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Social media data reveal novel habitats for invasive species

Social media data reveal novel habitats for invasive species

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

Shawan Chowdhury , Rochita Debnath, Niloy Hawladar, Scarlett R Howard, Kathryn A Hodgins, Bob B M Wong, Ivan Jarić

Abstract

Invasive alien species pose significant threats to biodiversity, yet their distributions remain poorly documented across much of the tropics. Using Bangladesh, a megapopulated tropical country, we combine species distribution data from Facebook and the Global Biodiversity Information Facility (GBIF) to evaluate how data integration improves invasive alien species distribution. Our compiled dataset contains 11,469 occurrence records for 65 species. Although Facebook contributed only 6% of the total records, it provided more data than GBIF for two-thirds of the species and served as the unique source of distribution data for 23 species. Incorporating Facebook data increased estimated range sizes for 44 species and expanded the spatial extent of species distributions by 14%. Facebook records also exhibited distinct environmental patterns, often in urban and human-impacted areas. Our study demonstrates that social media can help fill critical biodiversity data gaps in under-sampled regions, and should be integrated into invasive species monitoring and conservation planning frameworks.

DOI

https://doi.org/10.32942/X2SS7B

Subjects

Terrestrial and Aquatic Ecology

Keywords

citizen science, data integration, Facebook, GBIF, iEcology, invasive species, online data, tropics

Dates

Published: 2025-07-03 00:06

License

No Creative Commons license

Additional Metadata

Conflict of interest statement:
NA

Data and Code Availability Statement:
The GBIF data is publicly available (GBIF, 2025). We uploaded the Facebook data in the supplementary section. All the codes used in the analysis are publicly available in the GitHub repository (https://github.com/ShawanChowdhury/InvasiveSpecies_SocialMedia_Bd).

Language:
English