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A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

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Detecting the Multiple Facets of Biodiversity.

Marta A Jarzyna¹, Walter Jetz²

¹Department of Ecology and Evolutionary Biology, Yale University, 165 Prospect Street, New Haven 06520, CT, USA.

Trends in Ecology & Evolution

|May 12, 2016

Summary

Imperfect species detection can bias estimates of functional and phylogenetic diversity (FD and PD). Accounting for detection probability is crucial for accurate biodiversity assessments across gradients.

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Area of Science:

Ecology
Biogeography
Biodiversity Science

Background:

Community ecology and biogeography increasingly utilize species' functional and phylogenetic attributes for biodiversity assessments.
Accurate estimation of biodiversity, including functional and phylogenetic diversity (FD and PD), relies on robust detection and quantification of species occurrences.
Imperfect detection is a pervasive challenge that can affect ecological and biogeographical inferences.

Purpose of the Study:

To investigate the implications of imperfect species detection on estimates of functional and phylogenetic diversity (FD and PD).
To explore potential differences in detectability between taxonomic diversity (TD), FD, and PD.
To examine how TD, FD, and PD may vary across spatial and environmental gradients due to detection biases.

Main Methods:

Extension of occupancy modeling frameworks to account for imperfect detection in biodiversity facets.
Adaptation of dendrogram-based methods to incorporate detection probabilities.
Comparative analysis of detection probabilities across taxonomic, functional, and phylogenetic diversity metrics.

Main Results:

Imperfect detection can lead to biased estimates of functional and phylogenetic diversity.
Detectability of FD and PD may differ from that of taxonomic diversity (TD).
Biodiversity facets (TD, FD, PD) exhibit distinct spatial and environmental variation patterns influenced by detection probabilities.

Conclusions:

Addressing imperfect detection is essential for reliable biodiversity assessments, particularly for functional and phylogenetic diversity (FD and PD).
The developed methods provide a framework for more accurate ecological and biogeographical studies.
Understanding detection heterogeneity is key to interpreting biodiversity patterns across environmental gradients.