Physical Nonequilibrium in Soils provides cutting-edge knowledge on physical nonequilibrium phenomena in soils, offering unique insight into the complexity of our physical world. With 18 chapters comprising the book, topics cover soil properties fluid properties mechanistic models transfer function geostatistics fractal analysis cellular-automation fluids coupling of physical and chemical nonequilibrium models confirming and quantifying physical nonequilibrium in soils analytical solutions field-scale research environmental impacts.

Discusses New Advancements to Improve Existing Simulations of Plant Nitrogen Written by research pioneers and leading scientists in the area of agricultural systems, Quantifying and Understanding Plant Nitrogen Uptake for Systems Modeling comprehensively covers plant N uptake in agricultural system models, especially for building soil-plant system models. The text illustrates how to minimize the transportation of nitrogen fertilizers in crop production to surface and ground waters, as even moderate errors in uptake estimations lead to a dramatic increase in the amount of nitrogen leached into groundwater. It also highlights the knowledge gaps preventing correct simulation of this process and explains what to look for when using a system model and interpreting simulation results. Applies to a Variety of Crops, Including Oilseed, Wheat, Potatoes, and Maize Addressing quantification and synthesis in the context of system modeling, this text introduces cutting-edge and original information regarding N uptake not previously offered by other research texts in the field. This, in turn, benefits scientists, professors, system modelers, and model users in interpreting modeling results for enhancing nitrogen management and developing decision support tools. This volume documents, with complex, detailed models, plant N uptake based on absorption kinetics of transporters across the root cell membranes, mass flow, and diffusion to the root surface of single or composite roots. It also provides simpler models used in N uptake simulations at the field and watershed scales. Discusses All Areas of the Complex Process In addition to the important processes of nitrogen translocation, remobilization, and grain protein formation, the book documents various philosophies, mechanisms, and scales in simul

Good management practices for carbon and nitrogen are vital to crop productivity and soil sustainability, as well as to the reduction of global greenhouse gases and environmental pollution. Since the 1950's, mathematical models have advanced our understanding of carbon and nitrogen cycling at both the micro- and macro-scales. However, many of the models are scattered in the literature, undergo constant modification, and similar models can have different names. Modeling Carbon and Nitrogen Dynamics for Soil Management clarifies the confusion by presenting a systematic summary of the various models available. It provides information about strengths and weaknesses, level of complexity, easiness of use, and application range of each model. In nineteen chapters, internationally known model developers and users update you on the current status and future direction of carbon and nitrogen modeling. The book's coverage ranges from theoretical comparison of models to application of models to soil management problems, from laboratory applications to field and watershed scale applications, from short-term simulation to long-term prediction, and from DOS-based computer programs to Object-Oriented and Graphical Interface designs. With this broad scope, Modeling Carbon and Nitrogen Dynamics for Soil Management provides the tools to manage complex carbon/nitrogen processes effectively.

Most books covering the use of computer models in agricultural management systems target only one or two types of models. There are few texts available that cover the subject of systems modeling comprehensively and that deal with various approaches, applications, evaluations, and uses for technology transfer. Agricultural System Models in Field Research and Technology Transfer fills this need. It presents the latest advances in the use of various computer models in agricultural management systems. This authoritative reference provides guidance on the use of models in field research, decision support, precision farming, and technology transfer to farmers and ranchers. Derived from an international symposium co-sponsored by the American Society of Agronomy, the Soil Science Society of America, and the USDA's Agricultural Research Service, it analyzes current system model applications for the modeling of natural resources, crop production, grazing lands, and animal production systems. Leading international agricultural system scientists present their experiences and provide guidance on how models can be used to enhance the quality of field research, transfer of research information and technology to farmers and ranchers, and decision support for agricultural management. They provide an expert review of the existing problems and possible solutions to improve future applications. In addition, Agricultural System Models in Field Research and Technology Transfer explores the possible use of an international modular computer framework to improve current modeling procedures in an effort to develop problem-specific models in the future.

Good management practices for carbon and nitrogen are vital to crop productivity and soil sustainability, as well as to the reduction of global greenhouse gases and environmental pollution. Since the 1950's, mathematical models have advanced our understanding of carbon and nitrogen cycling at both the micro- and macro-scales. However, many of the models are scattered in the literature, undergo constant modification, and similar models can have different names.

Modeling Carbon and Nitrogen Dynamics for Soil Management clarifies the confusion by presenting a systematic summary of the various models available. It provides information about strengths and weaknesses, level of complexity, easiness of use, and application range of each model. In nineteen chapters, internationally known model developers and users update you on the current status and future direction of carbon and nitrogen modeling.

The book's coverage ranges from theoretical comparison of models to application of models to soil management problems, from laboratory applications to field and watershed scale applications, from short-term simulation to long-term prediction, and from DOS-based computer programs to Object-Oriented and Graphical Interface designs. With this broad scope, Modeling Carbon and Nitrogen Dynamics for Soil Management provides the tools to manage complex carbon/nitrogen processes effectively.

Physical Nonequilibrium in Soils provides cutting-edge knowledge on physical nonequilibrium phenomena in soils, offering unique insight into the complexity of our physical world. With 18 chapters comprising the book, topics cover soil properties fluid properties mechanistic models transfer function geostatistics fractal analysis cellular-automation fluids coupling of physical and chemical nonequilibrium models confirming and quantifying physical nonequilibrium in soils analytical solutions field-scale research environmental impacts.

Written by research pioneers and leading scientists in the area of agricultural systems, Quantifying and Understanding Plant Nitrogen Uptake for Systems Modeling comprehensively covers plant N uptake in agricultural system models, especially for building soil-plant system models.

The text illustrates how to minimize the transportation of nitrogen fertilizers in crop production to surface and ground waters, as even moderate errors in uptake estimations lead to a dramatic increase in the amount of nitrogen leached into groundwater. It also highlights the knowledge gaps preventing correct simulation of this process and explains what to look for when using a system model and interpreting simulation results.

Applies to a Variety of Crops, Including Oilseed, Wheat, Potatoes, and Maize

Addressing quantification and synthesis in the context of system modeling, this text introduces cutting-edge and original information regarding N uptake not previously offered by other research texts in the field. This, in turn, benefits scientists, professors, system modelers, and model users in interpreting modeling results for enhancing nitrogen management and developing decision support tools.

This volume documents, with complex, detailed models, plant N uptake based on absorption kinetics of transporters across the root cell membranes, mass flow, and diffusion to the root surface of single or composite roots. It also provides simpler models used in N uptake simulations at the field and watershed scales.

Discusses All Areas of the Complex Process

In addition to the important processes of nitrogen translocation, remobilization, and grain protein formation, the book documents variousphilosophies, mechanisms, and scales in simulating plant N uptake in agricultural system models, while providing an extensive review of the uptake of dissolved organic nitrogen by plants in ecosystems.

Most books covering the use of computer models in agricultural management systems target only one or two types of models. There are few texts available that cover the subject of systems modeling comprehensively and that deal with various approaches, applications, evaluations, and uses for technology transfer. Agricultural System Models in Field Research and Technology Transfer fills this need. It presents the latest advances in the use of various computer models in agricultural management systems.

This authoritative reference provides guidance on the use of models in field research, decision support, precision farming, and technology transfer to farmers and ranchers. Derived from an international symposium co-sponsored by the American Society of Agronomy, the Soil Science Society of America, and the USDA's Agricultural Research Service, it analyzes current system model applications for the modeling of natural resources, crop production, grazing lands, and animal production systems.

Leading international agricultural system scientists present their experiences and provide guidance on how models can be used to enhance the quality of field research, transfer of research information and technology to farmers and ranchers, and decision support for agricultural management. They provide an expert review of the existing problems and possible solutions to improve future applications. In addition, Agricultural System Models in Field Research and Technology Transfer explores the possible use of an international modular computer framework to improve current modeling procedures in an effort to develop problem-specific models in the future.