Provides guidelines to promote the development and implementation of consistent methods and standards for conducting soil and land resource surveys in Australia.
Guidelines for Surveying Soil and Land Resources promotes the development and implementation of consistent methods and standards for conducting soil and land resource surveys in Australia. These surveys are primarily field operations that aim to identify, describe, map and evaluate the various kinds of soil or land resources in specific areas. The advent of geographic information systems, global positioning systems, airborne gamma radiometric remote sensing, digital terrain analysis, simulation modelling, efficient statistical analysis and internet-based delivery of information has dramatically changed the scene in the past two decades. As successor to the Australian Soil and Land Survey Handbook: Guidelines for Conducting Surveys, this authoritative guide incorporates these new methods and techniques for supporting natural resource management. Soil and land resource surveyors, engineering and environmental consultants, commissioners of surveys and funding agencies will benefit from the practical information provided on how best to use the new technologies that have been developed, as will professionals in the spatial sciences such as geomorphology, ecology and hydrology.
The Australian Soil and Land Survey Field Handbook specifies methods and terminology for soil and land surveys. It has been widely used throughout Australia, providing one reference set of definitions for the characterisation of landform, vegetation, land surface, soil and substrate. The book advocates that a comprehensive suite of land and soil attributes be recorded in a uniform manner. This approach is more useful than the allocation of land or soil to preconceived types or classes. The third edition includes revised chapters on location and vegetation as well as some new landform elements. These updates have been guided by the National Committee on Soil and Terrain, a steering committee comprising representatives from key federal, state and territory land resource assessment agencies. Essential reading for all professionals involved in land resource surveys, this book will also be of value to students and educators in soil science, geography, ecology, agriculture, forestry, resource management, planning, landscape architecture and engineering.
Soil physical measurements are essential for solving many natural resource management problems. This operational laboratory and field handbook provides, for the first time, a standard set of methods that are cost-effective and well suited to land resource survey. It provides: *practical guidelines on the soil physical measurements across a range of soils, climates and land uses; *straightforward descriptions for each method (including common pitfalls) that can be applied by people with a rudimentary knowledge of soil physics, and *guidelines on the interpretation of results and integration with land resource assessment. Soil Physical Measurement And Interpretation for Land Evaluation begins with an introduction to land evaluation and then outlines procedures for field sampling. Twenty detailed chapters cover pore space relations, water retention, hydraulic conductivity, water table depth, dispersion, aggregation, particle size, shrinkage, Atterburg limits and strength. The book includes procedures for estimating soil physical properties from more readily available data and shows how soil physical data can be integrated into land planning and management decisions.
Soils are affected by human activities, such as industrial, municipal and agriculture, that often result in soil degradation and loss. In order to prevent soil degradation and to rehabilitate the potentials of degraded soils, reliable soil data are the most important prerequisites for the design of appropriate land-use systems and soil management practices as well as for a better understanding of the environment. The availability of reliable information on soil morphology and other characteristics obtained through examination and description of the soil in the field is essential, and the use of a common language is of prime importance. These guidelines, based on the latest internationally accepted systems and classifications, provide a complete procedure for soil description and for collecting field data. To help beginners, some explanatory notes are included as well as keys based on simple test and observations.--Publisher's description.
This handbook specifies methods, standards and terminology for the description of sites in the field. It provides Australia with one set of definitions and has been designed for field use. This edition has been revised and contains a number of new sections. The book is aimed at students and educators in soil science, geography, ecology, agriculture, forestry, resource management, planning, landscape architecture and engineering.
Soil Mapping and Process Modeling for Sustainable Land Use Management is the first reference to address the use of soil mapping and modeling for sustainability from both a theoretical and practical perspective. The use of more powerful statistical techniques are increasing the accuracy of maps and reducing error estimation, and this text provides the information necessary to utilize the latest techniques, as well as their importance for land use planning. Providing practical examples to help illustrate the application of soil process modeling and maps, this reference is an essential tool for professionals and students in soil science and land management who want to bridge the gap between soil modeling and sustainable land use planning. - Offers both a theoretical and practical approach to soil mapping and its uses in land use management for sustainability - Synthesizes the most up-to-date research on soil mapping techniques and applications - Provides an interdisciplinary approach from experts worldwide working in soil mapping and land management
Quantitative description of variable material; Sampling and estimation; Generalization, prediction, and classification; Relations between variables: covariance and correlation; Regression; Relations between indivuduals: similarity; Ordination; Analysis of dispersion and discrimination; Numerical classification: hirarchical systems; Numerical classification: non-hierarchical methods; Spatial dependence; Nested sampling and analysis; Local estimation: kriging; Appendix: matrix methods and notation.