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An Online Database for Informing Ecological Network Models: http://kelpforest.ucsc.edu Public Deposited

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https://ir.library.oregonstate.edu/concern/articles/rr1720273

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  • Ecological network models and analyses are recognized as valuable tools for understanding the dynamics and resiliency of ecosystems, and for informing ecosystem-based approaches to management. However, few databases exist that can provide the life history, demographic and species interaction information necessary to parameterize ecological network models. Faced with the difficulty of synthesizing the information required to construct models for kelp forest ecosystems along the West Coast of North America, we developed an online database (http://kelpforest.ucsc.edu/) to facilitate the collation and dissemination of such information. Many of the database’s attributes are novel yet the structure is applicable and adaptable to other ecosystem modeling efforts. Information for each taxonomic unit includes stage-specific life history, demography, and body-size allometries. Species interactions include trophic, competitive, facilitative, and parasitic forms. Each data entry is temporally and spatially explicit. The online data entry interface allows researchers anywhere to contribute and access information. Quality control is facilitated by attributing each entry to unique contributor identities and source citations. The database has proven useful as an archive of species and ecosystem-specific information in the development of several ecological network models, for informing management actions, and for education purposes (e.g., undergraduate and graduate training). To facilitate adaptation of the database by other researches for other ecosystems, the code and technical details on how to customize this database and apply it to other ecosystems are freely available and located at the following link (https://github.com/kelpforest-cameo/databaseui).
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  • Beas-Luna, R., Novak, M., Carr, M. H., Tinker, M. T., Black, A., et al. (2014) An Online Database for Informing Ecological Network Models: http://kelpforest.ucsc. edu. PLoS ONE, 9(10), e109356. doi:10.1371/journal.pone.0109356
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  • 9
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  • 10
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  • This project was supported by the Comparative Analysis of Marine Ecosystem Organization (CAMEO) program, jointly supported by the NationalScience Foundation and the U.S. National Marine Fisheries Service of the National Oceanic and Atmospheric Administration (award # OCE-1041454 and OCE-10411489). Additional support for Rodrigo Beas-Luna was provided by the Consejo Nacional de Ciencia y Tecnología (www.conacyt.mx) and the University ofCalifornia Institute for Mexico (www.ucmexus.ucr.edu). Funding for Open Access provided by the University of California Santa Cruz, Open Access Fund.
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  • description.provenance : Made available in DSpace on 2014-12-08T19:44:30Z (GMT). No. of bitstreams: 2 license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5) NovakMarkIntegrativeBiologyOnlineDatabaseInforming.pdf: 1528332 bytes, checksum: 30a79ec386b869775d1481c378693dce (MD5) Previous issue date: 2014-10-24
  • description.provenance : Submitted by Erin Clark (erin.clark@oregonstate.edu) on 2014-12-08T19:43:59Z No. of bitstreams: 2 license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5) NovakMarkIntegrativeBiologyOnlineDatabaseInforming.pdf: 1528332 bytes, checksum: 30a79ec386b869775d1481c378693dce (MD5)
  • description.provenance : Approved for entry into archive by Erin Clark(erin.clark@oregonstate.edu) on 2014-12-08T19:44:30Z (GMT) No. of bitstreams: 2 license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5) NovakMarkIntegrativeBiologyOnlineDatabaseInforming.pdf: 1528332 bytes, checksum: 30a79ec386b869775d1481c378693dce (MD5)

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