中国干旱半干旱区土壤CO2与CH4通量的耦联解耦及其对温度的响应
*同等贡献 (Yang M, yangmeng@igsnrr.ac.cn; Yu GR, yugr@igsnrr.ac.cn)
收稿日期: 2021-11-01
录用日期: 2022-03-11
网络出版日期: 2022-04-22
基金资助
国家自然科学基金(31800406);国家自然科学基金(41991234)
Coupling-decoupling of soil CO2 and CH4 fluxes and their responses to temperature in arid and semi-arid regions of China
*Contributed equally to this work (Yang M, yangmeng@igsnrr.ac.cn; Yu GR, yugr@igsnrr.ac.cn)
Received date: 2021-11-01
Accepted date: 2022-03-11
Online published: 2022-04-22
Supported by
National Natural Science Foundation of China(31800406);National Natural Science Foundation of China(41991234)
干旱半干旱区是一类典型的生态脆弱区, 同时又对全球变暖具有重要影响。其土壤以氧化型土壤为主, 被认为是重要的CH4汇, 然而研究发现随着土壤吸收CH4速率的升高, 排放CO2的速率也升高。为验证该消长现象是否广泛存在以及是否发生于特定环境条件下, 该研究基于中国干旱半干旱地区的土壤温室气体通量与相关环境数据整合, 首次开展了多站点的土壤CO2与土壤CH4通量季节变化耦联与日变化耦联分析。结果显示, 土壤CO2与土壤CH4通量间存在协同(正相关)、消长(负相关)及随机(不相关) 3种模式, 其中随机变化的比例更高, 季节尺度与日尺度上分别占比83%与54%。相对于水分和植被状况, 温度与通量间相关性的关系更强, 呈现为随气温升高通量间相关性下降的二次函数关系。季节尺度上, 采样期间平均气温对通量间相关关系的判别准确率为92%, 通量间耦联解耦的气温阈值为12.5 ℃; 日尺度上, 日气温差对通量间相关关系的判别准确率为79%, 通量间耦联解耦的温度阈值为15.2 ℃。此外, 日尺度上土壤为吸收CH4状态时, 土壤CH4与土壤CO2通量之间并非呈现为负相关关系, 而更多呈现为正相关关系, 这一现象难以仅用温度进行解释, 我们推测土壤呼吸和CH4氧化在竞争O2过程中形成了不对等的耦联关系, 即土壤呼吸可通过消耗O2抑制CH4氧化, 从而出现土壤CO2排放增加而CH4吸收降低的现象。该研究表明, 土壤CO2和CH4通量间可能存在温度调控嵌套O2竞争调控的耦联解耦机制, 气候变暖可能导致两种通量在更广的空间上以及更长的时间上发生解耦, 增加区域碳循环的复杂性以及碳通量评估的不确定性。
杨萌, 于贵瑞 . 中国干旱半干旱区土壤CO2与CH4通量的耦联解耦及其对温度的响应[J]. 植物生态学报, 2022 , 46(12) : 1497 -1507 . DOI: 10.17521/cjpe.2021.0390
Aims Arid and semi-arid regions are typical ecologically fragile areas, and they also have an important impact on global warming. Those regions are considered to be important CH4 sinks since most soils are under aerobic conditions. Studies have found that along with the increase of CH4 uptake velocity, the rate of CO2 emissions also has increased. This study was carried out to examine whether there is an offset phenomenon and under what environmental conditions it occurs.
Methods Based on the integration of soil greenhouse gas fluxes and relevant environmental data in arid and semi-arid regions of China, correlations between soil CO2 and soil CH4 fluxes, on seasonal and daily scales, were analyzed.
Important findings The results showed that there were three levels of soil CO2 and soil CH4 flux, i.e., synergy (positively correlated), offset (negatively correlated), and random (not correlated). Among which, the proportion of random relationships was the highest, on seasonal and daily scales 83% and 54%, respectively. Compared to water content and vegetation conditions, air temperature correlated with the correlations between the two fluxes more strongly, showing a quadratic relationship (the absolute values of correlation coefficients between fluxes decreased with increasing temperature). On a seasonal scale, the mean air temperature during the sampling period determined the correlations between the fluxes with an accuracy of 92%, and the air temperature threshold of flux coupling-decoupling was 12.5 °C. On the daily scale, the diurnal air temperature difference determined fluxes relationships with an accuracy of 79% and the temperature threshold of flux coupling-decoupling was 15.2 °C. In addition, when the soil was in the state of absorbing CH4 on a daily scale, the relationship between soil CH4fluxand soil CO2flux was positive in more cases. This phenomenon was difficult to explain by temperature alone. We speculate that a one-way coupling relationship between soil respiration and CH4 oxidation formed through O2 competition, that is, soil respiration would inhibit the CH4 oxidation by consuming O2, resulting in an increase in soil CO2 emissions and a decrease in CH4 absorption. The study suggests that coupling-decoupling of soil CO2 and CH4 fluxes might be driven by a mechanism of temperature regulation linked with oxygen competition regulation. Climate warming may cause decoupling of the two fluxes across space and time and increase the complexity of carbon cycles, thereby increasing the uncertainty of regional carbon flux estimations.
[1] | Chen J, Luo Y, Xia J, Shi Z, Jiang L, Niu S, Zhou X, Cao J (2016). Differential responses of ecosystem respiration components to experimental warming in a meadow grassland on the Tibetan Plateau. Agricultural and Forest Meteorology, 220, 21-29. |
[2] | Cherkinsky A, Brecheisen Z, Richter D (2018). Carbon and oxygen isotope composition in soil carbon dioxide and free oxygen within deep ultisols at the Calhoun CZO, south Carolina, USA. Radiocarbon, 60, 1357-1366. |
[3] | Dang XS, Cheng SL, Fang HJ, Yu GR, Han SJ, Zhang JH, Wang M, Wang YS, Xu MJ, Li LS, Wang L (2015). The controlling factors and coupling of soil CO2, CH4 and N2O fluxes in a temperate needle-broadleaved mixed forest. Acta Ecologica Sinica, 35, 6530-6540. |
[3] | [ 党旭升, 程淑兰, 方华军, 于贵瑞, 韩士杰, 张军辉, 王淼, 王永生, 徐敏杰, 李林森, 王磊 (2015). 温带针阔混交林土壤碳氮气体通量的主控因子与耦合关系. 生态学报, 35, 6530-6540.] |
[4] | Dong JW, Yang JL (2018). The temporally smoothed GIMMS NDVI dataset (8 km, 15-day) from 1982-2015. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences. [2021-07-10]. DOI: 10.12237/casearth.5c19a5660600cf2a3c557ad2. |
[4] | [ 董金玮, 杨吉林 (2018). 1982-2015年全球8 km GIMMS平滑NDVI数据集. 中国科学院地理科学与资源研究所. [2021-07-10]. DOI: 10.12237/casearth.5c19a5660600cf2a3c557ad2.] |
[5] | Dong YS, Qi YC, Liu JY, Geng YB, Domroes M, Yang XH, Liu LX (2005). Variation characteristics of soil respiration flux in four grassland communities with different precipitation intensities. Chinese Science Bulletin, 50, 473-480. |
[5] | [ 董云社, 齐玉春, 刘纪远, 耿元波, Domroes M, 杨小红, 刘立新 (2005). 不同降水强度4种草地群落土壤呼吸通量变化特征. 科学通报, 50, 473-480.] |
[6] | Fang HJ, Cheng SL, Yu GR, Wang YS, Xu MJ, Dang XS, Li LS, Wang L (2014). Microbial mechanisms responsible for the effects of atmospheric nitrogen deposition on methane uptake and nitrous oxide emission in forest soils: a review. Acta Ecologica Sinica, 34, 4799-4806. |
[6] | [ 方华军, 程淑兰, 于贵瑞, 王永生, 徐敏杰, 党旭升, 李林森, 王磊 (2014). 大气氮沉降对森林土壤甲烷吸收和氧化亚氮排放的影响及其微生物学机制. 生态学报, 34, 4799-4806.] |
[7] | Fang HJ, Yu GR, Cheng SL, Zhu TH, Wang YS, Yan JH, Wang M, Cao M, Zhou M (2010). Effects of multiple environmental factors on CO2 emission and CH4 uptake from old-growth forest soils. Biogeosciences, 7, 395-407. |
[8] | Feng W, Zhang YQ, Jia X, Wu B, Zha TS, Qin SG, Wang B, Shao CX, Liu JB, Fa KY (2014). Impact of environmental factors and biological soil crust types on soil respiration in a desert ecosystem. PLOS ONE, 9, e102954. DOI: 10.1371/journal.pone.0102954. |
[9] | Gampe D, Zscheischler J, Reichstein M, O?Sullivan M, Smith WK, Sitch S, Buermann W (2021). Increasing impact of warm droughts on northern ecosystem productivity over recent decades. Nature Climate Change, 11, 772-779. |
[10] | Gaur MK, Squires VR (2018). Geographic extent and characteristics of the world’s arid zones and their peoples// Gaur MK, Squires VR. Climate Variability Impacts on Land Use and Livelihoods in Drylands. Springer, Cham, Switzerland. 3-20. |
[11] | Ginting D, Kessavalou A, Eghball B, Doran JW (2003). Greenhouse gas emissions and soil indicators four years after manure and compost applications. Journal of Environmental Quality, 32, 23-32. |
[12] | Hu A, Nie YX, Yu GR, Han CH, He JH, He NP, Liu SR, Deng J, Shen WJ, Zhang GX (2019). Diurnal temperature variation and plants drive latitudinal patterns in seasonal dynamics of soil microbial community. Frontiers in Microbiology, 10, 674. DOI: 10.3389/fmicb.2019.00674. |
[13] | Huang J, Guan X, Ji F (2012). Enhanced cold-season warming in semi-arid regions. Atmospheric Chemistry and Physics, 12, 5391-5398. |
[14] | Huang JP, Ma JR, Guan XD, Li Y, He YL (2019). Progress in semi-arid climate change studies in China. Advances in Atmospheric Sciences, 36, 922-937. |
[15] | IPCC (2021). Summary for policymakers//Masson-Delmotte VP, Pirani ZA, Connors SL, Péan C, Berger S, Caud N, Chen Y, Goldfarb L, Gomis MI, Huang M, Leitzell K, Lonnoy E, Matthews JBR, Maycock TK, Waterfield T, et al. Climate Change 2021: the Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK. |
[16] | Jeong SH, Eom JY, Park JY, Lee JH, Lee JS (2018). Characteristics of accumulated soil carbon and soil respiration in temperate deciduous forest and alpine pastureland. Journal of Ecology and Environment, 42, 3. DOI: 10.1186/s41610-018-0063-6. |
[17] | Larionova AA, Yevdokimov IV, Bykhovets SS (2007). Temperature response of soil respiration is dependent on concentration of readily decomposable C. Biogeosciences, 4, 1073-1081. |
[18] | Maier M, Cordes M, Osterholt L (2021). Soil respiration and CH4 consumption covary on the plot scale. Geoderma, 382, 114702. DOI: 10.1016/j.geoderma.2020.114702. |
[19] | Maier M, Paulus S, Nicolai C, Stutz KP, Nauer PA (2017). Drivers of plot-scale variability of CH4 consumption in a well-aerated pine forest soil. Forests, 8, 193. DOI: 10.3390/f8060193. |
[20] | Qin Z, Deng X, Griscom B, Huang Y, Li T, Smith P, Yuan W, Zhang W (2021). Natural climate solutions for China: the last mile to carbon neutrality. Advances in Atmospheric Sciences, 38, 889-895. |
[21] | Reddy KR, DeLaune RD (2008). Biogeochemistry of Wetlands: Science and Applications. CRC Press, Boca Raton, USA. 185. |
[22] | Ruehr NK, Knohl A, Buchmann N (2010). Environmental variables controlling soil respiration on diurnal, seasonal and annual time-scales in a mixed mountain forest in Switzerland. Biogeochemistry, 98, 153-170. |
[23] | Sha L, Teramoto M, Noh NJ, Hashimoto S, Yang M, Sanwangsri M, Liang N (2021). Soil carbon flux research in the Asian region: review and future perspectives. Journal of Agricultural Meteorology, 77, 24-51. |
[24] | Tang XL, Zhao X, Bai YF, Tang ZY, Wang WT, Zhao YC, Wan HW, Xie ZQ, Shi XZ, Wu BF, Wang GX, Yan JH, Ma KP, Du S, Li SG, et al. (2018). Carbon pools in China’s terrestrial ecosystems: new estimates based on an intensive field survey. Proceedings of the National Academy of Sciences of the United States of America, 115, 4021-4026. |
[25] | van Bodegom P, Stams F, Mollema L, Boeke S, Leffelaar P (2001). Methane oxidation and the competition for oxygen in the rice rhizosphere. Applied and Environmental Microbiology, 67, 3586-3597. |
[26] | van den Pol-van Dasselaar A, van Beusichem ML, Oenema O (1998). Effects of soil moisture content and temperature on methane uptake by grasslands on sandy soils. Plant and Soil, 204, 213-222. |
[27] | Wang YF, Chen H, Zhu QA, Peng CH, Wu N, Yang G, Zhu D, Tian JQ, Tian LX, Kang XM, He YX, Gao YH, Zhao XQ (2014). Soil methane uptake by grasslands and forests in China. Soil Biology & Biochemistry, 74, 70-81. |
[28] | Wood TE, Detto M, Silver WL (2013). Sensitivity of soil respiration to variability in soil moisture and temperature in a humid tropical forest. PLOS ONE, 8, e80965. DOI: 10.1371/journal.pone.0080965. |
[29] | Wu JG, Zhou QF (2016). Soil CO2, CH4 and N2O fluxes from alpine meadows on the plateau of southern Qinghai Province during snow cover period and growing seasons. Environmental Science, 37, 2914-2923. |
[29] | [ 吴建国, 周巧富 (2016). 青海南部高原积雪期与生长季高寒草甸土壤CO2、CH4和N2O通量的观测. 环境科学, 37, 2914-2923.] |
[30] | Wu X, Yao Z, Brüeggemann N, Shen ZY, Wolf B, Dannenmann M, Zheng X, Butterbach-Bahl K (2010). Effects of soil moisture and temperature on CO2 and CH4 soil-atmosphere exchange of various land use/cover types in a semi-arid grassland in Inner Mongolia, China. Soil Biology & Biochemistry, 42, 773-787. |
[31] | Yang K, He J (2019). China meteorological forcing dataset (1979-2018). National Tibetan Plateau Data Center. [2021-07-10]. DOI: 10.11888/AtmosphericPhysics.tpe.249369.file. |
[32] | Yang M, Yu GR, He NP, Grace J, Wang QF, Zhou Y (2019). A method for estimating annual cumulative soil/ecosystem respiration and CH4 flux from sporadic data collected using the chamber method. Atmosphere, 10, 623. DOI: 10.3390/atmos10100623. |
[33] | Yu GR, Gao Y, Wang QF, Liu SR, Shen WJ (2013). Discussion on the key processes of carbon-nitrogen-water coupling cycles and biological regulation mechanisms in terrestrial ecosystem. Chinese Journal of Eco-Agriculture, 21, 1-13. |
[33] | [ 于贵瑞, 高扬, 王秋凤, 刘世荣, 申卫军 (2013). 陆地生态系统碳氮水循环的关键耦合过程及其生物调控机制探讨. 中国生态农业学报, 21, 1-13.] |
[34] | Yu GR, Li XR, Zhao N, He NP, Wang QF (2014). Theoretical linkage betwenn ecological stoichiometry with the coupled cycle of carbon, nitrogen and water in terrestrial ecosystems. Quaternary Sciences, 34, 881-890. |
[34] | [ 于贵瑞, 李轩然, 赵宁, 何念鹏, 王秋凤 (2014). 生态化学计量学在陆地生态系统碳-氮-水耦合循环理论体系中作用初探. 第四纪研究, 34, 881-890.] |
[35] | Yu LJ, Huang Y, Zhang W, Li TT, Sun WJ (2017). Methane uptake in global forest and grassland soils from 1981 to 2010. Science of the Total Environment, 607-608, 1163-1172. |
[36] | Zhang LH, Huo YW, Guo DF, Wang QB, Bao Y, Li LH (2014). Effects of multi-nutrient additions on GHG fluxes in a temperate grassland of northern China. Ecosystems, 17, 657-672. |
[37] | Zheng D (2015). General Introduction to Chinese Physical Geography. Science Press, Beijing. 76. |
[37] | [ 郑度 (2015). 中国自然地理总论. 科学出版社, 北京. 76.] |
[38] | Zhou P, Liu GB, Xue S (2009). Review of soil respiration and the impact factors on grassland ecosystem. Acta Prataculturae Sinica, 18, 184-193. |
[38] | [ 周萍, 刘国彬, 薛萐 (2009). 草地生态系统土壤呼吸及其影响因素研究进展. 草业学报, 18, 184-193.] |
[39] | Zhu D, Wu N, Bhattarai N, Oli KP, Chen H, Rawat GS, Rashid I, Dhakal M, Joshi S, Tian J, Zhu Q, Chaudhary S, Tshering K (2021). Methane emissions respond to soil temperature in convergent patterns but divergent sensitivities across wetlands along altitude. Global Change Biology, 27, 941-955. |
/
〈 |
|
〉 |