Abstract
In geobotany, mapping plant species distributions properly is crucial to guarantee a proper estimate of their dispersal variability in space and time, also considering habitat suitability. In most cases, uncertainty in the modelling procedures has been disregarded. However, hidden uncertainty or bias may hamper robust estimates of the distribution of plant species or species assemblages. In this paper, we propose an approach to mapping uncertainty properly, mainly deriving from sampling effort bias, when mapping plant species distributions.
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Garzon-Lopez, C.X., Rocchini, D. (2021). Plant Species Distributions and Ecological Complexity: Mapping Sampling-Effort Bias Explicitly. In: Pedrotti, F., Box, E.O. (eds) Tools for Landscape-Scale Geobotany and Conservation. Geobotany Studies. Springer, Cham. https://doi.org/10.1007/978-3-030-74950-7_2
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DOI: https://doi.org/10.1007/978-3-030-74950-7_2
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