Species richness estimation and determinants of species detectability in butterfly monitoring programmes
By Marc Kéry, M. Plattner. 2007
93 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology
View Paper: https://www.semanticscholar.org/paper/30a7410fedfe715c28d698f66383168762014308
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
In Ecology
- E. Kalko
- Kirsten Jung
- Christoph F. J. Meyer
- Tigga Kingston
- P. Racey
- Thomas H. Kunz
- D. Faria
- N. Furey
Citations in the corpus
- Butterfly monitoring in Europe: methods, applications and perspectives (2008, methodology): “Observers never detect all butterfly individuals present during their visit in the study area (Dennis et al. 2006; Kéry and Plattner 2007).”
- Distance sampling and the challenge of monitoring butterfly populations (2011, unknown): “Variation among recorders therefore deserves further consideration (Kery & Plattner 2007; Nowicki et al. 2008), possibly by observing a range of recorders surveying the same sites.”
- Accounting for detectability improves estimates of species richness in tropical bat surveys (2011, methodology): “To obtain detectability estimates at the species level, we followed the approach of Kéry & Plattner (2007), and restricted analysis to species that were captured during survey i, and modelled the probability that a species was also detected in the subsequent survey i + 1.”
- Needles in haystacks: Estimating detection probability and occupancy of rare and cryptic snakes (2011, background): “Estimated values for butterflies are similarly high (mean for 150 spp. = 0.61, SE = 0.01; Kéry and Plattner, 2007), due to the conspicuousness of these brightly-colored, flying, diurnal species.”