The Markovian Patch-Occupancy (MPO) framework in Community Ecology

author: Omri Allouch, The Hebrew University of Jerusalem
published: Oct. 15, 2008,   recorded: September 2008,   views: 3152

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Description

Ecological research over the years has pointed to the existence of a wide spectrum of 'semi-universal' patterns of species diversity, found over very different life forms and ecosystems (e.g., the species-area relationship, the productivity-diversity relationship, the local-regional diversity relationship, etc.). We present the Markovian Patch-Occupancy (MPO) framework as a powerful platform for analyzing the mechanisms underlying these patterns. The MPO framework uses a stochastic individual-based model of an ecological community, based on the theory of Markov processes. The analytically-tractable model is both general and highly flexible, and can easily incorporate a wide spectrum of ecological factors including the effects of area, geographical isolation, habitat loss, habitat heterogeneity, life-history characteristics and trade-offs, density dependence, community-level carrying capacity, competition for space, various forms of dispersal (random dispersal, preference for unoccupied sites, preference for suitable habitats), and complete flexibility in the demographic rates of individual species. The MPO framework can be used to formulate and solve modern models of the neutral theory, and is capable of explaining a surprisingly wide spectrum of the 'semi-universal' patterns of species diversity. The generality, high flexibility and analytic tractability of the MPO framework make it a powerful platform for other research fields as well.

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Download slides icon Download slides: ephdcs08_allouche_tmpo_01.pdf (1.1 MB)

Download slides icon Download slides: ephdcs08_allouche_tmpo_01.ppt (6.9 MB)


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Reviews and comments:

Comment1 Frida Lasram, December 1, 2008 at 6:52 p.m.:

Well done Omri! Very informative and worth seeing talk!


Comment2 Yukiolsa, November 15, 2023 at 10:02 a.m.:

The MPO framework's high degree of flexibility, versatility, and analytical tractability make it a potent foundation for use in various other study domains. https://geometrydash-full.com/

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