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      Patterns in research and data sharing for the study of form and function in caviomorph rodents

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          Abstract

          The combination of morphometrics, phylogenetic comparative methods, and open data sets has renewed interest in relating morphology to adaptation and ecological opportunities. Focusing on the Caviomorpha, a well-studied mammalian group, we evaluated patterns in research and data sharing in studies relating form and function. Caviomorpha encompasses a radiation of rodents that is diverse both taxonomically and ecologically. We reviewed 41 publications investigating ecomorphology in this group. We recorded the type of data used in each study and whether these data were made available, and we re-digitized all provided data. We tracked two major lines of information: collections material examined and trait data for morphological and ecological traits. Collectively, the studies considered 63% of extant caviomorph species; all extant families and genera were represented. We found that species-level trait data rarely were provided. Specimen-level data were even less common. Morphological and ecological data were too heterogeneous and sparse to aggregate into a single data set, so we created relational tables with the data. Additionally, we concatenated all specimen lists into a single data set and standardized all relevant data for phylogenetic hypotheses and gene sequence accessions to facilitate future morphometric and phylogenetic comparative research. This work highlights the importance and ongoing use of scientific collections, and it allows for the integration of specimen information with species trait data.

          Recientemente ha resurgido el interés por estudiar la relación entre morfología, ecología, y adaptación. Esto se debe al desarrollo de nuevas herramientas morfométricas y filogenéticas, y al acceso a grandes bases de datos para estudios comparados. Revisamos 41 publicaciones sobre ecomorfología de roedores caviomorfos, un grupo diverso y bien estudiado, para evaluar los patrones de investigación y la transparencia para la liberación de datos. Registramos los tipos de datos que se utilizaron para cada estudio y si los datos están disponibles. Cuando estos datos se compartieron, los redigitalizamos. Nos enfocamos en los ejemplares consultados, y en datos que describen rasgos ecológicos y morfológicos para las especies estudiadas. Los estudios que revisamos abarcan el 63% de las especies de caviomorfos que actualmente existen. Encontramos que raramente fueron compartidos los datos que se tomaron para especies, y menos aún para ejemplares. Los datos morfológicos y ecológicos eran demasiado heterogéneos e exiguos para consolidar en un solo banco de datos; debido a esta circunstancia, creamos tablas relacionales con los datos. Además, enlazamos todas las listas individuales de especímenes para crear un solo banco de datos y estandarizamos todos los datos pertinentes a hipótesis filogenéticas, así como los números de acceso de secuencias genéticas, para así facilitar eventuales estudios comparados de morfometría y filogenia. Este trabajo resalta la importancia de las colecciones científicas y documenta su uso, además permitiendo la futura integración de datos derivados de ejemplares con datos sobre rasgos ecomorfológicos a nivel de especie.

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          Most cited references66

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          How many species of mammals are there?

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            THE EVOLUTION OF MORPHOLOGICAL DIVERSITY

            Mike Foote (1997)
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              Towards global data products of Essential Biodiversity Variables on species traits

              Essential Biodiversity Variables (EBVs) allow observation and reporting of global biodiversity change, but a detailed framework for the empirical derivation of specific EBVs has yet to be developed. Here, we re-examine and refine the previous candidate set of species traits EBVs and show how traits related to phenology, morphology, reproduction, physiology and movement can contribute to EBV operationalization. The selected EBVs express intra-specific trait variation and allow monitoring of how organisms respond to global change. We evaluate the societal relevance of species traits EBVs for policy targets and demonstrate how open, interoperable and machine-readable trait data enable the building of EBV data products. We outline collection methods, meta(data) standardization, reproducible workflows, semantic tools and licence requirements for producing species traits EBVs. An operationalization is critical for assessing progress towards biodiversity conservation and sustainable development goals and has wide implications for data-intensive science in ecology, biogeography, conservation and Earth observation.
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                Author and article information

                Contributors
                Role: Associate Editor
                Journal
                J Mammal
                J. Mammal
                jmammal
                Journal of Mammalogy
                Oxford University Press (US )
                0022-2372
                1545-1542
                19 May 2020
                15 February 2020
                15 February 2020
                : 101
                : 2
                : 604-612
                Affiliations
                [1 ] Instituto de Ciencias Ambientales y Evolutivas, Universidad Austral de Chile, Campus Isla Teja , Valdivia CP, Chile
                [2 ] División Mastozoología, Museo Argentino de Ciencias Naturales “Bernardino Rivadavia” , Ciudad Autónoma de Buenos Aires, Argentina
                Author notes
                Author information
                http://orcid.org/0000-0001-9520-6543
                http://orcid.org/0000-0001-7173-2709
                Article
                gyaa002
                10.1093/jmammal/gyaa002
                7236905
                20f2f29d-6aaf-4bbe-8533-0faa6dd3feea
                © 2020 American Society of Mammalogists, www.mammalogy.org

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 17 September 2019
                : 27 December 2019
                Page count
                Pages: 9
                Funding
                Funded by: Fondo Nacional de Desarrollo Científico y Tecnológico, DOI 10.13039/501100002850;
                Award ID: 3170246
                Award ID: 1180366
                Categories
                Feature Articles
                AcademicSubjects/SCI01396

                base de datos relacional,colecciones,digitalización,rasgos funcionales,rodentia,collections,digitization,functional traits,relational

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