Results 261 to 270 of about 17,512,468 (321)

Distinct Environmental DNA States Reveal Biodiversity and Transport Patterns Across Alpine Watersheds. [PDF]

Mol Ecol Resour
Kirtane A, van der Loo E, Doppmann Z, Deiner K.   +3 more
europepmc   +1 more source

Strong catchment-specific structuring of Swedish wastewater microbiomes in a paired two-timepoint metagenomic survey. [PDF]

Front Microbiol
Mukhedkar D, Stosic MS, Székely AJ, Avershina E, Arroyo Mühr LS.   +4 more
europepmc   +1 more source

Correction for Sireci et al., Environmental fluctuations explain the universal decay of species-abundance correlations with phylogenetic distance. [PDF]

Proc Natl Acad Sci U S A
europepmc   +1 more source

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Estimating the Encounter Rate Variance in Distance Sampling

Biometrics, 2009
SummaryThe dominant source of variance in line transect sampling is usually the encounter rate variance. Systematic survey designs are often used to reduce the true variability among different realizations of the design, but estimating the variance is difficult and estimators typically approximate the variance by treating the design as a simple random ...
David L Borchers, Rachel Fewster, Len Thomas   +2 more
exaly   +4 more sources

Distance Sampling: Estimating Abundance of Biological Populations

Biometrics, 1994
S. Lutz, S. Buckland, D. Anderson, K. Burnham, J. Laake   +4 more
semanticscholar   +2 more sources

Double-observer distance sampling improves the accuracy of density estimates for a threatened arboreal mammal

Wildlife research (East Melbourne), 2021
Context. Determining population size or density is often fundamental for wildlife conservation. For nocturnal species, indices are commonly used in place of abundance estimates, with spotlighting indices (e.g.
J. Cripps, J. Nelson, M. Scroggie, L. Durkin, D. Ramsey, L. Lumsden   +5 more
semanticscholar   +1 more source

Integrating distance sampling and presence-only data to estimate species abundance.

Ecology, 2020
Integrated models combine multiple data types within a unified analysis to estimate species abundance and covariate effects. By sharing biological parameters, integrated models improve the accuracy and precision of estimates compared to separate analyses
Matthew T. Farr, D. Green, K. Holekamp, Elise F. Zipkin   +3 more
semanticscholar   +1 more source