Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Detectability of the global weedHypochaeris radicatais influenced by species, environment and observer characteristics

dc.contributor.authorNg, Katherina
dc.contributor.authorDriscoll, Don
dc.date.accessioned2018-10-17T02:41:51Z
dc.date.available2018-10-17T02:41:51Z
dc.date.issued2015
dc.description.abstractAims To determine the detectability of a global weedy perennial weed Hypochaeris radicata and its relationship with five common observer, species and environmental variables. Methods Trained independent observers conducted time-limited repeat surveys of H. radicata during autumn in an endangered grassy boxgum woodland ecosystem in south-east Australia. Single-species single-season site-occupancy modelling was used to determine if detectability of H. radicata was altered by five covariates, observer, litter height, grazing, maximum plant height and flowering state. Important Findings Detectability for H. radicata varied significantly with observer, litter height, plant maximum height and flowering state, but not with grazing. Despite significant observer-specific variation, there was a consistent increase in detectability with plant height and when plants are in flower for all observers. Detectability generally decreased as litter height increases. Perfect or constant detection rates cannot be assumed in plant surveys, even for easily recognizable plants in simple survey conditions. Understanding how detectability is influenced by common survey variables can help improve the efficacy of plant monitoring programs by quantifying the extent of uncertainty in inferences made from survey data, or by determining optimal survey conditions to increase the reliability of collected data. For plants with traits similar to H. radicata, surveying when most plants are at maximum height or in flower, increasing search intensity when litter levels are high and minimizing observer-related heterogeneity are potentially simple and effective ways to reduce detection errors. We speculate that detection rates may be lower, more variable and involve additional covariates when surveying during the peak flowering spring season with the presence of more warm season and taller annual species.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.citationKatherina Ng, Don A. Driscoll; Detectability of the global weed Hypochaeris radicata is influenced by species, environment and observer characteristics, Journal of Plant Ecology, Volume 8, Issue 4, 1 August 2015, Pages 449–455, https://doi.org/10.1093/jpe/rtu032en_AU
dc.identifier.issn1752-9921en_AU
dc.identifier.urihttp://hdl.handle.net/1885/148426
dc.sourceJournal of Plant Ecologyen_AU
dc.subjectHypochaeris radicata, grassy woodland, detection probability, detectability, vegetation survey, plant monitoring, observation bias, false absenceen_AU
dc.titleDetectability of the global weedHypochaeris radicatais influenced by species, environment and observer characteristicsen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue4en_AU
local.bibliographicCitation.lastpage455en_AU
local.bibliographicCitation.startpage449en_AU
local.contributor.affiliationFenner School of Environment and Society, Australian National University, Canberra, Australiaen_AU
local.identifier.citationvolume8en_AU
local.identifier.doi10.1093/jpe/rtu032en_AU
local.type.statusPublished Versionen_AU

Downloads

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
884 B
Format:
Item-specific license agreed upon to submission
Description: