Functional confidence bands for lichen biodiversity profiles: A case study in Tuscany region central Italy
作者： Tonio Di Battista , Francesca Fortuna
DOI: 10.1002/SAM.11334
关键词: Data set 、 Relative species abundance 、 Functional data analysis 、 Smoothing 、 Context (language use) 、 Lichen 、 Confidence and prediction bands 、 Geography 、 Cartography 、 Biodiversity
摘要: Biomonitoring techniques are widely used to assess environmental damages through the changes occurring in composition of species communities. Among living organisms as bioindicators, epiphytic lichens, recognized reliable indicators air pollution. However, lichen biodiversity studies generally based on analysis a scalar measure that omits composition. For this reason, we propose analyze data diversity profiles and functional approach. Indeed, may be naturally considered because they expressed functions abundance vector fixed domain. The peculiarity these is space constituted by set curves belonging same family. In context, simultaneous confidence bands obtained for mean profile Karhunen-Love KL decomposition. novelty our method lies exploiting known form function underlying data. This allows us work directly avoiding smoothing techniques. band procedure applied real concerning Tuscany region central Italy. Confidence intrinsic expansion.
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