Using near-infrared spectroscopy to predict nitrogen and phosphorus concentrations of herbarium specimens under different storage conditions.

ABSTRACT:

Background

Herbaria are becoming increasingly important as archives of biodiversity, and play a central role in taxonomic and biogeographic studies. There is also an ongoing interest in functional traits and the way they mediate interactions between a plant species and its environment. Herbarium specimens allow tracking trait values over time, and thus, capturing consequences of anthropogenic activities such as eutrophication. Here, we present an open, reproducible, non-destructive workflow to collect leaf trait data from herbarium specimens using near-infrared spectroscopy (NIRS), and a proof of concept for the reliability of this approach.

Results

We carried out three experiments to test the suitability of non-destructive NIRS methods to predict leaf traits both for fresh

SUBMITTER: Kuhn P 

PROVIDER: S-EPMC10835964 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature