Ecological Informatics: Data Management and Knowledge Discovery - Softcover

Über die Autorin bzw. den Autor

Professor Friedrich Recknagel completed a Master degree in Computer Science before he received his PhD in Applied Limnology from Dresden University of Technology, Germany. He is currently Professor at the School of Biological Sciences of the University of Adelaide, Australia with a research focus on quantitative aquatic ecology by means of deterministic and inferential modelling. Over the past 20 years he has pioneered applications of artificial neural networks and evolutionary algorithms for modelling eutrophication processes and algal blooms in freshwaters. Since 2006 he is editor-in-chief of the journal Ecological Informatics published by Elsevier. His publication record includes 4 books and 122 journal articles resulting in 2885 citations with an h-index 29 and an i10-index of 62 (Google Scholar).

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This book introduces readers to ecological informatics as an emerging discipline that takes into account the data-intensive nature of ecology, the valuable information to be found in ecological data, and the need to communicate results and inform decisions, including those related to research, conservation and resource management. At its core, ecological informatics combines developments in information technology and ecological theory with applications that facilitate ecological research and the dissemination of results to scientists and the public. Its conceptual framework links ecological entities (genomes, organisms, populations, communities, ecosystems, landscapes) with data management, analysis and synthesis, and communicates new findings to inform decisions by following the course of a loop.

In comparison to the 2nd edition published in 2006, the 3rd edition of Ecological Informatics has been completely restructured on the basis of the generic conceptual f

ramework provided in Figure 1. It reflects the significant advances in data management, analysis and synthesis that have been made over the past 10 years, including new remote and in situ sensing techniques, the emergence of ecological and environmental observatories, novel evolutionary computations for knowledge discovery and forecasting, and new approaches to communicating results and informing decisions.