Leaf spectroscopy as a tool for predicting the presence of isoprene emissions and terpene storage in central Amazon forest trees DOI Creative Commons
Michelle Robin, Flávia Machado Durgante, Caroline Lorenci Mallmann

et al.

Plant Methods, Journal Year: 2025, Volume and Issue: 21(1)

Published: June 4, 2025

Volatile isoprenoids (VIs), such as isoprene, monoterpenes, and sesquiterpenes, participate in various forest-atmosphere processes ranging from plant cell regulation to atmospheric particle formation. The Amazon Forest is the greatest most diverse source of VI emissions, but lack leaf-level studies logistical challenges measuring remote highly biodiverse sites bring high levels uncertainty modeled emission estimates. Studies indicate that leaf spectroscopy an effective tool for estimating morphological, physiological, chemical traits, being a promising more easily assessing emissions vegetation. In this study, we tested ability reflectance predict presence storage central trees. We measured isoprene capacity (Ec; at standard conditions: light 1000 µmol m- 2 s- 1 photosynthetically active radiation temperature 30 ˚C), stored monoterpene sesquiterpene contents, hyperspectral visible short-wave infrared (VSWIR) dry fresh leaves 175 trees 124 species angiosperms. found data, selected wavelengths (616, 694, 1155 nm), predicted with accuracies 0.67 0.72, respectively. Meanwhile, data 0.65 0.67, Our results possibility using spectral readings botanical collections or field inventories orient sampling efforts toward potential isoprene-emitting terpene-storing trees, identify key features (most informative wavelengths) future incorporation into sensing models. use tools detecting can help improve current datasets, reduce modeling uncertainties, contribute better understanding roles VIs within interactions, chemistry, carbon cycle.

Language: Английский

Nitrogen content of herbarium specimens from arable fields and mesic meadows reflect the intensifying agricultural management during the 20th century DOI Creative Commons
Paul Kühn,

Raymond Umazekabiri,

Christine Römermann

et al.

Journal of Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Abstract Arable fields and mesic meadows have been affected by intensifying agricultural management nutrient input during the 20th century, but direct evidence for long‐term impact of intensification on plant contents remains scarce. Non‐destructive novel spectroscopic methods can produce such data from herbarium specimens, making it possible to investigate how leaf traits, especially nitrogen phosphorus, changed over last what role habitat type practices play. We carried out a resurvey study functional traits in arable field meadow communities. used specimens two German herbaria with high coverage their local floras: Senckenberg Görlitz Haussknecht Jena. Following specimen information, same species were resampled 2022 at locations. employed near‐infrared spectroscopy predict nitrogen, phosphorus carbon content specimens. Nutrient changes time compared public records regional P N fertilization. Overall, 1270 76 both studied, oldest 19th century. Leaf nitrogen:phosphorus ratio increased significantly through time, while decreased time. showed stronger response than species. The total amount or fertilizer applied per year scale was found be correlated respective levels. Synthesis : Our shows increase studied habitats, paralleling chemical applications Germany. indicate shift predominantly N‐limited towards more P‐limited growth conditions. could faster adjustment environmental pressures. This thus also serves showcase potential combination collections NIR spectroscopy.

Language: Английский

Citations

4
Guidelines for the effective and ethical sampling of herbaria DOI
Charles C. Davis, Emily B. Sessa, Alan Paton

et al.

Nature Ecology & Evolution, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 27, 2024

Language: Английский

Citations

3
Nitrogen nutritional diagnosis of summer maize (Zea mays L.) based on a hyperspectral data collaborative approach-evaluation of the estimation potential of three-dimensional spectral indices DOI
Zijun Tang, Yaohui Cai,

Youzhen Xiang

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 229, P. 109713 - 109713

Published: Dec. 10, 2024

Language: Английский

Citations

3
FORMING A LARGE, MULTICENTRE HERBARIUM: HERBARIUM HAUSSKNECHT (JE) JOINS HERBARIUM SENCKENBERGIANUM DOI
Stefan Wanke,

Volker Otte,

Marc S. Appelhans

et al.

Taxon, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Language: Английский

Citations

0
A survey on inline soil pollution measurement and mapping technologies DOI Creative Commons
Giorgia Polidori,

Nicola Moggia,

Damiano Crescini

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 117655 - 117655

Published: May 1, 2025

Language: Английский

Citations

0
Leaf spectroscopy as a tool for predicting the presence of isoprene emissions and terpene storage in central Amazon forest trees DOI Creative Commons
Michelle Robin, Flávia Machado Durgante, Caroline Lorenci Mallmann

et al.

Plant Methods, Journal Year: 2025, Volume and Issue: 21(1)

Published: June 4, 2025

Volatile isoprenoids (VIs), such as isoprene, monoterpenes, and sesquiterpenes, participate in various forest-atmosphere processes ranging from plant cell regulation to atmospheric particle formation. The Amazon Forest is the greatest most diverse source of VI emissions, but lack leaf-level studies logistical challenges measuring remote highly biodiverse sites bring high levels uncertainty modeled emission estimates. Studies indicate that leaf spectroscopy an effective tool for estimating morphological, physiological, chemical traits, being a promising more easily assessing emissions vegetation. In this study, we tested ability reflectance predict presence storage central trees. We measured isoprene capacity (Ec; at standard conditions: light 1000 µmol m- 2 s- 1 photosynthetically active radiation temperature 30 ˚C), stored monoterpene sesquiterpene contents, hyperspectral visible short-wave infrared (VSWIR) dry fresh leaves 175 trees 124 species angiosperms. found data, selected wavelengths (616, 694, 1155 nm), predicted with accuracies 0.67 0.72, respectively. Meanwhile, data 0.65 0.67, Our results possibility using spectral readings botanical collections or field inventories orient sampling efforts toward potential isoprene-emitting terpene-storing trees, identify key features (most informative wavelengths) future incorporation into sensing models. use tools detecting can help improve current datasets, reduce modeling uncertainties, contribute better understanding roles VIs within interactions, chemistry, carbon cycle.

Language: Английский

Citations

0