DC1


■4.1 Introduction

  • これまでの色々なMeta-popモデルの流れ
    • Source-sink dynamics
    • Immigration and emigration on local population
    • habitat selection application
    • indicidual based movement
      --> multi species metapopulation ==  Metacommunities
    • spatial contimuum model to spatial PVA (Ch.3)

□□SPOM(確率的パッチ占有モデル) and deterministic approximation (Ch.4)

  • Model charactoristics
    • classical local population was captured
    • belongs to island model (important also in evolution and genetics)
    • often allow rigorous mathematical analysis
    • good to model real metapopulations in "highly fragmented landscape"
    • can be parametarized from empirical data (Ch.5)
  • Butterfly distribution
    • Fig4.1 地図とパッチのネットワーク

■■Stochastic patch occupancy models

■4.2 Patch occupancy models :Homogeneous patch network

■■Levins metapopulation model(メタ個体群モデルの母)


■■BOX 4.1 The stochastic logistic model

■■BOX 4.2 Quasistationary Distributions and Extinction Times

■4.3 Patch occupancy models : Heterogeneous patch network

■■Spatially realistic metapopulation theory

■■Spatially realistic Levins model(SRLM)


■■■Local extinction

■■■Colonization

■■BOX 4.3 Dispersal Kernels

■■Incidence function model(IFM)

■4.4 Deterministic theory


■■Metapopulation capacity

■■Classification of SPOMs

■■Patch values

■■Transient dynamics

■4.5 Stochastic theory


■■Effective metapopulation size

■■Spatially correlated and temporally varying environmental conditions

■4.6 Comparison with other modeling approaches

■4.7 Current state of the theory and applications

■4.8 Links with landscape ecology, epidemiology, and matrix population models

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