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A spectral weighting function for abiotic photodegradation based on photochemical emission of CO2 from leaf litter in sunlight

  • Thomas A. DayEmail author
  • Michael S. Bliss
Article
  • 46 Downloads

Abstract

Photodegradation can be a significant driver of leaf litter decomposition although the spectral effectiveness of sunlight in driving this process is not well characterized. We developed spectral weighting functions (WFs) for the photochemical emission of CO2 from three leaf litter types using 10 cutoff filters that provided contrasting polychromatic sunlight under clear skies in Tempe, AZ, USA. An iterative nonlinear least-squares regression fitting procedure was used to estimate how effective sunlight at a given wavelength was in eliciting CO2 emission. Although absolute CO2 emission rates varied appreciably among litter types, their WFs were very similar. Using the average WF of all litter types, the effectiveness of sunlight declined from 300 nm by one and two orders of magnitude at 399 and 498 nm, respectively. The slope of the WF was most similar to WFs for CO emission from terrestrial leaf litter and photobleaching of dissolved organic matter in lakes, and was much more gradual than WFs addressing UV damage to biotic processes. Peak effectiveness of clear-sky noon sunlight with our WF occurred at 330 nm, with UV-B (280–320 nm), UV-A (320–400 nm) and visible (400–550 nm) wavebands responsible for 9, 61 and 30% of CO2 emission, respectively. Results from past field studies suggest that solar UV is typically less effective in driving litter mass loss than our WF predicts; we discuss possible reasons for this discrepancy. The gradual slope of our WF implies that differences in UV-B irradiance associated with stratospheric ozone thickness or latitude are unlikely to significantly influence photochemical litter emission.

Keywords

Action spectra Litter decomposition Photodegradation Photomineralization UV radiation Visible radiation 

Notes

Acknowledgements

We thank Dr. Gunnar W. Schade, Department of Atmospheric Sciences, Texas A&M University, for providing data for his action spectra of CO emission from leaves. This work was supported by the National Science Foundation under grant DEB-1256180 to TAD. The authors declare no conflict of interest.

Supplementary material

10533_2019_616_MOESM1_ESM.docx (14 kb)
Supplementary file1 (DOCX 13 kb)

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Life SciencesArizona State UniversityTempeUSA

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