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An Online Database for Informing Ecological Network Models: http://kelpforest.ucsc.edu
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 informa...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208745/ https://www.ncbi.nlm.nih.gov/pubmed/25343723 http://dx.doi.org/10.1371/journal.pone.0109356 |
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author | Beas-Luna, Rodrigo Novak, Mark Carr, Mark H. Tinker, Martin T. Black, August Caselle, Jennifer E. Hoban, Michael Malone, Dan Iles, Alison |
author_facet | Beas-Luna, Rodrigo Novak, Mark Carr, Mark H. Tinker, Martin T. Black, August Caselle, Jennifer E. Hoban, Michael Malone, Dan Iles, Alison |
author_sort | Beas-Luna, Rodrigo |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-4208745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42087452014-10-27 An Online Database for Informing Ecological Network Models: http://kelpforest.ucsc.edu Beas-Luna, Rodrigo Novak, Mark Carr, Mark H. Tinker, Martin T. Black, August Caselle, Jennifer E. Hoban, Michael Malone, Dan Iles, Alison PLoS One Research Article 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). Public Library of Science 2014-10-24 /pmc/articles/PMC4208745/ /pubmed/25343723 http://dx.doi.org/10.1371/journal.pone.0109356 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Beas-Luna, Rodrigo Novak, Mark Carr, Mark H. Tinker, Martin T. Black, August Caselle, Jennifer E. Hoban, Michael Malone, Dan Iles, Alison An Online Database for Informing Ecological Network Models: http://kelpforest.ucsc.edu |
title | An Online Database for Informing Ecological Network Models: http://kelpforest.ucsc.edu
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title_full | An Online Database for Informing Ecological Network Models: http://kelpforest.ucsc.edu
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title_fullStr | An Online Database for Informing Ecological Network Models: http://kelpforest.ucsc.edu
|
title_full_unstemmed | An Online Database for Informing Ecological Network Models: http://kelpforest.ucsc.edu
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title_short | An Online Database for Informing Ecological Network Models: http://kelpforest.ucsc.edu
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title_sort | online database for informing ecological network models: http://kelpforest.ucsc.edu |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208745/ https://www.ncbi.nlm.nih.gov/pubmed/25343723 http://dx.doi.org/10.1371/journal.pone.0109356 |
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