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  • 2015-2019  (5)
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  • 1
    Call number: 9783319599281 (e-book)
    Description / Table of Contents: 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.  
    Type of Medium: 12
    Pages: 1 Online-Ressource (vii, 482 Seiten) , Diagramme, Karten
    Edition: Third edition
    ISBN: 9783319599281 , 978-3-319-59928-1
    Language: English
    Note: Contents Part I Introduction 1 Ecological Informatics: An Introduction / Friedrich Recknagel and William K. Michener Part II Managing Ecological Data 2 Project Data Management Planning / William K. Michener 3 Scientific Databases for Environmental Research / John H. Porter 4 Quality Assurance and Quality Control (QA/QC) / William K. Michener 5 Creating and Managing Metadata / William K. Michener 6 Preserve: Protecting Data for Long-Term Use / Robert B. Cook, Yaxing Wei, Leslie A. Hook, Suresh K.S. Vannan, and John J. McNelis 7 Data Discovery / William K. Michener 8 Data Integration: Principles and Practice / Mark Schildhauer Part III Analysis, Synthesis and Forecasting of Ecological Data 9 Inferential Modelling of Population Dynamics / Friedrich Recknagel, Dragi Kocev, Hongqing Cao, Christina Castelo Branco, Ricardo Minoti, and Saso Dzeroski 10 Process-Based Modeling of Nutrient Cycles and Food-Web Dynamics / George Arhonditsis, Friedrich Recknagel, and Klaus Joehnk 11 Uncertainty Analysis by Bayesian Inference / George Arhonditsis, Dong-Kyun Kim, Noreen Kelly, Alex Neumann, and Aisha Javed 12 Multivariate Data Analysis by Means of Self-Organizing Maps / Young-Seuk Park, Tae-Soo Chon, Mi-Jung Bae, Dong-Hwan Kim, and Sovan Lek 13 GIS-Based Data Synthesis and Visualization / Duccio Rocchini, Carol X. Garzon-Lopez, A. Marcia Barbosa, Luca Delucchi, Jonathan E. Olandi, Matteo Marcantonio, Lucy Bastin, and Martin Wegmann Part IV Communicating and Informing Decisions 14 Communicating and Disseminating Research Findings / Amber E. Budden and William K. Michener 15 Operational Forecasting in Ecology by Inferential Models and Remote Sensing / Friedrich Recknagel, Philip Orr, Annelie Swanepoel, Klaus Joehnk, and Janet Anstee 16 Strategic Forecasting in Ecology by Inferential and Process-Based Models / Friedrich Recknagel, George Arhonditsis, Dong-Kyun Kim, and Hong Hanh Nguyen Part V Case Studies 17 Biodiversity Informatics / Cynthia S. Parr and Anne E. Thessen 18 Lessons from Bioinvasion of Lake Champlain, U.S.A. / Timothy B. Mihuc and Friedrich Recknagel 19 The Global Lake Ecological Observatory Network / Paul C. Hanson, Kathleen C. Weathers, Hilary A. Dugan, and Corinna Gries 20 Long-Term Ecological Research in the Nakdong River: Application of Ecological Informatics to Harmful Algal Blooms / Dong-Gyun Hong, Kwang-Seuk Jeong, Dong-Kyun Kim, and Gea-Jae Joo 21 From Ecological Informatics to the Generation of Ecological Knowledge: Long-Term Research in the English Lake District / S.C. Maberly, D. Ciar, J.A. Elliott, I.D. Jones, C.S. Reynolds, S.J. Thackeray, and I.J. Winfield
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  • 2
  • 3
    Publication Date: 2015-10-22
    Print ISSN: 1553-734X
    Electronic ISSN: 1553-7358
    Topics: Biology , Computer Science
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  • 4
    Publication Date: 2018-04-12
    Print ISSN: 1553-734X
    Electronic ISSN: 1553-7358
    Topics: Biology , Computer Science
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  • 5
    Publication Date: 2021-01-26
    Description: Essential Biodiversity Variables (EBV) are fundamental variables that can be used for assessing biodiversity change over time, for determining adherence to biodiversity policy, for monitoring progress towards sustainable development goals, and for tracking biodiversity responses to disturbances and management interventions. Data from observations or models that provide measured or estimated EBV values, which we refer to as EBV data products, can help to capture the above processes and trends and can serve as a coherent framework for documenting trends in biodiversity. Using primary biodiversity records and other raw data as sources to produce EBV data products depends on cooperation and interoperability among multiple stakeholders, including those collecting and mobilising data for EBVs and those producing, publishing and preserving EBV data products. Here, we encapsulate ten principles for the current best practice in EBV-focused biodiversity informatics as ‘The Bari Manifesto’, serving as implementation guidelines for data and research infrastructure providers to support the emerging EBV operational framework based on trans-national and cross-infrastructure scientific workflows. The principles provide guidance on how to contribute towards the production of EBV data products that are globally oriented, while remaining appropriate to the producer's own mission, vision and goals. These ten principles cover: data management planning; data structure; metadata; services; data quality; workflows; provenance; ontologies/vocabularies; data preservation; and accessibility. For each principle, desired outcomes and goals have been formulated. Some specific actions related to fulfilling the Bari Manifesto principles are highlighted in the context of each of four groups of organizations contributing to enabling data interoperability - data standards bodies, research data infrastructures, the pertinent research communities, and funders. The Bari Manifesto provides a roadmap enabling support for routine generation of EBV data products, and increases the likelihood of success for a global EBV framework.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev , info:eu-repo/semantics/article
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