Ecological Informatics

Data Management and Knowledge Discovery

Häftad, Engelska, 2018

AvFriedrich Recknagel,William K. Michener

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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.

Produktinformation

Utgivningsdatum2018-08-14
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
Antal sidor482
Upplaga3
FörlagSpringer International Publishing AG
ISBN9783319867373

Tillhör följande kategorier

Miljövetenskap och miljöpolitik inom Naturvetenskap och teknik
Biovetenskap inom Naturvetenskap och teknik
Miljöteknik inom Naturvetenskap och teknik
Databaser inom Data och IT

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).

Ecological Informatics: An Introduction.- Project Data Management Planning.- Scientific Databases for Environmental Research.- Quality Assurance and Quality Control (QA/QC).- Creating and Managing Metadata.- Preserve: Protecting Data for Long-term Use.- Data Discovery.- Data Integration: Principles and Practice.- Inferential Modelling of Population Dynamics.- Process-based Modeling of Nutrient Cycles and Food-web Dynamics.- Uncertainty Analysis by Bayesian Inference.- Multivariate Data Analysis by means of Self-organizing Maps.- GIS-based Data Synthesis and Visualization.- Communicating and Disseminating Research Findings.- Operational Forecasting in Ecology by Inferential Models and Remote Sensing.- Strategic Forecasting in Ecology by Inferential and Process-based Models.- Biodiversity Informatics.- Understanding Bioinvasion of Lake Champlain, U.S.A..- The Global Lake Ecological Observatory Network .- Long-Term Ecological Research in the Nakdong River: Application of Ecological Informatics to Harmful Algal Blooms.- Long-term Ecological Research in the English Lake District : From Ecological Informatics to the Generation of Ecological Knowledge.