Soil and ecosystem modeling is crucial for managing and comprehending ecological processes and should be required for all studies focusing on agriculture systems, environmental management, environmental sciences, and ecology. Offering an array of modeling strategies that include applications of machine learning, deep learning, and other AI methods, the book explores and demonstrates soil, agriculture, and ecosystem modeling for fostering smart sustainable agricultural practices. The volume takes into account the mechanisms of climate change as well as the challenges and hazards related to soil health, providing insight into long-term and sophisticated sustainable agriculture, crop protection and management, soil carbon sequestration, and ecology preservation.

Soil Carbon Storage: Modulators, Mechanisms and Modeling takes a novel approach to the issue of soil carbon storage by considering soil C sequestration as a function of the interaction between biotic (e.g. microbes and plants) and abiotic (climate, soil types, management practices) modulators as a key driver of soil C. These modulators are central to C balance through their processing of C from both plant inputs and native soil organic matter. This book considers this concept in the light of state-of-the-art methodologies that elucidate these interactions and increase our understanding of a vitally important, but poorly characterized component of the global C cycle. The book provides soil scientists with a comprehensive, mechanistic, quantitative and predictive understanding of soil carbon storage. It presents a new framework that can be included in predictive models and management practices for better prediction and enhanced C storage in soils. - Identifies management practices to enhance storage of soil C under different agro-ecosystems, soil types and climatic conditions - Provides novel conceptual frameworks of biotic (especially microbial) and abiotic data to improve prediction of simulation model at plot to global scale - Advances the conceptual framework needed to support robust predictive models and sustainable land management practices

Pesticides in the soil environment - an overview. Pesticide sources to the soil and principles of spray physics. The retention processes: mechanisms. Sorption estimates for modeling. Abiotic transformations in water, sediments, and soil. Biological transformation processes of pesticides. Volatilization and vapor transport processes. Organic chemical transport to Groundwater. Movement of pesticides into surface waters. Modeling pesticide fate in soils. Efficacy of soil-applied pesticides. Impact of pesticides on the environment. Risk/benefit and regulations. Chemical index.

Crop modelling has huge potential to improve decision making in farming. This collection reviews advances in next-generation models focused on user needs at the whole farm system and landscape scale.

This book reports on developments in Proximal Soil Sensing (PSS) and high resolution digital soil mapping. PSS has become a multidisciplinary area of study that aims to develop field-based techniques for collecting information on the soil from close by, or within, the soil. Amongst others, PSS involves the use of optical, geophysical, electrochemical, mathematical and statistical methods. This volume, suitable for undergraduate course material and postgraduate research, brings together ideas and examples from those developing and using proximal sensors and high resolution digital soil maps for applications such as precision agriculture, soil contamination, archaeology, peri-urban design and high land-value applications, where there is a particular need for high spatial resolution information. The book in particular covers soil sensor sampling, proximal soil sensor development and use, sensor calibrations, prediction methods for large data sets, applications of proximal soil sensing, and high-resolution digital soil mapping. Key themes: soil sensor sampling – soil sensor calibrations – spatial prediction methods – reflectance spectroscopy – electromagnetic induction and electrical resistivity – radar and gamma radiometrics – multi-sensor platforms – high resolution digital soil mapping - applications Raphael A. Viscarra Rossel is a scientist at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) of Australia. Alex McBratney is Pro-Dean and Professor of Soil Science in the Faculty of Agriculture Food & Natural Resources at the University of Sydney in Australia. Budiman Minasny is a Senior Research Fellow in the Faculty of Agriculture Food & Natural Resources at the University of Sydney in Australia.

This multi-contributor, international volume synthesizes contributions from the world's leading soil scientists and ecologists, describing cutting-edge research that provides a basis for the maintenance of soil health and sustainability. The book covers these advances from a unique perspective of examining the ecosystem services produced by soil biota across different scales - from biotic interactions at microscales to communities functioning at regional and global scales. The book leads the user towards an understanding of how the sustainability of soils, biodiversity, and ecosystem services can be maintained and how humans, other animals, and ecosystems are dependent on living soils and ecosystem services. This is a valuable reference book for academic libraries and professional ecologists worldwide as a statement of progress in the broad field of soil ecology. It will also be of interest to both upper level undergraduate and graduate students taking courses in soil ecology, as well as academic researchers and professionals in the field requiring an authoritative, balanced, and up-to-date overview of this fast expanding topic.

The increased use of chemical fertilizers and pesticides in crop production has adversely affected both the environment and the agricultural economy. Not only has it led to environmental pollution, but also the increasing costs of chemical inputs and the low prices received for agricultural products have contributed to economic unprofitability and instability.The International Symposium on Agricultural Ecology and Environment was organised in order to discuss ways of achieving the goals of economically and environmentally sustainable agriculture. It is apparent that a truly multidisciplinary effort is required and for this reason the meeting was attended by authors from many different disciplines and geographical locations. Although their papers reflect a wide diversity of agroecosystem types and examples, several common themes emerge: the increased importance of biotic control of ecosystem processes in lower input systems; the key role of soil organic matter in stabilizing nutrient cycling; the importance of agricultural landscape diversity and complexity; the importance of studying ecological processes in natural and agricultural ecosystems; the critical need to integrate socio-economic and ecological approaches.

Soil organic matter (SOM) represents a major pool of carbon within the biosphere, roughly twice than in atmospheric CO2. SOM models embody our best understanding of soil carbon dynamics and are needed to predict how global environmental change will influence soil carbon stocks. These models are also required for evaluating the likely effectiveness of different mitigation options. The first important step towards systematically evaluating the suitability of SOM models for these purposes is to test their simulations against real data. Since changes in SOM occur slowly, long-term datasets are required. This volume brings together leading SOM model developers and experimentalists to test SOM models using long-term datasets from diverse ecosystems, land uses and climatic zones within the temperate region.

It is estimated that roughly 1000 new ecological and environmental models join the ranks of the scientific literature each year. The international peer-reviewed literature reports some 20,000 new models spanning the period from 1970-2010. Just to keep abreast of the field it is necessary to design a handbook of models that doesn't merely list them,

With descriptions of hundreds of the most important environmental and ecological models, this handbook is a unique and practical reference source. The Handbook of Environmental and Ecological Modeling is ideal for those working in environmental modeling, including regulators and managers who wish to understand the models used to make assessments. Overviews of more than 360 models are easily accessed in this handbook, allowing readers to quickly locate information they need about models available in a given ecosystem. The material in the Handbook of Environmental and Ecological Modeling is logically arranged according to ecosystem. Each of the sixteen chapters of the handbook covers a particular ecosystem, and includes not only the descriptions of the models, but also an overview of the state-of-the-art in modeling for that particular ecosystem. A summary of the spectrum of available models is also provided in each chapter. The extensive table of contents and the easy-to-use index put materials immediately at your fingertips.