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寒旱区内陆河流域碳通量年际变化控制机制
王同红, 王旭峰, 张松林, 谭俊磊, 张阳, 任志国, 白雪洁
PDF(4238 KB)
PDF(4238 KB)
寒旱区内陆河流域碳通量年际变化控制机制
Interannual Change Control Mechanism of Carbon Flux in Inland River Basins in Cold and Arid Regions
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为了解寒旱区内陆河流域碳通量的年际变化及其控制机制，使用涡度相关技术和气象观测系统同步对黑河流域典型生态系统（草地、农田、湿地、荒漠、森林）的碳通量和气象环境要素进行了长期定位观测.分析观测数据显示：黑河流域内农田（玉米）生长季净生态系统生产力（NEP）与总初级生产力（GPP）最大（729.81 g C/m2/a与1 184.60 g C/m2/a），戈壁荒漠最小（94.18 g C/m2/a与134.97 g C/m2/a）；湿地生长季生态系统呼吸（Reco）最大（460.22 g C/m2/a），戈壁荒漠最小（41.18 g C/m2/a）.黑河上游高寒生态系统温度对NEP、GPP和Reco年际变化的解释度明显高于黑河中下游干旱生态系统，而上游高寒生态系统土壤水分对NEP、GPP和Reco年际变化的解释度低于中下游干旱生态系统.在上游的高寒生态系统中，各站点间温度与NEP、GPP和Reco为正相关，而在中下游则为负相关.浅层土壤水分在黑河流域内高寒区和干旱区均与生态系统的NEP、GPP和Reco为正相关，上游高寒区浅层土壤水分与NEP、GPP和Reco的相关性要高于深层土壤水分，而中下游干旱区则是深层土壤水分与NEP、GPP和Reco的相关性更高.
In order to understand the interannual variation and control mechanism of carbon fluxes in inland river basins in cold and arid regions, an integrated watershed-scale flux observing network has been constructed for the main ecosystems in the Heihe River basin, including alpine ecosystems in the upper reaches and arid ecosystems in the lower reaches. The observed data analysis indicates that the annual net ecosystem productivity (NEP) and annual gross primary productivity (GPP) were the largest at the cropland site (maize, 729.81 g C/m2/a and 1 184.60 g C/m2/a) and the smallest at the Gobi desert site (94.18 g C/m2/a and 134.97 g C/m2/a) in the Heihe River basin. As to the annual ecosystem respiration (Reco), the wetland ecosystem was the largest (460.22 g C/m2/a), and the Gobi desert ecosystem was the smallest (41.18 g C/m2/a). The explaining capacity of the temperature to GPP, NEP and Reco inter-annual variability is higher in the alpine ecosystems than that in the arid ecosystems. In comparison, the explaining capacity of the soil moisture to GPP, NEP and Reco inter-annual variability is lower in the alpine ecosystems than that in the arid ecosystems. In the upper reaches, GPP, NEP and Reco are positively correlated with GPP, NEP, Reco among sites, but the opposite is true in the middle and down reaches. The shallow soil moisture is positively correlated with NEP, GPP and Reco among all sites in the Heihe River basin. In the upstream, shallow soil moisture is more closely correlated with NEP, GPP and Reco than deep soil moisture, but the deep soil moisture is more closely correlated with NEP, GPP and Reco than shallow soil moisture in the middle and lower reaches.
碳 / 黑河流域 / 总初级生产力 / 净生态系统生产力 / 生态系统 / 环境地质
carbon / Heihe River basin / gross primary productivity / net ecosystem productivity / ecosystems / environmental geology
P69
|
Baldocchi, D., 2008. ‘Breathing’ of the Terrestrial Biosphere: Lessons Learned from a Global Network of Carbon Dioxide Flux Measurement Systems. Australian Journal of Botany, 56(1): 1. https://doi.org/10.1071/bt07151
|
|
Baldocchi, D., Falge, E., Gu, L. H., 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. Bulletin of the American Meteorological Society, 82(11): 2415-2434. https://doi.org/10.1175/1520-0477(2001)0822415: fantts>2.3.co;2
|
|
Barros, V., Stocker, T. F., 2012. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change. Journal of Clinical Endocrinology & Metabolism, 18(6): 586-599.
|
|
Cao, L., Shen, J.M., Nie, Z.L., et al., 2021. Stable Isotopic Characteristics of Precipitation and Moisture Recycling in Badain Jaran Desert. Earth Science, 46(8): 2973-2983 (in Chinese with English abstract).
|
|
Cao, S. K., Cao, G. C., Feng, Q., et al., 2017. Alpine Wetland Ecosystem Carbon Sink and Its Controls at the Qinghai Lake. Environmental Earth Sciences, 76(5): 210. https://doi.org/10.1007/s12665-017-6529-5
|
|
Chai, X., Li, Y.N., Duan, C., et al., 2018. CO2 Flux Dynamics and Its Limiting Factors in the Alpine Shrub-Meadow and Steppe-Meadow on the Qinghai-Xizang Plateau. Chinese Journal of Plant Ecology, 42(1): 6-19 (in Chinese with English abstract).
|
|
Cheng, G. D., Li, X., 2015. Integrated Research Methods in Watershed Science. Science China Earth Sciences, 58(7): 1159-1168. https://doi.org/10.1007/s11430-015-5074-x
|
|
Guo, H., Li, S. E., Wong, F. L., et al., 2021. Drivers of Carbon Flux in Drip Irrigation Maize Fields in Northwest China. Carbon Balance and Management, 16(1): 12. https://doi.org/10.1186/s13021-021-00176-5
|
|
Le Quéré, C., Raupach, M. R., Canadell, J. G., et al., 2009. Trends in the Sources and Sinks of Carbon Dioxide. Nature Geoscience, 2: 831-836. https://doi.org/10.1038/ngeo689
|
|
Li, Y. N., Sun, X. M., Zhao, X. Q., et al., 2006. Seasonal Variations and Mechanism for Environmental Control of NEE of CO2 Concerning the Potentilla Fruticosa in Alpine Shrub Meadow of Qinghai-Tibet Plateau. Science in China (Series D: Earth Sciences), 49(2): 174-185. https://doi.org/10.1007/s11430-006-8174-9
|
|
Liu, S. M., Che, T., Zhang, Y., et al., 2021. Comprehensive Observation Network of Qilian Mountains: Comprehensive Observation Network of Surface Processes in the Haihe River Basin (Eddy Correlator at Yakou Station-2020). National Tibetan Plateau Scientific Data Center, Beijing (in Chinese with English abstract).
|
|
Liu, S. M., Xu, Z. W., Wang, W. Z., et al., 2011. A Comparison of Eddy-Covariance and Large Aperture Scintillometer Measurements with Respect to the Energy Balance Closure Problem. Hydrology and Earth System Sciences, 15(4): 1291-1306. https://doi.org/10.5194/hess-15-1291-201110.5194/hessd-7-8741-2010
|
|
Lloyd, J., Taylor, J. A.,1994. On the Temperature Dependence of Soil Respiration. Functional Ecology, 315-323.
|
|
Loescher, H. W., Law, B. E., Mahrt, L., et al., 2006. Uncertainties in, and Interpretation of, Carbon Flux Estimates Using the Eddy Covariance Technique. Journal of Geophysical Research: Atmospheres, 111(D21): D21S90. https://doi.org/10.1029/2005jd006932
|
|
Ma, X. J., Wang, C. X., Dong, B. Y., et al., 2019. Carbon Emissions from Energy Consumption in China: Its Measurement and Driving Factors. Science of the Total Environment, 648: 1411-1420. https://doi.org/10.1016/j.scitotenv.2018.08.183
|
|
Mao, N., Liu, G.M., Li, L.S., et al., 2022. Methane Fluxes and Their Relationships with Methane-Related Microbes in Permafrost Regions of the Qilian Mountains. Earth Science, 47(2): 556-567 (in Chinese with English abstract).
|
|
Richardson, A. D., Braswell, B. H., Hollinger, D. Y., et al., 2006. Comparing Simple Respiration Models for Eddy Flux and Dynamic Chamber Data. Agricultural and Forest Meteorology, 141(2/3/4): 219-234. https://doi.org/10.1016/j.agrformet.2006.10.010
|
|
Solomon, S., Pierrehumbert, R. T., Matthews, D., et al., 2013. Atmospheric Composition, Irreversible Climate Change, and Mitigation Policy. Climate Science for Serving Society. Springer, Dordrecht, 415-436. https://doi.org/10.1007/978-94-007-6692-1_15
|
|
Thorsteinsson, T., Jóhannesson, T., Snorrason, Á., 2013. Glaciers and Ice Caps: Vulnerable Water Resources in a Warming Climate. Current Opinion in Environmental Sustainability, 5(6): 590-598. https://doi.org/10.1016/j.cosust.2013.11.003
|
|
Wang, H. B., Li, X., Xiao, J. F., et al., 2019. Carbon Fluxes across Alpine, Oasis, and Desert Ecosystems in Northwestern China: The Importance of Water Availability. The Science of the Total Environment, 697: 133978. https://doi.org/10.1016/j.scitotenv.2019.133978
|
|
Wang, J., Feng, L., Palmer, P. I., et al., 2020. Large Chinese Land Carbon Sink Estimated from Atmospheric Carbon Dioxide Data. Nature, 586: 720-723. https://doi.org/10.1038/s41586-020-2849-9
|
|
Wang, J.F., Xu, C.D., 2017. Geodetector: Principle and Prospective. Acta Geographica Sinica, 72(1): 116-134 (in Chinese with English abstract).
|
|
Wang, S. Y., Zhang, Y., Lü, S. H., et al., 2016. Biophysical Regulation of Carbon Fluxes over an Alpine Meadow Ecosystem in the Eastern Tibetan Plateau. International Journal of Biometeorology, 60(6): 801-812. https://doi.org/10.1007/s00484-015-1074-y
|
|
Wang, X. F., Ma, M. G., Huang, G. H., et al., 2012. Vegetation Primary Production Estimation at Maize and Alpine Meadow over the Heihe River Basin, China. International Journal of Applied Earth Observation and Geoinformation, 17: 94-101. https://doi.org/10.1016/j.jag.2011.09.009
|
|
Wang, Y. N., 2015. Remote Sensing Monitoring of Farmland Carbon Flux and Carbon Sequestration Capacity Based on Vorticity Correlation (Dissertation). Henan Polytechnic University, Jiaozuo (in Chinese with English abstract).
|
|
Wei, D., Qi, Y. H., Ma, Y. M., et al., 2021. Plant Uptake of CO2 Outpaces Losses from Permafrost and Plant Respiration on the Tibetan Plateau. Proceedings of the National Academy of Sciences of the United States of America, 118(33): e2015283118. https://doi.org/10.1073/pnas.2015283118
|
|
Wutzler, T., Lucas-Moffat, A., Migliavacca, M., et al., 2018. Basic and Extensible Post-Processing of Eddy Covariance Flux Data with REddyProc. Biogeosciences, 15(16): 5015-5030. https://doi.org/10.5194/bg-15-5015-2018
|
|
Xiao, J. F., Sun, G., Chen, J. Q., et al., 2013. Carbon Fluxes, Evapotranspiration, and Water Use Efficiency of Terrestrial Ecosystems in China. Agricultural and Forest Meteorology, 182/183: 76-90. https://doi.org/10.1016/j.agrformet.2013.08.007
|
|
Xinhua News Agency, 2020. Xi Jinping Delivered an Important Speech at the General Debate of the 75th Session of the UN General Assembly (in Chinese).
|
|
Yamamoto, S., Saigusa, N., Gamo, M., et al., 2005. Findings through the AsiaFlux Network and a View Toward the Future. Journal of Geographical Sciences, 15(2): 142-148. https://doi.org/10.1007/BF02872679
|
|
Yang, P., Zhao, L. Q., Liang, X. R., et al., 2022. Response of Net Ecosystem CO2 Exchange to Precipitation Events in the Badain Jaran Desert. Environmental Science and Pollution Research, 29(24): 36486-36501. https://doi.org/10.1007/s11356-021-18229-0
|
|
You, N. S., Meng, J. J., Zhu, L. K., 2018. Sensitivity and Resilience of Ecosystems to Climate Variability in the Semi-Arid to Hyper-Arid Areas of Northern China: A Case Study in the Heihe River Basin. Ecological Research, 33(1): 161-174. https://doi.org/10.1007/s11284-017-1543-3
|
|
Yu, T., Zhang, Q., Sun, R., 2021. Spatial Representativeness of Gross Primary Productivity from Carbon Flux Sites in the Heihe River Basin, China. Remote Sensing, 13(24): 5016. https://doi.org/10.3390/rs13245016
|
|
Zhang, Q., Sun, R., Jiang, G. Q., et al., 2016. Carbon and Energy Flux from a Phragmites Australis Wetland in Zhangye Oasis-Desert Area, China. Agricultural and Forest Meteorology, 230/231: 45-57. https://doi.org/10.1016/j.agrformet.2016.02.019
|
|
Zhou, B.T., Qian, J., 2021. Changes of Weather and Climate Extremes in the IPCC AR6. Climate Change Research, 17(6): 713-718.
|
|
Zhou, T. J., 2021. New Physical Science Behind Climate Change: What does IPCC AR6 Tell Us? Innovation (Cambridge (Mass)), 2(4): 100173. https://doi.org/10.1016/j.xinn.2021.100173
|
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