and Dynamic - Management activities that deplete soil chemical factors. A biological crust is a living community organic matter and leave soil bare, smooth and exposed to of lichen, cyanobacteria, algae, and moss growing on the the direct impact of water droplets increase soil dispersion, soil surface that bind the soil together. -
Evaluation of Digital Soil Mapping Approaches with Large Sets of Environmental Covariates
SOIL, 4, 1–22, 2018 https://doi.org/10.5194/soil-4-1-2018 © Author(s) 2018. This work is distributed under SOIL the Creative Commons Attribution 3.0 License. Evaluation of digital soil mapping approaches with large sets of environmental covariates Madlene Nussbaum1, Kay Spiess1, Andri Baltensweiler2, Urs Grob3, Armin Keller3, Lucie Greiner3, Michael E. Schaepman4, and Andreas Papritz1 1Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Universitätstrasse 16, 8092 Zürich, Switzerland 2Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zürcherstrasse 111, 8903 Birmensdorf, Switzerland 3Research Station Agroscope Reckenholz-Taenikon ART, Reckenholzstrasse 191, 8046 Zürich, Switzerland 4Remote Sensing Laboratories, University of Zurich, Wintherthurerstrasse 190, 8057 Zürich, Switzerland Correspondence: Madlene Nussbaum ([email protected]) Received: 19 April 2017 – Discussion started: 9 May 2017 Revised: 11 October 2017 – Accepted: 24 November 2017 – Published: 10 January 2018 Abstract. The spatial assessment of soil functions requires maps of basic soil properties. Unfortunately, these are either missing for many regions or are not available at the desired spatial resolution or down to the required soil depth. The field-based generation of large soil datasets and conventional soil maps remains costly. Mean- while, legacy soil data and comprehensive sets of spatial environmental data are available for many regions. Digital soil mapping (DSM) approaches relating soil data (responses) to environmental