Niko Balkenhol, Samuel Cushman, Andrew Storfer

Landscape Genetics

Concepts, Methods, Applications

• Gebundenes Buch

Produktbeschreibung

Landscape genetics is an exciting and rapidly growing field, melding methods and theory from landscape ecology and population genetics to address some of the most challenging and urgent ecological and evolutionary topics of our time. Landscape genetic approaches now enable researchers to study in detail how environmental complexity in space and time affect gene flow, genetic drift, and local adaptation. However, learning about the concepts and methods underlying the field remains challenging due to the highly interdisciplinary nature of the field, which relies on topics that have traditionally been treated separately in classes and textbooks. In this edited volume, some of the leading experts in landscape genetics provide the first comprehensive introduction to underlying concepts, commonly used methods, and current and future applications of landscape genetics. Consistent with the interdisciplinary nature of the field, the book includes textbook-like chapters that synthesize fundamental concepts and methods underlying landscape genetics (Part 1), chapters on advanced topics that deserve a more in-depth treatment (Part 2), and chapters illustrating the use of concepts and methods in empirical applications (Part 3). Aimed at beginning landscape geneticists and experienced researchers alike, this book will be helpful for all scientists and practitioners interested in learning, teaching, and applying landscape genetics.

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Produktdetails

• Verlag: John Wiley and Sons Ltd
• Seitenzahl: 288
• Erscheinungstermin: 9. November 2015
• Englisch
• Abmessung: 260mm x 208mm x 21mm
• Gewicht: 814g
• ISBN-13: 9781118525289
• ISBN-10: 1118525280
• Artikelnr.: 41561321

Autorenporträt

About the editors Niko Balkenhol Department of Wildlife Sciences, University of Göttingen, Germany Samuel A. Cushman Forest and Woodlands Ecosystems Program, Rocky Mountain Research Station, United States Forest Service, AZ, USA Andrew T. Storfer School of Biological Sciences, Washington State University, WA, USA Lisette P. Waits Fish and Wildlife Sciences, University of Idaho, Moscow, ID, USA

Inhaltsangabe

List of contributors ix
Website xi
Acknowledgments xiii
Glossary xv
1 INTRODUCTION TO LANDSCAPE GENETICS - CONCEPTS METHODS APPLICATIONS 1
Niko Balkenhol, Samuel A. Cushman, Andrew Storfer, and Lisette P. Waits
1.1 Introduction 1
1.2 Defining landscape genetics 2
1.3 The three analytical steps of landscape genetics 3
1.4 The interdisciplinary challenge of landscape genetics 3
1.5 Structure of this book - concepts methods applications 5
References 6
PART 1: CONCEPTS
2 BASICS OF LANDSCAPE ECOLOGY: AN INTRODUCTION TO LANDSCAPES AND POPULATION
PROCESSES FOR LANDSCAPE GENETICISTS 11
Samuel A. Cushman, Brad H. McRae, and Kevin McGarigal
2.1 Introduction 11
2.2 How landscapes affect population genetic processes 12
2.3 Defining the landscape for landscape genetic research 16
2.4 Defining populations and characterizing dispersal processes 21
2.5 Putting it together: combinations of landscape and population models 24
2.6 Frameworks for delineating landscapes and populations for landscape
genetics 26
2.7 Current challenges and future opportunities 30
References 30
3 BASICS OF POPULATION GENETICS: QUANTIFYING NEUTRAL AND ADAPTIVE GENETIC
VARIATION FOR LANDSCAPE GENETIC STUDIES 35
Lisette P. Waits and Andrew Storfer
3.1 Introduction 35
3.2 Overview of landscape influences on genetic variation 36
3.3 Overview of DNA types and molecular methods 38
3.4 Important population genetic models 41
3.5 Measuring genetic diversity 45
3.6 Evaluating genetic structure and detecting barriers 46
3.7 Estimating gene flow using indirect and direct methods 50
3.8 Conclusion and future directions 52
References 53
4 BASICS OF STUDY DESIGN: SAMPLING LANDSCAPE HETEROGENEITY AND GENETIC
VARIATION FOR LANDSCAPE GENETIC STUDIES 58
Niko Balkenhol and Marie-Josée Fortin
4.1 Introduction 58
4.2 Study design terminology used in this chapter 59
4.3 General study design considerations 60
4.4 Considerations for landscape genetic study design 61
4.5 Current knowledge about study design effects in landscape genetics 66
4.6 Recommendations for optimal sampling strategies in landscape genetics
71
4.7 Conclusions and future directions 73
References 74
5 BASICS OF SPATIAL DATA ANALYSIS: LINKING LANDSCAPE AND GENETIC DATA FOR
LANDSCAPE GENETIC STUDIES 77
Helene H. Wagner and Marie-Josée Fortin
5.1 Introduction 77
5.2 How to model landscape effects on genetic variation 84
5.3 How to model isolation-by-distance 93
5.4 Future directions 95
Acknowledgments 96
References 96
PART 2: METHODS
6 SIMULATION MODELING IN LANDSCAPE GENETICS 101
Erin Landguth Samuel A. Cushman and Niko Balkenhol
6.1 Introduction 101
6.2 A brief overview of models and simulations 101
6.3 General benefits of simulation modeling 102
6.4 Landscape genetic simulation modeling 103
6.5 Examples of simulation modeling in landscape genetics 104
6.6 Designing and choosing landscape genetic simulation models 108
6.7 The future of landscape genetic simulation modeling 111
References 111
7 CLUSTERING AND ASSIGNMENT METHODS IN LANDSCAPE GENETICS 114
Olivier François and Lisette P. Waits
7.1 Introduction 114
7.2 Exploratory data analysis and model-based clustering for population
structure analysis 115
7.3 Spatially explicit methods in landscape genetics 119
7.4 Spatial EDA methods: spatial PCA and spatial factor analysis 119
7.5 Spatial MBC methods 120
7.6 Habitat and environmental heterogeneity models 121
7.7 Discussion 123
References 125
8 RESISTANCE SURFACE MODELING IN LANDSCAPE GENETICS 129
Stephen F. Spear Samuel A. Cushman and Brad H. McRae
8.1 Introduction 129
8.2 Techniques for parameterizing resistance surfaces 133
8.3 Estimating connectivity from resistance surfaces 137
8.4 Statistical validation of resistance surfaces 139
8.5 The future of the resistance surface in landscape genetics 142
8.6 Conclusions 144
References 144
9 GENOMIC APPROACHES IN LANDSCAPE GENETICS 149
Andrew Storfe,r Michael F. Antolin, Stéphanie Manel, Bryan K. Epperson, and
Kim T. Scribner
9.1 Introduction 149
9.2 Current landscape genomics methods 150
9.3 General challenges in landscape genomics 157
9.4 Spatial autocorrelation 157
9.5 Applications of landscape genomics to climate change 159
References 160
10 GRAPH THEORY AND NETWORK MODELS IN LANDSCAPE GENETICS 165
Melanie Murphy, Rodney Dyer, and Samuel A. Cushman
10.1 Introduction 165
10.2 Background on graph theory 167
10.3 Landscape genetic applications 170
10.4 Recommendations for using graph approaches in landscape genetics 175
10.5 Current research needs 176
10.6 Conclusion - potential for application of graphs for conservation 176
References 177
PART 3: APPLICATIONS
11 LANDSCAPES AND PLANT POPULATION GENETICS 183
Rodney J. Dyer
11.1 Introduction 183
11.2 Contemporary population genetic processes 186
11.3 Historical population genetic processes 190
11.4 Future research 192
References 194
12 APPLICATIONS OF LANDSCAPE GENETICS TO CONNECTIVITY RESEARCH IN
TERRESTRIAL ANIMALS 199
Lisette P. Waits, Samuel A. Cushman, and Steve F. Spear
12.1 Introduction 199
12.2 General overview of terrestrial animal study systems and research
challenges 199
12.3 Detecting barriers and defining corridors 202
12.4 Evaluating population dynamics 205
12.5 Detecting and predicting the response to landscape change 206
12.6 Common limitations of landscape genetic studies involving terrestrial
animals 208
12.7 Testing ecological hypotheses about gene flow in heterogeneous
landscapes 208
12.8 Knowledge gaps and future directions 213
References 214
13 WATERSCAPE GENETICS - APPLICATIONS OF LANDSCAPE GENETICS TO RIVERS LAKES
AND SEAS 220
Kimberly A. Selkoe Kim T. Scribner and Heather M. Galindo
13.1 Introduction 220
13.2 Understanding marine and freshwater environments 223
13.3 Typical research questions and approaches 229
13.4 Applications of landscape genetic approaches 234
13.5 Future directions: knowledge gaps research challenges and limitations
237
Acknowledgments 238
References 238
14 CURRENT STATUS FUTURE OPPORTUNITIES AND REMAINING CHALLENGES IN
LANDSCAPE
GENETICS 247
Niko Balkenhol, Samuel A. Cushman, Lisette P. Waits, and Andrew Storfer
14.1 Introduction 247
14.2 Conclusion 1: issues of scale need to be considered 248
14.3 Conclusion 2: sampling needs to specifically target landscape genetic
questions 248
14.4 Conclusion 3: choice of appropriate statistical methods remains
challenging 249
14.5 Conclusion 4: simulations play a key role in landscape genetics 249
14.6 Conclusion 5: measures of genetic variation are rarely developed
specifically for landscape genetics 249
14.7 Conclusion 6: landscape resistance is just one of the possible
landscape-genetic relationships 250
14.8 Conclusion 7: genomics provides novel opportunities but also creates
new challenges 250
14.9 Conclusion 8: the scope of landscape genetics needs to expand 251
14.10 Conclusion 9: specific hypotheses are rarely stated in current
landscape genetic studies 251
14.11 Conclusion 10: a comprehensive theory for landscape genetics is
currently missing 252
14.12 The future of landscape genetics 252
References 253
Index 257