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MOSAIC - A Unified Trait Database to Complement Structured Population Models

Despite exponential growth in ecological data availability, broader interoperability amongst datasets is needed to unlock the potential of open access. Our understanding of the interface of demography and functional traits is well-positioned to benefit from such interoperability. Here, we introduce...

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Autores principales: Bernard, Connor, Santos, Gabriel Silva, Deere, Jacques A., Rodriguez-Caro, Roberto, Capdevila, Pol, Kusch, Erik, Gascoigne, Samuel J. L., Jackson, John, Salguero-Gómez, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235418/
https://www.ncbi.nlm.nih.gov/pubmed/37264011
http://dx.doi.org/10.1038/s41597-023-02070-w
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author Bernard, Connor
Santos, Gabriel Silva
Deere, Jacques A.
Rodriguez-Caro, Roberto
Capdevila, Pol
Kusch, Erik
Gascoigne, Samuel J. L.
Jackson, John
Salguero-Gómez, Roberto
author_facet Bernard, Connor
Santos, Gabriel Silva
Deere, Jacques A.
Rodriguez-Caro, Roberto
Capdevila, Pol
Kusch, Erik
Gascoigne, Samuel J. L.
Jackson, John
Salguero-Gómez, Roberto
author_sort Bernard, Connor
collection PubMed
description Despite exponential growth in ecological data availability, broader interoperability amongst datasets is needed to unlock the potential of open access. Our understanding of the interface of demography and functional traits is well-positioned to benefit from such interoperability. 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 were digitised and curated through a combination of existing datasets and new 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 includes species-level phylogenies for 1,359 species and population-specific climate data. We identify how database integration can improve our understanding of traits well-quantified in existing repositories and those that are poorly quantified (e.g., growth determination, modularity). MOSAIC highlights emerging challenges associated with standardising databases and demographic measures.
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spelling pubmed-102354182023-06-03 MOSAIC - A Unified Trait Database to Complement Structured Population Models Bernard, Connor Santos, Gabriel Silva Deere, Jacques A. Rodriguez-Caro, Roberto Capdevila, Pol Kusch, Erik Gascoigne, Samuel J. L. Jackson, John Salguero-Gómez, Roberto Sci Data Data Descriptor Despite exponential growth in ecological data availability, broader interoperability amongst datasets is needed to unlock the potential of open access. Our understanding of the interface of demography and functional traits is well-positioned to benefit from such interoperability. 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 were digitised and curated through a combination of existing datasets and new 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 includes species-level phylogenies for 1,359 species and population-specific climate data. We identify how database integration can improve our understanding of traits well-quantified in existing repositories and those that are poorly quantified (e.g., growth determination, modularity). MOSAIC highlights emerging challenges associated with standardising databases and demographic measures. Nature Publishing Group UK 2023-06-01 /pmc/articles/PMC10235418/ /pubmed/37264011 http://dx.doi.org/10.1038/s41597-023-02070-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Bernard, Connor
Santos, Gabriel Silva
Deere, Jacques A.
Rodriguez-Caro, Roberto
Capdevila, Pol
Kusch, Erik
Gascoigne, Samuel J. L.
Jackson, John
Salguero-Gómez, Roberto
MOSAIC - A Unified Trait Database to Complement Structured Population Models
title MOSAIC - A Unified Trait Database to Complement Structured Population Models
title_full MOSAIC - A Unified Trait Database to Complement Structured Population Models
title_fullStr MOSAIC - A Unified Trait Database to Complement Structured Population Models
title_full_unstemmed MOSAIC - A Unified Trait Database to Complement Structured Population Models
title_short MOSAIC - A Unified Trait Database to Complement Structured Population Models
title_sort mosaic - a unified trait database to complement structured population models
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235418/
https://www.ncbi.nlm.nih.gov/pubmed/37264011
http://dx.doi.org/10.1038/s41597-023-02070-w
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