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Biodiversity analysis in the digital era.

John La Salle1, Kristen J Williams2, Craig Moritz3

  • 1Atlas of Living Australia, CSIRO National Research Collections Australia, GPO Box 1700, Canberra ACT 2601, Australia john.lasalle@csiro.au.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|August 3, 2016
PubMed
Summary
This summary is machine-generated.

Future virtual biodiversity e-infrastructure will integrate diverse data types for a deeper understanding of evolution and dynamics. This Big Data approach enhances ecological insights and informs societal decisions in a changing world.

Keywords:
biodiversity informaticsbiogeographye-research infrastructureenvironmentevolution

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Area of Science:

  • Biodiversity Informatics
  • Ecology
  • Computational Biology

Background:

  • Advances in Big Data and e-research infrastructure enable new approaches in biodiversity informatics.
  • Integrating diverse taxon-level data (genome, morphology, distribution, interactions) is crucial for ecological understanding.
  • Current ecological frameworks face challenges with data scaling.

Purpose of the Study:

  • To explore the future of virtual biodiversity e-infrastructure.
  • To demonstrate how Big Data approaches can integrate diverse biological data.
  • To highlight the importance of an integrative framework for understanding biodiversity dynamics.

Main Methods:

  • Utilizing Big Data analytics and e-research infrastructure.
  • Integrating multi-faceted taxon-level data (genomic, morphological, distributional, interactional).
  • Employing a phylogenetic and environmental framework for data synthesis.

Main Results:

  • An integrative framework overcomes data scaling issues in ecology.
  • Richer biodiversity information and faster learning are achieved.
  • The Atlas of Living Australia serves as a case study for this future infrastructure.

Conclusions:

  • The proposed virtual biodiversity e-infrastructure facilitates a deeper understanding of biodiversity evolution and dynamics.
  • This integrative approach is essential for addressing ecological challenges in a changing world.
  • Adopting new methods for integrating scientific knowledge is vital for societal decision-making.