太湖典型草、藻型湖区紫外辐射的衰减及影响因素分析

2004年4月通过野外原位观测和实验室测定相结合的方法对东太湖和梅梁湾典型草、藻型湖区紫外辐射光谱衰减及影响因素进行了研究。结果表明,320nm(UV-B)、380nm(UV-A)的衰减系数在6.33~19.59m-1、3.41~13.64m-1间变化,对应的1%表面光强穿透深度分别为0.24~0.73m、0.35~1.35m,到达湖面的99%UV-B辐射在0.5m左右表层水就衰减完毕,东太湖和梅梁湾紫外辐射衰减系数存在明显的湖区差异;溶解性有机碳(DOC)的浓度在6.60~17.17mg/L间变化,其均值为(9.99±2.48)mg/L;375nm波长处CDOM吸收系数为1.78~6.25m-1,均值为(3.70±1.10)m-1;在短波部分CDOM吸收与DOC浓度存在显著性相关,相关性大致随波长降低而增加,320nm处的线性关系式:ad320=0.885DOC 2.182;紫外辐射衰减主要受制于水体中的CDOM浓度,衰减系数与DOC浓度、CDOM吸收系数存在显著性相关,340nm处的关系式分别为:Kd340=0.82 1.05DOC、Kd340=1.98 1.49ad340。在太湖紫外辐射衰减还要受悬浮物和叶绿素a浓度的影响,衰减系数与DOC、叶绿素a和悬浮物浓度多元回归的结果明显要高于单独与DOC浓度或CDOM吸收系数的回归结果。     

北方森林土壤呼吸和木质残体分解释放出的CO2通量

北方森林因其面积大、土壤碳储量高以及对全球暖化响应敏感而在全球碳平衡和气候系统中起着至关重要的作用。土壤呼吸和木质残体分解释放出的 CO2 通量是北方森林生态系统输入大气圈的最主要的碳源。量化这个通量并深刻理解其中的机理过程 ,是评价和预测北方森林在全球变化中的作用必不可少的内容。综述了北方森林生态系统土壤呼吸和木质残体分解释放出的 CO2 通量随生态系统类型及环境条件而变化的一般格局以及自养呼吸和异氧呼吸在土壤表面 CO2 通量中的相对贡献 ;分析了影响北方森林土壤呼吸的主要生物物理因子 ;讨论了该领域研究存在的问题和今后的研究方向 ;并强调木质残体分解释放出的 CO2 通量虽然在以往的森林生态系统碳平衡研究中常被忽略 ,但在火灾频繁的北方森林中不容忽视     

低剂量率下高线性能量转移碳离子束辐照人类唾液腺细胞的存活效应

利用日本千叶重离子医用加速器 HIMAC 提供的碳离子束,对人类唾液腺细胞 (HSG) 在剂量率为 0.5 Gy/h 的低剂量率条件下进行了辐照,运用标准的克隆形成法得到了 3 种不同剂量平均线性能量转移 (LET) 碳离子束辐照 HSG 细胞的剂量存活效应 . 与先前 HSG 细胞在治癌剂量率 (1~5 Gy/min) 下对相近剂量平均 LET 碳离子束辐照的剂量存活效应数据相比, HSG 细胞对高 LET 碳离子束辐射表现出明显的剂量率效应 . 为在相同条件下得到碳离子束对 HSG 细胞的相对生物学效应 (RBE) ,利用 60Co-γ射线在剂量率为 0.5 Gy/h 的条件下辐照了 HSG 细胞,得到该细胞系对低 LET 射线响应的剂量存活效应 . 与先前在治癌剂量率下得到的 RBE 值相比,低剂量率条件下得到的 RBE 值总体减小 . 由实验发现的剂量率效应及低剂量率条件下 RBE 值的减小,表明由高 LET 碳离子束造成的辐射损伤在低剂量率条件下也存在着显著的修复效应 . 据此,对辐射造成细胞致死的原因进行了探讨 .     

陆地生态系统磷素循环及其影响因素

 磷是生命系统的重要组成成分,其在生态系统内的迁移转化是生态系统结构和功能的决定性因素之一。近20年来,磷在陆地生态系统内的重要性受到越来越多的关注。该文总结了国内外磷循环研究的成果,从磷的来源、在土壤中的存在形态和固定特性、影响因素的复杂性等方面分析了磷素循环的特点;系统阐述了磷在陆地生态系统各库之间及其内部,主要是植被-土壤亚系统内的迁移转化规律及影响因素。陆地生态系统磷素循环主要是系统内部的生物化学循环,由植物自身的遗传特性和土壤的生物、理化性质共同控制,不同控制因素的相对重要性因生态系统类型、时间和空间尺度而异。文章简述了磷循环研究方法的发展及存在的局限性;另外,分析了干旱、半干旱地区磷循环研究的重要性和意义;干旱区生态系统的脆弱性及其植被、土壤特性决定了其磷素循环有其自身的特点及研究的必要性。最后指出了当前陆地生态系统磷循环研究的发展趋势。     

西双版纳农田弃耕后橡胶园的建立对碳的固存作用

 由于温室气体的大量排放引起的全球气候变暖等环境问题日益严重,近年来人们开始考虑通过植被和土壤的碳固存,以缓解大气中CO2浓度的升高速度,减缓温室效应的影响。有研究表明,热带原始森林的保护和人工林的建立能有效地固存大气中的碳。但是,在建立热带种植园和人工林以固存大气CO2的可行性及其碳的固存潜力大小等方面还存在较大争议。云南省西双版纳自治州是我国重要的热带地区之一,目前橡胶(Hevea brasiliensis)园的面积为1.3×105 hm2,约占该地区林地面积的14%。在本研究中,选择11块在弃耕后的农田上建立的橡胶园（定植年限为3至38年）,初步探讨了橡胶园建立后植被和土壤中碳的固存规律。两个生物量模型（唐建维等的模型和Brown模型）的模拟结果显示,橡胶园建立后植被中生物量的平均增长速率分别为10.2×103和9.4×103 kg·hm-2·a-1,40和100 cm表层土壤碳的平均固存速率分别为0.61×103和0.72×103 kg C·hm-2·a-1,植被和100 cm表层土壤中碳的平均固存速率为5.82×103和5.42×103 kg C·hm-2·a-1,而定植40年后植被和100 cm表层土壤碳的固存潜力为232.8×103和216.8×103 kg C·hm-2。对两个模型的比较结果显示,唐建维等的模型生物量计算结果明显高于Brown模型,尤其是在对中幼龄橡胶园生物量估算时更是如此。     

碳同位素技术在森林生态系统碳循环研究中的应用

碳同位素技术对碳素在生态系统中的迁移动态具有很好的示踪作用,在生态学各领域研究中应用广泛。土壤、大气、植物是森林生态系统的重要碳库,植物是大气和土壤交换碳元素的重要介质。本文简要总结了碳同位素技术在研究碳元素在植物体内以及植物、土壤、大气碳库之间的迁移规律和生态学过程中的应用,展望了该技术在森林界面学中的应用前景。     

鼎湖山土壤有机质δ13C时空分异机制

根据鼎湖山若干海拔部位土壤剖面薄层取样样品有机质含量、¹⁴C测年及δ¹³C结果,研究土壤有机质δ¹³C时空分异机制.结果表明,不同海拔土壤剖面有机质δ¹³C深度特征受控于剖面发育进程,与有机质组成及其分解过程密切相关.植被枯落物成为表土层有机质以及表土层被埋藏后的有机质更新过程,均存在碳同位素分馏效应,有机质δ¹³C显著增大.相对于地表植被枯落物δ¹³C,表土层有机质δ¹³C增幅取决于表土有机质更新速率.表土有机质δ¹³C与植被枯落物δ¹³C均随海拔升高而增大,说明植被构成随海拔升高呈规律性变化.这与鼎湖山植被的垂直分布一致.不同海拔土壤剖面有机质δ¹³C深度特征类似,有机质含量深度特征一致,有机质¹⁴C表观年龄自上向下增加.这是剖面发育过程中有机质不断更新的结果.土壤剖面有机质δ¹³C最大值深度与¹⁴C弹穿透深度的成因和大小不同,均反映地貌与地表植被对有机碳同位素深度分布的控制.     

Separation of protein and fatty acids from tuna viscera using supercritical carbon dioxide

Supercritical carbon dioxide extraction was investigated as a method for removing lipids and bad flavor from tuna viscera. To find the optimum conditions, different experimental variables, such as pressure, temperature, flow rate of solvent and sample size, were evaluated for the effective removal of lipids and the undesirable smell. Ethanol was used as the entrainer, with a 3% by vol CO₂ flow rate. By increasing the pressure at constant temperature, the efficiency of the lipid removal was improved and the protein was concentrated without denaturalization. The main fatty acids extracted from the tuna viscera were palmitic acid (16∶0), heptadecanoic acid (17∶1), oleic acid (18∶1) and docosahexaenoic acid (22∶6). The major amino acids in the tuna viscera treated by supercritical carbon dioxide were glutamic acid, leucine and lysine, and the free amino acids werel-proline, taurine andl-α-aminoadipic acid.     

Fine root dynamics and trace gas fluxes in two lowland tropical forest soils

Fine root dynamics have the potential to contribute significantly to ecosystem‐scale biogeochemical cycling, including the production and emission of greenhouse gases. This is particularly true in tropical forests which are often characterized as having large fine root biomass and rapid rates of root production and decomposition. We examined patterns in fine root dynamics on two soil types in a lowland moist Amazonian forest, and determined the effect of root decay on rates of C and N trace gas fluxes. Root production averaged 229 (±35) and 153 (±27) g m^?2 yr^?1 for years 1 and 2 of the study, respectively, and did not vary significantly with soil texture. Root decay was sensitive to soil texture with faster rates in the clay soil (k=?0.96 year^?1) than in the sandy loam soil (k=?0.61 year^?1), leading to greater standing stocks of dead roots in the sandy loam. Rates of nitrous oxide (N₂O) emissions were significantly greater in the clay soil (13±1 ng N cm^?2 h^?1) than in the sandy loam (1.4±0.2 ng N cm^?2 h^?1). Root mortality and decay following trenching doubled rates of N₂O emissions in the clay and tripled them in sandy loam over a 1‐year period. Trenching also increased nitric oxide fluxes, which were greater in the sandy loam than in the clay. We used trenching (clay only) and a mass balance approach to estimate the root contribution to soil respiration. In clay soil root respiration was 264–380 g C m^?2 yr^?1, accounting for 24% to 35% of the total soil CO₂ efflux. Estimates were similar using both approaches. In sandy loam, root respiration rates were slightly higher and more variable (521±206 g C m² yr^?1) and contributed 35% of the total soil respiration. Our results show that soil heterotrophs strongly dominate soil respiration in this forest, regardless of soil texture. Our results also suggest that fine root mortality and decomposition associated with disturbance and land‐use change can contribute significantly to increased rates of nitrogen trace gas emissions.     

An improved analysis of forest carbon dynamics using data assimilation

There are two broad approaches to quantifying landscape C dynamics – by measuring changes in C stocks over time, or by measuring fluxes of C directly. However, these data may be patchy, and have gaps or biases. An alternative approach to generating C budgets has been to use process‐based models, constructed to simulate the key processes involved in C exchange. However, the process of model building is arguably subjective, and parameters may be poorly defined. This paper demonstrates why data assimilation (DA) techniques – which combine stock and flux observations with a dynamic model – improve estimates of, and provide insights into, ecosystem carbon (C) exchanges. We use an ensemble Kalman filter (EnKF) to link a series of measurements with a simple box model of C transformations. Measurements were collected at a young ponderosa pine stand in central Oregon over a 3‐year period, and include eddy flux and soil CO₂ efflux data, litterfall collections, stem surveys, root and soil cores, and leaf area index data. The simple C model is a mass balance model with nine unknown parameters, tracking changes in C storage among five pools; foliar, wood and fine root pools in vegetation, and also fresh litter and soil organic matter (SOM) plus coarse woody debris pools. We nested the EnKF within an optimization routine to generate estimates from the data of the unknown parameters and the five initial conditions for the pools. The efficacy of the DA process can be judged by comparing the probability distributions of estimates produced with the EnKF analysis vs. those produced with reduced data or model alone. Using the model alone, estimated net ecosystem exchange of C (NEE)=?251±197 g C m^?2 over the 3 years, compared with an estimate of ?419±29 g C m^?2 when all observations were assimilated into the model. The uncertainty on daily measurements of NEE via eddy fluxes was estimated at 0.5 g C m^?2 day^?1, but the uncertainty on assimilated estimates averaged 0.47 g C m^?2 day^?1, and only exceeded 0.5 g C m^?2 day^?1 on days where neither eddy flux nor soil efflux data were available. In generating C budgets, the assimilation process reduced the uncertainties associated with using data or model alone and the forecasts of NEE were statistically unbiased estimates. The results of the analysis emphasize the importance of time series as constraints. Occasional, rare measurements of stocks have limited use in constraining the estimates of other components of the C cycle. Long time series are particularly crucial for improving the analysis of pools with long time constants, such as SOM, woody biomass, and woody debris. Long‐running forest stem surveys, and tree ring data, offer a rich resource that could be assimilated to provide an important constraint on C cycling of slow pools. For extending estimates of NEE across regions, DA can play a further important role, by assimilating remote‐sensing data into the analysis of C cycles. We show, via sensitivity analysis, how assimilating an estimate of photosynthesis – which might be provided indirectly by remotely sensed data – improves the analysis of NEE.