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Book
Observation and ecology : broadening the scope of science to understand a complex world
Authors: ---
ISBN: 9781610912303 1610912306 9781597263542 1597263540 9781597268257 1597268267 Year: 2012 Publisher: Washington, DC : Island Press,

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Abstract

The need to understand and address large-scale environmental problems that are difficult to study in controlled environments—issues ranging from climate change to overfishing to invasive species—is driving the field of ecology in new and important directions. Observation and Ecology documents that transformation, exploring how scientists and researchers are expanding their methodological toolbox to incorporate an array of new and reexamined observational approaches—from traditional ecological knowledge to animal-borne sensors to genomic and remote-sensing technologies—to track, study, and understand current environmental problems and their implications. The authors paint a clear picture of what observational approaches to ecology are and where they fit in the context of ecological science. They consider the full range of observational abilities we have available to us and explore the challenges and practical difficulties of using a primarily observational approach to achieve scientific understanding. They also show how observations can be a bridge from ecological science to education, environmental policy, and resource management. Observations in Ecology can play a key role in understanding our changing planet and the consequences of human activities on ecological processes. This book will serve as an important resource for future scientists and conservation leaders who are seeking a more holistic and applicable approach to ecological science.

Keywords

Pure sciences. Natural sciences (general) --- General ecology and biosociology --- Production management --- wetenschapsgeschiedenis --- ecologie --- duurzame ontwikkeling --- ecosystemen --- Sustainable development. --- History. --- Aquatic ecology . --- Ecosystems. --- Ecology . --- Sustainable Development. --- History of Science. --- Freshwater & Marine Ecology. --- Ecology. --- Annals --- Auxiliary sciences of history --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable development --- Sustainable economic development --- Economic development --- Environmental aspects --- Balance of nature --- Biology --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Population biology --- Biocenoses --- Biocoenoses --- Biogeoecology --- Biological communities --- Biomes --- Biotic community ecology --- Communities, Biotic --- Community ecology, Biotic --- Ecological communities --- Ecosystems --- Natural communities --- Ecology --- Aquatic biology --- Observation (Scientific method) --- Nature observation. --- Biocomplexity. --- Methodology. --- Research. --- Study and teaching. --- Biological complexity --- Complexity, Biological --- Biodiversity --- Observation, Nature --- Observing nature --- Nature study --- Outdoor recreation --- Ecological research --- Science --- Methodology

Knowledge discovery and emergent complexity in bioinformatics : revised selected papers
Authors: --- ---
ISBN: 9783540710363 3540710361 9786610865604 1280865601 354071037X Year: 2007 Publisher: Berlin, Heidelberg : Springer-Verlag,

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Abstract

This book contains selected and revised papers of the International Symposium on Knowledge Discovery and Emergent Complexity in Bioinformatics (KDECB 2006), held at the University of Ghent, Belgium, May 10, 2006. In February 1943, the Austrian physicist Erwin Schrodi ¨ nger, one of the founding fathers of quantum mechanics, gave a series of lectures at Trinity College in Dublin titled “What Is Life? The Physical Aspect of the Living Cell and Mind. ” In these l- tures Schrodi ¨ nger stressed the fundamental differencesencountered between observing animate and inanimate matter, and advanced some, at the time, audacious hypotheses aboutthe nature andmolecularstructureof genes, some ten yearsbeforethe discoveries of Watson and Crick. Indeed, the rules of living matter, from the molecular level to the level of supraorganic ocking behavior, seem to violate the simple basic interactions found between fundamental particles as electrons and protons. It is as if the organic molecules in the cell ‘know’ that they are alive. Despite all external stochastic uct- tions and chaos, process and additive noise, this machinery has been ticking for at least 3. 8 billion years. Yet, we may safely assume that the laws that governphysicsalso steer these complex associations of synchronous and seemingly intentional dynamics in the cell.

Keywords

Computational Biology --- Medical Informatics --- Data mining --- Bioinformatics --- Computational biology --- Biocomplexity --- Computational complexity --- Exploration de données (Informatique) --- Bio-informatique --- Complexité de calcul (Informatique) --- methods --- Congresses. --- Data processing --- Congrès --- Congresses --- Methods --- Publication Formats --- Information Science --- Investigative Techniques --- Biology --- Informatics --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Biological Science Disciplines --- Publication Characteristics --- Natural Science Disciplines --- Disciplines and Occupations --- Computer Science --- Engineering & Applied Sciences --- Natural Sciences --- Physical Sciences --- Discipline, Natural Science --- Disciplines, Natural Science --- Natural Science --- Natural Science Discipline --- Physical Science --- Science, Natural --- Science, Physical --- Sciences, Natural --- Sciences, Physical --- Biologic Sciences --- Biological Science --- Science, Biological --- Sciences, Biological --- Biological Sciences --- Life Sciences --- Biologic Science --- Biological Science Discipline --- Discipline, Biological Science --- Disciplines, Biological Science --- Life Science --- Science Discipline, Biological --- Science Disciplines, Biological --- Science, Biologic --- Science, Life --- Sciences, Biologic --- Sciences, Life --- Investigative Technics --- Investigative Technic --- Investigative Technique --- Technic, Investigative --- Technics, Investigative --- Technique, Investigative --- Techniques, Investigative --- Information Sciences --- Science, Information --- Sciences, Information --- Computer Science, Medical --- Health Information Technology --- Informatics, Clinical --- Informatics, Medical --- Information Science, Medical --- Clinical Informatics --- Medical Computer Science --- Medical Information Science --- Health Information Technologies --- Information Technologies, Health --- Information Technology, Health --- Medical Computer Sciences --- Medical Information Sciences --- Science, Medical Computer --- Technologies, Health Information --- Technology, Health Information --- Biological complexity --- Complexity, Biological --- Bio-Informatics --- Biology, Computational --- Computational Molecular Biology --- Molecular Biology, Computational --- Bio Informatics --- Bio-Informatic --- Bioinformatic --- Biologies, Computational Molecular --- Biology, Computational Molecular --- Computational Molecular Biologies --- Molecular Biologies, Computational --- Methodological Studies --- Methodological Study --- Procedures --- Studies, Methodological --- Study, Methodological --- Method --- Procedure --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Life sciences. --- Mathematical statistics. --- Data mining. --- Information storage and retrieval. --- Artificial intelligence. --- Bioinformatics. --- Biochemistry. --- Life Sciences. --- Biochemistry, general. --- Data Mining and Knowledge Discovery. --- Artificial Intelligence (incl. Robotics). --- Information Storage and Retrieval. --- Computational Biology/Bioinformatics. --- Probability and Statistics in Computer Science. --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Chemistry --- Medical sciences --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Database searching --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Biosciences --- Science --- Composition --- Statistical methods --- Information storage and retrieva. --- Computer science. --- Artificial Intelligence. --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval

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