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Neureiter N, Ranacher P, van Gijn R, Bickel B, Weibel R. Can Bayesian phylogeography reconstruct migrations and expansions in linguistic evolution? ROYAL SOCIETY OPEN SCIENCE 2021; 8:201079. [PMID: 33614066 PMCID: PMC7890507 DOI: 10.1098/rsos.201079] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 12/11/2020] [Indexed: 05/22/2023]
Abstract
Bayesian phylogeography has been used in historical linguistics to reconstruct homelands and expansions of language families, but the reliability of these reconstructions has remained unclear. We contribute to this discussion with a simulation study where we distinguish two types of spatial processes: migration, where populations or languages leave one place for another, and expansion, where populations or languages gradually expand their territory. We simulate migration and expansion in two scenarios with varying degrees of spatial directional trends and evaluate the performance of state-of-the-art phylogeographic methods. Our results show that these methods fail to reconstruct migrations, but work surprisingly well on expansions, even under severe directional trends. We demonstrate that migrations and expansions have typical phylogenetic and spatial patterns, which in the one case inhibit and in the other facilitate phylogeographic reconstruction. Furthermore, we propose descriptive statistics to identify whether a real sample of languages, their relationship and spatial distribution, better fits a migration or an expansion scenario. Bringing together the results of the simulation study and theoretical arguments, we make recommendations for assessing the adequacy of phylogeographic models to reconstruct the spatial evolution of languages.
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Affiliation(s)
- Nico Neureiter
- University Research Priority Program (URPP) Language and Space, University of Zurich, Zurich, Switzerland
- Department of Geography, University of Zurich, Zurich, Switzerland
- Author for correspondence: Nico Neureiter e-mail:
| | - Peter Ranacher
- University Research Priority Program (URPP) Language and Space, University of Zurich, Zurich, Switzerland
- Department of Geography, University of Zurich, Zurich, Switzerland
| | - Rik van Gijn
- Department of Comparative Language Science, University of Zurich, Zurich, Switzerland
- Leiden University Centre for Linguistics, Leiden, The Netherlands
| | - Balthasar Bickel
- University Research Priority Program (URPP) Language and Space, University of Zurich, Zurich, Switzerland
- Department of Comparative Language Science, University of Zurich, Zurich, Switzerland
- Center for the Interdisciplinary Study of Language Evolution (ISLE), University of Zurich, Zurich, Switzerland
| | - Robert Weibel
- University Research Priority Program (URPP) Language and Space, University of Zurich, Zurich, Switzerland
- Department of Geography, University of Zurich, Zurich, Switzerland
- Center for the Interdisciplinary Study of Language Evolution (ISLE), University of Zurich, Zurich, Switzerland
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Sheard C, Bowern C, Dockum R, Jordan FM. Pama-Nyungan grandparent systems change with grandchildren, but not cross-cousin terms or social norms. EVOLUTIONARY HUMAN SCIENCES 2020; 2:e30. [PMID: 35663513 PMCID: PMC7612801 DOI: 10.1017/ehs.2020.31] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Kinship is a fundamental and universal aspect of the structure of human society. The kinship category of 'grandparents' is socially salient, due to grandparents' investment in the care of the grandchildren as well as to older generations' control of wealth and cultural knowledge, but the evolutionary dynamics of grandparent terms has yet to be studied in a phylogenetically explicit context. Here, we present the first phylogenetic comparative study of grandparent terms by investigating 134 languages in Pama-Nyungan, an Australian family of hunter-gatherer languages. We infer that proto-Pama-Nyungan had, with high certainty, four separate terms for grandparents. This state then shifted into either a two-term system that distinguishes the genders of the grandparents or a three-term system that merges the 'parallel' grandparents, which could then transition into a different three-term system that merges the 'cross' grandparents. We find no support for the co-evolution of these systems with either community marriage organisation or post-marital residence. We find some evidence for the correlation of grandparent and grandchild terms, but no support for the correlation of grandparent and cross-cousin terms, suggesting that grandparents and grandchildren potentially form a single lexical category but that the entire kinship system does not necessarily change synchronously.
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Affiliation(s)
- Catherine Sheard
- School of Earth Sciences, University of Bristol, BristolBS8 1TQ, UK
- Department of Anthropology and Archaeology, University of Bristol, BristolBS8 1UU, UK
| | - Claire Bowern
- Department of Linguistics, Yale University, New Haven. CT06520, USA
| | - Rikker Dockum
- Department of Linguistics, Yale University, New Haven. CT06520, USA
| | - Fiona M. Jordan
- Department of Anthropology and Archaeology, University of Bristol, BristolBS8 1UU, UK
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Abstract
It remains a mystery how Pama-Nyungan, the world's largest hunter-gatherer language family, came to dominate the Australian continent. Some argue that social or technological advantages allowed rapid language replacement from the Gulf Plains region during the mid-Holocene. Others have proposed expansions from refugia linked to climatic changes after the last ice age or, more controversially, during the initial colonization of Australia. Here, we combine basic vocabulary data from 306 Pama-Nyungan languages with Bayesian phylogeographic methods to explicitly model the expansion of the family across Australia and test between these origin scenarios. We find strong and robust support for a Pama-Nyungan origin in the Gulf Plains region during the mid-Holocene, implying rapid replacement of non-Pama-Nyungan languages. Concomitant changes in the archaeological record, together with a lack of strong genetic evidence for Holocene population expansion, suggests that Pama-Nyungan languages were carried as part of an expanding package of cultural innovations that probably facilitated the absorption and assimilation of existing hunter-gatherer groups.
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Willems M, Lord E, Laforest L, Labelle G, Lapointe FJ, Di Sciullo AM, Makarenkov V. Using hybridization networks to retrace the evolution of Indo-European languages. BMC Evol Biol 2016; 16:180. [PMID: 27600442 PMCID: PMC5012036 DOI: 10.1186/s12862-016-0745-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 08/17/2016] [Indexed: 11/24/2022] Open
Abstract
Background Curious parallels between the processes of species and language evolution have been observed by many researchers. Retracing the evolution of Indo-European (IE) languages remains one of the most intriguing intellectual challenges in historical linguistics. Most of the IE language studies use the traditional phylogenetic tree model to represent the evolution of natural languages, thus not taking into account reticulate evolutionary events, such as language hybridization and word borrowing which can be associated with species hybridization and horizontal gene transfer, respectively. More recently, implicit evolutionary networks, such as split graphs and minimal lateral networks, have been used to account for reticulate evolution in linguistics. Results Striking parallels existing between the evolution of species and natural languages allowed us to apply three computational biology methods for reconstruction of phylogenetic networks to model the evolution of IE languages. We show how the transfer of methods between the two disciplines can be achieved, making necessary methodological adaptations. Considering basic vocabulary data from the well-known Dyen’s lexical database, which contains word forms in 84 IE languages for the meanings of a 200-meaning Swadesh list, we adapt a recently developed computational biology algorithm for building explicit hybridization networks to study the evolution of IE languages and compare our findings to the results provided by the split graph and galled network methods. Conclusion We conclude that explicit phylogenetic networks can be successfully used to identify donors and recipients of lexical material as well as the degree of influence of each donor language on the corresponding recipient languages. We show that our algorithm is well suited to detect reticulate relationships among languages, and present some historical and linguistic justification for the results obtained. Our findings could be further refined if relevant syntactic, phonological and morphological data could be analyzed along with the available lexical data. Electronic supplementary material The online version of this article (doi:10.1186/s12862-016-0745-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Matthieu Willems
- Department of Computer Science, Université du Québec à Montréal, Case postale 8888, succursale Centre-ville, Montréal, Québec, H3C 3P8, Canada
| | - Etienne Lord
- Department of Computer Science, Université du Québec à Montréal, Case postale 8888, succursale Centre-ville, Montréal, Québec, H3C 3P8, Canada.,Department of Biological Sciences, Université de Montréal, C.P. 6128 succ. Centre-Ville, Montreal, Quebec, H3C 3J7, Canada
| | - Louise Laforest
- Department of Computer Science, Université du Québec à Montréal, Case postale 8888, succursale Centre-ville, Montréal, Québec, H3C 3P8, Canada
| | - Gilbert Labelle
- Department of Mathematics, Université du Québec à Montréal, Case postale 8888, succursale Centre-ville, Montréal, Québec, H3C 3P8, Canada
| | - François-Joseph Lapointe
- Department of Biological Sciences, Université de Montréal, C.P. 6128 succ. Centre-Ville, Montreal, Quebec, H3C 3J7, Canada
| | - Anna Maria Di Sciullo
- Department of Linguistics, Université du Québec à Montréal, Case postale 8888, succursale Centre-ville, Montréal, Québec, H3C 3P8, Canada
| | - Vladimir Makarenkov
- Department of Computer Science, Université du Québec à Montréal, Case postale 8888, succursale Centre-ville, Montréal, Québec, H3C 3P8, Canada.
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Bowern C, Haynie H, Sheard C, Alpher B, Epps P, Hill J, McConvell P. Loan and Inheritance Patterns in Hunter-Gatherer Ethnobiological Systems. J ETHNOBIOL 2014. [DOI: 10.2993/0278-0771-34.2.195] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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