Studying Biodiversity: Is a New Paradigm Really Needed?

No abstract is available for this paper.

• Publication year

  2012

• Venue

  Unknown venue

• Publication date

  2012-05-01

• Fields of study

  Biology, Computer Science, Environmental Science

• Identifiers
  DOI 10.1525/bio.2012.62.5.11
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Exploratory data analysis

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• Special Issue Article: Adaptive management for biodiversity conservation in an uncertain world Which uncertainty? Using expert elicitation and expected value of information to design an adaptive program

  2011cited by this paper
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• Data-Intensive Science: A New Paradigm for Biodiversity Studies

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• State-specific detection probabilities and disease prevalence.

  2007cited by this paper
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  2007cited by this paper
• Monitoring for conservation.

  2006cited by this paper
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  2004cited by this paper
• The structure and dynamics of geographic ranges

  2003cited by this paper
• Sexual selection affects local extinction and turnover in bird communities

  2003cited by this paper
• Analysis and Management of Animal Populations

  2002influential reference
• Monitoring of biological diversity in space and time

  2001cited by this paper
• Forest fragmentation and bird community dynamics: inference at regional scales

  2001cited by this paper
• Pattern and Process in Macroecology

  2000cited by this paper
• Farewell to certitude: Einstein's novelty on Induction and Deduction, Fallibilism

  2000influential reference
• Higher temporal variability of forest breeding bird communities in fragmented landscapes.

  1998cited by this paper
• The Ecological Detective: Confronting Models with Data

  1997cited by this paper
• THE GEOGRAPHIC RANGE: Size, Shape, Boundaries, and Internal Structure

  1996cited by this paper
• Estimating the number of animals in wildlife populations

  1994cited by this paper
• Techniques for wildlife investigations : design and analysis of capture data

  1993cited by this paper
• Coloured noise or low - dimensional chaos?

  1992cited by this paper
• Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series

  1990cited by this paper
• Population declines in North American birds that migrate to the neotropics.

  1989cited by this paper
• WILDLIFE SCIENCE: GAINING RELIABLE KNOWLEDGE

  1981cited by this paper
• Sampling design and statistical methods for environmental biologists.

  1979cited by this paper
• Exploratory data analysis

  1977cited by this paper
• Man and Machine. (Book Reviews: Zen and the Art of Motorcycle Maintenance. An Inquiry into Values)

  1974cited by this paper
• Populations in a seasonal environment.

  1973cited by this paper
• The Structure of Scientific Revolutions

  1963cited by this paper
• The Future of Data Analysis

  1962cited by this paper
• Applied Statistical Decision Theory.

  1961cited by this paper
• Biological Clock in the Unicorn.

  1957cited by this paper
• Design of Experiments

  1936cited by this paper

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• Predictive models are indeed useful for causal inference.

  2025cites this paper
• A systematic map of within-plantation oil palm management practices reveals a rapidly growing but patchy evidence base

  2022cites this paper
• Finding the signal in the Noise of Citizen Science Observations

  2018cites this paper
• The potential for citizen science to produce reliable and useful information in ecology

  2018influential citation
• Constructing global data: Automated techniques in ecological monitoring, precaution and reification of risk

  2018cites this paper
• Variable selection and accurate predictions in habitat modelling: a shrinkage approach

  2017cites this paper
• Biodiversity analysis in the digital era

  2016cites this paper
• Infusing the Scientific Method with Machine Learning in Ecology

  2015cites this paper
• Harnessing the power of big data: infusing the scientific method with machine learning to transform ecology

  2014cites this paper
• Novel Tools for the Evaluation of the Health Status of Coral Reefs Ecosystems and for the Prediction of Their Biodiversity in the Face of Climatic Changes

  2013cites this paper
• The North American Breeding Bird Survey 1966–2011: Summary Analysis and Species Accounts

  2013cites this paper
• Provisional chapter Defining ‘ Species , ’ ‘ Biodiversity , ’ and ‘ Conservation ’ by Their Transitive Relations

  2013cites this paper
• Defining ‘Species,’ ‘Biodiversity,’ and ‘Conservation’ by Their Transitive Relation

  2013cites this paper
• Le cormoran huppé (Phalacrocorax aristotelis) sur l’île de Béniguet (Finistère)

  2013cites this paper