Big Data in Ecology

This volume includes topical and important reviews on the subject of big data in ecology

Guy Woodward (Series edited by), Mehrdad Hajibabaei (Volume editor), Alex Dumbrell (Volume editor), Donald Baird (Volume editor)

9780080999708, Elsevier Science

Hardback, published 1 December 2014

140 pages
22.9 x 15.1 x 1.7 cm, 0.33 kg

The theme of this volume is big data in ecology.

1. Faster, Higher and Stronger? The Pros and Cons of Molecular Faunal Data for Assessing Ecosystem Condition

Katherine Ann Dafforn, Donald J. Baird, Anthony A. Chariton, Melanie Y. Sun, Mark Brown, Stuart L. Simpson, Brendan P. Kelaher and Emma L. Johnston

2. Big Data and Ecosystem Research Programmes

David Raffaelli, James M. Bullock, Steve Cinderby, Isabelle Durance, Bridget Emmett, Jim Harris, Kevin Hicks, Tom H. Oliver, Dave Paterson and Piran C. L. White

3. DNA Metabarcoding Meets Experimental Ecotoxicology: Advancing Knowledge on the Ecological Effects of Copper in Freshwater Ecosystems Stephanie Gardham, Grant C. Hose, Sarah Stephenson and Anthony A. Chariton

Subject Areas: Conservation of wildlife & habitats [RNKH], Conservation of the environment [RNK], Biodiversity [RNCB], Applied ecology [RNC], The environment [RN], Ecological science, the Biosphere [PSAF]