太阳辐射对陆地生态系统中垃圾分解影响的研究进展。

Q3 Environmental Science 应用生态学报 Pub Date : 2024-09-18 DOI:10.13287/j.1001-9332.202409.009
Juan-Juan Zhang, Xing-Zhi Li, Ya-Nan Wang, Jiao-Jiao Deng, Li Zhou, Wang-Ming Zhou, Da-Pao Yu, Qing-Wei Wang
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引用次数: 0

摘要

废弃物的分解对陆地生态系统的碳(C)动态有重大影响。太阳辐射不仅对光合作用固定碳和初级生产力至关重要,而且还能通过光降解直接或间接地促进垃圾分解。最近,光降解被认为是推动垃圾分解的一个关键因素,并可能对陆地碳循环产生影响。为了丰富和发展垃圾分解理论,我们总结了光降解的机理和主要驱动因素,并比较了不同尺度下光降解对环境和气候变化的响应。光降解主要包括光矿化、光抑制和光和解,在不同环境条件下对垃圾分解的影响各不相同。光降解与太阳辐射、垃圾特性、温度、湿度、微生物和植被覆盖等因素密切相关。这些因素之间的相互作用使得光降解的模式变得更加复杂。最后,我们指出了垃圾光降解研究中的主要问题,并展望了未来的研究方向。我们强调了深入探索光降解途径和内在机制、量化光降解与环境因素的交互影响以及优化传统碳周转模型的必要性。
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Research advance in effects of solar radiation on litter decomposition in terrestrial ecosystems.

Litter decomposition significantly influences the carbon (C) dynamics of terrestrial ecosystems. Solar radiation is not only essential for photosynthetic C fixation and primary productivity, but also can directly or indirectly promote litter decomposition through photodegradation. Recently, photodegradation has been identified as a key factor driving litter decomposition and potentially impacts terrestrial C cycle. To enrich and develop the theory of litter decomposition, we summarized the mechanisms and main driving factors of photodegradation, and compared the responses of photodegradation to environment and climate changes at different scales. Photodegradation primarily includes photomineralization, photoinhibition, and photofaciliation, each affecting litter decomposition differently under various environmental conditions. Photodegradation is closely related to factors such as solar radiation, litter traits, temperature, moisture, microorganisms, and vegetation cover. The interactions among these factors complicate the patterns of photodegradation. Finally, we identified the main issues in litter photodegradation research and prospected future research directions. We emphasized the needs for in-depth exploration of photodegradation pathways and intrinsic mechanisms, quantification of its interactive effects with environmental factors, and optimization of traditional carbon turnover models.

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来源期刊
应用生态学报
应用生态学报 Environmental Science-Ecology
CiteScore
2.50
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0.00%
发文量
11393
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