| Preface |
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xiii | |
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xix | |
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Competition dynamics in a seasonally varying wetland |
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1 | (14) |
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1 | (3) |
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4 | (2) |
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6 | (1) |
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6 | (3) |
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9 | (3) |
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12 | (3) |
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Spatial dynamics of multitrophic communities |
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15 | (18) |
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15 | (2) |
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17 | (1) |
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18 | (6) |
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18 | (1) |
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19 | (5) |
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Discussion and conclusions |
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24 | (2) |
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26 | (1) |
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26 | (4) |
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26 | (2) |
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28 | (2) |
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30 | (3) |
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Bistability Dynamics in Structured Ecological Models |
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33 | (30) |
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34 | (6) |
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Diffusion induced bistability and hysteresis |
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40 | (7) |
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47 | (8) |
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55 | (1) |
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55 | (1) |
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56 | (7) |
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Modeling animal movement with diffusion |
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63 | (22) |
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63 | (2) |
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Advection-diffusion in heterogeneous environments |
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65 | (7) |
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Edge behavior and habitat selection |
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68 | (1) |
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Responses to linear landscape features |
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69 | (2) |
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Structural corridors (α = -1) |
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71 | (1) |
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Structural barriers (α = 1) |
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71 | (1) |
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Application: Wolf movement in a mountainous landscape |
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72 | (6) |
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Applications of diffusion models |
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78 | (1) |
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Predictions from diffusion models |
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78 | (1) |
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Data analysis with diffusion models |
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79 | (1) |
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79 | (1) |
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80 | (1) |
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80 | (5) |
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Riverine landscapes: Ecology for an alternative geometry |
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85 | (16) |
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85 | (2) |
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87 | (2) |
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Colonization and extinction |
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89 | (1) |
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89 | (5) |
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94 | (3) |
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97 | (1) |
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98 | (1) |
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98 | (3) |
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Biological modeling with quiescent phases |
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101 | (28) |
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101 | (1) |
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Diffusive coupling and quiescence |
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102 | (2) |
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Stationary states and stability |
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104 | (2) |
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106 | (1) |
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Rates depending on density |
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107 | (2) |
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109 | (1) |
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110 | (2) |
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112 | (4) |
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Reaction-diffusion equations |
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112 | (2) |
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Reaction-transport equations |
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114 | (2) |
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116 | (8) |
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116 | (1) |
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Spread of genetically engineered microbes |
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117 | (3) |
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Tumor growth: The linear-quadratic model |
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120 | (1) |
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121 | (1) |
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Contact distributions versus migrating infective |
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122 | (2) |
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124 | (1) |
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125 | (1) |
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125 | (4) |
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Spatial scale and population dynamics in advective media |
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129 | (16) |
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129 | (1) |
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130 | (2) |
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Population persistence and the drift paradox |
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132 | (3) |
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Response to abiotic forcing |
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135 | (3) |
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Directions for future research |
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138 | (2) |
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140 | (1) |
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141 | (4) |
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Using multivariate state-space models to study spatial structure and dynamics |
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145 | (22) |
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145 | (2) |
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Multivariate state-space models |
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147 | (2) |
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149 | (2) |
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Structure of the population growth rates (ƒB) |
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150 | (1) |
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Structure of the process-error variances (ƒQ) |
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150 | (1) |
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Structure of the measurement errors (ƒR) |
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151 | (1) |
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151 | (3) |
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151 | (1) |
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Estimation of Xt/t-1 and Pt/t-1 using the Kalman filter |
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152 | (1) |
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Maximization of the likelihood function |
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153 | (1) |
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154 | (1) |
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155 | (7) |
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156 | (2) |
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Structure in the salmon data |
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158 | (1) |
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159 | (1) |
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159 | (3) |
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162 | (2) |
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164 | (3) |
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Incorporating the spatial configuration of the habitat into ecology and evolutionary biology |
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167 | (22) |
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167 | (2) |
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Modeling migration in fragmented landscapes |
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169 | (2) |
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171 | (4) |
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Metacommunity dynamics of competing species |
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175 | (3) |
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Genetic and evolutionary dynamics |
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178 | (4) |
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182 | (1) |
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182 | (7) |
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Metapopulation perspectives on the evolution of species' niches |
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189 | (24) |
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189 | (2) |
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Models for adaptive colonization into sink habitats |
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191 | (9) |
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An island-mainland model with infrequent adaptive colonization |
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200 | (1) |
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Gene flow and population extinction |
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201 | (2) |
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A metapopulation model with maladaptive gene flow |
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203 | (3) |
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206 | (4) |
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210 | (1) |
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210 | (3) |
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Evolution of dispersal in heterogeneous landscapes |
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213 | (18) |
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213 | (3) |
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Random dispersal: Evolution of slow dispersal |
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216 | (2) |
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Random dispersal vs. conditional dispersal |
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218 | (2) |
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Evolution of conditional dispersal |
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220 | (1) |
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Dispersal and the ideal free distribution |
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221 | (3) |
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Dispersal in temporally varying environments |
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224 | (1) |
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225 | (2) |
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227 | (1) |
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227 | (4) |
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Evolution of dispersal scale and shape in heterogeneous environments: A correlation equation approach |
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231 | (20) |
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231 | (2) |
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233 | (4) |
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233 | (1) |
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234 | (1) |
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Environmental heterogeneity |
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234 | (1) |
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235 | (2) |
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237 | (7) |
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Dispersal scale in homogeneous landscapes |
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237 | (2) |
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Dispersal shape in homogeneous environments |
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239 | (1) |
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Dispersal scale in heterogeneous environments |
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240 | (3) |
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Dispersal shape in heterogeneous environments |
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243 | (1) |
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Discussion and conclusions |
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244 | (3) |
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247 | (1) |
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247 | (4) |
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Spatiotemporal dynamics of measles: Synchrony and persistence in a disease metapopulation |
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251 | (22) |
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251 | (2) |
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253 | (2) |
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Local dynamics: Periodicity and endemic fadeout |
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255 | (4) |
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Regional persistence and spatial synchrony |
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259 | (1) |
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Spatial synchrony among large population centers |
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259 | (6) |
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Reinvasion waves and phase relationships |
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265 | (2) |
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267 | (2) |
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269 | (4) |
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Rules of thumb for the control of vector-borne diseases in a spatial environment |
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273 | (20) |
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274 | (2) |
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276 | (4) |
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280 | (6) |
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286 | (2) |
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288 | (1) |
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289 | (1) |
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289 | (4) |
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Modeling spatial spread of communicable diseases involving animal hosts |
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293 | (24) |
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293 | (2) |
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295 | (3) |
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298 | (2) |
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300 | (2) |
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302 | (3) |
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305 | (3) |
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Feline immunodeficiency virus (FIV) |
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308 | (2) |
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310 | (1) |
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311 | (1) |
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311 | (6) |
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Economically optimal management of a metapopulation |
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317 | (16) |
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317 | (3) |
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320 | (3) |
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323 | (3) |
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Cost of ignoring spatial processes |
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326 | (3) |
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329 | (1) |
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330 | (1) |
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330 | (3) |
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333 | (10) |
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333 | (2) |
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335 | (3) |
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338 | (2) |
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340 | (1) |
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341 | (1) |
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341 | (2) |
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Spatial optimal control of renewable resource stocks |
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343 | (16) |
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343 | (1) |
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ODE models with spatial components |
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344 | (2) |
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346 | (8) |
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Techniques for optimal control of PDEs |
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348 | (2) |
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350 | (4) |
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354 | (1) |
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355 | (1) |
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355 | (4) |
| Index |
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359 | |