title: Estimating detection-effort curves for plants using search experiments.
abstract: Recent studies suggest that plant detection is not perfect, even for large, highly visible plants. However, this is often not taken into account during plant surveys where failing to detect a plant when present can result in poor management and biodiversity outcomes. Including knowledge of imperfect detectability into survey design and evaluation is hampered by the paucity of empirical data, and in particular, how detectability will change with search effort, plant size and abundance, the surrounding vegetation, or observer experience. We carried out a search experiment to measure the detection-effort curve for the invasive species orange hawkweed (Hieracium aurantiacum) in Victoria, Australia. The probability that hawkweed was detected increased with increasing search effort and the number of plants at the location. While detection probability varied between observers, experience appeared to have little effect. Accounting for imperfect detectability in plant surveys holds much promise for improved survey design and biodiversity outcomes, and we encourage other researchers to undertake similar experiments to further our understanding of plant detectability.
authors.affiliation: Applied Environment Decision Analysis CERF, School of Botany, University of Melbourne, Parkville 3010, Victoria, Australia. joslinm@unimelb.edu.au
authors.forename: Joslin L
authors.initials: JL
authors.lastname: Moore
authors.forename: Cindy E
authors.initials: CE
authors.lastname: Hauser
authors.forename: Jennifer L
authors.initials: JL
authors.lastname: Bear
authors.forename: Nicholas S G
authors.initials: NS
authors.lastname: Williams
authors.forename: Michael A
authors.initials: MA
authors.lastname: McCarthy
mesh_terms: D000818:Animals; D019659:Asteraceae / Q000502:physiology*; D001315:Australia; D003710:Demography; D058865:Introduced Species; D008962:Models, Theoretical; D015588:Observer Variation; D011156:Population Density