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Author : Clarence Lehman,Shelby Loberg,Adam Clark
Publisher : Unknown
Page : 128 pages
File Size : 51,8 Mb
Release : 2019
Category : Biology
ISBN : OCLC:1319299728
Author : Justin Kitzes
Publisher : University of Chicago Press
Page : 174 pages
File Size : 53,7 Mb
Release : 2022-08-16
Category : Nature
ISBN : 9780226818337
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.
Author : Otso Ovaskainen,Henrik Johan de Knegt,Maria del Mar Delgado
Publisher : Oxford University Press
Page : 352 pages
File Size : 40,7 Mb
Release : 2016-09-01
Category : Science
ISBN : 9780191024221
This novel, interdisciplinary text achieves an integration of empirical data and theory with the aid of mathematical models and statistical methods. The emphasis throughout is on spatial ecology and evolution, especially on the interplay between environmental heterogeneity and biological processes. The book provides a coherent theme by interlinking the modelling approaches used for different subfields of spatial ecology: movement ecology, population ecology, community ecology, and genetics and evolutionary ecology (each being represented by a separate chapter). Each chapter starts by describing the concept of each modelling approach in its biological context, goes on to present the relevant mathematical models and statistical methods, and ends with a discussion of the benefits and limitations of each approach. The concepts and techniques discussed throughout the book are illustrated throughout with the help of empirical examples. This is an advanced text suitable for any biologist interested in the integration of empirical data and theory in spatial ecology/evolution through the use of quantitative/statistical methods and mathematical models. The book will also be of relevance and use as a textbook for graduate-level courses in spatial ecology, ecological modelling, theoretical ecology, and statistical ecology.
Author : Timothy E. Essington
Publisher : Oxford University Press
Page : 321 pages
File Size : 53,8 Mb
Release : 2021-09-30
Category : Science
ISBN : 9780192655448
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.
Author : David C. Schneider
Publisher : Academic Press
Page : 432 pages
File Size : 52,7 Mb
Release : 2009-07-20
Category : Science
ISBN : 0080925642
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
Author : Robert W. Poole
Publisher : McGraw-Hill Companies
Page : 552 pages
File Size : 51,7 Mb
Release : 1974
Category : Science
ISBN : UCSD:31822013042668
Primarily written for non-mathematically inclined biologist.
Author : David C. Schneider
Publisher : Elsevier
Page : 395 pages
File Size : 50,6 Mb
Release : 1994-06-17
Category : Science
ISBN : 9780080925639
Quantitative Ecology reviews the manifold ways that scale influences the interpretation of ecological variation. Ecologists recognize the significance of scale and magnitude in providing a context for resolution of ecological problems. Written for advanced undergraduates, graduate students, and faculty researchers, this book synthesizes a burgeoning literature on the influences of scale. As scale, magnitude, quantity, and measurement occupy an expanding role in ecology, Quantitative Ecology will be an indispensable addition to individual and institutional libraries.
Author : Jason Matthiopoulos
Publisher : John Wiley & Sons
Page : 501 pages
File Size : 45,7 Mb
Release : 2011-04-25
Category : Mathematics
ISBN : 9780470699799
Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised that they need this opportunity. The text is addressed to readers who haven't used mathematics since school, who were perhaps more confused than enlightened by their undergraduate lectures in statistics and who have never used a computer for much more than word processing and data entry. From this starting point, it slowly but surely instils an understanding of mathematics, statistics and programming, sufficient for initiating research in ecology. The book’s practical value is enhanced by extensive use of biological examples and the computer language R for graphics, programming and data analysis. Key Features: Provides a complete introduction to mathematics statistics and computing for ecologists. Presents a wealth of ecological examples demonstrating the applied relevance of abstract mathematical concepts, showing how a little technique can go a long way in answering interesting ecological questions. Covers elementary topics, including the rules of algebra, logarithms, geometry, calculus, descriptive statistics, probability, hypothesis testing and linear regression. Explores more advanced topics including fractals, non-linear dynamical systems, likelihood and Bayesian estimation, generalised linear, mixed and additive models, and multivariate statistics. R boxes provide step-by-step recipes for implementing the graphical and numerical techniques outlined in each section. How to be a Quantitative Ecologist provides a comprehensive introduction to mathematics, statistics and computing and is the ideal textbook for late undergraduate and postgraduate courses in environmental biology. "With a book like this, there is no excuse for people to be afraid of maths, and to be ignorant of what it can do." —Professor Tim Benton, Faculty of Biological Sciences, University of Leeds, UK
Author : G. Patil,M. L. Rosenzweig (eds.)
Publisher : Unknown
Page : 695 pages
File Size : 52,7 Mb
Release : 1979
Category : Electronic
ISBN : 0899740006
Author : Timothy Essington
Publisher : Unknown
Page : 304 pages
File Size : 53,9 Mb
Release : 2021
Category : Ecology
ISBN : 0191926116
Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. This accessible textbook introduces quantitative ecology in a manner that aims to confront the limitations of the current literature and thereby appeal to a far wider audience.
Author : M.R. Rose
Publisher : Springer Science & Business Media
Page : 213 pages
File Size : 41,9 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789401165617
This is an inadvertent book, though it did arise naturally enough from a course I give in theoretical ecology. But I wouldn't have given the course at all if one colleague in my department hadn't left for a leave of absence, while another abruptly resigned. This propelled me to the fore where this teaching responsibility was concerned, one I had never had any intention of discharging. Then it turned out that one of my students was regularly unable to make half the classes. As a result, I began giving him my lecture notes each week. As I knew that someone else would be reading them, I began to write my notes more carefully. Naturally enough, the other students soon began to demand the notes too. Eventually they were indulged. Thus I found myself writing a textbook manuscript. By the next year, the students were handed all their notes in one package at the outset. But these were still just hand-written. Inevitably, the demand that they be typed arose. This I didn't want to do until I found a publisher. As it turned out, Tim Hardwick of Croom Helm was willing to have his firm fill this role, to my great satisfaction. • and his considerable frustration. I have been a desultory author about producing this final text, and can only express my gratitude for his enduring patience over more than 18 months of delays.
Author : Otso Ovaskainen,Henrik Johan de Knegt,Maria del Mar Delgado
Publisher : Oxford University Press
Page : 301 pages
File Size : 53,6 Mb
Release : 2016
Category : Science
ISBN : 9780198714866
This is an integration of empirical data and theory in quantitative ecology and evolution through the use of mathematical models and statistical methods.
Author : Rezneat M. Darnell
Publisher : Unknown
Page : 0 pages
File Size : 52,5 Mb
Release : 1971
Category : Ecology
ISBN : LCCN:lc79126523
Author : Robert H. Gardner
Publisher : Springer
Page : 560 pages
File Size : 45,7 Mb
Release : 1991
Category : Nature
ISBN : UCSD:31822005132899
"Landscape ecology as a modern interdisciplinary science is making use increasingly of quantitative research techniques adopted from other fields. So far, no synthetic reference has been available to those wishing to acquaint themselves with new approaches to quantitative analysis of spatial heterogeneity at the landscape level. This book seeks to meet this need by providing a conceptual framework and illustrating potential applications for methods such as pattern analysis, spatial statistics, fractals modeling, broad-scale studies, and extrapolation across scales. Each technique is discussed in sufficient detail to be adaptable to a variety of research problems. Quantitative Methods in Landscape Ecology will be an important resource for researchers and students of landscape and ecosystem ecology in understanding and analyzing the dynamics of complex spatial systems."--
Author : Michael J. Conroy,John P. Carroll
Publisher : John Wiley & Sons
Page : 358 pages
File Size : 51,5 Mb
Release : 2011-09-20
Category : Science
ISBN : 9781444356496
This book provides a hands-on introduction to the construction and application of models to studies of vertebrate distribution, abundance, and habitat. The book is aimed at field biologists, conservation planners, and advanced undergraduate and postgraduate students who are involved with planning and analyzing conservation studies, and applying the results to conservation decisions. The book also acts as a bridge to more advanced and mathematically challenging coverage in the wider literature. Part I provides a basic background in population and community modeling. It introduces statistical models, and familiarizes the reader with important concepts in the design of monitoring and research programs. These programs provide the essential data that guide conservation decision making. Part II covers the principal methods used to estimate abundance, occupancy, demographic parameters, and community parameters, including occupancy sampling, sample counts, distance sampling, and capture-mark-recapture (for both closed and open populations). Emphasis is placed on practical aspects of designing and implementing field studies, and the proper analysis of data. Part III introduces structured decision making and adaptive management, in which predictive models are used to inform conservation decision makers on appropriate decisions in the face of uncertainty—with the goal of reducing uncertainty through monitoring and research. A detailed case study is used to illustrate each of these themes. Numerous worked examples and accompanying electronic material (on a website - http://www.blackwellpublishing.com/conroy - and accompanying CD) provide the details of model construction and application, and data analysis.