Odonate Phenotypic Database

Odonate Phenotypic Database compiles phenotypic data for members of the insect order Odonata (dragonflies and damselflies) to support comparative, ecological, and evolutionary analyses across approximately 6400 species in 32 families, currently containing phenotypic records for 1011 species.


Key Features:

  • Taxonomic scope: Coverage spans the insect order Odonata, encompassing approximately 6400 species across 32 families.
  • Dataset coverage: Contains phenotypic records for 1011 odonate species.
  • Morphological data: Detailed descriptions and measurements of physical traits across species.
  • Life-history traits: Information on developmental stages, reproductive strategies, and lifespan variation.
  • Behavioral traits: Records of mating behavior, territoriality, and predation-related behaviors.
  • Biogeographical information: Geographical distribution data for species-level analyses.
  • Data provenance: Phenotypic data compiled from a variety of published literature sources.

Scientific Applications:

  • Comparative morphology and systematics: Enables cross-species comparisons of morphological traits within Odonata.
  • Life-history evolution: Supports analyses of developmental and reproductive trait evolution.
  • Behavioral ecology: Facilitates study of behavioral trait variation and its ecological correlates.
  • Biogeography and conservation biology: Informs analyses of species distributions and conservation-relevant patterns.
  • Biodiversity and adaptation studies: Aids investigation of species adaptation, ecosystem dynamics, and biodiversity patterns.

Methodology:

Phenotypic records were compiled and aggregated from published literature sources.

Topics

Details

Tool Type:
web application
Added:
1/14/2020
Last Updated:
1/4/2021

Operations

Publications

Waller JT, Willink B, Tschol M, Svensson EI. The odonate phenotypic database, a new open data resource for comparative studies of an old insect order. Scientific Data. 2019;6(1). doi:10.1038/s41597-019-0318-9. PMID:31831730. PMCID:PMC6908694.