Functional exploration of natural networks and ecological communities
| Autor: | Alexander Keller, Markus J. Ankenbrand, Lorenz Weber, Frank Förster, Sonja Hohlfeld |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Computer science Ecology Process (engineering) Ecological Modeling Ecology (disciplines) Reuse Task (project management) 03 medical and health sciences 030104 developmental biology Taxonomy (general) Trait Natural (music) Composition (language) Ecology Evolution Behavior and Systematics |
| Zdroj: | Methods in Ecology and Evolution. 9:2028-2033 |
| ISSN: | 2041-210X |
| DOI: | 10.1111/2041-210x.13060 |
| Popis: | Species composition assessment of ecological communities and networks is an important aspect of biodiversity research. Yet often ecological traits of organisms in a community are more informative than scientific names only. Furthermore, other properties like threat status, invasiveness, or human usage are relevant for many studies, but cannot be evaluated from taxonomy alone. Despite public databases collecting such information, it is still a tedious manual task to enrich community analyses with such, especially for large-scaled data. Here we present the FENNEC, a web-based workbench that eases the process of mapping publicly available trait data to the user9s communities in an automated process. Usage is either by a local self-hosted or a public instance (https://fennec.molecular.eco) covering exemplary traits. The FENNEC aims to motivate public trait data submission and its reuse in meta-analyses. Further, it is an open-source development project with the code freely available to use and community contribution (https://github.com/molbiodiv/fennec). |
| Databáze: | OpenAIRE |
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