An online database for informing ecological network models: http://kelpforest.ucsc.edu.
An online database for informing ecological network models: http://kelpforest.ucsc.edu.
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DOI：
10.1371/journal.pone.0109356
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Iles A
中科院分区：
文献类型：
--
作者：
Beas-Luna R;Novak M;Carr MH;Tinker MT;Black A;Caselle JE;Hoban M;Malone D;Iles A
生态网络模型和分析被认为是了解生态系统的动态和复原力以及为基于生态系统的管理方法提供信息的宝贵工具。然而，很少有数据库存在，可以提供必要的参数化生态网络模型的生活史，人口和物种相互作用的信息。面对的困难，综合所需的信息，构建海带森林生态系统沿着北美西海岸的模型，我们开发了一个在线数据库（http：//kelpforest.ucsc.edu/），以方便整理和传播这些信息。数据库的许多属性是新颖的，但结构是适用的，并适应于其他生态系统建模工作。每个分类单位的信息包括特定阶段的生活史，人口统计学和身体大小的异速生长。物种间的相互作用包括营养型、竞争型、促进型和寄生型。每个数据条目在时间和空间上都是明确的。在线数据输入界面允许研究人员在任何地方贡献和访问信息。通过将每个条目归因于唯一的贡献者身份和来源引用来促进质量控制。事实证明，该数据库作为物种和生态系统特定信息的档案库，在开发若干生态网络模型、为管理行动提供信息和用于教育目的（例如，本科和研究生培训）。为了便于其他研究人员将数据库用于其他生态系统，有关如何定制该数据库并将其应用于其他生态系统的代码和技术细节可免费获得，并位于以下链接（https：//github.com/kelpforest-cameo/databaseui）。
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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DOI：
10.1073/pnas.0907529106
发表时间：
2009-12-29
影响因子：
11.1
作者：
Ling, S. D.;Johnson, C. R.;Ridgway, K. R.
通讯作者：
Ridgway, K. R.
影响因子：
56.9
作者：
MANN, KH
通讯作者：
MANN, KH
影响因子：
2.4
作者：
Caselle, Jennifer E.;Hamilton, Scott L.;Sosa-Nishizaki, Oscar
通讯作者：
Sosa-Nishizaki, Oscar
影响因子：
56.9
作者：
ESTES, JA;PALMISANO, JF
通讯作者：
PALMISANO, JF
影响因子：
8.8
作者：
Lafferty KD;Allesina S;Arim M;Briggs CJ;De Leo G;Dobson AP;Dunne JA;Johnson PT;Kuris AM;Marcogliese DJ;Martinez ND;Memmott J;Marquet PA;McLaughlin JP;Mordecai EA;Pascual M;Poulin R;Thieltges DW
通讯作者：
Thieltges DW