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2018 | OriginalPaper | Chapter

1. Ecological Informatics: An Introduction

Authors: Friedrich Recknagel, William K. Michener

Published in: Ecological Informatics

Publisher: Springer International Publishing

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Abstract

Ecological Informatics is an emerging discipline that takes into account the data-intensive nature of ecology, the valuable information content of ecological data, and the need to communicate results and inform decisions, including those related to research, conservation and resource management (Recknagel 2017). 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 communicating and informing decisions by following the course of a loop (Fig. 1.1).
Literature
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go back to reference Arhonditsis G, Kim D-Y, Kelly N, Neumann A, Javed A (2017b) Uncertainty analysis by Bayesian inference, Chapter 11. In: Recknagel F, Michener W (eds) Ecological informatics. Data management and knowledge discovery. Springer, Heidelberg Arhonditsis G, Kim D-Y, Kelly N, Neumann A, Javed A (2017b) Uncertainty analysis by Bayesian inference, Chapter 11. In: Recknagel F, Michener W (eds) Ecological informatics. Data management and knowledge discovery. Springer, Heidelberg
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go back to reference Michener WK (2017b) Quality assurance and quality control (QA/QC), Chapter 4. In: Recknagel F, Michener W (eds) Ecological informatics. Data management and knowledge discovery. Springer, Heidelberg Michener WK (2017b) Quality assurance and quality control (QA/QC), Chapter 4. In: Recknagel F, Michener W (eds) Ecological informatics. Data management and knowledge discovery. Springer, Heidelberg
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go back to reference Recknagel F, Kocev D, Cao H, Branco CC, Minoti R, Dzeroski S (2017a) Inferential modelling of population dynamics, Chapter 9. In: Recknagel F, Michener W (eds) Ecological informatics. Data management and knowledge discovery. Springer, Heidelberg Recknagel F, Kocev D, Cao H, Branco CC, Minoti R, Dzeroski S (2017a) Inferential modelling of population dynamics, Chapter 9. In: Recknagel F, Michener W (eds) Ecological informatics. Data management and knowledge discovery. Springer, Heidelberg
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Metadata
Title
Ecological Informatics: An Introduction
Authors
Friedrich Recknagel
William K. Michener
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-59928-1_1