Trees: North & Central Florida
Published in academic literature
App Summary
App Screenshots










Detailed Description
Functionality & Mechanism
Developed by the University of Florida's IFAS Extension, this application functions as a comprehensive digital field guide for 140 tree species. The primary identification mechanism is a dichotomous key, which guides selection through a series of paired choices based on specimen characteristics. The interface also integrates a searchable database filterable by specific attributes. Each species entry is supplemented with high-resolution imagery and supported by an integrated glossary of botanical terms to facilitate accurate identification in field settings.
Evidence & Research Context
- The app's content is derived from a comprehensive UF/IFAS publication documenting 140 prevalent native and introduced tree species in its target region.
- The underlying guide provides detailed morphological descriptions, phytogeographical range data, and phenological insights for each documented species.
- The resource addresses critical ecological themes, including habitat preferences, ecosystem roles, and the status of species as native or invasive.
- Information on invasive potential and toxicity is included to support informed landscape conservation and urban forestry management decisions.
Intended Use & Scope
This application is designed as a taxonomic identification and ecological reference tool for use in field settings. The intended users include arborists, landscape professionals, educators, students, and the general public engaged in plant identification. The tool is geographically limited to North and Central Florida and does not provide diagnostic guidance for pathology or comprehensive forestry management protocols.
Studies & Publications
Peer-reviewed research associated with this app.
Trees: North & Central Florida—A field guide to 140 common tree species
Koeser et al. (2015) · University of Florida, UF-IFAS
Referenced in academic literature; no direct evaluation of the appApp Information
Developer
University of FloridaCategory
Evidence Profile
Published in academic literature
Platforms
Updated
Apr 2015
© 2025 University of Florida
Tags
Developer Links
Privacy PolicyTrees: North & Central Florida
Free