Document Type
Article
Publication Date
3-12-2024
Publication Title
Frontiers in Plant Science
Volume
15
Pages
1-12
Publisher Name
Frontiers Media
Abstract
Two species of clonal Typha [T. latifolia (native) and T. angustifolia (exotic)] hybridize to form the highly invasive, heterotic (high vigor) T. × glauca in North American wetlands leading to increased primary production, litter accumulation, and biodiversity loss. Conservation of T. latifolia has become critical as invasive Typha has overwhelmed wetlands. In the field, Typha taxa identification is difficult due to subtle differences in morphology, and molecular identification is often unfeasible for managers. Furthermore, improved methods to non-destructively estimate Typha biomass is imperative to enhance ecological impact assessments. To address field-based Typha ID limitations, our study developed a predictive model from 14 Typha characters in 7 northern Michigan wetlands to accurately distinguish Typha taxa (n = 33) via linear discriminant analysis (LDA) of molecularly identified specimens. In addition, our study developed a partial least squares regression (PLS) model to predict Typha biomass from field collected measurements (n = 75). Results indicate that two field measurements [Leaf Counts, Longest Leaf] can accurately differentiate the three Typha taxa and advanced-generation hybrids. The LDA model had a 100% correct prediction rate of T. latifolia. The selected PLS biomass prediction model (sqrt[Typha Dry Mass] ~ log[Ramet Area at 30 cm] + Inflorescence Presence + Total Ramet Height + sqrt[Organic Matter Depth]) improved upon existing simple linear regression (SLR) height-to-biomass predictions. The rapid field-based Typha identification and biomass assessment tools presented in this study advance targeted management for regional conservation of T. latifolia and ecological restoration of wetlands impacted by invasive Typha taxa.
Recommended Citation
Ohsowski, Brian M.; Redding, Cassidy; Geddes, Pamela; and Lishawa, Shane. Field-based measurement tools to distinguish clonal Typha taxa and estimate biomass: a resource for conservation and restoration. Frontiers in Plant Science, 15, : 1-12, 2024. Retrieved from Loyola eCommons, School of Environmental Sustainability: Faculty Publications and Other Works, http://dx.doi.org/10.3389/fpls.2024.1348144
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright Statement
© The Author(s), 2024.
Comments
Author Posting ©data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNgYAAAAAMAASsJTYQAAAAASUVORK5CYII= Frontiers Media, 2024. This article is posted here by permission of Frontiers Media for personal use and redistribution. This article was published open access in Frontiers in Plant Science, Vol. 15, (March 11, 2024), https://doi.org/10.3389/fpls.2024.1348144.