期刊
METHODS IN ECOLOGY AND EVOLUTION
卷 7, 期 8, 页码 960-965出版社
WILEY
DOI: 10.1111/2041-210X.12548
关键词
botany; educational outreach; field guide; mobile app; natural history; smartphone; species identification; taxonomy
类别
资金
- NSF [EF-0553768]
- University of California, Santa Barbara
- State of California
- iPlant Collaborative (NSF) [DBI-0735191]
- EliteForsk Award
- Aarhus University Research Foundation
- Villum Foundation
- Marie Curie International Outgoing Fellowship within the 7th European Community Framework Program (DiversiTraits project) [221060]
- European Research Council (ERC) Starting Grant Project Ecophysiological and biophysical constraints on domestication in crop plants' [ERC-StG-2014-639706-CONSTRAINTS]
- Center for Informatics Research on Complexity in Ecology (CIRCE)
- Aarhus University Research Foundation under the AU Ideas program
- European Research Council (ERC) [ERC-2012-StG-310886-HISTFUNC]
- National Geographic Society Waitt Grant
- European Community [290605]
Advances in both informatics and mobile technology are providing exciting new opportunities for generating, disseminating, and engaging with information in the biological sciences at unprecedented spatial scales, particularly in disentangling information on the distributions and natural history of hyperdiverse groups of organisms. We describe an application serving as a mobile catalog of all of the plants of the Americas developed using species distribution models estimated from field observations of plant occurrences. The underlying data comprise over 35 million standardized observations of over 88000 plant species.Plant-O-Matic, a free iOS application, combines the species distribution models with the location services built into a mobile device to provide users with a list of all plant species expected to occur in the 100x100km geographic grid cell corresponding to the user's location. The application also provides ancillary information on species' attributes (when available) including growth form, reproductive mode, flower color, and common name. Results can be searched and conditionally filtered based on these attributes. Links to externally sourced specimen images further aid in identification of species by the user. The application's ability to assemble locally relevant lists of plant species and their attributes on demand for anywhere in the Americas provides a powerful new tool for identifying, exploring, and understanding plant diversity. Mobile applications such as Plant-O-Matic can facilitate dynamic new approaches to science, conservation, and science education.
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