Drivers of species knowledge across the tree of life
- Molecular Ecology Group (MEG), Water Research Institute (CNR-IRSA), National Research Council, Italy
- Laboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History (LUOMUS), University of Helsinki, Finland
- National Biodiversity Future Center, Italy
- Department of Life Sciences and Systems Biology, University of Turin, Italy
- University of Belgrade - Faculty of Biology, Serbia
- Royal Botanic Gardens, United Kingdom
- School of Molecular and Life Sciences, Curtin University, Australia
- Department of Aquaculture, Isparta University of Applied Sciences, Turkey
- CIIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Portugal
- Department of Biology and Biotechnologies “Charles Darwin”, Sapienza University of Rome, Italy
- CBMA – Centre of Molecular and Environmental Biology, Department of Biology, University of Minho, Portugal
- Instituto de Investigaciones Marinas, CSIC, Eduardo Cabello, Spain
- Department of Biodiversity and Evolutionary Biology, Museo Nacional de Ciencias Naturales, Spain
- Helsinki Lab of Interdisciplinary Conservation Science (HELICS), Department of Geosciences and Geography, University of Helsinki, Finland
- Helsinki Institute of Sustainability Science (HELSUS), University of Helsinki, Finland
- CESAM – Centre for Environmental and Marine Studies, University of Aveiro, Portugal
- Biodiversity Unit, University of Turku, Finland
Figures
Figure 1 with 2 supplements
Relationship between societal and scientific interest across the eukaryotic Tree of Life.
(A) Relationship between number of views in Wikipedia (popular interest) and number of papers in the Web of Science (scientific interest) for each species. Both axes are log-scaled to ease …
Figure 1—figure supplement 1
Global distribution of the sampled species.
Maps are based on the centroid of the distribution of each species, hence only species for which distribution points were available in the Global Biodiversity Information Facility are depicted (89%, …
Figure 1—figure supplement 2
Breakdown of scientific (A) and societal (B) interest by phylum, as well as the number of sampled species (C).
Jittered points are the actual values; boxplots summarize median and quantiles. Both axes are log-scaled to ease visualization.
Figure 2
Influence of species-level traits (blue) and cultural factors (red) on relative scientific and societal interest for different taxa.
Forest plots summarize the estimated parameters based on Gaussian linear mixed models testing the relationship between residuals from the regression line in Figure 1A and species-level traits. …
Figure 3
Influence of species-level traits (blue) and cultural factors (red) on the scientific and societal interest across the eukaryotic Tree of Life.
(A) Forest plots summarize the estimated parameters based on negative binomial generalized linear mixed models (Equation 1). Baseline levels for multilevel factor variables are: Domain (Multiple) …
Figure 4
Influence of species-level traits (blue) and cultural factors (red) on scientific (A) and societal (B) interest for Arthopoda, Chordata, and Tracheophyta.
Forest plots summarize the estimated parameters based on negative binomial generalized linear mixed models (Equation 2). Baseline levels for multilevel factor variables are: Domain (Multiple) and …
Additional files
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Supplementary file 1
Estimated parameters for the regression models.
(a) Estimated regression parameters for the full models. (b) Estimated regression parameters for the subset models modeling the number of papers in the Web of Science. (c) Estimated regression parameters for the subset models modeling the number of views in Wikipedia.
- https://cdn.elifesciences.org/articles/88251/elife-88251-supp1-v1.docx
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MDAR checklist
- https://cdn.elifesciences.org/articles/88251/elife-88251-mdarchecklist1-v1.docx
