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1
Environmental conditions do not predict diversification rates in the Bantu languages. ...
Beyer, Robert
;
Singarayer, Joy S
;
Stock, Jay T
;
Manica, Andrea
. - : Apollo - University of Cambridge Repository, 2019
Abstract:
The global distribution of language diversity mirrors that of several variables related to ecosystem productivity. It has been argued that this is driven by the size of social networks, which tend to be larger in harsher climates to ensure food security, leading to reduced language divergence. Is this pattern purely synchronic, or is there also a quantifiable relationship between environmental conditions and language diversification over time? We used a spatio-temporal phylogeny of the Bantu language family to estimate local diversification rates at the times and locations of language divergence. We compared these data against spatially-explicit reconstructions of several palaeoclimate and palaeovegetation variables (mean annual temperature and the temperature of the coldest and warmest quarter, annual precipitation and the precipitation of the wettest and driest quarter, growing degree days, the length of the growing season, and net primary production), to investigate a potential link between local ...
Keyword:
Climatology
;
Ecology
;
Environmental Risk Hypothesis
;
Environmental science
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FOS Biological sciences
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FOS Languages and literature
;
Isolation By Distance
;
Language Phylogeny
;
Linguistic Diversity
;
Linguistics
;
Palaeoclimate Modelling
;
Paleoecology
;
Population dynamics
URL:
https://dx.doi.org/10.17863/cam.46728
https://www.repository.cam.ac.uk/handle/1810/299657
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Environmental conditions do not predict diversification rates in the Bantu languages.
Beyer, Robert
;
Singarayer, Joy S
;
Stock, Jay T
...
In: nlmid: 101672560 ; essn: 2405-8440 (2019)
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