2018
DOI: 10.1111/brv.12477
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Persistence and stochasticity are key determinants of genetic diversity in plants associated with banded iron formation inselbergs

Abstract: The high species endemism characteristic of many of the world's terrestrial island systems provides a model for studying evolutionary patterns and processes, yet there has been no synthesis of studies to provide a systematic evaluation of terrestrial island systems in this context. The banded iron formations (BIFs) of south-western Australia are ancient terrestrial island formations occurring within a mosaic of alluvial clay soils, sandplains and occasional granite outcropping, across an old, gently undulating… Show more

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Cited by 29 publications
(37 citation statements)
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“…Nonetheless, the effective size of E. caesia populations is substantially smaller than theoretical benchmark values ( N e of ≥100/1,000) for widespread continuously distributed or recently fragmented diploid sexual organisms to retain population viability in the short and long term (Frankham et al, ; Ralls et al, ). Multiple modes of reproduction, including asexual reproduction and therefore a capacity for extreme longevity of localized genets, are almost certainly paramount to the persistence of some small, naturally fragmented plant populations with small effective population sizes (Byrne et al, ; Peakall, Ebert, Scott, Meagher, & Offord, ; De Witte & Stöcklin, ).…”
Section: Discussionmentioning
confidence: 99%
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“…Nonetheless, the effective size of E. caesia populations is substantially smaller than theoretical benchmark values ( N e of ≥100/1,000) for widespread continuously distributed or recently fragmented diploid sexual organisms to retain population viability in the short and long term (Frankham et al, ; Ralls et al, ). Multiple modes of reproduction, including asexual reproduction and therefore a capacity for extreme longevity of localized genets, are almost certainly paramount to the persistence of some small, naturally fragmented plant populations with small effective population sizes (Byrne et al, ; Peakall, Ebert, Scott, Meagher, & Offord, ; De Witte & Stöcklin, ).…”
Section: Discussionmentioning
confidence: 99%
“…Population census size is suggested to be equivalent to effective population size in E. caesia, particularly for the smaller populations where most trees appear to produce seed and thus contribute to subsequent generations (Moran & Hopper, 1983) and in trees in general (Petit & Hampe, 2006 (Frankham et al, 2014;Ralls et al, 2018). Multiple modes of reproduction, including asexual reproduction and therefore a capacity for extreme longevity of localized genets, are almost certainly paramount to the persistence of some small, naturally fragmented plant populations with small effective population sizes (Byrne et al, 2018;Peakall, Ebert, Scott, Meagher, & Offord, 2003;De Witte & Stöcklin, 2010).…”
Section: Overestimation Of Census Population Sizementioning
confidence: 99%
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“…Analysis of evolutionary patterns in floras of granite and BIF inselbergs in the SWAFR shows that these landscape features are areas where species can persist through harsh climatic conditions. This leads to both diversity within, and differentiation among, inselbergs at both species and genetic levels (Byrne & Hopper, 2008;Byrne et al, 2018;Tapper et al, 2014aTapper et al, , 2014b.…”
Section: Species Richness Compositional Characteristics and Envirmentioning
confidence: 99%
“…While relatively little land area outside of the existing populations was predicted as habitat highly likely to support R. brevis, there were nevertheless five distinct uplifted BIF regions of approximately 1,500 km 2 that had a high modeled likelihood of supporting R. brevis (Figure 4a). Given that a number of very highly suitable habitats occur in the broader region that are uninhabited by this species, it seems likely that stochastic local extinctions have played a substantial role in the distribution of R. brevis, as with other flora species associated with BIF ranges in the region (Byrne et al, 2018). In this regard, the initial species distribution modeling approach based entirely on edaphic features, independent of the usual climatological data that informs correlative SDMs (e.g., Hijmans et al, 2005;Kearney, Isaac, et al, 2014) appears entirely suitable for the production of insightful high-resolution SDMs for SREs.…”
Section: Model Extrapolationsmentioning
confidence: 99%