Spatial ecology and conservation modeling: applications with R
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2018]
|
| Schlagwörter: | |
| Links: | http://deposit.dnb.de/cgi-bin/dokserv?id=9041cab6e8e04d6d9a7b688e49acefc0&prov=M&dok_var=1&dok_ext=htm http://www.springer.com/ http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030872161&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | xviii, 523 Seiten Illustrationen, Diagramme |
| ISBN: | 9783030019884 |
Internformat
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Datensatz im Suchindex
| _version_ | 1819275444471463936 |
|---|---|
| adam_text | Robert Fletcher • Marie-Josee Fortin
Spatial Ecology and
Conservation Modeling
Applications with R
Springer
Contents
1 Introduction to Spatial Ecology and Its Relevance
for Conservation 1
1 1 What Is Spatial Ecology? 1
1 2 The Importance of Space in Ecology 3
1 3 The Importance of Space in Conservation 5
1 4 The Growth of Frameworks for Spatial Modeling 6
1 5 The Path Ahead 8
References 9
Part I Quantifying Spatial Pattern in Ecological Data
2 Scale 17
2 1 Introduction 17
2 2 Key Concepts and Approaches 18
221 Scale Defined and Clarified 18
222 Why Is Spatial Scale Important? 21
223 Multiscale and Multilevel Quantitative Problems 23
224 Spatial Scale and Study Design 25
2 3 Examples in R 28
231 Packages in R 28
232 The Data 28
233A Simple Simulated Example 28
234 Multiscale Species Response to Land Cover 31
2 4 Next Steps and Advanced Issues 47
5241 Identifying Characteristic Scales Beyond
i Species-Environment Relationships 47
;242 Sampling and Scale 48
!25 Conclusions 48
j References 49
xiii
xiv Contents
3 Land-Cover Pattern and Change 55
3 1 Introduction 55
3 2 Key Concepts 56
321 Land Use Versus Land Cover 56
322 Conceptual Models for Land Cover and Habitat
Change 56
323 Habitat Loss and Fragmentation 60
324 Quantifying Land-Cover Pattern 62
3 3 Examples in R 65
331 Packages in R 65
332 The Data 65
333 Quantifying Land-Cover Variation at Different
Scales 66
334 Simulating Land Cover: Neutral Landscapes 86
3 4 Next Steps and Advanced Issues 90
341 Testing for Pattern Differences Between Landscapes 90
342 Land-Cover Quantification via Image Processing 91
343 Categorical Versus Continuous Metrics 91
3 5 Conclusions f 92
References 92
4 Spatial Dispersion and Point Data 101
4 1 Introduction 101
4 2 Key Concepts and Approaches 103
421 Characteristics of Point Patterns 103
422 Summary Statistics for Point Patterns 105
423 Common Statistical Models for Point Patterns 107
4 3 Examples in R 113
431 Packages in R 113
432 The Data 113
433 Creating Point Pattern Data and Visualizing It 114
434 Univariate Point Patterns 116
435 Marked Point Patterns 120
436 Inhomogeneous Point Processes and Point
Process Models 123
437 Alternative Null Models 125
438 Simulating Point Processes 127
4 4 Next Steps and Advanced Issues 128
441 Space-Time Analysis 128
442 Replicated Point Patterns 128
4 5 Conclusions 129
References 129
5 Spatial Dependence and Autocorrelation 133
5 1 Introduction 133
5 2 Key Concepts and Approaches 134
Contents xv
521 The Causes of Spatial Dependence 134
522 Why Spatial Dependence Matters 135
523 Quantifying Spatial Dependence 137
5 3 Examples in R 142
531 Packages in R 142
532 The Data 143
533 Conelograms 144
534 Variograms 150
535 Kriging 155
536 Simulating Spatially Autocorrelated Data 157
537 Multiscale Analysis 159
5 4 Next Steps and Advanced Issues 165
541 Local Spatial Dependence 165
542 Multivariate Spatial Dependence 165
5 5 Conclusions 166
References 166
6 Accounting for Spatial Dependence in Ecological Data 169
6 1 Introduction 169
6 2 Key Concepts and Approaches 170
621 The Problem of Spatial Dependence in Ecology
and Conservation 170
622 The Generalized Linear Model and Its Extensions 171
623 General Types of Spatial Models 175
624 Common Models that Account for Spatial
Dependence 176
625 Inference Versus Prediction 183
6 3 Examples in R 183
631 Packages in R 183
632 The Data 184
633 Models that Ignore Spatial Dependence 185
634 Models that Account for Spatial Dependence 194
6 4 Next Steps and Advanced Issues 204
641 General Bayesian Models for Spatial Dependence 204
642 Detection Errors and Spatial Dependence 204
6 5 Conclusions 205
References 206
Part II Ecological Responses to Spatial Pattern and Conservation
7 Species Distributions 213
7 1 Introduction 213
7 2 Key Concepts and Approaches 214
721 The Niche Concept 214
722 Predicting Distributions or Niches? 219
xvi Contents
723 Mechanistic Versus Correlative Distribution Models 219
724 Data for Correlative Distribution Models 220
725 Common Types of Distribution Modeling
Techniques 222
726 Combining Models: Ensembles 229
727 Model Evaluation 230
7 3 Examples in R 235
731 Packages in R 235
732 The Data 235
733 Prepping the Data for Modeling 236
734 Contrasting Models 240
735 Interpreting Environmental Relationships 251
736 Model Evaluation 253
737 Combining Models: Ensembles 257
7 4 Next Steps and Advanced Issues 258
741 Incorporating Dispersal 258
742 Integrating Multiple Data Sources 258
743 Dynamic Models 259
744 Multi-species Models 259
745 Sampling Error and Distribution Models 259
7 5 Conclusions 260
References 261
8 Space Use and Resource Selection 271
8 1 Introduction 271
8 2 Key Concepts and Approaches 271
821 Distinguishing Among the Diversity
of Habitat-Related Concepts and Terms 271
822 Habitat Selection Theory 273
823 General Types of Habitat Use and Selection Data 278
824 Home Range and Space Use Approaches 278
825 Resource Selection Functions at Different Scales 281
8 3 Examples in R 286
831 Packages in R 286
832 The Data 286
833 Prepping the Data for Modeling 287
834 Home Range Analysis 289
835 Resource Selection Functions 298
8 4 Next Steps and Advanced Issues 310
841 Mechanistic Models and the Identification
of Hidden States 310
842 Biotic Interactions 311
843 Sampling Error and Resource Selection Models 311
8 5 Conclusions 311
References 312
Contents xvii
9 Connectivity 321
9 1 Introduction 321
9 2 Key Concepts and Approaches 321
921 The Multiple Meanings of Connectivity 322
922 The Connectivity Concept 324
923 Factors Limiting Connectivity 326
924 Three Common Perspectives on Quantifying
Connectivity 328
9 3 Examples in R 335
931 Packages in R 335
932 The Data 336
933 Functional Connectivity Among Protected Areas
for Florida Panthers 336
934 Patch-Based Networks and Graph Theory 345
935 Combining Connectivity Mapping with Graph
Theory 356
9 4 Next Steps and Advanced Issues 358
941 Connectivity in Space and Time 358
942 Individual-Based Models 359
943 Diffusion Models 359
944 Spatial Capture-Recapture 359
9 5 Conclusions 360
References 360
10 Population Dynamics in Space 369
10 1 Introduction 369
10 2 Key Concepts and Approaches 371
10 2 1 Foundational Population Concepts 371
10 2 2 Spatial Population Concepts 372
10 2 3 Population Viability Analysis 382
10 2 4 Common Types of Spatial Population Models 384
10 3 Examples in R 387
10 3 1 Packages in R 387
10 3 2 The Data 388
10 3 3 Spatial Correlation and Synchrony 391
10 3 4 Metapopulation Metrics 394
10 3 5 Estimating Colonization-Extinction Dynamics 395
10 3 6 Projecting Dynamics 403
10 3 7 Metapopulation Viability and Environmental
Change 406
10 4 Next Steps and Advanced Issues 408
10 4 1 Spatial Population Matrix Models 408
10 4 2 Diffusion and Spatial Dynamics 408
10 4 3 Agent-Based Models 408
10 4 4 Integrated Population Models 409
10 5 Conclusions 409
References 410
xviii Contents
11 Spatially Structured Communities 419
11 1 Introduction 419
11 2 Key Concepts and Approaches 420
11 2 1 Spatial Community Concepts 420
11 2 2 Common Approaches to Understanding
Community-Environment Relationships 428
11 2 3 Spatial Models for Communities 431
11 3 Examples in R 437
11 3 1 Packages in R 437
11 3 2 The Data 438
11 3 3 Modeling Communities and Extrapolating
in Space 438
11 3 4 Spatial Dependence in Communities 460
11 3 5 Community Models with Explicit Accounting
for Space 461
11 4 Next Steps and Advanced Issues 463
11 4 1 Decomposition of Space-Environment Effects 463
11 4 2 Accounting for Dependence Among Species 463
11 4 3 Spatial Networks 463
11 5 Conclusions 464
References 464
12 What Have We Learned? Looking Back and Pressing Forward 475
12 1 The Impact of Spatial Ecology and Conservation 475
12 2 Looking Forward: Frontiers for Spatial Ecology
and Conservation 477
12 3 Where to Go from Here for Advanced Spatial Modeling? 478
12 4 Beyond R 479
12 5 Conclusions 480
References 481
Appendix A: An Introduction to R 489
Index 513
|
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| id | DE-604.BV045487219 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T18:28:20Z |
| institution | BVB |
| institution_GND | (DE-588)1064344704 |
| isbn | 9783030019884 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030872161 |
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| open_access_boolean | |
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| owner_facet | DE-703 DE-83 |
| physical | xviii, 523 Seiten Illustrationen, Diagramme |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Springer |
| record_format | marc |
| spellingShingle | Fletcher, Robert Fortin, Marie-Josée 1958- Spatial ecology and conservation modeling applications with R R Programm (DE-588)4705956-4 gnd Ökologie (DE-588)4043207-5 gnd Mathematische Modellierung (DE-588)7651795-0 gnd Raumordnung (DE-588)4048590-0 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4043207-5 (DE-588)7651795-0 (DE-588)4048590-0 |
| title | Spatial ecology and conservation modeling applications with R |
| title_auth | Spatial ecology and conservation modeling applications with R |
| title_exact_search | Spatial ecology and conservation modeling applications with R |
| title_full | Spatial ecology and conservation modeling applications with R Robert Fletcher, Marie-Josée Fortin |
| title_fullStr | Spatial ecology and conservation modeling applications with R Robert Fletcher, Marie-Josée Fortin |
| title_full_unstemmed | Spatial ecology and conservation modeling applications with R Robert Fletcher, Marie-Josée Fortin |
| title_short | Spatial ecology and conservation modeling |
| title_sort | spatial ecology and conservation modeling applications with r |
| title_sub | applications with R |
| topic | R Programm (DE-588)4705956-4 gnd Ökologie (DE-588)4043207-5 gnd Mathematische Modellierung (DE-588)7651795-0 gnd Raumordnung (DE-588)4048590-0 gnd |
| topic_facet | R Programm Ökologie Mathematische Modellierung Raumordnung |
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