PDF(1305 KB)
Comparative Study on Soil-Microbial Biomass Contents and Its Stoichiometry of Different Vegetation Types
TIANQin, DINGXinhui, FENGXiao, HANHongjiang, GOUChenyang
Chin Agric Sci Bull ›› 2026, Vol. 42 ›› Issue (9) : 40-47.
PDF(1305 KB)
Abbreviation (ISO4): Chin Agric Sci Bull
Editor in chief: Yulong YIN
PDF(1305 KB)
Comparative Study on Soil-Microbial Biomass Contents and Its Stoichiometry of Different Vegetation Types
To reveal the improvement effect of vegetation restoration on soil quality, different vegetation types in Jiufeng National Forest Park were selected as research objects, with abandoned land as the control. The contents of soil-microbe biomass carbon (C), nitrogen (N), and phosphorus (P) were determined, and the relationships among their stoichiometric ratios, microbial entropy (qMB), and stoichiometric imbalance were analyzed. The research results showed that: (1) the contents of soil C, N, and P in the natural mixed forest were significantly higher than those in other vegetation types. In addition, the C:N and C:P ratios in the Pinus tabulaeformis plantation, Platycladus orientalis plantation, and natural mixed forest were significantly higher than those in the Quercus variabilis forest and abandoned land, while the soil N:P ratio showed no significant difference. (2) The overall content of soil microbial biomass was higher in the Pinus tabulaeformis forest, Platycladus orientalis forest, and mixed forest than in the Quercus variabilis forest and abandoned land. (3) The MBC:MBN of the soil in the Pinus tabulaeformis and Platycladus orientalis plantations was significantly higher than that in the abandoned land, but there was no significant difference between the two plantations. The soil MBN:MBP did not reach a significant level, while the MBC:MBP values in the mixed forest and abandoned land were the lowest. (4) The soil microbial entropy in the Pinus tabulaeformis plantation was the largest; among which, the microbial entropy carbon (qMBC) was the lowest in the MF (12.39%). The microbial entropy nitrogen and phosphorus (qMBN, qMBP) were the lowest in the oak forest (12.30%). (5) There was no significant difference in C:Nimb among different vegetation types; the soil-microbe C:Pimb and N:Pimb were the lowest in the oak forest, and the highest in the natural mixed forest. This study found that the natural mixed forest is the optimal model for improving soil fertility. When restoring vegetation, priority should be given to constructing mixed forests of coniferous and broad-leaved trees, and rationally configuring near-natural schemes such as Pinus tabulaeformis and Platycladus orientalis. This study provides new biological evidence and precise practical support for the assessment of urban forest soil quality and the optimization of vegetation restoration strategies, and helps to achieve the connection between theoretical innovation and ecological construction needs.
plantation forest / soil nutrients / soil microbial biomass / ecological stoichiometry / microbial entropy
| [1] |
褚海燕, 王艳芬, 时玉, 等. 土壤微生物生物地理学研究现状与发展态势[J]. 中国科学院院刊, 2017, 32(6):585-592.
|
| [2] |
|
| [3] |
|
| [4] |
王宝荣, 杨佳佳, 安韶山. 黄土丘陵区植被与地形特征对土壤和土壤微生物生物量生态化学计量特征的影响[J]. 应用生态学报, 2018, 29(1):247-259.
研究黄土丘陵区植被与地形特征对土壤和土壤微生物生物量生态化学计量特征影响有助于深入理解黄土丘陵区不同植被带下土壤和土壤微生物相互作用及养分循环规律.选择黄土丘陵区延河流域3个植被区(森林区、森林草原区、草原区)和5种地形部位(阴/阳沟坡、阴/阳梁峁坡、峁顶)的土壤作为研究对象,利用生态化学计量学理论研究植被和地形对土壤和土壤微生物生物量生态化学计量特征的影响.结果表明: 土壤及土壤微生物生物量碳、氮、磷含量在不同地形之间的差别主要表现在沟坡位置和阴坡高于其他坡位和阳坡.植被类型的变化对两个土层(0～10、10～20 cm)土壤和土壤微生物生物量碳、氮、磷的影响均达到显著水平,坡向对表层(0～10 cm)土壤和土壤微生物生物量碳、氮、磷的影响强于坡位,而在10～20 cm土层,坡位对土壤和土壤微生物生物量碳、氮、磷影响更显著.植被类型显著影响土壤C∶N、C∶P、N∶P和土壤微生物生物量C∶N、C∶P,坡向和坡位仅影响土壤C∶P和N∶P,植被类型的变化是影响土壤C∶N的主要因素.同时,植被类型对土壤养分和微生物生物量碳、氮、磷含量及其生态化学计量特征的影响大于地形因子.标准化主轴分析结果表明,黄土丘陵区不同植被带土壤微生物具有内稳性,特别在草原带,土壤微生物生物量生态化学计量学特征具有更加严格的约束比例.在黄土丘陵区,土壤微生物生物量N∶P或许可以作为判断养分限制的另一个有力工具,若将土壤微生物生物量N∶P与植物叶片N∶P配合使用可能有助于我们更加精确地判断黄土丘陵区的土壤养分限制情况.
|
| [5] |
陈婕妮, 石思雨, 钟羡芳, 等. 武夷山不同海拔土壤微生物生物量碳、氮、磷含量及其生态化学计量特征[J]. 生态学杂志, 2023, 42(10):2999-3008.
|
| [6] |
张冠华, 牛俊, 易亮, 等. 不同植茶年限土壤-微生物生物量碳氮磷化学计量特征[J]. 应用生态学报, 2023, 34(4):969-976.
退耕还林(草)等生态建设工程的实施引起土壤碳(C)、氮(N)、磷(P)循环及其化学计量特征发生变化,继而对土壤微生物生物量的化学计量造成潜在影响,然而,土壤-微生物C∶N∶P化学计量的时间动态及协调关系仍不明确。本试验选取三峡库区小流域退耕地——茶园为研究对象,以玉米地为对照,探索土壤-微生物生物量C、N、P随植茶年限(<5 a、5～10 a、10～20 a、20～30 a和>30 a)的变化特征,分析其化学计量比、微生物熵(qMBC、qMBN、qMBP)、化学计量不平衡性(土壤C、N、P计量比与微生物生物量C、N、P计量比的比值)之间的关系。结果表明: 随着植茶年限增加,土壤和微生物生物量C、N、P、土壤C∶N和C∶P均显著升高,而土壤N∶P整体下降,微生物生物量C∶P和N∶P呈先升后降的变化趋势,微生物生物量C∶N变化不显著。此外,茶树种植年限对土壤、微生物间的化学计量不平衡性以及微生物熵均存在显著影响,随着植茶年限增加,qMBC先降低后升高,qMBN和qMBP呈波动上升;碳氮化学计量不平衡性(C∶N<sub>imb</sub>)和碳磷化学计量不平衡性(C∶P<sub>imb</sub>)显著增加,氮磷化学计量不平衡性(N∶P<sub>imb</sub>)呈波动上升。冗余分析显示,qMBC与土壤N∶P和微生物生物量化学计量(C∶N、C∶P、N∶P)两两呈正相关,而与微生物化学计量不平衡性和土壤C∶N、C∶P呈负相关,qMBN和qMBP则相反;微生物生物量C∶P与qMBC关系最密切,C∶N<sub>imb</sub>、C∶P<sub>imb</sub>对qMBN和qMBP的影响较大。
|
| [7] |
贾培龙, 安韶山, 李程程, 等. 黄土高原森林带土壤养分和微生物量及其生态化学计量变化特[J]. 水土保持学报, 2020, 34(1):315-321.
|
| [8] |
于宗恺, 刘小伟, 朵莹, 等. 黄土高原退耕草地演替过程中土壤及微生物碳氮磷化学计量关系时空变化[J]. 中国草地学报, 2023, 45(8):118-128.
|
| [9] |
田琴, 牛春梅, 谷口武士, 等. 黄土丘陵区植被类型与土壤微生物区系及生物量的关系[J]. 生态学报, 2017, 37(20):6847-6854.
|
| [10] |
周正虎, 王传宽. 生态系统演替过程中土壤与微生物碳氮磷化学计量关系的变化[J]. 植物生态学报, 2016, 40(12):1257-1266.
土壤碳(C)、氮(N)、磷(P)化学计量特征会显著影响微生物的生长、群落结构、生物量C:N:P化学计量及其代谢活动。然而生态系统演替过程中土壤-微生物C:N:P化学计量的时间格局及其协调关系还不明确。为此, 该研究收集了2016年5月以前发表的文献中19个生态系统演替序列(包括13个森林、6个草地生态系统)的土壤-微生物生物量C:N:P研究结果, 整合分析了其中土壤-微生物生态化学计量的时间动态, 结果表明: (1)生态系统演替过程中土壤C:N没有一致的时间格局, 而土壤C:P和N:P均随演替进程显著增加, 其中土壤C:N:P与演替时间之间线性关系的斜率与相应演替序列的初始土壤有机C含量呈负相关关系。(2)演替进程中土壤-微生物生物量C:N:P没有一致的时间格局。(3)微生物生物量C占土壤有机C百分比(qMBC)、微生物生物量N占土壤全N百分比、微生物生物量P占土壤全P百分比均随着演替进程而显著增加, 即单位资源所能支持的微生物生物量随着演替进程而增加, 这与宏观生态系统演替理论相符。(4) qMBC随着土壤C:N、C:P和N:P以及C:N、C:P和N:P化学计量不平衡性(即土壤C:N、C:P和N:P分别除以微生物生物量C:N、C:P和N:P)的增加而减小; 其中, C:N、C:P和N:P化学计量不平衡性解释了qMBC变异性的37%-57%, 是演替时间解释率的7-17倍, 表明土壤-微生物生态化学计量关系对qMBC演替动态有重要影响。该研究强调了生态化学计量学理论和生态系统演替理论在土壤微生物时间动态研究中的重要作用, 表明适当地融合生态学宏观理论于土壤微生物研究可以加深对土壤-微生物生态过程的认识。
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
吴秀芝, 秉儒, 阎欣. 荒漠草地土壤微生物生物量和微生物熵对沙漠化的响应[J]. 应用生态学报, 2019, 30(8):2691-2698.
采用空间序列代替时间演替的方法,分析宁夏中北部盐池县荒漠草地不同沙漠化阶段(荒漠草地、固定沙地、半固定沙地和流动沙地)土壤微生物生物量(SMB)和微生物熵(qMB)的变化特征及其影响因子.结果表明: 从荒漠草地到流动沙地,土壤微生物生物量碳、氮、磷分别降低46.1%、80.8%和30.0%.随着荒漠草地沙漠化程度的加剧,土壤微生物熵碳(qMBC)、土壤微生物熵氮(qMBN)、土壤微生物熵磷(qMBP)均表现为荒漠草地>固定沙地>半固定沙地>流动沙地,而土壤-微生物化学计量不平衡性(C∶N<sub>imb</sub>、C∶P<sub>imb</sub>、N∶P<sub>imb</sub>)基本呈增加趋势.土壤微生物生物量氮与C∶N<sub>imb</sub>呈显著正相关,与N∶P<sub>imb</sub>呈显著负相关;土壤微生物生物量磷与C∶P<sub>imb</sub>呈显著正相关.冗余分析(RDA)显示,土壤生态化学计量(C∶N、C∶P)对微生物熵碳的负效应最明显.荒漠草地沙漠化显著影响土壤微生物生物量和微生物熵.
|
| [15] |
胡启武, 聂兰琴, 郑艳明. 沙化程度和林龄对湿地松叶片及林下土壤C,N,P化学计量特征影响[J]. 生态学报, 2014, 34(9):2246-2255.
|
| [16] |
|
| [17] |
范跃新, 杨玉盛, 杨智杰, 等. 中亚热带常绿阔叶林不同演替阶段土壤活性有机碳含量及季节动态[J]. 生态学报, 2013, 33(18):5751-5759.
|
| [18] |
All terrestrial ecosystems consist of aboveground and belowground components that interact to influence community- and ecosystem-level processes and properties. Here we show how these components are closely interlinked at the community level, reinforced by a greater degree of specificity between plants and soil organisms than has been previously supposed. As such, aboveground and belowground communities can be powerful mutual drivers, with both positive and negative feedbacks. A combined aboveground-belowground approach to community and ecosystem ecology is enhancing our understanding of the regulation and functional significance of biodiversity and of the environmental impacts of human-induced global change phenomena.
|
| [19] |
|
| [20] |
|
| [21] |
. Microbial metabolism plays a key role in regulating the biogeochemical cycle of forest ecosystems, but the mechanisms driving microbial growth are not well understood. Here, we synthesized 689 measurements on soil microbial biomass carbon (Cmic) and nitrogen (Nmic) and related parameters from 207 independent studies published up to November 2014 across China's forest ecosystems. Our objectives were to (1) examine patterns in Cmic, Nmic, and microbial quotient (i.e., Cmic / Csoil and Nmic / Nsoil rates) by climate zones and management regimes for these forests; and (2) identify the factors driving the variability in the Cmic, Nmic, and microbial quotient. There was a large variability in Cmic (390.2 mg kg−1), Nmic (60.1 mg kg−1, Cmic : Nmic ratio (8.25), Cmic / Csoil rate (1.92 %), and Nmic / Nsoil rate (3.43 %) across China's forests. The natural forests had significantly greater Cmic (514.1 mg kg−1 vs. 281.8 mg kg−1) and Nmic (82.6 mg kg−1 vs. 39.0 mg kg−1) than the planted forests, but had less Cmic : Nmic ratio (7.3 vs. 9.2) and Cmic / Csoil rate (1.7 % vs. 2.1 %). Soil resources and climate together explained 24.4–40.7 % of these variations. The Cmic : Nmic ratio declined slightly with Csoil : Nsoil ratio, and changed with latitude, mean annual temperature and precipitation, suggesting a plasticity of microbial carbon-nitrogen stoichiometry. The Cmic / Csoil rate decreased with Csoil : Nsoil ratio, whereas the Nmic / Nsoil rate increased with Csoil : Nsoil ratio; the former was influenced more by soil resources than by climate, whereas the latter was influenced more by climate. These results suggest that soil microbial assimilation of carbon and nitrogen are jointly driven by soil resources and climate, but may be regulated by different mechanisms.
|
/
| 〈 |
|
〉 |
