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TAXON-TIME

Financiado

Cerrado

Rediscovering biodiversity using big data to trace taxonomic knowledge through...

Rediscovering biodiversity using big data to trace taxonomic knowledge through time Few macroecologists would dispute the importance of taxonomy for their work. Yet most treat taxonomic classification as a static, although it is intrinsically dynamic and subject to periodic change. This inconsistency arises from... ver más

02/05/2022

CSIC

173K€

Presupuesto del proyecto: 173K€

Líder del proyecto

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGA... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 552M€

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-05-02

MSCA-IF-2018: Individual Fellowships

I+D

Cerrada hace 6 años

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No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

CSIC

172.93K€ | Lider

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Duración del proyecto: 36 meses Fecha Inicio: 2019-04-12
Fecha Fin: 2022-05-02

Líder del proyecto

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGA... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 552M€

Presupuesto del proyecto 173K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Few macroecologists would dispute the importance of taxonomy for their work. Yet most treat taxonomic classification as a static, although it is intrinsically dynamic and subject to periodic change. This inconsistency arises from the divergent objectives of both disciplines and hampers progress towards more robust estimates of species richness across biomes. TAXON-TIME aims to bridge the gap between taxonomy and macroecology. The project will scrutinize 250 years of botanical explorations in African and Amazonian rainforests and analyze the impacts of taxonomic reclassifications on the macroecological patterns of tree species abundance and richness. To this end, TAXON-TIME will apply cutting-edge methods of data-intensive research and integrate massive volumes of digital data of historical taxonomic discoveries and reclassifications that became available only recently. A probabilistic approach to data analysis will ensure the resulting biodiversity patterns account for the likelihood of taxonomic reclassifications across space and time. TAXON-TIME results can lead to a paradigm shift in macroecological research towards the adoption of a probabilistic, rather than deterministic, view of taxonomic reclassifications. The project is led by an Experienced Researcher (ER) with outstanding analytical and technical skills and relevant research experience on three continents. TAXON-TIME brings together an interdisciplinary team of leading scientists with complementary research skills in tropical ecology, macroecology and data-intensive research. Upon completion, TAXON-TIME will contribute to a paradigm shift in macroecology and provided the ER with an analytical toolbox tailored for the next generation of macroecologists, establishing the ER as a central actor in a unique cross-disciplinary research field, which has just began to emerge.

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