Eddy Covariance Tilt Corrections over a Coastal Mountain Area in South-east China:Significance for Near-Surface Turbulence Characteristics

Turbulence characteristics of an atmospheric surface layer over a coastal mountain area were investigated under different coordinate frames. Performances of three methods of coordinate rotation： double rotation （DR）, triple rotation （TR）, and classic planar-fit rotation （PF） were examined in terms of correction of eddy covariance flux. Using the commonly used DR and TR methods, unreasonable rotation angles are encountered at low wind speeds and cause significant run-to-run errors of some turbulence characteristics. The PF method rotates the coordinate system to an ensemble-averaged plane, and shows large tilt error due to an inaccurate fit plane over variable terrain slopes. In this paper, we propose another coordinate rotation scheme. The observational data were separated into two groups according to wind direction. The PF method was adapted to find an ensemble-averaged streamline plane for each group of hourly runs with wind speed exceeding 1.0 m s-1. Then, the coordinate systems were rotated to their respective best- fit planes for all available hourly observations. We call this the PF10 method. The implications of tilt corrections for the turbulence characteristics are discussed with a focus on integral turbulence characteristics, the spectra of wind-velocity components, and sensible heat and momentum fluxes under various atmospheric stabilities. Our results show that the adapted application of PF provides greatly improved estimates of integral turbulence characteristics in complex terrain and maintains data quality. The comparisons of the sensible heat fluxes for four coordinate rotation methods to fluxes before correction indicate that the PF10 scheme is the best to preserve consistency between fluxes.

A Re-examination of Density Effects in Eddy Covariance Measurements of CO_2 Fluxes

Corrections of density effects resulting from air-parcel expansion/compression are important in interpreting eddy covariance fluxes of water vapor and CO2 when open-path systems are used. To account for these effects, mean vertical velocity and perturbation of the density of dry air are two critical parameters in treating those physical processes responsible for density variations. Based on various underlying assumptions, different studies have obtained different formulas for the mean vertical velocity and perturbation of the density of dry air, leading to a number of approaches to correct density effects. In this study, we re-examine physical processes related to different assumptions that are made to formulate the density effects. Specifically, we re-examine the assumptions of a zero dry air flux and a zero moist air flux in the surface layer, used for treating density variations, and their implications for correcting density effects. It is found that physical processes in relation to the assumption of a zero dry air flux account for the influence of dry air expansion/compression on density variations. Meanwhile, physical processes in relation to the assumption of a zero moist air flux account for the influence of moist air expansion/compression on density variations. In this study, we also re-examine mixing ratio issues. Our results indicate that the assumption of a zero dry air flux favors the use of the mixing ratio relative to dry air, while the assumption of a zero moist air flux favors the use of the mixing ratio relative to the total moist air. Additionally, we compare different formula for the mean vertical velocity, generated by air-parcel expansion/compression, and for density effect corrections using eddy covariance data measured over three boreal ecosystems.

Applicability of an eddy covariance system based on a close-path quantum cascade laser spectrometer for measuring nitrous oxide fluxes from subtropical vegetable fields

The soil of subtropical vegetable fields is an important source of the atmospheric greenhouse gas nitrous oxide（N2O）. In a field study in subtropical China, the authors used an eddy covariance（EC）system based on a close-path quantum cascade laser（QCL） spectrometer to measure N2O fluxes from a vegetable field. During the experimental period from 9 October 2014 to 18 February 2015,the observed half-hourly N2O fluxes ranged from.10.7 to 1077.4 μg N m^-2h^-1, with a mean value of99.3 μg N m^-2h^-1. The detection limit（95% confidence level） of the EC system for half-hourly fluxes was estimated at 18.5 μg N m^-2h^-1, i.e. smaller than 97.5% of all measured fluxes, and within the range of the lower limit of reported N2O emissions from subtropical vegetable fields. The random uncertainties in the half-hourly fluxes were estimated at 60% on average, of which 62% was due to stochastic variations caused by turbulence and 38% by instrumental noise. The flux systematic uncertainties were estimated at.18% on average, mainly due to the spectral attenuation; however,this negative bias had already been corrected for by calculating half-hourly fluxes. In conclusion,the close-path QCL-based EC technique is capable of measuring the N2O fluxes from the subtropical vegetable fields of China with high reliability and accuracy.

Sensitivity of Near Real-time MODIS Gross Primary Productivity in Terrestrial Forests Based on Eddy Covariance Measurements

As an important product of Moderate Resolution Imaging Spectroradiometer(MODIS), MOD17A2 provides dramatic improvements in our ability to accurately and continuously monitor global terrestrial primary production, which is also significant in effort to advance scientific research and eco-environmental management. Over the past decades, forests have moderated climate change by sequestrating about one-quarter of the carbon emitted by human activities through fossil fuels burning and land use/land cover change. Thus, the carbon uptake by forests reduces the rate at which carbon accumulates in the atmosphere. However, the sensitivity of near real-time MODIS gross primary productivity(GPP) product is directly constrained by uncertainties in the modeling process, especially in complicated forest ecosystems. Although there have been plenty of studies to verify MODIS GPP with ground-based measurements using the eddy covariance(EC) technique, few have comprehensively validated the performance of MODIS estimates(Collection 5) across diverse forest types. Therefore, the present study examined the degree of correspondence between MODIS-derived GPP and EC-measured GPP at seasonal and interannual time scales for the main forest ecosystems, including evergreen broadleaf forest(EBF), evergreen needleleaf forest(ENF), deciduous broadleaf forest(DBF), and mixed forest(MF) relying on 16 flux towers with a total of 68 site-year datasets. Overall, site-specific evaluation of multi-year mean annual GPP estimates indicates that the current MOD17A2 product works highly effectively for MF and DBF, moderately effectively for ENF, and ineffectively for EBF. Except for tropical forest, MODIS estimates could capture the broad trends of GPP at 8-day time scale for all other sites surveyed. On the annual time scale, the best performance was observed in MF, followed by ENF, DBF, and EBF. Trend analyses also revealed the poor performance of MODIS GPP product in EBF and DBF. Thus, improvements in the sensitivity of MOD17A2 to forest productivity require continued efforts.

Eddy covariance measurements of water vapor and energy flux over a lake in the Badain Jaran Desert,China

Exploring the surface energy exchange between atmosphere and water bodies is essential to gain a quantitative understanding of regional climate change, especially for the lakes in the desert. In this study, measurements of energy flux and water vapor were performed over a lake in the Badain Jaran Desert, China from March 2012 to March 2013. The studied lake had about a 2-month frozen period （December and January） and a 10-month open-water period （February-November）. Latent heat flux （LE） and sensible heat flux （Hs） acquired using the eddy covariance technique were argued by measurements of long＇wave and shortwave radiation. Both fluxes of longwave and shortwave radiation showed seasonal dynamics and daily fluctuations during the study period. The reflected solar radiation was much higher in winter than in other seasons. LE exhibited diurnal and seasonal variations. On a daily scale, LE was low in the morning and peaked in the afternoon. From spring （April） to winter （January）, the diurnal amplitude of LE decreased slowly. LE was the dominant heat flux throughout the year and consumed most of the energy from the lake. Generally speaking, LE was mostly affected by changes in the ambient wind speed, while Hs was primarily affected by the product of water-air temperature difference and wind speed. The diurnal LE and Hs were negatively correlated in the open-water period. The variations in Hs and LE over the lake were differed from those on the nearby land surface. The mean evaporation rate on the lake was about 4.0 mm/d over the entire year, and the cumulative annual evaporation rate was 1445 mm/a. The cumulative annual evaporation was 10 times larger than the cumulative annual precipitation. Furthermore, the average evaporation rates over the frozen period and open-water period were approximately 0.6 and 5.0 mm/d, respectively. These results can be used to analyze the water balance and quantify the source of lake water in the Badain Jaran Desert.

Multi-level CO_(2) fluxes over Beijing megacity with the eddy covariance method

Based on five years of eddy covariance measurements at multiple levels(47,140,and 280 m)of Beijing's 325-m meteorological tower,the exchange process of CO_(2) fluxes between the atmosphere and urban surface were investigated.As a result of the total vehicle control policy from 2011 in Beijing,the growth rate of annual total CO_(2) flux at 140 m is 7.8% from 2008-2010 but 2.3%from 2010-2012.With the minimum vegetation cover and largest population density,the 5-yr average annual total CO_(2) flux at 140 m is largest(6.41 kg C m^(−2) yr^(−1)),compared with that at 47 m(5.78 kg C m^(−2) yr^(−1))and 280 m(3.99 kg C m^(−2) yr^(−1)).With regards to annual total CO_(2) fluxes in Beijing,vehicle numbers and population are the main controlling factors.The measured CO_(2) fluxes were highly dependent on land cover/use in the prevailing wind direction.The CO_(2) fluxes at three layers all correlated positively with road fraction,with the R2 values being 0.69,0.57,and 0.54(P<0.05),respectively.The decreasing fraction of vegetation caused an increasing of the annual total CO_(2) flux,and there was an exponential relationship between them.The annual total CO_(2) fluxes were larger with higher population density.

Impact of Sky Conditions on Net Ecosystem Productivity over a “Floating Blanket” Wetland in Southwest China

Based on eddy covariance(EC) measurements during 2016–20, the effects of sky conditions on the net ecosystem productivity(NEP) over a subtropical “floating blanket ” wetland were investigated. Sky conditions were divided into overcast, cloudy, and sunny conditions. On the half-hourly timescale, the daytime NEP responded more rapidly to the changes in the total photosynthetic active radiation(PARt) under overcast and cloudy skies than that under sunny skies. The increase in the apparent quantum yield under overcast and cloudy conditions was the greatest in spring and the least in summer. Additionally, lower atmospheric vapor pressure deficit(VPD) and moderate air temperature were more conducive to enhancing the apparent quantum yield under cloudy skies. On the daily timescale, NEP and the gross primary production(GPP) were higher under cloudy or sunny conditions than those under overcast conditions across seasons. The daily NEP and GPP during the wet season peaked under cloudy skies. The daily ecosystem light use efficiency(LUE) and water use efficiency(WUE) during the wet season also changed with sky conditions and reached their maximum under overcast and cloudy skies, respectively. The diffuse photosynthetic active radiation(PAR_d) and air temperature were primarily responsible for the variation of daily NEP from half-hourly to monthly timescales, and the direct photosynthetic active radiation(PAR_b) had a secondary effect on NEP. Under sunny conditions, PAR_b and air temperature were the dominant factors controlling daily NEP. While daily NEP was mainly controlled by PAR_d under cloudy and overcast conditions.

Spatiotemporal Variability and Environmental Controls of Temperature Sensitivity of Ecosystem Respiration across the Tibetan Plateau

Warming-induced carbon loss via ecosystem respiration(R_(e))is probably intensifying in the alpine grassland ecosystem of the Tibetan Plateau owing to more accelerated warming and the higher temperature sensitivity of R_(e)(Q_(10)).However,little is known about the patterns and controlling factors of Q_(10)on the plateau,impeding the comprehension of the intensity of terrestrial carbon-climate feedbacks for these sensitive and vulnerable ecosystems.Here,we synthesized and analyzed multiyear observations from 14 sites to systematically compare the spatiotemporal variations of Q_(10)values in diverse climate zones and ecosystems,and further explore the relationships between Q_(10)and environmental factors.Moreover,structural equation modeling was utilized to identify the direct and indirect factors predicting Q_(10)values during the annual,growing,and non-growing seasons.The results indicated that the estimated Q_(10)values were strongly dependent on temperature,generally,with the average Q_(10)during different time periods increasing with air temperature and soil temperature at different measurement depths(5 cm,10 cm,20 cm).The Q_(10)values differentiated among ecosystems and climatic zones,with warming-induced Q_(10)declines being stronger in colder regions than elsewhere based on spatial patterns.NDVI was the most cardinal factor in predicting annual Q_(10)values,significantly and positively correlated with Q_(10).Soil temperature(Ts)was identified as the other powerful predictor for Q_(10),and the negative Q_(10)-Ts relationship demonstrates a larger terrestrial carbon loss potentiality in colder than in warmer regions in response to global warming.Note that the interpretations of the effect of soil moisture on Q_(10)were complicated,reflected in a significant positive relationship between Q_(10)and soil moisture during the growing season and a strong quadratic correlation between the two during the annual and non-growing season.These findings are conducive to improving our understanding of alpine grassland ecosystem carbon-climate feedbacks under warming climates.

Assessment of CH_(4) flux and its influencing drivers in the rice-wheat agroecosystem of the Huai River Basin,China

To understand the CH_(4) flux variations and their climatic drivers in the rice-wheat agroecosystem in the Huai River Basin of China,the CH_(4) flux was observed by using open-path eddy covariance at a typical rice-wheat rotation system in Anhui Province,China from November 2019 to October 2021.The variations and their drivers were then analyzed with the Akaike information criterion method.CH_(4) flux showed distinct diurnal variations with single peaks during 9:00-13:00 local time.The highest peak was 2.15μg m^(-2)s^(-1)which occurred at 11:00 in the vegetative growth stage in the rice growing season(RGS).CH_(4) flux also showed significant seasonal variations.The average CH_(4)flux in the vegetative growth stage in the RGS(193.8±74.2 mg m^(-2)d^(-1))was the highest among all growth stages.The annual total CH_(4) flux in the non-rice growing season(3.2 g m^(-2))was relatively small compared to that in the RGS(23.9 g m^(-2)).CH_(4) flux increased significantly with increase in air temperature,soil temperature,and soil water content in both the RGS and the non-RGS,while it decreased significantly with increase in vapor pressure deficit in the RGS.This study provided a comprehensive understanding of the CH_(4) flux and its drivers in the rice-wheat rotation agroecosystem in the Huai River Basin of China.In addition,our findings will be helpful for the validation and adjustment of the CH_(4) models in this region.

Eddy covariance measurements of turbulent fluxes in the surf zone

Turbulent eddies play a critical role in oceanic flows. Direct measurements of turbulent eddy fluxes beneath the sea surface were taken to study the direction of flux-carrying eddies as a means of supplementing our understanding of vertical fluxes exchange processes and their relationship to tides. The observations were made at 32 Hz at a water depth of ~1.5 m near the coast of Sanya, China, using an eddy covariance system, which mainly consists of an acoustic doppler velocimeter(ADV) and a fast temperature sensor. The cospectra-fit method-an established semi-empirical model of boundary layer turbulence to the measured turbulent cospectra at frequencies below those of surface gravity waves-was used in the presence of surface gravity waves to quantify the turbulent eddy fluxes(including turbulent heat flux and Reynolds stress). As much as 87% of the total turbulent stress and 88% of the total turbulent heat flux were determined as being at band frequencies below those of surface gravity waves. Both the turbulent heat flux and Reynolds stress showed a daily successive variation;the former peaked during the low tide period and the later peaked during the ebb tide period.Estimation of roll-off wavenumbers, k0, and roll-off wavelengths, λ0(where λ0=2π/k0), which were estimated as the horizontal length scales of the dominant flux-carrying turbulent eddies, indicated that the λ0 of the turbulent heat flux was approximately double that of the Reynolds stress. Wavelet analysis showed that both the turbulent heat flux and the Reynolds stress have a close relationship to the semi-diurnal and diurnal tides, and therefore indicate the energy that is transported from tides to turbulence.

A Synoptic Snapshot of the East Cape Eddy(ECE)

A synoptic snapshot in this study is made for the East Cape Eddy (ECE) basedon the World Ocean Circulation Experiment (WOCE) P14C Hydrographic Section and Shipboard ADCPvelocity vector data collected in September 1992. The ECE is an anticyclonic eddy, barotropicallystructured and centered at 33.64°S and 176.21°E, with warm and salinous-cored subsurface water.The radius of the eddy is of the order O (110 km) and the maximum circumferential velocity is O (40cm s^(-1)); as a result, the relative vorticity is estimated to be O (7 x 10^(-6)s^(-1)). Due to theexistence of the ECE, the mixed layer north of New Zealand becomes deeper, reaching a depth of 300m in the austral winter. The ECE plays an important role in the formation and distribution of theSubtropical Mode Water (STMW) over a considerable area in the South Pacific.

基于REddyProc的干旱区枣林通量数据插补及能量平衡分析

【目的】获取完整且有效的枣林通量数据,分析生态系统能量平衡,为评估干旱区枣林生态系统与大气间的能量和物质交换提供理论依据。【方法】选择R语言REddyProc包插补涡度相关法测量的通量数据,采用交叉验证法和能量平衡闭合度评价插补数据质量,并修正热储存项,分析2018、2019年新疆阿克苏地区枣林能量平衡闭合度与能量变化趋势。【结果】1)REddyProc包插补通量数据效果较好,交叉验证的误差统计参数为回归系数b=0.86~0.99、决定系数R^(2)=0.86~0.95、一致性指数d=0.96~0.98、模拟效率EF=0.84~0.92、均方根误差与观测值标准差比率RSR=0.28~0.40;2)经REddyProc包插补后,2018、2019年干旱区枣林能量平衡闭合度分别为73.45%、73.11%,有效能量和可利用能量的决定系数均为0.97;加入热储存项后,能量闭合度分别提高3.72%、2.75%,达77.17%、75.86%,增幅较小;3)各能量分项(净辐射、潜热通量、显热通量、土壤热通量)的日均变化规律在生育期和休眠期相似,日均变化均呈以净辐射变化规律为基础的单峰变化。【结论】干旱区枣林全年能量平衡闭合度符合ChinaFlux范围,热储存项对改善枣林能量平衡闭合度有一定影响,可为研究枣林能量和物质交换提供理论依据。

2013-2020年海河流域农田水热碳通量及气象要素观测数据集

本研究以海河流域官厅水库旁农田生态系统为研究对象,采用蒸渗仪、涡动相关仪、大孔径闪烁仪和自动气象站/气象要素梯度等观测系统,开展农田生态系统多尺度通量和气象要素的长期定位观测。本数据集由多尺度通量(米,百米,公里级)和气象要素数据组成,观测项目包括生态系统净碳交换量、潜热通量/蒸散发、感热通量、空气温度、空气相对湿度、风速、风向、向下/上短波辐射、向下/上长波辐射、净辐射、大气压、降水、红外辐射温度、光合有效辐射、土壤温度、土壤水分、土壤热通量、平均土壤温度等。本数据集经过了严格的处理和质量控制,可用于研究水库消涨对周边生态系统碳水等物质和能量的循环带来的影响,也可为相关遥感模型或过程模型等研究提供有力的数据基础。

广东湛江桉树人工林碳水通量季节格局及其环境生物控制

【目的】量化桉树人工林生态系统的碳水通量和组分并揭示其受环境生物因子的调控作用,为提高人工林碳汇评估准确性及深入认识气候变化背景下环境生物因子对人工林碳循环过程的影响提供依据。【方法】在雷州半岛北部,采用涡度相关法(EC)测定桉树人工林碳水通量,并同步监测空气温度(Tair)、饱和水汽压差(VPD)、光合光量子通量密度(PPFD)、土壤温度(Tsoil)、土壤湿度(SM)、降水量(Pre)和归一化植被指数(NDVI)等环境生物因子,分析碳水通量和组分的时间变化及其与环境生物因子的关系。【结果】桉树人工林生态系统总初级生产力(GPP)年均值为2907.87 g·m^(-2)a^(-1)、生态系统呼吸(RE)年均值为1509.77 g·m^(-2)a^(-1)、净生态系统碳交换(NEE)年均值为-1398.83 g·m^(-2)a^(-1)、生态系统蒸散(ET)年均值为1069.25 mm,表现为碳汇。GPP、RE、NEE、ET昼夜变化呈非对称单峰趋势,峰值和日均值的绝对值均表现为雨季高于旱季。雨季的GPP、RE、ET累积值高于旱季,NEE累积值在旱季和雨季无明显差异。日间NEE变化的主要影响因子为PPFD,当VPD≥15 hPa时NEE积累受到抑制,气温在中等水平(20℃air<27℃)时净碳吸收能力最强。夜间NEE变化主要受Tair影响,SM会影响NEE对Tair响应的敏感性。水分利用效率(WUE)在旱季(3.85 g·kg^(-1))高于雨季(2.61 g·kg^(-1)),年均值为3.22 g·kg^(-1),季节差异主要由ET主导,与Tair、VPD、PPFD存在显著负相关(P<0.05)。【结论】桉树人工林生态系统在旱季、雨季和全年均表现为碳汇,其碳汇状态和强度由GPP主导。NEE变化主要受PPFD调控,高VPD会抑制生态系统净碳吸收,中等水平温度时生态系统净碳吸收能力最强,SM会影响夜间NEE对Tair响应的敏感性。桉树人工林WUE旱季高于雨季,季节差异主要由ET主导,同时受到Tair、VPD、PPFD的共同影响。

我国东部山地针阔混交林碳通量特征分析

以浙江省金华市武义县大毛尖山为研究区域,开展复杂山地森林生态系统碳汇能力的观测研究,并利用涡动相关法在2022年6月~2023年5月进行观测,经过数据质量控制和质量评价分析,得到42%的优质CO_(2)通量数据.结果表明,大毛尖山周边以针阔混交林为主,能量闭合度为0.89,能够很好的代表站点通量情况.CO_(2)通量在日尺度上均表现为U型变化,范围为-1.20~0.89mgCO_(2)/(m^(2)·s).四季碳汇能力强弱依次为,夏季、春季、秋季、冬季;各月份净生态系统碳交换量(NEE)均为负值,整体表现为碳汇.CO_(2)通量与气象因子中的空气温度呈负相关,相对湿度和平均风速正相关,夜间因呼吸作用产生的CO_(2)通量与土壤温度正相关.本研究初步解释了大毛尖山森林生态系统的碳汇特征.

青藏高原东南缘不同类型生态系统碳、水交换特征

青藏高原东南缘横断山脉地区是南亚和东亚季风的交汇处,也是大气变化的敏感区和热源区。开展该地区地气相互作用对区域水热过程影响机制及其参数化研究,对于研究青藏高原大气水汽传输的关键过程问题有重大意义。本文介绍了基于涡动观测法开展的青藏高原东南缘地区的地气相互作用观测试验,并总结了洱海湖面、丽江高山草甸及腾冲北海湿地的地气交换特征,以及利用数值模式开展复杂山地局地环流特征的研究工作。目前已初步明确和揭示青藏高原东南缘横断山脉不同类型下垫面的地气交换特征及其影响因素,主要结论如下:青藏高原东南缘高山草甸的碳、水交换过程受降水分布影响显著,“浮毯型”湿地(水面常年覆盖有“浮毯”状苔草草排)的碳、水交换除了受气象因素影响外,也受到下垫面植被和水体比例变化的影响。不同类型生态系统的碳、水交换过程在不同时间尺度的影响因子存在差别。风速始终是湖泊潜热和CO_(2)交换的关键影响因子,而降水在较长时间尺度对湖泊CO_(2)通量也有显著影响。此外,青藏高原东南缘的复杂地形对于生态系统的碳、水交换过程也有显著影响。复杂地形产生的不同类型的局地环流对于生态系统的碳、水交换过程有不同的影响。

2019-2022年甘肃瓜州极旱荒漠生态系统碳水通量观测数据集

极旱荒漠生态系统通常位于干旱地区,降水量较低并伴有高温现象,其原生植被具有较高适应性,是极端环境条件下的特殊生态系统类型。极旱荒漠生态系统在帮助保持土壤稳定性、防止土壤侵蚀、维持独特生物多样性等方面发挥着一定作用,在全球生态系统中具有独特而重要的地位。了解中国西北极旱荒漠生态系统碳水通量特征对于研究极旱荒漠生态系统在全球碳水循环中的作用具有重要意义。本数据集为甘肃瓜州极旱荒漠生态系统野外科学观测研究站(以下简称瓜州站)所收集的2019年1月1日至2022年12月31日的日尺度碳水通量观测数据集。采用涡动相关通量观测技术对该生态系统碳水通量进行野外观测,使用ChinaFLUX数据处理技术标准对原始数据进行校正、质量控制和数据插补最终形成日尺度数据集。本数据集包括净生态系统碳交换量(NEE)、生态系统总初级生产力(GPP)、生态系统呼吸(ER)、水通量(FH2O)、土壤热通量(SHF)、蒸散发(ET)、显热通量(H)、潜热通量(LE)和太阳辐射(R_(g))、气温(T_(air))、露点温度(T_(dew))、土壤含水量(SWC)、光量子通量密度(PPFD)、相对湿度(RH)、饱和水汽压差(VPD)、降水(P)等关键气象环境观测数据。本数据集可为深入研究极旱荒漠生态系统在全球碳水循环中的作用与地位提供宝贵的数据基础。

2004-2010年上海崇明东滩湿地生态系统CO_(2)通量数据集

作为微气象学的经典方法之一,涡度相关技术已成为观测陆地生态系统与大气间CO_(2)、水热通量交换的主要手段。本数据集为上海长江河口湿地生态系统国家野外科学观测研究站在上海崇明东滩湿地于2004年9月至2010年12月期间观测累积的通量数据,时间分辨率为半小时,数据项包括气温(T_air)、相对湿度(RH)、土温(T_soil)、光合有效辐射(PAR)、总辐射(Solar)、净辐射(Rn)、降雨量(Precip)、感热通量(Hs)、潜热通量(LE)和二氧化碳净交换量(NEECO_(2))等。本研究观测的生态系统为典型亚热带滨海盐沼类型,优势植物为芦苇和互花米草。本数据集的观测系统架设、设备维护和数据质量控制及处理等均按照FLUXNET规范,数据可靠性高,可为中国滨海盐沼的碳收支、蓝碳估算及生物入侵影响评估等相关研究提供扎实的数据支持。

2011-2020年河南小浪底栓皮栎人工林生态系统碳通量日数据集

我国人工林面积居世界首位,在缓解气候变化和区域碳循环中具有重要作用。南太行地区是我国黄河重点生态区的重要组成部分,在该区域开展人工林通量观测研究对于理解黄河重点生态区气候变化对森林碳汇的影响机制具有重要意义。栓皮栎(Quercus variabilis)是我国天然分布最广的树种之一,也是山区的主要造林树种,具有极高的经济价值和生态价值。本数据集为河南小浪底森林生态系统国家野外科学观测研究站(简称小浪底站)自2011年累计的栓皮栎人工林生态系统日尺度碳通量数据产品,时间范围为2011年1月至2020年12月,数据指标包含净生态系统碳交换量(NEE)、生态系统呼吸(RE)和生态系统总初级生产力(GPP),数据处理参考了中国陆地生态系统通量观测研究网络(ChinaFLUX)质量控制和处理规范。本数据集可为分析该区域人工林对全球气候变化的响应及其机制提供支撑,也可为黄河重点生态区人工林碳汇管理提供数据基础。

Carbon fluxes and their response to environmental variables in a Dahurian larch forest ecosystem in northeast China

The Dahurian larch forest in northeast China is important due to its vastness and location within a transitional zone from boreal to temperate and at the southern distribution edge of the vast Siberian larch forest. The continuous carbon fluxes were measured from May 2004 to April 2005 in the Dahurian larch forest in Northeast China using an eddy covariance method. The results showed that the ecosystem released carbon in the dormant season from mid-October 2004 to April 2005, while it assimilated CO2 from the atmosphere in the growing season from May to September 2004. The net carbon sequestration reached its peak of 112 g.m^-2.month ^-1 in June 2004 （simplified expression of g （carbon）.m^-2.month^-1） and then gradually decreased. Annually, the larch forest was a carbon sink that sequestered carbon of 146 g-m^-2.a^-1 （simplified expression of g （carbon）.m^-2.a^-1） during the measurements. The photosynthetic process of the larch forest ecosystem was largely affected by the vapor pressure deficit （VPD） and temperature. Under humid conditions （VPD 〈 1.0 kPa）, the gross ecosystem production （GEP） increased with increasing temperature. But the net ecosystem production （NEP） showed almost no change with increasing temperature because the increment of GEP was counterbalanced by that of the ecosystem respiration. Under a dry environment （VPD 〉 1.0 kPa）, the GEP decreased with the increasing VPD at a rate of 3.0 μmol.m^-2.s^-1kPa -1 and the ecosystem respiration was also enhanced simultaneously due to the increase of air temperature, which was linearly correlated with the VPD. As a result, the net ecosystem carbon sequestration rapidly decreased with the increasing VPD at a rate of 5.2 μmol.m^-2.s-1.kPa^-1. Under humid conditions （VPD 〈 1.0 kPa）, both the GEP and NEP were obviously restricted by the low air temperature but were insensitive to the high temperature because the observed high temperature value comes within the category of the optimum range.