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x | |
Preface |
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xviii | |
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1 | (18) |
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The idea of ecological complexity |
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2 | (5) |
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Early revolutionaries in the new agriculture |
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7 | (5) |
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To "understand": nine reasons for generalization |
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12 | (2) |
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A note on theory and intuition |
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14 | (1) |
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Ecological complexity and the organization of this book |
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15 | (4) |
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2 Basic ecological concepts |
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19 | (41) |
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19 | (5) |
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How plants get nutrients from soil |
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24 | (3) |
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Transformation of nutrients in the soil |
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27 | (5) |
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32 | (2) |
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The ecological niche: a historical backbone |
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34 | (5) |
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39 | (3) |
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Equilibrium, resilience, persistence |
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42 | (5) |
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47 | (3) |
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Feedback in dynamic systems |
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50 | (10) |
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3 The Turing mechanism and geometric pattern |
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60 | (29) |
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Dynamic consequences of background exogenous pattern |
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64 | (5) |
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Generation of endogenous pattern |
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69 | (6) |
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Criticality and power functions |
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75 | (6) |
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Percolation points and power functions |
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81 | (3) |
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The skeleton of the fundamental niche, the flesh of the realized niche |
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84 | (2) |
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Spatial pattern and the agricultural connection |
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86 | (3) |
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89 | (26) |
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89 | (4) |
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Intuition of the importance of chaos in a simple system |
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93 | (2) |
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Farmer math and the intuition of chaos |
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95 | (4) |
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Chaotic attractors, transients and Cantor sets |
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99 | (4) |
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Ecological chaos in the real world? |
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103 | (3) |
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The generalized structure of chaotic attractors |
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106 | (4) |
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From cooked carrots to chaos to attractor reconstruction |
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110 | (3) |
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113 | (2) |
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115 | (20) |
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Introduction: deterministic versus stochastic |
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115 | (1) |
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The importance of stochasticity |
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116 | (3) |
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Basic population processes with stochasticity |
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119 | (6) |
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Predator/prey systems and stochasticity |
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125 | (2) |
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The interrelationship between chaos and stochasticity |
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127 | (3) |
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The chaos/stochasticity tapestry |
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130 | (4) |
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134 | (1) |
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135 | (22) |
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135 | (1) |
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Consumer/resource oscillators and weak coupling: a basic pattern |
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136 | (3) |
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Oscillatory structure in chaos: the teacup |
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139 | (1) |
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Confronting Gause's principle with oscillations |
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140 | (3) |
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Limiting similarity and species packing with oscillators |
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143 | (6) |
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Decomposition as an oscillatory process |
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149 | (3) |
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Seasonality and the Moran effect |
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152 | (5) |
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157 | (21) |
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Three-dimensional systems |
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158 | (4) |
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162 | (4) |
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166 | (6) |
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Qualitative structure of directed graphs --- loop analysis |
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172 | (4) |
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176 | (2) |
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8 Trait-mediated indirect interactions |
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178 | (22) |
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Density-mediated indirect interactions |
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179 | (2) |
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Trait-mediated indirect interactions in principle: a basic nonlinearity |
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181 | (6) |
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Trait-mediated effects in the real world |
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187 | (4) |
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Consequences of trait-mediated indirect interactions |
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191 | (1) |
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191 | (5) |
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196 | (2) |
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198 | (2) |
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200 | (21) |
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Inevitability of surprise |
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200 | (1) |
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Loss of biodiversity: expected or surprise? |
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201 | (4) |
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Hysteresis on a global scale |
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205 | (3) |
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The surprise of the coffee rust disease |
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208 | (6) |
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Agricultural syndromes as hysteretic phenomena with tipping points |
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214 | (4) |
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Basin boundary collisions: chaos and catastrophe |
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218 | (1) |
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219 | (2) |
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10 The "scientific" basis of agroecology |
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221 | (14) |
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Complexity science and ecology |
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222 | (2) |
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The four pillars of agroecology |
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224 | (6) |
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The "whole" of agroecology |
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230 | (1) |
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Solving farmers' problems in the age of ecological complexity |
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231 | (2) |
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The importance of thought-intensive technology |
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233 | (2) |
References |
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235 | (12) |
Index |
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247 | |