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An essential guide to quantitative research methods in ecology and conservation biology, accessible for even the most math-averse student or professional. Quantitative research techniques have become increasingly important in ecology and conservation biology, but the sheer breadth of methods that must be understood—from population modeling and probabilistic thinking to modern statistics, simulation, and data science—and a lack of computational or mathematics training have hindered quantitative literacy in these fields. In this book, ecologist Justin Kitzes addresses those challenges for students and practicing scientists alike. Requiring only basic algebra and the ability to use a spreadsheet, Handbook of Quantitative Ecology is designed to provide a practical, intuitive, and integrated introduction to widely used quantitative methods. Kitzes builds each chapter around a specific ecological problem and arrives, step by step, at a general principle through the process of solving that problem. Grouped into five broad categories—difference equations, probability, matrix models, likelihood statistics, and other numerical methods—the book introduces basic concepts, starting with exponential and logistic growth, and helps readers to understand the field’s more advanced subjects, such as bootstrapping, stochastic optimization, and cellular automata. Complete with online solutions to all numerical problems, Kitzes’s Handbook of Quantitative Ecology is an ideal coursebook for both undergraduate and graduate students of ecology, as well as a useful and necessary resource for mathematically out-of-practice scientists.
Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overview of ecological network analysis including generating processes, the relationship between structure and dynamic function, and statistics and models for these networks. Starting with a general introduction to the composition of networks and their characteristics, it includes details on such topics as measures of network complexity, applications of spectral graph theory, how best to include indirect species interactions, and multilayer, multiplex and multilevel networks. Graduate students and researchers who want to develop and understand ecological networks in their research will find this volume inspiring and helpful. Detailed guidance to those already working in network ecology but looking for advice is also included.
A STUDY OF PLANTS-CLIMATE AND THE IMPACTS OF CHANGE UPON VEGETATION.
Primarily written for non-mathematically inclined biologist.
A follow-up to the highly successful first edition, this book reviews the manifold ways that scale influences the interpretation of ecological variation. As scale, magnitude, quantity, and measurement occupy an expanding role in ecology, this 2e will be an indispensable addition to individual and institutional libraries. In providing a context for resolution of ecological problems, ecologists will appreciate the significance of scale and magnitude addressed in this book. Written for advanced undergraduates, graduate students, and faculty researchers, this book synthesizes a burgeoning literature on the influences of scale. - Expanded by numerous explanatory figures and wide coverage of material - Topic is of crucial importance to ecologists - The most thorough, complete coverage available on quantitative ecology in the market
Provides an essential introduction to modeling terrestrial ecosystems in Earth system models for graduate students and researchers.
Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. A well-trained ecologist now needs to evaluate evidence generated from complex quantitative methods, and to apply these methods in their own research. Yet the existing books and academic coursework are not adequately serving most of the potential audience - instead they cater to the specialists who wish to focus on either mathematical or statistical aspects, and overwhelmingly appeal to those who already have confidence in their quantitative skills. At the same time, many texts lack an explicit emphasis on the epistemology of quantitative techniques. That is, how do we gain understanding about the real world from models that are so vastly simplified? This accessible textbook introduces quantitative ecology in a manner that aims to confront these limitations and thereby appeal to a far wider audience. It presents material in an informal, approachable, and encouraging manner that welcomes readers with any degree of confidence and prior training. It covers foundational topics in both mathematical and statistical ecology before describing how to implement these concepts to choose, use, and analyse models, providing guidance and worked examples in both spreadsheet format and R. The emphasis throughout is on the skilful interpretation of models to answer questions about the natural world. Introduction to Quantitative Ecology is suitable for advanced undergraduate students and incoming graduate students, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world ecology, conservation, and resource management scenarios.
Over millions of years, terrestrial plants have competed for limited resources, defended themselves against herbivores, and resisted a myriad of environmental stresses. These struggles have helped generate more than a quarter million terrestrial plant species, each possessing a unique strategy for success. Yet, as Resource Strategies of Wild Plants demonstrates, the constraints on plant growth are universal enough that a few survival strategies hold true for all seed-producing plants. This book describes the five major strategies of growth for terrestrial plants, details how plants succeed when resources are scarce, delves into the history of research into plant strategies, and resets the foundational understanding of ecological processes. Drawing from recent findings in plant-herbivore interactions, ecosystem ecology, and evolutionary ecology, Joseph Craine explains how plants attain available nutrients, withstand the immense stresses of drying soils, and flourish in the race for light. He shows that the competition for resources has shaped plant evolution in newly discovered ways, while the scarcity of such resources has affected how plants interact with herbivores, wind, fire, and frost. An understanding of the major resource strategies of wild plants remains central to learning about the ecology of plant communities, global changes in the biosphere, methods for species conservation, and the evolution of life on earth.
Organization and growth. Growth and environment. Problems of mensuration. Experimental techniques. Preliminary phase. Principles of experimental design. Selection of experimental plants. Measurement and control of the aerial environment. Measurement and control of the root environment. Harvest. Measurement of respiration. Analysis of data. History and development of the mam analytical concepts. First analysis of harvest data. Relative groeth rate. The computation of unit leaf rate. A first look at the effects of specific environmental changes. Leaf weight ratio - productive investment. Specific leaf area. Problems posed by the growing plant.