This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis. For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way there is an introduction to: important principles in model selection; adaptations of the model to handle non-linearity and cyclical variables; dependence due to structured correlation in time, space or phylogeny; and design-based techniques for inference that can relax some of the modelling assumptions. It concludes with a range of advanced topics in model-based multivariate analysis relevant to the modern ecologist, including fourth corner, latent variable and copula models. Examples span a variety of applications including environmental monitoring, species distribution modeling, global-scale surveys of plant traits, and small field experiments on biological controls. Math Boxes throughout the book explain some of the core ideas mathematically for readers who want to delve deeper, and R code is used throughout. Accompanying code, data, and solutions to exercises can be found in the ecostats R package on CRAN.

A rich set of protocols for the process of assessing the ecological make-up of the land so as to guide environmental decision-making.

This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in the book.

This engaging volume explores the management of fire in one of the world’s most flammable landscapes: Australia’s tropical savannas, where on average 18% of the landscape is burned annually. Impacts have been particularly severe in the Arnhem Land Plateau, a centre of plant and animal diversity on Indigenous land. Culture, Ecology and Economy of Fire Management in North Australian Savannas documents a remarkable collaboration between Arnhem Land’s traditional landowners and the scientific community to arrest a potentially catastrophic fire-driven decline in the natural and cultural assets of the region – not by excluding fire, but by using it better through restoration of Indigenous control over burning. This multi-disciplinary treatment encompasses the history of fire use in the savannas, the post-settlement changes that altered fire patterns, the personal histories of a small number of people who lived most of their lives on the plateau and, critically, their deep knowledge of fire and how to apply it to care for country. Uniquely, it shows how such knowledge and commitment can be deployed in conjunction with rigorous formal scientific analysis, advanced technology, new cross-cultural institutions and the emerging carbon economy to build partnerships for controlling fire at scales that were, until this demonstration, thought beyond effective intervention.

An essential guide for graduates, researchers and professionals to spatial analysis and the fast-growing range of methods available.

This book deals with not just complex linkages, interactions and exchanges that form the relationship between the economic activities, human society and the ecosystems, but also the influences and impacts that each causes on the other. In recent times, this ecology–economy–society interface has received unprecedented attention within the broader environment–development discourse. The volume is in honour of Kanchan Chopra, one of the pioneers of research in these areas in India. She has recently been awarded the coveted Kenneth Boulding Award by the International Society for Ecological Economics (ISEE) and is the first Asian to receive it. The four sub-themes of the book reflect some of the important areas in the environment–development discourse — sustainability of development, institutions and environmental governance, environment and well-being, and ecosystem and conservation. Within each of the sub-themes, the policy and the practice as well as the macro and micro aspects are addressed. With contributions mainly from ecological economists and ecologists, the book’s approach is interdisciplinary, both in spirit and content, reflecting the honoree's work, which went not just beyond the mainstream ideology of economics, but also the way she listened to ideas from disciplines like ecology and sociology. The volume also includes two reflective essays on academic life and works of Kanchan Chopra. The book is a valuable resource for students, teachers, researchers, practitioners and policy makers in the areas of development economics, ecological economics, environmental economics and related disciplines such as conservation, development, ecology, economics, environment, governance, health, sociology and public policy.

A biostatistics textbook for upper undergraduate and graduate students, covering analyses used by biologists and now including R code.