´To read Being Ecological is to be caught up in a brilliant display of intellectual pyrotechnics´ P.D.Smith, GuardianWhy is everything we think we know about ecology wrong?Is there really any difference between ´humans´ and ´nature´?Does this mean we even have a future?Don´t care about ecology? This book is for you. Timothy Morton, who has been called ´Our most popular guide to the new epoch´ (Guardian), sets out to show us that whether we know it or not, we already have the capacity and the will to change the way we understand the place of humans in the world, and our very understanding of the term ´ecology´. A cross-disciplinarian who has collaborated with everyone from Bjoerk to Hans Ulrich Obrist, Morton is also a member of the object-oriented philosophy movement, a group of forward-looking thinkers who are grappling with modern-day notions of subjectivity and objectivity, while also offering fascinating new understandings of Heidegger and Kant. Calling the volume a book containing ´no ecological facts´, Morton confronts the ´information dump´ fatigue of the digital age, and offers an invigorated approach to creating a liveable future.
Argues that various forms of life are connected in a vast, entangling mesh and this interconnectedness penetrates different dimensions of life. This title investigates the profound philosophical, political, and aesthetic implications of the fact that these life forms are interconnected.
Ecological engineering involves the design, construction and management of ecosystems that have value to both humans and the environment. It is a rapidly developing discipline that provides a promising technology to solve environmental problems. Ecological Engineering covers the basic theory of ecological engineering as well as the application of these principles in environmental management. Based on content from the well-respected Encyclopedia of Ecology (published in 2008), this volume has an international focus and covers a range of ecosystems; The authors examine the implications of ecological engineering and the goals of restoring ecosystems that have been substantially disturbed by human activity and developing new sustainable ecosystems.
A Primer of Ecological Statistics , Second Edition explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists. The book emphasizes a general introduction to probability theory and provides a detailed discussion of specific designs and analyses that are typically encountered in ecology and environmental science. Appropriate for use as either a stand-alone or supplementary text for upper-division undergraduate or graduate courses in ecological and environmental statistics, ecology, environmental science, environmental studies, or experimental design, the Primer also serves as a resource for environmental professionals who need to use and interpret statistics daily but have little or no formal training in the subject. The book is divided into four parts. Part I discusses the fundamentals of probability and statistical thinking. It introduces the logic and language of probability (Chapter 1), explains common statistical distributions used in ecology (Chapter 2) and important measures of central tendency and spread (Chapter 3), explains P-values, hypothesis testing, and statistical errors (Chapter 4), and introduces frequentist, Bayesian, and Monte Carlo methods of analysis (Chapter 5). Part II discusses how to successfully design and execute field experiments and sampling studies. Topics include design strategies (Chapter 6), a ´bestiary´ of experimental designs (Chapter 7), and transformations and data management (Chapter 8). Part III discusses specific analyses, and covers the material that is the main core of most statistics texts. Topics include regression (Chapter 9), analysis of variance (Chapter 10), categorical data analysis (Chapter 11), and multivariate analysis (Chapter 12). Part IV-new to this edition-discusses two central topics in estimating important ecological metrics. Topics include quantification of biological diversity (Chapter 13) and estimating occupancy, detection probability, and population sizes from marked and unmarked populations (Chapter 14). The book includes a comprehensive glossary, a mathematical appendix on matrix algebra, and extensively annotated tables and figures. Footnotes introduce advanced and ancillary material: some are purely historical, others cover mathematical/statistical proofs or details, and still others address current topics in the ecological literature. Data files and code used for some of the examples, as well as errata, are available online.
As we know, rapid industrialization is a serious concern in the context of a healthy environment. Various physico-chemical and biological approaches for the removal of toxic pollutants are available, but unfortunately these are not very effective. Biological approaches using microorganisms (bacterial/fungi/algae), green plants or their enzymes to degrade/detoxify environmental contaminants such as endocrine disrupting chemicals, toxic metals, pesticides, dyes, petroleum hydrocarbons and phenolic compounds are eco-friendly and low cost. This book provides a much-needed, comprehensive overview of the various types of contaminants, their toxicological effects on the environment, humans, animals and plants as well as various eco-friendly approaches for their management (degradation/detoxification). As such it is a valuable resource for a wide range of students, scientists and researchers in microbiology, biotechnology, environmental sciences.
Perspectives in Ecological Theory:
Ecological Census Techniques:A Handbook
Ecological Networks in the Tropics:An Integrative Overview of Species Interactions from Some of the Most Species-Rich Habitats on Earth
The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological data Relates ecological questions to methods of statistical analysis, with a clear description of complex numerical methods All methods are illustrated by examples from the ecological literature so that ecologists clearly see how to use the methods and approaches in their own research All calculations are available in R language functions