Graph theory can be applied to ecological questions in many ways, and more insights can be gained by expanding the range of graph theoretical concepts applied to a specific system. But how do you know which methods might be used? And what do you do with the graph once it has been obtained? This book provides a broad introduction to the application of graph theory in different ecological systems, providing practical guidance for researchers in ecology and related fields. Readers are guided through the creation of an appropriate graph for the system being studied, including the application of spatial, spatio-temporal, and more abstract structural process graphs. Simple figures accompany the explanations to add clarity, and a broad range of ecological phenomena from many ecological systems are covered. This is the ideal book for graduate students and researchers looking to apply graph theoretical methods in their work.
It is being increasingly recognised that cultural and biological diversity are deeply linked and that conservation programmes should take into account the ethical, cultural and spiritual values of nature. With contributions from a range of scholars, practitioners and spiritual leaders from around the world, this book provides new insights into biocultural diversity conservation. It explores sacred landscapes, sites, plants and animals from around the world to demonstrate the links between nature conservation and spiritual beliefs and traditions. Key conceptual topics are connected to case studies, as well as modern and ancient spiritual insights, guiding the reader through the various issues from fundamental theory and beliefs to practical applications. It looks forward to the biocultural agenda, providing guidelines for future research and practice and offering suggestions for improved integration of these values into policy, planning and management.
Gordon A. Fox,Simoneta Negrete-Yankelevich,Vinicio J. Sosa
Author: Gordon A. Fox,Simoneta Negrete-Yankelevich,Vinicio J. Sosa
Publisher: Oxford University Press
The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. This novel book synthesizes a number of these changes, addressing key approaches and issues that tend to be overlooked in other books such as missing/censored data, correlation structure of data, heterogeneous data, and complex causal relationships. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges. Uniquely, Ecological Statistics highlights the underlying links among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear (mixed) models, spatially or phylogenetically-structured data, and data synthesis, with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary. This user-friendly textbook will be suitable for graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented code in the R language.
While typically many approaches have been mainly mathematics focused, graph theory has become a tool used by scientists, researchers, and engineers in using modeling techniques to solve real-world problems. Graph Theory for Operations Research and Management: Applications in Industrial Engineering presents traditional and contemporary applications of graph theory in the areas of industrial engineering, management science, and applied operations research. This comprehensive collection of research introduces the useful basic concepts of graph theory in real world applications.
The book integrates approaches from mathematics, physics and computer sciences to analyse the organisation of complex networks. Every organisational principle of networks is defined, quantified and then analysed for its influences on the properties and functions of molecular, biological, ecological and social networks.
The concept and values of wilderness, along with the practice of wilderness preservation, have been under attack for the past several decades. In Rethinking Wilderness, Mark Woods responds to seven prominent anti-wilderness arguments. Woods offers a rethinking of the received concept of wilderness, developing a positive account of wilderness as a significant location for the other-than-human value-adding properties of naturalness, wildness, and freedom. Interdisciplinary in approach, the book combines environmental philosophy, environmental history, environmental social sciences, the science of ecology, and the science of conservation biology.
Prashant K Srivastava,Saumitra Mukherjee,Manika Gupta,Tanvir Islam
Author: Prashant K Srivastava,Saumitra Mukherjee,Manika Gupta,Tanvir Islam
Remote Sensing Applications in Environmental Research is the basis for advanced Earth Observation (EO) datasets used in environmental monitoring and research. Now that there are a number of satellites in orbit, EO has become imperative in today’s sciences, weather and natural disaster prediction. This highly interdisciplinary reference work brings together diverse studies on remote sensing and GIS, from a theoretical background to its applications, represented through various case studies and the findings of new models. The book offers a comprehensive range of contributions by well-known scientists from around the world and opens a new window for students in presenting interdisciplinary and methodological resources on the latest research. It explores various key aspects and offers state-of-the-art research in a simplified form, describing remote sensing and GIS studies for those who are new to the field, as well as for established researchers.
Biogeography was stuck in a "natural history phase" dominated by the collection of data, the young Princeton biologists Robert H. MacArthur and Edward O. Wilson argued in 1967. In this book, the authors developed a general theory to explain the facts of island biogeography. The theory builds on the first principles of population ecology and genetics to explain how distance and area combine to regulate the balance between immigration and extinction in island populations. The authors then test the theory against data. The Theory of Island Biogeography was never intended as the last word on the subject. Instead, MacArthur and Wilson sought to stimulate new forms of theoretical and empirical studies, which will lead in turn to a stronger general theory. Even a third of a century since its publication, the book continues to serve that purpose well. From popular books like David Quammen's Song of the Dodo to arguments in the professional literature, The Theory of Island Biogeography remains at the center of discussions about the geographic distribution of species. In a new preface, Edward O. Wilson reviews the origins and consequences of this classic book.
Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution. Examines significant questions in modern biology and their mathematical treatments Presents important mathematical concepts and tools in the context of essential biology Features material of interest to students in both mathematics and biology Presents chapters in modular format so coverage need not follow the Table of Contents Introduces projects appropriate for undergraduate research Utilizes freely accessible software for visualization, simulation, and analysis in modern biology Requires no calculus as a prerequisite Provides a complete Solutions Manual Features a companion website with supplementary resources
Ecology is in a challenging state as a scientific discipline. While some theoretical ecologists are attempting to build a definition of ecology from first principles, many others are questioning even the feasibility of a general and universal theory. At the same time, it is increasingly important that ecology is accurately and functionally defined for a generation of researchers tackling escalating environmental problems in the face of doubt and disagreement. The authors of Theory-Based Ecology have written a textbook that presents a robust, modern, and mathematically sound theory of ecology, maintaining a strong link between empirical data, models, and theory. It is firmly based in Darwinian thought, since it was Darwin who first revealed the ecological principles of the origin of species, and gave the evolution of diversity a process-based, mechanistic explanation. The authors base their synthetic theory of Darwinian ecology on seven key principles: exponential growth, growth regulation, inherited individual differences, finiteness and stochasticity, competitive exclusion, robust coexistence, and constraints and trade-offs. Within this solid conceptual framework, they integrate classic and actual empirical knowledge from ecology and evolutionary biology, clarifying methodological and mathematical detail in clear and helpful text boxes. A wealth of illustrated examples pertaining to different organisational levels (alleles, clones and species) helps to explain how the principles operate. This is an invaluable resource for graduate level students as well as professional researchers in the fields of ecology, genetics, evolutionary ecology, and mathematical biology.
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.
This pioneering work examines changes in the life and values of the English working class in response to mass media. First published in 1957, it mapped out a new methodology in cultural studies based around interdisciplinarity and a concern with how texts-in this case, mass publications-are stitched into the patterns of lived experience. Mixing personal memoir with social history and cultural critique, The Uses of Literacy anticipates recent interest in modes of cultural analysis that refuse to hide the author behind the mask of objective social scientific technique. In its method and in its rich accumulation of the detail of working-class life, this volume remains useful and absorbing. Hoggart's analysis achieves much of its power through a careful delineation of the complexities of working-class attitudes and its sensitivity to the physical and environmental facts of working-class life. The people he portrays are neither the sentimentalized victims of a culture of deference nor neo-fascist hooligans. Hoggart sees beyond habits to what habits stand for and sees through statements to what the statements really mean. He thus detects the differing pressures of emotion behind idiomatic phrases and ritualistic observances. Through close observation and an emotional empathy deriving, in part, from his own working-class background, Hoggart defines a fairly homogeneous and representative group of working-class people. Against this background may be seen how the various appeals of mass publications and other artifacts of popular culture connect with traditional and commonly accepted attitudes, how they are altering those attitudes, and how they are meeting resistance. Hoggart argues that the appeals made by mass publicists-more insistent, effective, and pervasive than in the past-are moving toward the creation of an undifferentiated mass culture and that the remnants of an authentic urban culture are being destroyed. In his introduction to this new edition, Andrew Goodwin, professor of broadcast communications arts at San Francisco State University, defines Hoggart's place among contending schools of English cultural criticism and points out the prescience of his analysis for developments in England over the past thirty years. He notes as well the fruitful links to be made between Hoggart's method and findings and aspects of popular culture in the United States.
The book presents a way to study ecosystems that is not yet available in current textbooks but is resonant with current thinking in the emerging fields of geobiology and Earth System Science. It asks and endeavours to answer the question, "what are the really fundamental characteristics of living systems that might allow them to sustain life?" The author goes on to show how the idea of fundamental ecological processes can be developed at the systems level, specifically their involvement in control and feedback mechanisms. This is not a popular science book about Gaian theory, instead it is written as a text and is directed at a predominantly scientific audience.
Pierre Taberlet,Aurélie Bonin,Lucie Zinger,Eric Coissac
Author: Pierre Taberlet,Aurélie Bonin,Lucie Zinger,Eric Coissac
Publisher: Oxford University Press
Environmental DNA (eDNA) refers to DNA that can be extracted from environmental samples (such as soil, water, feces, or air) without the prior isolation of any target organism. The analysis of environmental DNA has the potential of providing high-throughput information on taxa and functional genes in a given environment, and is easily amenable to the study of both aquatic and terrestrial ecosystems. It can provide an understanding of past or present biological communities as well as their trophic relationships, and can thus offer useful insights into ecosystem functioning. There is now a rapidly-growing interest amongst biologists in applying analysis of environmental DNA to their own research. However, good practices and protocols dealing with environmental DNA are currently widely dispersed across numerous papers, with many of them presenting only preliminary results and using a diversity of methods. In this context, the principal objective of this practical handbook is to provide biologists (both students and researchers) with the scientific background necessary to assist with the understanding and implementation of best practices and analyses based on environmental DNA.
Provides concise, yet authoritative descriptions of the most common techniques used to study wild carnivores and to conserve and manage their populations within increasingly human-dominated landscapes.
For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks. This volume is the first to present a self-contained, comprehensive overview of information-theoretic models of complex networks with an emphasis on applications. As such, it marks a first step toward establishing advanced statistical information theory as a unified theoretical basis of complex networks for all scientific disciplines and can serve as a valuable resource for a diverse audience of advanced students and professional scientists. While it is primarily intended as a reference for research, the book could also be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others.
Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays, first published in 2004, offers many important contributions to the study of ecological inference.