基于REddyProc的干旱区枣林通量数据插补及能量平衡分析

doi:10.11707/j.1001-7488.LYKX20210821

Abstract

Abstract:

Objective: The acquisition of complete and valid flux data as well as the analysis of the energy balance of an ecosystem is the basis for further understanding of the energy and material exchange processes in an ecosystem. Method: In this paper, the R language REddyProc package was selected to interpolate the flux data measured by the Eddy covariance technique. The interpolated data were evaluated using the cross-validation method and the energy balance closure. At the same time, the terms of the thermal storage in the energy balance were corrected to analyze the energy balance closure of jujube forests in the arid zone and the trend of each energy component. Result: 1) The REddyProc package could interpolate the data better with the error statistic parameters of the regression coefficient b=0.86-0.99, determination coefficient R²=0.86-0.95, index of agreement d=0.96-0.98, efficiency of simulation EF=0.84-0.92, and RMSE-observations standard deviation ratio RSR=0.28-0.40. 2) After conducting the R package interpolation, the energy balance closures of the jujube date forests were 73.45% and 73.11%, respectively. R² of the 2-year effective energy (H+LE) and available energy (R_n－G) both were 0.97. After adding the thermal storage terms, the energy balance closures increased to 77.17% (by 3.72%) and 75.86% (by 2.75%), respectively. The thermal storage terms affected some improvements in the energy balance closure of jujube forests. 3) The daily-averaged variation pattern of each energy component (the net radiation R_n, latent heat flux LE, sensible heat flux H, and soil heat flux G) was similar during the fertility and dormancy with a single-peaked daily variation according to the variation pattern of the net radiation. Conclusion: This paper analyzed the energy exchange patterns of Jujube forest ecosystems in arid areas. The year-round energy balance closure of jujube forests was in line with the range of ChinaFlux and the thermal storage term affected some improvements in the energy balance closure of jujube forests. The achievements can provide a theoretical basis for studying the energy and material cycles in jujube forests.

Key words: REddyProc package, eddy covariance, data interpolation, arid area, jujube forests, energy balance

CLC Number:

S718.5

Ying Qiao,Yingjie Ma,Mingliang Xin. Flux Data Interpolation and Energy Balance Analysis of Jujube Forests in Arid Areas by Employing REddyProc[J]. Scientia Silvae Sinicae, 2023, 59(8): 1-11.

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	曹寰琦, 何　清, 金莉莉, 等. 塔克拉玛干沙漠北缘夏秋冬季地表能量平衡闭合特征. 干旱区研究, 2018, 35 (4): 830- 839.
	Cao H Q, He Q, Jin L L, et al. Surface energy balance closure of summer, autumn and winter in the northern margin of Taklimakan Desert. Arid Zone Research, 2018, 35 (4): 830- 839.
	高红贝, 邵明安. 黑河中游绿洲春小麦生育期农田热储通量分析. 灌溉排水学报, 2015, 34 (5): 33- 40,90.
	Gao H B, Shao M A. Heat storage fluxes of spring wheat during growth periods in the oasis farmland in Heihe Basin. Journal of Irrigation and Drainage, 2015, 34 (5): 33- 40,90.
	李宏宇, 张　强, 王春玲, 等. 空气热储存、光合作用和土壤垂直水分运动对黄土高原地表能量平衡的影响. 物理学报, 2012, 61 (15): 537- 547. doi: 10.7498/aps.61.159201
	Li H Y, Zhang Q, Wang C L, et al. The influences of air heat storage, plant photosynthesis and soil water movement on surface energy balance over the loess plateau. Acta Physica Sinica, 2012, 61 (15): 537- 547. doi: 10.7498/aps.61.159201
	李正泉, 于贵瑞, 温学发, 等. 中国通量观测网络(ChinaFLUX)能量平衡闭合状况的评价. 中国科学:地球科学, 2004, 34 (S2): 46- 56.
	Li Z Q, Yu G R, Wen X F, et al. Evaluation of the energy balance closure of ChinaFLUX observation network. Scientia Sinica(Terrae), 2004, 34 (S2): 46- 56.
	刘允芬, 于贵瑞, 李　菊, 等. 红壤丘陵区人工林能量平衡闭合研究——以江西省泰和县千烟洲为例. 林业科学, 2006, 42 (2): 13- 20. doi: 10.3321/j.issn:1001-7488.2006.02.003
	Liu Y F, Yu G R, Li J, et al. Study on surface energy balance closure of a coniferous forest plantation in red earth hilly area, China: take Qianyanzhou, Taihe County, Jiangxi Province as an example. Scientia Silvae Sinicae, 2006, 42 (2): 13- 20. doi: 10.3321/j.issn:1001-7488.2006.02.003
	马　虹, 陈亚宁, 李卫红. 荒漠河岸柽柳(Tamarix chinensis)灌丛的能量平衡特征 . 中国沙漠, 2014, 34 (1): 108- 117. doi: 10.7522/j.issn.1000-694X.2013.00134
	Ma H, Chen Y N, Li W H. Characteristics of energy balance of riparian Tamarix shrubs in desert . Journal of Desert Research, 2014, 34 (1): 108- 117. doi: 10.7522/j.issn.1000-694X.2013.00134
	马小红, 苏永红, 鱼腾飞, 等. 荒漠河岸胡杨林生态系统涡度相关通量数据处理与质量控制方法研究. 干旱区地理, 2015, 38 (3): 626- 635.
	Ma X H, Su Y H, Yu T F, et al. Data processing and quality control of eddy covariance in desert riparian forest. Arid Land Geography, 2015, 38 (3): 626- 635.
	乔　英, 马英杰, 辛明亮. 基于改进S-W与结构方程模型的干旱区枣园蒸散特征分析. 农业机械学报, 2021, 52 (8): 307- 317. doi: 10.6041/j.issn.1000-1298.2021.08.032
	Qiao Y, Ma Y J, Xin M L. Analysis of evapotranspiration characteristics of Ziziphus jujuba Mill . orchards in arid areas based on improved S-W and structural equation model. Transactions of the Chinese Society for Agricultural Machinery, 2021, 52 (8): 307- 317. doi: 10.6041/j.issn.1000-1298.2021.08.032
	孙　成, 江　洪, 陈云飞, 等. 我国亚热带毛竹林生长季能量通量过程及闭合度分析. 热带亚热带植物学报, 2014, 22 (1): 38- 44.
	Sun C, Jiang H, Chen Y F, et al. Energy flux and energy balance closure analysis of Phyllostachys edulis forest in subtropical China during growing season . Journal of Tropical and Subtropical Botany, 2014, 22 (1): 38- 44.
	孙树臣, 邵明安. 热储通量对黄土高原北部柠条林地地表能量平衡的影响. 生态学报, 2018, 38 (16): 5782- 5791.
	Sun S C, Shao M A. Effects of heat storage on surface energy balance in Caragana forest land of northern the Loess Plateau . Acta Ecologica Sinica, 2018, 38 (16): 5782- 5791.
	童应祥, 田　红. 寿县地区麦田能量平衡闭合状况分析. 中国农学通报, 2009, 25 (18): 384- 387.
	Tong Y X, Tian H. Analysis of energy balance closure of Shouxian wheat field. Chinese Agricultural Science Bulletin, 2009, 25 (18): 384- 387.
	魏光辉. 新疆阿克苏市近50余年主要水文要素变化分析. 水资源开发与管理, 2015, 13 (3): 81- 84.
	Wei G H. Analysis on changes of main hydrological features during the last 50 years in Xinjiang Aksu. Water Resources Development and Management, 2015, 13 (3): 81- 84.
	吴翠云, 常宏伟, 林敏娟, 等. 新疆枣产业发展现状及其问题探讨. 北方果树, 2016, (6): 41- 44.
	Wu C Y, Chang H W, Lin M J, et al. Development status and problem exploration of Xinjiang jujube industry. Northern Fruits, 2016, (6): 41- 44.
	吴家兵, 关德新, 赵晓松, 等. 东北阔叶红松林能量平衡特征. 生态学报, 2005, 25 (10): 2520- 2526. doi: 10.3321/j.issn:1000-0933.2005.10.009
	Wu J B, Guan D X, Zhao X S, et al. Characteristic of the energy balance in broad-leaved Korean pine forest of northeastern China. Acta Ecologica Sinica, 2005, 25 (10): 2520- 2526. doi: 10.3321/j.issn:1000-0933.2005.10.009
	新疆维吾尔自治区统计局. 2020. 新疆统计年鉴. 北京: 中国统计出版社.
	Statistics Bureau of Xinjiang Uygur Autonomous Region. 2020. Statistical year book of Xinjiang. Beijing: China Statistics Press.［in Chinese］
	徐菲楠, 田志伟, 王维真. 西北干旱区玉米农田光合作用对地表能量平衡的影响. 兰州大学学报(自然科学版), 2018, 54 (2): 224- 232.
	Xu F N, Tian Z W, Wang W Z. Effect of the photosynthesis on the surface energy balance in corn farmland in the arid region of northwest China. Journal of Lanzhou University (Natural Sciences), 2018, 54 (2): 224- 232.
	徐自为, 刘绍民, 徐同仁, 等. 不同土壤热通量测算方法的比较及其对地表能量平衡闭合影响的研究. 地球科学进展, 2013, 28 (8): 875- 889. doi: 10.11867/j.issn.1001-8166.2013.08.0875
	Xu Z W, Liu S M, Xu T R, et al. The observation and calculation method of soil heat flux and its impact on the energy balance closure. Advances in Earth Science, 2013, 28 (8): 875- 889. doi: 10.11867/j.issn.1001-8166.2013.08.0875
	于贵瑞, 孙晓敏. 2017. 陆地生态系统通量观测的原理和方法. 2版北京: 高等教育出版社.
	Yu G R, Shun X M. 2017. Principles of flux measurement in terrestrial ecosystems. 2^nd. Beijing: Higher Education Press.［in Chinese］
	袁再健, 沈彦俊, 褚英敏, 等. 华北平原冬小麦生长期典型农田热、碳通量特征与过程模拟. 环境科学, 2010, 31 (1): 41- 48.
	Yuan Z J, Shen Y J, Chu Y M, et al. Characteristics and simulation of heat and CO₂ fluxes over a typical cropland during the winter wheat growing in the North China plain . Environmental Science, 2010, 31 (1): 41- 48.
	岳　平, 张　强, 杨金虎, 等. 黄土高原半干旱草地地表能量通量及闭合率. 生态学报, 2011, 31 (22): 6866- 6876.
	Yue P, Zhang Q, Yang J H, et al. Surface heat flux and energy budget for semi-arid grassland on the Loess Plateau. Acta Ecologica Sinica, 2011, 31 (22): 6866- 6876.
	张晓娟, 吴志祥, 杨　川, 等. 海南岛橡胶林能量平衡研究. 西北林学院学报, 2016, 31 (2): 77- 85. doi: 10.3969/j.issn.1001-7461.2016.02.14
	Zhang X J, Wu Z X, Yang C, et al. Energy balance research of the rubber plantation in Hainan Island. Journal of Northwest Forestry University, 2016, 31 (2): 77- 85. doi: 10.3969/j.issn.1001-7461.2016.02.14
	朱咏莉, 吴金水, 胡晶亮, 等. 亚热带稻田能量平衡闭合状况分析. 中国农学通报, 2007, 23 (8): 536- 539. doi: 10.3969/j.issn.1000-6850.2007.08.117
	Zhu Y L, Wu J S, Hu J L, et al. Energy balance closure at rice paddy fields in subtropical region. Chinese Agricultural Science Bulletin, 2007, 23 (8): 536- 539. doi: 10.3969/j.issn.1000-6850.2007.08.117
	Anapalli S S, Fisher D K, Reddy K N, et al. Quantifying water and CO₂ fluxes and water use efficiencies across irrigated C₃ and C₄ crops in a humid climate . Science of the Total Environment, 2019, 663 (46): 338- 350.
	Baldocchi D, Falge E, Gu L H, et al. 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, 2001, 82 (11): 2415- 2434. doi: 10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO;2
	Blanken P D, Black T A, Neumann H H, et al. Turbulent flux measurements above and below the overstory of a boreal aspen forest. Boundary-Layer Meteorology, 1998, 89 (1): 109- 140. doi: 10.1023/A:1001557022310
	Blanken P D, Black T A, Yang P C, et al. Energy balance and canopy conductance of a boreal aspen forest: Partitioning overstory and understory components. Journal of Geophysical Research:Atmospheres, 1997, 102 (D24): 28915- 28927. doi: 10.1029/97JD00193
	Boudhina N, Zitouna-Chebbi R, Mekki I, et al. 2018. Evaluating four gap-filling methods for eddy covariance measurements of evapotranspiration over hilly crop fields. Geoscientific Instrumentation, Methods and Data Systems, 7(2): 151-167.
	Dou J X, Zhang Y P, Yu G R, et al. A preliminary study on the heat storage fluxes of a tropical seasonal rain forest in Xishuangbanna. Science in China Series D:Earth Sciences, 2006, 49 (2): 163- 173. doi: 10.1007/s11430-004-5348-1
	Falge E, Baldocchi D, Olson R, et al. Gap filling strategies for defensible annual sums of net ecosystem exchange. Agricultural and Forest Meteorology, 2001, 107 (1): 43- 69. doi: 10.1016/S0168-1923(00)00225-2
	Heusinkveld B G, Jacobs A F G, Holtslag A A M, et al. Surface energy balance closure in an arid region: role of soil heat flux. Agricultural and Forest Meteorology, 2004, 122 (1/2): 21- 37.
	Hui D, Wan S, Su B, et al. Gap-filling missing data in eddy covariance measurements using multiple imputation (MI) for annual estimations. Agricultural and Forest Meteorology, 2004, 121 (1/2): 93- 111.
	Hunt J E, Laubach J, Barthel M, et al. Carbon budgets for an irrigated intensively grazed dairy pasture and an unirrigated winter-grazed pasture. Biogeosciences, 2016, 13 (10): 2927- 2944. doi: 10.5194/bg-13-2927-2016
	Kljun N, Kormann R, Rotach M W, et al. Comparison of the Langrangian footprint. Boundary-Layer Meteorology, 2003, 106 (2): 349- 355. doi: 10.1023/A:1021141223386
	Kormann R, Meixner F X. An analytical footprint model for non-neutral stratification. Boundary-Layer Meteorology, 2001, 99 (2): 207- 224. doi: 10.1023/A:1018991015119
	Leuning R. 2006. Measurements of trace gas fluxes in the atmosphere using eddy covariance: WPL corrections revisited. Handbook of Micrometeorology. Dordrecht: Kluwer Academic Publishers, 119-132.
	Massman W J. A simple method for estimating frequency response corrections for eddy covariance systems. Agricultural and Forest Meteorology, 2000, 104 (3): 185- 198. doi: 10.1016/S0168-1923(00)00164-7
	Oliphant A J, Grimmond C, Zutter H N, et al. Heat storage and energy balance fluxes for a temperate deciduous forest. Agricultural and Forest Meteorology, 2004, 126 (3/4): 185- 201.
	Papale D, Reichstein M, Aubinet M, et al. Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences, 2006, 3 (4): 571- 583. doi: 10.5194/bg-3-571-2006
	Wang E L, Smith C J, Macdonald B, et al. Making sense of cosmic-ray soil moisture measurements and eddy covariance data with regard to crop water use and field water balance. Agricultural Water Management, 2018, 204, 271- 280. doi: 10.1016/j.agwat.2018.04.017
	Wilson K, Goldstein A, Falge E, et al. Energy balance closure at FLUXNET sites. Agricultural and Forest Meteorology, 2002, 113 (1/2/3/4): 223- 243.
	Wutzler T, Lucas-Moffat A, Migliavacca M, et al. Basic and extensible post-processing of eddy covariance flux data with REddyProc. Biogeosciences, 2018, 15 (16): 5015- 5030. doi: 10.5194/bg-15-5015-2018
	Zitouna-Chebbi R, Prévot L, Chakhar A, et al. Observing actual evapotranspiration from flux tower eddy covariance measurements within a hilly watershed: case study of the kamech site, cap bon peninsula, Tunisia. Atmosphere, 2018, 9 (2): 68. doi: 10.3390/atmos9020068

时间 Time	气温 Temperature/℃	灌溉量 Irrigation amount/mm	时间 Time	气温 Temperature/℃	灌溉量 Irrigation amount/mm
2018-04	16.58	65.33	2019-04	16.16	90.63
2018-05	18.93	120.96	2019-05	18.26	130.50
2018-06	22.42	206.94	2019-06	21.35	130.50
2018-07	24.07	178.73	2019-07	24.74	170.38
2018-08	22.71	162.90	2019-08	22.92	192.13
2018-09	17.00	112.24	2019-09	17.74	134.13
2018-10	10.24	0	2019-10	11.08	0

观测项目Observation items	传感器型号 Instrument model	厂家及产地 Manufacturer and origin	采集频率 Acquisition frequency	安装位置 Installation location
空气温湿度 Air temperature and humidity	EL-USB-2	OMEGA，USA	30 min	0.3 m，1 m，2 m，3 m，4 m
空气温湿度 Air temperature and humidity	HMP155A	VAISALA，FL	20 s	6 m
水热通量Hydrothermal flux	IRGASON	Campbell Scientific，USA	10 Hz	6 m
CO₂通量CO₂ flux	IRGASON	Campbell Scientific，USA	10 Hz	6 m
土壤热通量Soil heat flux	HFP01	Campbell Scientific，USA	10 s	?8 cm
土壤温度 Soil temperature	TCAV	Campbell Scientific，USA	30 min	?6 cm，?10 cm
土壤温度 Soil temperature	Insentek Ⅱ	Insentek，CHN	30 min	?10 cm
土壤含水率 Soil moisture content	Hydra Probe Ⅱ	Stevens，FL	3 0min	?2.5 cm，?2 5 cm，?50 cm，?75 cm，?100 cm
土壤含水率 Soil moisture content	Insentek Ⅱ	Insentek，CHN	30 min	?10 cm
太阳辐射Solar radiation	CNR4	Campbell Scientific，USA	1 s	5.5 m
数据采集器Data collector	CR3000	Campbell Scientific，USA	30 min	1.5 m

质量分级 Quality classification	H数据个数 Number of H	占比 Proportion(%)	LE数据个数 Number of LE	占比 Proportion(%)	NEE数据个数 Number of NEE	占比 Proportion(%)
0	282	0.80	5 762	16.44	4 250	12.13
1~3	9 857	28.13	7 168	20.46	7 233	20.64
4~6	2 097	5.98	1 809	5.16	2 267	6.47
7	5 445	15.54	4 532	12.93	5 998	17.12
8	4 982	14.22	4 814	13.74	4 806	13.72
9	12 377	35.32	10 955	31.26	10 486	29.93
合计Total	35 040	100.00	35 040	100	35 040	100.00
剔除数据Eliminate data	16 640	47.49	16 775	47.87	14 736	42.05

误差统计参数 Error statistics parameters	2018			2019
误差统计参数 Error statistics parameters	H	LE	NEE	H	LE	NEE
回归系数 Regression coefficient(b)	0.97	0.86	0.88	0.94	0.86	0.88
决定系数 Determination coefficienti(R²)	0.87	0.95	0.94	0.86	0.94	0.93
一致性指数 Index of agreement(d)	0.96	0.97	0.98	0.96	0.96	0.97
模型模拟效率 Efficiency of simulation(EF)	0.85	0.90	0.92	0.84	0.87	0.91
均方根误差与观测值标准差比率 RMSE-observations standard deviation ratio(RSR)	0.39	0.31	0.28	0.40	0.36	0.30

项目Item	能量平衡闭合度Energy balance ratio（%）
	2018			2019
	全年Year-round	生育期 Fertility period	休眠期 Dormant period	全年Year-round	生育期 Fertility period	休眠期 Dormant period
未计入热储存项 Not including thermal storage item	73.45	75.34	71.31	73.11	77.60	68.02
计入热储存项 Including thermal storage item	77.17	80.37	73.54	75.86	82.16	68.72

Flux Data Interpolation and Energy Balance Analysis of Jujube Forests in Arid Areas by Employing REddyProc

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年份Year	大气显热储存量/净辐射Atmospheric sensible heat storage/net radiation	大气潜热储存量/ 净辐射 Latent atmospheric heat storage/net radiation	冠层热储存量/ 净辐射 Canopy heat storage/net radiation	土壤热储存量/ 净辐射 Soil thermal storage/net radiation	植物光合储存量/ 净辐射 Plant photosynthetic storage/net radiation	热储存项/净辐射 Heat storage items/net radiation
2018	1.49	0.2	0.39	?0.02	2.32	4.38
2019	1.21	0.21	0.31	0.01	2.21	3.96

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[13]	Liu Yunfen;Yu Guirui;Li Ju;Song Xia;Chen Yongrui. Study on Surface Energy Balance Closure of a Coniferous Forest Plantation in Red Earth Hilly Area, China——Take Qianyanzhou, Taihe County, Jiangxi Province as an example [J]. Scientia Silvae Sinicae, 2006, 42(2): 13-20.
[14]	Liu Shuming;Sun Changzhong;Sun Bingyin. Water and Heat Effect of Different Ground Coverings in Zanthoxylum bungeanum Plantation [J]. Scientia Silvae Sinicae, 2005, 41(6): 174-178.
[15]	Cui Jianguo;Cui Wenshan;Bai Ruixing;Li Demin Lan;Xianzhen. STUDIES ON THE AFFORESTATION TECHNIQUES FOR THREE OAK SPECIES INTHE SEMIARID AREAS OF WESTERN LIAONING PROVINCE [J]. Scientia Silvae Sinicae, 2003, 39(6): 68-76.