A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data
© 2022 The Authors..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:25 |
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| Enthalten in: |
iScience - 25(2022), 10 vom: 21. Okt., Seite 105101 |
| Sprache: |
Englisch |
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| Links: |
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| Themen: |
Animals |
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| Anmerkungen: |
Date Revised 11.10.2022 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.isci.2022.105101 |
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| Förderinstitution / Projekttitel: |
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| 100 | 1 | |a Balk, Meghan A |e verfasserin |4 aut | |
| 245 | 1 | 2 | |a A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data |
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| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © 2022 The Authors. | ||
| 520 | |a 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 | ||
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| 700 | 1 | |a Emery, Kitty F |e verfasserin |4 aut | |
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| 700 | 1 | |a Reuter, Dana |e verfasserin |4 aut | |
| 700 | 1 | |a LaFrance, Raphael |e verfasserin |4 aut | |
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