A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data

Meghan A. Balk, John Deck, Kitty F. Emery, Ramona L. Walls, Dana Reuter, Raphael LaFrance, Joaquín Arroyo-Cabrales, Paul Barrett, Jessica Blois, Arianne Boileau, Laura Brenskelle, Nicole R. Cannarozzi, J. Alberto Cruz, Liliana M. Dávalos, Noé U. de la Sancha, Prasiddhi Gyawali, Maggie M. Hantak, Samantha Hopkins, Brooks Kohli, Jessica N. KingMichelle S. Koo, A. Michelle Lawing, Helena Machado, Samantha M. McCrane, Bryan McLean, Michèle E. Morgan, Suzanne Pilaar Birch, Denne Reed, Elizabeth J. Reitz, Neeka Sewnath, Nathan S. Upham, Amelia Villaseñor, Laurel Yohe, Edward B. Davis, Robert P. Guralnick

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Understanding variation of traits within and among species through time and across space is central to many questions in biology. Many resources assemble species-level trait data, but the data and metadata underlying those trait measurements are often not reported. Here, we introduce FuTRES (Functional Trait Resource for Environmental Studies; pronounced few-tress), an online datastore and community resource for individual-level trait reporting that utilizes a semantic framework. FuTRES already stores millions of trait measurements for paleobiological, zooarchaeological, and modern specimens, with a current focus on mammals. We compare dynamically derived extant mammal species' body size measurements in FuTRES with summary values from other compilations, highlighting potential issues with simply reporting a single mean estimate. We then show that individual-level data improve estimates of body mass—including uncertainty—for zooarchaeological specimens. FuTRES facilitates trait data integration and discoverability, accelerating new research agendas, especially scaling from intra- to interspecific trait variability.

Original languageEnglish (US)
Article number105101
JournaliScience
Volume25
Issue number10
DOIs
StatePublished - Oct 21 2022
Externally publishedYes

Keywords

  • Animals
  • Biological database
  • Evolutionary history
  • Ornithology
  • Paleobiology
  • Phylogenetics
  • Systematics

ASJC Scopus subject areas

  • General

Fingerprint

Dive into the research topics of 'A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data'. Together they form a unique fingerprint.

Cite this