| Lara-Karena Kellogg | 6 |
---|
| Foreword | 8 |
---|
| Preface | 10 |
---|
| Acknowledgments | 14 |
---|
| Contents | 16 |
---|
| Part I Concepts and Theory | 22 |
---|
| 1.2 An Energetic Framework for Understanding Landscape Fire | 27 |
| 1.2.1 Self-Limiting Properties of Landscape Fire | 33 |
| 1.2.2 Self-Reinforcing Properties of Landscape Fire | 34 |
| 1.2.3 Top-down Vs. Bottom-up Controls | 35 |
| 1.2.4 Landscapes and the Middle-Number Domain | 36 |
| 1.3 Some Implications | 40 |
| 1.4 Conclusions | 41 |
| References | 41 |
| 2.2 Scale and Contagious Disturbance | 47 |
| 2.3 Extrapolating Across Scales | 48 |
| 2.4 Scaling Laws and Fire Regimes | 49 |
| 2.4.1 Fire Size Distributions | 50 |
| 2.4.2 Fire Frequency | 51 |
| 2.4.3 Fire Hazard | 52 |
| 2.4.4 Correlated Spatial Patterns | 54 |
| 2.4.5 Mechanisms | 55 |
| 2.5 Example: Power Laws and Spatial Patterns in Low-Severity Fire Regimes | 56 |
| 2.5.1 Neutral Model for Fire History | 59 |
| 2.5.2 Prediction of Sørensen’s Distance | 60 |
| 2.6 Conclusions and Implications | 64 |
| References | 65 |
| Chapter 3: Native Fire Regimes and Landscape Resilience | 69 |
| 3.1 Introduction | 69 |
| 3.2 Landscape Resilience | 70 |
| 3.3 Fire Regime Characterization | 71 |
| 3.4 Fire Regime Variation and Resilience | 73 |
| 3.5 Fences and Corridors | 75 |
| 3.6 Fire Size Distributions and Power Laws | 76 |
| 3.7 Theories on the Origin of Power Laws | 77 |
| 3.8 Example Ecosystems | 79 |
| 3.9 Fire Size Distributions in Chaparral Ecosystems | 80 |
| 3.9.1 Exposed vs. Sheltered from Extreme Fire Weather | 81 |
| 3.9.2 Landscape Resilience in Chaparral | 83 |
| 3.10 Fire Size Distributions in Ecoregions of California | 84 |
| 3.10.1 Distribution Fitting | 85 |
| 3.10.2 Evaluating Top-down and Bottom-up Controls | 88 |
| 3.10.3 Characteristics of California Fires | 90 |
| 3.10.4 Selecting an Optimal Ecoregion Scale | 91 |
| 3.10.5 Distribution Fits for California Fires | 92 |
| 3.11 The Meso-Scale Process Domain and a Role for Topography | 94 |
| 3.12 From Whence Come the Distributions? | 97 |
| 3.13 Concluding Thoughts | 99 |
| References | 100 |
| Part II Climate Context | 105 |
---|
| Chapter 4: Climate and Spatial Patterns of Wildfirein North America | 106 |
| 4.1 Introduction | 106 |
| 4.2 Mechanisms of Top-down Control | 108 |
| 4.2.1 Ignition Events | 108 |
| 4.2.2 Fire Spread | 110 |
| 4.2.3 Fuel Moisture | 112 |
| 4.2.4 Fuels Production | 113 |
| 4.3 Patterns of Top-down Control | 115 |
| 4.3.1 The El Niño Southern Oscillation | 115 |
| 4.3.2 The Pacific Decadal Oscillation | 119 |
| 4.3.3 The Northern Hemisphere Annual Mode | 121 |
| 4.3.4 The Atlantic Multidecadal Oscillation | 122 |
| 4.4 Fire in the Future | 122 |
| 4.5 Summary and Conclusions | 124 |
| References | 125 |
| Chapter 5: Climatic Water Balance and Regional Fire Years in the Pacific Northwest, USA: Linking Regional Climate and Fire at Landscape Scales | 133 |
| 5.1 Introduction | 133 |
| 5.2 Methods: Identifying Relationships between Water Balance and Area Burned | 136 |
| 5.2.1 Data Analysis | 140 |
| 5.3 Results | 140 |
| 5.4 Discussion | 147 |
| 5.4.1 Linking Water Balance and Fire at Finer Scales | 150 |
| 5.4.2 Implications for Future Landscapes and Modeling | 152 |
| References | 153 |
| Part III Landscape Fire Dynamics and Interactions | 156 |
---|
| Chapter 6: Pyrogeography and Biogeochemical Resilience | 157 |
| 6.1 Introduction | 157 |
| 6.2 Fire Biogeochemistry | 158 |
| 6.3 Pyrogeography | 161 |
| 6.4 Biogeochemical Resilience | 162 |
| 6.5 Example: The Greater Yellowstone Ecosystem | 165 |
| 6.6 Looking Forward: Biogeochemical Resilience and the Landscape Ecology of Fire | 168 |
| 6.6.1 Identify the Conditions under Which Interactions of Post-fire Biogeochemistry and Vegetation Shift Systems to Alternate States | 168 |
| 6.6.2 Compare Models with Empirical Data from Multiple Scales of Space and Time | 169 |
| 6.6.3 Use Concepts of Equilibrium to Explore Conditions that Promote Resilience | 169 |
| 6.6.4 Establish a General Framework for Biogeochemical Resilience across a Variety of Ecosystems and Disturbance Regimes, and Over a Broader Range of BiogeochemicalFluxes | 170 |
| References | 171 |
| Chapter 7: Reconstructing Landscape Pattern of Historical Fires and Fire Regimes | 178 |
| 7.1 Introduction | 178 |
| 7.2 Methods: Reconstructing Spatial Pattern of Fire | 181 |
| 7.2.1 Fire Scars | 181 |
| 7.2.2 Spatial Interpolation Techniques | 183 |
| 7.2.2.1 Thiessen Polygons | 184 |
| 7.2.2.2 Inverse Distance Weighting | 184 |
| 7.2.2.3 Indicator Kriging | 185 |
| 7.2.3 Fire Regime Metrics | 186 |
| 7.2.3.1 Annual Area Burned | 186 |
| 7.2.3.2 Natural Fire Rotation (NFR) | 186 |
| 7.2.4 Case Studies | 187 |
| 7.2.4.1 Case Studies | 189 |
| 7.3 Results: Spatially Reconstructed Fire Histories | 191 |
| 7.3.1 Fine-Scale Spatial Fire History | 191 |
| 7.3.2 Mid-Scale Spatial Fire History | 192 |
| 7.3.3 Broad-Scale Spatial Fire History | 193 |
| 7.4 Insights from Spatial Reconstruction of Fire Histories | 193 |
| 7.4.1 Basic Insights from Case Studies | 193 |
| 7.4.2 Understanding Topographic Control of Fire Spread | 195 |
| 7.4.3 Reconstructing Spatial Heterogeneity in Fire Occurrence and Burn Severity | 195 |
| 7.4.4 Reconstructing Landscape Patterns of Fire across Multiple Years | 196 |
| 7.4.5 Estimation of Statistical Properties of Fire Regimes | 197 |
| 7.4.6 Temporal Considerations in Interpreting Landscape Patterns of Historical Fire | 199 |
| 7.4.7 Appli
|