2012-2016年宁夏盐池毛乌素沙地黑沙蒿灌丛生态系统通量观测数据集

doi:10.17521/cjpe.2023.0001

植物生态学报 ›› 2023, Vol. 47 ›› Issue (9): 1322-1332.DOI: 10.17521/cjpe.2023.0001

所属专题：全球变化与生态系统；生态系统碳水能量通量

• 数据论文 • 上一篇

2012-2016年宁夏盐池毛乌素沙地黑沙蒿灌丛生态系统通量观测数据集

韩聪¹, 母艳梅¹, 查天山¹^,², 秦树高¹^,², 刘鹏¹^,², 田赟¹^,², 贾昕¹^,²^,^*()

¹北京林业大学水土保持学院, 宁夏盐池毛乌素沙地生态系统国家定位观测研究站, 北京 100083
²北京林业大学水土保持国家林业和草原局重点实验室, 北京 100083

收稿日期:2023-01-02 接受日期:2023-03-06 出版日期:2023-09-20 发布日期:2023-09-28
通讯作者: * 贾昕 ORCID:0000-0003-4800-4273 (xinjia@bjfu.edu.cn)
作者简介:ORCID:韩聪: 0000-0001-6865-3380
基金资助:
国家生态科学数据中心(NESDC20210101);国家自然科学基金(32071843);国家自然科学基金(32101588);国家自然科学基金(32071842);国家自然科学基金(31901366);中央高校基本科研业务费专项资金(PTYX202122);中央高校基本科研业务费专项资金(PTYX202123)

A dataset of ecosystem fluxes in a shrubland ecosystem of Mau Us Sandy Land in Yanchi, Ningxia, China (2012-2016)

HAN Cong¹, MU Yan-Mei¹, ZHA Tian-Shan¹^,², QIN Shu-Gao¹^,², LIU Peng¹^,², TIAN Yun¹^,², JIA Xin¹^,²^,^*()

¹Yanchi Research Station, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
²Key Laboratory of State Forestry and Grassland Administration on Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China

Received:2023-01-02 Accepted:2023-03-06 Online:2023-09-20 Published:2023-09-28
Contact: * JIA Xin(xinjia@bjfu.edu.cn)
Supported by:
National Ecosystem Science Data Center(NESDC20210101);National Natural Science Foundation of China(32071843);National Natural Science Foundation of China(32101588);National Natural Science Foundation of China(32071842);National Natural Science Foundation of China(31901366);Fundamental Research Funds for the Central Universities(PTYX202122);Fundamental Research Funds for the Central Universities(PTYX202123)

1. 附录宁夏盐池毛乌素沙地黑沙蒿灌丛生态系统通量观测数据集(2012–2016).zip(21870KB)

摘要/Abstract

摘要：

干旱、半干旱区分布广泛, 是陆地生态系统的重要组成部分, 半干旱生态系统对全球碳水循环的长期趋势和年际变异具有重要的调控作用。已有关于陆地生态系统碳水循环的机理研究和数据产品研制大多关注森林、草原和农田等生态系统类型, 针对沙地灌丛的研究仍相对较少, 数据可利用性较低, 制约着区域生态功能的准确评估和预测。自2011年起, 采用涡度协方差法对黑沙蒿(Artemisia ordosica)灌丛生态系统碳水热通量开展了长期连续观测。该研究通过对2012-2016年原始数据进行通量计算、质量控制、缺失值插补和碳通量拆分等处理步骤, 生成各时间尺度(半小时、日、月、年)生态系统碳水热通量观测数据集, 同时整理并生成相对应的微气象数据集。数据集包括生态系统净CO₂交换(NEE)、总初级生产力(GPP)、生态系统呼吸(Re)、潜热通量(LE)和显热通量(Hs)以及相关微气象观测指标。数据集的有效数据占比和能量闭合程度分析表明: (1)质量控制后的有效NEE、LE和Hs半小时数据全年占比分别为56.23%-62.19%、79.40%-94.12%和77.56%-91.27%; (2)在年尺度和月尺度的能量平衡比率变化范围分别为0.78-0.83和0.59-1.19; (3)基于逐日数据, 采用最小二乘回归(LE + Hs vs. Rn - G; Rn为净辐射, G为土壤热通量)分析能量闭合程度, 不同年份间和不同季节间的回归斜率变化范围分别为0.73-0.79和0.73-0.92。上述结果表明, 本数据集有效数据占比高, 能量闭合程度处于合理范围, 能够为不同时空尺度生态系统过程与功能研究提供较好的数据支撑。

关键词: 碳水通量, 能量平衡, 涡度协方差, 毛乌素沙地, 半干旱灌丛

Abstract:

Arid and semi-arid ecosystem areas, which constitute an important component of the global land surface, act to regulate the long-term trend and interannual variations in global carbon and water cycles. Previous studies on the mechanisms underlying ecosystem carbon and water cycling and the development of relevant data products focus primarily on forest, grassland, and cropland ecosystems, with few research attention given to semi-arid shrublands. This research gap hinders the evaluation and projection of ecosystem functions at the regional scale. Since 2011, we used the eddy covariance technique to make continuous in situ measurements of carbon, water and heat fluxes in a shrubland ecosystem at Yanchi Research Station, the Mau Us Sandy Land. Data processing steps mainly included data collection, post-processing of raw data, quality control, gap-filling and carbon flux partitioning. We produced flux and micro-meteorological datasets at half-hourly, daily, monthly, and annual temporal resolutions for the years 2012-2016, and analyzed the overall quality of the datasets in terms of the proportion of valid data and the energy balance closure of flux measurements. Results showed: (1) After quality control, the proportion of valid data for half-hour net ecosystem CO₂ exchange (NEE), latent heat flux (LE), and sensible heat flux (Hs) was 56.23%-62.19%, 79.40%-94.12%, and 77.56%-91.27%, respectively. (2) Annual and monthly energy balance ratio ranged 0.78-0.83 and 0.59-1.19, respectively. (3) The energy balance closure estimated using the “ordinary least squares” regression method showed that the interannual and seasonal variations in the slope of regression curves varied with a range of 0.73-0.79 at interannual scale and 0.73-0.92 at seasonal scale, respectively. These results indicate that our datasets have a high proportion of valid data and a reasonable energy balance closure, and thus can be used in studies related to ecosystem processes and functions at varing spatio-temporal scales.

Key words: cabon and water fluxes, energy balance, eddy covariance, Mau Us Sandy Land, semi-arid shrubland

韩聪, 母艳梅, 查天山, 秦树高, 刘鹏, 田赟, 贾昕. 2012-2016年宁夏盐池毛乌素沙地黑沙蒿灌丛生态系统通量观测数据集. 植物生态学报, 2023, 47(9): 1322-1332. DOI: 10.17521/cjpe.2023.0001

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). Chinese Journal of Plant Ecology, 2023, 47(9): 1322-1332. DOI: 10.17521/cjpe.2023.0001

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链接本文: https://www.plant-ecology.com/CN/10.17521/cjpe.2023.0001

https://www.plant-ecology.com/CN/Y2023/V47/I9/1322

图/表 10

参考文献 27

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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)

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

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	℃	距地表10 cm土壤温度 Soil temperature 10 cm underground
二层土壤(30 cm)温度 30 cm soil temperature	℃	距地表30 cm土壤温度 Soil temperature 30 cm underground
一层土壤(10 cm)含水量 10 cm soil water content	m³·m^-3	距地表10 cm土壤水分 Soil water content 10 cm underground
二层土壤(30 cm)含水量 30 cm soil water content	m³·m^-3	距地表30 cm土壤水分 Soil water content 30 cm underground
降雨量 Rainfall	mm	降雨量 Rainfall

2012-2016年宁夏盐池毛乌素沙地黑沙蒿灌丛生态系统通量观测数据集

A dataset of ecosystem fluxes in a shrubland ecosystem of Mau Us Sandy Land in Yanchi, Ningxia, China (2012-2016)

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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

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月份 Month	年份 Year					平均 Mean
月份 Month	2012	2013	2014	2015	2016	平均 Mean
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

月份 Month	年份 Year					平均 Mean
月份 Month	2012	2013	2014	2015	2016	平均 Mean
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