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A morphological database for Colombian anuran species from conservation-priority ecosystems
Angela M Mendoza-Henao1,2, Ángela M Cortes-Gomez1,3, Mailyn A Gonzalez1
1Programa Ciencias de la Biodiversidad, Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Bogotá, Colombia.
This study presents a new morphological trait dataset for 293 amphibian species in Colombia, crucial for understanding functional diversity and informing conservation efforts for threatened Neotropical amphibians.
Area of Science:
- Ecology
- Herpetology
- Biodiversity Science
Background:
- Species traits link individual fitness to community and ecosystem processes.
- Amphibian trait data is scarce in the Neotropics, particularly in Colombia, a global hotspot for amphibian diversity and threatened species.
- Understanding functional diversity is key for effective conservation strategies.
Purpose of the Study:
- To create a comprehensive dataset of morphological traits for Colombian amphibians.
- To provide data for studies on functional diversity and conservation planning.
- To address the scarcity of trait data for Neotropical amphibians.
Main Methods:
- Collected morphological data for eight traits from 4,623 museum specimens across seven major Colombian collections.
- Included 293 anuran species, representing 37.6% of Colombia's known anuran diversity.
- Focused on traits related to habitat use, predation, and nutrient cycling.
Main Results:
- A dataset of 4,623 specimens and 293 species was compiled, covering key morphological traits.
- Species were primarily from high Andean forests, páramo, and wetland ecosystems.
- The dataset provides foundational information for functional trait analysis in Colombian amphibians.
Conclusions:
- The new morphological trait dataset enhances understanding of functional diversity in Colombian amphibians.
- This data is vital for developing targeted conservation plans for threatened amphibian populations.
- The dataset supports research linking species traits to ecosystem functions and environmental variability.
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