Title |
True lemurs…true species - species delimitation using multiple data sources in the brown lemur complex
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Published in |
BMC Ecology and Evolution, October 2013
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DOI | 10.1186/1471-2148-13-233 |
Pubmed ID | |
Authors |
Matthias Markolf, Hanitriniaina Rakotonirina, Claudia Fichtel, Phillip von Grumbkow, Markus Brameier, Peter M Kappeler |
Abstract |
Species are the fundamental units in evolutionary biology. However, defining them as evolutionary independent lineages requires integration of several independent sources of information in order to develop robust hypotheses for taxonomic classification. Here, we exemplarily propose an integrative framework for species delimitation in the "brown lemur complex" (BLC) of Madagascar, which consists of seven allopatric populations of the genus Eulemur (Primates: Lemuridae), which were sampled extensively across northern, eastern and western Madagascar to collect fecal samples for DNA extraction as well as recordings of vocalizations. Our data base was extended by including museum specimens with reliable identification and locality information for skull shape and pelage color analysis. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
Germany | 1 | 1% |
Portugal | 1 | 1% |
Brazil | 1 | 1% |
Serbia | 1 | 1% |
Unknown | 80 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 25% |
Student > Master | 19 | 22% |
Researcher | 15 | 17% |
Student > Bachelor | 6 | 7% |
Student > Postgraduate | 4 | 5% |
Other | 13 | 15% |
Unknown | 8 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 55 | 63% |
Environmental Science | 6 | 7% |
Earth and Planetary Sciences | 4 | 5% |
Biochemistry, Genetics and Molecular Biology | 3 | 3% |
Computer Science | 2 | 2% |
Other | 5 | 6% |
Unknown | 12 | 14% |