The value of long-term citizen science data for monitoring koala populations

• Published in: Scientific reports Vol. 9; no. 1; pp. 10037 - 12
• Main Authors: Dissanayake, Ravi Bandara, Stevenson, Mark, Allavena, Rachel, Henning, Joerg
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 11.07.2019; Nature Publishing Group; Nature Portfolio
• Subjects: 704/158/1144; 704/158/1469; Animals; Australia; Breeding seasons; Citizen Science - methods; Conservation of Natural Resources - methods; Demography - methods; Ecosystem; Geography; Home range; Humanities and Social Sciences; multidisciplinary; Phascolarctidae; Population Dynamics; Queensland; Residential areas; Science; Science (multidisciplinary); Trends; Wildlife; Australia; Queensland
• DOI: 10.1038/s41598-019-46376-5
• ISSN: 2045-2322

The active collection of wildlife sighting data by trained observers is expensive, restricted to small geographical areas and conducted infrequently. Reporting of wildlife sightings by members of the public provides an opportunity to collect wildlife data continuously over wider geographical areas, at lower cost. We used individual koala sightings reported by members of the public between 1997 and 2013 in South-East Queensland, Australia ( n  = 14,076 koala sightings) to describe spatial and temporal trends in koala presence, to estimate koala sighting density and to identify biases associated with sightings. Temporal trends in sightings mirrored the breeding season of koalas. Sightings were high in residential areas (63%), followed by agricultural (15%), and parkland (12%). The study area was divided into 57,780 one-square kilometer grid cells and grid cells with no sightings of koalas decreased over time (from 35% to 21%) indicative of a greater level of spatial overlap of koala home ranges and human activity areas over time. The density of reported koala sightings decreased as distance from primary and secondary roads increased, indicative of a higher search effort near roads. Our results show that koala sighting data can be used to refine koala distribution and population estimates derived from active surveying, on the condition that appropriate bias correction techniques are applied. Collecting koala absence and search effort information and conducting repeated searches for koalas in the same areas are useful approaches to improve the quality of sighting data in citizen science programs.