Estimating species richness: calibrating a large avian monitoring programme
By Marc Kéry, Hans Schmid. 2005
95 citations recorded by the source corpus.
Subfields: Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/7353e7ae139ac906f934698421bdebe70b2af403
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- E. Kalko
- Kirsten Jung
- Christoph F. J. Meyer
- Tigga Kingston
- P. Racey
- Thomas H. Kunz
- Lluís Brotons
- D. Faria
In Nature and Landscape Conservation
- Lluís Brotons
- S. Herrando
- Bruce D. Patterson
- D. Faria
- Magda Pla
- Christoph F. J. Meyer
- E. Kalko
- J. Fahr
Citations in the corpus
- Needles in haystacks: Estimating detection probability and occupancy of rare and cryptic snakes (2011, unknown): “50’’ (Kéry and Schmid, 2006).”
- Accounting for detectability improves estimates of species richness in tropical bat surveys (2011, methodology): “Unbiased estimates of the relative difference in observed species richness require that mean species detectabilities are equal across assemblages (Kéry & Schmid 2006).”
- Updating bird species distribution at large spatial scales: applications of habitat modelling to data from long‐term monitoring programs (2007, methodology): “However, detecting species reliably requires considerable effort (Kery & Schmid, 2005; McPherson et al ., 2006), and atlas works commonly aim at covering large areas.”
- Environmental predictors of species richness in forest landscapes: abiotic factors versus vegetation structure (2016, unknown): “Mean detectability of birds was estimated at 89% (K ery & Schmid, 2006).”