2000
DOI: 10.1006/tpbi.2000.1456
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Species Coexistence by Permanent Spatial Heterogeneity in a Lottery Model

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Cited by 59 publications
(44 citation statements)
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References 30 publications
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“…Most marine species for example disperse through pelagic larvae stages (Roughgarden et al, 1988;Muko and Iwasa, 2000). Since they are exposed to the same environmental influences and originate simultaneously from a specific location, they often behave as a swarm and disperse as a group (Hofmann et al, 1998;Flierl et al, 1999;Lockwood et al, 2002).…”
Section: Introductionmentioning
confidence: 99%
“…Most marine species for example disperse through pelagic larvae stages (Roughgarden et al, 1988;Muko and Iwasa, 2000). Since they are exposed to the same environmental influences and originate simultaneously from a specific location, they often behave as a swarm and disperse as a group (Hofmann et al, 1998;Flierl et al, 1999;Lockwood et al, 2002).…”
Section: Introductionmentioning
confidence: 99%
“…Their model includes multiple habitats, each of which has different mortality and natality rates of the species. Their study shows that the spatial heterogeneity of mortality rates promotes coexistence of species, but that spatial heterogeneity of natality rates does not [10]. From these two studies, we see that the spatial heterogeneity can promote coexistence in a lottery model.…”
Section: P I (T + 1) = (1 − δ I (T))p I (T) + S(p 1 (T) P N mentioning
confidence: 76%
“…Additionally, Dewi and Chesson [8] studied a lottery model with a stage structure and Comins and Noble [9] studied the model with heterogeneous patches. The recent works of Muko and Iwasa [10,11] considered another mechanism that promotes coexistence in the standard lottery model, namely, spatial heterogeneity. Their model includes multiple habitats, each of which has different mortality and natality rates of the species.…”
Section: P I (T + 1) = (1 − δ I (T))p I (T) + S(p 1 (T) P N mentioning
confidence: 99%
“…Perhaps more importantly, spatial inheritability explicitly accounts for inconstant but autocorrelated environments and unifies dispersal characteristics and the spatiotemporal pattern of suitability into a single parameter. Previous analytical frameworks for modeling population dynamics in heterogeneous space have typically been restricted to situations in which the environmental pattern is constant over time (Muko and Iwasa 2000, Bolker 2003, Snyder and Chesson 2003, Goodwin et al 2005 or is redistributed completely between generations (May 1978). Although some fitnessrelated factors (e.g., topography) are essentially fixed, others (e.g., local weather) have little continuity over time, others may be autoregressive, and still others, like the home ranges of long-lived predators, may themselves move in space at a characteristic rate.…”
Section: Discussionmentioning
confidence: 99%