Soils of Southeast Asia

Author(s):  
R. Dudal

Towards the end of the nineteenth century, with the advent of soil science, soils of the humid tropics were recognized as a separate entity called ‘tropical forest lateritic soils’. The term ‘lateritic’ was derived from laterite (Latin later, brick), a term coined by Buchanan (1807) to describe an iron-rich clay from south India which, when hardened upon exposure, was used as building material. Originally it was thought that laterite represented soil formations throughout the humid tropics, hence the generalization of the name to all red soils in the region. The great diversity of the tropical soils was realized only around the 1930s along with the limited areal occupation of laterite in the tropics. It was actually in Southeast Asia that Vageler (1930) and Mohr (1944) wrote the first two books on tropical soils, based essentially on their study of soils in Indonesia. The two volumes of Mohr’s book were published in Dutch in 1934–8. The English translation appeared in 1944. They attempted to classify soils of the tropics according to thickness, degree of weathering, parent material, and fertility. The understanding of the morphology, genesis, and distribution of soils in Southeast Asia evolved with the establishment and development of soil surveys in different countries of the region from the 1950s. A first overview was prepared by Dudal and Moormann (1964), using the 1938 and 1960 soil classification systems of the United States Department of Agriculture (USDA) (Baldwin, Kellogg, and Thorp 1938; Soil Survey Staff 1960). A revised version was in place by 1974 (Dudal, Moormann, and Riquier 1974). Preparation of a soil map of the world at a scale of 1:5 million started in 1961 at the initiative of the Food and Agricultural Organization of the United Nations (FAO), UNESCO, and the International Society of Soil Science (ISSS). In 1974 a unified soil classification was prepared and published (FAO 1974). A volume was specifically devoted to Southeast Asia (FAO 1979). The present chapter is based on this publication, and reference should be made to it and the accompanying map (1:5 million) for detailed information about the soils of the region.

Author(s):  
Anthony S. R. Juo ◽  
Kathrin Franzluebbers

Several pedological soil classification schemes have been developed to classify soils worldwide based on morphological features, stage of weathering, and to some extent their chemical and physical properties. Three soil classification systems are commonly used as research and teaching tools in the tropics, namely, the USDA Soil Taxonomy classification, the FAO/UNESCO World Soil Legends, and the French soil classification system. Brazil, the country with the largest land area in the tropics, has its own national soil classification system. However, soil survey, classification, and interpretation are costly and time-consuming, and few countries in the tropics have completed soil maps that are at a scale detailed enough to be useful to farmers and land users. In the absence of soil information at state, county or farm level, the authors propose a simple descriptive grouping of major soils in the tropics based on clay mineralogy to facilitate discussion on soil management and plant production in the subsequent chapters of this book. Reference to the Soil Taxonomy classification will be made when such information is available. It should be pointed out that the main purpose of this technical grouping is to provide field workers, especially those who are less familiar with the various soil classification systems, with a simple framework for planning soil management strategies. It by no means replaces the national and international soil taxonomy and classification systems that are designed for communication among soil scientists and for more detailed interpretation of soil survey data and land-use planning. This technical scheme classifies major arable soils in the tropics into four groupings according to their dominant clay mineralogy. They are • kaolinitic soils • oxidic soils • allophanic soils • smectitic soils Kaolinitic soils are deeply weathered soils with a sand, loamy sand, or sandy loam texture in the surface horizon and a clayey B horizon (20-60%). Silt content is low (< 20%) throughout the profile. Kaolinite (> 90%) is the dominant mineral in the clay fraction. These soils have an effective CEC of less than 12 cmol/kg of clay in the lower B horizon. Kaolinitic soils have a relatively high bulk density, especially in the clayey subsoil horizons (> 1.40 Mg/m3). The structure of the subsoil horizons is usually massive or blocky.


Land ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 154 ◽  
Author(s):  
Orestis Kairis ◽  
Vassiliki Dimitriou ◽  
Chrysoula Aratzioglou ◽  
Dionisios Gasparatos ◽  
Nicholas Yassoglou ◽  
...  

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%.


Author(s):  
Shane Robert Furze ◽  
Paul Arp

There is a growing demand for standardized, easily accessible and detailed information pertaining to soil and its variability across the landscape. Typically, this information is only available for select areas in the form of local or regional soil surveys reports which are difficult, and costly, to develop. Additionally, soil surveying protocols have changed with time, resulting in inconsistencies between surveys conducted over different periods. This article describes systematic procedures applied to generate an aspatial, terminologically- and unit-consistent, database for forest soils from county-based soil survey reports for the province of New Brunswick, Canada. The procedures involved (i) amalgamating data from individual soil surveys following a hierarchical framework, (ii) summarizing and grouping soil information by soil associations, (iii) assigning correct soil associates to each association, with each soil associate distinguished by drainage classification, (iv) assigning pedologically-correct horizon sequences, as identified in the original soil surveys, to each soil associate, (v) assigning horizon descriptors and measured soil properties to each horizon, as outlined by the Canadian System of Soil Classification, and (vi) harmonizing units of measurement for individual soil properties. Identification and summarization of all soil associations (and corresponding soil associates) was completed with reference to the principal soil-forming factors, namely soil parent material, topographic surface expressions, soil drainage, and dominant vegetation type(s). This procedure, utilizing 17 soil surveys, resulted in an amalgamated database containing 106 soil associations, 243 soil associates, and 522 soil horizon sequences summarizing the variability of forest soil conditions across New Brunswick.


2015 ◽  
Vol 34 (2) ◽  
pp. 296-309 ◽  
Author(s):  
Edward R. Landa ◽  
Eric C. Brevik

Despite the historical origins of soil science as a geological science, scholarship in the history of soil science remains an outlier with respect to the presently structured history of geological sciences community. The history-oriented activities of the Soil Science Society of America, the European Geosciences Union, and the International Union of Soil Sciences show active efforts to document and extend knowledge of soil science history. An overview of pedology and its numerous links to geomorphology and other geological specialties is presented. Geologists were involved in early soil mapping, soil degradation studies, creation of soil classification systems, and development of the soil geomorphology subfield, each case demonstrating strong historical ties between geology and soil science. Areas of common interest between soil science and geology offer new opportunities for integration and cooperation in Earth science history going forward.


2018 ◽  
Vol 14 (1) ◽  
pp. 85-90
Author(s):  
Tatiana V. Prokof’eva

Abstract Soil classification systems provide a common language for scientific communication, represent the diversity of soils and create a scientific basis for soil management, monitoring and conservation. There are several soil classifications currently in use in Russia. Teaching soil systematics to students at the Faculty of Soil Science of the LMSU has developed over the years to meet specific requirements at different stages of education. Students learn to use and correlate different classification systems. Bachelor’s students study classifications to enable professional communication and describing soil diversity. Master’s students further learn the key principles of soil formation, historical and current trends in the development of soil science and the international terminology of soil science. Studying different aspects of the theory and practice of soil classification at different stages of education gives our students a solid base for systematising their knowledge and acquiring skills in scientific research.


Radiocarbon ◽  
1989 ◽  
Vol 31 (03) ◽  
pp. 672-679 ◽  
Author(s):  
Peter Becker-Heidmann ◽  
H-W Scharpenseel

We determined δ13C and D14C in some agricultural soil profiles of the tropics: Ustalf from the semi-arid tropics (India), a Udult, an Aquoll and an Aquept from the humid tropics (Philippines). We used a thin-layer sampling, resulting in high-resolution depth-distribution patterns of natural 13C and 14C content of organic carbon. Regular plowing or puddling leads to uniform isotope concentrations in the topsoil. Decomposition of organic matter raises the δ13C value, and vertical translocation raises the δ13C value with depth. The change of cultivation from pulses (C3-type metabolism of photosynthesis) to sorghum (C4) results in a decrease of δ13C with depth in the topsoil. Where the clay content in the subsoil is high, δ13C remains constant, due to fixation of organic carbon to clay minerals, and D14C decreases with depth. Below the clay-enriched zone, δ13C declines and D14C rises again, due to a chromatographic-like effect. At some horizon boundaries, inhomogeneities in texture delay percolation locally, thus preventing sorption and causing peak values of D14C.


1983 ◽  
Vol 63 (4) ◽  
pp. 679-689 ◽  
Author(s):  
G. WILSON

The UNIFIED and AASHTO systems are used in engineering to classify soils for specific purposes. To facilitate use of the soil surveys by engineers, it has been customary to interpret soil survey mapping units in terms of these engineering classification systems. The procedure, however, is often difficult to follow and normally time-consuming. When used in combination with pedotechnical setting sheets, interpretation sheets reduce this time element and provide for more effective use of the soil survey information. This paper demonstrates development and application of the interpretation sheets. Key words: Engineering soil classification, pedotechnical interpretations, UNIFIED, AASHTO, soil engineering


2021 ◽  
Author(s):  
John Furey ◽  
Austin Davis ◽  
Jennifer Seiter-Moser

The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil characteristics within soil profiles, and the vast majority of this pedologic information is contained in nonquantitative text descriptions. We present initial text mining analyses of parsed text in the digitally available USDA soil taxonomy documentation and the Soil Survey Geographic database. Previous research has shown that latent information structure can be extracted from scientific literature using Natural Language Processing techniques, and we show that this latent information can be used to expedite query performance by using syntactic elements and part-of-speech tags as indices. Technical vocabulary often poses a text mining challenge due to the rarity of its diction in the broader context. We introduce an extension to the common English vocabulary that allows for nearly-complete indexing of USDA Soil Series Descriptions.


2019 ◽  
Vol 70 (2) ◽  
pp. 98-114
Author(s):  
Marcin Świtoniak ◽  
Cezary Kabała ◽  
Marek Podlasiński ◽  
Bożena Smreczak

Abstract Agricultural soil maps (ASM), prepared since mid-1960s until 1980s and digitalised recently, are important source of information on the quality and spatial variability of arable soils in Poland. Basic standard information in each map contour includes the indication of a (genetic) soil type (often also the subtype or variety related to parent material or other specific properties), soil texture classes throughout the profile, and the category of soil agricultural suitability, which covers the complex information about the soil conditions, land morphology, climate and moisture regime. Unfortunately, the genetic classification on ASM is simplified compared to soil classifications in Poland and does not reflect numerous modernisations of the classification systems, including the modifications of existing units and newly introduced soil types and subtypes. Thus, the reinterpretation of ASM is necessary to simplify the further use of ASM by various users, to allow the creation of modern soil maps based on archival databases, and to correlate the soil data with other modern national and international classifications. This paper includes a proposal of equivalents for the soil units indicated in agricultural soil map (using all soil data available in a map contour), correlated with a recent, the 6th edition of Polish Soil Classification.


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