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MOSAIC: A Unified Trait Database to Complement Structured Population Models

Connor Bernard, Gabriel Silva Santos, Jacques Deere, Roberto Rodriguez-Caro, Pol Capdevila, Erik Kusch, Samuel J L Gascoigne, John Jackson, Roberto Salguero-Gómez
doi: https://doi.org/10.1101/2022.03.09.483599
Connor Bernard
1Department of Zoology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
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  • For correspondence: connor.bernard@zoo.ox.ac.uk
Gabriel Silva Santos
1Department of Zoology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
2Department of Ecology, Rio de Janeiro State University, Rio de Janeiro, Brazil
3Instituto Nacional da Mata Atlântica, INMA, Santa Teresa, Brazil
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Jacques Deere
1Department of Zoology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
4Department of Evolutionary and Population Biology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1012 WX Amsterdam, Netherlands
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Roberto Rodriguez-Caro
1Department of Zoology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
5Departamento de Biología Aplicada. Universidad Miguel Hernández. Av. Universidad, s/n, 03202 Elche (Alicante) Spain
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Pol Capdevila
1Department of Zoology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
6School of Biological Sciences, University of Bristol, 24 Tyndall Ave, Bristol BS8 1TQ, United Kingdom
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Erik Kusch
7Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Section for Ecoinformatics & Biodiversity, Department of Biology, Aarhus University Centre for Biodiversity and Conservation Science, University of Queensland, St. Lucia, QLD, Australia
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Samuel J L Gascoigne
1Department of Zoology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
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John Jackson
1Department of Zoology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
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Roberto Salguero-Gómez
1Department of Zoology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
7Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Section for Ecoinformatics & Biodiversity, Department of Biology, Aarhus University Centre for Biodiversity and Conservation Science, University of Queensland, St. Lucia, QLD, Australia
8Evolutionary Demography Laboratory, Max Plank Institute for Demographic Research, Rostock, Germany
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Abstract

  1. The ecological sciences have joined the big data revolution. However, despite exponential growth in data availability, broader interoperability amongst datasets is still needed to unlock the potential of open access. The interface of demography and functional traits is well-positioned to benefit from said interoperability. Trait-based ecological approaches have been criticised because of their inability to predict fitness components, the core of demography; likewise, demographic approaches are data-hungry, and so using traits as ecological shortcuts to understanding and forecasting population viability could offer great value.

  2. Here, we introduce MOSAIC, an open-access trait database that unlocks the demographic potential stored in the COMADRE, COMPADRE, and PADRINO open-access databases. MOSAIC data have been digitised and curated through a combination of existing datasets and additional taxonomic and/or trait records sourced from primary literature. In its first release, MOSAIC (v. 1.0.0) includes 14 trait fields for 300 animal and plant species: biomass, height, growth determination, regeneration, sexual dimorphism, mating system, hermaphrodism, sequential hermaphrodism, dispersal capacity, type of dispersal, mode of dispersal, dispersal classes, volancy, and aquatic habitat dependency. MOSAIC also includes species-level phylogenies for 1,359 species and population-specific climate data where locations are recorded.

  3. Using MOSAIC, we highlight a taxonomic mismatch of widely used trait databases with existing structured population models. Despite millions of trait records available in open- access databases, taxonomic overlap between open-access demographic and trait databases is <5%. We identify where traits of interest to ecologists can benefit from database integration and start to quantify traits that are poorly quantified (e.g., growth determination, modularity).

  4. The MOSAIC database evidences the importance of improving interoperability in open- access efforts in ecology as well as the need for complementary digitisation to fill targeted taxonomic gaps. In addition, MOSAIC highlights emerging challenges associated with the disparity between locations where different trait records are sourced.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://mosaicdatabase.web.ox.ac.uk/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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MOSAIC: A Unified Trait Database to Complement Structured Population Models
Connor Bernard, Gabriel Silva Santos, Jacques Deere, Roberto Rodriguez-Caro, Pol Capdevila, Erik Kusch, Samuel J L Gascoigne, John Jackson, Roberto Salguero-Gómez
bioRxiv 2022.03.09.483599; doi: https://doi.org/10.1101/2022.03.09.483599
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MOSAIC: A Unified Trait Database to Complement Structured Population Models
Connor Bernard, Gabriel Silva Santos, Jacques Deere, Roberto Rodriguez-Caro, Pol Capdevila, Erik Kusch, Samuel J L Gascoigne, John Jackson, Roberto Salguero-Gómez
bioRxiv 2022.03.09.483599; doi: https://doi.org/10.1101/2022.03.09.483599

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