Spectral components and plant traits co-regulate litter photodegradation in hyper-arid regions

Abstract In water-limited ecosystems, photodegradation is a dominant pathway of carbon (C) turnover. However, the combined effects of spectral composition and litter traits in hyper-arid deserts remain poorly constrained, limiting the accuracy of C flux predictions. In a 637-day field experiment with three representative desert species (Populus euphratica, Alhagi sparsifolia and Karelinia caspia), we applied natural light filters to establish six spectral treatments. Full-spectrum exposure increased litter decomposition by 70%; of the five individual wave-bands, only UV-B (280–315 nm) and blue light (400–500 nm) significantly accelerated mass loss, accounting for 43% and 29% of the full-spectrum effect, respectively. These two wave-bands accelerated C and cellulose loss, whereas green light (500–580 nm) selectively promoted hemicellulose and lignin degradation without affecting total mass. UV-B and blue light also increased specific leaf area (SLA) by 12.9% and 7.0% and elevated litter microbial respiration rate (LMR, 24-h incubation at 25 °C, 60% relative humidity) by 54.6% and 40.6%, respectively. Across four spectral regions, initial C content, lignin:N ratio, SLA and LMR were significantly correlated with photodegradation rate, with LMR and lignin content per unit surface area being the strongest predictors of susceptibility. These results highlight the co-regulation of photodegradation by spectral composition and plant traits, advancing mechanistic understanding of C cycling in hyper-arid ecosystems and providing refined parameters for Earth system models changing solar regimes.

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Publication Details

Journal
Journal of Plant Ecology
Published
2025-12-01
DOI
https://doi.org/10.1093/jpe/rtaf210
Primary Topic
Biocrusts and Microbial Ecology
Type
article
Field-Weighted Citation Impact
0.00

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article

Spectral components and plant traits co-regulate litter photodegradation in hyper-arid regions

Yanju Gao, Lei Li, Qiang Zeng, Bo Zhang et al.
Journal of Plant Ecology
Biocrusts and Microbial Ecology
article

Spectral components and plant traits co-regulate litter photodegradation in hyper-arid regions

Yanju Gao, Lei Li, Qiang Zeng, Bo Zhang, Xiangyi Li, Qiuyan Wang, Peng Wang
article en

Abstract

Abstract In water-limited ecosystems, photodegradation is a dominant pathway of carbon (C) turnover. However, the combined effects of spectral composition and litter traits in hyper-arid deserts remain poorly constrained, limiting the accuracy of C flux predictions. In a 637-day field experiment with three representative desert species (Populus euphratica, Alhagi sparsifolia and Karelinia caspia), we applied natural light filters to establish six spectral treatments. Full-spectrum exposure increased litter decomposition by 70%; of the five individual wave-bands, only UV-B (280–315 nm) and blue light (400–500 nm) significantly accelerated mass loss, accounting for 43% and 29% of the full-spectrum effect, respectively. These two wave-bands accelerated C and cellulose loss, whereas green light (500–580 nm) selectively promoted hemicellulose and lignin degradation without affecting total mass. UV-B and blue light also increased specific leaf area (SLA) by 12.9% and 7.0% and elevated litter microbial respiration rate (LMR, 24-h incubation at 25 °C, 60% relative humidity) by 54.6% and 40.6%, respectively. Across four spectral regions, initial C content, lignin:N ratio, SLA and LMR were significantly correlated with photodegradation rate, with LMR and lignin content per unit surface area being the strongest predictors of susceptibility. These results highlight the co-regulation of photodegradation by spectral composition and plant traits, advancing mechanistic understanding of C cycling in hyper-arid ecosystems and providing refined parameters for Earth system models changing solar regimes.

Journal of Plant EcologyVol. 19(2)
Chinese Academy of Sciences (CN), Institute of Ecology and Geography (MD), Xinjiang Institute of Ecology and Geography (CN), University of Chinese Academy of Sciences (CN), Bristol-Myers Squibb (Switzerland) (CH), Xinjiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 72%
Biocrusts and Microbial Ecology
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