The Influence of Climate on Shell Variation in <i>Trochulus striolatus</i> (C. Pfeiffer, 1828) (Gastropoda: Hygromiidae) and Its Implications for Subspecies Taxonomy

Proćków, Małgorzata; Kuźnik-Kowalska, Elżbieta; Mackiewicz, Paweł

doi:10.3161/00034541anz2017.67.2.002

Cited by 11 publications

(22 citation statements)

References 60 publications

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“…Manuscript to be reviewed in the northern region (1,702-2,400 m asl) was lower than the altitudinal interval in which the populations in the southern region were collected (2,587-2,759 m asl), which was consistent with the results previously found in intrapopulation studies of the species of the genera Arianta, Vestia and Trochulus (Burla and Stahel 1983;Baur and Raboud 1988;Sulikowska-Drozd 2001;Proćków et al 2017), where the populations from colder climates had smaller shells. This could be related to a greater probability of survival of organisms with small shells in unfavorable climatic conditions (Baur et al 2014) and the greater resistance to crystallization temperatures (Ansart et al 2014).…”

Section: Variation Of the Shell In H Durangoensissupporting

confidence: 85%

“…2). However, whereas these variables were not significant to explain the genetic relationships among the groups, they suggested that both the phenotype and genotype were the results of independent processes (Haase and Misof 2009); that is, the microhabitat conditions had a great effect on the shell despite the existence of gene flow (Chiba and Davison 2007;Fiorentino et al 2013;Stankowski 2013;Proćków et al 2017). Thus, whereas it has been suggested that the use of comparative phylogenetic methods at intrapopulation levels may generate poor informative results (Niewiarowski et al 2004), the power of resolution of these methods may depend on the taxon and the assessed trait (Martins and Housworth 2002), as has been found in this study.…”

Section: Variation Of the Shell In H Durangoensismentioning

confidence: 97%

“…This could be related to a greater probability of survival of organisms with small shells in unfavorable climatic conditions (Baur et al 2014) and the greater resistance to crystallization temperatures (Ansart et al 2014). At the same time, at higher altitudes, the duration of individual growth time is shorter (Anderson et al 2007;Proćków et al 2017). However, there were also differences in the sizes of the aperture and the heights of the spires between the north and south regions.…”

Section: Variation Of the Shell In H Durangoensismentioning

confidence: 99%

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Peer Review #1 of "The effect of landscape on functional connectivity and shell shape in the land snail Humboldtiana durangoensis (v0.1)"

2020

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The populations of Humboldtiana durangoensis have experienced a drastic reduction in the effective population size; in addition, the species is threatened by anthropogenic activities. For the aforementioned, landscape genetics will serve as a tool to define the potential evolutionarily significant units (ESU) for this species. To complete our objective, we evaluated the effect of cover vegetation and climate on the functional connectivity of the species from the Last Glacial Maximum (LGM) to the present as well as the effect of climate on shell shape. Partial Mantel tests, distance-based redundance analysis and a Bayesian framework were used to evaluate connectivity. On the other hand, geometric morphometrics, phylogenetic principal component analysis and redundancy analysis were used for the analysis of shell shape. Our results suggest that the suitable areas have been decreasing since the LGM; also, vegetation cover rather than climate has influenced the genetic connectivity among land snail populations, although temperature had a high influence on shell shape in this species. In conclusion, vegetation cover was the main factor that determined the functional connectivity for the land snail; on the other hand,the different phenotypes in shell shape allowed us to postulate that each one of the previously defined genetic groups must be considered as a different ESU.

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Section: Variation Of the Shell In H Durangoensissupporting

confidence: 85%

Section: Variation Of the Shell In H Durangoensismentioning

confidence: 97%

Section: Variation Of the Shell In H Durangoensismentioning

confidence: 99%

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Peer Review #1 of "The effect of landscape on functional connectivity and shell shape in the land snail Humboldtiana durangoensis (v0.1)"

2020

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“…Blanckenhorn 1997, Fischer & Fiedler 2002, Chown & Klok 2003, Blanckenhorn & Demont 2004, Puzin et al 2014, Horne et al 2015, Ramírez-Delgado et al 2016. While this pattern is also present when comparing the SW and NE populations of X. obvia in this study and might reflect the same constraints, this is not reflected so consistently among snails (Baur & Raboud 1988, Gittenberger 1991, Kotsakiozi et al 2013, Giokas et al 2014, Proćków et al 2017). An extensive literature review (Goodfriend 1986) noted some individualistic responses in body size of land snails along altitudinal, moisture, temperature/insolation and calcium availability gradients.…”

Section: Discussionmentioning

confidence: 46%

Shell morphology, growth pattern and population dynamics of the land snail Xerolenta obvia (Menke, 1828) in two areas of different climatic conditions within a temperate climate region

Marzec¹,

Kuźnik-Kowalska²,

Proćków³

2020

Acta Zool Acad Sci H

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To determine the relative role of climatic variables (temperature and precipitation) on land snail Xerolenta obvia populations, field surveys were conducted in Poland at two sites (SW and NE) with striking differences in climatic regime during two growing seasons. In a temperate climate of Central Europe X. obvia is an annual species with the majority of snails hatching in autumn. They overwinter as juveniles, continue their growth in spring and summer, and reproduce in the following autumn. Due to the comparatively milder climate, the SW population is more plastic, some individuals can live and reproduce longer. The two variants of the growth model are presented. We found that the length of growing season and temperature were additional factors determining differences in snails' growth and population dynamics between the sites. The growth rate of X. obvia is negatively correlated with the initial size of their shells and varies among sites. These two geographically distant populations differ in terms of their shell size and morphology. The SW population is characterised by larger, dark banded shells compared to the NE one, which is dominated by snails with smaller, white shells. A pattern of decreasing body size in areas with shorter growing season may explain differences in the shell size of X. obvia. Larger shells in regions with warmer and drier environment perhaps constitute responses to selection by environmental factors.

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“…In an extensive literature review shell size in terrestrial gastropods individualistic responses have been noted along moisture, temperature/insolation, and calcium availability gradients (Goodfriend, 1986), although the author could not identify universal ecological predictors. Most likely synergetic interactions between them could be the best explanation of the size variations resulting from the influence of local environmental and/or climate factors (Proćków et al, 2017), where maximum sizes are attained at environmental optima (Rensch, 1932(Rensch, , 1939Терентьев, 1970). Our assumption is that these conditions are adequately reflected in the projected habitat quality for the species.…”

Section: Relationships Between Body Size and Habitat Qualitymentioning

confidence: 99%

Associations Between Habitat Quality And Body Size In The Carpathian Land SnailVestia turgida: Species Distribution Model Selection And Assessment Of Performance

Tytar

Baidashnikov²

2020

Preprint

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Associations between habitat quality and body size in the Carpathian land snail Vestia turgida: species distribution model selection and assessment of performance. Tytar V., Baidashnikov O. -Species distribution models (SDMs) are generally thought to be good indicators of habitat suitability, and thus of species' performance, consequently SDMs can be validated by checking whether the areas projected to have the greatest habitat quality are occupied by individuals or populations with higher than average fitness. We hypothesized a positive and statistically significant relationship between observed in the field body size of the snail V. turgida and modelled habitat suitability, tested this relationship with linear mixed models, and found that indeed, larger individuals tend to occupy high-quality areas, as predicted by the SDMs. However, by testing several SDM algorithms, we found varied levels of performance in terms of expounding this relationship. Marginal R 2 , expressing the variance explained by the fixed terms in the regression models, was adopted as a measure of functional accuracy, and used to rank the SDMs accordingly. In this respect, the Bayesian additive regression trees (BART) algorithm (Carlson, 2020) gave the best result, despite the low AUC and TSS. By restricting our analysis to the BART algorithm only, a variety of sets of environmental variables commonly or less used in the construction of SDMs were explored and tested according to their functional accuracy. In this respect, the SDM produced using the ENVIREM data set (Title, Bemmels, 2018) gave the best result.

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The Influence of Climate on Shell Variation in Trochulus striolatus (C. Pfeiffer, 1828) (Gastropoda: Hygromiidae) and Its Implications for Subspecies Taxonomy

Cited by 11 publications

References 60 publications

Peer Review #1 of "The effect of landscape on functional connectivity and shell shape in the land snail Humboldtiana durangoensis (v0.1)"

Peer Review #1 of "The effect of landscape on functional connectivity and shell shape in the land snail Humboldtiana durangoensis (v0.1)"

Shell morphology, growth pattern and population dynamics of the land snail Xerolenta obvia (Menke, 1828) in two areas of different climatic conditions within a temperate climate region

Associations Between Habitat Quality And Body Size In The Carpathian Land SnailVestia turgida: Species Distribution Model Selection And Assessment Of Performance

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