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Continental-scale drivers of soil microbial extracellular polymeric substances. [PDF]
Shi K +7 more
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From currents to water masses: fine-scale insights into microbial biogeography in the Kuroshio-Oyashio Extension region. [PDF]
Huang R +11 more
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Adaptive Line Transect Sampling
Biometrics, 2002Adaptive line transect sampling offers the potential of improved population density estimation efficiency over conventional line transect sampling when populations are spatially clustered. In adaptive sampling, survey effort is increased when areas of high animal density are located, thereby increasing the number of observations.
J H, Pollard, D, Palka, S T, Buckland
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Line Transect Sampling from a Curving Path
Biometrics, 2001Cutting straight line transects through dense forest is time consuming and expensive when large areas need to be surveyed for rare or highly clustered species. We argue that existing paths or game trails may be suitable as transects for line transect sampling even though they will not, in general, run straight.
L, Hiby, M B, Krishna
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Line Transect Sampling in Small and Large Regions
Biometrics, 2005SummaryMelville and Welsh(2001,Biometrics57,1130–1137) consider an approach to line transect sampling using a separate calibration study to estimate the detection functiong. They present a simulation study contrasting their results with poor results from a traditional estimator, labeled the “Buckland” estimator and referenced toBuckland et al.(1993 ...
Rachel M, Fewster +2 more
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Perpendicular Distance Models for Line Transect Sampling
Biometrics, 1985Perpendicular distance line transect models are examined to assess whether any single model can provide a general procedure for analysing line transect data. Of the two-parameter models considered, the hazard-rate model appears promising, whereas the exponential power series and exponential quadratic models do not.
Stephen Buckland
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A Semiparametric Model for Line Transect Sampling
Communications in Statistics - Theory and Methods, 2006This paper introduces an appealing semiparametric model for estimating wildlife abundance based on line transect data. The proposed method requires the existence of a parametric model and then improves the estimator using a kernel method. Properties of the resultant estimator are derived and an expression for the asymptotic mean square error (AMSE) of ...
Omar Edous
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