Chin J Plant Ecol ›› 2023, Vol. 47 ›› Issue (9): 1322-1332.DOI: 10.17521/cjpe.2023.0001
Special Issue: 全球变化与生态系统; 生态系统碳水能量通量
• Data Paper • Previous Articles
HAN Cong1, MU Yan-Mei1, ZHA Tian-Shan1,2, QIN Shu-Gao1,2, LIU Peng1,2, TIAN Yun1,2, JIA Xin1,2,*()
Received:
2023-01-02
Accepted:
2023-03-06
Online:
2023-09-20
Published:
2023-09-28
Contact:
* JIA Xin(Supported by:
HAN Cong, MU Yan-Mei, ZHA Tian-Shan, QIN Shu-Gao, LIU Peng, TIAN Yun, JIA Xin. A dataset of ecosystem fluxes in a shrubland ecosystem of Mau Us Sandy Land in Yanchi, Ningxia, China (2012-2016)[J]. Chin J Plant Ecol, 2023, 47(9): 1322-1332.
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URL: https://www.plant-ecology.com/EN/10.17521/cjpe.2023.0001
观测系统 Measurement system | 数据采集器 (制造商) Datalogger (manufacturer) | 观测指标 Measured variable | 仪器型号 (制造商) Instrument model (manufacturer) |
---|---|---|---|
通量观测系统 Flux measurement system | LI-7550 (LI-COR, Lincoln, USA) | 大气压 Atmospheric pressure | LI-7200 (LI-COR, Lincoln, USA) |
碳水通量 Carbon and water flux | LI-7200 (LI-COR, Lincoln, USA) | ||
潜热、显热通量 Latent heat and sensible heat flux | LI-7200 (LI-COR, Lincoln, USA) | ||
三维超声风速 3D sonic anemometer | CSAT-3 (Campbell, Logan, USA) | ||
气象观测系统 Meteorological measurement system | CR200X (Campbell, Logan, USA) | 降雨量 Rainfall | TR-525M (Texas Electronics, Dallas, USA) |
CR3000 (Campbell, Logan, USA) | 空气温度 Air temperature | HMP155A (Vaisala, Helsinki, Finland) | |
相对湿度 Relative humidity | HMP155A (Vaisala, Helsinki, Finland) | ||
饱和水汽压差 Vapor pressure deficit | HMP155A (Vaisala, Helsinki, Finland) | ||
风速 Wind speed | 034B (Met-One Instruments, Grants Pass, USA) | ||
风向 Wind direction | 034B (Met-One Instruments, Grants Pass, USA) | ||
太阳辐射 Solar radiation | CMP3 (Kipp & Zonen, Delft, The Netherlands) | ||
净辐射 Net radiation | CNR-4 (Kipp & Zonen, Delft, The Netherlands) | ||
光合有效辐射 Photosynthetically active radiation | PAR-LITE (Kipp & Zonen, Delft, The Netherlands) | ||
土壤热通量 Soil heat flux | HFP01 (Hukseflux Thermal Sensors, Delft, The Netherlands) | ||
土壤温度 Soil temperature | ECH2O-5TE (METER Environment, Pullman, USA) | ||
EM50 (METER Environment, Pullman, USA) | 土壤含水量 Soil water content | ECH2O-5TE (METER Environment, Pullman, USA) |
Table 1 Summary of measured variables, instruments, and dataloggers in a Artemisia ordosica shrubland ecosystem of Mau Us Sandy Land in Yanchi, Ningxia
观测系统 Measurement system | 数据采集器 (制造商) Datalogger (manufacturer) | 观测指标 Measured variable | 仪器型号 (制造商) Instrument model (manufacturer) |
---|---|---|---|
通量观测系统 Flux measurement system | LI-7550 (LI-COR, Lincoln, USA) | 大气压 Atmospheric pressure | LI-7200 (LI-COR, Lincoln, USA) |
碳水通量 Carbon and water flux | LI-7200 (LI-COR, Lincoln, USA) | ||
潜热、显热通量 Latent heat and sensible heat flux | LI-7200 (LI-COR, Lincoln, USA) | ||
三维超声风速 3D sonic anemometer | CSAT-3 (Campbell, Logan, USA) | ||
气象观测系统 Meteorological measurement system | CR200X (Campbell, Logan, USA) | 降雨量 Rainfall | TR-525M (Texas Electronics, Dallas, USA) |
CR3000 (Campbell, Logan, USA) | 空气温度 Air temperature | HMP155A (Vaisala, Helsinki, Finland) | |
相对湿度 Relative humidity | HMP155A (Vaisala, Helsinki, Finland) | ||
饱和水汽压差 Vapor pressure deficit | HMP155A (Vaisala, Helsinki, Finland) | ||
风速 Wind speed | 034B (Met-One Instruments, Grants Pass, USA) | ||
风向 Wind direction | 034B (Met-One Instruments, Grants Pass, USA) | ||
太阳辐射 Solar radiation | CMP3 (Kipp & Zonen, Delft, The Netherlands) | ||
净辐射 Net radiation | CNR-4 (Kipp & Zonen, Delft, The Netherlands) | ||
光合有效辐射 Photosynthetically active radiation | PAR-LITE (Kipp & Zonen, Delft, The Netherlands) | ||
土壤热通量 Soil heat flux | HFP01 (Hukseflux Thermal Sensors, Delft, The Netherlands) | ||
土壤温度 Soil temperature | ECH2O-5TE (METER Environment, Pullman, USA) | ||
EM50 (METER Environment, Pullman, USA) | 土壤含水量 Soil water content | ECH2O-5TE (METER Environment, Pullman, USA) |
数据项 Data item | 计量单位 Unit |
---|---|
年 Year | - |
月 Month | - |
日 Day | - |
时 Hour | - |
分 Minute | - |
潜热通量 Latent heat flux | W·m-2 |
显热通量 Sensible heat flux | W·m-2 |
总初级生产力 Gross primary productivity | mg C·m-2·s-1 |
生态系统呼吸 Ecosystem respiration | mg C·m-2·s-1 |
生态系统净CO2交换 Net ecosystem CO2 exchange | mg C·m-2·s-1 |
Table 2 Summary of half-hourly ecosystem flux data at Yanchi Research Station
数据项 Data item | 计量单位 Unit |
---|---|
年 Year | - |
月 Month | - |
日 Day | - |
时 Hour | - |
分 Minute | - |
潜热通量 Latent heat flux | W·m-2 |
显热通量 Sensible heat flux | W·m-2 |
总初级生产力 Gross primary productivity | mg C·m-2·s-1 |
生态系统呼吸 Ecosystem respiration | mg C·m-2·s-1 |
生态系统净CO2交换 Net ecosystem CO2 exchange | mg C·m-2·s-1 |
数据项 Data item | 计量单位 Unit | 数据项说明 Description |
---|---|---|
年 Year | - | 年份 Year |
月 Month | - | 月份 Month |
日 Day | - | 日期 Day |
时 Hour | - | 小时 Hour |
分 Minute | - | 分钟 Minute |
空气温度 Air temperature | ℃ | 冠层上方平均空气温度 Mean air temperature above canopy |
相对湿度 Relative humidity | % | 冠层上方平均相对湿度 Mean relative humidity above canopy |
饱和水汽压差 Vapor pressure deficit | kPa | 冠层上方饱和水汽压差 Vapor pressure deficit above canopy |
大气压 Atmospheric pressure | kPa | 大气压强 Atmospheric pressure |
风速 Wind speed | m·s-1 | 冠层上方风速 Wind speed above canopy |
风向 Wind direction | ° | 冠层上方风向 Wind direction above canopy |
太阳辐射 Solar radiation | W·m-2 | 太阳总辐射 Total solar radiation |
净辐射 Net radiation | W·m-2 | 净辐射 Net radiation |
光合有效辐射 Photosynthetically active radiation | μmol·m-2·s-1 | 光合有效辐射 Photosynthetically active radiation |
土壤热通量 Soil heat flux | W·m-2 | 土壤热通量 Soil heat flux |
一层土壤(10 cm)温度 10 cm soil temperature | ℃ | 距地 |
二层土壤(30 cm)温度 30 cm soil temperature | ℃ | 距地 |
一层土壤(10 cm)含水量 10 cm soil water content | m3·m-3 | 距地 |
二层土壤(30 cm)含水量 30 cm soil water content | m3·m-3 | 距地 |
降雨量 Rainfall | mm | 降雨量 Rainfall |
Table 3 Summary of half-hourly micro-meteorological data at Yanchi Research Station
数据项 Data item | 计量单位 Unit | 数据项说明 Description |
---|---|---|
年 Year | - | 年份 Year |
月 Month | - | 月份 Month |
日 Day | - | 日期 Day |
时 Hour | - | 小时 Hour |
分 Minute | - | 分钟 Minute |
空气温度 Air temperature | ℃ | 冠层上方平均空气温度 Mean air temperature above canopy |
相对湿度 Relative humidity | % | 冠层上方平均相对湿度 Mean relative humidity above canopy |
饱和水汽压差 Vapor pressure deficit | kPa | 冠层上方饱和水汽压差 Vapor pressure deficit above canopy |
大气压 Atmospheric pressure | kPa | 大气压强 Atmospheric pressure |
风速 Wind speed | m·s-1 | 冠层上方风速 Wind speed above canopy |
风向 Wind direction | ° | 冠层上方风向 Wind direction above canopy |
太阳辐射 Solar radiation | W·m-2 | 太阳总辐射 Total solar radiation |
净辐射 Net radiation | W·m-2 | 净辐射 Net radiation |
光合有效辐射 Photosynthetically active radiation | μmol·m-2·s-1 | 光合有效辐射 Photosynthetically active radiation |
土壤热通量 Soil heat flux | W·m-2 | 土壤热通量 Soil heat flux |
一层土壤(10 cm)温度 10 cm soil temperature | ℃ | 距地 |
二层土壤(30 cm)温度 30 cm soil temperature | ℃ | 距地 |
一层土壤(10 cm)含水量 10 cm soil water content | m3·m-3 | 距地 |
二层土壤(30 cm)含水量 30 cm soil water content | m3·m-3 | 距地 |
降雨量 Rainfall | mm | 降雨量 Rainfall |
Fig. 1 Temporal variations in daily carbon and heat fluxes at Yanchi Research Station during 2012-2016. GPP, gross primary productivity; Hs, sensible heat flux; LE, latent heat flux; NEE, net ecosystem CO2 exchange; Re, ecosystem respiration.
Fig. 2 Temporal variations in daily mean air temperature, daily total rainfall and daily mean photosynthetically active radiation (PAR) at Yanchi Research Station during 2012-2016.
年份 Year | NEE (%) | LE (%) | Hs (%) |
---|---|---|---|
2012 | 59.89 | 91.23 | 90.84 |
2013 | 56.23 | 79.40 | 77.56 |
2014 | 61.53 | 90.03 | 88.33 |
2015 | 62.19 | 94.12 | 91.27 |
2016 | 60.56 | 87.78 | 84.86 |
平均 Mean | 60.08 | 88.51 | 86.57 |
Table 4 Proportion of valid flux data at Yanchi Research Station during 2012-2016
年份 Year | NEE (%) | LE (%) | Hs (%) |
---|---|---|---|
2012 | 59.89 | 91.23 | 90.84 |
2013 | 56.23 | 79.40 | 77.56 |
2014 | 61.53 | 90.03 | 88.33 |
2015 | 62.19 | 94.12 | 91.27 |
2016 | 60.56 | 87.78 | 84.86 |
平均 Mean | 60.08 | 88.51 | 86.57 |
年份 Year | 能量平衡比率 EBR |
---|---|
2012 | 0.83 |
2013 | 0.83 |
2014 | 0.78 |
2015 | 0.80 |
2016 | 0.80 |
平均 Mean | 0.81 |
Table 5 Annual energy balance ratio (EBR) for flux measurements at Yanchi Research Station during 2012-2016
年份 Year | 能量平衡比率 EBR |
---|---|
2012 | 0.83 |
2013 | 0.83 |
2014 | 0.78 |
2015 | 0.80 |
2016 | 0.80 |
平均 Mean | 0.81 |
月份 Month | 年份 Year | 平均 Mean | ||||
---|---|---|---|---|---|---|
2012 | 2013 | 2014 | 2015 | 2016 | ||
1 | 1.10 | 1.19 | 1.08 | 0.86 | 0.90 | 1.03 |
2 | 0.96 | 1.06 | 0.82 | 0.92 | 0.96 | 0.94 |
3 | 0.90 | 0.99 | 0.95 | 0.93 | 0.90 | 0.93 |
4 | 0.97 | 0.96 | 0.80 | 0.82 | 0.83 | 0.87 |
5 | 0.82 | 0.85 | 0.82 | 0.81 | 0.69 | 0.80 |
6 | 0.81 | 0.79 | 0.79 | 0.79 | 0.82 | 0.80 |
7 | 0.72 | 0.64 | 0.68 | 0.77 | 0.77 | 0.72 |
8 | 0.72 | 0.78 | 0.63 | 0.77 | 0.71 | 0.72 |
9 | 0.72 | 0.65 | 0.59 | 0.62 | 0.79 | 0.67 |
10 | 0.86 | 0.88 | 0.79 | 0.82 | 0.75 | 0.82 |
11 | 0.88 | 0.88 | 0.91 | 0.68 | 1.00 | 0.87 |
12 | 1.01 | 1.12 | 1.04 | 1.13 | 0.98 | 1.06 |
平均 Mean | 0.87 | 0.90 | 0.83 | 0.83 | 0.84 | 0.85 |
Table 6 Monthly energy balance ratio (EBR) for flux measurements at Yanchi Research Station during 2012-2016
月份 Month | 年份 Year | 平均 Mean | ||||
---|---|---|---|---|---|---|
2012 | 2013 | 2014 | 2015 | 2016 | ||
1 | 1.10 | 1.19 | 1.08 | 0.86 | 0.90 | 1.03 |
2 | 0.96 | 1.06 | 0.82 | 0.92 | 0.96 | 0.94 |
3 | 0.90 | 0.99 | 0.95 | 0.93 | 0.90 | 0.93 |
4 | 0.97 | 0.96 | 0.80 | 0.82 | 0.83 | 0.87 |
5 | 0.82 | 0.85 | 0.82 | 0.81 | 0.69 | 0.80 |
6 | 0.81 | 0.79 | 0.79 | 0.79 | 0.82 | 0.80 |
7 | 0.72 | 0.64 | 0.68 | 0.77 | 0.77 | 0.72 |
8 | 0.72 | 0.78 | 0.63 | 0.77 | 0.71 | 0.72 |
9 | 0.72 | 0.65 | 0.59 | 0.62 | 0.79 | 0.67 |
10 | 0.86 | 0.88 | 0.79 | 0.82 | 0.75 | 0.82 |
11 | 0.88 | 0.88 | 0.91 | 0.68 | 1.00 | 0.87 |
12 | 1.01 | 1.12 | 1.04 | 1.13 | 0.98 | 1.06 |
平均 Mean | 0.87 | 0.90 | 0.83 | 0.83 | 0.84 | 0.85 |
Fig. 3 Regression analysis on the energy balance closure of daily flux values at Yanchi Research Station for different years during 2012-2016. G, soil heat flux; Hs, sensible heat flux; LE, latent heat flux; Rn, net radiation.
Fig. 4 Regression analysis on the energy balance closure of daily flux values at Yanchi Research Station for different seasons during 2012-2016. G, soil heat flux; Hs, sensible heat flux; LE, latent heat flux; Rn, net radiation.
[1] |
Ahlström A, Raupach MR, Schurgers G, Smith B, Arneth A, Jung M, Reichstein M, Canadell JG, Friedlingstein P, Jain AK, Kato E, Poulter B, Sitch S, Stocker BD, Viovy N, et al. (2015). Carbon cycle. The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink. Science, 348, 895-899.
DOI PMID |
[2] |
Barr AG, Black TA, Hogg EH, Griffis TJ, Morgenstern K, Kljun N, Theede A, Nesic Z (2007). Climatic controls on the carbon and water balances of a boreal aspen forest, 1994-2003. Global Change Biology, 13, 561-576.
DOI URL |
[3] |
Biederman JA, Scott RL, Arnone III JA, Jasoni RL, Litvak ME, Moreo MT, Papuga SA, Ponce-Campos GE, Schreiner-McGraw AP, Vivoni ER (2018). Shrubland carbon sink depends upon winter water availability in the warm deserts of North America. Agricultural and Forest Meteorology, 249, 407-419.
DOI URL |
[4] |
Chen SP, You CH, Hu ZM, Chen Z, Zhang LM, Wang QF (2020). Eddy covariance technique and its applications in flux observations of terrestrial ecosystems. Chinese Journal of Plant Ecology, 44, 291-304.
DOI URL |
[陈世苹, 游翠海, 胡中民, 陈智, 张雷明, 王秋凤 (2020). 涡度相关技术及其在陆地生态系统通量研究中的应用. 植物生态学报, 44, 291-304.]
DOI |
|
[5] | Fu TL, Li XR, Jia RL, Feng L (2021). A novel integrated method based on a machine learning model for estimating evapotranspiration in dryland. Journal of Hydrology, 603, 126881. DOI: 10.1016/j.jhydrol.2021.126881. |
[6] |
Gu Q, Wei J, Luo SC, Ma MG, Tang XG (2018). Potential and environmental control of carbon sequestration in major ecosystems across arid and semi-arid regions in China. Science of the Total Environment, 645, 796-805.
DOI URL |
[7] | Jia X, Mu Y, Zha TS, Wang B, Qin SG, Tian Y (2020). Seasonal and interannual variations in ecosystem respiration in relation to temperature, moisture, and productivity in a temperate semi-arid shrubland. Science of the Total Environment, 709, 136210. DOI: 10.1016/j.scitotenv.2019.136210. |
[8] | Jia X, Zha TS, Gong JN, Wang B, Zhang YQ, Wu B, Qin SG, Peltola H (2016). Carbon and water exchange over a temperate semi-arid shrubland during three years of contrasting precipitation and soil moisture patterns. Agricultural and Forest Meteorology, 228, 120-129. |
[9] |
Jia X, Zha TS, Gong JN, Zhang YQ, Wu B, Qin SG, Peltola H (2018). Multi-scale dynamics and environmental controls on net ecosystem CO2 exchange over a temperate semiarid shrubland. Agricultural and Forest Meteorology, 259, 250-259.
DOI URL |
[10] |
Jia X, Zha TS, Wu B, Zhang YQ, Gong JN, Qin SG, Chen GP, Qian D, Kellomäki S, Peltola H (2014). Biophysical controls on net ecosystem CO2 exchange over a semiarid shrubland in northwest China. Biogeosciences, 11, 4679-4693.
DOI URL |
[11] | Jiang XY, Jia X, Gao SJ, Jiang Y, Wei NN, Han C, Zha TS, Liu P, Tian Y, Qin SG (2021) Plant nutrient contents rather than physical traits are coordinated between leaves and roots in a desert shrubland. Frontiers in Plant Science, 12, 734775. DOI: 10.3389/fpls.2021.734775. |
[12] | Li ZQ, Yu GR, Wen XF, Zhang LM, Ren CY, Fu YL (2005). Energy balance closure at ChinaFLUX sites. Science in China (Series D: Earth Sciences), 48, 51-62. |
[13] |
Liu P, Zha TS, Jia X, Black TA, Jassal RS, Ma JY, Bai YJ, Wu YJ (2019). Different effects of spring and summer droughts on ecosystem carbon and water exchanges in a semiarid shrubland ecosystem in northwest China. Ecosystems, 22, 1869-1885.
DOI |
[14] |
Lloyd J, Taylor JA (1994). On the temperature dependence of soil respiration. Functional Ecology, 8, 315-323.
DOI URL |
[15] |
McGloin R, Šigut L, Havránková K, Dušek J, Pavelka M, Sedlák P (2018). Energy balance closure at a variety of ecosystems in Central Europe with contrasting topographies. Agricultural and Forest Meteorology, 248, 418-431.
DOI URL |
[16] |
Miao L, Feng W, Zhang YQ, Bai YX, Sun YF, She WW, Mao HN, Lai ZR, Qin SG (2020). Chemoheterotrophic diazotrophs contribute to nitrogen incorporation in a semi-arid desert. Biology and Fertility of Soils, 56, 1165-1176.
DOI |
[17] | Mu YM, Yuan Y, Jia X, Zha TS, Qin SG, Ye ZQ, Liu P, Yang RZ, Tian Y (2022). Hydrological losses and soil moisture carryover affected the relationship between evapotranspiration and rainfall in a temperate semiarid shrubland. Agricultural and Forest Meteorology, 315, 108831. DOI: 10.1016/j.agrformet.2022.108831. |
[18] |
Ochsner TE, Sauer TJ, Horton R (2007). Soil heat storage measurements in energy balance studies. Agronomy Journal, 99, 311-319.
DOI URL |
[19] |
Papale D, Reichstein M, Aubinet M., Canfora E, Bernhofer C, Kutsch W, Longdoz B, Rambal S, Valentini R, Vesala T, Yakir D (2006). Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences, 3, 571-583.
DOI URL |
[20] |
Pastorello G, Trotta C, Canfora E, Chu HS, Christianson D, Cheah YW, Poindexter C, Chen JQ, Elbashandy A, Humphrey M, Isaac P, Polidori D, Reichstein M, Ribeca A, van Ingen C, et al. (2020). The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data, 7, 225. DOI: 10.1038/s41597-020-0534-3.
PMID |
[21] | Piao SL, Fang JY, Liu HY, Zhu B (2005). NDVI-indicated decline in desertification in China in the past two decades. Geophysical Research Letters, 32, L06402. DOI: 10.1029/2004GL021764. |
[22] |
Poulter B, Frank D, Ciais P, Myneni RB, Andela N, Bi J, Broquet G, Canadell JG, Chevallier F, Liu YY, Running SW, Sitch S, van der Werf GR (2014). Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature, 509, 600-603.
DOI |
[23] |
Reichstein M, Falge E, Baldocchi D, Papale D, Aubinet M, Berbigier P, Bernhofer C, Buchmann N, Gilmanov T, Granier A, Grünwald T, Havránková K, Ilvesniemi H, Janous D, Knohl A, et al. (2005). On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global Change Biology, 11, 1424-1439.
DOI URL |
[24] |
Reynolds JF, Smith DMS, Lambin EF, Turner II BL, Mortimore M, Batterbury SPJ, Downing TE, Dowlatabadi H, Fernández RJ, Herrick JE, Huber-Sannwald E, Jiang H, Leemans R, Lynam T, Maestre FT, et al. (2007). Global desertification: building a science for dryland development. Science, 316, 847-851.
DOI PMID |
[25] |
Wilson K, Goldstein A, Falge E, Aubinet M, Baldocchi D, Berbigier P, Bernhofer C, Ceulemans R, Dolman H, Field C, Grelle A, Ibrom A, Law BE, Kowalski A, Meyers T, et al. (2002). Energy balance closure at FLUXNET sites. Agricultural and Forest Meteorology, 113, 223-243.
DOI URL |
[26] |
Wutzler T, Lucas-Moffat A, Migliavacca M, Knauer J, Sickel K, Šigut L, Menzer O, Reichstein M (2018). Basic and extensible post-processing of eddy covariance flux data with REddyProc. Biogeosciences, 15, 5015-5030.
DOI URL |
[27] |
Yu HY, Xu ZZ, Zhou GS, Shi YH (2020). Soil carbon release responses to long-term versus short-term climatic warming in an arid ecosystem. Biogeosciences, 17, 781-792.
DOI URL |
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