| URL: | http://kelpforest.ucsc.edu/;;https://github.com/kelpforest-cameo/databaseui |
| Full name: | Kelpforest Database An online database of species life-histories, demographics and interactions |
| Description: | The purpose of the Kelpforest Database is to serve as a repository for our knowledge of the identities, life-histories, and interactions between the species present in the nearshore kelp forest ecosystems of the eastern Pacific, focusing in particular on central and southern California. The information that it houses will aid in the interpretation of species’ spatial and temporal patterns, and will serve as the basis on which to construct and parameterize mathematical models of these species rich communities. |
| Year founded: | 2014 |
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| Accessibility: |
Accessible
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| Country/Region: | United States |
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| Data object: |
NA
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| University/Institution: | University of California Santa Cruz |
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| Country/Region: | United States |
| Contact name (PI/Team): | Mark H. Carr |
| Contact email (PI/Helpdesk): | mhcarr@ucsc.edu |
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An online database for informing ecological network models: http://kelpforest.ucsc.edu. [PMID: 25343723]
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). |