![]() ![]() Species occurrence is of central importance in ecology and its applications. Imperfect detection should be estimated, even in distribution studies of plants and other sessile organisms, to better control detection errors that may compromise the results of species distribution studies. We presume that these problems will be much more widespread in the data sets that are used for conventional plant species distribution modelling. With the absence of a correction for detection errors, maps in plant distribution studies will be confounded with spatial patterns in detection probability. Our findings suggest that even in a standardized monitoring program, imperfect detection of plants may be common. We illustrated detection probability maps for Switzerland based on the modelled relationships with environmental covariates. In 60 species, survey season or elevation had significant effects on detection. Detection probability differed slightly among the four LFs. Based on the stratified random sample of 100 species, detection probability during the first survey ranged 0.02–0.99 (median 0.87) and during the second survey, 0.01–1 (median 0.89). ![]()
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