ArticleProceedings. Biological sciences2014
Spatial congruence in language and species richness but not threat in the world's top linguistic hotspot.
Article in Proceedings. Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Ecological-Linguistic Overlap: The Spatial Congruence Between Giant Panda (Ecology and evolution · 2026Article
- Article
- Neighbours and relatives: accounting for spatial distribution when testing causal hypotheses in cultural evolution.Evolutionary human sciences · 2023Article
- Language endangerment: Using analytical methods from conservation biology to illuminate loss of linguistic diversity.Cambridge prisms. Extinction · 2023Review
- The network nature of language endangerment hotspots.Scientific reports · 2022Article
- Language barriers in global bird conservation.PloS one · 2022Article
- Review
- Links between language diversity and species richness can be confounded by spatial autocorrelation.Proceedings. Biological sciences · 2015Article
- Spatial autocorrelation and congruence in the distribution of language and mammal richness: a reply to Cardillo et al. (2015).Proceedings. Biological sciences · 2015Article
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Abstract
Languages share key evolutionary properties with biological species, and global-level spatial congruence in richness and threat is documented between languages and several taxonomic groups. However, there is little understanding of the functional connection between diversification or extinction in languages and species, or the relationship between linguistic and species richness across different spatial scales. New Guinea is the world's most linguistically rich region and contains extremely high biological diversity. We demonstrate significant positive relationships between language and mammal richness in New Guinea across multiple spatial scales, revealing a likely functional relationship over scales at which infra-island diversification may occur. However, correlations are driven by spatial congruence between low levels of language and species richness. Regional biocultural richness may have showed closer congruence before New Guinea's linguistic landscape was altered by Holocene demographic events. In contrast to global studies, we demonstrate a significant negative correlation across New Guinea between areas with high levels of threatened languages and threatened mammals, indicating that landscape-scale threats differ between these groups. Spatial resource prioritization to conserve biodiversity may not benefit threatened languages, and conservation policy must adopt a multi-faceted approach to protect biocultural diversity as a whole.
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