Dynamics of carbon budget and meteorological factors of a typical maize ecosystem in Songnen Plain, China
Abstract
Aim of study: Understanding the carbon budget and meteorological factor impacts of farmland ecosystems is helpful for scientific assessment of carbon budget and low-carbon agricultural production practices.
Area of study: The Songnen Plain, NE China, in 2019.
Material and methods: Based on eddy-related flux and soil heterotrophic respiration observations from a typical maize farmland ecosystem, using mathematical statistics and carbon balance equation methods, were analyzed.
Main results: Soil respiration rate (Rs) and composition were influenced and controlled by the synergistic effect of surface soil temperature (Ts) and water content (Wcs). Ts played a leading role, while Wcs played an important role. Ts and Wcs had the greatest influence on the heterotrophic respiration rate (Rh), followed by Rs and autotrophic respiration rate (Ra). Daily variations of net ecosystem productivity were correlated with daily mean air temperature, latent heat flux, and sensible heat flux. Annual carbon revenue was 1139.67 g C m-2, annual carbon expenditure was 456.14 g C m-2, and annual carbon budget was -683.53 g C m-2 in 2019. While considering that maize grain yield (-353.44 g C m-2) was moved out of the field at harvest, the net ecosystem carbon balance was -330.09 g C m-2; then it was carbon sink in 2019. By fully utilizing climate resources and improving agricultural managements, carbon sink is increased in farmland ecosystems.
Research highlights: Soil respiration rate and composition were influenced and controlled by the synergistic effect of soil temperature and water content; the maize farmland ecosystem is carbon sink.
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References
Baldocchi DD, 2003. Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future. Global Change Biol 9: 479-492. https://doi.org/10.1046/j.1365-2486.2003.00629.x
Baldocchi DD, Falge E, Gu LH, et al., 2001. FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bull Am Meteorol Soc 82(11): 2415-2434. http://dx.doi.org/10.1175/1520-0477(2001)082%3C2415:FANTTS%3E2.3.CO;2
Fan L, Lü CH, Chen Z, 2012. A review of EPIC model and its applications. Progr Geograph 31(5): 584-592.
Fang JY, Guo ZD, Piao SL, et al., 2007. Estimation of terrestrial vegetation carbon sequestration in China from 1981 to 2000. Science in China Series D: Earth Sciences 37(6): 804-812. https://doi.org/10.1007/s11430-007-0049-1
Fu XZ, Wang L, Yang CH, et al., 2018. Effects of different cultivation on soil respiration and enzyme activity of summer maize in oasis region. Bull Soil Water Conserv 38(5): 103-108.
Gaumontguay D, Black TA, Griffis TJ, et al., 2006. Interpreting the dependence of soil respiration on soil temperature and water content in a boreal aspen stand． Agr For Meteorol 140: 220-235. https://doi.org/10.1016/j.agrformet.2006.08.003
Han GX, Zhou GS, Xu ZZ, et al., 2007. Spatial heterogeneity of soil respiration and contribution of root respiration in a maize (Zea mays L.) agricultural field. Acta Ecologica Sinica 27(12): 5254-5261.
Han GX, Zhou GS, Xu ZZ, 2009. Seasonal dynamics of soil respiration and carbon budget of maize (Zea mays L.) farmland ecosystem. Chin J Eco-Agr 17(5): 874-879. https://doi.org/10.3724/SP.J.1011.2009.00874
Hao QJ, Wang YS, Song CC, et al., 2007. CO2 budget in agro-ecosystems in the Sanjiang Plain. J AgroEnviron Sci 26(4): 1556-1560.
He M, Wang YC, Wang LG, et al., 2016. Effect of different tillage managements on carbon dioxide emission and content of activated carbon in black soil. Chin J Soil Sci 47(5): 1195-1202.
Hollinger SE, Carl JB, Tilden PM, 2005. Carbon budget of mature no-till ecosystem in North Central Region of theUnited States. Agr For Meteorol 130: 59-69. https://doi.org/10.1016/j.agrformet.2005.01.005
Hunt JR, Celestina C, Kirkegaard JA, 2020. The realities of climate change, conservation agriculture and soil carbon sequestration. Glob Change Biol 26: 3188-3189. https://doi.org/10.1111/gcb.15082
IPCC, 2014. Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. https://www.globalchange.gov/browse/reports/ipcc-climate-change-2014-mitigation-climate-change
Jiang GF, Liu C, Li JQ, et al, 2014. Soil respiration and driving factors of farmland ecosystems in China. Scientia Sinica Vitae 44(7): 725-735. https://doi.org/10.1360/N052013-00055
Jiang LQ, Zang SY, Zhang LJ, et al, 2017. Temporal and spatial variations of organic carbon and evaluation of carbon sequestration potential in the agricultural topsoil of the Songnen Plain. Acta Ecologica Sinica 37(21): 7068-7081. https://doi.org/10.5846/stxb201609061815
Jobbágy EG, Jackson RB, 2000. The vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecol Appl 10: 423-436. https://doi.org/10.1890/1051-0761(2000)010[0423:TVDOSO]2.0.CO;2
Lal R, 2004. Soil carbon sequestration impacts on global climate change and food security. Science 304: 1623-1627. https://doi.org/10.1126/science.1097396
Lal R, 2020. Managing soils for negative feedback to climate change and positive impact on food and nutritional security. Soil Sci Plant Nutr 66: 1-9. https://doi.org/10.1080/00380768.2020.1718548
Liang T, Li RP, Wu H, et al., 2012. Dynamics of carbon dioxide flux in a maize agro-ecosystem. J Meteorol Environ 28(3): 49-53.
Liu Y, Chen MP, Chen JN, 2015. Progress and perspectives in studies on agro-ecosystem carbon cycle model. T CSAE 31(3): 1-9.
Lloyd J, Taylor JA, 1994. On the temperature dependence of soil respiration. Funct Ecol 8(3): 315-323. https://doi.org/10.2307/2389824
Lü FC, Ma JY, Cao Y, et al., 2022. Carbon fluxes simulation of China′s typical forest ecosystem based on FORCCHN model. Acta Ecol Sinica 42(7): 2810-2821. https://doi.org/10.5846/stxb202102070399
Mao YN, Hu ZH, Peng ZG, et al., 2019. Effects of different nitrogen levels on soil respiration of summer maize. Chin Rural Water Hydropower 4: 42-46.
Micks P, Aber JD, Boone RD, et al., 2004. Short-term soil respiration and nitrogen immobilization response to nitrogen applications in control and nitrogen-enriched temperate forests. For Ecol Manage 196(1): 57-70. https://doi.org/10.1016/j.foreco.2004.03.012
Mielnick PC, William AD, 2000. Soil CO2 flux in a tall grass prairie. Soil Biol Biochem 32: 221-228. https://doi.org/10.1016/S0038-0717(99)00150-9
Montzka SA, Dlugokencky EJ, Butler JH, 2011. Non-CO2 greenhouse gases and climate change. Nature 476(7358): 43-50. https://doi.org/10.1038/nature10322
Oechel WC, Vourlitis GL, Hastings SJ, et al., 2000. Acclimation of ecosystem CO2 exchange in the Alaskan Arctic in response to decadal climate warming. Nature 406: 978-981. https://doi.org/10.1038/35023137
Oldfield EE, Bradford MA, Wood SA, 2019. Global meta-analysis of the relationship between soil organic matter and crop yields. Soil 5: 15-32. https://doi.org/10.5194/soil-5-15-2019
O'Leary MH, 1988. Carbon isotopes in photosynthesis. Bioscience 38(5): 328-336. https://doi.org/10.2307/1310735
Paustian K, Lehmann J, Ogle S, et al., 2016. Climate-smart soils. Nature 532: 49-57. https://doi.org/10.1038/nature17174
Piao SL, He Y, Wang XH, et al., 2022. Estimation of China's terrestrial ecosystem carbon sink: Methods, progress and prospects. Sci Chin Earth Sci 65(4): 641-651. https://doi.org/10.1007/s11430-021-9892-6
Pilli R, Grassi G, Kurz W, et al., 2013. Application of the CBM-CFS3 model to estimate Italy's forest carbon budget,1995-2020. Ecol Model 266(1): 144-171. https://doi.org/10.1016/j.ecolmodel.2013.07.007
Ren W, Banger K, Tao B, et al., 2020. Global pattern and change of cropland soil organic carbon during 1901-2010: roles of climate, atmospheric chemistry, land use and management. Geograph Sustain 1: 59-69. https://doi.org/10.1016/j.geosus.2020.03.001
Smith P, 2013. Delivering food security without increasing pressure on land. Global Food Secur 2(1): 18-23. https://doi.org/10.1016/j.gfs.2012.11.008
Valentini R, Matteucci G, Dolman AJ, et al., 2000. Respiration as the main determinant of carbon balance in European forests. Nature 404: 861-865. https://doi.org/10.1038/35009084
Verma SB, Dobermann A, Cassman KG, et al., 2005. Annual carbon dioxide exchange in irrigated and rainfed maize-based agroecosystems. Agr For Meteorol 131: 77-96. https://doi.org/10.1016/j.agrformet.2005.05.003
Wall AM, Campbell DI, Morcom CP, et al., 2020. Quantifying carbon losses from periodic maize silage cropping of permanent temperate pastures. Agr Ecosyst Environ 301: 107048-107058. https://doi.org/10.1016/j.agee.2020.107048
Wang XY, Zhang ML, 2023. Spatial distribution analysis of carbon budget of Gannan alpine meadow in the past 50 years based on CENTURY model. Ecol Sci 42(2): 211-218.
Wang YH, Wang MY, Shi XZ, et al., 2016. Spatial patterns of net primary productivity of crops in China. Acta Ecol Sinica 36(19): 6318-6327. https://doi.org/10.5846/stxb201411252346
Wang YY, Hu CS, Dong WX, et al., 2022. Carbon neutralization potential and carbon sequestration efforts in a wheat-maize rotation system in the North China Plain. Chin J EcoAgr 30(4): 651-657.
Wu RJ, Wang YC, Zhu P, et al., 2018. Effects of long-term fertilization on soil respiration in spring maize field in the central part of northeast China. J Plant Nutr Fertil 24(1): 44-52.
Yang YH, Shi Y, Sun WJ, et al., 2022. Terrestrial carbon sinks in China and around the world and their contribution to carbon neutrality. Scientia Sinica Vitae 52(4): 534-574. https://doi.org/10.1360/SSV-2021-0362
Yao YT, Li ZJ, Wang T, et al., 2018. A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach. Agr For Meteorol 253-254: 84-93. https://doi.org/10.1016/j.agrformet.2018.02.007
Ye HT, Jiang HM, Li RP, 2022. Study on carbon exchange of a maize agroecosystem during growing seasons in Northeast China. J Maize Sci 30(1): 77-85.
Yu GR, Li WH, Shao MA, et al., 2020. Ecosystem science research and ecosystem management. Acta Geograph Sinica 75(12): 2620-2635.
Zhang L, Jin JZ, Jiang X, et al., 2021. Variations of organic carbon and evaluation of carbon sequestration potential in surface soil in Songnen Plain of Heilongjiang Province from 1986 to 2019. Geoscience 35(4): 914-922.
Zhao H, Zhu SQ, Liu Z, et al., 2021. Evaluation of carbon budget for farmland ecosystem based on the eddy correlation technology. Acta Sci Circumst 41(11): 4731-4739.
Zhao RQ, Qin MZ, 2007. Temporospatial variation of partial carbon source/sink of farmland ecosystem in Coastal China. J Ecol Rural Environ 23(2): 1-6.
Zhao RQ, Liu Y, Ding ML, et al., 2010. Research on carbon source and sink of farmland ecosystem in Henan Province. J Henan Agr Sci (7): 40-44.
Zhou YL, Ju WM, Liu YB, 2022. Characteristics and driving factors of global terrestrial ecosystem carbon fluxes from 1981 to 2019. T Atmosph Sci 45(3): 332-344.
Zhu B, Cheng W, 2013. Impacts of drying- wetting cycles on rhizosphere respiration and soil organic matter decomposition. Soil Biol Biochem 63: 89-96. https://doi.org/10.1016/j.soilbio.2013.03.027
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