Linganisha mbinu

	Sampuli ya Umbali	Mkondo wa Mkusanyiko wa Spishi
Nyanja	Ikolojia	Ikolojia
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1993	1968
Mwanzilishi	Stephen Buckland	Henry Sanders
Aina	population abundance estimation	biodiversity quantification and comparison
Chanzo asilia	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.	Colwell, R. K. (1994). Estimating terrestrial biodiversity through extrapolation. Philosophical Transactions of the Royal Society B, 345(1311), 101-118.
Majina mbadala	line transect, point transect, distance estimation, detection probability	rarefaction, species accumulation curve, species richness curve
Zinazohusiana	4	4
Muhtasari	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.	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.