NDLI: Detecting mammals in heterogeneous landscapes: implications for biodiversity monitoring and management

Content Provider	Springer Nature Link
Author	Swan, Matthew Stefa, Julian Christie, Fiona Steel, Erin York, Alan
Copyright Year	2013
Abstract	With terrestrial mammals facing worldwide declines there is an increasing need to effectively monitor populations so that appropriate conservation actions can be taken. There are many techniques available to survey terrestrial mammals and in recent years there have been a number of studies comparing the effectiveness of different methods. Most of these studies have not considered complementarity (the degree to which techniques detect unique species) and effectiveness across ecological gradients. In this study we examined three widely used techniques, camera trapping, live trapping and hair detection, for their complementarity across a vegetation and disturbance gradient. Overall, camera trapping detected more species than any other single technique, but live trapping complemented the cameras by consistently detecting unique species. Additionally, technique effectiveness differed between vegetation types; cameras alone were most effective in dry forest systems while cameras combined with live traps were most effective in wetter forest systems. These results suggest that care needs to be taken when sampling across heterogeneous landscapes because relying on one technique alone could result in certain taxa being systematically overlooked, leading to potentially erroneous conclusions.
Starting Page	343
Ending Page	355
Page Count	13
File Format	PDF
ISSN	09603115
Journal	Biodiversity and Conservation
Volume Number	23
Issue Number	2
e-ISSN	15729710
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-12-07
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Monitoring Ground-dwelling mammals Camera trapping Elliott trapping Trapping methods Mammal detection Evolutionary Biology Plant Sciences Tree Biology
Content Type	Text
Resource Type	Article
Subject	Ecology Ecology, Evolution, Behavior and Systematics Nature and Landscape Conservation

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