scholarly journals Characteristics of Rendzina soils in Serbia and their WRB classification

2020 ◽  
Vol 65 (3) ◽  
pp. 251-261
Author(s):  
Svjetlana Radmanovic ◽  
Maja Gajic-Kvascev ◽  
Vesna Mrvic ◽  
Aleksandar Djordjevic
Keyword(s):  
Fractional Composition ◽  
Soil Depth ◽  
Chemical Properties ◽  
Principal Component ◽  
Soil Classification ◽  
Soil Profiles ◽  
Total N ◽  
Reference Base ◽  
World Reference Base ◽  
Soil Units

According to the Serbian official soil classification system, Rendzina is a soil type with an A-AC-C-R profile, developed on parent rock containing more than 20% of calcareous material (except soils with an A-R profile on hard pure limestone or dolomite). Previous investigations have shown that 29 Rendzina soil profiles from Serbia belong to the reference soil groups (RSGs) of Leptosols, Regosols and Phaeozems according to the World Reference Base for Soil Resources (WRB 2015). The present study addresses the correlations among three WRB RSGs in terms of soil texture, mean weight diameter (MWD), total N content, and humus fractional composition using Principal Component Analysis (PCA). The objective is to better understand the mutual relationship between the classification soil units used in Serbia and the international WRB system. The results show that PCA cannot unequivocally distinguish between these three RSGs. Leptosols and Regosols are highly incoherent groups while the group of Phaeozems is highly coherent, leading to the conclusion that the physical and chemical properties of the soil profiles of Phaoeozems are specific. It is obvious that soil depth and color, which are the overriding factors in the differentiation of Rendzina soils into three WRB RSGs, had no significant effect on these properties. The results further show that soil properties such as texture, MWD, humus fractional composition, etc. cannot be used to correlate Rendzina soils from Serbia with WRB. Instead, careful correlation of individual soil profiles is needed based on quantitative soil data analysis as required by WRB.

Tree-based techniques to predict soil units

Soil Research ◽  
2017 ◽  
Vol 55 (8) ◽  
pp. 788 ◽  
Author(s):  
H. S. K. Pinheiro ◽  
P. R. Owens ◽  
L. H. C. Anjos ◽  
W. Carvalho Júnior ◽  
C. S. Chagas
Keyword(s):  
Vegetation Index ◽  
Soil Classification ◽  
Base System ◽  
Reference Base ◽  
Landscape Models ◽  
Statistical Indices ◽  
Normalised Difference Vegetation Index ◽  
World Reference Base ◽  
Kappa Value ◽  
Soil Units

Quantitative soil–landscape models offer a method for conducting soil surveys that use statistical tools to predict natural patterns in the occurrence of particular map units across a landscape. The aim of the present study was to predict soil units in a watershed with wide variation in landscape conditions. The approach relied on a modelling of soil-forming factors in order to understand the variability of the landscape components in the region. Models were generated for landscape attributes related to pedogenesis, specifically elevation, slope, curvature, compound topographic index, Euclidean distance from stream networks, landforms map, clay minerals index, iron oxide index and normalised difference vegetation index, along with an existing geology map. The soil classification was adapted from the World Reference Base System for Soil Resources, and the predominant soil taxonomic orders observed were Ferrasols, Acrisols, Gleysols, Cambisols, Fluvisols and Regosols. The algorithms used to predict the soil units were based on decision tree (DT) and random forest (RF) methods. The criteria used to evaluate the models’ performance were statistical indices, coherence between predicted units and the legacy map, as well as accuracy checks based on control samples. The best performing model was found to be the RF algorithm, with resulting statistical indices considered excellent (overall=0.966, kappa=0.962). The accuracy of the map as determined by control points was 67.89%, with a kappa value of 61.39%.

scholarly journals Properties of selected soils from the sub−arctic region of Labrador, Canada

2012 ◽  
Vol 33 (3) ◽  
pp. 207-224 ◽  
Author(s):  
Tony R. Walker
Keyword(s):  
Chemical Properties ◽  
Soil Classification ◽  
Arctic Region ◽  
Organic Soils ◽  
Soil Profiles ◽  
Anthropogenic Contamination ◽  
Podzolic Soils ◽  
Ecological Land Classification ◽  
Unconsolidated Material ◽  
Soil Units

Abstract Atotal of 212 soil profiles were described and assessed for physical and chemical properties during July 2006 as part of an Ecological Land Classification study along the Churchill River in central Labrador. Two major soil types were found in the study area along the Churchill River: Podzols and Organic soils. Podzolic soils covered approximately 60% and Organic soils occurred in 24% of the study area. Approximately 15% of the study area was classified as rock and other unconsolidated material. Summary results and a sub−set of the following soil units (from 10 soil profiles) are presented here and were distin− guished according to the Canadian System of Soil Classification (CSSC) (Soil Classifica− tion Working Group 1998): Orthic Humo−Ferric Podzol, Placic Ferro−Humic Podzol, Gleyed Humo−Ferric Podzol, Sombric Humo−Ferric Podzol, Gleyed Regosol and Orthic Luvic Gleysol. The basic properties of the soil units identified above included: (i) morpho− logical descriptions of soil profiles with differentiated horizons; (ii) field−texture tests were used to determine classes and physical properties of sands, silts, loams and occurrence of mottles; and (iii) a range of soil chemical composition of different horizons (e.g., pH, total organic carbon [TOC] and select metal concentrations) which indicated no anthropogenic contamination above background concentrations in the area.

scholarly journals Correlation between the Polish Soil Classification (2011) and international soil classification system World Reference Base for Soil Resources (2015)

2016 ◽  
Vol 67 (2) ◽  
pp. 88-100 ◽  
Author(s):  
Cezary Kabała ◽  
Marcin Świtoniak ◽  
Przemysław Charzyński
Keyword(s):  
International Society ◽  
Working Group ◽  
Soil Classification ◽  
Soil Resources ◽  
Reference Base ◽  
The World ◽  
World Reference Base ◽  
Recent Edition ◽  
Soil Units ◽  
Correlation Table

AbstractThe recent editions of the Polish Soil Classification (PSC) have supplied the correlation table with the World Reference Base for Soil Resources (WRB), which is the international soil classification most commonly used by Polish pedologists. However, the latest WRB edition (IUSS Working Group WRB 2015) has introduced significant changes and many of the former correlations became outdated. The current paper presents the closest equivalents of the soil orders, types and subtypes of the recent edition of the PSC (2011) and WRB (IUSS Working Group WRB 2015). The proposals can be used for general correlation of soil units on maps and in databases, and may support Polish soil scientists to establish the most appropriate equivalents for soils under study, as well as make PSC more available for an international society.

scholarly journals Maya and WRB Soil Classification in Yucatan, Mexico: Differences and Similarities

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Héctor Estrada-Medina ◽  
Francisco Bautista ◽  
Juan José María Jiménez-Osornio ◽  
José Antonio González-Iturbe ◽  
Wilian de Jesús Aguilar Cordero
Keyword(s):  
Soil Management ◽  
Soil Classification ◽  
Classification Systems ◽  
Soil Profiles ◽  
Agricultural Technologies ◽  
Soil Resources ◽  
Reference Base ◽  
Rock Fragments ◽  
Semistructured Interviews ◽  
World Reference Base

Soils of the municipality of Hocabá, Yucatán, México, were identified according to both Mayan farmers’ knowledge and the World Reference Base for Soil Resources (WRB). To identify Maya soil classes, field descriptions made by farmers and semistructured interviews were utilized. WRB soils were identified by describing soil profiles and analyzing samples in the laboratory. Mayan farmers identified soils based on topographic position and surface properties such as colour and amount of rock fragments and outcrops. Farmers distinguished two main groups of soils: K'ankab or soils of plains and Boxlu’um or soils of mounds. K'ankab is a group of red soils with two variants (K'ankab and Haylu’um), whereas Boxlu’um is a group of dark soils with five variants (Tsek'el, Ch'ich'lu’um, Chaltun, Puslu’um, and Ch'och'ol). Soils on the plains were identified as Leptosoils, Cambisols, and Luvisols. Soils identified in mounds were Leptosols and Calcisols. Many soils identified by farmers could be more than one WRB unit of soil and vice versa; in these cases no direct relationship between both classification systems was possible. Mayan and WRB soil types are complementary; they should be used together to improve regional soil classifications, help transference of agricultural technologies, and make soil management decisions.

scholarly journals Classification and assessment of agricultural potential of the lower Niger floodplain soils of Atani, Southeastern Nigeria

Agro-Science ◽  
2020 ◽  
Vol 19 (3) ◽  
pp. 51-61
Author(s):  
F.C. Okenmuo ◽  
C.O. Anochie ◽  
M.E. Ukabiala ◽  
C.L.A. Asadu ◽  
P.K. Kefas ◽  
...  
Keyword(s):  
Chemical Properties ◽  
Soil Classification ◽  
Exchange Capacity ◽  
Available Phosphorus ◽  
Soil Taxonomy ◽  
Southeastern Nigeria ◽  
Reference Base ◽  
Anambra State ◽  
Agricultural Potential ◽  
Capability Evaluation

The soils of Atani floodplain in Anambra State of Nigeria contribute significantly to the food production of the State, hence the need to understand their behavior in order to enhance their management and productivity. Profile pits were sited along three physiographic units viz: levee crest, levee  slope and flood basin. Soil samples were collected from the profile horizons and subjected to standard laboratory procedures. Characterization of the soils was based on their morphological, physical and chemical properties. Soil classification was carried out using the USDA Soil Taxonomy and correlated with FAO/IUSS World Reference Base. Its agricultural potential was assessed using the fertility capability classification. The soils were deep. Topsoil colour was dominantly blackish black (10YR 3/2). Mottles were pervasive; an indication of impeded drainage conditions. The soils were predominantly fine textured. Soil pH values ranged from 4.8 to 6.2. Exchangeable Calcium was low to moderate (2.6-8.2 cmol kg−1); Magnesium was moderate to high (1.6-6.8 cmol kg−1); Sodium was high to very high (1.0-2.5 cmol kg−1), while potassium was high (1.2-4.2 cmol kg−1). Cation  exchange capacity values ranged from 11.6 to 42.6 cmol kg−1. Total nitrogen was very low to low (0.14-1.12 g kg−1), while organic carbon was low to moderate (0.4-15.2 g kg−1). Available phosphorus was very low to high ranging from 0.93 to 31.71 mg kg−1 while base saturation ranged from 64 to 93%. The soils were classified as Typic Fluvaquents (Typic Fluvisols), Fluvaquentic Endoaquepts (Endostagnic Cambisols) and Fluventic Endoaquepts (Endostagnic Cambisols) according to the USDA and FAO/IUSS. The fertility capability evaluation of the soils revealed that the pedons were Lgn in classification due to limitations in drainage. Key words: alluvium, cambic horizon, Inceptisols, lithologic discontinuity

scholarly journals ЦИФРОВАЯ ПОЧВЕННАЯ КАРТА ВОДОСБОРА РЕКИ СОКОЛОВКА (ТЕРРИТОРИЯ ВЕРХНЕУССУРИЙСКОГО СТАЦИОНАРА ФНЦ БИОРАЗНООБРАЗИЯ ДВО РАН)

2019 ◽  
Author(s):  
A.A. Tereshkina ◽  
N.F. Pshenichnikova ◽  
A.N. Bugaets ◽  
O.M. Golodnaya ◽  
S.M. Krasnopeev
Keyword(s):  
Soil Classification ◽  
Soil Resources ◽  
Reference Base ◽  
Experimental Station ◽  
Digital Soil Map ◽  
Modern Soil ◽  
World Reference Base ◽  
The Russian Federation ◽  
The Right

В работе приведены предварительные результаты создания цифровой почвенной карты для бассейна р. Правая Соколовка, территории Верхнеуссурийского стационара (ВУС) ФНЦ Биоразнообразия наземной биоты Восточной Азии ДВО РАН 1: 50 000. По природным условиям территория типична для среднегорного пояса, представляет собой характерный низкосреднегорный участок южного СихотэАлиня. Климат района формируется под влиянием восточноазиатского муссона. В качестве топографической основы использована цифровая модель рельефа с пространственным разрешением 30 м (SRTM30), план лесонасаждений Верхнеуссурийского стационара, геологическая карта М 1: 200 000. Основными единицами карты являются почвенные подтипы. Номенклатура почв дана по региональной классификации Г. И. Иванова, выполнена адаптация к современной почвенной классификации Российской Федерации и проведена корреляция с номенклатурой почв Всемирной реферативной базой почвенных ресурсов (WRB). Каждый почвенный ареал включает данные по условиям формирования почв на уровне подтипа. Всего выделено десять подтипов. Показано, что в почвеннорастительном покрове четко выражена вертикальная зональность, представленная двумя почвеннорастительными поясами: горных буротаежных и горноподзолистых почв темнохвойных лесов и поясом горнолесных бурых почв хвойношироколиственных лесов. В поясе темнохвойных лесов в пределах высот 800 1000 м распространены горные ржавоземы грубогумусовые иллювиальногумусированные, составляющие 23,8 от общей площади бассейна. В поясе хвойношироколиственных лесов в основном распространены буроземы (70 от общей площади водосбора). Среди почв пойменных ландшафтов преобладают аллювиальные серогумусовые (дерновые) типичные. На основе информации по генетическим горизонтам создана база данных гидрофизических характеристик почв. По литературным источникам создана база данных физических характеристик почв (гранулометрический состав, глубина, вес, содержание гумуса) по генетическим горизонтам почвенных профилей (45 разрезов). С помощью алгоритмов обработки пространственных данных выполнен анализ численных характеристик морфометрии рельефа (средняя высота, уклон, площадь) почвенных ареалов.The digital soil map (1: 50 000) of the Right Sokolovka River basin the territory of the Upper Ussurian experimental station of the Centre of Biodiversity of the terrestrial biota of East Asia, FEB RAS. The main map units are soil subtypes. The soil nomenclature is given according to the regional classification, the adaptation to the modern soil classification of the Russian Federation was carried out and correlation with the soil nomenclature by the World Reference Base of Soil Resources was made. The calculation and preliminary analysis of the numerical characteristics of the morphometry of the topography of the soil areas has been performed.

scholarly journals Soil environment grouping system based on spectral, climate, and terrain data: a quantitative branch of soil series

SOIL ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 163-177
Author(s):  
Andre Carnieletto Dotto ◽  
Jose A. M. Demattê ◽  
Raphael A. Viscarra Rossel ◽  
Rodnei Rizzo
Keyword(s):  
Soil Classification ◽  
Empirical Knowledge ◽  
Soil Series ◽  
Soil Environment ◽  
Data Set ◽  
Reference Base ◽  
Automated Measurements ◽  
World Reference Base ◽  
Soil Information ◽  
New System

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 approach 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 quantitative way of classifying soils. Spectral data were utilized to obtain information about the soil, and this information 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 %. To derive the new system, we applied the spectral, climatic, and terrain variables, which – using cluster analysis – defined eight groups; thus, these groups were not generated by the traditional taxonomic method but instead by grouping areas with similar characteristics expressed by the variables indicated. They were denominated as “soil environment groupings” (SEGs). The SEG system facilitated the identification of groups with equivalent characteristics using not only soil but also environmental variables for their distinction. Finally, the conceptual characteristics of the eight SEGs were described. The new system has been designed to incorporate applicable soil data for agricultural management, to require less interference from personal/subjective/empirical knowledge (which is an issue in traditional taxonomic systems), and to provide more reliable automated measurements using sensors.

scholarly journals A Comparative Analysis of a Detailed and Semi-Detailed Soil Mapping for Sustainable Land Management Using Conventional and Currently Applied Methodologies in Greece

Land ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 154 ◽  
Author(s):  
Orestis Kairis ◽  
Vassiliki Dimitriou ◽  
Chrysoula Aratzioglou ◽  
Dionisios Gasparatos ◽  
Nicholas Yassoglou ◽  
...  
Keyword(s):  
Soil Classification ◽  
Botanical Garden ◽  
Soil Mapping ◽  
Classification Systems ◽  
Soil Survey ◽  
Sustainable Land Use ◽  
Soil Taxonomy ◽  
Reference Base ◽  
World Reference Base ◽  
Soil Surveys

Two soil mapping methodologies at different scales applied in the same area were compared in order to investigate the potential of their combined use to achieve an integrated and more accurate soil description for sustainable land use management. The two methodologies represent the main types of soil mapping systems used and still applied in soil surveys in Greece. Diomedes Botanical Garden (DBG) (Athens, Greece) was used as a study area because past cartographic data of soil survey were available. The older soil survey data were obtained via the conventional methodology extensively used over time since the beginnings of soil mapping in Greece (1977). The second mapping methodology constitutes the current soil mapping system in Greece recently used for compilation of the national soil map. The obtained cartographic and soil data resulting from the application of the two methodologies were analyzed and compared using appropriate geospatial techniques. Even though the two mapping methodologies have been performed at different mapping scales, using partially different mapping symbols and different soil classification systems, the description of the soils based on the cartographic symbols of the two methodologies presented an agreement of 63.7% while the soil classification by the two taxonomic systems namely Soil Taxonomy and World Reference Base for Soil Resources had an average coincidence of 69.5%.

The World Reference Base for Soils (WRB) and Soil Taxonomy: an appraisal of their application to the soils of the Northern Rivers of New South Wales

Soil Research ◽  
2013 ◽  
Vol 51 (3) ◽  
pp. 167 ◽  
Author(s):  
David T. Morand
Keyword(s):  
New South ◽  
New South Wales ◽  
Soil Classification ◽  
Soil Taxonomy ◽  
Reference Base ◽  
South Wales ◽  
The World ◽  
World Reference Base ◽  
Northern Rivers ◽  
Soil Surveys

Few soil surveys in New South Wales have utilised international soil classifications. Extensive morphological and laboratory data collected during soil surveys in the Northern Rivers region provided a strong basis for correlation with the World Reference Base for Soil Resources (WRB), Soil Taxonomy (ST), and the Australian Soil Classification (ASC). Of the 32 reference soil groups comprising the WRB, 20 were present locally; nine of the 12 ST orders were present. After re-classification of soils, correlation of the ASC with the WRB and ST was undertaken. Soils not requiring extensive laboratory analysis for classification and sharing similar central concepts were the more straightforward to correlate. Several ASC orders have unique central concepts and were therefore difficult to correlate with any one WRB reference soil group or ST order/suborder. Other soils were difficult to correlate due to differences in definitions of similar diagnostic criteria. This is most applicable to soils with strong texture-contrast and those with natric conditions. Such soils are not adequately differentiated to suit the Northern Rivers conditions. Of the two international schemes, the WRB was easier to apply locally due to the relative simplicity of the scheme. Considering certain aspects of Australian soils would improve the applicability of the WRB as a truly international framework for soil classification and correlation. Amendments to both the ASC and WRB are suggested.

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