Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1093/biosci/biad042
Lizenz creative commons licence
Titel (primär) Increasing biodiversity knowledge through social media: A case study from tropical Bangladesh
Autor Chowdhury, S.; Aich, U.; Rokonuzzaman, M.; Alam, S.; Das, P.; Siddika, A.; Ahmed, S.; Labi, M.M.; Di Marco, M.; Fuller, R.A.; Callaghan, C.T.
Quelle BioScience
Erscheinungsjahr 2023
Department iDiv; ESS
Band/Volume 73
Heft 6
Seite von 453
Seite bis 459
Sprache englisch
Topic T5 Future Landscapes
Supplements https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/bioscience/PAP/10.1093_biosci_biad042/1/biad042_supplemental_file.docx?Expires=1690536100&Signature=FQjUWGTH-NN0Qnxw~3J3vnnlqIEpzRsqIBapbZvmudmloYsCD~ekIpCWjjtTpoNfN~tdj~ck7R-ZiQzQDCeZjrEPhNmpqLWZR8Lquqe77EhPN1mCcHa0my4bjmKJ6d3aZddyrTIvF63d5-EQxp81SU8E-nyiMiqUja7hl~IY4ScuVWxExl0nfAX3ZR--QFPDaiRDWaansmedHiXhasWVxE7qSpRuN2zyLynpJTw5OiMrH~00jOkkEnP4fRRuJYGY3~jwltJnZrEjJGjrwp4-QEQpreA2BilTY4H41ng3ifnLrZaTjRTKQ8l-deBgceRCZCmsjVg~6~ce6GZdLKTBYA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA
Keywords citizen science; biodiversity conservation; Facebook; social media data; Wallacean shortfall
Abstract Citizen science programs are becoming increasingly popular among naturalists but remain heavily biased taxonomically and geographically. However, with the explosive popularity of social media and the near-ubiquitous availability of smartphones, many post wildlife photographs on social media. Here, we illustrate the potential of harvesting these data to enhance our biodiversity understanding using Bangladesh, a tropical biodiverse country, as a case study. We compared biodiversity records extracted from Facebook with those from the Global Biodiversity Information Facility (GBIF), collating geospatial records for 1013 unique species, including 970 species from Facebook and 712 species from GBIF. Although most observation records were biased toward major cities, the Facebook records were more evenly spatially distributed. About 86% of the Threatened species records were from Facebook, whereas the GBIF records were almost entirely Of Least Concern species. To reduce the global biodiversity data shortfall, a key research priority now is the development of mechanisms for extracting and interpreting social media biodiversity data.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=27171
Chowdhury, S., Aich, U., Rokonuzzaman, M., Alam, S., Das, P., Siddika, A., Ahmed, S., Labi, M.M., Di Marco, M., Fuller, R.A., Callaghan, C.T. (2023):
Increasing biodiversity knowledge through social media: A case study from tropical Bangladesh
Bioscience 73 (6), 453 - 459 10.1093/biosci/biad042