不同植茶年限土壤-微生物生物量碳氮磷化学计量特征

doi:10.13287/j.1001-9332.202304.015

应用生态学报 ›› 2023, Vol. 34 ›› Issue (4): 969-976.doi: 10.13287/j.1001-9332.202304.015

不同植茶年限土壤-微生物生物量碳氮磷化学计量特征

张冠华^1,2*, 牛俊^1,2, 易亮³, 孙宝洋^1,2, 李建明^1,2, 肖海⁴

¹长江科学院水土保持研究所, 武汉 430010;
²水利部山洪地质灾害防治工程技术研究中心, 武汉 430010;
³中南安全环境技术研究院股份有限公司, 武汉 430071;
⁴三峡大学土木与建筑学院, 湖北宜昌 443002

收稿日期:2022-09-22 接受日期:2023-02-14 出版日期:2023-04-15 发布日期:2023-10-15
通讯作者: *E-mail: zgh83113@126.com
作者简介:张冠华, 女, 1983年生, 博士, 正高级工程师。主要从事水土保持及其环境效应研究。E-mail: zgh83113@126.com
基金资助:
国家自然科学基金项目(41877082,42107352,41807068)和中央级公益性科研院所基本科研业务费专项资金(CKSF2021487/TB,CKSF2021447/TB)

Ecological stoichiometry of soil and microbial biomass carbon, nitrogen and phosphorus in tea plantations with different ages

ZHANG Guanhua^1,2*, NIU Jun^1,2, YI Liang³, SUN Baoyang^1,2, LI Jianming^1,2, XIAO Hai⁴

¹Soil and Water Conservation Department, Changjiang River Scientific Research Institute, Wuhan 430010, China;
²Research Center on Mountain Torrent & Geologic Disaster Prevention of Ministry of Water Resources, Wuhan 430010, China;
³Central-Southern Safety & Environment Technology Institute Co. Ltd., Wuhan 430071, China;
⁴College of Civil Engineering and Architecture, China Three Gorges University, Yichang 443002, Hubei, China

Received:2022-09-22 Accepted:2023-02-14 Online:2023-04-15 Published:2023-10-15

摘要/Abstract

摘要： 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_imb)和碳磷化学计量不平衡性(C∶P_imb)显著增加,氮磷化学计量不平衡性(N∶P_imb)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_imb、C∶P_imb对qMBN和qMBP的影响较大。

关键词: 植茶年限, 土壤微生物, 微生物熵, 化学计量不平衡性

Abstract: The implementation of ecological engineering projects such as “Green for Grain” causes great changes in the cycling and stoichiometry of soil carbon (C), nitrogen (N), and phosphorus (P), with consequences on soil microbial biomass stoichiometric characteristics. However, the temporal dynamics and coordination of soil-microbial C:N:P stoichiometry are still unclear. In this study, we examined the variations of soil-microbial biomass C, N, and P with the tea plantation ages (<5 a, 5-10 a, 10-20 a, 20-30 a, and >30 a) in a small watershed in the Three Gorges Reservoir Area. We analyzed the relationships between their stoichiometric ratios, microbial entropy (qMBC, qMBN, qMBP), and stoichiometric imbalance (ratios of soil C, N, P stoichiometry to microbial biomass C, N, P stoichiometry). The results showed that with the increases of tea plantation ages, soil and microbial biomass C, N, P contents, soil C:N and C:P significantly increased, while soil N:P declined; the microbial biomass C:P and N:P increased first and then decreased, but microbial biomass C:N did not change. Tea plantation ages significantly affected soil microbial entropy and soil-microbial stoichiometry imbalance (C:N_imb, C:P_imb, N:P_imb). With the increases of tea plantation ages, qMBC first decreased and then increased, while qMBN and qMBP went up in a fluctuating pattern. The C-N stoichiometry imbalance (C:N_imb) and C-P stoichiometry imbalance (C:P_imb) increased significantly, while the N-P stoichiometry imbalance (N:P_imb) showed a fluctuating rise. Results of the redundancy analysis showed that qMBC was positively correlated with soil N:P and microbial biomass C:N:P, but negatively correlated with microbial stoichiometric imbalance and soil C:N, C:P; whereas qMBN and qMBP showed the opposite situation. The microbial biomass C:P was most closely related to qMBC, while C:N_imb and C:P_imb had greater effects on qMBN and qMBP.

Key words: tea plantation age, soil microbe, microbial entropy, stoichiometric imbalance

张冠华, 牛俊, 易亮, 孙宝洋, 李建明, 肖海. 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.

ZHANG Guanhua, NIU Jun, YI Liang, SUN Baoyang, LI Jianming, XIAO Hai. Ecological stoichiometry of soil and microbial biomass carbon, nitrogen and phosphorus in tea plantations with different ages[J]. Chinese Journal of Applied Ecology, 2023, 34(4): 969-976.

参考文献 37

[1]	Zhang JH, Li MX, Xu L, et al. C∶N∶P stoichiometry in terrestrial ecosystems in China. Science of the Total Environment, 2021, 795: 148849
[2]	Cui YX, Fang LC, Guo XB, et al. Ecoenzymatic stoichiometry and microbial nutrient limitation in rhizosphere soil in the arid area of the northern Loess Pla-teau, China. Soil Biology and Biochemistry, 2018, 116: 11-22
[3]	Zhang JY, Ai ZM, Liang CT, et al. How microbes cope with short-term N addition in a Pinus tabuliformis forest-ecological stoichiometry. Geoderma, 2019, 337: 630-640
[4]	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. 植物生态学报, 2016, 40(12): 1257-1266
[5]	周正虎, 王传宽. 帽儿山地区不同土地利用方式下土壤-微生物-矿化碳氮化学计量特征. 生态学报, 2017, 37(7): 2428-2436
[6]	Mooshammer M, Wanek W, Zechmeister-Boltenstern S, et al. Stoichiometric imbalances between terrestrial decomposer communities and their resources: Mechanisms and implications of microbial adaptations to their resources. Frontiers in Microbiology, 2014, 5: 1-10
[7]	Zhong ZK, Zhang XY, Wang X, et al. Soil bacteria and fungi respond differently to plant diversity and plant family composition during the secondary succession of abandoned farmland on the Loess Plateau, China. Plant and Soil, 2020, 448: 183-200
[8]	Shao PS, Liang C, Rubert-Nason K, et al. Secondary successional forests undergo tightly-coupled changes in soil microbial community structure and soil organic matter. Soil Biology and Biochemistry, 2019, 128: 56-65
[9]	Zhang W, Qiao WJ, Gao DX, et al. Relationship between soil nutrient properties and biological activities along a restoration chrono sequence of Pinus tabulaeformis plantation forests in the Ziwuling Mountains, China. Catena, 2018, 161: 85-95
[10]	曹润, 王邵军, 陈闽昆, 等. 西双版纳热带森林不同恢复阶段土壤微生物生物量碳的变化. 生态环境学报, 2019, 28(10): 1982-1990
[11]	Jia GM, Cao J, Wang C, et al. Microbial biomass and nutrients in soil at the different stages of secondary forest succession in Ziwuling, Northwest China. Forest Ecology and Management, 2005, 217: 117-125
[12]	魏媛, 张金池, 俞元春, 等. 退化喀斯特植被恢复过程中土壤微生物活性的季节动态——以贵州花江喀斯特峡谷地区为例. 新疆农业大学学报, 2009, 32(6): 1-7
[13]	陈璟, 杨宁. 衡阳紫色土丘陵坡地自然恢复过程中微生物量碳动态变化. 生态环境学报, 2012, 21(10): 1670-1673
[14]	胡宗达, 刘世荣, 刘兴良, 等. 川西亚高山天然次生林不同演替阶段土壤-微生物生物量及其化学计量特征. 生态学报, 2021, 41(12): 4900-4912
[15]	蒋光毅, 黄嵩, 郭宏忠. 三峡库区水土流失综合治理现状与展望. 中国水土保持, 2021(8): 27-29
[16]	潘磊, 唐万鹏, 肖文发, 等. 三峡库区不同退耕还林模式林地水文效应. 水土保持通报, 2012, 32(5): 103-106
[17]	李玮, 郑子成, 李廷轩. 不同植茶年限土壤团聚体碳氮磷生态化学计量学特征. 应用生态学报, 2015, 26(1): 9-16
[18]	姚泽秀, 李永春, 李永夫, 等. 植茶年限对土壤微生物群落结构及多样性的影响. 应用生态学报, 2020, 31(8): 2749-2758
[19]	黑杰, 金强, 杨文文, 等. 福州市不同种植年限茉莉花园土壤碳、氮、磷及生态化学计量比特征. 水土保持学报, 2020, 57(4): 288-296
[20]	王晟强, 张喆, 叶绍明. 桂南茶园土壤团聚体酶活性对植茶年限的响应. 生态学报, 2020, 40(18): 6532-6541
[21]	李梦菡, 张丽平, 李鑫, 等. 茶园土壤微生物量碳的质量分数及其影响因素的研究. 中国土壤与肥料, 2021(1): 26-33
[22]	张冠华, 易亮, 孙宝洋, 等. 亚热带苔藓结皮对土壤-微生物-胞外酶化学计量特征的影响. 应用生态学报, 2022, 33(7): 1791-1800
[23]	Brookes PC, Landman A, Pruden G, et al. Chloroform fumigation and the release of soil nitrogen: A rapid direct extraction method to measure microbial biomass nitrogen in soil. Soil Biology and Biochemistry, 1985, 17: 837-842
[24]	Vance ED, Brookes PC, Jenkinson DS. An extraction method for measuring soil microbial biomass C. Soil Biology and Biochemistry, 1987, 19: 703-707
[25]	Joergensen RG. The fumigation-extraction method to estimate soil microbial biomass: Calibration of the kEC value. Soil Biology and Biochemistry, 1996, 28: 33-37
[26]	赵杏, 钟一铭, 杨京平, 等. 不同植茶年限土壤碳氮养分及胞外酶对干旱胁迫的响应. 生态学报, 2017, 37(2): 387-394
[27]	Han WY, Kemmitt SJ, Brookes PC. Soil microbial biomass and activity in Chinese tea gardens of varying stand age and productivity. Soil Biology and Biochemistry, 2007, 39: 1468-1478
[28]	贺婧, 魏琪琪, 钟艳. 贺兰山东麓不同种植年限葡萄地土壤生态化学计量特征. 干旱地区农业研究, 2020, 38(5): 23-30
[29]	Wang SQ, Li TX, Zheng ZC, et al. Soil organic carbon and nutrients associated with aggregate fractions in a chronosequence of tea plantations. Ecological Indicators, 2019, 101: 444-452
[30]	淑敏, 姜涛, 王东丽, 等. 科尔沁沙地不同林龄樟子松人工林土壤生态化学计量特征. 干旱区研究, 2018, 35(4): 789-795
[31]	胡启武, 聂兰琴, 郑艳明, 等. 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. 生态学报, 2014, 34(9): 2246-2255
[32]	郭其强, 盘金文, 李慧娥, 等. 贵州高原山地马尾松人工林土壤碳、氮、磷生态化学计量特性. 水土保持学报, 2019, 33(4): 293-298
[33]	Li JW, Liu YL, Hai XY, et al. Dynamics of soil microbial C:N:P stoichiometry and its driving mechanisms following natural vegetation restoration after farmland abandonment. Science of the Total Environment, 2019, 693: 133613
[34]	Cleveland CC, Liptzin D. C:N:P stoichiometry in soil: Is there a “Redfield ratio” for the microbial biomass? Biogeochemistry, 2007, 85: 235-252
[35]	吴秀芝, 刘秉儒, 阎欣, 等. 荒漠草地土壤微生物生物量和微生物熵对沙漠化的响应. 应用生态学报, 2019, 30(8): 2691-2698
[36]	Xu X, Schimel JP, Thornton PE, et al. Substrate and environmental controls on microbial assimilation of soil organic carbon: A framework for Earth system models. Ecology Letters, 2014, 17: 547-555
[37]	Zhou ZH, Wang CK. Soil resources and climate jointly drive variations in microbial biomass carbon and nitrogen in China’s forest ecosystems. Biogeosciences, 2015, 12: 6751-6760

不同植茶年限土壤-微生物生物量碳氮磷化学计量特征

Ecological stoichiometry of soil and microbial biomass carbon, nitrogen and phosphorus in tea plantations with different ages

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 37

相关文章 15

编辑推荐

Metrics

本文评价

[1]	洪宣生, 王宗星, 徐清福, 邱勇斌, 成向荣. 杉木+闽楠复层林土壤氮磷组分及微生物性状随林龄变化特征 [J]. 应用生态学报, 2024, 35(3): 622-630.
[2]	杨雪, 曹霞, 白冰, 袁艳娜, 张宁, 谢洋, 武春成. 根施生物炭对设施连作土壤氮素转化及黄瓜幼苗根系氮代谢的影响 [J]. 应用生态学报, 2024, 35(3): 713-720.
[3]	李佳玉, 施秀珍, 李帅军, 王振宇, 王建青, 邹秉章, 王思荣, 黄志群. 杉木人工林和天然次生林林龄对土壤酶活性的影响 [J]. 应用生态学报, 2024, 35(2): 339-346.
[4]	朱雪峰, 孔维栋, 黄懿梅, 肖可青, 罗煜, 安韶山, 梁超. 土壤微生物碳泵概念体系2.0 [J]. 应用生态学报, 2024, 35(1): 102-110.
[5]	杨阳, 王宝荣, 窦艳星, 薛志婧, 孙慧, 王云强, 梁超, 安韶山. 植物源和微生物源土壤有机碳转化与稳定研究进展 [J]. 应用生态学报, 2024, 35(1): 111-123.
[6]	井艳丽, 李旭华, 张袁, 张馨月, 刘美, 冯秋红. 间伐对川西亚高山云杉人工林土壤微生物残体碳积累的影响 [J]. 应用生态学报, 2024, 35(1): 169-176.
[7]	薛志婧, 屈婷婷, 刘春晖, 刘小槺, 王蕊, 王宁, 周正朝, 董治宝. 培养条件下枯落物分解过程中微生物残体对土壤有机碳形成的贡献 [J]. 应用生态学报, 2023, 34(7): 1845-1852.
[8]	庞丹波, 吴梦瑶, 赵娅茹, 杨娟, 董立国, 吴旭东, 陈林, 李学斌, 倪细炉, 李静尧, 梁咏亮. 贺兰山东坡不同海拔土壤微生物群落特征及其影响因素 [J]. 应用生态学报, 2023, 34(7): 1957-1967.
[9]	张晓伟, 杨显贺, 车豪杰, 秦竞, 毕焕改, 艾希珍. 腐熟玉米秸秆对设施土壤环境及黄瓜产量和品质的影响 [J]. 应用生态学报, 2023, 34(5): 1290-1296.
[10]	豆梦珂, 张伟东, 杨庆朋, 陈龙池, 刘晔嘉, 胡亚林. 杉木种植和磷添加对土壤微生物生物量及胞外酶活性的影响 [J]. 应用生态学报, 2023, 34(3): 631-638.
[11]	于波, 秦嗣军, 吕德国. 自然生草制苹果园土壤微生物、酶活性和养分含量对行间草耕翻还田的响应 [J]. 应用生态学报, 2023, 34(1): 145-150.
[12]	阿拉萨, 高广磊, 丁国栋, 张英, 曹红雨, 杜宇佳. 土壤微生物膜生理生态功能研究进展 [J]. 应用生态学报, 2022, 33(7): 1885-1892.
[13]	马鑫茹, 郑旭理, 郑春颖, 胡玉婷, 秦华, 陈俊辉, 徐秋芳, 梁辰飞. 毛竹扩张对常绿阔叶林土壤微生物群落的影响 [J]. 应用生态学报, 2022, 33(4): 1091-1098.
[14]	莫帅豪, 郑粉莉, 冯志珍, 易祎. 典型黑土区侵蚀-沉积对土壤微生物数量空间分布的影响 [J]. 应用生态学报, 2022, 33(3): 685-693.
[15]	王顶, 伊文博, 李欢, 陈林康, 赵平, 龙光强. 玉米间作和施氮对土壤微生物代谢功能多样性的影响 [J]. 应用生态学报, 2022, 33(3): 793-800.