This book demonstrates that long-term experimentation and monitoring are vitally important in understanding changes that are occurring in the environment and the way they interact with agriculture and natural ecosystems. Chapters are based on papers presented at a conference held in July 1993, to celebrate the 150th anniversary of Rothamsted Experimental Station. During these 150 years of agricultural research a unique set of field experiments have run continuously for all or most of that time. These experiments, originally set up to study the nutrient requirements of arable crops, now provide a unique resource that is relevant to sustainability, environmental impact and climatic change. The book consists of 22 chapters and covers a wide range of topics including descriptions of various long-term experiments in the USA, Australia, Eastern Europe and Africa, as well as studies at Rothamsted. It will interest a very wide range of readers in agronomy, soil science, forestry, ecology and environmental science.

Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

The contribution of long-term experiments to agriculture and forestry; Current needs for long-term experiments in the development of agriculture; Monitoring long-term ecosystems, population dynamics and environmental change.

Long-Term Farming Systems Research: Ensuring Food Security in Changing Scenarios presents the legacy and heritage of Long-Term Experiments (LTEs) in Agriculture while also addressing the challenges and potential solutions. The book discusses how LTEs form an important asset in understanding agriculture's significant influence on life on earth. As global governments and development agencies try to achieve the Global Sustainable Development Goals (SDGs) of the United Nations, this book's content is of unprecedented importance, providing insights into the interactions of agricultural production with ecological, economic and societal aspects. In this regard, this book offers a thorough resource of information based on experiences from various ongoing LTEs in different parts of the world. The contextual variety and geographic diversity presented in this book makes it useful for agricultural and environmental scientists, as well as students and educators in such fields. --- From the Editors: "Thanks to the excellent panel of our contributing authors, in this book, we have attempted to offer the widest possible thematic and geographical coverage on LTEs. Experts from different institutions leading LTEs across the globe have provided their perspectives on different aspects of LTEs, not only highlighting the unique knowledge contribution of LTEs, but also discussing the unique challenges of effectively managing LTEs and maintaining their relevance to changing scenarios. We hope that this book will offer something for everyone interested in the history, present and future of our agroecosystem." - Provides a comprehensive resource of information generated in various LTEs across the globe, with a focus on various aspects of farming systems, crop management practices, plant, soil and human nutrition as well as on capacity development - Presents a holistic view on interactions of agricultural production and its relationship to the environment and society - Identifies challenges and lessons learned from different LTEs and provides recommendations for potential solutions

Scientists have long sought to unravel the fundamental mysteries of the land, life, water, and air that surround us. But as the consequences of humanity's impact on the planet become increasingly evident, governments are realizing the critical importance of understanding these environmental systemsâ€"and investing billions of dollars in research to do so. To identify high-priority environmental science projects, Grand Challenges in Environmental Sciences explores the most important areas of research for the next generation. The book's goal is not to list the world's biggest environmental problems. Rather it is to determine areas of opportunity thatâ€"with a concerted investmentâ€"could yield significant new findings. Nominations for environmental science's "grand" challenges were solicited from thousands of scientists worldwide. Based on their responses, eight major areas of focus were identifiedâ€"areas that offer the potential for a major scientific breakthrough of practical importance to humankind, and that are feasible if given major new funding. The book further pinpoints four areas for immediate action and investment.

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.