增施CO2对植物修复土壤DEHP污染的影响

修复效率低一直是植物修复技术需要解决的关键问题之一.基于我国的CO2减排压力和CO2对植物生长的必要性,选择C3植物绿豆和C4植物玉米作为修复植物,以DEHP为目标污染物,探索增施CO2对植物修复土壤DEHP污染的影响.结果表明:DEHP对两种植物生长和根际微环境都产生了抑制性影响.增施CO2后,两种植物地上干质量显著增加,叶片SOD酶活性明显下降,根际土壤碱性磷酸酶活性增加,根际微生物群落结构改变,根际耐DE-HP胁迫微生物数量增加,表明增施CO2对促进植物生长、增强植物抗DEHP胁迫能力、改善根际微环境有积极作用.增施CO2还促进了两种植物对DEHP的吸收,特别是植物地下部分.这些共同作用导致增施CO2后的两种植物根际DEHP残留浓度明显下降,土壤污染植物修复效率提高.整体上看,增施CO2对C3植物绿豆的影响明显大于C4植物玉米.可以将增施CO2作为强化植物修复过程的措施之一.     

增施CO2对植物修复土壤DEHP污染的影响

修复效率低一直是植物修复技术需要解决的关键问题之一.基于我国的CO₂减排压力和CO₂对植物生长的必要性,选择C3植物绿豆和C4植物玉米作为修复植物,以DEHP为目标污染物,探索增施CO₂对植物修复土壤DEHP污染的影响.结果表明: DEHP对两种植物生长和根际微环境都产生了抑制性影响.增施CO₂后,两种植物地上干质量显著增加,叶片SOD酶活性明显下降,根际土壤碱性磷酸酶活性增加,根际微生物群落结构改变,根际耐DEHP胁迫微生物数量增加,表明增施CO₂对促进植物生长、增强植物抗DEHP胁迫能力、改善根际微环境有积极作用.增施CO₂还促进了两种植物对DEHP的吸收,特别是植物地下部分.这些共同作用导致增施CO₂后的两种植物根际DEHP残留浓度明显下降,土壤污染植物修复效率提高.整体上看,增施CO₂对C3植物绿豆的影响明显大于C4植物玉米.可以将增施CO₂ 作为强化植物修复过程的措施之一.     

渤海真刺唇角水蚤摄食的初步研究

1992年 8月至 1 993年 5～ 6月在渤海调查过程中取得了大量海洋浮游生物样品 ,从中获得 80 0个消化道内含有食物的真刺唇角水蚤标本 ,经分析得出 :真刺唇角水蚤营小型浮游生物食性 ,主要摄食小型桡足类 (占其食物组成的 76.4% ) ,其中小拟哲水蚤是它的主要摄食对象 ( 74.7% ) .此外 ,它也摄食少量硅藻类 ( 2 3.0 % )、甲藻类 ( 1 .1 % )、金藻类 ( <0 .1 % )和纤毛虫类 ( 1 .5% ) ;其食物组成有明显的季节变化 ;其类群更替率各季平均达 30 .7% ,其种类更替率达 40 .3% ,并显示出硅藻类自春至冬逐渐增高而桡足类逐渐降低的规律性 .其摄食强度以春季为最高 ,秋季居第二位 ,夏季居第三位 ,冬季最低 .     

中国东北样带土壤活性有机碳的分布及其对气候变化的响应

 基于中国东北样带2001年考察采集土样的实测数据及CO2浓度升高和干旱胁迫的模拟试验资料,分析了土壤活性有机碳的分布特征及其对气候变化的响应。结果表明,样带土壤活性有机碳与土壤有机碳之间呈极显著正相关关系（相关系数Ｒ=0.993,p<0.001）。表层土壤活性有机碳平均为(3.5     

几种热带雨林与荒漠植物暗呼吸作用对高CO_2浓度的响应

使用 Ｌ Ｉ６４００ 便携式光合作用测定系统测定了美国生物圈二号内长期生长在高 Ｃ Ｏ２ 浓度（＞ １５００μｍ ｏｌ／ｍ ｏｌ）下 ５种热带雨林植物与 ５ 种荒漠植物暗呼吸强度的变化。结果表明：在 ３５０～４００μｍ ｏｌ／ｍ ｏｌ下 ５ 种雨林植物的平均暗呼吸强度为（０５６±０１９）μｍ ｏｌ Ｃ Ｏ２／ｍ ２·ｓ;荒漠植物平均为（０９８±０７２）μｍ ｏｌ Ｃ Ｏ２／ｍ ２·ｓ。在 Ｃ Ｏ２ 浓度升高时大部分 Ｃ３ 植物暗呼吸作用升高,并呈一定的线形关系。当 Ｃ Ｏ２ 浓度加倍时,雨林植物暗呼吸强度升高６１％ ;荒漠 Ｃ３ 植物升高１３４％ ,而 Ｃ４ 植物变化不明显或略有下降。因而认为,长期高 Ｃ Ｏ２ 浓度可促进 Ｃ３ 植物的暗呼吸作用。     

全球CO2浓度变化与植物的化感作用

ＣＯ２浓度升高会使植物同化物在体内的含量和分配发生变化,这种变化会影响到植物的某些生理代谢功能,进而影响植物次生代谢物质的形成和分泌,就大气ＣＯ２浓度升高和温度增加将如何影响植物叶片及根系次生代谢物、化感物质、植物残体腐解以及化感作用进行了论述,同时针对目前研究现状和未来可持续农业的需要提出了大气ＣＯ２浓度变化下植物化感作用的优先研究领域。     

中国东北样带土壤氮的分布特征及其对气候变化的响应

根据2001年中国东北样带土壤全氮和有效氮的实测数据,结合CO₂浓度倍增与不同土壤湿度的模拟试验数据,对土壤全氮和有效氮的梯度分布、影响因子分析及其对气候变化的响应进行研究.结果表明,样带土壤表层全氮和有效氮的梯度分布与土壤有机碳的分布基本一致:沿经度呈现东高西低的趋势,局部由于土壤退化而出现低谷.土壤全氮的剖面分布和土壤有机碳相似,而土壤有效氮则有所不同.样带土壤全氮和有效氮与土壤pH、有机碳、全磷、全硫、全锌、土壤活性碳、有效磷、有效钾、有效锰、有效锌、土壤容重、田间持水量、土壤总孔度等因子均呈显著或极显著的相关关系.样带土壤全氮和有效氮与降雨量之间呈极显著的正相关关系(r=0.682,P＜0.001和0.688,P＜0.001).短期培养试验中,CO₂浓度倍增和不同土壤湿度下土壤全氮和有效氮的变异较小(变异系数分别是5.55%和3.84%),但可反映一定的变化趋势.     

大气CO2浓度升高对土壤微生物的影响

自人类进入工业化时代以来,由于化石燃料的燃烧和森林的大面积破坏,大气中ＣＯ２的浓度已由工业革命以前的２８０μｌ·Ｌ－１增加到现在的３５０μｌ·Ｌ－１,仅从１９５７年至今的几十年间,大气中ＣＯ２的浓度就增加了２０％,预计到下个世纪下半叶,大气中ＣＯ２的...     

植物生理生态指标对大气CO2浓度倍增响应的整合分析

对 8 4篇文献有关植物对大气CO2 浓度倍增响应进行整合分析(一种对同一主题下多个独立实验进行综合的统计学方法),发现环境因素(土壤水分亏缺、土壤低氮、高温和高浓度O3 )显著地影响植物对高CO2 浓度的响应。无任何环境胁迫时,高CO2 浓度对C3 植物的 12个植物生理生态指标产生负效应,对另 12个则表现正效应,负响应最强的前 5个指标为:气孔导度(gs) >暗呼吸速率(Rd) >单位叶重中的氮含量(Nm) >单位叶重中蛋白质含量(Prm) >单位叶结构重量中氮含量(Ns);正响应最强烈的前 5个指标为:根生物量(Br) >地上部生物量(Bs) >单位叶重中淀粉含量(St) >光饱和时的光合速率(A) >总生物量(Bt)。可见植物的气体交换和生物量受高CO2 浓度影响较大,叶化学成分的变化则以淀粉、单位叶重含氮量和单位叶重蛋白质含量较为明显。无任何胁迫时,C3 植物的总生物量和光饱和时的光合速率分别提高 30.0 1%和 40.36 %;气孔导度下降 30.39%。     

长江口滨岸带河蚬的时空分布特征及其指示作用

以长江口滨岸湿地生态系统习见的大型底栖动物河蚬为对象,研究了河蚬种群密度、生物量的时空分布特征,分析了河蚬及环境中悬浮颗粒物和沉积物中的重金属含量.结果表明,不同季节、不同采样点以及相同采样点的不同断面河蚬的分布都有差异.河蚬种群密度、生物量的季节分布趋势是春、秋两季＞夏季;其中,浒浦河蚬的年度平均种群密度与平均生物量最高;河蚬在崇明中潮滩的种群密度、生物量高于低潮滩和高潮滩.研究表明,河蚬对沉积物中的重金属元素Cu、Zn富集能力强,对Pb、Cr的富集能力弱,其中,河蚬体内Pb含量与沉积物中Pb含量呈显著负相关(R=-0.924,P<0.01).     

生态长江口的概念与构架

2004年作者提出生态长江口概念之后,并没有对其进行过严格的定义。生态长江口是一个符合国家相继提出的实施海洋开发、发展海洋产业和建设生态文明战略的新概念,具有强大的生命力。本文对生态长江口概念进行了定义,并从非原生态型、生态建设型、海洋安全型、生态经济型、生态管理型和生态城市型等6个方面对其内涵进行了诠释,提出了生态长江口的建设目标、指导原则与实施战略构想,探讨了包括建设长江口保护区体系、构建生态长江口安全保障体系和打造生态长江口海岸带经济特区的基本构架。     

长江口海域浮游糠虾类生态特征

利用2002—2003年长江口近海（122°00′—123°30′ E,29°00′—32°00′ N）四季调查资料,研究了长江口近海浮游糠虾类多样性、数量波动过程及其与渔场的关系.结果表明：长江口近海共有浮游糠虾14种,秋季10种,春、秋季8种,冬季2种.种类组成季节更替明显,其中从秋季到冬季更替率最高（90.9%）,春、夏和秋季多样性指数（H′）值均大于2,冬季为1- 夏季丰度均值最高［234.70 ind·(100 m³)^-1］,秋季为103.34 ind·(100 m³)^-1,春季80.36 ind·(100 m³)^-1,冬季最低12.40 ind·(100 m^3)-1,丰度变化与温度一致.因温、盐适应范围最广,漂浮囊糠虾是春、秋、冬3季的优势种;短额刺糠虾是夏、秋两季的优势种;长额刺糠虾是冬季的优势种各季节优势种对总丰度贡献均较大.夏季短额刺糠虾的聚集强度最高.长江口近海浮游糠虾类对长江口渔场及舟山渔场的形成具有重要意义.     

Diverting residual biomass to energy use: Quantifying the global warming potential of biogenic CO2 (GWPbCO2)

To calculate the global warming potential of biogenic carbon dioxide emissions (GWP_bCO2) associated with diverting residual biomass to bioenergy use, the decay of annual biogenic carbon pulses into the atmosphere over 100 years was compared between biomass use for energy and its business-as-usual decomposition in agricultural, forestry, or landfill sites. Bioenergy use increased atmospheric CO₂ load in all cases, resulting in a ¹⁰⁰GWP_bCO2 (units of g CO₂e/g biomass CO₂ released) of 0.003 for the fast-decomposing agricultural residues to 0.029 for the slow, 0.084–0.625 for forest residues, and 0.368–0.975 for landfill lignocellulosic biomass. In comparison, carbon emissions from fossil fuels have a ¹⁰⁰GWP of 1.0 g (CO₂e/g fossil CO₂). The fast decomposition rate and the corresponding low ¹⁰⁰GWP_bCO2 values of agricultural residues make them a more climate-friendly feedstock for bioenergy production relative to forest residues and landfill lignocellulosic biomass. This study shows that CO₂ released from the combustion of bioenergy or biofuels made from residual biomass has a greenhouse gas footprint that should be considered in assessing climate impacts.     

CO2 emissions from biomass combustion for bioenergy: atmospheric decay and contribution to global warming

Carbon dioxide (CO₂) emissions from biomass combustion are traditionally assumed climate neutral if the bioenergy system is carbon (C) flux neutral, i.e. the CO₂ released from biofuel combustion approximately equals the amount of CO₂ sequestered in biomass. This convention, widely adopted in life cycle assessment (LCA) studies of bioenergy systems, underestimates the climate impact of bioenergy. Besides CO₂ emissions from permanent C losses, CO₂ emissions from C flux neutral systems (that is from temporary C losses) also contribute to climate change: before being captured by biomass regrowth, CO₂ molecules spend time in the atmosphere and contribute to global warming. In this paper, a method to estimate the climate impact of CO₂ emissions from biomass combustion is proposed. Our method uses CO₂ impulse response functions (IRF) from C cycle models in the elaboration of atmospheric decay functions for biomass‐derived CO₂ emissions. Their contributions to global warming are then quantified with a unit‐based index, the GWP_bio. Since this index is expressed as a function of the rotation period of the biomass, our results can be applied to CO₂ emissions from combustion of all the different biomass species, from annual row crops to slower growing boreal forest.     

Gene expression profiling: opening the black box of plant ecosystem responses to global change

The use of genomic techniques to address ecological questions is emerging as the field of genomic ecology. Experimentation under environmentally realistic conditions to investigate the molecular response of plants to meaningful changes in growth conditions and ecological interactions is the defining feature of genomic ecology. Because the impact of global change factors on plant performance are mediated by direct effects at the molecular, biochemical, and physiological scales, gene expression analysis promises important advances in understanding factors that have previously been consigned to the 'black box' of unknown mechanism. Various tools and approaches are available for assessing gene expression in model and nonmodel species as part of global change biology studies. Each approach has its own unique advantages and constraints. A first generation of genomic ecology studies in managed ecosystems and mesocosms have provided a testbed for the approach and have begun to reveal how the experimental design and data analysis of gene expression studies can be tailored for use in an ecological context.     

Free Air Temperature Increase (FATI): a new tool to study global warming effects on plants in the field

A new technique, called Free Air Temperature Increase (FATI), was developed to artificially induce increased canopy temperature in field conditions without the use of enclosures. This acronym was chosen in analogy with FACE (Free Air CO₂ Enrichment), a technique which produces elevated CO₂ concentrations [CO₂] in open field conditions. The FATI system simulates global warming in small ecosystems of limited height, using infrared heaters from which all radiation below 800 nm is removed by selective cut-off filters to avoid undesirable photomorpho-genetic effects. An electronic control circuit tracks the ambient canopy temperature in an unheated reference plot with thermocouples, and modulates the radiant energy from the lamps to produce a 2.5°C increment in the canopy temperature of an associated heated plot (continuously day and night). This pre-set target differential is relatively-constant over time due to the fast response of the lamps and the use of a proportional action controller (the standard deviation of this increment was <1°C in a 3 week field study with 1007 measurements). Furthermore, the increase in leaf temperature does not depend on the vertical position within the canopy or on the height of the stand. Possible applications and alternative designs are discussed.     

Evaluating the responses of forest ecosystems to climate change and CO2 using dynamic global vegetation models

The climate has important influences on the distribution and structure of forest ecosystems, which may lead to vital feedback to climate change. However, much of the existing work focuses on the changes in carbon fluxes or water cycles due to climate change and/or atmospheric CO₂, and few studies have considered how and to what extent climate change and CO₂ influence the ecosystem structure (e.g., fractional coverage change) and the changes in the responses of ecosystems with different characteristics. In this work, two dynamic global vegetation models (DGVMs): IAP‐DGVM coupled with CLM3 and CLM4‐CNDV, were used to investigate the response of the forest ecosystem structure to changes in climate (temperature and precipitation) and CO₂ concentration. In the temperature sensitivity tests, warming reduced the global area‐averaged ecosystem gross primary production in the two models, which decreased global forest area. Furthermore, the changes in tree fractional coverage (ΔF_tree; %) from the two models were sensitive to the regional temperature and ecosystem structure, i.e., the mean annual temperature (MAT; °C) largely determined whether ΔF_tree was positive or negative, while the tree fractional coverage (F_tree; %) played a decisive role in the amplitude of ΔF_tree around the globe, and the dependence was more remarkable in IAP‐DGVM. In cases with precipitation change, F_tree had a uniformly positive relationship with precipitation, especially in the transition zones of forests (30% < F_tree < 60%) for IAP‐DGVM and in semiarid and arid regions for CLM4‐CNDV. Moreover, ΔF_tree had a stronger dependence on F_tree than on the mean annual precipitation (MAP; mm/year). It was also demonstrated that both models captured the fertilization effects of the CO₂ concentration.     

Long-term responses of boreal vegetation to global change: an experimental and modelling investigation

The response of boreal ecosystems to future global change is an uncertain but potentially critical component of the feedback between the terrestrial biosphere and the atmosphere. To reduce some of the uncertainties in predicting the responses of this key ecosystem, the climate change experiment (CLIMEX) exposed an entire undisturbed catchment of boreal vegetation to CO₂ enrichment (560 ppmv) and climate change (+ 5 °C in winter, + 3 °C in summer) for three years (1994–96). This paper describes the leaf metabolic responses of the vegetation to the experimental treatment and model simulations of possible future changes in the hydrological and carbon balance of the site. Randomized intervention analysis of the leaf gas exchange measurements for the dominant species indicated Pinus sylvestris had significantly (P < 0.01) higher photosynthetic rates and Betula pubescens and Vaccinium myrtillus had significantly (P < 0.01) lower stomatal conductances after three years treatment compared to the controls. These responses led to sustained increases in leaf water-use efficiency of all species of trees and ground shrubs, as determined from carbon isotope analyses. Photosynthesis (A) vs. intercellular CO₂ (c_i) response curves (A/c_i responses), RuBisCo analysis and leaf nitrogen data together suggested none of the species investigated exhibited down-regulation in photosynthetic capacity. At the whole ecosystem level, the improved water economy of the plants did not translate into increased catchment runoff. Modelling simulations for the site indicate this was most likely brought about by a compensatory increase in evapotranspiration. In terms of the carbon budget of the site, the ecosystem model indicates that increased CO₂ and temperature would lead to boreal ecosystems of the type used in CLIMEX, and typical of much of southern Norway, acting as moderate net sinks for CO₂.