J Plant Ecol ›› Advance articles     DOI:10.1093/jpe/rtaf210

• Research Article •    

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

Peng Wanga,b,c,d,e, Lei Lib,c,d,e, Qiuyan Wangb,d, Yanju Gaob,c,d, Bo Zhangb,c,d,e, Xiangyi Lib,c,d,e,*, Qiang Zenga,**   

  1. a College of Ecology and Environment, Xinjiang University, Urumqi, 830011, China;

    b Xinjiang Key Laboratory of Desert Plant Roots Ecology and Vegetation Restoration, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China;

    c State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China;

    d Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele, 848300, China; e University of Chinese Academy of Sciences, Beijing, 100049, China

    * Corresponding author.

    ** Corresponding author.

    E-mail addresses: lixy@ms.xjb.ac.cn (X. Li), zengqiang@xju.edu.cn (Q. Zeng)

  • Received:2025-08-12 Accepted:2025-11-24 Published:2025-12-02
  • Supported by:
    This work was supported by the Xinjiang Science and Technology Innovation Leading Talent Project, China (grant number 2024TSYCLJ0028) and National Natural Science Foundation of China (grant numbers 42171066, 41877420).

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.

Key words: Photodegradation, Litter decomposition, Spectral regions, Plant traits, Hyper-arid desert, Carbon cycle

摘要:
在水分匮乏的生态系统中,光降解是碳周转的主要途径。然而,在极度干旱的荒漠环境中,光谱组成和植物性状对凋落物分解的联合效应仍不明确,这限制了凋落物碳通量预测的准确性。在一项为期637天的野外实验中,我们选取了3种具有代表性的荒漠植物(胡杨、疏叶骆驼刺和花花柴),通过设置6种光谱处理实验,研究凋落物的光降解过程。在全光谱下,凋落物的分解速率提升了70%,而其它5个单一光波段下,只有UV-B(280–315 nm)和蓝光(400–500 nm)显著加速了凋落物的质量损失,分别占全光谱效应的43%和29%。这两个光波段还加速了凋落物碳和纤维素的损失。而绿光(500–580 nm)则选择性地促进了半纤维素和木质素的降解,但并未整体影响凋落物的质量损失。UV-B和蓝光还分别提升了12.9%和7.0%的凋落物比叶面积,促进了凋落物的微生物降解,在25℃和60%相对湿度下室内培养24小时凋落物微生物呼吸速率分别提升了54.6%和40.6%。在4个光谱区域内,初始碳含量、木质素氮比、比叶面积(SLA)以及微生物呼吸率(LMR)与凋落物的光降解呈显著相关,其中单位面积的微生物呼吸率和木质素含量是光降解速率的最有效预测指标。这些结果阐明了光谱组成和植物性状对凋落物光降解的共同调控作用,深化了对极端干旱生态系统中碳循环机制的理解,并为地球系统模型的参数优化提供了科学依据。

关键词: 光降解, 凋落物分解, 光谱区域, 植物性状, 极端干旱沙漠, 碳循环