Are social media reports useful for assessing small ape occurrence? A pilot study from Peninsular Malaysia

Utilising tourist-generated citizen science data in response to environmental challenges: A systematic literature review

There has been a proliferation of studies that have examined the impacts of public participation in Citizen Science (CS) that respond to environmental challenges and the recovery of ecosystems, endangered species or other important natural assets. However, comparatively few studies have explored how tourists may play a critical role in the generation of CS data and thus it has been posited that many potential opportunities remain unrealised. By systematically analysing studies that have utilised tourist-generated data in response to environmental challenges or issues, this paper seeks to establish an appraisal of what has so far been established in extant literature and to identify future possibilities for the inclusion of tourists in CS. Via our literature search, a total of 45 peer-reviewed studies were identified via the PRISMA search protocol. Our findings reveal numerous positive outcomes were reported that highlight the significant, yet largely untapped, potential of tourist integration in CS, with studies also offering a range of recommendations on how tourists could be included more effectively to expand scientific knowledge. Notwithstanding, several limitations were observed, and it is critical that future CS projects that utilise tourists for data collection purposes are acutely aware of the challenges they may encounter.

Increasing biodiversity knowledge through social media: A case study from tropical Bangladesh

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.