1994 · 77 citations · 16 references
Life SciencesEcologyForestryBiodiversity MonitoringOrnithologyWildlife BiologyAbundance EstimationBird EcologyMissing Data ComputationMissing Data MethodsPopulation ModelingWildlife Survey MethodsBird Community MonitoringHandling Missing DataIndex Of Abundance EstimationPoisson RegressionPopulation Trend AnalysisStatistical Abundance EstimationTime-series Abundance AnalysisTime-series Abundance Indices
Large-scale monitoring of bird species becomes more and more important in many countries. In the datasets yielded by these censuses, values are often missing. This poses problems in the analysis of the data. Currently five methods are used to obtain yearly indices of abundance and trends over time: chain index, indexing according to the Mountford method, route regression, imputing of missing data and loglineair Poisson regression. Of each method the advantages and the limitations are dealt with. The loglinear Poisson regression appears to be the most promising approach. 1) DLO-Institute for Forestry and Nature Research & DLO-Agricultural Mathematics Group, P.O. Box 100, 6700 AC Wageningen, The Netherlands 2) Statistics Netherlands, P.O. Box 4000, 2270 JM Voorburg, The Netherlands
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