留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors

CAO Yingqiu XU Li ZHANG Zhen CHEN Zhi HE Nianpeng

CAO Yingqiu, XU Li, ZHANG Zhen, CHEN Zhi, HE Nianpeng. Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors[J]. 中国地理科学, 2019, 29(6): 1001-1010. doi: 10.1007/s11769-019-1084-5
引用本文: CAO Yingqiu, XU Li, ZHANG Zhen, CHEN Zhi, HE Nianpeng. Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors[J]. 中国地理科学, 2019, 29(6): 1001-1010. doi: 10.1007/s11769-019-1084-5
CAO Yingqiu, XU Li, ZHANG Zhen, CHEN Zhi, HE Nianpeng. Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors[J]. Chinese Geographical Science, 2019, 29(6): 1001-1010. doi: 10.1007/s11769-019-1084-5
Citation: CAO Yingqiu, XU Li, ZHANG Zhen, CHEN Zhi, HE Nianpeng. Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors[J]. Chinese Geographical Science, 2019, 29(6): 1001-1010. doi: 10.1007/s11769-019-1084-5

Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors

doi: 10.1007/s11769-019-1084-5
基金项目: 

Under the auspices of National Key R&D Program of China (No. 2016YFA0600104, 2016YFC0500102, 2017YFD0200604), National Natural Science Foundation of China (No. 31770655, 41671045, 31772235)

Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors

Funds: 

Under the auspices of National Key R&D Program of China (No. 2016YFA0600104, 2016YFC0500102, 2017YFD0200604), National Natural Science Foundation of China (No. 31770655, 41671045, 31772235)

  • 摘要: Microbial metabolic quotient (MMQ) is the rate of soil microbial respiration per unit of microbial biomass, and represents the capacity of soil microbes to utilize soil organic matter. Understanding the regional variation and determinants of MMQ can help predict the responses of soil respiration rate to global climate change. Accordingly, we measured and analyzed MMQ-related data (e.g., soil basic respiration rate at 20℃ and soil microbial biomass) from 17 grassland sites, which located in meadow steppe, typical steppe, and desert steppe along a 1000-km transect across the Inner Mongolian grasslands, China. Results showed that MMQ varied significantly among the different grassland types (P < 0.05; desert > typical > meadow) and decreased from southwest to northeast (r=-0.81) with increasing latitude (r=-0.50), and with increasing mean annual precipitation (r=-0.69). Precipitation accounted for 56% of the total variation in MMQ, whereas temperature accounted for 26%. MMQ was negatively correlated with precipitation across the Inner Mongolian grasslands. Therefore, climate change, especially in regard to precipitation, may influence soil microbial respiration and soil carbon dynamics through altering MMQ. These results highlighted the importance of spatial patterns in MMQ for accurately evaluating the responses of soil respiration to climate change at regional and global scales.
  • [1] Aldezabal A, Moragues L, Odriozola I et al., 2015. Impact of grazing abandonment on plant and soil microbial communities in an Atlantic mountain grassland. Applied Soil Ecology, 96:251-260. doi: 10.1016/j.apsoil.2015.08.013
    [2] Anderson J M, 1992. Responses of soils to climate change. Ad-vances in Ecological Research, 22:163-210. doi: 10.1016/S0065-2504(08)60136-1
    [3] Blagodatskaya E, Yuyukina T, Blagodatsky S et al., 2011. Turno-ver of soil organic matter and of microbial biomass under C3-C4 vegetation change:consideration of 13C fractionation and preferential substrate utilization. Soil Biology and Biochemistry, 43(1):159-166. doi: 10.1016/j.soilbio.2010.09.028
    [4] Bogorodskaya A V, Baranchikov Y N, Ivanova G A, 2009. The state of microbial complexes in soils of forest ecosystems after fires and defoliation of stands by gypsy moths. Eurasian Soil Science, 42(3):310-317. doi: 1134/S1064229309030089
    [5] Canarini A, Kiær L P, Dijkstra F A, 2017. Soil carbon loss regu-lated by drought intensity and available substrate:a me-ta-analysis. Soil Biology and Biochemistry, 112(1):90-99. doi: 10.1016/j.soilbio.2017.04.020
    [6] Chen C.R, Condron L M, Davis M R et al., 2004. Effects of plant species on microbial biomass phosphorus and phosphatase ac-tivity in a range of grassland soils. Biology and Fertility of Soils, 40(5):313-322. doi: 10.1007/s00374-004-0781-z
    [7] Chen D M, Mi J, Chu P F et al., 2015. Patterns and drivers of soil microbial communities along a precipitation gradient on the Mongolian Plateau. Landscape Ecology, 30(9):1669-1682. doi: 10.1007/s10980-014-9996-z
    [8] Chen G C, Gan L, Wang S L et al., 2001. A comparative study on the microbiological, characteristics of soils under different, land-use conditions from Karst Areas of Southwest China. Chinese Journal of Geochemistry, 20(1):52-58. doi: 10.1007/BF03166849
    [9] Donat M G, Alexander L V, Herold N et al., 2016. Temperature and precipitation extremes in century-long gridded observations, reanalyses, and atmospheric model simulations. Journal of Geophysical Research Atmospheres, 121 (19):11174-11189. doi: 10.1002/2016JD025480
    [10] Dijkstra P, Thomas S C, Heinrich P L et al., 2011. Effect of tem-perature on metabolic activity of intact microbial communities:evidence for altered metabolic pathway activity but not for increased maintenance respiration and reduced carbon use effi-ciency. Soil Biology and Biochemistry, 43(10):2023-2031. doi: 10.1016/j.soilbio.2011.05.018
    [11] Fierer N, Schimel J P, 2002. Effects of drying-rewetting frequency on soil carbon and nitrogen transformations. Soil Biology and Biochemistry, 34(6):777-787. doi: 10.1016/S0038-0717(02)00007-X
    [12] Francaviglia R, Renzi G, Ledda L et al., 2017. Organic carbon pools and soil biological fertility are affected by land use in-tensity in Mediterranean ecosystems of Sardinia, Italy. Science of the Total Environment, 599-600:789-796. doi: 10.1016/j.scitotenv.2017.05.021
    [13] Frostegård Å, Bååth E, Tunlio A, 1993. Shifts in the structure of soil microbial communities in limed forests as revealed by phospholipid fatty acid analysis. Soil Biology & Biochemistry, 25(6):723-730. doi: 10.1016/0038-0717(93)90113-P
    [14] He N P, Wang R M, Gao Y et al., 2013. Changes in the tempera-ture sensitivity of SOM decomposition with grassland succes-sion:implications for soil C sequestration. Ecology and Evolution, 3(15):5045-5054. doi: 10.1002/ece3.881
    [15] He Wenbin, 2012. The Impacts of Moving on Compensatoty Growth for Ceratoides Arborescens. Huhhot:Inner Mongolia University. (in Chinese)
    [16] Hu Q, Pan F F, Pan X B et al., 2015. Spatial analysis of climate change in Inner Mongolia during 1961-2012, China. Applied Geography, 60:254-260. doi: 10.1016/j.apgeog.2014.10.009
    [17] Insam H, 1990. Are the soil microbial biomass and basal respira-tion governed by the climatic regime? Soil Biology and Bio-chemistry, 22(4):525-532. doi:10.1016/0038-0717(90) 90189-7
    [18] Jiang Y J, Sun B, Jin C et al., 2013. Soil aggregate stratification of nematodes and microbial communities affects the metabolic quotient in an acid soil. Soil Biology and Biochemistry, 60 (60):1-9. doi: 10.1016/j.soilbio.2013.01.006
    [19] Li Y, Liu Y H, Wang Y L et al., 2014. Interactive effects of soil temperature and moisture on soil N mineralization in a Stipa krylovii grassland in Inner Mongolia, China. Journal of Arid Land, 6(5):571-580. doi: 10.1007/s40333-014-0025-5
    [20] Liu Tao, Zhang Yongxian, Xu Zhenzhu et al., 2012. Effects of short-term warming and increasing precipitation on soil respi-ration of desert steppe of Inner Mongolia. Chinese Journal of Plant Ecology, 36(10):1043-1053. (in Chinese)
    [21] Liu X R, Ren J Q, Li S G et al., 2015. Effects of simulated nitro-gen deposition on soil net nitrogen mineralization in the meadow steppe of Inner Mongolia, China. Plos One, 10 (7):e0134039. doi: 10.10.1371/journal.pone.0134039
    [22] Liu Y, He N P, Zhu J X et al., 2017. Regional variation in the temperature sensitivity of soil organic matter decomposition in China's forests and grasslands. Global Change Biology, 23(8):3393-3402. doi: 10.1111/gcb.13613
    [23] Liu Y, He N P, Wen X F et al., 2018. The optimum temperature of soil microbial respiration:Patterns and controls. Soil Biology and Biochemistry, 121(1):35-42. doi.org/10.1016/j.soilbio. 2018.02.019Get rights and content
    [24] Li X Z, Chen Z Z, 2004. Soil microbial biomass C and N along a climatic transect in the Mongolian steppe. Biology and Fertility of Soils, 39(5):344-351. doi: 10.1007/s00374-004-0720-z
    [25] Nelson D W, Sommers L E, Sparks D L et al., 1996. Total carbon, organic carbon, and organic matter. In:Sparks D L (ed). Methods of Soil Analysis. Madison:Soil Science Society of America, 9:961-1010.
    [26] Powlson D S, Jenkinson D S, 1976. The effects of biocidal treat-ments on metabolism in soil-II. Gamma irradiation, auto-claving, air-drying and fumigation. Soil Biology and Biochem-istry, 8(3):179-188. doi: 10.1016/0038-0717(76)90002-X
    [27] Raiesi F, Beheshti A, 2014. Soil C turnover, microbial biomass and respiration, and enzymatic activities following rangeland conversion to wheat-alfalfa cropping in a semi-arid climate. Environmental Earth Sciences, 72(12):5073-5088. doi: 10.1007/s12665-014-3376-5
    [28] Saggar S, Mcintosh P D, Hedley C B et al., 1999. Changes in soil microbial biomass, metabolic quotient, and organic matter turnover under Hieracium (H. pilosella L.). Biology and Fer-tility of Soils, 30(3):232-238. doi: 10.1007/s003740050613
    [29] Schimel J P, Bennett J, 2004. Nitrogen mineralization:challenges of a changing paradigm. Ecology, 85(3):591-602. doi: 10.1890/03-8002
    [30] Steinweg J M, Dukes J S, Paul E A et al., 2013. Microbial re-sponses to multi-factor climate change:effects on soil enzymes. Frontiers in Microbiology, 4:146. doi: 10.3389/fmicb.2013.00146
    [31] Suseela V, Tharayil N, Xing B S et al., 2014. Warming alters po-tential enzyme activity but precipitation regulates chemical transformations in grass litter exposed to simulated climatic changes. Soil Biology and Biochemistry, 75(1):102-112. doi: 10.1016/j.soilbio.2014.03.022
    [32] Wang G C, Du R, Kong Q X et al., 2004. Experimental study on soil respiration of temperate grassland in China. Chinese Sci-ence Bulletin, 49(6):642-646. doi: 10.1360/03wd0241
    [33] Wang Q, Wang D, Wen X F et al., 2015. Differences in SOM decomposition and temperature sensitivity among soil aggregate size classes in a temperate grasslands. Plos One, 10(2):e0117033. doi: 10.1371/journal.pone.0117033.
    [34] Wang Z L, Li J, Lai C G et al., 2017. Does drought in China show a significant decreasing trend from 1961 to 2009. Science of the Total Environment, 579:314-324. doi:10.1016/j.scitotenv. 2016.11.098
    [35] Wu H, Dannenmann M, Wolf B et al., 2012. Seasonality of soil microbial nitrogen turnover in continental steppe soils of Inner Mongolia. Ecosphere, 3(4):1-18. doi: 0.1890/ES11-00188.1
    [36] Xu X F, Schimel J P, Janssens I A et al., 2017. Global pattern and controls of soil microbial metabolic quotient. Ecological Monographs, 87(3):429-441. doi: 10.1002/ecm.1258
    [37] Xu Z W, Yu G R, Zhang X Y et al., 2015. The variations in soil microbial communities, enzyme activities and their relationships with soil organic matter decomposition along the northern slope of Changbai Mountain. Applied Soil Ecology, 86:19-29. doi: 10.1016/j.apsoil.2014.09.015
    [38] Yan Hui, Cai Zucong, Zhong Wenhui, 2006. PLFA analysis and its applications in the study of soil microbial diversity. Acta Pedologica Sinica, 43(5):851-859. (in Chinese)
    [39] Zhao C C, Miao Y, Yu C D et al., 2016. Soil microbial community composition and respiration along an experimental precipitation gradient in a semiarid steppe. Scientific Reports, 6:24317. doi: 10.1038/srep24317
    [40] Zhao J, Yang J, Shao Y Q, 2007. Microbiological quantitive as-sessment on soil health in a degraded grassland. Journal of Agro-Environment Science, 26(6):2090-2094.
    [41] Zhao L L, Xu J J, Powell Jr A M et al., 2015. Uncertainties of the global-to-regional temperature and precipitation simulations in CMIP5 models for past and future 100 years. Theoretical & Applied Climatology, 122(1):259-270. doi: 10.1007/s00704-014-1293-x
    [42] Zheng J F, Chen J H, Pan G X et al., 2016. Biochar decreased microbial metabolic quotient and shifted community composi-tion four years after a single incorporation in a slightly acid rice paddy from southwest China. Science of the Total Environment, 571:206-217. doi: 10.1016/j.scitotenv.2016.07.135
    [43] Zhou D N, Zhang F P, Duan Z Y et al., 2013. Effects of heavy metal pollution on microbial communities and activities of mining soils in Central Tibet, China. Journal of Food Agricul-ture & Environment, 11(1):676-681.
    [44] Zhou X Q, Chen C R, Wang Y F et al., 2013. Warming and in-creased precipitation have differential effects on soil extracel-lular enzyme activities in a temperate grassland. Science of the Total Environment, 444:552-558. doi:10.1016/j.scitotenv. 2012.12.023
  • [1] Yufei HUANG, Chunyan LU, Yifan LEI, Yue SU, Yanlin SU, Zili WANG.  Spatio-temporal Variations of Temperature and Precipitation During 1951–2019 in Arid and Semiarid Region, China . Chinese Geographical Science, 2022, 32(2): 285-301. doi: 10.1007/s11769-022-1262-8
    [2] HE Binbin, SHENG Yu, CAO Wei, WU Jichun.  Characteristics of Climate Change in Northern Xinjiang in 1961-2017, China . Chinese Geographical Science, 2020, 30(2): 249-265. doi: 10.1007/s11769-020-1104-5
    [3] ZENG Xinhua, SONG Yigang, ZHANG Wanjun, HE Shengbing.  Spatio-temporal Variation of Soil Respiration and Its Driving Factors in Semi-arid Regions of North China . Chinese Geographical Science, 2018, 28(1): 12-24. doi: 10.1007/s11769-017-0899-1
    [4] YU Xiuli, LI Xiujun, XU Linshu, WANG Ming, ZHANG Jitao, JIANG Ming, WANG Guodong.  Diurnal Variation of Soil CO2 Efflux and Its Optimal Measuring Time-window of Temperate Meadow Steppes in Western Songnen Plain, China . Chinese Geographical Science, 2016, 26(4): 518-526. doi: 10.1007/s11769-016-0824-z
    [5] LI Qian, ZHU Qing, ZHENG Jinsen, LIAO Kaihua, YANG Guishan.  Soil Moisture Response to Rainfall in Forestland and Vegetable Plot in Taihu Lake Basin, China . Chinese Geographical Science, 2015, 25(4): 426-437. doi: 10.1007/s11769-014-0715-0
    [6] XIONG Dingpeng, SHI Peili, SUN Yinliang, WU Jianshuang, ZHANG Xianzhou.  Effects of Grazing Exclusion on Plant Productivity and Soil Carbon, Nitrogen Storage in Alpine Meadows in Northern Tibet, China . Chinese Geographical Science, 2014, 0(4): 488-498. doi: 10.1007/s11769-014-0697-y
    [7] WANG Ming, LIU Xingtu, ZHANG Jitao, LI Xiujun, WANG Guodong, LI Xiaoyu, LU Xinrui.  Diurnal and Seasonal Dynamics of Soil Respiration at Temperate Leymus Chinensis Meadow Steppes in Western Songnen Plain, China . Chinese Geographical Science, 2014, 0(3): 287-296. doi: 10.1007/s11769-014-0682-5
    [8] WU Jinkui, DING Yongjian, YE Baisheng, YANG Qiyue, HOU Dianjiong, XUE Liyang.  Stable Isotopes in Precipitation in Xilin River Basin, Northern China and Their Implications . Chinese Geographical Science, 2012, 22(5): 531-540.
    [9] NING Baoying, YANG Xiaomei, CHANG Li.  Changes of Temperature and Precipitation Extremes in Hengduan Mountains, Qinghai-Tibet Plateau in 1961–2008 . Chinese Geographical Science, 2012, 22(4): 422-436.
    [10] JIANG Dejuan LI Zhi WANG Qiuxian.  Trends in temperature and precipitation extremes over Circum-Bohai-Sea region during 1961-2008 . Chinese Geographical Science, 2012, 22(1): 75-87.
    [11] GAO Junqin, OUYANG Hua, LEI Guangchun et al..  Temperature and Soil Moisture Interactively Affect Soil Carbon Mineralization in Zoige Alpine Wetlands . Chinese Geographical Science, 2011, 21(1): 27-35.
    [12] XU Jianhua, CHEN Yaning, JI Minhe, LU Feng.  Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis . Chinese Geographical Science, 2008, 18(4): 331-339. doi: 10.1007/s11769-008-0331-y
    [13] CHEN Liqun, LIU Changming, LI Yanping, WANG Guoqiang.  Impacts of Climatic Factors on Runoff Coefficients in Source Regions of the Huanghe River . Chinese Geographical Science, 2007, 17(1): 47-55. doi: 10.1007/s11769-007-0047-4
    [14] YAN Min-hua, DENG Wei, CHEN Pan-qin.  RECENT TRENDS OF TEMPERATURE AND PRECIPITATION DISTURBED BY LARGE-SCALE RECLAMATION IN THE SANGJIANG PLAIN OF CHINA . Chinese Geographical Science, 2003, 13(4): 317-321.
    [15] 王学全, 高前兆.  THE PRECIPITATION INFILTRATION AND RUNOFF RECHARGING EXPERIMENT OBSERVATION IN THE TAKLIMAKAN DESERT . Chinese Geographical Science, 1999, 9(3): 284-288.
    [16] 方精云, 刘绍辉, 赵坤.  FACTORS AFFECTING SOIL RESPIRATION IN REFERENCE WITH TEMPERATURE'S ROLE IN THE GLOBAL SCALE . Chinese Geographical Science, 1998, 8(3): 246-255.
    [17] 章新平.  VARIATION OF d δ18O/dT IN PRECIPITATION IN THE QINGHAI-XIZANG PLATEAU . Chinese Geographical Science, 1997, 7(4): 328-338.
    [18] 马学慧, 吕宪国.  CARBON CYCLE OF MARSH IN THE SANJIANG PLAIN . Chinese Geographical Science, 1997, 7(2): 175-179.
    [19] 王建, 徐孝彬.  STATISTICAL ANALYSIS OF TEMPERATURES ON BOTH THE UPPER AND LOWER BOUNDARIES OF SUB-ALPINE DARK CONIFER FORESTS IN CHINA . Chinese Geographical Science, 1995, 5(4): 300-315.
    [20] 章新平, 施雅风, 姚檀栋.  RELATION BETWEEN δ18O IN ATMOSPHERIC PRECIPITATION AND TEMPERATURE AND PRECIPITATION . Chinese Geographical Science, 1995, 5(4): 289-299.
  • 加载中
计量
  • 文章访问数:  320
  • HTML全文浏览量:  26
  • PDF下载量:  155
  • 被引次数: 0
出版历程
  • 收稿日期:  2019-03-13
  • 刊出日期:  2019-12-01

Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors

doi: 10.1007/s11769-019-1084-5
    基金项目:

    Under the auspices of National Key R&D Program of China (No. 2016YFA0600104, 2016YFC0500102, 2017YFD0200604), National Natural Science Foundation of China (No. 31770655, 41671045, 31772235)

摘要: Microbial metabolic quotient (MMQ) is the rate of soil microbial respiration per unit of microbial biomass, and represents the capacity of soil microbes to utilize soil organic matter. Understanding the regional variation and determinants of MMQ can help predict the responses of soil respiration rate to global climate change. Accordingly, we measured and analyzed MMQ-related data (e.g., soil basic respiration rate at 20℃ and soil microbial biomass) from 17 grassland sites, which located in meadow steppe, typical steppe, and desert steppe along a 1000-km transect across the Inner Mongolian grasslands, China. Results showed that MMQ varied significantly among the different grassland types (P < 0.05; desert > typical > meadow) and decreased from southwest to northeast (r=-0.81) with increasing latitude (r=-0.50), and with increasing mean annual precipitation (r=-0.69). Precipitation accounted for 56% of the total variation in MMQ, whereas temperature accounted for 26%. MMQ was negatively correlated with precipitation across the Inner Mongolian grasslands. Therefore, climate change, especially in regard to precipitation, may influence soil microbial respiration and soil carbon dynamics through altering MMQ. These results highlighted the importance of spatial patterns in MMQ for accurately evaluating the responses of soil respiration to climate change at regional and global scales.

English Abstract

CAO Yingqiu, XU Li, ZHANG Zhen, CHEN Zhi, HE Nianpeng. Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors[J]. 中国地理科学, 2019, 29(6): 1001-1010. doi: 10.1007/s11769-019-1084-5
引用本文: CAO Yingqiu, XU Li, ZHANG Zhen, CHEN Zhi, HE Nianpeng. Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors[J]. 中国地理科学, 2019, 29(6): 1001-1010. doi: 10.1007/s11769-019-1084-5
CAO Yingqiu, XU Li, ZHANG Zhen, CHEN Zhi, HE Nianpeng. Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors[J]. Chinese Geographical Science, 2019, 29(6): 1001-1010. doi: 10.1007/s11769-019-1084-5
Citation: CAO Yingqiu, XU Li, ZHANG Zhen, CHEN Zhi, HE Nianpeng. Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors[J]. Chinese Geographical Science, 2019, 29(6): 1001-1010. doi: 10.1007/s11769-019-1084-5
参考文献 (44)

目录

    /

    返回文章
    返回