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TropiRoot 1.0: Database of tropical root characteristics across environments.
Amanda L Cordeiro1,2, Daniela F Cusack1,3, Nathaly Guerrero-Ramírez4,5
1Ecosystem Science and Sustainability Department, Colorado State University, Fort Collins, Colorado, USA.
A new database, TropiRoot 1.0, expands tropical root data by 30%, enhancing global plant diversity and functional ecology research. This resource aids in understanding tropical ecosystems and improving vegetation models.
Area of Science:
- Ecology
- Plant Biology
- Biodiversity Science
Background:
- Tropical ecosystems host immense vascular plant biodiversity, yet data on their functional diversity is limited.
- Understanding tropical functional diversity is crucial for global biodiversity patterns, but data gaps hinder progress.
- Existing global root trait databases lack comprehensive tropical data.
Purpose of the Study:
- To create a comprehensive database of tropical root characteristics, named TropiRoot 1.0.
- To bridge data gaps in tropical root trait information for global datasets.
- To facilitate research on root functional ecology and plant biogeography in tropical regions.
Main Methods:
- Compiled data from 104 new sources between 2020 and 2024 using Web of Science, Scopus, and expert knowledge.
- Standardized data columns using the Fine-Root Ecology Database (FRED) format for enhanced accessibility and compatibility.
- Extracted and quality-checked over 8000 rows of data on root biomass, morphology, dynamics, and chemistry across 25 countries.
Main Results:
- TropiRoot 1.0 database includes over 8000 rows of tropical root trait data, increasing FRED's tropical root data by 30%.
- Data covers root biomass, morphology, dynamics, mass fraction, architecture, anatomy, physiology, and chemistry from 25 countries.
- Ancillary soil and aboveground data were included where available, with standardized units for root characteristics.
Conclusions:
- TropiRoot 1.0 significantly enhances global root trait databases by filling a critical data gap for tropical regions.
- The database provides a valuable resource for evaluating hypotheses in root functional ecology and plant biogeography.
- This advancement will improve the representation of tropical forests in global vegetation models and inform conservation efforts.
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