ReviewAnimals : an open access journal from MDPI2021
Does Social Complexity Drive Vocal Complexity? Insights from the Two African Elephant Species.
Review in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Article
- Female African elephant rumbles differ between populations and sympatric social groups.Royal Society open science · 2024Article
- BASSA: New software tool reveals hidden details in visualisation of low-frequency animal sounds.Ecology and evolution · 2024Article
- Dynamic Leadership Mechanism in Homing Pigeon Flocks.Biomimetics (Basel, Switzerland) · 2024Article
- Article
- Early detection of human impacts using acoustic monitoring: An example with forest elephants.PloS one · 2024Article
- Identifying the Effects of Social Disruption through Translocation on African Elephants (Animals : an open access journal from MDPI · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The social complexity hypothesis (SCH) for communication states that the range and frequency of social interactions drive the evolution of complex communication systems. Surprisingly, few studies have empirically tested the SHC for vocal communication systems. Filling this gap is important because a co-evolutionary runaway process between social and vocal complexity may have shaped the most intricate communication system, human language. We here propose the African elephant
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.