Written in a clear, accessible style, this book covers the fundamental aspects of soil science with an emphasis on topics useful to landscape architects and professionals in related fields. The book begins with a discussion of soil surveys developed in different countries, followed by a concise description of soil components and how the interactions between air, water, and nutrients affect plant growth. It examines methods for controlling erosion, particularly in light of modern irrigation techniques. It describes the chemistry of plant growth, devotes four chapters to macro- and micro-nutrients, and features a detailed discussion of ways to diagnose and correct plant disorders. It also looks at the engineering aspects of soils and includes a detailed list of references for further information. Written by an experienced teacher with an extensive background in landscape architecture, this volume will be an invaluable source for students and researchers in architecture, horticulture, and urban planning.
Results of an organic matter management experiment of a sugar cane crop are reported for the first cropping year. Sugar cane was planted in October 1997, and labeled with a 15N fertilizer pulse to study the fate of organic matter in the soil-plant system. A nitrogen balance is presented, partitioning the system in plant components (stalk, tip and straw), soil components (five soil organic matter fractions) and evaluating leaching losses. The 15N label permitted to determine, at the end of the growing season, amounts of nitrogen derived from the fertilizer, present in the above mentioned compartments.
Regression equations, developed to predict the water content at 1/3- and 15-atm tension for various soil Orders in Canada, were tested against a set of independent data with generally a good degree of success. Some of the discrepancies between predicted and observed values could be attributed to the mineralogical and/or textural distribution of the prediction vs. test data, but in other cases causes of inconsistency were unclear. The equations which were not tested, due to insufficient available test data, should be used with caution.