土壤置换法研究土壤基质对微生物碳氮磷的影响

doi:10.3969/j.issn.1000-2006.2017.02.011

国家林草科技领军期刊
中国精品科技期刊
中国高校百佳科技期刊
江苏省新闻出版政府奖期刊奖
RCCSE林学权威期刊（A+）
CSCD核心期刊
Scopus数据库收录期刊
中文核心期刊
SCD核心期刊

作者加群：102861116

微信公众号：南京林业大学学报

高级检索

南京林业大学学报（自然科学版） ›› 2017, Vol. 41 ›› Issue (02): 73-80.doi: 10.3969/j.issn.1000-2006.2017.02.011

土壤置换法研究土壤基质对微生物碳氮磷的影响

赵娟,王兴昌

东北林业大学生态研究中心,黑龙江哈尔滨 150040

出版日期:2017-04-18 发布日期:2017-04-18
基金资助:
收稿日期:2016-03-14 修回日期:2016-08-13
基金项目:“十二五”国家科技支撑计划(2011BAD-37B01); 教育部长江学者和创新团队发展计划(IRT-15R09)
第一作者:赵娟(zhaojuancheer@163.com)。
引文格式:赵娟,王兴昌. 土壤置换法研究土壤基质对微生物碳氮磷的影响[J]. 南京林业大学学报(自然科学版),2017,41(2):73-80.

Effects of substrates on soil microbial carbon, nitrogen and phosphorus based on soil replacement method

ZHAO Juan, WANG Xingchang

Center for Ecological Research, Northeast Forestry University, Harbin 150040,China

Online:2017-04-18 Published:2017-04-18

摘要/Abstract

摘要： 【目的】探索植被演替初期不同土壤基质对微生物碳氮磷含量及其化学计量比的影响。【方法】于2004年采集天然次生林(演替前样地)的A层(淋溶层)、B层(淀积层)和C层(母质层土)土,分别填入30 cm土层厚度的样地,构成A、B和C处理,分别模拟森林皆伐次生演替、无种子库次生演替和原生演替,每种处理4个重复,经过10 a自然演替,比较不同土壤基质间微生物碳氮磷含量及其化学计量比的差异。【结果】① 演替前样地不同土壤基质微生物生物量碳氮磷及其占土壤碳氮磷的比例均呈现出A处理显著高于B、C两个处理(P < 0.05, C处理微生物生物量氮占土壤氮比例除外); 土壤微生物生物量碳氮比(n_Cmic/n_Nmic)为A处理低于B、C处理,土壤微生物生物量碳磷比(n_Cmic/n_Pmic)和微生物生物量氮磷比(n_Nmic/n_Pmic)均为A处理高于B、C处理; ② 演替后样地,不同土壤基质微生物生物量碳氮磷呈现出A处理显著高于B、C两个处理(P < 0.05),其占土壤碳氮磷的比例均呈现出A处理高于B、C两个处理; n_Cmic/n_Nmic为A、B处理低于C处理,n_Cmic/n_Pmic和n_Nmic/n_Pmic均为A处理高于B、C处理; ③ 经过10 a植被演替,A、B、C 3个处理土壤微生物生物量碳氮磷浓度及其占土壤碳氮磷的比例均上升(B处理n_Pmic除外); 3个处理n_Cmic/n_Nmic下降、n_Cmic/n_Pmic和n_Nmic/n_Pmic上升,其中,B、C两个处理的n_Cmic/n_Nmic显著下降(P < 0.05),A、C两个处理的n_Nmic/n_Pmic显著上升(P < 0.05)。【结论】植被演替初期,不同土壤基质理化性质的差异是影响土壤微生物碳氮磷的主要因素。

Abstract: 【Objective】Examine the effects of soil substrates on microbial biomass carbon(n_Cmic)nitrogen(n_Nmic), and phosphorus(n_Pmic)by comparing their values in the early stage of vegetation succession. 【Method】By using the soil displacement experiment performed included three treatments. Treatment A involved replacing the original soil of experimental plots(0-30 cm depth)with the A-horizon soil of an adjacent temperate broadleaved stand, whereas Treatment B involved replacing the soil with B-horizon soil, and treatment C involved replacing the soil with C-horizon soil. The three treatments simulated the secondary succession of clear-cut forests or bare soil without a seed bank or primary succession, respectively, and four replicates were used for each treatment. This study compared the difference of the n_Cmic, n_Nmic, n_Pmic, and their stoichiometry in different soil substrate. 【Result】① In 2004, the n_Cmic, n_Nmic and n_Pmicof treatment A were significantly greater than those of treatments B or C(P < 0.05), and the n_Cmic/n_Nmic ratio of treatment A was lower than those of treatments B or C, whereas the n_Cmic/n_Pmic and n_Nmic/n_Pmic ratios of treatment A were greater than those of treatments B or C. The n_Cmic/n_C_soil(soil carbon), n_Nmic/n_N_soil(soil nitrogen)and n_Pmic/n_P_soil(soil phosphorus)values of treatment A were significantly greater than those of treatments B or C(P < 0.05), except for the n_Nmic/n_N_soil value of treatment C. ② In 2014, the n_Cmic, n_Nmic and n_Pmic of treatment A were significantly greater than those of treatments B or C(P < 0.05), and the n_Cmic/n_Nmic ratio of treatments A and B were lower than that of treatment C, whereas the n_Cmic/n_Pmic and n_Nmic/n_Pmic ratios of treatment A were greater than those of treatments B or C. The n_Cmic/n_C_soil, n_Nmic/n_N_soil, and n_Pmic/n_P_soil values of treatment A were greater than those treatments B or C. ③ After the 10-year succession, the n_Cmic, n_Nmic and n_Pmic of the three treatments increased, except for the n_Pmic of treatment B. The n_Cmic/n_Nmic ratio of the three treatments declined, but the n_Cmic/n_Pmic and n_Nmic/ n_Pmic ratios increased. Among the three treatments, the n_Cmic/n_Nmic ratio of treatments B and C decreased significantly(P < 0.05), whereas the n_Nmic/n_Pmic ratio of treatments A and C increased significantly(P < 0.05). The n_Cmic/n_C_soil, n_Nmic/n_N_soil and n_Pmic/n_P_soil values of three treatments also increased with the succession. 【Condusion】 The physical and chemical properties of the different substrates were the main determinants of the spatial patterns of n_Cmic, n_Nmic, n_Pmic, and their stoichiometry.

中图分类号:

S718.5

赵娟,王兴昌. 土壤置换法研究土壤基质对微生物碳氮磷的影响[J]. 南京林业大学学报（自然科学版）, 2017, 41(02): 73-80.

ZHAO Juan, WANG Xingchang. Effects of substrates on soil microbial carbon, nitrogen and phosphorus based on soil replacement method[J].Journal of Nanjing Forestry University (Natural Science Edition), 2017, 41(02): 73-80.DOI: 10.3969/j.issn.1000-2006.2017.02.011.

参考文献

[1] WARDLE D A, BARDGETT R D, KLIRONOMOS J N, et al. Ecological linkages between aboveground and belowground biota[J]. Science, 2004, 304(5677): 1629-1633. DOI: 10.1126/science.1094875.
[2] LOU Y L, LIANG W J, XU M G, et al. Straw coverage alleviates seasonal variability of the topsoil microbial biomass and activity[J]. Catena, 2011, 86(2): 117-120. DOI: 10.1016/j.catena.2011.03.006.
[3] WILLIAMS M A, RICE C W, OWENSBY C E. Carbon dynamics and microbial activity in tallgrass prairie exposed toelevated CO₂ for 8 years[J]. Plant and Soil, 2000, 227(1): 127-137. DOI: 10.1023/A:1026590001307.
[4] JIANG J P, XIONG Y C, JIANG H M, et al. Soil microbial activity during secondary vegetation succession in semiarid abandoned lands of Loess Plateau[J]. Pedosphere, 2009, 19(6): 735-747. DOI: 10.1016/S1002-0160(09)60169-7.
[5] REIDY B, BOLGER T. Soil carbon stocks in a sitka spruce chronosequence following afforestation[J]. Applied Soil Ecology, 2013, 39(3): 371-381.
[6] CLEVELAND C C, LIPTZIN D. C:N:P stoichiometry in soil: is there a “Redfield ratio” for the microbial biomass?[J]. Biogeochemistry, 2007, 85(3), 235-252. DOI: 10.1007/s10533-007-9132-0.
[7] ZHOU Z H, WANG C K. Soil resources and climate jointly drive variations in microbial biomass carbon and nitrogen in China’s forest ecosystems[J]. Biogeosciences Discussions, 2015, 12(14): 11191-11216. DOI: 10.5194/bgd-12-11191-2015.
[8] XU X F, THORNTON P E, POST W M. A global analysis of soil microbial biomass carbon, nitrogen and phosphorus in terrestrial ecosystems[J]. Global Ecology and Biogeography, 2013, 22(6): 737-749. DOI: 10.1111/geb.12029.
[9] LI R, CHANG R Y. Effects of external nitrogen additions on soil organic carbon dynamics and the mechanism[J]. Chinese Journal of Plant Ecology, 2015,39(10), 1012-1020.
[10] JIA G M, CAO J, WANG C Y, et al. Microbial biomass and nutrients in soil at the different stages of secondary forest succession in Ziwulin, northwest China[J]. Forest Ecology and Management, 2005, 217(1): 117-125. DOI: 10.1016/j.foreco.2005.05.055.
[11] 魏斌. 鄂东南低山丘陵区不同植被演替阶段土壤微生物与土壤养分研究[D]. 北京:北京林业大学, 2009. WEI B. Microbial biomass and nutrients in soil at the different stages of secondary forest succession in southeast of Hubei province[D]. Beijing: Beijing Forestry University, 2009.
[12] 薛萐, 刘国彬, 戴全厚, 等. 黄土丘陵区人工灌木林恢复过程中的土壤微生物生物量演变[J]. 应用生态学报, 2008, 19(3): 517-523. DOI: 10.13287/j.1001-9332.2008.0141. XUE S, LIU G B, DAI Q H, et al. Dynamic changes of soil microbial biomass in the restoration process of shrub plantations in loess hilly area[J]. Chinese Journal of Applied Ecology, 2008, 19(3): 517-523. DOI: 10.13287/j.1001-9332.2008.0141.
[13] WANG C K, HAN Y, CHEN J Q, et al. Seasonality of soil CO₂ efflux in a temperate forest: Biophysical effects of snowpack and spring freeze-thaw cycles[J]. Agricultural and Forest Meteorology, 2013, 177(15): 83-92. DOI: 10.1016/j.agrformet.2013.04.008.
[14] EDWARDS K A, MCCULLOCH J, KERSHAW G P, et al. Soil microbial and nutrient dynamics in a wet Arctic sedge meadow in late winter and early spring[J]. Soil Biology and Biochemistry, 2006, 38(9): 2843-2851. DOI: 10.1016/j.soilbio.2006.04.042.
[15] BROOKES P, POWLSON D, JENKINSON D. Phosphorus in the soil microbial biomass[J]. Soil Biology and Biochemistry, 1984, 16(2): 169-175. DOI:10.1016/0038-0717(84)90108-1.
[16] LU R K. Analytical methods of soil agrochemistry[M]. China Agricultural Science and Technology Press, 1999.
[17] 李灵, 张玉, 王利宝, 等. 不同林地土壤微生物生物量垂直分布及相关性分析[J]. 中南林业科技大学学报, 2007, 27(2): 52-56,60. DOI: 10.14067/j.cnki.1673-923x.2007.02.011. LI L, ZHANG Y, WANG B L, et al. Vertical changes of the soil microbial biomass and the correlation analysis in different forests[J]. Journal of Central South University of Forestry and Technology, 2007, 27(2): 52-56,60.
[18] 赵彤, 闫浩, 蒋跃利, 等. 黄土丘陵区植被类型对土壤微生物量碳氮磷的影响[J]. 生态学报, 2013, 33(18): 5615-5622. DOI: 10.5846 / stxb201304160723. ZHAO T, YAN H, JIANG Y L, et al. Effects of vegetation types on soil microbial biomass C, N, P on the Loess Hilly Area[J]. Acta Ecologica Sinica, 2013, 33(18): 5615-5622.
[19] 立天宇, 康峰峰, 韩海荣, 等. 冀北辽河源自然保护区土壤微生物碳代谢对阔叶林叶凋落物组成的响应[J]. 应用生态学报, 2015, 26(3): 715-722. DOI: 10.13287/j.1001-9332.20150106.010. LI T Y, KANG F F, HAN H R, et al. Responses of soil microbial carbon metabolism to the leaf litter composition in Liaohe River Nature Reserve of northern Hebei Province, China[J].Chinese Journal of Applied Ecology, 2015, 26(3): 715-722. DOI: 10.13287/j.1001-9332.20150106.010.
[20] TAYLOR J P, WILSON B, MILLS M S, et al. Comparison of microbial numbers and enzymatic activities in surface soils and subsoils using various techniques[J]. Soil Biology and Biochemistry, 2002, 34(3): 387-401.
[21] 刘恩科, 梅旭荣, 赵秉强, 等. 长期不同施肥制度对土壤微生物生物量碳、氮、磷的影响[J]. 中国农业大学学报, 2009, 14(3): 63-68. LIU E K, MEI X R, ZHAO B Q, et al. Long-term effects of different fertilizer management on microbial biomass C, N and P in a Fluvo-aquic soil[J]. Journal of China Agricultural University, 2009, 14(3): 63-68.
[22] 吴建国, 艾丽. 祁连山3种典型生态系统土壤微生物活性和生物量碳氮含量[J]. 植物生态学报, 2008, 32(2): 465-476. DOI: 10.3773/j.issn.1005-264x.2008.02.026. WU J G, AI L. Soil microbial activity and biomass C and N content in three typical ecosystems in Qilian Mountains, China[J]. Journal of Plant Ecology, 2008, 32(2): 465-476.
[23] DRENOVSKY R E, STEENWERTH K L, JACKSON L E, et al. Land use and climatic factors structure regional patterns in soil microbial communities[J]. Global Ecology and Biogeography, 2010, 19(1): 27-39. DOI: 10.1111/j.1466-8238.2009.00486.x.
[24] TISCHER A, POTTHAST K, HAMER U. Land-use and soil depth affect resource and microbial stoichiometry in a tropical mountain rainforest region of southern Ecuador[J]. Oecologia, 2014, 175(1): 1-19. DOI: 10.1007/s00442-014-2894-x.
[25] ZECHMEISTER-BOLTENSTERN S, KEIBLINGER K M, MOOSHAMMER M, et al. The application of ecological stoichiometry to plant-microbial-soil organic matter transformations[J]. Ecological Monographs, 2015, 85(2): 133-155. DOI: 10.1890/14-0777.1.
[26] NICOLAS F, NATHALIE F, BRUNO B, et al. An experimental test of the hypothesis of non-homeostatic consumer stoichiometry in a plant litter-microbe system[J]. Ecology Letters, 2013, 16(6): 764-772. DOI: 10.1111/ele.12108.
[27] XU X F, SCHIMEL J P, THORNTON P E, et al. Substrate and environmental controls on microbial assimilation of soil organic carbon: a framework for earth system models[J]. Ecology Letters, 2014, 17(5): 547-555. DOI: 10.1111/ele.12254.

土壤置换法研究土壤基质对微生物碳氮磷的影响

Effects of substrates on soil microbial carbon, nitrogen and phosphorus based on soil replacement method

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

作者

读者

审稿

[1]	武燕, 黄青, 刘讯, 郑睿, 岑佳宝, 丁波, 张运林, 符裕红. 西南喀斯特地区马尾松人工林林龄对土壤理化性质的影响[J]. 南京林业大学学报（自然科学版）, 2024, 48(3): 99-107.
[2]	鲁旭东, 董禹然, 李垚, 毛岭峰. 中国亚热带杉木人工林不同林分发育阶段的群落构建机制[J]. 南京林业大学学报（自然科学版）, 2024, 48(1): 67-73.
[3]	邢冰冰, 李垚, 毛岭峰. 植物功能性状系统发育保守性的类群和地理分异研究——以中国被子植物最大株高为例[J]. 南京林业大学学报（自然科学版）, 2024, 48(1): 59-66.
[4]	萨如拉, 王子瑞, 滑永春, 呼日查, 刘磊, 高明龙, 于晓雨. 基于结构方程模型的大兴安岭北部天然林森林生态系统恢复能力评价研究[J]. 南京林业大学学报（自然科学版）, 2024, 48(1): 196-204.
[5]	路文燕, 董灵波, 田园, 汪莎杉, 曲宣怡, 魏巍, 刘兆刚. 基于树种组成的大兴安岭天然林主要树种树高-胸径曲线研究[J]. 南京林业大学学报（自然科学版）, 2023, 47(4): 157-165.
[6]	宋歌, 韩芳, 许景伟, 杨志军, 穆豪祥, 王志勇, 王哲. 基于LandUSEM模型的山东沿海防护林树种分布适宜性分析[J]. 南京林业大学学报（自然科学版）, 2023, 47(4): 42-50.
[7]	邹朋峻, 关庆伟, 袁在翔, 谷雨晴, 吴茜, 牛莹莹, 陈霞, 金雪梅. 紫金山南麓枫香种群结构与动态特征[J]. 南京林业大学学报（自然科学版）, 2023, 47(3): 157-163.
[8]	孙美佳, 周志勇, 王勇强, 沈颖, 夏威. 有机物添加对山西太岳山油松林土壤呼吸及碳组分的影响[J]. 南京林业大学学报（自然科学版）, 2023, 47(1): 67-75.
[9]	姚楠, 刘广全, 姚顺波, 贾磊, 林颖, 邓元杰, 侯孟阳. 基于坡度视角的黄土高原退耕还林(草)工程碳汇效应分析[J]. 南京林业大学学报（自然科学版）, 2023, 47(1): 180-188.
[10]	王麒淞, 国庆喜. 吉林东部天然次生林下光强衰减的空间分布特征[J]. 南京林业大学学报（自然科学版）, 2023, 47(1): 101-108.
[11]	邹晓明, 王国兵, 葛之葳, 谢友超, 阮宏华, 吴小巧, 杨艳. 林业碳汇提升的主要原理和途径[J]. 南京林业大学学报（自然科学版）, 2022, 46(6): 167-176.
[12]	徐晨, 阮宏华, 吴小巧, 谢友超, 杨艳. 干旱影响森林土壤有机碳周转及积累的研究进展[J]. 南京林业大学学报（自然科学版）, 2022, 46(6): 195-206.
[13]	张瑞婷, 杨金艳, 阮宏华. 树干液流对环境变化响应研究的整合分析[J]. 南京林业大学学报（自然科学版）, 2022, 46(5): 113-120.
[14]	李林珂, 王一诺, 薛潇, 张文, 吴焦焦, 高岚, 谭星, 荣星宇, 段儒蓉, 刘芸. 黄栌光合和呈色特性对重庆阴雨天气的响应[J]. 南京林业大学学报（自然科学版）, 2022, 46(5): 95-103.
[15]	夏捷, 陈胜, 吴一凡, 张玮, 谢锦忠. 种植竹荪后毛竹林土壤微生物生物量和微生物熵的动态变化[J]. 南京林业大学学报（自然科学版）, 2022, 46(4): 127-134.