溪流中叶片分解对温度的依赖性因生物群体和叶片种类而异。

IF 4.4 2区 环境科学与生态学 Q1 ECOLOGY Ecology Pub Date : 2024-09-08 DOI:10.1002/ecy.4405
Carolyn S. Cummins, Amy D. Rosemond, Nathan J. Tomczyk, Seth J. Wenger, Phillip M. Bumpers, Vladislav Gulis, Ashley M. Helton, Jonathan P. Benstead
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引用次数: 0

摘要

气温升高正在改变溪流生态系统中有机物(OM)的分解速率,从而对全球变化中的碳(C)循环产生影响。生态学代谢理论(MTE)为预测温度对有机物分解的影响提供了一个框架,但不同生物群体(即微生物与无脊椎食腐动物)和枯落物种类对分解的温度依赖性差异仍未解决。在两年的时间里,我们在美国阿巴拉契亚山脉南部的 20 条上游溪流中进行了 12 次为期 60 天的落叶垃圾袋培养。我们比较了微生物和食腐动物介导的分解之间的温度依赖性(作为活化能,Ea),以及高难分解性(Rhododendron maximum)和相对易分解性(Acer rubrum)叶片物种之间的温度依赖性。对于两个叶片物种,食肉动物介导的分解比微生物分解的 Ea 值高(杜鹃:1.48 > 0.56 eV;金合欢:0.97 > 0.29 eV),对于两个生物组,杜鹃的分解比金合欢的分解 Ea 值高。同样,杜鹃花总分解(粗网)的 Ea 值也高于金合欢总分解的 Ea 值(0.89 > 0.52 eV)。总分解的这些效应很大,这意味着在 12°C(我们的平均温度值)到 16°C(+4°C,反映了气候变化导致的全球地表温度预计升高)之间,杜鹃花和金合欢的质量损失达到 95% 的天数将分别减少 40% 和 26%。尽管 Ea 存在差异,但在大部分温度梯度范围内,微生物的总体分解率高于食腐动物,槭树的总体分解率高于杜鹃花。此外,当真菌生物量作为模型预测因子时,微生物分解数据子集的 Ea 从 0.40 eV 下降到 0.22 eV,这突出表明了真菌在决定垃圾分解的温度依赖性中的关键作用。我们的研究结果表明,随着溪流变暖,枯落叶C在食腐动物介导下的分解速度将比以往研究和MTE预测的更快,特别是对于易腐烂的枯落叶。随着气温的升高,秋季落叶、易腐烂落叶的提前枯竭与难降解落叶的快速分解相结合,可能会加剧季节性资源限制,并改变温带源头溪流网络的碳储存和运输动态。
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Temperature dependence of leaf breakdown in streams differs between organismal groups and leaf species

Increased temperatures are altering rates of organic matter (OM) breakdown in stream ecosystems with implications for carbon (C) cycling in the face of global change. The metabolic theory of ecology (MTE) provides a framework for predicting temperature effects on OM breakdown, but differences in the temperature dependence of breakdown driven by different organismal groups (i.e., microorganisms vs. invertebrate detritivores) and litter species remain unresolved. Over two years, we conducted 12 60-day leaf litterbag incubations in 20 headwater streams in the southern Appalachian Mountains (USA). We compared temperature dependence (as activation energy, Ea) between microbial and detritivore-mediated breakdown, and between a highly recalcitrant (Rhododendron maximum) and a relatively labile (Acer rubrum) leaf species. Detritivore-mediated breakdown had a higher Ea than microbial breakdown for both leaf species (Rhododendron: 1.48 > 0.56 eV; Acer: 0.97 > 0.29 eV), and Rhododendron breakdown had a higher Ea than Acer breakdown for both organismal groups. Similarly, the Ea of total (coarse-mesh) Rhododendron breakdown was higher than the Ea of total Acer breakdown (0.89 > 0.52 eV). These effects for total breakdown were large, implying that the number of days to 95% mass loss would decline by 40% for Rhododendron and 26% for Acer between 12°C (our mean temperature value) and 16°C (+4°C, reflecting projected increases in global surface temperature due to climate change). Despite patterns in Ea, overall breakdown rates were higher for microbes than detritivores, and for Acer than Rhododendron over most of our temperature gradient. Additionally, the Ea for a subset of the microbial breakdown data declined from 0.40 to 0.22 eV when fungal biomass was included as a model predictor, highlighting the key role of fungi in determining the temperature dependence of litter breakdown. Our results imply that, as streams warm, routing of leaf litter C to detritivore-mediated fates will increase faster than predicted by previous studies and MTE, especially for labile litter. As temperatures rise, earlier depletion of autumn-shed, labile leaf litter combined with rapid breakdown rates of recalcitrant litter could exacerbate seasonal resource limitation and alter carbon storage and transport dynamics in temperate headwater stream networks.

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来源期刊
Ecology
Ecology 环境科学-生态学
CiteScore
8.30
自引率
2.10%
发文量
332
审稿时长
3 months
期刊介绍: Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.
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