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Evolution within a language: environmental differences contribute to divergence of dialect groups

Overview of attention for article published in BMC Ecology and Evolution, September 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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1 news outlet
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1 blog
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Title
Evolution within a language: environmental differences contribute to divergence of dialect groups
Published in
BMC Ecology and Evolution, September 2018
DOI 10.1186/s12862-018-1238-6
Pubmed ID
Authors

Terhi Honkola, Kalle Ruokolainen, Kaj J. J. Syrjänen, Unni-Päivä Leino, Ilpo Tammi, Niklas Wahlberg, Outi Vesakoski

Abstract

The processes leading to the diversity of over 7000 present-day languages have been the subject of scholarly interest for centuries. Several factors have been suggested to contribute to the spatial segregation of speaker populations and the subsequent linguistic divergence. However, their formal testing and the quantification of their relative roles is still missing. We focussed here on the early stages of the linguistic divergence process, that is, the divergence of dialects, with a special focus on the ecological settings of the speaker populations. We adopted conceptual and statistical approaches from biological microevolution and parallelled intra-lingual variation with genetic variation within a species. We modelled the roles of geographical distance, differences in environmental and cultural conditions and in administrative history on linguistic divergence at two different levels: between municipal dialects (cf. in biology, between individuals) and between dialect groups (cf. in biology, between populations). We found that geographical distance and administrative history were important in separating municipal dialects. However, environmental and cultural differences contributed markedly to the divergence of dialect groups. In biology, increase in genetic differences between populations together with environmental differences may suggest genetic differentiation of populations through adaptation to the local environment. However, our interpretation of this result is not that language itself adapts to the environment. Instead, it is based on Homo sapiens being affected by its environment, and its capability to adapt culturally to various environmental conditions. The differences in cultural adaptations arising from environmental heterogeneity could have acted as nonphysical barriers and limited the contacts and communication between groups. As a result, linguistic differentiation may emerge over time in those speaker populations which are, at least partially, separated. Given that the dialects of isolated speaker populations may eventually evolve into different languages, our result suggests that cultural adaptation to local environment and the associated isolation of speaker populations have contributed to the emergence of the global patterns of linguistic diversity.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Student > Master 10 20%
Student > Doctoral Student 5 10%
Student > Bachelor 3 6%
Lecturer 1 2%
Other 4 8%
Unknown 16 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 22%
Environmental Science 6 12%
Biochemistry, Genetics and Molecular Biology 4 8%
Linguistics 4 8%
Psychology 3 6%
Other 6 12%
Unknown 16 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 October 2022.
All research outputs
#1,011,068
of 25,385,509 outputs
Outputs from BMC Ecology and Evolution
#216
of 3,714 outputs
Outputs of similar age
#21,474
of 345,580 outputs
Outputs of similar age from BMC Ecology and Evolution
#3
of 50 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 345,580 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.