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Related Experiment Video

Updated: Apr 21, 2026

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An online database for informing ecological network models: http://kelpforest.ucsc.edu.

Rodrigo Beas-Luna1, Mark Novak2, Mark H Carr1

  • 1Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, California, United States of America.

Plos One
|October 25, 2014
PubMed
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This study created an online database for kelp forest ecosystems, providing essential data for ecological network models and management. The adaptable structure and open-source code enable its use for other ecosystems.

Area of Science:

  • Ecology
  • Ecological Modeling
  • Database Development

Background:

  • Ecological network models are crucial for understanding ecosystem dynamics and management.
  • A lack of comprehensive databases hinders the parameterization of these models, especially for kelp forests.
  • Synthesizing life history, demographic, and species interaction data is challenging.

Purpose of the Study:

  • To develop an online, adaptable database for kelp forest ecosystems.
  • To facilitate the collation and dissemination of data for ecological network modeling.
  • To provide a framework for other ecosystem modeling efforts.

Main Methods:

  • Developed an online database with stage-specific life history, demography, body-size allometries, and species interactions.

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  • Implemented a data entry interface for global researcher contribution and access.
  • Ensured data quality through contributor attribution and source citations.
  • Made the database code and customization details freely available.

    • Main Results:

    • The database archives species and ecosystem-specific information for kelp forests.
    • It has been used to develop ecological network models and inform management actions.
    • The database serves educational purposes for training students in ecological modeling.

    Conclusions:

    • The developed online database effectively supports ecological network modeling and ecosystem-based management.
    • Its adaptable structure and open-source availability promote broader application to other ecosystems.
    • This resource enhances scientific understanding and practical application of ecological network analyses.