Journal article
Traits influence detection of exotic plant species in tropical forests
DI Junaedi, MA McCarthy, G Guillera-Arroita, JA Catford, MA Burgman
Plos One | PUBLIC LIBRARY SCIENCE | Published : 2018
Open access
Abstract
Detecting exotic plant species is essential for invasive species management. By accounting for factors likely to affect species’ detection rates (e.g. survey conditions, observer experience), detectability models can help choose search methods and allocate search effort. Integrating information on species’ traits can refine detectability models, and might be particularly valuable if these traits can help improve estimates of detectability where data on particular species are rare. Analysing data collected during line transect distance sampling surveys in Indonesia, we used a multi-species hierarchical distance sampling model to evaluate how plant height, leaf size, leaf shape, and survey loc..
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Awarded by Australian Research Council
Funding Acknowledgements
[ "Decky I. Junaedi is supported by a Melbourne Research Scholarship (MRS, URL: https://scholarships.unimelb.edu.au/awards/graduate-research-scholarships) and Centre of Excellence for Biosecurity Risk Analysis (CEBRA, URL: https://cebra.unimelb.edu.au/home) for his postgraduate study (living allowance, tuition, travel cost to study sites, and desk-lab supports) in University of Melbourne during the completion of this work. Jane A. Catford is supported by the Australian Research Council (DE120102221) and ARC Centre of Excellence for Environmental Decisions (CEED, URL: http://ceed.edu.au/). All the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.", "DIJ thanks the managements and numerous staff members of Cibodas Botanic Gardens-LIPI, Eka Karya Bali Botanic Gardens-LIPI, Gede-Pangrango National Park (TNGGP), BKSDA Bali, Ciremai National Park (TNGC), Baturraden Botanic Gardens (Kebun Raya Baturraden), and Kuningan Botanic Gardens (Kebun Raya Kuningan) for their supports during fieldworks. The authors also thank Stuart Jones for dedicated peer review and comments on the draft manuscript. DIJ thank two anonymous reviewers (thesis external reviewers) for their constructive comments and suggestions for the manuscript improvement. DIJ is supported by a Melbourne Research Scholarship (MRS) and Centre of Excellence for Biosecurity Risk Analysis (CEBRA) during the completion of this work. We acknowledge support from the Australian Research Council (DE120102221 to JAC) and ARC Centre of Excellence for Environmental Decisions (CEED)." ]