Camera Traps in Animal Ecology - Methods and Analyses

von: Allan F. O'Connell, James D. Nichols, K. Ullas Karanth

Springer-Verlag, 2010

ISBN: 9784431994954 , 271 Seiten

Format: PDF

Kopierschutz: Wasserzeichen

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Camera Traps in Animal Ecology - Methods and Analyses


 

Preface

6

Acknowledgments

10

About the Editors

12

Contents

14

Chapter 1: Introduction

16

1.1 Evolution of Camera Trapping

16

1.2 Book Organization and Chapter Summaries

18

References

23

Chapter 2: A History of Camera Trapping

24

2.1 Introduction

24

2.2 Early Developments

25

2.3 The Modern Era

27

2.4 Forest Carnivores

30

2.5 Expanding Applications

31

References

37

Chapter 3: Evaluating Types and Features of Camera Traps in Ecological Studies: A Guide for Researchers

42

3.1 Introduction

42

3.2 Benefits and Problems with Camera Traps in the Field: A Review

43

3.3 Types of Camera Traps

44

3.3.1 Non-triggered Camera Systems

46

3.3.2 Triggered Camera Traps

46

3.4 Camera Trap Features and Trade-offs Among Them

47

3.4.1 System Components

48

3.4.2 Housing

48

3.4.3 Software and Programming

50

3.4.4 Power

51

3.4.5 Camera Types

52

3.4.6 Camera and Lighting Options

52

3.5 Discussion

54

3.5.1 Working with Camera Traps in the Field

54

3.5.2 Emerging Technology

54

References

56

Chapter 4: Science, Conservation, and Camera Traps

59

4.1 Introduction

59

4.2 Science

60

4.2.1 Approaches to Science

60

4.2.2 Science and Camera Traps

62

4.3 Management/Conservation

63

4.3.1 Structured Decision-Making: Introduction

63

4.3.2 Structured Decision-Making: Components

64

4.3.3 Sources of Uncertainty

65

4.3.4 Adaptive Resource Management

66

4.3.5 Management, Conservation, and Camera Trapping

67

4.4 Discussion

67

References

68

Chapter 5: Behavior and Activity Patterns

71

5.1 Introduction

71

5.2 Traditional Techniques of Studying Animal Behavior and Activity

71

5.3 Advantages and Implications for Using Camera Traps

72

5.4 Case Studies

73

5.4.1 Circadian Rhythms

73

5.4.2 Nest Predation

75

5.4.3 Foraging

75

5.4.4 Niche Partitioning and Social Systems

77

5.4.5 Habitat and Corridor Usage

77

5.4.6 Refugia and Reproduction

78

5.4.7 Statistical Analyses

78

5.5 Future Applications for Camera Traps in Behavior Studies

79

References

79

Chapter 6: Abundance, Density and Relative Abundance: A Conceptual Framework

84

6.1 Introduction

84

6.2 Estimation of Abundance

85

Closed Capture–Recapture Models

88

Open Capture–Recapture Models

92

Mixed Time Scale Model

94

Estimation of Density

95

Relative Abundance Indices

101

References

106

Chapter 7: Estimating Tiger Abundance from Camera Trap Data: Field Surveys and Analytical Issues

110

7.1 Introduction

110

7.1.1 Camera Trap Studies of Tigers: Natural History and Science

110

7.1.2 Tiger Ecology in Relation to Abundance Estimation Issues

111

7.2 Equipment and Field Practices

112

7.2.1 Camera Traps and Related Equipment

112

7.2.2 Choice of Trap Sites

114

7.2.3 Accurately Recording Data

114

7.3 Survey Design Considerations

116

7.3.1 Season, Survey Duration and Population Closure

116

7.3.2 Spacing and Placement of Traps

117

7.3.3 Adequate Coverage of the Sampled Area

119

7.4 Data Analysis: Issues and Examples

122

7.4.1 The Approach to Analysis of Tiger Photo-Capture Data

122

7.4.2 Testing for Population Closure

123

7.4.3 Model Selection and Estimation of Tiger Abundance

123

7.4.4 Estimating the Sampled Area Size and Tiger Densities

125

7.5 Camera Trapping Tigers: Some General Comments

126

References

127

Chapter 8: Abundance/Density Case Study: Jaguars in the Americas

131

Introduction

131

Study Sites

132

Survey Design and Data Analysis

135

Results

140

Discussion

148

References

151

Chapter 9Estimation of Demographic Parameters in a Tiger Population from Long-term Camera Trap Data

157

9.1 Introduction

157

9.2 Tiger Behavior and Demography in Relation to Monitoring Issues

158

9.3 Identification of Tigers and Assignment of Age-Sex Classes

160

9.4 Data Analysis Issues

160

9.4.2 Model Selection

163

9.4.3 Software Options

164

9.5 Population Dynamics of Tigers in Nagarahole, India

164

9.6 Utility of Camera Trap Data for Assessing Population Dynamics

169

References

171

Chapter 10: Hierarchical Spatial Capture–Recapture Models for Estimating Density from Trapping Arrays

174

10.1 Introduction

174

10.2 Background

177

10.3 Model Formulation

178

10.3.1 Observation Models

181

10.3.1.1 Model 1: The Poisson Model

181

10.3.1.2 Model 2: The Binomial Encounter Model

182

10.3.1.3 Model 3: The Multinomial Observation Model

183

10.4 Analysis of the Models

184

10.4.1 Poisson Detection Frequencies

184

10 4.1.1 Model Extensions and Reductions by Sufficiency

185

10.4.2 Model 2: Bernoulli Encounter Process

185

10.4.3 Analysis of Simulated Data

186

10.5 Model Extension: Unknown s and N

187

10.6 Unknown N: Data Augmentation

189

10.6.1 Implementation

191

10.7 Application to Nagarahole Tiger Data

192

10.8 Demographically Open Systems

194

10.9 Summary and Discussion

197

References

200

Chapter 11: Inference for Occupancy and Occupancy Dynamics

202

11.1 Introduction

202

11.2 Occupancy in Animal Ecology

203

11.3 Model Framework, Assumptions and Analytical Options

204

11.4 Study Designs for Occupancy Models

207

11.5 Suggestions for Presenting Results of Occupancy Analysis

208

11.6 Occupancy Estimation with Camera Trap Data: Model Extensions

209

11.6.1 Multiple Methods and Multiple Scales

210

11.6.2 Species Co-Occurrence and Resource Partitioning

211

11.7 Recent Advances

212

11.7.1 Multistate Occupancy Models

212

11.7.2 Occupancy Models with Spatially Clustered Subunits

212

11.8 Concluding Remarks

213

References

214

Chapter 12: Species Richness and Community Dynamics: A Conceptual Framework

217

12.1 Introduction

217

12.2 Inference About Single Sites

222

12.2.1 Static Community at a Single Site

222

12.2.2 Dynamic Community at a Single Site

226

12.3 Inference About Multiple Sites

228

12.3.1 Static Metacommunity

228

12.3.2 Dynamic Metacommunity

234

12.4 Design Considerations

235

References

238

Chapter 13: Estimation of Species Richness of Large Vertebrates Using Camera Traps: An Example from an Indonesian Rainforest

242

13.1 Introduction

242

13.2 Camera Traps and Species Lists

246

13.3 Estimating and Monitoring Species Richness: An Example from Indonesia

248

13.3.1 Observed and Estimated Species Richness

249

13.3.2 Relative Species Richness

252

References

259

Chapter 14: Camera Traps in Animal Ecology and Conservation: What’s Next?

262

14.1 Introduction

262

14.2 Uses of Camera Trap Data

262

14.3 Camera Trap Equipment and Photographic Data

264

14.4 Statistical Inference Methods

265

14.4.1 Abundance and Density

265

14.4.2 Occupancy

267

14.4.3 Species Richness

269

14.5 Conclusions

269

References

270

Index

273