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Biodiversity analysis in the digital era
Author(s) -
John La Salle,
Kristen J. Williams,
Craig Moritz
Publication year - 2016
Publication title -
philosophical transactions of the royal society b biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.753
H-Index - 272
eISSN - 1471-2970
pISSN - 0962-8436
DOI - 10.1098/rstb.2015.0337
Subject(s) - biodiversity , data science , biome , big data , citizen science , ecology , geography , computer science , environmental resource management , biology , ecosystem , data mining , botany , environmental science
This paper explores what the virtual biodiversity e-infrastructure will look like as it takes advantage of advances in 'Big Data' biodiversity informatics and e-research infrastructure, which allow integration of various taxon-level data types (genome, morphology, distribution and species interactions) within a phylogenetic and environmental framework. By overcoming the data scaling problem in ecology, this integrative framework will provide richer information and fast learning to enable a deeper understanding of biodiversity evolution and dynamics in a rapidly changing world. The Atlas of Living Australia is used as one example of the advantages of progressing towards this future. Living in this future will require the adoption of new ways of integrating scientific knowledge into societal decision making.This article is part of the themed issue 'From DNA barcodes to biomes'.

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