Advances in aerial survey methods for macropods in New South Wales and Queensland. (2nd November 2021)

• Record Type: Journal Article
• Authors: Finch, Neal; Pople, Anthony; McLeod, Steven R.; Wallace, Glenn
• Other Names: Read John L. guestEditor.; Coulson Graeme guestEditor.; Radford James Q. guestEditor.; Wilson George R. guestEditor.
• Is Part Of: Ecological management & restoration. Volume 22(2021)Supplement 1
• Page Start: 99
• Page End: 105
• Publication Date: 2021-11-02
• Subjects: monitoring and evaluation -- techniques and methodology -- aerial survey -- kangaroos -- harvesting -- macropod; Ecosystem management -- Periodicals; Restoration ecology -- Periodicals; 577.05
• DOI: 10.1111/emr.12486
• Languages: English
• ISSNs: 1442-7001

Abstract

Summary: This paper describes advances made to aerial surveys of macropods in New South Wales and Queensland. Regular aerial surveys of macropods across large areas of Australia's arid and semi‐arid rangelands were established as a response to concerns for the species' conservation. They became integral to the harvest management of the four macropod species – Eastern Grey Kangaroo ( Macropus giganteus ), Western Grey Kangaroo ( M . fuliginosus ), Red Kangaroo ( Osphranter rufus ) and Common Wallaroo ( O . robustus ). Harvest quotas are set as a proportion of population size, requiring absolute estimates of abundance. Counts were made in strip transects from fixed‐wing aircraft, but required correction for animals that are missed. In New South Wales and Queensland, counts are now made using line transect sampling, providing survey‐specific correction. Helicopters are used in more rugged and timbered areas and where Common Wallaroo can be more frequently found and harvested. Mark‐recapture distance sampling is used in more open country that can be surveyed using fixed‐wing aircraft and improves the accuracy of density estimates by accounting for animals missed on the transect line. Macropod populations are likely to be surveyed in the future by airborne imagery and by drones, but the technology needs further development. Spatial models could usefully provide small‐scale density estimates and address non‐random sampling.