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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Mostra e distancës×Kura e akumulimit të specieve×
FushaEkologjiEkologji
FamiljaProcess / pipelineProcess / pipeline
Viti i origjinës19931968
KrijuesiStephen BucklandHenry Sanders
Llojipopulation abundance estimationbiodiversity quantification and comparison
Burimi themeluesBuckland, 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 ↗Colwell, R. K. (1994). Estimating terrestrial biodiversity through extrapolation. Philosophical Transactions of the Royal Society B, 345(1311), 101-118. DOI ↗
Emërtime të tjeraline transect, point transect, distance estimation, detection probabilityrarefaction, species accumulation curve, species richness curve
Të lidhura44
PërmbledhjaDistance 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.Species accumulation curves describe how the number of observed species increases with cumulative sampling effort. Introduced by Sanders (1968) and developed by Colwell and colleagues, this method enables ecologists to compare biodiversity across sites and estimate total species richness despite incomplete sampling. It addresses a fundamental challenge in ecology: observed species counts are biased by sampling intensity.
ScholarGateSeti i të dhënave
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  1. v1
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  3. PUBLISHED

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ScholarGateKrahasoni metodat: Distance Sampling · Species Accumulation. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare