Geared toward agriculturists, students, the public, and policy makers, Grassland takes on the task of increasing our awareness of the vital role grass and grassland plants have in ensuring a sustainable future for America. Aiming to inspire and educate, the book's three main sections highlight the voices of grassland advocates through history, examine the many functions of grassland today, and look at the benefits grass-based agriculture can provide when grass is treated as an essential resource. Includes a foreword by Wendell Berry.The American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America are prominent international scientific societies headquartered in Madison, Wisconsin. The Societies specialize in peer-reviewed, high-quality science titles for a wide variety of audiences.Some of the many areas we publish in include:-Soils Methods and Management-Crop Development and Improvement-Agrosystem Management and the Global Food C

Grassland: Quietness and Strength for a New American Agriculture (ASA, CSSA, and SSSA Books)

Science & Math

Biological Sciences

ACSESS

If more than half of the Earth’s people live in cities and the amount of paved surfaces in the United States is equivalent to the area of Ohio, shouldn’t our sciences thrive in the city? Urban Ecosystem Ecology takes on the important task of reconciling environmental sciences with the world’s growing urbanization. From wildlife to water, from urban agriculture to low-impact development, we need a better understanding of the urban ecosystem.

Urban Ecosystem Ecology (Agronomy Monographs)

Aitkenhead-Peterson, J.

Earth Sciences

Why model? Agricultural system models enhance and extend field research...to synthesize and examine experiment data and advance our knowledge faster, to extend current research in time to predict best management systems, and to prepare for climate-change effects on agriculture. The relevance of such models depends on their implementation. Methods of Introducing System Models into Agricultural Research is the ultimate handbook for field scientists and other model users in the proper methods of model use. Readers will learn parameter estimation, calibration, validation, and extension of experimental results to other weather conditions, soils, and climates. The proper methods are the key to realizing the great potential benefits of modeling an agricultural system. Experts cover the major models, with the synthesis of knowledge that is the hallmark of the Advances in Agricultural Systems Modeling series.

Methods of Introducing System Models into Agricultural Research (Advances in Agricultural Systems Modeling)

Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences provides readers with an understanding and appreciation for the design and analysis of mixed models for non-normally distributed data. It is the only publication of its kind directed specifically toward the agricultural and natural resources sciences audience. Readers will especially benefit from the numerous worked examples based on actual experimental data and the discussion of pitfalls associated with incorrect analyses.

Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences (ASA, CSSA, and SSSA Books)

Kramer, Matthew

West, Mark

Stroup, Walter W.

Gbur, Edward E.

McCarter, Kevin S.

Durham, Susan

Young, Linda J.

Christman, Mary

The new graduate student must select a graduate committee, plan course work, find an original research topic, and design a research plan that ultimately leads to a defensible thesis or series of publishable research articles. Whether a graduate student plans a research career or not, he or she typically must complete an original, independent, analytical study, even though few beginning students know how or where to begin. A little help would be good, right? This process-oriented manual holds the fundamentals students in the sciences need to trek the graduate school path―it is their “backpack.” Open it and see what it can do for you.

The Graduate Student's Backpack: It's What You Need on the Research Path (ASA, CSSA, and SSSA Books)

Taskey

Research progress in soil–root growth interactions has been slow due to the relative inaccessibility of roots in their natural environment and because root research cuts across the boundaries of soil science, ecology, crop science, and plant physiology, among others. Enhancing Understanding and Quantification of Soil–Root Growth Interactions takes on this challenge to solve society's growing problems in the conservation of quality water and soil resources. Researchers must come together and leverage our understanding of the rhizosphere to maximize efficient, sustainable use of limited water and soil nutrient resources. This is a serious calling―from addressing the critical needs in nations who cannot afford costly fertilizers, to the global challenge of enhancing soil carbon storage to reduce climate change effects of elevated carbon dioxide. This book brings together scientists from different disciplines, worldwide, together to encourage synthesis of transdisciplinary knowledge and further research and developments in the area of root–soil interactions.

Enhancing Understanding and Quantification of Soil-Root Growth Interactions (Advances in Agricultural Systems Modeling)

Completely devoted to application of models to optimize the use of limited water and nutrients in various climates, this collection will inspire confidence in the capacity of modeling to tackle the biggest threats to secure agriculture. To obtain the most production from available water while maintaining natural resources, we need whole system based quantitative knowledge and tools to help select appropriate crops and manage water and associated inputs on a site-specific basis under changing climate.   Site-specific experimental results are available for limited locations, limited periods of time, and limited management options. Well-tested process models of cropping systems can extend field research results to long-term weather conditions, as well as other climates and soils, allowing us to explore new management options. The case studies in this volume are promising examples of these kinds of solutions.

Practical Applications of Agricultural System Models to Optimize the Use of Limited Water (Advances in Agricultural Systems Modeling)

Nature & Ecology

This ground-breaking look at modeling greenhouse gas emissions considers crop, livestock, and forestry productions systems. These are important sources and sinks of greenhouses gases, but estimates of the magnitude of gas fluxes are more uncertain than those for other economic sectors such as transportation and electricity generation. Recent improvements in process-level understanding, modeling software, and observational data used for model testing have increased the accuracy of model predictions, but substantial uncertainty remains, particularly regarding the potential for different management practices to mitigate emissions. The chapters in this volume demonstrate that both simple methods and complex models have strengths and limitations depending on stakeholder interest, scale of application, and other factors. Future improvement can be facilitated by organizing model input and testing data into web-accessible databases and by making model algorithms more available and transparent.

Synthesis and Modeling of Greenhouse Gas Emissions and Carbon Storage in Agricultural and Forest Systems to Guide Mitigation and Adaptation (Advances in Agricultural Systems Modeling)

An attractive and information-packed publication, Alfalfa Management Guide is designed especially for busy growers, with to-the-point recommendations, useful images of diseased plants and pests, and quick-reference tables and charts. This edition covers the latest strategies for alfalfa establishment, production, and harvest soil testing, fertilizing, integrated pest management, rotation, and more.

Alfalfa Management Guide (ASA, CSSA, and SSSA Books)

Engineering & Transportation

Engineering

Understanding how crops will respond to climate change is essential to agriculture s ability to adapt and have the greatest probability of continuing to meet societal needs. Crop model intercomparison and improvement are required to advance understanding of the impact of future climate change on crop growth and yield. Initial efforts undertaken in the Agriculture Model Intercomparison and Improvement Project (AgMIP) led to several observations where crop models were not adequately simulating growth and development. Enhanced efforts are required to quantify the carbon dioxide × temperature × water interactions in plant growth and yield. This volume in the Advances in Agricultural Systems Modeling series presents progress in that area, with experimental observations across crops, simulation modeling outcomes, and future challenges in improving crop simulation models.

Improving Modeling Tools to Assess Climate Change Effects on Crop Response (Advances in Agricultural Systems Modeling)

Hatfield, Jerry L.

Fleisher, David

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