Author: Otso Ovaskainen
Publisher: Cambridge University Press
ISBN: 1108492460
Category : Nature
Languages : en
Pages : 389
Book Description
A comprehensive account of joint species distribution modelling, covering statistical analyses in light of modern community ecology theory.
Joint Species Distribution Modelling
Author: Otso Ovaskainen
Publisher: Cambridge University Press
ISBN: 1108492460
Category : Nature
Languages : en
Pages : 389
Book Description
A comprehensive account of joint species distribution modelling, covering statistical analyses in light of modern community ecology theory.
Publisher: Cambridge University Press
ISBN: 1108492460
Category : Nature
Languages : en
Pages : 389
Book Description
A comprehensive account of joint species distribution modelling, covering statistical analyses in light of modern community ecology theory.
Mapping Species Distributions
Author: Janet Franklin
Publisher: Cambridge University Press
ISBN: 1139485296
Category : Nature
Languages : en
Pages : 538
Book Description
Maps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers and conservation planners alike. Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and statistical models used for spatial prediction. Providing practical guidelines to students, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management.
Publisher: Cambridge University Press
ISBN: 1139485296
Category : Nature
Languages : en
Pages : 538
Book Description
Maps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers and conservation planners alike. Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and statistical models used for spatial prediction. Providing practical guidelines to students, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management.
Habitat Suitability and Distribution Models
Author: Antoine Guisan
Publisher: Cambridge University Press
ISBN: 0521765137
Category : Computers
Languages : en
Pages : 513
Book Description
This book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spatio-temporal predictions. Extensive examples using R support graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery. A website at www.unil.ch/hsdm contains the codes and supporting material required to run the examples and teach courses.
Publisher: Cambridge University Press
ISBN: 0521765137
Category : Computers
Languages : en
Pages : 513
Book Description
This book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spatio-temporal predictions. Extensive examples using R support graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery. A website at www.unil.ch/hsdm contains the codes and supporting material required to run the examples and teach courses.
Spatial Ecology and Conservation Modeling
Author: Robert Fletcher
Publisher: Springer
ISBN: 3030019896
Category : Science
Languages : en
Pages : 531
Book Description
This book provides a foundation for modern applied ecology. Much of current ecology research and conservation addresses problems across landscapes and regions, focusing on spatial patterns and processes. This book is aimed at teaching fundamental concepts and focuses on learning-by-doing through the use of examples with the software R. It is intended to provide an entry-level, easily accessible foundation for students and practitioners interested in spatial ecology and conservation.
Publisher: Springer
ISBN: 3030019896
Category : Science
Languages : en
Pages : 531
Book Description
This book provides a foundation for modern applied ecology. Much of current ecology research and conservation addresses problems across landscapes and regions, focusing on spatial patterns and processes. This book is aimed at teaching fundamental concepts and focuses on learning-by-doing through the use of examples with the software R. It is intended to provide an entry-level, easily accessible foundation for students and practitioners interested in spatial ecology and conservation.
Spatial Conservation Prioritization
Author: Atte Moilanen
Publisher: Oxford University Press, USA
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 336
Book Description
In a coherent and comprehensive set of chapters, a team of leading scientists describe the present state-of-the-art in spatial conservation planning methodology with a focus on operational definitions and methods, supported by the latest technological details and applications of publicly available software.
Publisher: Oxford University Press, USA
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 336
Book Description
In a coherent and comprehensive set of chapters, a team of leading scientists describe the present state-of-the-art in spatial conservation planning methodology with a focus on operational definitions and methods, supported by the latest technological details and applications of publicly available software.
Integrated Population Models
Author: Michael Schaub
Publisher: Academic Press
ISBN: 0128209151
Category : Science
Languages : en
Pages : 640
Book Description
Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses. - Offers practical and accessible ecological applications of IPMs (integrated population models) - Provides full documentation of analyzed code in the Bayesian framework - Written and structured for an easy approach to the subject, especially for non-statisticians
Publisher: Academic Press
ISBN: 0128209151
Category : Science
Languages : en
Pages : 640
Book Description
Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses. - Offers practical and accessible ecological applications of IPMs (integrated population models) - Provides full documentation of analyzed code in the Bayesian framework - Written and structured for an easy approach to the subject, especially for non-statisticians
Marine Disease Ecology
Author: Donald C. Behringer
Publisher:
ISBN: 0198821638
Category : Science
Languages : en
Pages : 280
Book Description
Global research on marine disease ecology has expanded at an accelerating rate, due to increases in disease emergence across many taxa but also a broader realization that the parasites responsible are themselves important members of marine communities. Courses are now starting to emerge and this first textbook is ideally placed to serve them.
Publisher:
ISBN: 0198821638
Category : Science
Languages : en
Pages : 280
Book Description
Global research on marine disease ecology has expanded at an accelerating rate, due to increases in disease emergence across many taxa but also a broader realization that the parasites responsible are themselves important members of marine communities. Courses are now starting to emerge and this first textbook is ideally placed to serve them.
Dynamic State Variable Models in Ecology
Author: Colin W. Clark
Publisher: Oxford University Press
ISBN: 0195122666
Category : Science
Languages : en
Pages : 302
Book Description
This book introduces readers to a set of powerful and extremely flexible modeling techniques--starting at "square one"--and is ideal for students and scientists in behavior studies, ecology, anthropology, conservation biology, and related fields.
Publisher: Oxford University Press
ISBN: 0195122666
Category : Science
Languages : en
Pages : 302
Book Description
This book introduces readers to a set of powerful and extremely flexible modeling techniques--starting at "square one"--and is ideal for students and scientists in behavior studies, ecology, anthropology, conservation biology, and related fields.
Effects of Climate Change on Birds
Author: Anders Pape Møller
Publisher: Oxford University Press, USA
ISBN: 0199569746
Category : Nature
Languages : en
Pages : 332
Book Description
"Effects of Climate Change on Birds provides an exhaustive and up-to-date synthesis of the science of climate change as it relates to birds." -- Back cover.
Publisher: Oxford University Press, USA
ISBN: 0199569746
Category : Nature
Languages : en
Pages : 332
Book Description
"Effects of Climate Change on Birds provides an exhaustive and up-to-date synthesis of the science of climate change as it relates to birds." -- Back cover.
Generalized Additive Models
Author: Simon Wood
Publisher: CRC Press
ISBN: 1584884746
Category : Mathematics
Languages : en
Pages : 412
Book Description
Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an accessible introductory treatment of the subject that also emphasizes recent penalized regression spline approaches to GAMs and the mixed model extensions of these models. Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools. The author bases his approach on a framework of penalized regression splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of the freely available R software helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their mixed effect extensions. The treatment is rich with practical examples, and it includes an entire chapter on the analysis of real data sets using R and the author's add-on package mgcv. Each chapter includes exercises, for which complete solutions are provided in an appendix. Concise, comprehensive, and essentially self-contained, Generalized Additive Models: An Introduction with R prepares readers with the practical skills and the theoretical background needed to use and understand GAMs and to move on to other GAM-related methods and models, such as SS-ANOVA, P-splines, backfitting and Bayesian approaches to smoothing and additive modelling.
Publisher: CRC Press
ISBN: 1584884746
Category : Mathematics
Languages : en
Pages : 412
Book Description
Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an accessible introductory treatment of the subject that also emphasizes recent penalized regression spline approaches to GAMs and the mixed model extensions of these models. Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools. The author bases his approach on a framework of penalized regression splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of the freely available R software helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their mixed effect extensions. The treatment is rich with practical examples, and it includes an entire chapter on the analysis of real data sets using R and the author's add-on package mgcv. Each chapter includes exercises, for which complete solutions are provided in an appendix. Concise, comprehensive, and essentially self-contained, Generalized Additive Models: An Introduction with R prepares readers with the practical skills and the theoretical background needed to use and understand GAMs and to move on to other GAM-related methods and models, such as SS-ANOVA, P-splines, backfitting and Bayesian approaches to smoothing and additive modelling.