Abstract
In this paper, the consequences are assessed of species identification errors when estimating species diversity with the Shannon-Weaver index. Species misclassification can be due to recording error, editing error, poor field crew training, etc. In certain situations, misclassification can lead to biased estimates of the biodiversity index as well as inflated variance estimates. Different approaches are presented for assessing the consequences of misclassification. The results of a control study are presented. The work presented is part of an ongoing study to develop error budgets for different types of comprehensive stochastic dynamic modelling systems for both plant and forest communities.
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© 1998 Springer Science+Business Media Dordrecht
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Gertner, G., Cao, X., Pelz, D. (1998). Estimation of Forest Diversity with Misclassification. In: Bachmann, P., Köhl, M., Päivinen, R. (eds) Assessment of Biodiversity for Improved Forest Planning. Forestry Sciences, vol 51. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9006-8_19
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DOI: https://doi.org/10.1007/978-94-015-9006-8_19
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