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1.
基于不同模型的大型湖泊水气界面气体传输速率估算 总被引：1，自引：0，他引：1
气体传输速率是湖泊水—气界面温室气体交换通量的重要驱动因子,但其估算具有不确定性.本研究选择3种不同的参数化方程估算大型(面积2400 km2)浅水(平均水深1.9 m)湖泊——太湖水—气界面的气体传输速率,探讨大型湖泊气体传输速率的控制因子和变化范围,为估算模型的选取提供参考.结果表明,气体传输速率的两个重要参数风应力和水体对流混合速率存在夜间高、白天低的变化特征,因此气体传输速率也存在夜间高、白天低的变化特征.总体上太湖气体传输速率主要由风力控制,可以通过风速函数估算得到.太湖水—气界面气体传输速率的年均值为1.27~1.46m/d.因气体传输速率存在空间变化,单一站点参数化的模型可能不适合其他区域湖泊水—气界面气体传输速率的估算,但湖泊的面积可能是一个有效的预测因子. 相似文献
2.
沉降运动是悬浮物主要运动形式之一,是影响营养盐内源释放的主要运动过程,研究悬浮物沉降速度对湖泊富营养化的研究具有重要意义.为了解浅水湖泊悬浮物的沉降特征,以太湖梅梁湾为例,采用声学多普勒流速仪,光学后向散射浊度仪以及风速风向仪在梅梁湾进行了连续9 d的野外观测.采用扩散沉降平衡的方法计算小风速情况下悬浮物的沉降速度,并对沉降速度与垂向流速、风速、悬浮物浓度的关系进行分析.结果表明悬浮物平均沉降速度为0.0785 mm/s,表层垂向流速和悬浮物浓度对悬浮物沉降速度变化起主要作用;而在底层,风速、垂向流速、悬浮物浓度都对悬浮物运动有重要影响,具体表现为风速1.5 m/s时,垂向流速紊动增大,悬浮物因起悬而浓度较大,并且沉降速度波动较大;风速1.5 m/s时,垂向流速基本向下且流速较小,沉降速度也较小.本文揭示了大型浅水湖泊悬浮物的动态沉降特征,为今后太湖污染物的输移、水环境数学模型和湖泊富营养化的深入研究奠定了必要的基础. 相似文献
3.
过去40年,全球气候变暖、辐射变暗和变亮、风速减弱、气候异常波动等自然环境变化以及筑坝建闸、岸堤硬质化和调水引流等强烈人类活动势必会深刻改变太湖湖泊物理环境和过程,驱动湖泊生态系统演化.基于历史文献、档案数据以及气象水文和透明度等长期观测数据,本文系统梳理了太湖气温、水温、风速、水位和透明度等物理环境空间分布和长期变化特征,探讨了气温和风速、水位和透明度相互协同作用机制及其潜在生态环境意义.受全球变化和城市化等影响,过去40年太湖气温和水温呈现显著升高趋势,而近地面风速则表现为持续下降,湖泊增温和风速下降有利于藻类生长和蓝藻水华漂浮聚集,某种程度上增加了蓝藻水华出现频次和集聚的面积.为防洪和满足流域日益增长的水资源需求,闸坝管控和调水引流使太湖水位呈现缓慢增加趋势,而入湖污染物增加和富营养化则造成水体透明度逐渐下降,致使透明度与水位(水深)的比值明显降低,减少了湖底可利用光强,恶化水下光环境,在一定程度上驱动了太湖水生植被和草型生态系统退化.湖泊物理环境长期变化逐渐拓展了太湖藻型生境空间而压缩了草型生境空间,加剧了草型生态系统向藻型生态系统转化和增强了藻型生态系统的自我长期维持.太湖湖泊物理环境的显著变化也会部分抵消流域营养盐削减和湖体营养盐下降对藻类生物量和蓝藻水华的控制,增加了太湖蓝藻水华防控和湖泊富营养化治理的难度.这意味着未来流域控源截污需要更加严格的标准,而湖泊水位等物理环境的有效管控是应对藻华加剧和恢复草型生态系统的适应性管理策略. 相似文献
4.
太湖水体磷浓度与赋存量长期变化(2005-2018年)及其对未来磷控制目标管理的启示 总被引：7，自引：6，他引：1
为揭示大型浅水湖泊水体磷浓度对湖泊外源负荷削减和生态系统变化的响应规律,指导富营养化湖泊水生态修复和管理实践,利用太湖湖泊生态系统研究站20052018年连续14年的太湖水体各形态磷浓度的月、季度调查数据,估算了太湖湖体各形态磷赋存量的季度变化,分析了太湖水体磷浓度受湖泊水位、水量、蓝藻水华态势(蓝藻总生物量及水华出现面积)等环境条件变化的影响特征.结果表明,在连续10年的全流域高投入污染治理背景下,太湖水体总磷浓度仍未发生显著下降,水体各形态磷浓度在年际、月际及空间上的变幅大,不同季节和不同湖区总磷浓度的时空差异性大于14年来总磷浓度年均值的差异性;全湖32个监测点上、中、下3层混合样水体总磷平均值为0.113 mg/L(n=1788),其中颗粒态磷浓度平均值为0.077 mg/L,是水体总磷的主要赋存形式,溶解性总磷浓度平均值为0.036 mg/L,其中反应性活性磷浓度平均值为0.015 mg/L,占总磷浓度的13%;太湖水体总磷的赋存量介于410~1098 t之间,56个季度的平均值为688 t,其中冬季(122月)、春季(35月)、夏季(68月)、秋季(911月)平均值分别为683、604、792和673 t,夏季湖体磷赋存量明显高于其他季节.统计分析表明,蓝藻水华态势和水情要素(水位)对水相总磷、颗粒态磷等主要形态磷的赋存量影响显著,蓝藻水华态势的影响可能大于水量变化的影响.本研究表明,在水体营养盐浓度仍然充分满足蓝藻水华发生的背景下,气象水文波动所造成的湖泊水华面积及生物量的变化及大型水生植被消长带来的内源交换变化能引起水体总磷浓度剧烈变化,太湖水体磷浓度的稳定控制也依赖于蓝藻水华态势的稳定控制,由于太湖当前的蓝藻水华态势受气象水文条件变化影响甚大,短期内太湖水相总磷浓度稳定控制到0.05 mg/L的水质治理目标较难实现.治理策略上,若要实现太湖水体磷浓度的进一步明显下降,一方面需要大幅度削减外源磷负荷,另一方面需要大面积恢复沉水植被等.管理策略上,由于湖体磷浓度变化包括了较大的非人为因素影响,应将太湖总磷治理目标考核重点放在流域磷减排强度、入湖负荷等方面,科学看待气候波动等非人为因素影响下的水相磷浓度波动. 相似文献
5.
纳木错水温变化及热力学分层特征初步研究 总被引：3，自引：3，他引：0
水温变化是湖泊的重要物理特性,对湖泊的水质特征、湖水能量循环、水生生态系统研究具有重要意义.基于不同季节的实地观测资料,分析青藏高原高海拔、深水大湖纳木错的水温变化特征及季节差异,并着重分析湖水热力学分层的季节变化.结果显示纳木错中部、东部两个湖盆冬季封冻,夏季存在稳定分层,春、秋季混合,是一个典型双季对流、完全混合型湖泊.但两个湖盆水温变化与热力学分层又有各自的特征,东部浅湖盆湖水在春季升温快,夏季分层与秋季翻转均比中部湖盆早,且秋季翻转时水温也比中部湖盆高.初步分析认为两个湖盆不同的湖盆形状及水深分布可能是造成其热力学特征差异的主要原因. 相似文献
6.
分析湖泊中磷浓度的变化特征,揭示其变化的驱动机制,是有效实施湖泊水体磷浓度控制的前提.本文整理分析了太湖70年来(1949 2020年)水体磷浓度监测历史资料,对比了太湖不同湖区、不同时间尺度水体磷浓度的差异性及波动性,发现影响太湖磷浓度变化的原因既有人为的因素,也有自然的因素.无论是污染较轻的1950年,还是污染负荷相对较重的近30年,太湖水体磷浓度一直存在较大时空差异性.暴雨引发入湖河流携带磷污染的扩散、风浪扰动引起的内源释放及蓝藻水华期间藻类生物量的大幅时空变化,都加剧了太湖水体磷浓度的不稳定性.近20年的太湖水污染治理对磷浓度的时空分布影响明显,1998年的太湖水污染治理"零点行动",2007年以来的水利调度等系列水污染治理工程,以及2017年以来的藻情变化等,都对太湖水体磷浓度的时空格局产生了影响.然而,高强度治理投入下太湖水体磷浓度依然偏高,其原因与流域建设用地比例增加、人口增加、耕地种植结构变化等外源负荷因素发生变化有关,也与湖体沉水植被退化、出入流结构发生变化、气候变化引发的蓝藻水华扩张等内源强度及水体表观磷浓度决定因素的生态环境变化有关.近70年来太湖水体磷浓度的变化过程对类似大型浅水湖泊的磷控制策略具有启示意义:大型浅水湖泊存在磷浓度较大波动的自然属性,在水环境保护目标考核中应充分考虑其不确定性,制定切实可行的控制目标;在控制策略上应将外源负荷控制放在首位,在流域污水处理厂深度除磷及流域土地利用调整等方面采取措施,实现入湖磷负荷的大幅削减,同时实施湖体生态修复与食物链调控措施,才能逐步实现湖泊水体磷浓度的控制目标. 相似文献
7.
湖泊蒸发对气候变化非常敏感, 是水文循环响应气候变化的指示因子, 因此研究湖泊蒸发的控制因素, 对于理解区域水文循环有重要意义. 本文利用太湖中尺度涡度通量网避风港站观测数据校正JRA-55再分析资料, 驱动CLM4.0-LISSS模型, 并利用2012—2017年涡度相关通量数据和湖表面温度数据检验模型模拟蒸发结果, 验证了该模型在太湖的适用性; 估算了1958—2017年间太湖的湖面蒸发量, 并利用Manner-Kendall趋势检验分析了湖面蒸发的变化趋势, 寻找太湖实际蒸发的年际变化的主控因子. 结果如下: 校正后的JRA-55再分析资料模拟的太湖蒸发与观测值之间存在季节偏差, 但是季节偏差在年尺度上相互抵消, 再分析资料可用于年际尺度太湖蒸发变化的模拟; 1958—2017年间太湖蒸发量以1977年为界, 先下降(-3.6 mm/a), 后增加(2.3 mm/a); 多元逐步回归结果表明, 向下的短波辐射是太湖1958—2017年间太湖蒸发变化的主控因子, 向下的长波辐射、气温、比湿也对湖泊蒸发年际变化有一定影响, 但是风速对蒸发量的年际变化影响不大. 相似文献
8.
浅水湖泊风浪过程对于湖泊生态系统具有重要的意义.基于巢湖风场、风浪和水环境参数同步高频观测结果,详细分析了快速变化风场下的风浪快速变化特征及其对湖泊水环境的影响特征.浅水湖泊风浪的有效波高和平均波周期均随风速的快速变化有较好的同步响应规律.在风速快速衰减阶段,相较有效波高,波周期有更好的稳定性.湖泊水体pH、水温、溶解氧会快速响应风浪的变化,随着风浪强度增强,对水体浊度、总磷浓度以及藻密度和生物量的扰动影响逐渐呈现.强烈的风浪扰动引起水体浊度变化的滞后时间可达3 d.快速变化的风浪场下,风浪的强烈扰动会改变水体固有的理化参数分布特征,扰动藻类常规的水体分布规律,风浪强度是造成差异的主要因子. 相似文献
9.
水体浊度是影响水下光场及营养盐循环的关键要素之一，其变化过程与水生生态环境演变关系密切.基于2015-2016年7个时段于太湖贡湖湾内外的金墅和上山村两站点的水体浊度及东山气象站的逐时风场数据，利用分位统计等方法，探讨了风速、风向及时间累积效应对水体浊度的影响.结果表明：在以风场驱动为主要动力来源的大型浅水湖泊中，春、秋两季水体浊度的变化频率高于夏、冬两季，且春季变率更为突出；冬季风场和水体浊度的变率均较夏季明显.风场（包括风速、风向及其累积时间）是影响水体浊度变化的关键因素.其中风速是主要决定性因子；风向对水体浊度有较明显的影响，其通过对风速效应的修正进而影响水体浊度，该修正作用可用三角函数表征；水体浊度变化同时还受前期风场累积的影响，其前期时间累积效应的有效时段为2~10 h.该研究给出了风速、风向及风场累积效应的耦合对水体浊度的影响模型，有助于弄清风场对水体浊度变化的影响机制. 相似文献
10.
湖泊蒸发量的准确估算对于水文学、气象学和湖泊学等研究有重要的意义.基于2013-2015年太湖水量收支资料、气象观测数据和稳定同位素观测资料,采用稳定同位素质量守恒模型、水量平衡法和Priestley-Taylor模型估算太湖蒸发量,分析太湖蒸发量的季节变化和年际变化特征,并以Priestley-Taylor模型结果为参考值,评价水量平衡法和同位素质量守恒方程的计算精度.结果表明:5-9月太湖蒸发量较高,冬季最低.2013-2015年太湖年总蒸发量分别为1069、894和935 mm,蒸发量的年际变化受到天气条件的影响.2013年12月2014年11月期间,用Priestley-Taylor模型计算的湖泊蒸发量为885 mm;同位素质量守恒模型的估算结果较一致,为893 mm;而水量平衡方程的估算结果明显偏高,为1247 mm. 相似文献
11.
High concentration ground-level ozone(O3)has adverse effects on plant growth and photosynthesis.Compared to the O3concentration-based index,the O3flux-based(especially stomatal O3uptake)index has been considered the better criterion for assessing the impact of ozone on vegetation and ecosystems.This paper reports on a study of O3flux using the eddy covariance technique over a corn field in the Northwestern Shandong Plain of China.Diurnal variation of atmospheric O3concentration,deposition velocity and flux,and their relationships to environmental factors are analyzed.The results show that:(1)During the observation period(9 August–28 September,2011),there was a strong diurnal variation of O3concentration,with low(16.5 nL L?1)and high(60.1 nL L?1)O3mean concentrations observed around 6:30 and 16:00,respectively.Mean O3concentrations during daytime(6:00–18:00)and nighttime(18:00–6:00)were 39.8±23.1 and 20.7±14.1 nL L?1(mean±std),respectively.The maximum observed concentration was 97.5 nL L?1.The concentration was mainly affected by solar radiation and air temperature.(2)Whether daytime or nighttime,ground-level O3flux is always downward.The diurnal course of mean deposition velocity was divided into 4 phases:a low and stable process during nighttime,fast increasing in early morning,relatively large and steady changes around noon,and quickly decreasing in later afternoon.Daytime and nighttime mean deposition velocities were 0.29 and 0.09 cm s?1,respectively.The maximum deposition velocity was 0.81 cm s?1.The magnitude of deposition velocity was influenced by the corn growth period,and its diurnal variation was significantly correlated with global radiation and relative humidity.(3)O3flux was affected by variations of both O3concentration and deposition velocity,with mean O3fluxes-317.7 and?70.2 ng m?2s?1during daytime and nighttime,respectively.There was strong correlation between O3flux and CO2flux or latent heat flux.By comparing the deposition velocities of daytime and nighttime,we infer that stomatal uptake was probably the main sink of ground-level O3. 相似文献
12.
Parts of the consecutive apparent resistivity monitoring stations of China have recorded clear diurnal variations. The relative amplitudes of diurnal variations at these stations range from 1.3‰ to 5.8‰. The daily accuracies of apparent resistivity observation are better than 1‰, because the background electromagnetic noise is rather low at these stations. Therefore, the diurnal variations of apparent resistivity recorded at these stations are real phenomena. The diurnal variation shapes can be divided into two opposite types according to their characteristics. One type is that the apparent resistivity data decreases during the daytime but increases during the nighttime(Type 1). The other type is the apparent resistivity data increases during the daytime but decreases during the nighttime(Type 2). There is a correspondence between the diurnal and annual variation patterns of apparent resistivity. For the monitoring direction with diurnal variation of Type 1, the apparent resistivity decreases in summer and increases in winter. However, for the monitoring direction with diurnal variation of Type 2, the apparent resistivity increases in summer and decreases in winter.
We take an analysis on the mechanism of apparent resistivity diurnal variation, combining the influence factors of water-bearing medium's resistivity, the electric structure of stations, and the apparent resistivity sensitivity coefficient(SC)theory. Intuitively, diurnal variation of apparent resistivity is caused by diurnal variation of medium resistivity in the measured area. The diurnal variation of medium resistivity will inevitably be caused by the factors with diurnal variation. Among the possible factors, there is diural variation in earth tide and temperature.
Our analysis displays that apparent resistivity diurnal variation is not caused by the usually-believed earth tide, but by the ground temperature difference between daytime and nighttime. The earth tide strain is too small to cause remarkable effects on the apparent resistivity data. On the other hand, the daily tide strain has two peak-valley variations, and its phase and amplitude has a period of approximate 28 days. However, the apparent resistivity data do not show these corresponding features to earth tide. Furthermore, the detection range of current apparent resistivity stations is within a depth of several hundred meters. Within this depth range, the medium deformation caused by solid tide can be regarded as uniform change. Therefore, all monitoring directions and all stations will have the same pattern of diurnal variation.
In general, the temperature increases in the daytime but decreases in the nighttime. For most water-bearing rock and soil medium, its resistivity decreases as temperature increases and increases as temperature decreases. Diurnal temperature difference affects about 0.4m of soil depth. Therefore, resistivity of this surface thin soil layer decreases in the daytime while increases in the nighttime. Under layered medium model, SC of each layer represents its contribution to the apparent resistivity. For the stations with positive SC of surface layer, apparent resistivity decreases in the daytime but increases in the nighttime. While for the stations with negative SC of surface layer, apparent resistivity diurnal variations display the opposite shape. 相似文献
13.
In a headwater basin covered with boreal forest in northern Japan, the summer dry flow was monitored each summer from 1985 to 1993. Streamflow and specific electrical conductance fluctuated diurnally and these variations were attributed to daytime evapotranspiration. In 1989, the daytime reduction in streamflow and conductance were accompanied by a reduction in the HCO?3 concentration. The low flow hydrograph was separated into two components using HCO?3 and Cl? concentrations in August 1989, assuming low flow to be a mixture of delayed subsurface flow and of quick shallow flow. The slight diurnal variation in the ratio of shallow flow to subsurface flow caused the diurnal variation in conductance by changing the HCO?3 concentration. 相似文献
14.
15.
Stream temperature will be subject to changes because of atmospheric warming in the future. We investigated the effects of the diurnal timing of air temperature changes – daytime warming versus nighttime warming – on stream temperature. Using the physically based model, Heat Source, we performed a sensitivity analysis of summer stream temperatures to three diurnal air temperature distributions of +4 °C mean air temperature: i) uniform increase over the whole day, ii) warmer daytime and iii) warmer nighttime. The stream temperature model was applied to a 37‐km section of the Middle Fork John Day River in northeastern Oregon, USA. The three diurnal air temperature distributions generated 7‐day average daily maximum stream temperatures increases of approximately +1.8 °C ± 0.1 °C at the downstream end of the study section. The three air temperature distributions, with the same daily mean, generated different ranges of stream temperatures, different 7‐day average daily maximum temperatures, different durations of stream temperature changes and different average daily temperatures in most parts of the reach. The stream temperature changes were out of phase with air temperature changes, and therefore in many places, the greatest daytime increase in stream temperature was caused by nighttime warming of air temperatures. Stream temperature changes tended to be more extreme and of longer duration when driven by air temperatures concentrated in either daytime or nighttime instead of uniformly distributed across the diurnal cycle. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
16.
The data of the DMSP F7 spacecraft are used for studying the influence of the geomagnetic dipole tilt angle on the latitudinal position of auroral
precipitation boundaries in the nighttime (2100–2400 MLT) and daytime (0900–1200 MLT) sectors. It is shown that, in the nighttime
sector, the high-latitude zone of soft diffuse precipitation (SDP) and the boundary of the polar cap (PC) at all levels of
geomagnetic activity are located at higher and lower latitudes relative to the equinox period in winter and summer, respectively.
The position of boundaries of the diffuse auroral precipitation zone (DAZ) located equatorward from the auroral oval does
not depend on the season. In the daytime sector, the inverse picture is observed: the SDP precipitation zone takes the most
low-latitude and high-latitude positions in the winter and summer periods, respectively. The total value of the displacements
from winter to summer of both the nighttime and daytime boundaries of the PC is ∼2.5°. A diurnal wave in the latitudinal position
of the nighttime precipitation boundaries is detected. The wave is most pronounced in the periods of the winter and fall seasons,
is much weaker in the spring period, and is almost absent in summer. The diurnal variations of the position of the boundaries
are quasi-sinusoidal oscillations with the latitude maximum and minimum at 0300–0500 and 1700–2100 UT, respectively. The total
value of the diurnal displacement of the boundaries is ∼2.5° of latitude. The results obtained show that, undergoing seasonal
and diurnal variations, the polar cap is shifted as a whole in the direction opposite to the changes in the tilt angle of
the geomagnetic dipole. The seasonal displacements of the polar cap and its diurnal variations in the winter period occur
without any substantial changes in its area. 相似文献
17.
This study analyzes the TEC data during 1998–2007, observed by the AREQ (16.5°S, 71.5°W) GPS station to investigate the equatorial ionospheric variations under geomagnetic quiet-conditions. The diurnal TEC values generally have a maximum value between 1330 and 1500 LT and a minimum around 0500 LT. For the seasonal variation, the semi-annual variation apparently exists in the daytime TEC with two peaks in equinoctial months. In contrast, this semi-annual variation is not found in the nighttime. Furthermore, the results of the annual variation show that the correlation between the daytime TEC value and the solar activity factor is highly positive. 相似文献
18.
本文利用Final Global Data Assimilation System (FNL) 6小时再分析数据集分析了西南低空急流的日变化特征及其影响因子,结果表明:西南低空急流具有明显的日变化特征,在夜间和早晨(02LST,08LST)中国东南大部分地区急流发生频率较高,而在白天和傍晚(14LST,20LST)低空急流发生频率较低.经向地转风分量在一天内基本保持稳定,经向非地转分量在02LST最强,占实际风场强度50%以上,而在14LST和20LST,经向风场近似满足地转平衡.对风场非定常性、风速在流动方向上的非均匀性、流线弯曲和大气斜压性产生的地转偏差的分析结果表明,经向非地转风的日变化主要是由局地变压、水平风场涡度、垂直运动和温度梯度的日变化产生,副热带高压强度和位置的变化、青藏高原大地形加热效应和昼夜间海陆热力性质差异是造成经向非地转风夜间加强的重要原因.在中国东部地区,风速在流动方向的非均匀性虽然有利于非地转风的产生,但其没有明显的日变化,不是经向非地转风在夜间加强的主要原因. 相似文献
19.
Wang Chunlin Yu Guirui Zhou Guoyi Yan Junhua Zhang Leiming Wang Xu Tang Xuli Sun Xiaomin 《中国科学:地球科学(英文版)》2006,49(2):127-138
The Dinghushan flux observation site, as one of the four forest sites of ChinaFLUX, aims to acquire long-term measurements of CO2 flux over a typical southern subtropical evergreen coniferous and broad-leaved mixed forest ecosystem using the open path eddy covariance method. Based on two years of data from 2003 to 2004, the characteristics of temporal variation in CO2 flux and its response to environmental factors in the forest ecosystem are analyzed. Provided two-dimensional coordinate rotation, WPL correction and quality control, poor energy-balance and underestimation of ecosystem respiration during nighttime implied that there could be a CO2 leak during the nighttime at the site. Using daytime (PAR > 1.0 μmol−1·m−2·s−1) flux data during windy conditions (u* > 0.2 m·s−1), monthly ecosystem respiration (Reco) was derived through the Michaelis-Menten equation modeling the relationship between net ecosystem C02 exchange (NEE) and photosynthetically active radiation (PAR). Exponential function was employed to describe the relationship between Reco and soil temperature at 5 cm depth (Ts05), then Reco of both daytime and nighttime was calculated respectively by the function. The major results are: (i) Derived from the Michaelis-Menten equation, the apparent quantum yield (α) was 0.0027±0.0011 mgCO2·μmol−1 photons, and the maximum photosynthetic assimilation rate (Amax) was 1.102±0.288 mgCO2·m−2·s−1. Indistinctive seasonal variation of α or Amax was consistent with weak seasonal dynamics of leaf area index (LAf) in such a lower subtropical evergreen mixed forest, (ii) Monthly accumulated Reco was estimated as 95.3±21.1 gC·m−2mon−1, accounting for about 68% of the gross primary product (GPP). Monthly accumulated WEE was estimated as −43.2±29.6 gC·m−2·mon−1. The forest ecosystem acted as carbon sink all year round without any seasonal carbon efflux period. Annual NEE of 2003 and 2004 was estimated as −563.0 and −441.2 gC·m−2·a−1 respectively, accounting for about 32% of GPP.
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