基于变分方法的内蒙古典型草原水热通量估算

利用内蒙古典型草原生长季(2004年8月13～18日、2005年5月21～26日)和非生长季(2004年12月10～15日)共18 d的涡动相关系统观测资料(10 Hz输出1次)和小气候梯度系统在线输出资料(0.5 h输出1次),分析了变分方法对草原陆气通量估算的准确性.结果表明,变分法估算的感热与潜热通量与涡动相关法观测结果的变化趋势较为一致,且能量闭合程度更高.变分法计算的感热通量在白天明显地较涡动相关法得到的通量值高,12:00前后两者通量都达到峰值,两者之差也达到峰值,而夜间则较为接近;变分法计算的潜热通量曲线的相位略微落后于涡动相关法的通量曲线,且夜间的涡动相关法测得的潜热通量负值极少,负值通量的绝对值也很小.这表明夜间大气稳定导致涡动相关法存在一定程度的通量低估现象.变分法与波文比能量平衡法对陆气通量的估算比较表明,变分法可避免能量平衡法计算不稳定导致的虚假峰值现象,计算结果较为稳定.     

森林生态系统CO2通量的研究方法及研究进展

介绍了测量森林生态系统CO2通量的微气象法和箱式法。其中,微气象学方法着重介绍了涡旋相关法和驰豫涡旋积累法的基本原理及数据分析过程中应注意的问题。并简要介绍了能量平衡法和空气动力学法。箱式法主要介绍了其测定基本原理和数据的模型化处理及应注意的问题。同时,对近年来欧洲和美洲在森林生态系统CO2通量研究中所取得的进展进行了概述。     

盘锦芦苇湿地空气动力学参数动态及其影响因子

应用盘锦芦苇生态系统观测场的涡动相关通量和小气候梯度系统的观测资料,采用涡动相关与小气候梯度观测相结合的方法估算了研究区芦苇下垫面空气动力学参数,并分析了其影响因素.结果表明：该方法可较好地估算芦苇湿地的空气动力学参数;芦苇湿地零平面位移（d）和粗糙度（z₀）的季节变化均呈先增后减的单峰曲线变化. z₀和d均在9月达到最大,分别为0.24和1.85 m; 12月达最小,分别为0.03和0.02 m.芦苇湿地z₀和d的季节变化主要受株高(h)和叶面积指数(LAI)的影响. d随h的增加而线性增加,z₀与h呈二次曲线关系.d/h和z₀/h均与LAI呈幂函数关系,复相关系数分别为0.99和0.78.     

Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future

The eddy covariance technique ascertains the exchange rate of CO₂ across the interface between the atmosphere and a plant canopy by measuring the covariance between fluctuations in vertical wind velocity and CO₂ mixing ratio. Two decades ago, the method was employed to study CO₂ exchange of agricultural crops under ideal conditions during short field campaigns. During the past decade the eddy covariance method has emerged as an important tool for evaluating fluxes of carbon dioxide between terrestrial ecosystems and the atmosphere over the course of a year, and more. At present, the method is being applied in a nearly continuous mode to study carbon dioxide and water vapor exchange at over a hundred and eighty field sites, worldwide. The objective of this review is to assess the eddy covariance method as it is being applied by the global change community on increasingly longer time scales and over less than ideal surfaces. The eddy covariance method is most accurate when the atmospheric conditions (wind, temperature, humidity, CO₂) are steady, the underlying vegetation is homogeneous and it is situated on flat terrain for an extended distance upwind. When the eddy covariance method is applied over natural and complex landscapes or during atmospheric conditions that vary with time, the quantification of CO₂ exchange between the biosphere and atmosphere must include measurements of atmospheric storage, flux divergence and advection. Averaging CO₂ flux measurements over long periods (days to year) reduces random sampling error to relatively small values. Unfortunately, data gaps are inevitable when constructing long data records. Data gaps are generally filled with values produced from statistical and empirical models to produce daily and annual sums of CO₂ exchange. Filling data gaps with empirical estimates do not introduce significant bias errors because the empirical algorithms are derived from large statistical populations. On the other hand, flux measurement errors can be biased at night when winds are light and intermittent. Nighttime bias errors tend to produce an underestimate in the measurement of ecosystem respiration. Despite the sources of errors associated with long‐term eddy flux measurements, many investigators are producing defensible estimates of annual carbon exchange. When measurements come from nearly ideal sites the error bound on the net annual exchange of CO₂ is less than ±50 g C m^?2 yr^?1. Additional confidence in long‐term measurements is growing because investigators are producing values of net ecosystem productivity that are converging with independent values produced by measuring changes in biomass and soil carbon, as long as the biomass inventory studies are conducted over multiple years.     

绿洲荒漠过渡带风况对波文比和蒸散发的影响

波文比-能量平衡法是目前蒸散发研究常用的方法之一。在利用波文比-能量平衡法对荒漠地区,尤其对绿洲荒漠过渡带的蒸散发进行研究时,发现有波文比波动大、蒸散发结果准确性不高等问题。如何提高波文比-能量平衡法在绿洲荒漠过渡带的准确性成为荒漠干旱区精确研究水分收支急需解决的问题。在以前的研究基础上,发现绿洲荒漠过渡带的不同风况对波文比有不同影响,这可能是造成波文比-能量平衡法在绿洲荒漠过渡带精度不高的主要原因。为了证明这个假设,于2010—2012年在西北民勤绿洲荒漠过渡带进行了野外连续观测,观测了不同风况条件下波文比、不同高度的温度差、湿度差以及蒸散发的变化规律,分析了它们的特征及其影响因素。结果表明,研究区观测期内波文比值在-17.3—16.2范围内变化,波动较大,呈"U"型变化,生长季中期波文比值低于初期和末期;在无风天气,绿洲荒漠过渡带温度、湿度梯度不受水平气流的影响,波文比波动小,异常值少,波文比方法测算出的蒸散量较为准确,能够代表实际蒸散量,所测得民勤绿洲荒漠过渡带波文比日均值为0.07,日蒸散量为1.6mm/d;在绿洲风和荒漠风天气,绿洲荒漠过渡带空气温度、湿度结构发生明显改变,波文比波动大,不同风况使得大气处于逆温或逆湿的状态,波文比-能量平衡法所测得的蒸散量负值增多,适用性降低。因而在应用波文比-能量平衡法估算绿洲荒漠过渡带的蒸散发时应该选择合适的天气和观测点,避开风况对观测结果的影响。     

亚热带毛竹林生态系统能量通量及平衡分析

利用开路涡度相关系统和常规气象观测仪器,对亚热带(浙江省)毛竹林生态系统2011年的净辐射、显热通量、潜热通量、土壤热通量以及气温、地温、降雨量等气象要素进行了连续观测,定量分析了毛竹林生态系统能量通量的变化和各能量分量的分配特征,并计算了能量闭合度以及波文比。结果表明:毛竹林全年净辐射为2628.00 MJ/m2,显热通量为576.80 MJ/m2,潜热通量为1666.77 MJ/m2,土壤热通量为-7.52 MJ/m2,土壤为热源,各能量分量季节变化明显,日变化基本呈单峰型曲线变化。显热通量占净辐射的22.0%,潜热通量占63.4%,毛竹林生态系统潜热通量为能量散失的主要形式。波文比逐月变化规律不明显,波动较大,在0.07—1.77之间变化,能量平衡比率法得出毛竹林年能量闭合度为0.85,月平均闭合度为0.84,能量闭合度高于线性回归法计算结果,但仍有15%的能量不闭合。     

Terrestrial biosphere model performance for inter‐annual variability of land‐atmosphere CO2 exchange

Interannual variability in biosphere‐atmosphere exchange of CO₂ is driven by a diverse range of biotic and abiotic factors. Replicating this variability thus represents the ‘acid test’ for terrestrial biosphere models. Although such models are commonly used to project responses to both normal and anomalous variability in climate, they are rarely tested explicitly against inter‐annual variability in observations. Herein, using standardized data from the North American Carbon Program, we assess the performance of 16 terrestrial biosphere models and 3 remote sensing products against long‐term measurements of biosphere‐atmosphere CO₂ exchange made with eddy‐covariance flux towers at 11 forested sites in North America. Instead of focusing on model‐data agreement we take a systematic, variability‐oriented approach and show that although the models tend to reproduce the mean magnitude of the observed annual flux variability, they fail to reproduce the timing. Large biases in modeled annual means are evident for all models. Observed interannual variability is found to commonly be on the order of magnitude of the mean fluxes. None of the models consistently reproduce observed interannual variability within measurement uncertainty. Underrepresentation of variability in spring phenology, soil thaw and snowpack melting, and difficulties in reproducing the lagged response to extreme climatic events are identified as systematic errors, common to all models included in this study.     

森林积雪蒸发测算方法及研究进展

森林积雪蒸发(升华)动态的准确测算是正确理解森林积雪区地表能量和水量平衡的关键问题之一,也是区域水文模型和气候模式的重要环节.本文综述了现有的森林积雪蒸发测算方法,分析了质量平衡法(包括雪水当量法、降雪和穿透降雪对比测量法、雪面蒸发器法、蒸渗仪法、单株称量法、树冠截雪称量法和γ射线减弱技术)和微气象法(包括波文比能量平衡法、彭曼联合法、空气动力学法、表面温度技术和涡度相关法)的适用性.同时对不同森林类型积雪蒸发及其影响因素的研究进展进行了详细回顾,并结合现有研究的不足对今后的森林积雪蒸发研究进行展望,以期为未来的森林积雪蒸发相关研究提供指导.     

An experimental test of the eddy correlation technique over a Mediterranean macchia canopy

Abstract. Flux densities of water vapour and carbon dioxide were measured for a Mediterranean macchia canopy. Results show good agreement between the measured available energy and the sum of latent sensible and heat flux densities determined with the eddy correlation technique. Joint evaluation of the Bowen ratio, aerodynamic resistance, canopy resistance and the 'omega factor' suggests that the macchia canopy is intermediate in aerodynamic roughness between coniferous and deciduous canopies. Maximum daytime carbon flux densities ranged from -14 to -22(μnol m⁻² s⁻¹ on a ground area basis. The ratio of transpiration to assimilation (E/A) was a function of incident photo-synthetic photon flux density below about 400 μmol m⁻²s⁻¹ and above it was fairly constant at 272 mol mol⁻¹ (H₂O/CO₂). The relationship between carbon influx and canopy conductance was linear. Results show promising applications of the eddy correlation technique for evaluating physiological features of canopies, treated as unitary functional systems.     

亚热带-暖温带过渡区天然栎林的能量平衡特征

利用开路涡度相关系统和常规气象观测仪器观测了我国北亚热带-暖温带气候过渡带(河南南阳)的一片锐齿栎天然林的能量通量及常规气象。以一个完整年(2016年10月—2017年9月)的观测数据为依据,定量分析了此锐齿栎林的能量通量的日变化、季节变化以及各能量分量的分配特征,并计算了能量闭合度以及波文比。结果表明:锐齿栎林观测期间一整年净辐射为2626.17 MJ/m~2,感热通量为867.1 MJ/m~2,潜热通量为1417.25 MJ/m~2,土壤热通量为-2.60 MJ/m~2,土壤为热源;各能量分量日变化基本呈单峰型曲线,季节变化特征明显。非生长季,锐齿栎林的能量主要分配给感热通量,占净辐射的54.18%;生长季,能量主要分配给潜热通量,占净辐射的67.48%。观测期间研究区年降雨量较平均值稍大(1231.8 mm),森林蒸散量为579 mm,仅为降雨量的47%。波文比受森林物候变化影响较大,在非生长季平均值约为2.1,生长季约为0.2。土壤热通量在生长季2017年4—9月份为正值,土壤表现为热汇,其余月份皆为热源。土壤热通量的变化过程主要受净辐射调控,森林物候也起了一定的作用。河南宝天曼锐齿栎森林通量观测站全年能量闭合度为67%,在国际同类观测站的范围之内(55%—99%)。不能完全闭合的原因可能与通量源区面积不匹配、计算能量平衡时忽略冠层热存储等有关。     

不同降水梯度下草地生态系统地表能量交换

通过对不同降水梯度下的蒙古中部针茅草原(KBU)、内蒙古羊草草原(NM)、海北高寒灌丛草甸(HB)和当雄高寒草甸草原(DX)4个草地生态系统的能量通量连续4-5 a的测定,分析了影响青藏高原和蒙古高原草地生态系统生长季中地表能量交换的主要因素。研究表明:相对于KBU、NM和DX,HB高寒灌丛草甸NDVI(0.58)和土壤含水量(28.3%)最大,因而地表短波反射率(αk)最低(0.12),从而获得了最大的净辐射(Rn)。KBU、NM和DX 3个草地生态系统生长季中αk随着植被的生长而降低,在生长季末期,随着植被的凋落而增加;HB的αk季节变化趋势与其它生态系统相反。从蒙古高原(KBU和NM)到青藏高原(HB和DX),随着降水量的增加,波文比(β)逐渐减小(2.25-0.53),即生态系统与大气的能量交换从显热(H)占主导转变为潜热(LE)占主导。植被状况对草地生态系统与大气之间能量交换的季节动态有重要的调控作用,在NDVI较低的时候,4个生态系统H/Rn都大于LE/Rn,LE/Rn随着NDVI的增加而增加,而H/Rn呈现出与LE/Rn相反的季节变化趋势。     

高效经营雷竹林生态系统能量通量过程及闭合度

利用开路涡度相关系统和常规气象仪,对高效经营的雷竹林生态系统2011年的显热通量、潜热通量、净辐射、土壤热通量以及气温、地温、降雨量进行了观测,分析该生态系统能量通量的变化,以及各能量分量的分配特征,并计算了波文比及能量闭合.结果表明：雷竹林全年净辐射为2928.92 MJ·m^-2,潜热通量、显热通量和土壤热通量分别为1384.90、92754和-28.27 MJ·m^-2,各能量分量的日变化和月变化基本呈单峰曲线.潜热通量为能量散失主要形式,占净辐射的47.3%,显热通量占31.7%,波文比呈“U”型曲线,在0.285～2.062之间变化,土壤为热源.雷竹林年能量闭合度为0.782,月平均闭合度为0.808.
     

通量梯度法在温室气体及同位素通量观测研究中的应用与展望

通量梯度法与涡度相关法均是微气象学的物质和能量通量观测方法, 在没有高频气体分析仪或下垫面风浪区较小的情况下, 通量梯度法可以有效观测生态系统(或土壤)与大气之间的温室气体及其同位素通量, 同时也可以作为涡度相关法的配套观测和有益补充。该文回顾了通量梯度法的基本原理、概念和假设, 重点综述了温室气体浓度梯度以及相关湍流扩散系数的观测与计算的方法和理论, 概述了通量梯度法在森林、农田、草地、湿地和水体等生态系统观测温室气体通量的应用进展, 特别是在稳定同位素通量观测中的应用, 最后从影响温室气体和同位素的浓度梯度以及湍流扩散系数测定与计算等方面概述了应用注意事项及建议。     

Evaluation of methods for estimating soil carbon dioxide efflux across a gradient of forest disturbance

Better understanding of variation in soil carbon dioxide (CO₂) efflux caused by measurement techniques is needed, especially over gradients of site disturbance, to accurately estimate the global carbon cycle. We present soil CO₂ efflux data from a gradient of disturbance to ponderosa pine (Pinus ponderosa C. Lawson var. scopulorum Engelm.) forests in northern Arizona, USA that were obtained using four different techniques: vented static chambers, a Licor 6400‐09, and soil CO₂ diffusion profiles using two different models (Moldrup, Millington–Quirk) to estimate soil gas diffusivity. We also compared soil CO₂ efflux measured by the Moldrup and Millington–Quirk diffusion profile methods to nighttime total ecosystem respiration (TER) data from an eddy covariance tower. We addressed four questions: (1) Does the use of a given method to measure soil CO₂ efflux bias results across a disturbance gradient? (2) Does the magnitude of difference between observed and modeled estimates of soil CO₂ differ between methods and across sites? (3) What is the spatial variability of each method at each site? (4) Which method is closest to the estimate of TER measured by the eddy covariance tower? Although soil CO₂ efflux varied significantly among methods the differences were consistent among sites. Measured and modeled total growing season fluxes were generally higher for the Licor 6400‐09 and Millington–Quirk diffusion gradient methods compared with static chamber and the Moldrup diffusion gradient methods. A power analysis showed that the larger static chamber was the most efficient method at sampling spatial variation in soil CO₂ efflux. Nighttime measurements of soil CO₂ efflux from the Moldrup diffusion gradient method were most strongly related to nighttime TER assessed with eddy covariance. The use of a single, well‐implemented method to measure soil CO₂ efflux is unlikely to create bias in comparisons across a gradient of forest disturbance.     

An eddy covariance mesonet to measure the effect of forest age on land–atmosphere exchange

We deployed a mesonet of year‐round eddy covariance towers in boreal forest stands that last burned in ～1850, ～1930, 1964, 1981, 1989, 1998, and 2003 to understand how CO₂ exchange and evapotranspiration change during secondary succession. We used MODIS imagery to establish that the tower sites were representative of the patterns of secondary succession in the region, and Landsat images to show that the individual stands have changed over the last 22 years in ways that match the spatially derived trends. The eddy covariance towers were well matched, with similar equipment and programs, which maximized site‐to‐site precision and allowed us to operate the network in an efficient manner. The six oldest sites were fully operational for ～90% of the growing season and ～70% of the dormant season from 2001 or 2002 to 2004, with most of the missing data caused by low battery charge or bad signals from the sonic anemometers. The rates of midday growing‐season CO₂ uptake recovered to preburn levels within 4 years of fire. The seasonality of land–atmosphere exchange and growing‐season length changed markedly with stand age. The foliage in the younger stands (1989, 1998, and 2003 burns) was almost entirely deciduous, which resulted in comparatively short growing seasons that lasted ～65 days. In contrast, the older stands (1850, 1930, 1964, and 1981) were mostly evergreen, which resulted in comparatively long growing seasons that lasted ～130 days. The eddy covariance mesonet approach we describe could be used within the context of other ecological experimental designs such as controlled manipulations and gradient comparisons.     

Leaf age affects the seasonal pattern of photosynthetic capacityand net ecosystem exchange of carbon in a deciduous forest

Temporal trends in photosynthetic capacity are a critical factorin determining the seasonality and magnitude of ecosystem carbonfluxes. At a mixed deciduous forest in the south‐eastern United States (Walker Branch Watershed, Oak Ridge, TN, USA), we independently measured seasonal trends in photosynthetic capacity (using single‐leaf gas exchange techniques) and the whole‐canopycarbon flux (using the eddy covariance method). Soil respiration was also measured using chambers and an eddy covariance system beneath the canopy. These independent chamber and eddy covariance measurements, along with a biophysical model (CANOAK), areused to examine how leaf age affects the seasonal pattern of carbon uptake during the growing season. When the measured seasonality in photosynthetic capacity is representedin the CANOAK simulations, there is good agreement with the eddy covariance data on the seasonal trends in carbon uptake. Removing the temporal trends in the simulations by using the early season maximum value of photosynthetic capacity over the entire growing season over estimates the annual carbon uptake by about 300 g C m^?2 year^?1– halfthe total estimated annual net ecosystem exchange. Alternatively, use of the mean value of photosynthetic capacity incorrectly simulates the seasonality in carbon uptake by the forest. In addition to changes related to leaf development and senescence, photosynthetic capacitydecreased in the middle and late summer, even when leaf nitrogenwas essentially constant. When only these middle and late summer reductions were neglected in the model simulations, CANOAK still overestimated the carbon uptake by an amount comparable to 25% ofthe total annual net ecosystem exchange.     

Measuring fluxes of trace gases and energy between ecosystems and the atmosphere – the state and future of the eddy covariance method

The application of the eddy covariance flux method to measure fluxes of trace gas and energy between ecosystems and the atmosphere has exploded over the past 25 years. This opinion paper provides a perspective on the contributions and future opportunities of the eddy covariance method. First, the paper discusses the pros and cons of this method relative to other methods used to measure the exchange of trace gases between ecosystems and the atmosphere. Second, it discusses how the use of eddy covariance method has grown and evolved. Today, more than 400 flux measurement sites are operating world‐wide and the duration of the time series exceed a decade at dozens of sites. Networks of tower sites now enable scientists to ask scientific questions related to climatic and ecological gradients, disturbance, changes in land use, and management. The paper ends with discussions on where the field of flux measurement is heading. Topics discussed include role of open access data sharing and data mining, in this new era of big data, and opportunities new sensors that measure a variety of trace gases, like volatile organic carbon compounds, methane and nitrous oxide, and aerosols, may yield.     

长白山阔叶红松林二氧化碳湍流交换特征

采用开路式涡度相关技术,研究了长白山阔叶红松林森林-大气界面的CO₂湍流交换特征.结果表明,在近中性大气层结条件下,冠层上方垂直风速和CO₂浓度功率谱在惯性子区基本符合-2/3定律,垂直方向主导湍涡尺度约为40 m.湍流通量贡献区主要在0.01～2 Hz频率范围内,冠层上方低频传输的湍涡贡献了更多的CO₂通量.这说明开路式涡度相关仪器系统可以满足冠层上方湍流通量观测的基本要求.但通过涡度相关法实测获得的森林-大气CO₂通量仍存在夜间低估现象,非湍流过程的增加是涡度相关技术应用的主要制约因素.因此,需要对弱湍流条件下的CO₂通量做相应的修订.     

Radon fluxes in tropical forest ecosystems of Brazilian Amazonia: night-time CO2 net ecosystem exchange derived from radon and eddy covariance methods

Radon‐222 (Rn‐222) is used as a transport tracer of forest canopy–atmosphere CO₂ exchange in an old‐growth, tropical rain forest site near km 67 of the Tapajós National Forest, Pará, Brazil. Initial results, from month‐long periods at the end of the wet season (June–July) and the end of the dry season (November–December) in 2001, demonstrate the potential of new Rn measurement instruments and methods to quantify mass transport processes between forest canopies and the atmosphere. Gas exchange rates yield mean canopy air residence times ranging from minutes during turbulent daytime hours to greater than 12 h during calm nights. Rn is an effective tracer for net ecosystem exchange of CO₂ (CO₂ NEE) during calm, night‐time hours when eddy covariance‐based NEE measurements are less certain because of low atmospheric turbulence. Rn‐derived night‐time CO₂ NEE (9.00±0.99 μmol m^?2 s^?1 in the wet season, 6.39±0.59 in the dry season) was significantly higher than raw uncorrected, eddy covariance‐derived CO₂ NEE (5.96±0.51 wet season, 5.57±0.53 dry season), but agrees with corrected eddy covariance results (8.65±1.07 wet season, 6.56±0.73 dry season) derived by filtering out lower NEE values obtained during calm periods using independent meteorological criteria. The Rn CO₂ results suggest that uncorrected eddy covariance values underestimate night‐time CO₂ loss at this site. If generalizable to other sites, these observations indicate that previous reports of strong net CO₂ uptake in Amazonian terra firme forest may be overestimated.