Environmental controls over carbon exchange of three forest ecosystems in eastern China

National Natural Science Foundation of China [30590381, 30670384]; Knowledge Innovation Project of the Chinese Academy of Sciences [KZCX2-YW-432]; National Key Research and Development Program [2002CB412501]; 'Hundred Talents' Program of the Chinese Acade

Distribution characteristics of matrix-bound phosphine along the coast of China and possible environmental controls

Matrix-bound phosphine (MBP) concentrations in surface sediments collected from 37 stations along the coast of China in 2006 are reported. MBP was found in all samples and the average concentration was 6.30 ng kg(-1) dry weight (dw). The distribution of MBP showed certain spatial variation characteristics with high MBP concentrations at stations near to the coast. The average concentrations of MBP in the northern Yellow Sea (NYS), the southern Yellow Sea (SYS), the northern area of East China Sea (NECS), the southern area of East China Sea (SECS), and South China Sea (SCS) were 5.57 +/- 3.78, 3.78 +/- 2.81, 5.27 +/- 3.07, 5.48 +/- 4.05 and 13.52 +/- 7.86 ng kg(-1) dw. respectively. The correlations between MBP and influencing factors, such as the sedimentary environmental characteristics (sediment type, the grain size, contents of phosphorous, organic matters and redox potential) and the aquatic environmental characteristics (temperature, salinity, depth and hydrodynamics) were studied. The results indicated that MBP was strongly influenced by various factors, such as total phosphorus (TP), organic phosphorus (OP), organic carbon (OC), the grain size and hydrodynamics, all of which not only offered reasonable interpretations for the distribution characteristics of MBP but also provided evidence to support the viewpoint that phosphine originated from OP decomposition. This work is the first comprehensive study of the distribution of MBP along the coast of China and its relationships with environmental factors which will lead to a better understanding of the phosphorus (P) biogeochemical cycle in the sea. (C) 2008 Elsevier Ltd. All rights reserved.

Short-term variation of CO2 flux in relation to environmental controls in an alpine meadow on the Qinghai-Tibetan Plateau

[1] The alpine meadow ecosystem on the Qinghai-Tibetan Plateau may play a significant role in the regional carbon cycle. To assess the CO2 flux and its relationship to environmental controls in the ecosystem, eddy covariance of CO2, H2O, and energy fluxes was measured with an open-path system in an alpine meadow on the plateau at an elevation of 3,250 m. Net ecosystem CO2 influx (Fc) averaged 8.8 g m(-2) day(-1) during the period from August 9 to 31, 2001, with a maximum of 15.9 g m(-2) day(-1) and a minimum of 2.3 g m(-2) day(-1). Daytime Fc averaged 16.7 g m(-2) day(-1) and ranged from 10.4 g m(-2) day(-1) to 21.7 g m(-2) day(-1) during the study period. For the same photosynthetic photon flux density (PPFD), gross CO2 uptake (Gc) was significantly higher on cloudy days than on clear days. However, mean daily Gc was higher on clear days than on cloudy days. With high PPFD, Fc decreased as air temperature increased from 10degreesC to 23degreesC. The greater the difference between daytime and nighttime air temperatures, the more the sink was strengthened. Daytime average water use efficiency of the ecosystem (WUEe) was 8.7 mg (CO2)(g H2O)(-1); WUEe values ranged from 5.8 to 15.3 mg (CO2)(g H2O)(-1). WUEe increased with the decrease in vapor pressure deficit. Daily albedo averaged 0.20, ranging from 0.19 to 0.22 during the study period, and was negatively correlated with daily Fc. Our measurements provided some of the first evidence on CO2 exchange for a temperate alpine meadow ecosystem on the Qinghai-Tibetan Plateau, which is necessary for assessing the carbon budget and carbon cycle processes for temperate grassland ecosystems.

Carbon dioxide dynamics and controls in a deep-water wetland on the Qinghai-Tibetan Plateau

To initially characterize the dynamics and environmental controls of CO2, ecosystem CO2 fluxes were measured for different vegetation zones in a deep-water wetland on the Qinghai-Tibetan Plateau during the growing season of 2002. Four zones of vegetation along a gradient from shallow to deep water were dominated, respectively by the emergent species Carex allivescens V. Krez., Scirpus distigmaticus L., Hippuris vulgaris L., and the submerged species Potamogeton pectinatus L. Gross primary production (GPP), ecosystem respiration (Re), and net ecosystem production (NEP) were markedly different among the vegetation zones, with lower Re and GPP in deeper water. NEP was highest in the Scirpus-dominated zone with moderate water depth, but lowest in the Potamogeton-zone that occupied approximately 75% of the total wetland area. Diurnal variation in CO2 flux was highly correlated with variation in light intensity and soil temperature. The relationship between CO2 flux and these environmental variables varied among the vegetation zones. Seasonal CO2 fluxes, including GPP, Re, and NEP, were strongly correlated with aboveground biomass, which was in turn determined by water depth. In the early growing season, temperature sensitivity (Q(10)) for Re varied from 6.0 to 8.9 depending on vegetation zone. Q(10) decreased in the late growing season. Estimated NEP for the whole deep-water wetland over the growing season was 24 g C m(-2). Our results suggest that water depth is the major environmental control of seasonal variation in CO2 flux, whereas photosynthetic photon flux density (PPFD) controls diurnal dynamics.

玉米农田水热碳通量动态及其环境控制机理研究

陆地生态系统与大气之间的水热碳交换是物质、能量循环的关键过程，一直以来都为研究者们所关注。进入20 世纪以来，特别是随着人们对全球气候变暖的逐步认识，气候变化对水热碳交换过程的影响及其对气候变化的响应研究更加备受关注。本研究以2004~2006 年近三年的涡度相关系统连续观测数据为依托，分析了雨养玉米农田水热碳通量的动态及其影响因子。研究表明，玉米农田水热通量(WHF) 呈显著的单峰型日变化， 日最大值出现在正午12:00~13:00，WHF 变化同步。潜热通量(LE)的季节变化规律与日变化相似，冬季小夏季大，年最大值与最小值分别出现在7 月和1 月。显热通量(Hs) 季节变化也呈单峰型，但年最大值出现在5 月，这主要与降水以及作物生长有关。半小时尺度上，WHF 主要受辐射控制，而日峰值受辐射峰值以及植被生长的双重影响；日尺度上，只要有降水过程，Hs 就会随土壤水分的增大而减小，降水停止后逐渐恢复。而降水对LE 的影响受到可用能量(AE)的干扰，表现出复杂的变化趋势。总的来说，降水持续时间越长AE 越少，对LE 的抑制越大；季节尺度上，WHF 受热量与水分的双重制约。Hs 随着天气回暖后第一次较大降水过程的出现呈现明显下降，而LE 则呈现相反的变化趋势。随着雨季到来和作物的生长，Hs 在7 月出现低谷，而LE 呈现相反的趋势随着降水量的增加而增大；年际间WHF 的分布规律大体一致，但因气象条件等的差异，特别是降水的差异造成年际间WHF 略有不同。在不同水文年型下，水分因子的影响作用有显著差异，且WHF 对热量与水分条件变化的敏感程度也不相同。欠水年，水分因子的作用更显著，是制约WHF 变化的主要控制因子，WHF 对水分的变化更敏感；而丰水年，水分因子的影响减弱，热量的盈亏决定着WHF 变化的主要方向。在不同水文年型下，水热碳通量对水热条件的变化表现出不同的响应方式，为研究生态系统对气候变化的响应提供了参考。 净碳(C)吸收期，玉米农田净碳交换(NEE)呈显著的日变化，在日出以后由CO2 释放转变为CO2 吸收，12:30 左右达到一天中的吸收峰值，日落前出现相反的转换。而净C 释放期内，NEE 均为正值且无明显日变化。NEE 季节变化也呈单峰型二次曲线，在7 月下旬或8 月上旬达到年最大吸收率。根据NEE 的正负，一年分为三个阶段：两个C 排放期与一个C 吸收期。一般C 吸收期从6月开始到9 月结束，此前此后均为C 排放期。在半小时、日时间尺度上，光通量密度(PPFD)与NEE 有着相似的变化规律，是控制NEE 的主要因子；在日、季节尺度上，叶面积指数(LAI)和气孔导度(gs)是影响NEE 的主要生物因子，且gs 的影响程度随着发育期的变化而变化，而不同年份间LAI 对NEE 的影响没有显著的差异。几乎在所有时间步长上，土壤温度(Ts)均为生态系统呼吸(Re)的主要控制因子，时间尺度愈短，二者的相关性愈好。总的来说，在较短时间尺度上，高PPFD 与夏季低温将会促进C 的吸收，有利于C 累积。 玉米农田日最大净C 吸收速率(NEEmax, daily)以及吸收释放转换点(NEE=0)均受PPFD 控制。NEEmax, daily 出现时间与PPFDmax, daily 出现时间几乎完全一致，当PPFD 达到1 日内极大值时，净C 吸收也相应达到了日最大值。但NEEmax, daily的量值还受到其它因子的影响。当水分条件充足时，还将受到LAI、gs 等生物因子的控制。NEE 由正转为负的转换点也是由PPFD 决定。当PPFD 稳定大于PPFD*( PPFD*=100 μmol•m-2s -1)时，净C 吸收开始；当PPFD 稳定小于PPFD*时，净C 吸收由此结束。1 日内，PPFD 稳定通过PPFD*之间的时间间隔决定了日净C 吸收的时间长度。日净C 吸收的时间越长，吸收量也越大，且有明显的季节变化，7 月最长9 月最短。 按照热量水分状况将三年分组，分为I 组(水分状况相似，热量条件不同)与II 组(热量条件相似，水分状况不同)。 I 组年际间PPFD 波动是造成C 交换格局变化的关键原因。而II 组年际间C 交换格局不同是由降水量及其不同分布引起的土壤含水量(SWC)变化是造成。SWC 可以解释年际间NEE 变异的97%，而大气水汽压亏缺(VPD)可以解释30.7%；温度因子通过影响C 收支中的呼吸项，间接影响着生态系统的NEE，它可以解释年际间NEE 变异的73.9%，也是造成年际间C 交换格局不同的原因之一；另外，PPFD 和发育期早晚以及净C吸收期长度等也同样影响着C 交换格局的变化。综合两组情况来看，由水分条件年际变化引起的NEE 的波动大于能量年际变化引起的波动。总之，在较长时间尺度上，NEE 对SWC 变化比其对PPFD 变化更敏感，说明在半干旱地区土壤水分条件仍然是决定C 交换格局的主导因子。 NEE 与LE 呈线性相关，它们之间的相关性主要受温度和NEE 的控制，温度越高，二者的相关性越弱，而NEE 越大二者相关性越好。同时，作物蒸腾与土壤蒸发的比例也是影响NEE 与LE 之间关系的主要因素。蒸腾作用所占的比例越大，二者的线性关系越显著，而土壤蒸发比例越大，二者的相关性越弱。总的来说，NEE 与LE 之间的线性关系有明显的季节变化，生长季好于非生长季，夏天好于冬天。 总之，雨养玉米农田水热碳通量既具有其它农田生态系统共有的动态特征，也具有其特有特征。

辽河三角洲芦苇湿地生态系统水碳通量动态及其控制机制

全球变化背景下人类生存环境及社会经济的可持续发展要求，使得水循环和碳循环成为科学研究的关注点。湿地与森林、海洋并称为全球三大生态系统，与生态平衡、人类生存和经济社会可持续发展息息相关，特别是湿地的碳汇功能使得其在全球碳循环中具有重要作用。我国湿地面积占亚洲第一位，世界第四位，占世界湿地面积的11.9% 。但是，与森林、草地与农田等生态系统相比，湿地水碳循环控制机制研究的甚少，制约着湿地生态系统的水碳管理。 本论文基于2005~2007 年盘锦芦苇湿地生态系统野外观测站的涡度相关系统的水碳通量和气象环境因子的连续观测数据，结合芦苇湿地生态系统的生物学调查资料，较系统地分析了芦苇湿地生态系统水汽通量和碳通量的动态特征，探讨了不同时间尺度芦苇湿地生态系统水汽通量和碳通量的环境控制机制。主要结论如下： (1)芦苇湿地生态系统蒸散的日、季变化显著。2005~2007 年盘锦芦苇湿地生态系统的年蒸散量分别为432、480 和445 mm。非生长季(11 月~次年4 月)对全年蒸散量的贡献约13~16%，表明在湿地蒸散年总量的估算中不能忽略非生长季的贡献。 (2)关于动力作用和热力作用对芦苇湿地蒸散的贡献表明，能量是驱动芦苇湿地蒸散的重要因素，在小时至月尺度上均起着主导作用；时间尺度越长，能量因子对蒸散变异的解释率越大。仅温度就能解释蒸散月总量变异的95%左右。但是，随着时间尺度的降低，水分条件如饱和水汽压差、相对湿度，对芦苇湿地蒸散的作用逐渐显现。降雨和蒸散的变化虽然没有统计上的相关性，但短时段的降雨可能导致雨后蒸散增强，而持续多天的阴雨天气却能导致蒸散量连续下降。 (3)基于芦苇湿地生态系统作物系数(kc)具有显著日间变异的事实，发展了耦合气温、相对湿度和净辐射影响的芦苇湿地日作物系数模型，弥补了国际粮农组织建议的蒸发散估算模型FAO56 缺乏适宜湿地作物系数的不足。 (4)芦苇湿地生态系统呼吸呈单峰型季节变化，2005~2007 年生态系统呼吸的年总量分别为834、894 和872 g C m-2 yr-1，非生长季芦苇湿地的生态系统呼吸碳排放量为102~136 g C m-2 season-1，占全年生态系统呼吸总量的12~16%。这说明，非生长季湿地生态系统的碳排放通量不可忽视。温度是小时至月尺度的生态系统呼吸控制因子；同时，生物因素也对芦苇湿地生态系统呼吸有显著影响。生态系统呼吸对温度的响应呈指数函数关系，二者间的响应受土壤水分的影响。当表层土壤含水量(5 cm) 为20~25%时，芦苇湿地生态系统呼吸的潜力(Reco,10)最大。生态系统呼吸的日值与地上生物量、叶面积指数呈对数正相关，而与冠层高度呈显著二次曲线关系。生态系统呼吸的年际差异并不是由温度变化引起，而与植被生长状况密切相关。 (5)芦苇湿地生态系统的净碳交换季节变化明显，变化范围在-12.9~4.2 g C m-2 day-1 之间。一般在5~9 月表现为大气CO2 的汇，其余月份为碳源。其中，净碳吸收最大的月份为6、7 月，而净碳排放最大的月份为4、10 月。2005~2007 年的年碳收支分别为-55、-230 和-53 g C m-2 yr-1，呈碳汇。 (6)不同时间尺度的净碳交换控制因子不同。小时尺度上，影响芦苇湿地生态系统净碳交换的环境因子主要是光合有效辐射(PAR) 。芦苇湿地生态系统光合作用的光响应参数(α、Amax 和Reco)随温度指数上升，而与叶面积指数呈线性正相关。光响应参数的这种显著季节波动表明，在生态系统碳循环模型中不应该将生态系统的光合作用参数视为常数，应该考虑采用光响应参数与环境和生物因子间的定量关系来反映光合作用光响应参数动态。日尺度上，温度是芦苇湿地碳交换的主要控制因子，湿地净碳交换在15℃左右由正值变为负值，芦苇湿地由碳源变为碳汇。除温度外，饱和水汽压差对日尺度净碳交换波动也有影响，二者呈二次曲线关系(U 型)，当饱和水汽压差在0.8 kPa 附近时，芦苇湿地净碳吸收达到最大。月尺度上，影响芦苇湿地净碳交换的主要环境因子依然是温度，二者间表现出“非对称响应”特征。 (7)对芦苇湿地碳交换各组分间的关系分析表明，芦苇湿地生态系统呼吸和净碳交换均受总光合生产力的显著影响，即通过光合作用产物来源控制。

Impact of cloudiness on net ecosystem exchange of carbon dioxide in different types of forest ecosystems in China

Asia 3 Foresight Program [30721140307]; National Key Research and Development Program [2010CB833500]; National Natural Science Foundation of China [30590381, 30900198];

Characterizing evapotranspiration over a meadow ecosystem on the Qinghai-Tibetan Plateau

To characterize evapotranspiration (ET) over grasslands on the Qinghai-Tibetan Plateau, we examined ET and its relevant environmental variables in a Kobresia meadow from 2002 to 2004 using the eddy covariance method. The annual precipitation changed greatly, with 554, 706, and 666 mm a(-1) for the three consecutive calendar years. The annual ET varied correspondingly to the annual precipitation with 341, 407, and 426 mm a(-1). The annual ET was, however, constant at about 60% of the annual precipitation. About 85% annual ET occurred during the growing season from May to September, and the averaged ET for this period was 1.90, 2.23, and 2.22 mm/d, respectively for the three consecutive years. The averaged ET was, however, very low (< 0.40 mm/d) during the nongrowing season from October to April. The annual canopy conductance (gc) and the Priestley-Taylor coefficient (a) showed the lowest values in the year with the lowest precipitation. This study first demonstrates that the alpine meadow ecosystem is characterized by a low ratio of annual ET to precipitation and that the interannual variation of ET is determined by annual precipitation.

Detection of hepatotoxic Microcystis strains by PCR with intact cells from both culture and environmental samples

Microcystins are small hepatotoxic peptides produced by a number of cyanobacteria. They are synthesized non-ribosomally by multifunctional enzyme complex synthetases encoded by the mcy genes. Primers deduced from mcy genes were designed to discriminate between toxic microcystin-producing strains and non-toxic strains. Thus, PCR-mediated detection of mcy genes could be a simple and efficient means to identify potentially harmful genotypes among cyanobacterial populations in bodies of water. We surveyed the distribution of the mcyB gene in different Microcystis strains isolated from Chinese bodies of water and confirmed that PCR can be reliably used to identify toxic strains. By omitting any DNA purification steps, the modified PCR protocol can greatly simplify the process. Cyanobacterial cells enriched from cultures, field samples, or even sediment samples could be used in the PCR assay. This method proved sensitive enough to detect mcyB genes in samples with less than 2,000 Microcystis cells per ml. Its accuracy, specificity and applicability were confirmed by sequencing selected DNA amplicons, as well as by HPLC, ELISA and mouse bioassay as controls for toxin production of every strain used.

Environmental Mechanics Research in China

By recalling mankind's path during past 50 years in the present article, we mainly highlight the significance of environmental issues today. In particular, two major factors leading to environment deterioration in China such as water resources and coal burning are stressed on. Present-day environmental issues are obviously interdisciplinary, of multiple scales and multi-composition in nature. Therefore, a process-based approach for environment research is absolutely necessarily. A series of sub-processes, either physical, chemical or biological, are subsequently analyzed in order to established reasonable parameterization scheme and credible comprehensive model. And we are now in a position to answer questions still open to us, improve existing somewhat empirical engineering approaches and enhance quantitative accuracy in prediction. To illustrate this process-based research approach, three typical examples associated with the Yangtze River Estuary, Loess Plateau and Tenggeli Desert environments have been dealt with respectively. A theoretical model of vertical flow field accounting for runoff and tide interaction has been established to delineate salinity and sediment motion which are responsible for the formation of mouth bar at the outlet and the ecological evolution there. A kinematic wave theory combined with the revised Green-Ampt infiltration formula is applied to the prediction of runoff generation and erosion in three types of erosion region on the Loess Plateau. Three approaches describing water motion in SPAC system in arid areas at different levels have been improved by introducing vegetation sub-models. However, we have found that the formation of a dry sandy layer and biological crust skin are additional primary causes leading to deterioration of water supply and succession of ecological system.