亚热带城市湖泊与河流CO2气体通量特征及其影响因素

湖泊、河流等内陆水体是连接陆地生态系统和海洋的“长程碳环路”的重要节点,也是温室气体二氧化碳(CO₂)排放源,在调节陆地、海洋间的碳迁移转换中发挥着重要作用。相对于自然水体,城市水体因面积小、水深浅且受监测方法限制,水-气界面碳通量经常被忽略。为探讨我国亚热带城市水体温室气体排放特征,本研究以湖南省长沙市典型城市水体,包括洋湖、西湖、松雅湖、月湖4个湖泊和湘江长沙段为研究对象,分别于2022年4和10月采用光化学反馈-腔增强吸收光谱法(OF-CEAS)和扩散模型法对水-气界面CO₂通量进行对比测定。结果表明,长沙城市湖泊与河流春季为CO₂排放源,秋季为吸收汇,河流水-气界面CO₂通量呈显著季节差异。河湖之间CO₂通量在春季表现为显著差异,秋季差异不显著。CO₂通量与水体溶解氧、水体总氮浓度等呈显著正相关。2种方法的CO₂通量对比测定在湖泊上显著相关,但对河流而言相关性不显著。研究揭示的城市湖泊与河流CO₂气体的排放特征有利于深入探究城市水体碳的迁移转化,可对全面了解全球气候变化过程和河湖湿地温室气体减排和调控提供科学支撑。     

巢湖水体二氧化碳浓度时空分布特征及其水-气交换通量

为揭示巢湖水体二氧化碳浓度（cCO₂）时空变化特征及其影响因素,2017年2、4、8和11月分别采集巢湖表层水样,测定水样的理化、生物学参数以及cCO₂,并以此计算其水-气界面交换通量.结果表明：巢湖表层水体cCO₂的变化范围为13.31~55.47 μmol/L,年平均值为26.27 μmol/L,在空间上呈现出西高东低的分布趋势;在季节上表现为暖季（夏季）低、冷季（春、秋和冬季）高的规律.巢湖表层水体cCO₂与溶解性有机碳浓度呈显著正相关,与叶绿素a浓度呈显著负相关,说明有机质分解和光合作用在巢湖CO₂生物化学循环过程中占重要作用;同时,南淝河等入湖河流污染严重,输入大量有机和无机碳,对西巢湖水体CO₂贡献较大.总体上,巢湖CO₂排放量相对较低,巢湖部分区域在冷季（2、11月）表现为CO₂的汇.本研究对于明晰富营养化湖泊CO₂排放特征以及准确估算全球内陆湖泊碳通量等都具有参考价值.     

三峡水库澎溪河水-气界面CO2、CH4扩散通量昼夜动态初探

三峡水库温室气体效应近年来备受关注.为揭示三峡水库典型支流澎溪河水-气界面CO₂和CH₄通量的昼夜动态规律,明晰短时间尺度下该水域温室气体释放的影响因素,在2010年6月至2011年5月的一个完整水文周年内,选择4个具有代表性的时段(2010年8、11月和2011年2、5月)对澎溪河高阳平湖水域开展昼夜跟踪观测.结果表明:2010年8、11月和2011年2、5月4次采样的CO₂日总通量值分别为-8.34、73.94、28.13和-20.12 mmol/(m²·d),相应的CH₄日总通量值分别为2.22、0.11、0.32和7.16 mmol/(m²·d),不同时期昼夜变化明显.研究水域CO₂和CH₄通量过程不具同步性:CO₂昼夜通量变化可能更显著地受到水柱光合/呼吸过程的影响,但瞬时气象过程(水汽温差、瞬时风速等)在高水位时期亦可对CO₂通量产生显著影响;CH₄昼夜通量变化与水温条件改变更为密切.     

三峡水库澎溪河消落区土-气界面CO2和CH4通量初探

水库近岸湿地(消落区)温室气体(CO₂、CH₄)产汇是水库温室气体效应问题的重要组成部分.本文以三峡水库支流澎溪河的白家溪、养鹿两处大面积消落区为研究对象,于2010年6 9月水库低水位运行期间,对近岸消落区土-气界面CO₂、CH₄通量进行监测.白家溪消落区土-气界面CO₂通量均值为12.38±2.42 mmol/(m²·h);CH₄通量均值为0.0112±0.0064 mmol/(m²·h).养鹿消落区CO₂、CH₄通量均值分别为10.54±5.17、0.14±0.16 mmol/(m²·h).总体上,6 9月土-气界面CO₂通量呈增加趋势,而CH₄通量水平呈现显著的递减趋势.消落区土地出露后植被恢复,在一定程度上促进了土壤有机质含量的增加,使得6 9月CO₂释放通量的总体趋势有所增加.消落区退耕后,其甲烷氧化菌的活性得到恢复,加之在土地出露曝晒过程中土壤透气性增强,使得消落区土壤对大气中CH₄吸收氧化潜势增强.尽管如此,仍需进一步的研究以明晰消落区土-气界面CO₂、CH₄产汇的主要影响因素.     

夏季降雨事件对水库温室气体通量变化的影响:来自湖北官庄水库的高频观测

湖库淡水水域对温室气体排放的贡献不容小觑,然而观测时间的代表性不足以及缺乏对降雨因素的考虑制约了碳排放的准确估计.本研究以湖北宜昌境内官庄水库为例,选取强降雨多发的夏季时段,针对水气界面温室气体通量、水体表层和垂向剖面气体溶存浓度及环境因子开展了为期1周的原位高频观测,以探讨夏季降雨事件对水库温室气体通量变化的影响.结果表明,观测期内官庄水库水气界面CH₄通量变化范围为0.007~0.077 mg/（m²·h）,CO₂通量范围为5.48~57.57 mg/（m²·h）,白天和夜晚均表现为大气的碳源.小雨、中雨乃至暴雨天气条件下,CH₄和CO₂日均通量均较低,日通量倾向于受风速和温度调控.CH₄和CO₂通量变化趋势较为一致,观测期内日间排放量高于夜间排放量出现的次数更多,昼夜差异对降雨天气状况无明显响应,风速是CH₄和CO₂通量昼夜变化的主导因素.暴雨过程中,CH₄-k₆₀₀和CO₂-k₆₀₀与水气温差存在显著正相关,但水体垂向混合过程十分短暂.在平均雨强为3.8 mm/h的暴雨第I阶段,CH₄-k₆₀₀对风速和降雨的响应明显,而在雨强更大（8.5 mm/h）的第II阶段,CH₄-k₆₀₀与风速、降雨均未表现出相关性,通量箱在强降雨条件下的适用性可能存在雨强阈值.     

喀斯特筑坝河流中生物碳泵效应的碳施肥及对水化学时空变化的影响——以贵州平寨水库及红枫湖为例

耦联水生光合作用的碳酸盐风化碳汇是全球碳循环的重要组成部分,而生物碳泵效应是稳定碳酸盐风化碳汇的关键机制.河流筑坝后,生物碳泵效应的变化、控制因素及对水化学影响的研究甚少.本研究对2个喀斯特筑坝河流平寨水库和红枫湖进行系统采样,以研究河流筑坝后生物碳泵效应的变化、控制因素及对水化学的影响.研究结果表明,入库河流的水化学变化不明显,而2个水库的水化学则表现出显著的季节变化特征,具体表现为水库的水温和pH均呈现出夏季高、冬季低的变化特征,而电导率（EC）、HCO₃^-浓度和pCO₂则表现出夏季低、冬季高的季节变化特征.以叶绿素a（Chl.a）浓度和溶解氧（DO）饱和度指代的生物碳泵效应则是在夏季最强、冬季最弱.生物碳泵效应利用溶解性无机碳（DIC）,形成有机质并释放出氧气,是造成夏季水库pH值和DO饱和度升高,电导率（EC）、HCO₃^-浓度和pCO₂降低的主要因素.空间上,水库的Chl.a浓度及DO饱和度均大于河水,EC、HCO₃^-浓度和pCO₂均小于河水,这表明河流筑坝后,由于水库的“湖泊化”导致水库的生物碳泵效应显著提高.通过对Chl.a与碳、氮和磷浓度及化学计量比的相关性分析发现,平寨水库和红枫湖的生物碳泵效应受到碳施肥的影响.平寨水库和红枫湖水库生物碳泵效应碳施肥机制的发现,表明在喀斯特地区,生物碳泵效应不仅受到氮磷元素的控制,也受到碳元素的控制,因此在富营养化湖泊治理时,也应考虑碳的影响.     

南亚热带森林土壤CO2排放的季节动态及其对环境变化的响应

应用静态箱／气象色谱法对南亚热带3种森林土壤地表CO₂排放通量的季节动态及其对环境变化的响应规律进行了2年的连续观测,结果表明:季风常绿阔叶林、针阔叶混交林和马尾松针叶林(S+L)CO₂年排放总量分别为3942．2,3422．36和2163．02 gCO₂．m^-2·a^-1,并且3种林分具有相同的季节性变化特征,排放高峰均出现在6～8月,这期间的土壤CO₂排放量占全年排放总量的35．9％,38．1％和40．2％:不同森林土壤CO₂排放过程对环境变化的响应有明显差异,具体体现在针叶林(PF)对温度变化的响应较阔叶林(BF)和混交林(MF)敏感,Q10值较大,而且CO₂排放通量的季节变化幅度较大,表明结构单一的森林生态系统抗干扰能力较差;3种森林土壤CO₂排放通量与土壤温度(Ts)、土壤含水量(Ms)和空气压力(Pa)均呈显著相关;但多元回归分析表明,空气压力对森林土壤CO₂排放通量的影响并不显著;基于经验模型,以土壤5 cm处温度和土壤含水量两个指标可以分别说明阔叶林、混交林和针叶林土壤CO₂排放通量变异的75．7％,77．8％和86．5％,该模型可以较好地描述受水分胁迫的土壤或干旱或半干旱土壤CO₂的排放过程．     

不同水文情景下洪泽湖二氧化碳排放通量特征及影响因素

内陆水域二氧化碳(CO₂)排放是全球碳平衡的重要组成部分,全球CO₂排放通量估算通常有很大不确定性,一方面源于CO₂排放数据观测的时空离散性,另一方面也是缺少水文情景与CO₂排放通量关联性的研究.本文观测了2018年洪泽湖不同水文情景表层水体CO₂排放通量特征,并探讨其影响因素.结果表明,洪泽湖CO₂排放通量为丰水期((106.9±73.4) mmol/(m²·d))>枯水期((18.7±13.6) mmol/(m²·d))>平水期((5.2±15.5) mmol/(m²·d)),且碳通量由丰(310.2~32.0 mmol/(m²·d))、枯(50.8~2.2 mmol/(m²·d))、平(-17.3~39.8 mmol/(m²·d))3种水文情景的交替表现出湖泊碳源到弱碳汇的转变,空间上CO₂排放通量总体呈现北部成子湖区低、南部过水湖区高的分布趋势.洪泽湖CO₂排放对水文情景响应敏感,特别是上游淮河流域来水量的改变,是主导该湖CO₂排放时空分异的重要因子.丰水期湖泊接纳了淮河更多有机和无机碳的输入,外源碳基质的降解和矿化显著促进了水体CO₂的生产与排放,同时氮、磷等营养物质的大量输入,加剧了水体营养化程度,进一步提高CO₂排放量,间接反映出人类活动对洪泽湖CO₂变化的深刻影响.平、枯水期随着上游淮河来水量的减少,驱动水体CO₂排放的因素逐渐由外源输入转变为水体有机质的呼吸降解.此外,上游河口区DOM中陆源类腐殖质的累积与矿化能够促进CO₂的排放,而内源有机质组分似乎并没有直接参与CO₂的排放过程.研究结果揭示了水文情景交替对湖库CO₂排放的重要影响,同时有必要进行高频观测以进一步明晰湖泊的碳通量变化及其控制因素.     

基于人工神经网络的ChinaFLUX 观测站CO2模拟研究通量*

涡度相关技术的发展, 为准确获取区域尺度的CO₂通量分布格局提供了数据基础. 但由于涡度相关技术自身的局限性, 需要利用模型模拟作为获取区域CO₂通量的重要手段. 可是CO₂通量和其他微气象变量之间的非线性关系给模拟CO₂通量的时空动态变化带来了一定的困难.人工神经网络模型为模拟CO₂通量与其他微气象变量的非线性关系提供了一种新的手段. 在ChinaFLUX三个不同类型(农田、森林、草地)生态系统中, 基于2003年6~8月的半小时涡度相关观测数据, 采用BP人工神经网络模型, 以能量通量(净辐射、潜热、显热和土壤热通量)以及温度(空气温度、土壤温度)和表层土壤水分作为输入变量, 模拟了CO₂通量的动态变化. 结果表明, 人工神经网络模型具有较好的模拟结果, 其R2系数在0.75与0.866之间.RMSE在0.008 ?mol/m²与0.012 ?mol/m²之间, MAE在1.38 ?mol/m²与3.60 ?mol/m²之间, 其中农田和森林生态系统的模拟精度略高于草地生态系统.其次, 通过比较土壤水分要素是否参与模拟的结果表明, 在生长季期间, 不存在土壤水分胁迫的情况下, 土壤水分的参与并不能显著提供模型模拟的精度. 最后, 应用连接权重方法进行了神经网络模型不同输入变量的重要性分析, 指出神经网络模型不完全是一个黑箱模型, 也可以有效地揭示出某些机理性现象.该研究证明, 神经网络模型不仅可以有效地模拟CO₂通量, 也可以揭示出一些机理现象, 为通过涡度相关观测与遥感反演技术的集成途径, 利用已获取的区域尺度能量通量数据, 模拟分析区域尺度的CO₂通量分布格局提供了一种有效的方法.     

秋季连续打捞蓝藻对水-气界面温室气体通量的影响

在巢湖西北半湖近岸带设置大型围隔研究秋季连续打捞蓝藻对湖泊温室气体通量的影响,应用YL-1000型大型仿生式水面蓝藻清除设备进行原位打捞蓝藻,通过便携式温室气体分析仪-静态箱法对大型围隔内水-气界面CH₄、CO₂通量特征及其影响因素进行观测.结果表明：对比未打捞区,蓝藻连续打捞下打捞区水体中叶绿素a（Chl.a）、悬浮物（SS）浓度不断下降,两者削减率分别为72%、85%,Chl.a、SS浓度分别下降到29.6±2.5 μg/L、12.5±1.2 mg/L,打捞对围隔内颗粒态物质去除效果十分明显;打捞过程中水体溶解性有机物（DOM）中微生物代谢类腐殖质（C1）、类蛋白（C3）显著下降趋势,打捞区C1、C3组分（0.18±0.02、0.06±0.01 RU）强度明显低于未打捞区（0.26±0.05、0.12±0.03 RU）,打捞能有效控制藻源性溶解性有机质释放.同时,打捞区水-气界面CH₄通量呈显著下降趋势,未打捞区CH₄通量平均值（17.473±1.514 nmol/（m²·s））为打捞区（7.004±4.163 nmol/（m²·s））近2倍,CH₄通量与Chl.a、C1、C3组分均呈显著正相关,水体中藻源性溶解态有机质对CH₄通量具有促进作用;打捞区CO₂释放通量呈显著上升趋势,打捞区CO₂吸收通量（-0.200±0.069 μmol/（m²·s））明显低于未打捞区（-0.344±0.017 μmol/（m²·s））,CO₂通量与Chl.a、温度均呈显著负相关.秋季打捞对CH₄、CO₂综合日平均通量减排量值为0.275±0.076 mol/（m²·d）（以CO₂当量计）.研究结果揭示了巢湖秋季连续打捞蓝藻过程对水-气界面温室气体具有显著减排作用,且能在一定程度上减缓蓝藻水华与湖泊富营养化、气候变暖之间的恶性循环,为湖泊碳循环和蓝藻水华灾害防控提供科学数据支撑和理论参考.     

Carbon dioxide,methane, and dissolved carbon dynamics in an urbanized river system

Estimates of greenhouse gas evasion from rivers have been refined over the past decades to constrain their role in global carbon cycle processes. However, despite 55% of the human population living in urban areas, urban rivers have had limited attention. We monitored carbon dynamics in an urbanized river (River Kelvin, 331 km², UK) to explore the drivers of dissolved carbon lateral and vertical export. Over a 2-year sampling period, riverine methane (CH₄) and carbon dioxide (CO₂) concentrations were consistently oversaturated with respect to atmospheric equilibria, leading to continual degassing to the atmosphere. Carbon stable isotopic compositions (δ¹³C) indicated that terrestrially derived carbon comprised most of the riverine CH₄ and dissolved CO₂ (CO₂*) load while dissolved inorganic carbon (DIC) from groundwater was the main form of riverine DIC. The dynamics of CH₄, CO₂*, and DIC in the river were primarily hydrology-controlled, that is, [CH₄] and [CO₂*] both increased with elevated discharge, total [DIC] decreased with elevated discharge while the proportion of biologically derived DIC increased with increasing discharge. The concentration of dissolved organic carbon (DOC) showed a weak relationship with river hydrology in summer and autumn and was likely influenced by the combined sewer overflows. Carbon emission to the atmosphere is estimated to be 3.10 ± 0.61 kg C·m⁻²·yr⁻¹ normalized to water surface area, with more than 99% emitted as CO₂. Annual carbon loss to the coastal estuary is approximately 4.69 ± 0.70 Gg C yr⁻¹, with annual DIC export approximately double that of DOC. Per unit area, the River Kelvin was a smaller carbon source to the atmosphere than natural rivers/streams but shows elevated fluxes of DIC and DOC under comparable conditions. This research illustrates the role urban systems may have on riverine carbon dynamics and demonstrates the potential tight link between urbanization and riverine carbon export.     

Spatial and temporal variations of pCO2, dissolved inorganic carbon and stable isotopes along a temperate karstic watercourse

This study investigated CO₂ degassing and related carbon isotope fractionation effects in the Wiesent River that drains a catchment in the karst terrain of the Franconian Alb, Southern Germany. The river was investigated by physico‐chemical and stable isotope analyses of water and dissolved inorganic carbon during all seasons along 65‐km long downstream transects between source and mouth. Calculated pCO₂ values at the source were 21 400 ± 2400 µatm. The pCO₂ rapidly decreased in the river water and dropped to an average of 1240 ± 330 µatm near the mouth. About 90% of this decrease occurred within the first 6 km of the river. The river was supersaturated with respect to CO₂ over its entire course and must have acted as a continuous year‐round CO₂ source to the atmosphere. The average CO₂ flux from the karst river was estimated with 450 mmol m^?2 day^?1 with higher fluxes up to 5680 mmol m^?2 day^?1 at the source. At the source, δ¹³C_DIC values showed no seasonal variations with an average of ?14.2 ± 0.2‰. This indicated that groundwater retained high pCO₂ mainly from soil CO₂. The contribution of soil CO₂ to dissolved inorganic carbon was estimated at 65% to 72%. The downstream CO₂ loss caused a positive shift in δ¹³C_DIC values of 2‰ between source and mouth because of the preferential loss of the ¹²C isotope during degassing. Considering the findings of this study and the fact that carbonate lithology covers a significant part of the earth's surface, CO₂ evasion from karst regions might contribute notably to the annual carbon dioxide release from global freshwater systems. Copyright © 2015 John Wiley & Sons, Ltd.     

New remote sensing techniques for the detection and quantification of earth surface CO2 degassing

Earth degassing specifically of carbon dioxide CO₂ is of increasing interest with respect to the global carbon budget, related climate effects, earthquake and volcano eruption mechanisms, as well as plant physiological reactions in gas-rich environments. Investigations in all of these disciplines require the detection of surface CO₂ degassing structures and quantification of their emissions. We introduce minimal thermal change detection based on infrared imaging as a new remote sensing tool for the detection of earth surface thermal anomalies suiting among others to discover earth degassing locations of any origin. The method allows for seamless areal search and monitoring of degassing structures in any terrain. As proof of concept infrared imaging measurements were performed at the Bossoleto vent on the eastern master fault of the Siena Graben (Tuscany, Italy). It is known for the migration of a large amount of CO₂-rich gas from deep geothermal reservoirs. Field data acquired confirmed the qualification of the method. Detection of CO₂ degassing locations from infrared image time series worked reliably and optimal detection conditions were identified (dry, calm, cloudless weather between dusk and dawn). A simple model of heat exchange processes involved and observed was developed. In a first attempt this model was applied to determine the gas exit temperature, the area of gas thermal reach and the gas flux from recorded image series. It is the first method that allows remote areal survey of mofette fields and the associated CO₂ flux quantification sole from infrared image time series.     

Carbon fluxes in the China Seas: An overview and perspective

This paper aims to provide an overview of regional carbon fluxes and budgets in the marginal seas adjacent to China.The "China Seas" includes primarily the South China Sea, East China Sea, Yellow Sea, and the Bohai Sea. Emphasis is given to CO_2 fluxes across the air-sea interface and their controls. The net flux of CO_2 degassing from the China Seas is estimated to be9.5±53 Tg C yr~(-1). The total riverine carbon flux through estuaries to the China Seas is estimated as 59.6±6.4 Tg C yr~(-1). Chinese estuaries annually emit 0.74±0.02 Tg C as CO_2 to the atmosphere. Additionally, there is a very large net carbon influx from the Western Pacific to the China Seas, amounting to ～2.5 Pg C yr~(-1). As a first-order estimate, the total export flux of particulate organic carbon from the upper ocean of the China Seas is 240±80 Tg C yr~(-1). This review also attempts to examine current knowledge gaps to promote a better understanding of the carbon cycle in this important region.     

Hydropower – A Green Energy? Tropical Reservoirs and Greenhouse Gas Emissions

Reservoirs are man‐made lakes that severely impact on river ecosystems, and in addition, the new lake ecosystem can be damaged by several processes. Thus, the benefits of a reservoir, including energy production and flood control, must be measured against their impact on nature. New investigations point out that shallow and tropical reservoirs have high emission rates of the greenhouse gases CO₂ and CH₄. The methane emissions contribute strongly to climate change because CH₄ has a 25 times higher global warming potential than CO₂. The pathways for its production include ebullition, diffuse emission via the water‐air interface, and degassing in turbines and downstream of the reservoir in the spillway and the initial river stretch. Greenhouse gas emissions are promoted by a eutrophic state of the reservoir, and, with higher trophic levels, anaerobic conditions occur with the emission of CH₄. This means that a qualitative and quantitative jump in greenhouse gas emissions takes place. Available data from Petit Saut, French Guinea, provides a first quantification of these pathways. A simple evaluation of the global warming potential of a reservoir can be undertaken using the energy density, the ratio of the reservoir surface and the hydropower capacity; this parameter is mainly determined by the reservoir's morphometry but not by the hydropower capacity. Energy densities of some reservoirs are given and it is clearly seen that some reservoirs have a global warming potential higher than that of coal use for energy production.     

Export and degassing of terrestrial carbon through watercourses draining a temperate podzolized catchment

We measured spatial and temporal variations in carbon concentrations, isotopic compositions and exports during a complete hydrological cycle in nine watercourses draining a lowland forested podzolized catchment, flowing into the Arcachon lagoon (France). In addition, integrated fluxes of CO₂ across the water-atmosphere interface were estimated to assess the relative importance of CO₂ evasion versus lateral carbon transport at the catchment scale. Watercourse similarities and specificities linked to the local catchment characteristics are discussed and compared with other riverine systems. Low concentrations of suspended particulate matter and particulate organic carbon (POC) were generally measured in all the watercourses (8.4 ± 3.4 and 1.6 ± 0.6 mg L^?1, respectively), reflecting limited mechanical soil erosion. The generally high POC content in the suspended matter (20 %), low Chl a concentrations (1.3 ± 1.4 μg L^?1) and the relatively constant δ¹³C-POC value (near ?28 ‰) throughout the year reveal this POC originates from terrestrial C₃ plant and soil detritus. The presence of podzols leads to high levels of dissolved organic carbon (DOC; 6.6 ± 2.2 mg L^?1). Similarly, high dissolved inorganic carbon (DIC) concentrations were measured in the Arcachon lagoon catchment (5.9 ± 2.2 mg L^?1). The δ¹³C-DIC value around ?20 ‰ throughout the year in many small watercourses reveals the predominance of terrestrial carbon mineralisation and silicate rock weathering in soils as the major DIC source. With pCO₂ between 1,000 and 10,000 ppmv, all watercourses were a source of CO₂ to the atmosphere, particularly during the low river stage. Organic carbon parameters remained relatively stable throughout the year, whereas DIC parameters showed strong seasonal contrasts closely linked to the hydrological regime and hyporheic flows. In total, the carbon export from the Arcachon watershed was estimated at 15,870 t C year^?1 or 6 t C km^?2 year^?1, mostly exported to the lagoon as DOC (35 %), DIC (24 %) and lost as CO₂ degassing to the atmosphere (34 %).     

Simulation of crop growth and energy and carbon dioxide fluxes at different time steps from hourly to daily

Understanding the exchange processes of energy and carbon dioxide (CO₂) in the soil–vegetation–atmosphere system is important for assessing the role of the terrestrial ecosystem in the global water and carbon cycle and in climate change. We present a soil–vegetation–atmosphere integrated model (ChinaAgrosys) for simulating energy, water and CO₂ fluxes, crop growth and development, with ample supply of nutrients and in the absence of pests, diseases and weed damage. Furthermore, we test the hypotheses of whether there is any significant difference between simulations over different time steps. CO₂, water and heat fluxes were estimated by the improving parameterization method of the coupled photosynthesis–stomatal conductance–transpiration model. Soil water evaporation and plant transpiration were calculated using a multilayer water and heat‐transfer model. Field experiments were conducted in the Yucheng Integrated Agricultural Experimental Station on the North China Plain. Daily weather and crop growth variables were observed during 1998–2001, and hourly weather variables and water and heat fluxes were measured using the eddy covariance method during 2002–2003. The results showed that the model could effectively simulate diurnal and seasonal changes of net radiation, sensible and latent heat flux, soil heat flux and CO₂ fluxes. The processes of evapotranspiration, soil temperature and leaf area index agree well with the measured values. Midday depression of canopy photosynthesis could be simulated by assessing the diurnal change in canopy water potential. Moreover, the comparisons of simulated daily evapotranspiration and net ecosystem exchange (NEE) under different time steps indicated that time steps used by a model affect the simulated results. There is no significant difference between simulated evapotranspiration using the model under different time steps. However, simulated NEE produces large differences in the response to different time steps. Therefore, the accurate calculation of average absorbed photosynthetic active radiation is important for the scaling of the model from hourly steps to daily steps in simulating energy and CO₂ flux exchanges between winter wheat and the atmosphere. Copyright © 2007 John Wiley & Sons, Ltd.     

Spatio-temporal patterns of forest carbon dioxide exchange based on global eddy covariance measurements

Spatio-temporal patterns and driving mechanisms of forest carbon dioxide (CO2) exchange are the key issues on terrestrial ecosystem carbon cycles, which are the basis for developing and validating ecosystem carbon cycle models, assessing and predicting the role of forests in global carbon balance. Eddy covariance (EC) technique, an important method for measuring energy and material exchanges between terrestrial ecosystems and the atmosphere, has made a great contribution to understanding CO2 exchanges in the biosphere during the past decade. Here, we synthesized published EC flux measurements at various forest sites in the global network of eddy flux tower sites (FLUXNET) and regional flux networks. Our objective was to explore spatio-temporal patterns and driving factors on forest carbon fluxes, i.e. net ecosystem productivity (NEP), gross primary productivity (GPP) and total ecosystem respiration (TER). Globally, forest NEP exhibited a significant latitudinal pattern jointly controlled by GPP and TER. The NEP decreased in an order of warm temperate forest > cold temperate and tropical rain forests > boreal and subalpine forests. Mean annual temperature (MAT) made a greater contribution to forest carbon fluxes than sum of annual precipitation (SAP). As MAT increased, the GPP increased linearly, whereas the TER increased exponentially, resulting in the NEP decreasing beyond an MAT threshold of 20°C. The GPP, TER and NEP varied substantially when the SAP was less than 1500 mm, but tended to increase with increasing SAP. Temporal dynamics in forest carbon fluxes and determinants depended upon time scales. NEP showed a significant interannual variability mainly driven by climate fluctuations and different responses of the GPP and TER to environmental forcing. In a longer term, forest carbon fluxes had a significant age effect. The ecosystem was a net carbon source right after clearcutting, gradually switched to a net carbon sink when the relative stand age (i.e. ratio of actual stand age to the stand rotation age) approached 0.3, and maximized carbon sequestration capacity at premature or mature stand stages. This temporal pattern of NEP was correlated with stand leaf area index and associated GPP. This study highlights the significance of spatio-temporal dynamics in the CO2 exchange in forest carbon cycling studies. It is also suggested that in addition to forest biomes, interannual variations and stand age effects of forest carbon fluxes should be considered in the global carbon balance.     

Sources and variability of CO2 in a prealpine stream gravel bar

Gravel bars (GBs) contribute to carbon dioxide (CO₂) emissions from stream corridors, with CO₂ concentrations and emissions dependent on prevailing hydraulic, biochemical, and physicochemical conditions. We investigated CO₂ concentrations and fluxes across a GB in a prealpine stream over three different discharge‐temperature conditions. By combining field data with a reactive transport groundwater model, we were able to differentiate the most relevant hydrological and biogeochemical processes contributing to CO₂ dynamics. GB CO₂ concentrations showed significant spatial and temporal variability and were highest under the lowest flow and highest temperature conditions. Further, observed GB surface CO₂ evasion fluxes, measured CO₂ concentrations, and modelled aerobic respiration were highest at the tail of the GB over all conditions. Modelled CO₂ transport via streamwater downwelling contributed the largest fraction of the measured GB CO₂ concentrations (31% to 48%). This contribution increased its relative share at higher discharges as a result of a decrease in other sources. Also, it decreased from the GB head to tail across all discharge‐temperature conditions. Aerobic respiration accounted for 17% to 36% of measured surface CO₂ concentrations. Zoobenthic respiration was estimated to contribute between 4% and 8%, and direct groundwater CO₂ inputs 1% to 23%. Unexplained residuals accounted for 6% to 37% of the observed CO₂ concentrations at the GB surface. Overall, we highlight the dynamic role of subsurface aerobic respiration as a driver of spatial and temporal variability of CO₂ concentrations and evasion fluxes from a GB. As hydrological regimes in prealpine streams are predicted to change following climatic change, we propose that warming temperatures combined with extended periods of low flow will lead to increased CO₂ release via enhanced aerobic respiration in newly exposed GBs in prealpine stream corridors.