Demographic history, not larval dispersal potential, explains differences in population structure of two New Zealand intertidal species

Arranz, Vanessa; Thakur, Vibha; Lavery, Shane

doi:10.1007/s00227-021-03891-2

Cited by 9 publications

(8 citation statements)

References 63 publications

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“…Importantly, if genetic diversity patterns were simply averaged across all species, as is commonly undertaken in comparative phylogeography studies (Miraldo et al, 2016;Selkoe et al, 2016), no geographic patterns would have been evident. This is best exemplified by comparing the maps of genetic diversity within each major cluster (Figure 3c) with those for all species combined (cluster 20: This pattern has already been documented in several of the species included in this cluster, such as P. novaezelandiae (Silva & Gardner, 2015), H. iris (Will et al, 2011), P. regularis (Ayers & Waters, 2005) and L. smaragda (Arranz et al, 2021). This spatial diversity distribution agrees with global patterns of genetic diversity, where high levels of genetic diversity are often expected at lower latitudes (Adams & Hadly, 2013), together with evidence that speciation rates are also higher in the tropics (Jablonski et al, 2006).…”

Section: Zealand Coastal Speciesmentioning

confidence: 76%

“…regularis (Ayers & Waters, 2005) and L . smaragda (Arranz et al, 2021). This spatial diversity distribution agrees with global patterns of genetic diversity, where high levels of genetic diversity are often expected at lower latitudes (Adams & Hadly, 2013), together with evidence that speciation rates are also higher in the tropics (Jablonski et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

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Genogeographic clustering to identify cross‐species concordance of spatial genetic patterns

Arranz

Fewster

Lavery

2022

Diversity and Distributions

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Section: Zealand Coastal Speciesmentioning

confidence: 76%

Section: Discussionmentioning

confidence: 99%

Genogeographic clustering to identify cross‐species concordance of spatial genetic patterns

Arranz

Fewster

Lavery

2022

Diversity and Distributions

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“…Lunella smaragdus (maximum PLD of 4 have been reported to have a genetic barrier in the East Cape region (Arranz et al, 2021b), with the East Cape Eddy suggested as a possible cause through larval retention (Chiswell and Roemmich, 1998). The far southwest region has not generally been recognized as a region of very low connectivity, although the individual fjords in this region are known to be somewhat isolated (Wing and Jack, 2014).…”

Section: Southwest (Between Dbs and Hmb) Several Species Includingmentioning

confidence: 99%

Spatial and temporal variation in the predicted dispersal of marine larvae around coastal Aotearoa New Zealand

Michie,

Lundquist,

Lavery

et al. 2024

Front. Mar. Sci.

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IntroductionPatterns of larval dispersal in the marine environment have many implications for population dynamics, biodiversity, fisheries, ecosystem function, and the effectiveness of marine protected areas. There is tremendous variation in factors that influence the direction and success of marine larval dispersal, making accurate prediction exceedingly difficult. The key physical factor is the pattern of water movement, while two key biological factors are the amount of time larvae spend drifting in the ocean (pelagic larval duration - PLD) and the time of the year at which adult populations release larvae. Here, we assess the role of these factors in the variation of predicted larval dispersal and settlement patterns from 15 locations around Aotearoa New Zealand.MethodsThe Moana Project Backbone circulation model paired with OpenDrift was used to simulate Lagrangian larval dispersal in the ocean with basic vertical control across four differing PLD groups (7, 14, 30, and 70 days) for each of twelve months. ResultsConsiderable variation was observed in the pattern of particle dispersal for each major variable: release location, PLD group, and the month of release. As expected, dispersal distances increased with PLD length, but the size of this effect differed across both release location and month. Increased and directional particle dispersal matched some expectations from well-known currents, but surprisingly high self-recruitment levels were recorded in some locations.DiscussionThese predictions of larval dispersal provide, for the first time, an empirical overview of coastal larval dispersal around Aoteaora New Zealand’s main islands and highlight potential locations of “barriers” to dispersal. This dataset should prove valuable in helping predict larval connectivity across a broad range of species in this environment for diverse purposes.

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“…In the marine realm the presence of planktonic larval and/or actively swimming stages in the organism's life cycle will increase the chances of a homogeneous genetic landscape in a population over a wide geographic area. This process has been studied in marine populations in all oceans both on a small and large scale (Pelc et al, 2009;Hoffman et al, 2011;Riginos et al, 2011;Dawson et al, 2014;Haye et al, 2014;Arranz et al, 2021;Blakeslee et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

mtDNA data reveal disparate population structures and High Arctic colonization patterns in three intertidal invertebrates with contrasting life history traits

Csapó,

Jabłońska,

Węsławski

et al. 2023

Front. Mar. Sci.

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IntroductionPost-glacial climate variation is known to have influenced the distribution of marine species in the North Atlantic. In particular, the Atlantic side of the Arctic has experienced strong fluctuations in both atmospheric and sea surface temperature, as well as seasonal ice coverage since the last glacial maximum (LGM). Here, we aim to unveil the phylogeography and historical demography of three rocky intertidal marine invertebrates showing a trans-Atlantic distribution and presently inhabiting the Arctic: Gammarus oceanicus, Littorina saxatilis and Semibalanus balanoides.MethodsWe used a large amount of mitochondrial DNA barcode data, both newly-obtained and stored in public databases. We performed phylogeographic and demographic analyses on 1119 G. oceanicus, 205 L. saxatilis, and 884 S. balanoides sequences.ResultsOur results show that all three of these boreal species have expanded their effective population sizes in the high Arctic Svalbard Archipelago since the LGM. Analyses investigating the origin of all these populations point to the eastern Atlantic.DiscussionBased on our results we conclude that the expansion of these boreal species to the Arctic possibly happened during an earlier warm cycle of the Holocene era, and is probably not the result of the recent ‘Atlantification’ of the Arctic. We also discuss the effects of dispersal potential on population structure as an important aspect of comparative biogeographical studies.

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Demographic history, not larval dispersal potential, explains differences in population structure of two New Zealand intertidal species

Cited by 9 publications

References 63 publications

Genogeographic clustering to identify cross‐species concordance of spatial genetic patterns

Genogeographic clustering to identify cross‐species concordance of spatial genetic patterns

Spatial and temporal variation in the predicted dispersal of marine larvae around coastal Aotearoa New Zealand

mtDNA data reveal disparate population structures and High Arctic colonization patterns in three intertidal invertebrates with contrasting life history traits

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