Download or read book Online Ecological and Environmental Data written by Virginia Ann Baldwin and published by Routledge. This book was released on 2014-06-23 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover important Internet resources for research data made public individually and collectively by researchers from a variety of entities in the fields of environmental studies and ecology Online Ecological and Environmental Data explores innovative projects from a diverse array of institutions that have made environmental and ecological research information freely available online. You will find a wealth of Web site listings with URLs and complete descriptions, data field descriptions, controlled vocabulary examples, and Web screen shots that demonstrate how to use a specific site. The book will help you locate the data, procedures, instruments, notes, and other descriptive information that scientists and engineers need for replicating and building on the research of others. With Online Ecological and Environmental Data, you'll gain a better understanding of: * the cooperative design, development, and management of interdisciplinary data * cataloging multidisciplinary environmental data * data networking * new developments in information science and technology * extracting and compiling data * the convergence and dissemination of information via the Internet This unique resource explores the potential of distributing actual research data on the Web. The information you'll find in this book will enable science and technology librarians to provide effective access to library patrons. Online Ecological and Environmental Data will give librarians and other information specialists—as well as faculty and students in library sciences and technology—cutting-edge knowledge to meet the global data and information needs of the scientific community. The projects described in this book can serve as models for other disciplines, especially for the various aspects of handling data made available online, and for making this data more available and usable on the Internet for researchers and students.
Download or read book Ecological Data written by William K. Michener and published by John Wiley & Sons. This book was released on 2009-04-01 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecologists are increasingly tackling difficult issues like global change, loss of biodiversity and sustainability of ecosystem services. These and related topics are enormously challenging, requiring unprecedented multidisciplinary collaboration and rapid synthesis of large amounts of diverse data into information and ultimately knowledge. New sensors, computers, data collection and storage devices and analytical and statistical methods provide a powerful tool kit to support analyses, graphics and visualizations that were unthinkable even a few years ago. New and increased emphasis on accessibility, management, processing and sharing of high-quality, well-maintained and understandable data represents a significant change in how scientists view and treat data. These issues are complex and despite their importance, are typically not addressed in database, ecological and statistical textbooks. This book addresses these issues, providing a much needed resource for those involved in designing and implementing ecological research, as well as students who are entering the environmental sciences. Chapters focus on the design of ecological studies, data management principles, scientific databases, data quality assurance, data documentation, archiving ecological data and information and processing data into information and knowledge. The book stops short of a detailed treatment of data analysis, but does provide pointers to the relevant literature in graphics, statistics and knowledge discovery. The central thesis of the book is that high quality data management systems are critical for addressing future environmental challenges. This requires a new approach to how we conduct ecological research, that views data as a resource and promotes stewardship, recycling and sharing of data. Ecological Data will be particularly useful to those ecologists and information specialists that actively design, manage and analyze environmental databases. However, it will also benefit a wider audience of scientists and students in the ecological and environmental sciences.
Download or read book Our Ecological Footprint written by Mathis Wackernagel and published by New Society Publishers. This book was released on 1998-07-01 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our Ecological Footprint presents an internationally-acclaimed tool for measuring and visualizing the resources required to sustain our households, communities, regions and nations, converting the seemingly complex concepts of carrying capacity, resource-use, waste-disposal and the like into a graphic form that everyone can grasp and use. An excellent handbook for community activists, planners, teachers, students and policy makers.
Download or read book Handbook of Environmental and Ecological Statistics written by Alan E. Gelfand and published by CRC Press. This book was released on 2019-01-15 with total page 876 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
Download or read book Effective Ecological Monitoring written by Gene Likens and published by CSIRO PUBLISHING. This book was released on 2018-05-01 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Long-term monitoring programs are fundamental to understanding the natural environment and managing major environmental problems. Yet they are often done very poorly and ineffectively. This second edition of the highly acclaimed Effective Ecological Monitoring describes what makes monitoring programs successful and how to ensure that long-term monitoring studies persist. The book has been fully revised and updated but remains concise, illustrating key aspects of effective monitoring with case studies and examples. It includes new sections comparing surveillance-based and question-based monitoring, analysing environmental observation networks, and provides examples of adaptive monitoring. Based on the authors’ 80 years of collective experience in running long-term research and monitoring programs, Effective Ecological Monitoring is a valuable resource for the natural resource management, ecological and environmental science and policy communities.
Download or read book Ecological Footprint written by Mathis Wackernagel and published by New Society Publishers. This book was released on 2019-09-03 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only metric that tracks how much nature we have – and how much nature we use Ecological Footprint accounting, first introduced in the 1990s and continuously developed, continues to be the only metric that compares overall human demand on nature with what our planet can renew — its biocapacity — and distils this into one number: how many Earths we use. Our economy is running a Bernie Madoff-style Ponzi scheme with the planet. We use future resources to run the present, using more than Earth can replenish. Like any such scheme, this works for a limited time, followed by a crash. Avoiding ecological bankruptcy requires rigorous resource accounting — a challenging task, but doable with the right tools. Ecological Footprint provides a complete introduction, covering: Footprint and biocapacity accounting Data and key findings for nations Worldwide examples including businesses, cities, and countries Strategies for creating regenerative economies Whether you’re a student, business leader, future-oriented city planner, economist, or have an abiding interest in humanity’s future, Footprint and biocapacity are key parameters to be reckoned with and Ecological Footprint is your essential guide. AWARDS SILVER | 2020 Eric Zencey Prize SILVER | 2019 Nautilus Book Awards: Ecology & Environment FINALIST | 2019 Foreword INDIES: Ecology & Environment
Download or read book Ecological Informatics written by Friedrich Recknagel and published by Springer Science & Business Media. This book was released on 2002-12-11 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The book provides an introduction to the scope, concepts and techniques of this newly emerging discipline. It illustrates numerous applications of Ecological Informatics for stream systems, river systems, freshwater lakes and marine systems as well as image recognition at micro and macro scale. Case studies focus on applications of artificial neural networks, genetic algorithms, fuzzy logic and adaptive agents to current ecological management issues such as toxic algal blooms, eutrophication, habitat degradation, conservation of biodiversity and sustainable fishery.
Download or read book Ecological Models and Data in R written by Benjamin M. Bolker and published by Princeton University Press. This book was released on 2008-07-21 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.
Download or read book Data Analysis in Community and Landscape Ecology written by R. H. Jongman and published by Cambridge University Press. This book was released on 1995-03-02 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological data has several special properties: the presence or absence of species on a semi-quantitative abundance scale; non-linear relationships between species and environmental factors; and high inter-correlations among species and among environmental variables. The analysis of such data is important to the interpretation of relationships within plant and animal communities and with their environments. In this corrected version of Data Analysis in Community and Landscape Ecology, without using complex mathematics, the contributors demonstrate the methods that have proven most useful, with examples, exercises and case-studies. Chapters explain in an elementary way powerful data analysis techniques such as logic regression, canonical correspondence analysis, and kriging.
Download or read book Numerical Ecology with R written by Daniel Borcard and published by Springer. This book was released on 2018-03-19 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists. It provides a bridge between a textbook of numerical ecology and the implementation of this discipline in the R language. The book begins by examining some exploratory approaches. It proceeds logically with the construction of the key building blocks of most methods, i.e. association measures and matrices, and then submits example data to three families of approaches: clustering, ordination and canonical ordination. The last two chapters make use of these methods to explore important and contemporary issues in ecology: the analysis of spatial structures and of community diversity. The aims of methods thus range from descriptive to explanatory and predictive and encompass a wide variety of approaches that should provide readers with an extensive toolbox that can address a wide palette of questions arising in contemporary multivariate ecological analysis. The second edition of this book features a complete revision to the R code and offers improved procedures and more diverse applications of the major methods. It also highlights important changes in the methods and expands upon topics such as multiple correspondence analysis, principal response curves and co-correspondence analysis. New features include the study of relationships between species traits and the environment, and community diversity analysis. This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. Users are invited to use this book as a teaching companion at the computer. All the necessary data files, the scripts used in the chapters, as well as extra R functions and packages written by the authors of the book, are available online (URL: http://adn.biol.umontreal.ca/~numericalecology/numecolR/).
Download or read book Statistics for Ecologists Using R and Excel written by Mark Gardener and published by Pelagic Publishing Ltd. This book was released on 2017-01-16 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs. Statistical approaches covered include: data exploration; tests for difference – t-test and U-test; correlation – Spearman’s rank test and Pearson product-moment; association including Chi-squared tests and goodness of fit; multivariate testing using analysis of variance (ANOVA) and Kruskal–Wallis test; and multiple regression. Key skills taught in this book include: how to plan ecological projects; how to record and assemble your data; how to use R and Excel for data analysis and graphs; how to carry out a wide range of statistical analyses including analysis of variance and regression; how to create professional looking graphs; and how to present your results. New in this edition: a completely revised chapter on graphics including graph types and their uses, Excel Chart Tools, R graphics commands and producing different chart types in Excel and in R; an expanded range of support material online, including; example data, exercises and additional notes & explanations; a new chapter on basic community statistics, biodiversity and similarity; chapter summaries and end-of-chapter exercises. Praise for the first edition: This book is a superb way in for all those looking at how to design investigations and collect data to support their findings. – Sue Townsend, Biodiversity Learning Manager, Field Studies Council [M]akes it easy for the reader to synthesise R and Excel and there is extra help and sample data available on the free companion webpage if needed. I recommended this text to the university library as well as to colleagues at my student workshops on R. Although I initially bought this book when I wanted to discover R I actually also learned new techniques for data manipulation and management in Excel – Mark Edwards, EcoBlogging A must for anyone getting to grips with data analysis using R and excel. – Amazon 5-star review It has been very easy to follow and will be perfect for anyone. – Amazon 5-star review A solid introduction to working with Excel and R. The writing is clear and informative, the book provides plenty of examples and figures so that each string of code in R or step in Excel is understood by the reader. – Goodreads, 4-star review
Download or read book Environmental and Ecological Statistics with R written by Song S. Qian and published by CRC Press. This book was released on 2016-11-03 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, parameter estimation, and model evaluation. It includes many examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment, and using several core examples throughout the book, the author illustrates the iterative nature of statistical inference. The book starts with a description of commonly used statistical assumptions and exploratory data analysis tools for the verification of these assumptions. It then focuses on the process of building suitable statistical models, including linear and nonlinear models, classification and regression trees, generalized linear models, and multilevel models. It also discusses the use of simulation for model checking, and provides tools for a critical assessment of the developed models. The second edition also includes a complete critique of a threshold model. Environmental and Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development, it eases the transition from scientific hypothesis to statistical model.
Download or read book Pattern and Process in Macroecology written by Kevin Gaston and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues of scale have become increasingly important to ecologists. This book addresses the structure of regional (large-scale) ecological assemblages or communities, and the influence this has at a local (small-scale) level. This macroecological perspective is essential for the broader study of ecology because the structure and function of local communities cannot be properly understood without reference to the region in which they are situated. The book reviews and synthesizes the issues of current importance in macroecology, providing a balanced summary of the field that will be useful for biologists at advanced undergraduate level and above. These general issues are illustrated by frequent reference to specific well-studied local and regional assemblages -- an approach that serves to relate the macroecological perspective (which is perhaps often difficult to comprehend) to the everyday experience of local sites. Macroecology is an expanding and dynamic discipline. The broad aim of the book is to promote an understanding of why it is such an important part of the wider program of research into ecology. Summarises the current macroecological literature. Provides numerous examples of key patterns. Explicitly links local and regional scale processes. Exploits detailed knowledge of one species assemblage to explore broad issues in the structuring of biodiversity.
Download or read book Environmental Geochemistry written by Benedetto DeVivo and published by Elsevier. This book was released on 2017-09-18 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental Geochemistry: Site Characterization, Data Analysis and Case Histories, Second Edition, reviews the role of geochemistry in the environment and details state-of-the-art applications of these principles in the field, specifically in pollution and remediation situations. Chapters cover both philosophy and procedures, as well as applications, in an array of issues in environmental geochemistry including health problems related to environment pollution, waste disposal and data base management. This updated edition also includes illustrations of specific case histories of site characterization and remediation of brownfield sites. - Covers numerous global case studies allowing readers to see principles in action - Explores the environmental impacts on soils, water and air in terms of both inorganic and organic geochemistry - Written by a well-respected author team, with over 100 years of experience combined - Includes updated content on: urban geochemical mapping, chemical speciation, characterizing a brownsfield site and the relationship between heavy metal distributions and cancer mortality
Download or read book Multivariate Analysis of Ecological Data Using CANOCO written by Jan Lepš and published by Cambridge University Press. This book was released on 2003-05-29 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of contents
Download or read book Applied Ecology and Environmental Management written by Edward I. Newman and published by John Wiley & Sons. This book was released on 2008-04-30 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains ways that ecological science can be applied to solving some of the most crucial problems facing our world today. A major theme is how resources can be effectively managed and exploited in as near a sustainable manner as possible. The author draws together, in a single volume, major topics in environmental and resource management that have traditionally been dispersed among several different books. Applied Ecology starts with an analysis of our planet's basic natural resources - energy, water and soil; it moves on to the management of biological resources - fish, grazing lands and forests, and then to pest control and pollution. Finally, the book tackles conservation and management of wild species and the restoration of ecological communities. The second edition of this text has been radically redesigned and rewritten. Each chapter starts with a list of questions, setting out the various fundamental problems to be considered. Interwoven with these practical problems is a clear explanation of the underlying basic science - ecology - studied at scales ranging from global, landscape and ecosystem, down to the population and individual (and even their physiology and genetics). The science is illustrated by examples from every major geographic area of the world. This book is aimed primarily at undergraduate students taking courses in applied ecology, environmental science, environmental management and natural resources management. The author has extensive experience as a university teacher. Like his lectures, this book is scientifically rigorous yet clear and easy to understand. Draws together major topics in environmental and resource management, usually dispersed over many separate books. Questions, summaries and clearly structured chapters enhance usability. Emphasis on clarity and accessibility. Based on a proven and successful course.
Download or read book Ecological Forecasting written by Michael C. Dietze and published by Princeton University Press. This book was released on 2017-05-30 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative and accessible introduction to the concepts and tools needed to make ecology a more predictive science Ecologists are being asked to respond to unprecedented environmental challenges. How can they provide the best available scientific information about what will happen in the future? Ecological Forecasting is the first book to bring together the concepts and tools needed to make ecology a more predictive science. Ecological Forecasting presents a new way of doing ecology. A closer connection between data and models can help us to project our current understanding of ecological processes into new places and times. This accessible and comprehensive book covers a wealth of topics, including Bayesian calibration and the complexities of real-world data; uncertainty quantification, partitioning, propagation, and analysis; feedbacks from models to measurements; state-space models and data fusion; iterative forecasting and the forecast cycle; and decision support. Features case studies that highlight the advances and opportunities in forecasting across a range of ecological subdisciplines, such as epidemiology, fisheries, endangered species, biodiversity, and the carbon cycle Presents a probabilistic approach to prediction and iteratively updating forecasts based on new data Describes statistical and informatics tools for bringing models and data together, with emphasis on: Quantifying and partitioning uncertainties Dealing with the complexities of real-world data Feedbacks to identifying data needs, improving models, and decision support Numerous hands-on activities in R available online
