Decreased snow depth inhibits litter decomposition via changes in litter microbial biomass and enzyme activity

被引:2
作者
Du, Ting [1 ]
Zhang, Li [1 ]
Chen, Yulian [1 ]
Zhang, Yu [1 ]
Zhu, Hemeng [1 ]
Xu, Zhenfeng [1 ]
Tan, Bo [1 ]
You, Chengming [1 ]
Liu, Yang [1 ]
Wang, Lixia [1 ]
Liu, Sining [1 ]
Xu, Hongwei [1 ]
Xu, Lin [1 ]
Li, Han [1 ]
机构
[1] Sichuan Agr Univ, Coll Forestry, Ecol Engn Upper Reaches Yangtze River Key Lab Sich, Chengdu 611130, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Snow; Decomposition; Microbial biomass; Extracellular enzymes; Subalpine forest; FATTY-ACID-COMPOSITION; WINTER CLIMATE-CHANGE; FREEZE-THAW CYCLES; GROWING-SEASON; LEAF-LITTER; COMMUNITY COMPOSITION; BACTERIAL COMMUNITY; EXTRACTION METHOD; SOIL-NITROGEN; FIR FOREST;
D O I
10.1016/j.scitotenv.2024.171078
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Decreased snow depth resulting from global warming has the potential to significantly impact biogeochemical cycles in cold forests. However, the specific mechanisms of how snow reduction affects litter decomposition and the underlying microbial processes remain unclear, this knowledge gap limits our ability to precisely predict ecological processes within cold forest ecosystems under climate change. Hence, a field experiment was conducted in a subalpine forest in southwestern China, involving a gradient of snow reduction levels (control, 50 %, 100 %) to investigate the effects of decreased snow on litter decomposition, as well as microbial biomass and activity, specifically focused on two common species: red birch (Betula albosinensis) and masters larch (Larix mastersiana). After one year of incubation, the decomposition rate (k -value) of the two types of litter ranged from 0.12 to 0.24 across three snow treatments. A significant lower litter mass loss, microbial biomass and enzyme activity were observed under decreased snow depth in winter. Furthermore, a hysteresis inhibitory effect of snow reduction on hydrolase activity was observed in the following growing season. Additionally, the high initial quality (lower C/N ratio) of red birch litter facilitated the colonization by a greater quantity of microorganisms, making it more susceptible to snow reduction compared to the low -quality masters larch litter. Structural equation models indicated that decreased snow depth hindered litter decomposition by altering the biological characterization of litter (e.g., microbial biomass and enzyme activity) and environmental variables (e.g., mean temperature and moisture content). The findings suggest that the potential decline in snow depth could inhibit litter decomposition by reducing microbial biomass and activity, implying that the future climate change may alter the material cycling processes in subalpine forest ecosystems.
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页数:13
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