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Metabarkódování environmentální DNA (eDNA)×Metoda vzdálenostního vzorkování×
OborEkologieEkologie
RodinaProcess / pipelineProcess / pipeline
Rok vzniku20121993
TvůrcePierre TaberletStephen Buckland
Typspecies detection and community assessmentpopulation abundance estimation
Původní zdrojTaberlet, P., Coissac, E., Hajibabaei, M., & Rieseberg, L. H. (2012). Environmental DNA. Molecular Ecology, 21(8), 1789-1793. DOI ↗Buckland, S. T., Anderson, D. R., Burnham, K. P., Laake, J. L., Borchers, D. L., & Thomas, L. (1993). Distance Sampling: Estimating Abundance of Biological Populations. Chapman and Hall, London. link ↗
Další názvyeDNA, metabarcoding, DNA metabarcoding, genetic monitoringline transect, point transect, distance estimation, detection probability
Příbuzné44
ShrnutíEnvironmental DNA (eDNA) metabarcoding detects and identifies species present in environmental samples (water, soil, air) by sequencing short DNA fragments released by organisms. Developed by Taberlet and colleagues (2012), this approach has revolutionized biodiversity monitoring: species can be surveyed without capture, observation, or complex sampling designs. Metabarcoding sequences millions of DNA fragments, identifies reads taxonomically, and assigns them to species. The method is non-invasive, rapid, and cost-effective, enabling large-scale biodiversity surveys and early detection of cryptic or rare species.Distance sampling is a statistical method for estimating population abundance from data on distances between observers and detected individuals. Developed by Buckland and colleagues (1993) and formalized in the software Distance, this approach accounts for imperfect detection: animals far from an observer are less likely to be detected. By modeling the detection function (probability of detecting an animal at various distances), distance sampling produces unbiased estimates of abundance and density even when detection is incomplete.
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ScholarGatePorovnat metody: eDNA Metabarcoding · Distance Sampling. Získáno 2026-06-15 z https://scholargate.app/cs/compare