Abstract Detail



Biodiversity synthesis: Linking large phylogenies with species traits and ecologies.

Stucky, Brian [1], Guralnick, Robert [2], Deck, John [3], Denny, Ellen [4], Bolmgren, Kjell [5], Li, Daijiang [2], Walls, Ramona [6].

Wrangling heterogeneous plant trait data with symbolic reasoning.

Information about species' traits is often highly heterogeneous and scattered across a multitude of data sources. Assembling these data into a single, unified dataset without error or loss of information is a prerequisite for robust, large-scale analyses of trait evolution and ecology, but such data assembly can be extremely challenging, even for machines. As an example of how these problems can be solved, I will discuss ongoing efforts to build a suite of tools for integrating large volumes of heterogeneous plant phenological data, with automated symbolic reasoning as the central technology. I will provide a high-level overview of key concepts, present our main technological results so far, and give an example of how the resulting data products can be used for taxonomically broad, phylogenetically aware analyses of plant phenology.


1 - Florida Museum of Natural History, University of Florida, 1659 Museum Rd, Gainesville, FL, 32611, USA
2 - Florida Museum of Natural History, University of Florida, 1659 Museum Rd, Gainesville, FL, 32611, US
3 - Biocode, LLC
4 - USA National Phenology Network
5 - Swedish University of Agricultural Sciences
6 - Bio5 Institute, Thomas J. Keating Bioresearch Building, 1657 East Helen St, Tucson, AZ, 85721, United States

Keywords:
phenology
traits
data integration.

Presentation Type: Colloquium Presentations
Session: COL01, Biodiversity synthesis: Linking large phylogenies with species traits and ecologies
Location: Virtual/Virtual
Date: Wednesday, July 29th, 2020
Time: 10:45 AM
Number: COL01004
Abstract ID:521
Candidate for Awards:None


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