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Updated: May 25, 2026

A Highly Scalable Approach to Perform Ecological Surveys of Selfing Caenorhabditis Nematodes
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Ecoinformatics: supporting ecology as a data-intensive science.

William K Michener1, Matthew B Jones

  • 1University Libraries, University of New Mexico, Albuquerque, NM 87131, USA. william.michener@gmail.com

Trends in Ecology & Evolution
|January 14, 2012
PubMed
Summary
This summary is machine-generated.

Ecoinformatics provides essential tools for managing and analyzing vast ecological data. This review explores recent advances in ecoinformatics, benefiting ecologists and environmental scientists facing complex, data-intensive research challenges.

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Area of Science:

  • Ecology and Environmental Science
  • Ecoinformatics and Data Science

Background:

  • Ecology is rapidly transforming into an open, collaborative, and data-intensive scientific discipline.
  • Addressing complex ecological questions requires the discovery, integration, and analysis of massive, heterogeneous datasets.
  • The increasing scale of ecological research, from genes to the biosphere, necessitates advanced data management and analysis approaches.

Purpose of the Study:

  • To review the state-of-the-art and recent advances in ecoinformatics.
  • To highlight how ecoinformatics tools and approaches can benefit ecologists and environmental scientists.
  • To identify remaining challenges and future opportunities in the field of ecoinformatics.

Main Methods:

  • Review of current literature and recent advancements in ecoinformatics.
  • Analysis of ecoinformatics tools and methodologies applicable to ecological data management.
  • Synthesis of how these advances address data-intensive ecological research across disciplines and scales.

Main Results:

  • Ecoinformatics offers crucial tools for managing diverse ecological data, transforming it into actionable information and knowledge.
  • Recent advances in ecoinformatics support the integration and analysis of large-scale, complex ecological datasets.
  • The field is crucial for tackling interdisciplinary research questions spanning various spatial and temporal scales.

Conclusions:

  • Ecoinformatics is vital for modern ecology, enabling researchers to handle the increasing volume and complexity of data.
  • Continued development and application of ecoinformatics are essential for advancing ecological understanding and environmental science.
  • Significant opportunities exist for further innovation in ecoinformatics to address future research frontiers.