Author: Vincent Schultz
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 420
Book Description
A Bibliography of Quantitative Ecology
Author: Vincent Schultz
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 420
Book Description
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 420
Book Description
A Bibliography of Quantitative Ecology
Author: V. Schultz
Publisher: Academic Press
ISBN: 9780127874302
Category :
Languages : en
Pages : 361
Book Description
Publisher: Academic Press
ISBN: 9780127874302
Category :
Languages : en
Pages : 361
Book Description
Quantitative Ecology and Evolutionary Biology
Author: Otso Ovaskainen
Publisher: Oxford University Press
ISBN: 0191024236
Category : Science
Languages : en
Pages : 241
Book Description
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.
Publisher: Oxford University Press
ISBN: 0191024236
Category : Science
Languages : en
Pages : 241
Book Description
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.
A Bibliography of Quantitative Ecology
Author: Vincent Schultz
Publisher:
ISBN: 9780470151754
Category : Ecology
Languages : en
Pages : 361
Book Description
Publisher:
ISBN: 9780470151754
Category : Ecology
Languages : en
Pages : 361
Book Description
Introduction to Quantitative Ecology
Author: Timothy E. Essington
Publisher: Oxford University Press
ISBN: 0192655442
Category : Science
Languages : en
Pages : 321
Book Description
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.
Publisher: Oxford University Press
ISBN: 0192655442
Category : Science
Languages : en
Pages : 321
Book Description
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.
Harold D. Lasswell: An Annotated Bibliography
Author: Rodney Muth
Publisher: Springer Science & Business Media
ISBN: 9780792300182
Category : Philosophy
Languages : en
Pages : 400
Book Description
Publisher: Springer Science & Business Media
ISBN: 9780792300182
Category : Philosophy
Languages : en
Pages : 400
Book Description
Technical Books & Monographs Sponsored by the U.S. Atomic Energy Commission
Author: U.S. Atomic Energy Commission
Publisher:
ISBN:
Category : Nuclear engineering
Languages : en
Pages : 164
Book Description
Publisher:
ISBN:
Category : Nuclear engineering
Languages : en
Pages : 164
Book Description
An Introduction to Quantitative Ecology
Author: Robert W. Poole
Publisher: McGraw-Hill Companies
ISBN:
Category : Science
Languages : en
Pages : 552
Book Description
Primarily written for non-mathematically inclined biologist.
Publisher: McGraw-Hill Companies
ISBN:
Category : Science
Languages : en
Pages : 552
Book Description
Primarily written for non-mathematically inclined biologist.
Technical Books and Monographs Sponsored by the U.S. Atomic Energy Commission
Author: U.S. Atomic Energy Commission
Publisher:
ISBN:
Category : Nuclear engineering
Languages : en
Pages : 654
Book Description
Publisher:
ISBN:
Category : Nuclear engineering
Languages : en
Pages : 654
Book Description
Ecological Forecasting
Author: Michael C. Dietze
Publisher: Princeton University Press
ISBN: 1400885450
Category : Science
Languages : en
Pages : 285
Book Description
An authoritative and accessible introduction to the concepts and tools needed to make ecology a more predictive science Ecologists are being asked to respond to unprecedented environmental challenges. How can they provide the best available scientific information about what will happen in the future? Ecological Forecasting is the first book to bring together the concepts and tools needed to make ecology a more predictive science. Ecological Forecasting presents a new way of doing ecology. A closer connection between data and models can help us to project our current understanding of ecological processes into new places and times. This accessible and comprehensive book covers a wealth of topics, including Bayesian calibration and the complexities of real-world data; uncertainty quantification, partitioning, propagation, and analysis; feedbacks from models to measurements; state-space models and data fusion; iterative forecasting and the forecast cycle; and decision support. Features case studies that highlight the advances and opportunities in forecasting across a range of ecological subdisciplines, such as epidemiology, fisheries, endangered species, biodiversity, and the carbon cycle Presents a probabilistic approach to prediction and iteratively updating forecasts based on new data Describes statistical and informatics tools for bringing models and data together, with emphasis on: Quantifying and partitioning uncertainties Dealing with the complexities of real-world data Feedbacks to identifying data needs, improving models, and decision support Numerous hands-on activities in R available online
Publisher: Princeton University Press
ISBN: 1400885450
Category : Science
Languages : en
Pages : 285
Book Description
An authoritative and accessible introduction to the concepts and tools needed to make ecology a more predictive science Ecologists are being asked to respond to unprecedented environmental challenges. How can they provide the best available scientific information about what will happen in the future? Ecological Forecasting is the first book to bring together the concepts and tools needed to make ecology a more predictive science. Ecological Forecasting presents a new way of doing ecology. A closer connection between data and models can help us to project our current understanding of ecological processes into new places and times. This accessible and comprehensive book covers a wealth of topics, including Bayesian calibration and the complexities of real-world data; uncertainty quantification, partitioning, propagation, and analysis; feedbacks from models to measurements; state-space models and data fusion; iterative forecasting and the forecast cycle; and decision support. Features case studies that highlight the advances and opportunities in forecasting across a range of ecological subdisciplines, such as epidemiology, fisheries, endangered species, biodiversity, and the carbon cycle Presents a probabilistic approach to prediction and iteratively updating forecasts based on new data Describes statistical and informatics tools for bringing models and data together, with emphasis on: Quantifying and partitioning uncertainties Dealing with the complexities of real-world data Feedbacks to identifying data needs, improving models, and decision support Numerous hands-on activities in R available online