Scaling in Ecology with a Model System (Monographs in Population Biology, 64)

Review\n"This engaging book is a wonderful example of how to do the kind of integrative science that the founders of ecology originally intended. Ellison and Gotelli offer the next generation of ecologists a new way to think about nature."―Oswald J. Schmitz, author of The New Ecology: Rethinking a Science for the Anthropocene\n"This unique book provides a rare and complete synthesis of research and observations on a single study system, and is a superb example of ecological thinking that blends theory and empiricism. Scaling in Ecology with a Model System is a rich introduction to ecological science for any reader."―Mary O’Connor, University of British Columbia\nA groundbreaking approach to scale and scaling in ecological theory and practice\nScale is one of the most important concepts in ecology, yet researchers often find it difficult to find ecological systems that lend themselves to its study. Scaling in Ecology with a Model System synthesizes nearly three decades of research on the ecology of Sarracenia purpurea―the northern pitcher plant―showing how this carnivorous plant and its associated food web of microbes and macrobes can inform the challenging question of scaling in ecology.\nDrawing on a wealth of findings from their pioneering lab and field experiments, Aaron Ellison and Nicholas Gotelli reveal how the Sarracenia microecosystem has emerged as a model system for experimental ecology. Ellison and Gotelli examine Sarracenia at a hierarchy of spatial scales―individual pitchers within plants, plants within bogs, and bogs within landscapes―and demonstrate how pitcher plants can serve as replicate miniature ecosystems that can be studied in wetlands throughout the United States and Canada. They show how research on the Sarracenia microecosystem proceeds much more rapidly than studies of larger, more slowly changing ecosystems such as forests, grasslands, lakes, or streams, which are more difficult to replicate and experimentally manipulate.\nScaling in Ecology with a Model System offers new insights into ecophysiology and stoichiometry, demography, extinction risk and species distribution models, food webs and trophic dynamics, and tipping points and regime shifts.

Science & Math

Gotelli, Nicholas J.

Ellison, Aaron

Biological Sciences

Princeton University Press

A groundbreaking approach to scale and scaling in ecological theory and practice Scale is one of the most important concepts in ecology, yet researchers often find it difficult to find ecological systems that lend themselves to its study. Scaling in Ecology with a Model System synthesizes nearly three decades of research on the ecology of Sarracenia purpurea--the northern pitcher plant--showing how this carnivorous plant and its associated food web of microbes and macrobes can inform the challenging question of scaling in ecology. Drawing on a wealth of findings from their pioneering lab and field experiments, Aaron Ellison and Nicholas Gotelli reveal how the Sarracenia microecosystem has emerged as a model system for experimental ecology. Ellison and Gotelli examine Sarracenia at a hierarchy of spatial scales--individual pitchers within plants, plants within bogs, and bogs within landscapes--and demonstrate how pitcher plants can serve as replicate miniature ecosystems that can be studied in wetlands throughout the United States and Canada. They show how research on the Sarracenia microecosystem proceeds much more rapidly than studies of larger, more slowly changing ecosystems such as forests, grasslands, lakes, or streams, which are more difficult to replicate and experimentally manipulate. Scaling in Ecology with a Model System offers new insights into ecophysiology and stoichiometry, demography, extinction risk and species distribution models, food webs and trophic dynamics, and tipping points and regime shifts.

Ellison, Aaron M.

A Primer of Ecological Statistics explains fundamental material in probability theory and experimental design 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 three 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). 
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.

A Primer Of Ecological Statistics

Sinauer Associates, Inc.

A Primer of Ecology, Third Edition, presents a concise but detailed exposition of the most common mathematical models in population and community ecology. It is intended to demystify ecological models and the mathematics behind them by deriving the models from first principles. The book may be used as a self-teaching tutorial by students, as a primary textbook, or as a supplemental text to a general ecology textbook. 
The Primer explains in detail basic concepts of exponential and logistic population growth, age-structured demography, metapopulation dynamics, competition, predation, island biogeography, and, in a chapter new to this edition, succession. Each chapter is carefully graded from simple material that is appropriate for beginning undergraduates to advanced material, which is suited for upper-division undergraduates and beginning graduate students. Advanced topics include environmental and demographic stochasticity, discrete population growth and chaos, stage-structured demography, intraguild predation, nonlinear predator-prey isoclines, and passive sampling. Each chapter follows the same structure: model presentation and predictions, model assumptions, model variations, empirical examples, and problems. 
Essential equations are highlighted for students' use. Intermediate algebraic "expressions" are also illustrated so that students see where the equations came from. New terms are introduced in the text in boldface type to alert students to novel concepts. The Primer contains more mathematical detail than many ecology textbooks, but avoids jargon and mathematical terminology that can intimidate students. Both simple and advanced problems are included, followed by fully worked solutions so that students can gain confidence and a better understanding of the models. Citations are kept to a minimum.

A Primer of Ecology

"I would buy this book and recommend it to my students. It is well written and accessible, putting many of the fundamental principles of ecological models within the grasp of the majority of undergraduates." - Michael Gillman, Trends in Ecology and Evolution This text teaches students essential models in population and community ecology. It explains in detail the basic concepts of exponential and logistic population growth, age-structured demography, metapopulation dynamics, competition, predation and island biogeography. Carefully graded chapters contain material for beginning undergraduates to beginning graduate students.

'A Primer of Ecology'

A Primer of Ecology, Fourth Edition, presents a concise but detailed exposition of the most common mathematical models in population and community ecology. It is intended to demystify ecological models and the mathematics behind them by deriving the models from first principles. The book may be used as a self-teaching tutorial by students, as a primary textbook, or as a supplemental text to a general ecology textbook. The Primer explains in detail basic concepts of exponential and logistic population growth, age-structured demography, metapopulation dynamics, competition, predation, island biogeography, succession, and, in a chapter new to this edition, species richness. Each chapter is carefully graded from simple material that is appropriate for beginning undergraduates to advanced material, which is suited for upper-division undergraduates and beginning graduate students. Advanced topics include environmental and demographic stochasticity, discrete population growth and chaos, stage-structured demography, intraguild predation, nonlinear predator-prey isoclines, and passive sampling. Each chapter follows the same structure: model presentation and predictions, model assumptions, model variations, empirical examples, and problems. Essential equations are highlighted for students' use. Intermediate algebraic "expressions" are also illustrated so that students see where the equations came from. New terms are introduced in the text in boldface type to alert students to novel concepts. The Primer contains more mathematical detail than many ecology textbooks, but avoids jargon and mathematical terminology that can intimidate students. Both simple and advanced problems are included, followed by fully worked solutions so that students can gain confidence and a better understanding of the models. Citations are kept to a minimum.

Sinauer Associates is an imprint of Oxford University Press

NULL MODELS IN ECOLOGY PB

Smithsonian

NULL MODELS IN ECOLOGY

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. For Students Data files and code used for some of the examples are available on the companion website. For Instructors Instructor's Resource Library This resource includes all figures (line-art illustrations and photographs) and tables from the textbook, provided as both high- and low-resolution JPEGs. All have been formatted and optimized for excellent projection quality. Also included are ready-to-use PowerPoint slides of all figures and tables.

A Primer of Ecological Statistics

See the best price to sell, buy, or rent books by Gotelli, Nicholas J.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Gotelli, Nicholas J.

See the best price to sell, buy, or rent books by Gotelli, Nicholas J.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Scaling in Ecology with a Model System (Monographs in Population Biology, 64)

Scaling in Ecology with a Model System (Monographs in Population Biology, 64)

A Primer Of Ecological Statistics

A Primer of Ecology

'A Primer of Ecology'

A Primer of Ecology

A Primer of Ecology

NULL MODELS IN ECOLOGY PB

NULL MODELS IN ECOLOGY

A Primer of Ecological Statistics