SIMULATING SEASONAL AND INTERANNUAL VARIATIONS OF ECOSYSTEM EVAPOTRANSPIRATION AND ITS COMPONENTS IN INNER MONGOLIA STEPPE WITH VIP MODEL

 利用内蒙古羊草草原(Leymus chinensis)生态系统通量观测站的气象数据、野外实测和MODIS叶面积指数(Leaf area index, LAI), 应用基于生态系统过程的VIP(Vegetation interface process)模型, 以半小时为步长, 模拟分析了羊草草原生态系统2003～2005年(分别为平水年、平水年和干旱年)蒸散及其分量的变化过程。通过与通量数据对比, VIP模型能够很好地模拟羊草草原生态系统的蒸散过程(R² = 0.80), 在峰值大小和变化趋势上, 模拟值与实测值有较好的一致性。模拟结果显示: 3年蒸散量分别为337、338和223 mm; 在降水相对充沛的2003和2004年, 蒸腾量为192和171 mm, 而降水相对较少的2005年, 蒸腾量仅为96 mm; 年平均蒸腾和蒸发对蒸散的贡献基本持平; 生长季蒸散占全年的83%, 6月开始, 蒸腾大于蒸发, 蒸散和蒸腾的月总值均在7、8月达到最大值,两月蒸散占全年的43%。LAI是影响蒸散的主要因素, 其次是降水, 而净辐射对蒸散的影响较小。在生长季, 蒸发的季节变化平缓, 蒸散的差异主要体现在蒸腾的差异。     

生态模型在农田蒸散及土壤水分模拟中的适用性评价

为评价生态模型在农田蒸散及土壤水分运动模拟中的适用性,利用2013—2015年南京农业气象测站观测数据,评估了BEPS(Boreal Ecosystem Productivity Simulator)模拟冬小麦农田生态系统逐日蒸散及与土壤水分动态的可靠性,并进一步开展了植被冠层蒸腾和农田土壤蒸发分离。模拟结果表明:BEPS适用于研究冬小麦农田蒸散量及土壤水分运动规律;由于考虑了叶片聚集指数和冬小麦根系垂直分布递减系数随生育期变动的参数化改进,BEPS分别可以解释2013—2014年和2014—2015年两个生长季农田生态系统蒸渗仪实测蒸散量变化的83%和74%,参数化改进前后模型效率ME相当(前:0.8,后0.74),标准差RMSE(前:1.50,后1.05),平均偏差MBE(前:0.5,后0.35),误差减小;两个生长季中,土壤蒸发占冠层上方总蒸散的比例随生育进程而变化,全生育期发散比平均值分别为34%和29%;BEPS模拟的0~40 cm土层深度土壤水分随时间变化趋势与实测值基本一致,可以解释78%以上的土壤水分实测值变化,并能快速地响应降水变化。本研究表明,生态模型可以用于模拟冬小麦农田蒸散和土壤水分变化,并有助于厘定农田冠层中难以区分的植被蒸腾和土壤蒸发的比例关系,可为进一步开展气候变化背景下的区域蒸散发评估及与之相联系的农田节水管理奠定基础。     

宁夏六盘山人工林和天然林生长季的蒸散特征

为了系统地认识森林生态系统结构对蒸散特征的影响,2009年5-10月,应用热扩散技术和传统水文学方法,对六盘山香水河小流域华北落叶松人工林和华山松天然林的蒸散及分量进行对比研究.结果表明: 华北落叶松人工林生长季总蒸散量为518.2 mm,是同期降雨量的104.6%,远高于天然林蒸散量420.5 mm.两种林分总蒸散量在其垂直层次上的分配比例相近,表现为冠层蒸腾量>草本+土壤层蒸散量>灌木蒸腾量,但林分各组成分量占总蒸散量的比例明显不同.其中,人工林冠层月均截留量和蒸腾量为19.6和25.2 mm,分别是天然林的1.2和1.9倍;人工林灌木层月均蒸腾量为 4.4 mm,占天然林的23.4%;人工林草本+土壤层月均蒸散量为37.1 mm,是天然林的1.8倍.采用Penman-Monteith方程对林分的实测蒸散量进行对比检验,两种方法对林分蒸散量的估计值基本接近.
     

玉米农田蒸散过程及其对气候变化的响应模拟

应用基于生理生态学过程的EALCO模型,对玉米农田生态系统的蒸散(ET)过程进行了模拟,在模型检验基础上,使用该模型模拟了玉米农田生态系统ET过程对未来气候变化的响应。结果表明,EALCO模型中能量与水过程的动态耦合机制使模型能够较好地模拟农田蒸散过程,基于涡度相关法的观测值与模型模拟值在小时、日尺度上均吻合较好,模型可以解释67%的日蒸散的变化特征。对土壤蒸发与冠层蒸腾的分别模拟显示,生长季土壤蒸发约占ET的36%。温度的升高会引起ET与冠层蒸腾的增加,同时土壤蒸发减少;ET对降水减少的响应较为敏感,主要表现在土壤蒸发的下降。大气CO2浓度升高对冠层蒸腾影响显著,该情景下冠层蒸腾下降幅度最大。研究所假设的2100年气候情景下,该农田生态系统生长季蒸散将减少,然而相对于降水的减少而言,蒸散的减少量较小,即水分支出项相对增加,因此,发生土壤水分匮乏的可能性加大,这可能会加剧该地区的暖干化趋势,给作物产量及生态环境带来威胁。     

基于Shuttleworth-Wallace模型的科尔沁沙地流动半流动沙丘蒸散发模拟

陆面蒸散发在气候调节和维持区域水量平衡中起关键作用.量化蒸散发及其各组分项,对深刻揭示干旱半干旱地区的生态水文过程具有重要意义.本研究基于科尔沁沙地流动半流动沙丘2017年生长季气象监测系统的原位监测数据,利用Shuttleworth-Wallace(S-W)模型对沙丘蒸散发进行模拟,在此基础上,对蒸散各组分进行拆分,并利用涡度相关对模拟蒸散发值进行验证.结果表明: 整个生长季模型模拟蒸散发值为308 mm,涡度相关实测值为296 mm,偏差较小,证明S-W模型适用于该地区的蒸散发模拟.蒸散发整体呈生长旺盛期>生长后期>生长初期,分别为192、71和45 mm,分别占总量的62.3%、23.1%和14.6%.日尺度上模型模拟值与实测蒸散发值一致性较高,模型模拟精度大体表现为: 晴天>阴天>雨天,且阴雨天模型模拟值较涡度相关实测值偏低.经拆分,土壤蒸发和植被蒸腾分别为176和132 mm,分别占总量的57.1%和42.9%,表明沙地水分利用效率较低.持续干旱和降水后,蒸散发规律明显不同,且土壤蒸发对降水的敏感性强于植被蒸腾.     

温带阔叶红松林生态系统潜热通量模拟——气孔导度组合模型在Shuttleworth-Wallace双源模型中的应用

叶片水平的气孔导度组合模型已被成功扩展到冠层水平,并被应用于冬小麦生态系统潜热通量的模拟研究,但该研究仅基于1a的数据,有必要研究模型在更长时间尺度和其它生态系统类型的适用性.以长白山阔叶红松林(CBS)为研究对象,将组合模型进一步应用于Shuttleworth-Wallace双源模型,模拟了CBS 3a生长季内的潜热通量,利用涡度相关系统观测的潜热通量数据对模型进行验证,并对比了双源模型与单源模型的模拟结果.结果显示,双源模型较单源模型能取得更高的模拟精度,生长季不同时期的潜热通量模拟值和实测值的日变化较一致.对双源模型模拟值和实测潜热通量的相关分析显示,二者直线回归斜率和R2分别为0.96和0.72.对长白山阔叶红松林生态系统的蒸散和植被蒸腾的季节和年际变异分析发现,影响冠层蒸散和植被蒸腾季节动态的主要因素是饱和差和辐射,而影响它们年际动态的主要因素则是饱和差和温度.     

基于模型数据融合的中国温带和亚热带典型森林生态系统碳通量模拟

生态系统碳循环过程对水分响应的研究已成为全球变化关注的焦点问题之一。基于长白山温带针阔混交林与千烟洲亚热带人工针叶林观测站2003—2009年生长季的碳通量(NEE)和气象观测数据,综合考虑水分对光合、呼吸作用的影响,构建不同的NEE模型,并应用模型数据融合方法优化模型参数、遴选最适模型,系统分析了水分因子对不同森林生态系统碳循环的影响。结果表明:(1)优化后的模型参数均能被NEE实测数据较好约束。长白山生长季的光合、呼吸参数值均高于千烟洲,未考虑空气饱和水汽压差(VPD)的模型高估了千烟洲温度敏感性参数(Q10)值、低估了千烟洲基础呼吸速率参数(BR)值;(2)仅考虑VPD对光合作用影响的模型是长白山生长季碳通量模拟的最优模型,但模拟精度提高不显著。不同模型间碳通量组分模拟结果差异较小;(3)考虑VPD和土壤含水量对光合、呼吸作用共同影响的模型是千烟洲生长季碳通量模拟的最优模型,并且显著提高了模拟精度。未考虑水分的模型在生长季高估了总生态系统生产力(GEP)总量2.0%(21.85 g C/m~2),同时更大幅度地高估了生态系统呼吸(RE)总量4.4%(38.02 g C/m~2),从而导致NEE总量低估于实测值7.8%(18.55 g C/m~2)。     

黑河流域高寒草甸生态系统水分收支及蒸散发拆分研究

水分收支是对水循环要素降水、蒸发蒸腾、径流以及土壤贮储水量变化等的定量刻画,对水资源的可持续开发及利用至关重要。基于黑河流域阿柔观测站2014和2015年水文气象观测数据,运用水量平衡理论,定量的评估了高寒草甸生态系统的水分收支动态,并结合双源模型对高寒草甸生态系统蒸散发(植被蒸腾和土壤蒸发)进行拆分及评价。研究结果表明(1)在生长季(5—9月)植被蒸腾是高寒草甸生态系统主要的耗水形式,2014和2015年生长季平均蒸散比(T/ET)分别为0.74和0.79;(2)土壤水分的剧烈变化主要发生在0—40 cm处,且受冻融过程影响显著;(3)在降水较多的年份(2014)高寒草甸生态系统水分收支基本平衡,且不受冻融影响的月份(6—9)有地表径流产生约42 mm;在正常年份(2015),生态系统呈现水分亏缺,亏缺量约为134 mm,6—9月约亏缺26 mm;(4)模型估算蒸散发(ET)与实测蒸散发具有很好的一致性,相关系数可达0.90,敏感性分析表明模型输入变量对蒸散发(ET)及蒸散比(T/ET)产生的误差较小,双源模型可以很好地实现对高寒草甸生态系统蒸散发(ET)的拆分。     

基于涡度相关法和树干液流法评价杨树人工林 生态系统蒸发散及其环境响应

 运用涡度相关(Eddy covariance)开路系统、树干液流(Sap flow)、土壤水分以及微气象观测系统, 于2006年生长季(5~10月)对北京大兴区永定河沿河沙地杨树(Populus euramericana)人工林生态系统的水量和能量平衡进行了连续测定; 分析了该系统能量平衡闭合水平及其组分分配特征, 不同水分条件下蒸发散及其各组分变化过程和分配特征, 以及影响蒸发散的主要环境因子; 并对组分求和法、土壤水分平衡法与涡度相关法测得该生态系统生长季蒸发散总量的结果进行了对比。结果表明: 生长季内该生态系统的能量闭合水平较高, 能量平衡各组分在不同土壤水分环境条件下所占比例变化较大; 在水分充足的条件下, 潜热通量在可利用能量分配过程中占优势, 显热通量在水分胁迫条件下占可提供能量的比例比潜热通量大。雨季到来之前, 土壤蒸发与植被蒸腾强度相差较小; 进入雨季后, 土壤深层水分得到补偿, 植被蒸腾显著增强而土壤蒸发强度减弱。涡度相关法所得的总蒸发散量与基于树干液流法等组分求和法得到的蒸发散结果较接近, 分别为513和492 mm。土壤水分平衡法的观测结果略高于前二者的观测结果, 雨季研究界面以下的土体也有水分交换是该方法高估蒸发散的主要原因。与环境因子的响应关系表明, 蒸发散以及蒸腾的变化过程对净辐射的响应程度比对饱和水汽压差高; 水分条件较好情况下, 蒸发散以及蒸腾的变化过程与水汽压差关系不明显, 说明水分充足时, 水汽压差不是蒸散强弱的限制因子。     

基于多种同位素模型的侧柏林生态系统蒸散组分定量拆分

为了全面认识森林生态系统蒸散各组分及其对蒸散的贡献率在日尺度上的变化规律,本研究利用同位素稳态和非稳态假设理论结合水同位素分析仪系统,对生长季侧柏林生态系统蒸散各组分进行了定量拆分和比较。结果表明: 4个测定日(2016年8月5、8、10、11日)不同来源水体的¹⁸O都呈现表层土壤水氧同位素组成(δ_S)＞枝条水氧同位素组成(δ_X)＞大气水汽氧同位素组成(δ_V),说明三者可能因同位素分馏效应表现出明显的差异。土壤蒸发水汽氧同位素组成(δ_E)在日尺度上为-26.89‰～-59.68‰,整体上呈现出先上升后下降的变化趋势;森林生态系统蒸散水汽氧同位素组成(δ_ET)为-15.99‰～-10.04‰,稳态(ISS)下植物蒸腾水汽氧同位素组成(δ_T-ISS)为-12.10‰～-9.51‰,而非稳态(NSS)下植物蒸腾水汽氧同位素组成(δ_T-NSS)为-13.02‰～-7.23‰,在日时间尺度上δ_ET与δ_T-NSS全天的变化趋势一致,在11:00—17:00 δ_ET、δ_T-ISS与δ_T-NSS三者的变化趋势近似一致。总体上,植物蒸腾量对蒸散量的贡献率表现为F_T-ISS 79.1%～98.7%,而F_T-NSS 88.7%～93.7%。这表明研究区土壤蒸发耗水远小于植被蒸腾耗水,植被蒸腾在林地蒸散中起主导作用。     

西北黑河中游荒漠绿洲农田作物蒸腾与土壤蒸发区分及作物耗水规律

利用中国生态系统研究网络临泽内陆河流域研究站绿洲农田2009年小气候、湍流交换、土壤蒸发和叶片气孔导度等综合观测试验数据,应用Shuttleworth-Wallace(S-W)双源模型以半小时为步长估算了绿洲农田玉米生长季实际蒸散量,并利用涡动相关与微型蒸渗仪实测数据对田间蒸散发量和棵间土壤蒸发量计算结果进行了检验。结果表明:S-W模型较好地估算研究区的蒸散量,并能有效区分农田作物蒸腾和土壤蒸发;全生育期玉米共耗水640 mm,其中作物蒸腾累积量为467 mm,土壤蒸发累积量为173 mm,分别占总量的72.9%和27.1%;日时间尺度上,作物蒸腾和土壤蒸发分别在0—6.3 mm/d和0—4.3 mm/d之间变化,其日平均分别为2.9和1.0 mm/d;田间供水充足,作物蒸腾与土壤蒸发比值明显受作物生长过程影响,播种—出苗期、出苗—拔节期、拔节—抽雄期、抽雄—灌浆期、灌浆—成熟期,其比值分别为0.04、0.8、7.0、5.2和1.4,不同阶段的比值差异主要受叶面积指数影响。     

Water‐use efficiency in response to climate change: from leaf to ecosystem in a temperate steppe

Water‐use efficiency (WUE) has been recognized as an important characteristic of ecosystem productivity, which links carbon (C) and water cycling. However, little is known about how WUE responds to climate change at different scales. Here, we investigated WUE at leaf, canopy, and ecosystem levels under increased precipitation and warming from 2005 to 2008 in a temperate steppe in Northern China. We measured gross ecosystem productivity (GEP), net ecosystem CO₂ exchange (NEE), evapotranspiration (ET), evaporation (E), canopy transpiration (T_c), as well as leaf photosynthesis (P_max) and transpiration (T_l) of a dominant species to calculate canopy WUE (WUE_c=GEP/T), ecosystem WUE (WUE_gep=GEP/ET or WUE_nee=NEE/ET) and leaf WUE (WUE_l=P_max/T_l). The results showed that increased precipitation stimulated WUE_c, WUE_gep and WUE_nee by 17.1%, 10.2% and 12.6%, respectively, but decreased WUE_l by 27.4%. Climate warming reduced canopy and ecosystem WUE over the 4 years but did not affect leaf level WUE. Across the 4 years and the measured plots, canopy and ecosystem WUE linearly increased, but leaf level WUE of the dominant species linearly decreased with increasing precipitation. The differential responses of canopy/ecosystem WUE and leaf WUE to climate change suggest that caution should be taken when upscaling WUE from leaf to larger scales. Our findings will also facilitate mechanistic understanding of the C–water relationships across different organism levels and in projecting the effects of climate warming and shifting precipitation regimes on productivity in arid and semiarid ecosystems.     

Control of transpiration in an irrigated Eucalyptus globulus Labill. plantation

Stomatal conductance and transpiration were measured concurrently in an irrigated Eucalyptus globulus Labill. plantation. Canopy stomatal conductance, canopy boundary layer conductance and the dimensionless decoupling coefficient (Ω) were calculated (a) summing the conductance of three canopy layers (g_c) and (b) weighting the contribution of foliage according to the amount of radiation received (g_c′). Canopy transpiration was then calculated from g_c and g_c′ for Ω = 1 (E_eq), Ω = 0 (E_imp) and by weighting E_eq and E_imp using Ω (E_Ω). E_eq, E_imp and E_Ω were compared to transpiration estimated from measurements of heat pulse velocity. The mean value of Ω was 0·63. Transpiration calculated using g_c and assuming perfect coupling (12·5 ± 0·9 mmol m^?2 s^?1) significantly overestimated measured values (8·7 ± 0·8 mmol m^?2 s^?1). Good estimates of canopy transpiration were obtained either (a) calculating E_Ω separately for the individual canopy layers or (b) treating the canopy as a single layer and using g_c′ in a calculation of E_imp (Ω = 0). The latter approach only required measurement of stomatal conductance at a single canopy position but would be unsuitable for use in combined models of canopy transpiration and assimilation. It should however, be suitable for estimating transpiration in forests regardless of the degree of coupling.     

Lychee tree parameters for water balance modeling

Lychee (Litchi chinensis Sonn.) is widely grown under irrigation in the tropical northern Thailand highlands. Water efficient irrigation requires sound irrigation scheduling for which the requisite soil moisture information can be obtained from water balance modeling. A prerequisite for water balance predictions are plant parameters which describe interception, root distribution evaporation and transpiration. These parameters depend on climate, soil, as well as plant physiology, variety and age. This study investigated the plant parameters for 7-year-old lychee trees in tropical granite landscapes, as they are as yet unavailable. Interception could be satisfactorily predicted with the modified Gash model. The Gash parameters (canopy capacity per canopy cover area (S _c), canopy cover factor (c)) were determined to be 21.8 mm and 0.22, respectively. The spatial distribution of lychee tree roots depended on slope inclination. On the level plateau position, root length density (RLD) distribution was trunk-symmetrical and could be predicted with an empirical function. On the slope, the asymmetrical and irregular root development was not predictable. The suitability of the dual crop coefficient approach predicting daily potential evaporation (E _pot) and daily potential transpiration (T _pot) rates for water balance modeling was limited due to the weak correlations of E _pot and T _pot with the potential reference evapotranspiration (ET_o). As a result, no universal values for the potential evaporation coefficient (K _e,max) and the potential transpiration coefficient (K _cb) could be determined. Hence, E _pot and T _pot measurements are mandatory if accurate E _pot and T _pot data are necessary. In the case of missing measurements, K _e,max values of 0.6 and 1.6 are recommended for rough E _pot estimates underneath and in-between the lychee tree canopies. For T _pot predictions in irrigation scheduling, a relatively high K _cb of 0.8 is recommended in order to ensure a water stress free fruit development within the irrigation season. Section Editor: R. E. Munns     

Water-use efficiency and transpiration efficiency of wheat under rain-fed conditions and supplemental irrigation in a Mediterranean-type environment

Growth and water use were measured in wheat (Triticum aestivum L.) grown in northern Syria in a typical Mediterranean climate over five seasons 1991/92–1995/96. Water use was partitioned into transpiration (T) and soil evaporation (E_s) using Ritchie's model, and water-use efficiency (WUE) and transpiration efficiency (TE) were calculated. The aim of the study was to examine the influence of irrigation and nitrogen on water use, WUE and TE. By addition of 100 kg N ha^-1, E_s was reduced from 120 mm to 101 mm under rain-fed conditions and from 143 mm to 110 mm under irrigated conditions, and T was increased from 153 mm to 193 mm under rain-fed conditions and from 215 mm to 310 mm under irrigated conditions. Under rain-fed conditions, about 35% of evapotranspiration (ET) may be lost from the soil surface for the fertilized crops and 44% of ET for the unfertilized crops. Transpiration accounted for 65% of ET for the fertilized crops and 56% for the unfertilized crops under rain-fed. As a result of this, WUE was increased by 44% for dry matter and 29% for grain yield under rain-fed conditions, and by 60% for dry matter and 57% for grain yield under irrigated conditions. Transpiration efficiency for the fertilized crops was 43.8 kg ha^-1 mm^-1 for dry matter and 15 kg ha^-1 mm^-1 for grain yield, while TE for the unfertilized crops was 33.6 kg ha^-1 mm^-1 and 12.2 kg ha^-1 mm^-1 for dry matter and grain yield, respectively. Supplemental irrigation significantly increased post-anthesis water use, transpiration, dry matter and grain yield. Water-use efficiency for grain yield was increased from 9.7 to 11.0 kg ha^-1 mm^-1 by supplemental irrigation, although WUE for dry matter was not affected by it. Irrigation did not affect transpiration efficiency for grain yield, but decreased transpiration efficiency for dry matter by 16%. This was associated with higher harvest index as a result of good water supply in the post-anthesis period and increased transpiration under irrigated conditions.     

Components and Controls of Water Flux in an Old-growth Douglas-fir–Western Hemlock Ecosystem

We report measurements of rates of sap flow in dominant trees, changes in soil moisture, and evaporation from coarse woody debris in an old-growth Douglas-fir–western hemlock ecosystem at Wind River, Washington, USA, during dry periods in summer. The measurements are compared with eddy-covariance measurements of water-vapor fluxes above the forest (E_e) and at the forest floor (E_u) to examine the components of ecosystem water loss and the factors controlling them. Daily values of E_u were about 10% of E_e. Evaporation from coarse woody debris was only about 2% of E_e. Transpiration (E_t), estimated by scaling sap-flow measurements accounted for about 70% of (E_e– E_u); transpiration from subdominant trees may account for the remainder. The daily total change in soil moisture (E_s) in the top 30 cm was larger than the net change, probably because of hydraulic redistribution of soil water by roots. Observed differences between E_s and E_e were probably because roots also extract water from greater depth, and/or because the measuring systems sample at different spatial scales. The ratio of E_t to E_s decreased with decreasing soil water content, suggesting that partitioning in water use between understory and overstory changed during the season. The rate of soil drying exceeded E_e early in the day, probably because water vapor was being stored in canopy air space and condensed or adsorbed on tree stems, lichens, and mosses. The daily variation of E_e with vapor-pressure deficit showed strong hysteresis, most likely associated with transpiration of water stored in tree stems and branches.     

Influence of mulching on the pattern of growth and water use by spring wheat and moisture storage on a fine textured soil

Eight tonnes ha^–1 of stubble were used to mulch spring wheat (Triticum aestivum) on a fine textured soil with the aim of controlling both transpiration and soil evaporation during the wet pre-anthesis phase to increase moisture supply during grain filling in the eastern wheatbelt of Western Australia. Mulching reduced leaf area per plant by reducing the culm number; consequently the green area index was reduced. Reduced culm number was associated with low soil temperature which at 50 mm depth averaged 7°C lower under the mulched crop relative to the control crop in mid-season. The smaller canopies of the mulched crop used 15 mm less water than those of the control before anthesis; this difference in water-use was due equally to reduced transpiration and soil evaporation. However, the mulched crop was unable to increase ET during grain filling, a response associated with the persistence of low soil temperature for most of the growth period. Hence, total ET for the season was significantly lower (18 mm) under the mulched crop than the control crop. At harvest, mulching did not have significant effects on total above-ground dry matter and grain yields, but it increased water use efficiency for grain yield by 18%, grain weight by almost 17% and available moisture in both uncropped and cropped plots by an average of 43 mm.To determine whether there was any residual effects of soil treatment on moisture storage during the summer fallow period, soil moisture was monitored both in cropped plots and uncropped plots, that were either mulched or unmulched during the growing season, from harvest in October 1988 until next planting in June 1989. Available moisture at next planting was correlated with moisture storage at harvest despite the differences in run-off, soil evaporation and fallowing efficiency (increase in moisture storage as a percentage of rainfall) between treatments during fallowing. Therefore, the mulched treatments had more moisture available (30 mm), mostly as a result of less water use during cropping in the previous growing season, than the unmulched treatment.The study shows that mulching may be used to restrain both transpiration and soil evaporation early in the season to increase availability of soil moisture during grain filling. Secondly, mulching during the previous growing season had little effect on soil moisture during the summer fallow period, however, the moisture saved by mulching during cropping was conserved for the following season. These results indicate the importance of evaluating mulching of winter crops in terms of crop yield in the subsequent growing season as well as in the current season in which the soil was treated.Abbreviations D through drainage - DAS days after sowing of the crop on 31 May 1988 - DM dry matter produced in the above-ground portion of the crop (kg ha^–1) - E₀ evaporation from Class A pan (mm) - E_s evaporation from uncropped soil (mm) - E_sc evaporation from soil beneath the wheat canopy (mm) - ET evapotranspiration (mm) - FE fallowing efficiency (gain in soil moisture storage/rainfall) - GAI green area index (area of green vegetation per unit land area) - GWUE water-use efficiency for grain production (grain yield/total ET, kg ha^–1mm^–1) - K extinction coefficient (see equation 1) - RO run-off of moisture from soil surface during/following rainfall (mm) - SM available soil moisture (mm) at harvest (SMh) or at planting (SMp) - WUE water-use efficiency for total above-ground dry matter yield (see GWUE)     

Intraseasonal Variation in Water and Carbon Dioxide Flux Components in a Semiarid Riparian Woodland

Abstract We investigated how the distribution of precipitation over a growing season influences the coupling of carbon and water cycle components in a semiarid floodplain woodland dominated by the deep-rooted velvet mesquite (Prosopis velutina). Gross ecosystem production (GEP) and ecosystem respiration (R _eco) were frequently uncoupled because of their different sensitivities to growing season rainfall. Soon after the first monsoon rains, R _eco was high and was not proportional to slight increases in GEP. During the wettest month of the growing season (July), the system experienced a net carbon loss equivalent to 46% of the carbon accumulated over the 6-month study period (114 g C m⁻²; May–October). It appears that a large CO₂ efflux and a rapid water loss following precipitation early in the growing season and a later CO₂ gain is a defining characteristic of seasonally dry ecosystems. The relative contribution of plant transpiration (T) to total evapotranspiration (ET) (T/ET) was 0.90 for the entire growing season, with T/ET reaching a value of 1 during dry conditions and dropping to as low as 0.65 when the soil surface was wet. The evaporation fraction (E) was equivalent to 31% of the precipitation received during the study period (253 mm) whereas trees and understory vegetation transpired 38 and 31%, respectively, of this water source. The water-use efficiency of the vegetation (GEP/T) was higher later in the growing season when the C4 grassy understory was fully developed. The influence of rain on net ecosystem production (NEP) can be interpreted as the proportion of precipitation that is transpired by the plant community; the water-use efficiency of the vegetation and the precipitation fraction that is lost by evaporation.     

基于树干液流及涡动相关技术的葡萄冠层蒸腾及蒸散发特征研究

针对西北干旱区绿洲经济作物葡萄树冠层蒸腾及蒸散发特征的相关问题,在甘肃省敦煌市南湖绿洲开展无核白葡萄树液流速率及蒸散发观测试验,采用基于热平衡原理的包裹式茎流计,详细分析了典型生长季7—9月份葡萄树蒸腾耗水规律,使用"单位叶面积上的平均液流速率SF×叶面积指数LAI"的方法,实现了从单株到林分冠层蒸腾的尺度扩展,并通过与涡动相关技术所测蒸散发数据对比,详细研究了葡萄地冠层蒸腾及蒸散发规律。结果表明:典型生长季中葡萄树液流速率日变化为单峰型曲线,日均耗水量从2.76 kg到10 kg不等,胸径越大的葡萄树日均耗水量越大;冠层蒸腾及蒸散发日变化曲线亦为单峰型,白天8:00—12:00与17:00—20:00期间,葡萄冠层蒸腾与蒸散发曲线均比较吻合,该时间段葡萄地蒸散发绝大部分来源于葡萄冠层蒸腾,而12:00—17:00之间由于午后太阳辐射强烈土壤蒸发量增加,葡萄蒸散发大于冠层蒸腾;典型生长季3个月中,葡萄冠层蒸腾量的变化范围在1.88—8.12 mm/d之间,日均冠层蒸腾量为6.12 mm/d,蒸散发在1.74 mm/d至10.78 mm/d之间,日均蒸散发量为7.13 mm/d;日均土壤蒸发量约为1.01 mm/d,只占总蒸散发量的14.2%,日均冠层蒸腾占日均蒸散发的比重达到85.8%,说明该生长阶段冠层蒸散发以作物蒸腾为主。     

Effects of fire on regional evapotranspiration in the central Canadian boreal forest

Changes in fire regimes are driving the carbon balance of much of the North American boreal forest, but few studies have examined fire‐driven changes in evapotranspiration (ET) at a regional scale. This study used a version of the Biome‐BGC process model with dynamic and competing vegetation types, and explicit spatial representation of a large (10⁶ km²) region, to simulate the effects of wildfire on ET and its components from 1948 to 2005 by comparing the fire dynamics of the 1948–1967 period with those of 1968–2005. Simulated ET averaged, over the entire temporal and spatial modeling domain, 323 mm yr⁻¹; simulation results indicated that changes in fire in recent decades decreased regional ET by 1.4% over the entire simulation, and by 3.9% in the last 10 years (1996–2005). Conifers dominated the transpiration (E_C) flux (120 mm yr⁻¹) but decreased by 18% relative to deciduous broadleaf trees in the last part of the 20th century, when increased fire resulted in increased soil evaporation, lower canopy evaporation, lower E_C, and a younger and more deciduous forest. Well‐ and poorly drained areas had similar rates of evaporation from the canopy and soil, but E_C was twice as high in the well‐drained areas. Mosses comprised a significant part of the evaporative flux to the atmosphere (22 mm yr⁻¹). Modeled annual ET was correlated with net primary production, but not with temperature or precipitation; ET and its components were consistent with previous field and modeling studies. Wildfire is driving significant changes in hydrological processes by affecting mean stand age, forest species, and energy balance. These changes, particularly in poorly drained areas, may control the future carbon balance of the boreal forest.