Sporadic P limitation constrains microbial growth and facilitates SOM accumulation in the stoichiometrically coupled, acclimating microbe–plant–soil model
Sporadic P limitation constrains microbial growth and facilitates SOM accumulation in the stoichiometrically coupled, acclimating microbe–plant–soil model
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在化学计量耦合的适应微生物-植物-土壤模型中，零星的磷限制限制了微生物的生长并促进了 SOM 的积累
DOI：
10.1016/j.soilbio.2021.108489
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发表时间：
2022
影响因子：
9.7
通讯作者：
Sistla, Seeta A.
中科院分区：
文献类型：
--
作者：
Pold, Grace;Kwiatkowski, Bonnie L.;Rastetter, Edward B.;Sistla, Seeta A.
生物量碳（C）、氮（N）和磷（P）的需求限制了生物的生长，是构建生态系统的重要因素。北极苔原栖息地是强烈的营养有限的分解和循环的营养物质被低温减缓。这些元素循环之间的相互作用建模提供了一个机会，探索如何干扰，如气候变化可能会影响这些养分循环的差异。在这里，我们介绍了化学计量耦合驯化微生物-植物-土壤（SCAMPS）模型的C-N-P耦合版本，“SCAMPS-CNP”，和相应的修改后的CN-唯一的模型，“SCAMPS-CN”。我们比较了SCAMPS-CNP和修改后的SCAMPS-CN模型如何预测中度（RCP 6.0）空气变暖情景将影响草丛冻原养分供应和生态系统C储量。与SCAMPS-CN相比，SCAMPS-CNP的特征在于更大的SOM和更小的有机碳储量，以及在变暖下生态系统碳储量的更大减少。这种差异在很大程度上可以归因于CNP模型中较小的微生物生物量，而不是由P获取的直接成本驱动，而是由异步C，N和P的可用性和需求引起的可变资源限制驱动。变暖促进了SCAMPS-CNP中植物和微生物生物量的相对增加，然而，通过增加细胞外酶池和活性来促进，这超过了与其生产相关的代谢成本。虽然微生物群落能够灵活地调整其化学计量，并在两种模型中变得更像细菌（富含N），但由于需要平衡细胞NP比例，其化学计量进一步偏离CNP模型中的目标值。我们的研究结果表明，在这些模型中，资源的季节性和季节性会影响气候变暖条件下生态系统碳储量的预测变化，因此，越来越多的文献表明，在碳循环预测中应考虑化学计量。
Requirements for biomass carbon (C), nitrogen (N), and phosphorus (P) constrain organism growth and are important agents for structuring ecosystems. Arctic tundra habitats are strongly nutrient limited as decomposition and recycling of nutrients are slowed by low temperature. Modeling interactions among these elemental cycles affords an opportunity to explore how disturbances such as climate change might differentially affect these nutrient cycles. Here we introduce a C–N–P-coupled version of the Stoichiometrically Coupled Acclimating Microbe-Plant-Soil (SCAMPS) model, “SCAMPS-CNP”, and a corresponding modified CN-only model, “SCAMPS-CN”. We compared how SCAMPS-CNP and the modified SCAMPS-CN models project a moderate (RCP 6.0) air warming scenario will impact tussock tundra nutrient availability and ecosystem C stocks. SCAMPS-CNP was characterized by larger SOM and smaller organism C stocks compared to SCAMPS-CN, and a greater reduction in ecosystem C stocks under warming. This difference can largely be attributed to a smaller microbial biomass in the CNP model, which, instead of being driven by direct costs of P acquisition, was driven by variable resource limitation due to asynchronous C, N, and P availability and demand. Warming facilitated a greater relative increase in plant and microbial biomass in SCAMPS-CNP, however, facilitated by increased extracellular enzyme pools and activity, which more than offset the metabolic costs associated with their production. Although the microbial community was able to flexibly adapt its stoichiometry and become more bacteria-like (N-rich) in both models, its stoichiometry deviated further from its target value in the CNP model because of the need to balance cellular NP ratio. Our results indicate that seasonality and asynchrony in resources affect predicted changes in ecosystem C storage under warming in these models, and therefore build on a growing body of literature indicating stoichiometry should be considered in carbon cycling projections.
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影响因子：
9.4
作者：
S. Jonasson;F. S. Stuart Chapin
通讯作者：
F. S. Stuart Chapin
DOI：
10.1016/j.envsoft.2018.03.021
发表时间：
2018-12
期刊：
Environ. Model. Softw.
影响因子：
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影响因子：
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作者：
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通讯作者：
W. Wieder;B. Sulman;M. Hartman;C. Koven;M. Bradford
影响因子：
4
作者：
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Liptzin, Daniel
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DOI：
--
发表时间：
2016
期刊：
影响因子：
--
作者：
笹 公和;高橋 努;松中 哲也;松村 万寿美;坂口 綾;佐藤 志彦;本多 真紀;富田 涼平;細谷 青児;末木 啓介
通讯作者：
末木 啓介