Soil management for sustainable crop disease control: a review

Excessive use of agrochemicals in conventional crop management has caused serious environmental and health problems including loss of biodiversity and human disorders. A number of chemical biocides have shown complex chronic effects such as change in endocrine functions and immune systems. Application of different chemical biocides to the soil and plants have increased substantially over the last five decades. Total consumption of chemical fertilizers worldwide increased tenfold from 1950 to 2000. This is also true for chemical biocides with its annual current use of 3 billion l and a value of 30 billion dollars. There are ample evidences indicating that plants which grow in rich soil associated with N-P-K availability are prone to pests and diseases. Managing and exploiting soil environmental conditions as part of an integrated control strategy can make a significant contribution to agricultural sustainability and environmental quality. Application of organic matter and practises which increase the total microbial activity in the soil might enhance general suppression of pathogens by increasing competition for nutrients. Choice of crops in rotation with plants less susceptible to specific pathogens causes a decline in population due to natural mortality and the antagonistic activities of co-existent root zone microorganisms. Plants growing in disease-suppressive soil resist diseases much better than in soils with low biological diversity. Understanding the effect of soil environmental factors on plant disease incidence and the best crop management strategies to prevent, avoid, escape and control diseases were the aims of this literature review. This article comprises the main topics on soil fertility associated with N-P-K and other macro- and micro nutrients, and also soil pH, structure and texture, organic matter and microbial reserves, describes the use of various crop management practises which reduce the incidence of plant diseases.     

Biotic and abiotic stress effects on nitrogen chemistry in the salt marsh cordgrassSpartina alterniflora (Poaceae)

Summary Planthopper (Insecta: Homoptera) feeding stress induces a senesence-like response in the leaves ofSpartina alterniflora characterized by decreased soluble protein, an increased total amino acid pool, and elevated levels of 10 individual amino acids. Increased proline and tryptophan in response to planthopper feeding could not be fully explained by protein degradation. Low degrees of soil salinity stress resulted in an increased total free amino acid pool and elevated levels of 7 amino acids. Anaerobic soil stress resulted in decreased glutamic acid and increased asparagine. Low salinity and anaerobic stress had no effect on soluble protein levels. Glycinebetaine was not affected by the stresses examined in this study.     

Implications of different population model structures for management of threatened plants

Population viability analysis (PVA) is a reliable tool for ranking management options for a range of species despite parameter uncertainty. No one has yet investigated whether this holds true for model uncertainty for species with complex life histories and for responses to multiple threats. We tested whether a range of model structures yielded similar rankings of management and threat scenarios for 2 plant species with complex postfire responses. We examined 2 contrasting species from different plant functional types: an obligate seeding shrub and a facultative resprouting shrub. We exposed each to altered fire regimes and an additional, species‐specific threat. Long‐term demographic data sets were used to construct an individual‐based model (IBM), a complex stage‐based model, and a simple matrix model that subsumes all life stages into 2 or 3 stages. Agreement across models was good under some scenarios and poor under others. Results from the simple and complex matrix models were more similar to each other than to the IBM. Results were robust across models when dominant threats are considered but were less so for smaller effects. Robustness also broke down as the scenarios deviated from baseline conditions, likely the result of a number of factors related to the complexity of the species’ life history and how it was represented in a model. Although PVA can be an invaluable tool for integrating data and understanding species’ responses to threats and management strategies, this is best achieved in the context of decision support for adaptive management alongside multiple lines of evidence and expert critique of model construction and output.     

几种湿地植物对重金属镉胁迫的生理生化响应

通过水培试验研究了不同质量浓度的重金属镉(0、20、30、40、50、60 mg·L-1)胁迫对水生美人蕉(Canna glauca)、红蛋(Echinodorus osiris)、风车草(Cyperus alternifolius)、彩叶草(Coleus blumei benth)等湿地植物体内丙二醛、脯氨酸、镉的含量以及细胞膜的透性变化的影响,探讨了镉胁迫下不同湿地植物对镉的生理生化响应和耐受能力,为应用人工湿地处理含镉废水提供依据.研究结果表明,在镉胁迫下4种供试植物叶片的丙二醛含龟和膜透性增加,并且试验条件下,培养液中镉质量浓度越高植物叶片中阿二醛细胞膜透性也越高;植物叶片中脯氨酸质量分数变化则有所不同,培养液中镉质最浓度处于0～40 mg·L-1时,脯氨酸质量分数随着镉质量浓度增加而增加,镉质量浓度高于40 mg·L-1,脯氨酸质量分数随着镉质量浓度的增加而降低.不同湿地植物对镉胁迫响应也显著不同,丙二醛含量、脯氩酸质量分数和细胞膜透性大小为:彩叶草>风车草>红蛋>美人焦.由此可见,4种供试植物耐受镉害的能力依次为:美人蕉>红蛋>风车草>彩叶草.美人蕉和红蛋在含镉废水人工湿地生态上程修复中具有很好的应用前景.     

Probiotics for dietary management of non-alcoholic fatty liver disease

Environmental Chemistry Letters - Non-alcoholic fatty liver disease (NAFLD) is characterized by an increase in fat content of liver cells, which is independent from alcohol intake. Here, we review...     

茉莉酸类物质(JAs)的生理特性及其在逆境胁迫中的抗性作用

以茉莉酸(JA)和茉莉酸甲酯(MeJA)为代表的茉莉酸类物质(JAs)是广泛存在于高等植物体内的一种新型植物生长调节物质,在调节植物生长发育、光合特性、抗逆反应等起着重要的作用。茉莉酸类物质能抑制植物生长,抑制种子和花粉粒萌发,促进叶片和果实衰老,加速细胞的分裂和膨大,促进气孔关闭,诱导禾本科植物的颖花开放;此外还能调节植物的光合作用和呼吸作用及保护酶活性。目前更多的研究表明,茉莉酸(酯)类物质是与抗性密切相关的植物生长物质,它作为内源信号分子参与植物在机械伤害、病虫害、干旱、盐胁迫、低温等条件下的抗逆反应。在植物受到伤害时,植物体内茉莉酸及其衍生物的含量显著增加,进而诱导一系列与抗逆有关的基因表达,如蛋白酶抑制剂、硫蛋白和苯丙氨酸转氨酶(PAL)等,提高酯氧合酶活性,从而增强植物的抗性。研究还发现,在干旱逆境胁迫条件下,与脱落酸(ABA)的表现相似,茉莉酸类物质大量积累,外施能增强植物的抗旱性。茉莉酸与脱落酸在抑制生长、促进衰老和逆境胁迫的反应上作用极为相似,两者可协同起作用或独立发挥,而茉莉酸与水杨酸(SA)二者之间则大多研究认为存在相互抑制的拮抗作用,但也有一定协同作用。而茉莉酸与各种激素的信号传导途径的相互作用机制仍有待进一步深入研究。     

Dynamics and management of infectious disease in colonizing populations

The introduction of chronic, infectious diseases by colonizing populations (invasive or reintroduced) is a serious hazard in conservation biology, threatening the original host and other spillover species. Most research on spatial invasion of diseases has pertained to established host populations, either at steady state or fluctuating through time. Within a colonizing population, however, the spread of disease may be influenced by the expansion process of the population itself. Here we explore the simultaneous expansion of a colonizing population and a chronic, nonlethal disease introduced with it, describing basic patterns in homogeneous and structured landscapes and discussing implications for disease management. We describe expected outcomes of such introductions for three qualitatively distinct cases, depending on the relative velocities at which the population and epidemic expand. (1) If transmissibility is low the disease cannot be sustained, although it may first expand its range somewhat around the point of introduction. (2) If transmissibility is moderate but the wave-front velocity for the population, vp, is higher than that for the disease, vd, the disease wave front lags behind that of the population. (3) A highly transmissible disease, with vd > vp, will invade sufficiently rapidly to track the spread of the host. To test these elementary theoretical predictions, we simulated disease outbreaks in a spatially structured host population occupying a real landscape. We used a spatially explicit, individual-based model of Persian fallow deer (Dama mesopotamica) reintroduced in northern Israel, considering a hypothetical introduction of bovine tuberculosis. Basic patterns of disease expansion in this realistic setting were similar to our conceptual predictions for homogeneous landscapes. Landscape heterogeneity, however, induced the establishment of population activity centers and disease foci within them, leading to jagged wave fronts and causing local variation in the relative velocities at which the population and epidemic expanded. Based on predictions from simple theory and simulations of managed outbreaks, we suggest that the relative velocities at which the population and epidemic expand have important implications for the impact of different management strategies. Recognizing which of our three general cases best describes a particular outbreak will aid in planning an efficient strategy to contain the disease.     

Age-size plasticity for reproduction in monocarpic plants

Empirical and theoretical investigations of monocarpy have usually addressed the question of minimum or threshold sizes for reproduction. However, the range of flowering sizes observed in many monocarpic species is extraordinarily large (well beyond what can be called a "threshold"), and the sizes of flowering and nonflowering plants may overlap greatly. We attempt to explain these reproductive patterns in terms of optimal reaction norms predicted by simple deterministic life history models. We assume that individuals differ in their growth trajectories due to the heterogeneous quality of microsites and ask how the optimal age and size at flowering varies with environmental variation in growth and for different assumptions about fecundity and mortality. Under two very different growth functions (one with no age- or size-related decline in growth rate and another with such a decline as size approaches an asymptote), the optimal reaction norms imply considerable plasticity for size at reproduction, particularly when poor growth is associated with higher mortality or lower asymptotic size. Deterministic models such as these may be more applicable to long-lived than to short-lived monocarps, because fitness potential should be less affected by stochastic variability in yearly growing condition in the former than in the latter. We consider the case of a tropical monocarpic and masting tree species, Cerberiopsis candelabra (Apocynaceae), and show that our model results can account for wide ranges of reproductive size and overlap in size of flowering and nonflowering plants, in accord with observation. We suggest that empirical attention to norms of reaction across growth environments will be a more profitable approach than investigation of size thresholds per se.     

A meta-BACI approach for evaluating management intervention on chronic wasting disease in mule deer.

Advances in acquiring and analyzing the spatial attributes of data have greatly enhanced the potential utility of wildlife disease surveillance data for addressing problems of ecological or economic importance. We present an approach for using wildlife disease surveillance data to identify areas for (or of) intervention, to spatially delineate paired treatment and control areas, and then to analyze these nonrandomly selected sites in a meta-analysis framework via before-after-control impact (BACI) estimates of effect size. We apply these methods to evaluate the effectiveness of attempts to reduce chronic wasting disease (CWD) prevalence through intensive localized culling of mule deer (Odocoileus hemionus) in north-central Colorado, USA. Areas where surveillance data revealed high prevalence or case clusters were targeted by state wildlife management agency personnel for focal scale (on average <17 km2) culling, primarily via agency sharpshooters. Each area of sustained culling that we could also identify as unique by cluster analysis was considered a potential treatment area. Treatment areas, along with spatially paired control areas that we constructed post hoc in a case-control design (collectively called "management evaluation sites"), were then delineated using home range estimators. Using meta-BACI analysis of CWD prevalence data for all management evaluation sites, the mean effect size (change of prevalence on treatment areas minus change in prevalence on their paired control areas) was 0.03 (SE = 0.03); mean effect size on treatment areas was not greater than on paired control areas. Excluding cull samples from prevalence estimates or allowing for an equal or greater two-year lag in system responses to management did not change this outcome. We concluded that management benefits were not evident, although whether this represented true ineffectiveness or was a result of lack of data or insufficient duration of treatment could not be discerned. Based on our observations, we offer recommendations for designing a management experiment with 80% power to detect a 0.10 drop in prevalence over a 6-12-year period.     

植物耐受和解除重金属毒性研究进展

总结了植物细胞及分子水平对重金属耐性和解除其毒性的途径.植物通过避免增加细胞内敏感位点毒物浓度来解除重金属毒性.其途径主要有:一方面通过菌根化、细胞壁吸收及根系分泌物的螯合作用减少根系吸收重金属进入细胞质;另一方面通过体内调节机制解除重金属毒性和提高耐性,主要通过一系列膜蛋白对进入细胞质内的重金属排出细胞质外、隔离于液泡中,或将重金属转变为无毒性形态挥发入大气,或通过细胞质内的植物螯合素、金属硫蛋白、有机酸、氨基酸、多胺等对重金属螯合,解除重金属毒性;同时植物还可以在重金属胁迫下产生热休克蛋白修复胁迫伤害的蛋白质.本文提供了涉及植物重金属解毒和耐性广泛的观点和证据.     

Studies on mycorrhizal inoculation on dry matter yield and root colonization of some medicinal plants grown in stress and forest soils

Five medicinal plants viz. Abelmoschatus moschatus Linn., Clitoria tematea L., Plumbagozeylanica L., Psorolea corylifolia L. and Withania sominifera L. were grown in a polypot experiment in five soils representing coal mine soil, coppermine soil, fly ash, skeletal soil and forest soil with and without mycorrhizal inoculations in a completely randomized block design. Dry matter yield and mycorrhizal root colonization of plants varied both in uninoculated and inoculated conditions. The forest soil rendered highest dry matter due to higher yield of A. moschatus, P. zeylanica and P corylifolia while fly ash showed lowest dry matter without any inoculants. P. cematea were best in coalmine soil and W. sominifera in copper mine soil without mycorrhizal inoculation. The mycorrhiza was found to enhance the dry matter yield. This contributed minimum 0.19% to maximum up to 422.0% in different soils as compared to uninoculated plants. The mycorrhizal dependency was noticed maximum in plants grown in fly ash followed by coal mine soil, copper mine soil, skeletal soil and forest soil. The mycorrhizal response was increased maximum in W. sominifera due to survival in fly ash after inoculation followed by P corylifolia and P cematea. Percent root colonization in inoculated plant was increased minimum of 1.10 fold to maximum of 12.0 folds in comparison to un-inoculated plants . The native mycorrhiza fungi were also observed to colonize 4.0 to 32.0% roots in plants understudy. This study suggests that mycorrhizal inoculation increased the dry matter yield of medicinal plants in all soils under study. It also helps in survival of W. sominifera in fly ash.     

Biotic and abiotic regulation of lightning fire initiation in the mixedwood boreal forest

Lightning fire is the dominant natural disturbance of the western mixedwood boreal forest of North America. We quantified the independent effects of weather and forest composition on lightning fire initiation (a detected and recorded fire start) patterns in Alberta, Canada, to demonstrate how these biotic and abiotic components contribute to ecosystem dynamics in the mixedwood boreal forest. We used logistic regression to describe variation in annual initiation occurrence among 10,000-ha landscape units (voxels) covering a 9 million-ha study region over 11 years. At a voxel scale, forest composition explained more variation in annual initiation than did weather indices. Initiations occurred more frequently in landscapes with more conifer fuels (Picea spp.), and less in aspen-dominated (Populus spp.) ones. Initiations were less frequent in landscapes that had recently burned. Variation in initiation was also influenced by joint weather-lightning indices, but to a lesser degree. For each voxel, these indices quantified the number of days in the fire season when moisture levels were low and lightning was detected. Regional indices of fire weather severity explained substantial interannual variation of initiation, and the effect of forest composition was stronger in years with more severe fire weather. Our study is a conclusive demonstration of biotic and abiotic regulation of lightning fire initiation in the mixedwood boreal forest. The independent effects of forest composition emphasize that vegetation feedbacks strongly regulate disturbance dynamics in the region.     

Optimal resource management control for CO2 emission and reduction of the greenhouse effect

In recent years, the world has witnessed an ever-growing concern towards global warming caused by greenhouse gases, such as carbon dioxide (CO₂). In order to reduce the emissions of CO₂ without limiting economic growth, substantial investments should target the development of clean technology and the expansion of forested areas. Considering the limited availability of resources, investments must be used in the most effective way. The present work proposes a method to efficiently manage these resources by applying the optimal control theory to a new mathematical model that describes the dynamics of the atmospheric CO₂. The contributions of this work are twofold: (1) present a model that describes the dynamic relation of CO₂ emission with investment in reforestation and clean technology and (2) present a method to efficiently manage the available resources by casting an optimal control problem. The mathematical model uses ordinary differential equations to relate the production of CO₂ with forest area and Gross Domestic Product (GDP). The model parameters are adjusted to fit the actual published data. Given an appropriate performance index, the optimal solution is found by numerically solving the Two-Point Boundary Value Problem (TPBVP) that arises from the application of Pontriagyn's Maximum Principle. The sensitivity of the obtained numerical solution is evaluated with respect to the uncertainties in the model parameters. The main objective of this work is to provide a quantitative tool for the efficient allocation of resources to reduce the greenhouse effect caused CO₂ emissions.     

16种室内观赏植物对甲醛净化效果及生理生化变化

采用气体密封舱熏气法模拟居室装修后的甲醛污染环境,对16种常见室内观赏植物进行甲醛熏气处理,以熏气12h后植物单位叶面积吸收甲醛的量作为指标评价了不同植物对甲醛气体的净化能力,同时测定了熏气后植物的外观形态变化和叶片的SPAD值、相对电导率、丙二醛含量及POD活性等指标。结果显示,被测植物在一定程度上均可以有效吸收甲醛,单位面积吸收量从大到小依次为香石竹（Dianthus caryophyllus）、瑞典常春藤（Lsodon amethystoides）、蚊净香草（Saivia spp.）、比利时杜鹃（Rhododendron hybrida）、柠檬（Citrus limon）、袖珍椰子（Chamaedorea elegans）、龟背竹（Monstera deliciosa）、冷水花（Pilea cadierei）、长寿花（Kalanchoe blossfeldiana）、‘粉冠军’（Anthurium spp.）、巢蕨（Neottopteris nidus）、吊竹梅（Zebrina pendula）、栀子花（Gardenia jasminoides var.grandiflora）、百合竹（Dracaena reflex）、口红花（Aeschynanthus radicans）、孔雀竹芋（Calathea makoyana）。不同植物在甲醛熏气后表现出不同程度的受害反应和生理生化指标的变化,综合分析结果表明香石竹、瑞典常春藤、蚊净香草、袖珍椰子、冷水花、巢蕨等对甲醛的综合净化能力和抗性较好。     

Effects of humic acid on residual Al control in drinking water treatment plants with orthophosphate addition

This study aimed to investigate the effects of humic acid (HA) on residual Al control in drinking water facilities that used orthophosphate addition. The results showed that adding orthophosphate was an effective method for residual Al control for the raw water without HA. When orthophosphate was added at 1.0 min before the addition of poly aluminum chloride (PACl), the concentrations of soluble aluminum (Sol-Al) and total aluminum (Tot-Al) residue were 0.08 and 0.086 mg·L^-1, respectively; both were reduced by 46% compared with the control experiment. The presence of HA would notably increase the residual Al concentration. For the raw water with 5 mg·L^-1 of HA, the concentrations of Sol-Al and Tot-Al increased from 0.136 and 0.174 mg·L^-1 to 0.172 and 0.272 mg·L^-1, respectively. For water with a HA concentration above 5 mg·L^-1, orthophosphate was ineffective in the control of residual Al, though there were still parts of orthophosphate were removed in coagulation. The amounts of Al removal were positively correlated with the solids freshly formed in coagulation. Similar to the raw water without HA, the best Al control was obtained with orthophosphate salt added at 1.0 min before PACl. HA concentrations in the raw water, solution pH, and the orthophosphate dosage suitable for residual Al control by orthophosphate precipitation were also investigated.     

Optimal monitoring and control under state uncertainty: Application to lionfish management

State variables in many renewable resource management problems, such as the abundance of a fish stock, are imperfectly observed over time. In systems characterized by state uncertainty, decision makers often invest in monitoring to learn about the level of a stock. We develop a stochastic bioeconomic model of marine invasive species management under state uncertainty. The decision maker in our model simultaneously evaluates optimal investment in monitoring and population control. Using a recently-devised method for solving continuous-state Partially Observable Markov Decision Processes (POMDPs), we find that the ability to learn through monitoring can alter the role of population control in the optimal policy function, for example by reducing control intensity in favor of monitoring. Optimal monitoring depends on the management context, including in our application lionfish population structure. The rich transient dynamics of our model depend critically on the relationship between the initial conditions for information and invader abundance.     

Adaptive social impact management for conservation and environmental management

Concerns about the social consequences of conservation have spurred increased attention the monitoring and evaluation of the social impacts of conservation projects. This has resulted in a growing body of research that demonstrates how conservation can produce both positive and negative social, economic, cultural, health, and governance consequences for local communities. Yet, the results of social monitoring efforts are seldom applied to adaptively manage conservation projects. Greater attention is needed to incorporating the results of social impact assessments in long‐term conservation management to minimize negative social consequences and maximize social benefits. We bring together insights from social impact assessment, adaptive management, social learning, knowledge coproduction, cross‐scale governance, and environmental planning to propose a definition and framework for adaptive social impact management (ASIM). We define ASIM as the cyclical process of monitoring and adaptively managing social impacts over the life‐span of an initiative through the 4 stages of profiling, learning, planning, and implementing. We outline 14 steps associated with the 4 stages of the ASIM cycle and provide guidance and potential methods for social‐indicator development, predictive assessments of social impacts, monitoring and evaluation, communication of results, and identification and prioritization of management responses. Successful ASIM will be aided by engaging with best practices – including local engagement and collaboration in the process, transparent communication of results to stakeholders, collective deliberation on and choice of interventions, documentation of shared learning at the site level, and the scaling up of insights to inform higher‐level conservation policies‐to increase accountability, trust, and perceived legitimacy among stakeholders. The ASIM process is broadly applicable to conservation, environmental management, and development initiatives at various scales and in different contexts.     

Reviewing the relevance of dioxin and PCB sources for food from animal origin and the need for their inventory,control and management

Background

In the past, cases of PCDD/F and PCB contamination exceeding limits in food from animal origin (eggs, meat or milk) were mainly caused by industrially produced feed. But in the last decade, exceedances of EU limit values were discovered more frequently for PCDD/Fs or dioxin-like(dl)-PCBs from free range chicken, sheep, and beef, often in the absence of any known contamination source.

Results

The German Environment Agency initiated a project to elucidate the entry of PCBs and PCDD/Fs in food related to environmental contamination. This paper summarizes the most important findings. Food products from farm animals sensitive to dioxin/PCB exposure—suckling calves and laying hens housed outdoor—can exceed EU maximum levels at soil concentrations that have previously been considered as safe. Maximum permitted levels can already be exceeded in beef/veal when soil is contaminated around 5 ng PCB-TEQ/kg dry matter (dm). For eggs/broiler, this can occur at a concentration of PCDD/Fs in soil below 5 ng PCDD/F–PCB-TEQ/kg dm. Egg consumers—especially young children—can easily exceed health-based guidance values (TDI). The soil–chicken egg exposure pathway is probably the most sensitive route for human exposure to both dl-PCBs and PCDD/Fs from soil and needs to be considered for soil guidelines. The study also found that calves from suckler cow herds are most prone to the impacts of dl-PCB contamination due to the excretion/accumulation via milk. PCB (and PCDD/F) intake for free-range cattle stems from feed and soil. Daily dl-PCB intake for suckler cow herds must in average be less than 2 ng PCB-TEQ/day. This translates to a maximum concentration in grass of 0.2 ng PCB-TEQ/kg dm which is less than 1/6 of the current EU maximum permitted level. This review compiles sources for PCDD/Fs and PCBs relevant to environmental contamination in respect to food safety. It also includes considerations on assessment of emerging POPs.

Conclusions

The major sources of PCDD/F and dl-PCB contamination of food of animal origin in Germany are (1) soils contaminated from past PCB and PCDD/F releases; (2) PCBs emitted from buildings and constructions; (3) PCBs present at farms. Impacted areas need to be assessed with respect to potential contamination of food-producing animals. Livestock management techniques can reduce exposure to PCDD/Fs and PCBs. Further research and regulatory action are needed to overcome gaps. Control and reduction measures are recommended for emission sources and new listed and emerging POPs to ensure food safety.

     

Chromium toxicity and tolerance in plants

Chromium (Cr) is the second most common metal contaminant in ground water, soil, and sediments due to its wide industrial application, hence posing a serious environmental concern. Among various valence states, Cr(III) and Cr(VI) are the most stable forms. Cr(VI) is the most persistent in the soil and is highly toxic for biota. Since Cr is a non-essential element for plants, there is no uptake mechanism; Cr is taken up along essential elements such as sulfate through sulfate transporters. Cr accumulation in plants causes high toxicity in terms of reduction in growth and biomass accumulation, and Cr induces structural alterations. Cr interferes with photosynthetic and respiration processes, and water and minerals uptake mechanism. Various enzymatic activities related to starch and nitrogen metabolism are decreased by Cr toxicity either by direct interference with the enzymes or through the production of reactive oxygen species. Cr causes oxidative damage by destruction of membrane lipids and DNA damage. Cr may even cause the death of plant species. Few plant species are able to accumulate high amount of Cr without being damaged. Such Cr-tolerant, hyperaccumulator plants are exploited for their bioremediation property. The present review discusses Cr availability in the environment, Cr transfer to biota, toxicity issues, effect on germination and plant growth, morphological and ultrastructural aberrations, biochemical and physiological alterations, effect on metabolic processes, Cr-induced alterations at the molecular level, Cr hyperaccumulation and Cr detoxification mechanism, and the role of arbuscular mycorrhizae in Cr toxicity, in plants.     

SO_2和NO_2胁迫对红花荷等植物光合生理影响及抗性评价

为探讨红花荷（Rhodoleia championii）等12种园林植物抗SO2和NO2污染能力,以1～2年生实生苗为材料,通过人工气候室的盆栽实验,研究不同SO2和NO2混合气体胁迫对园林植物苗木光合参数和相对叶绿素含量的影响,并利用隶属函数法及系统聚类分析法对其抗SO2和NO2污染能力进行了综合评价。结果表明,植物叶片净光合速率、气孔导度、蒸腾速率和相对叶绿素含量基本上随着SO2和NO2胁迫的加剧而逐渐降低,但水分利用效率受净光合速率和蒸腾速率变化的影响规律不明显。综合隶属函数和聚类分析可知,红花荷和红千层（Callistemon rigidus）抗污染能力强,杜鹃红山茶（Camellia azalea）和粉红羊蹄甲（Bauhinia blakeana）抗污染能力较强,红花银桦（Grevillea robusta）和无忧树（Saraca divespierre）抗污染能力中等,大叶紫薇（Lagerstroemia speciosa）、金花风铃木（Tabebuia chrysantha）和腊肠树（Cassia fistula）抗污染能力较弱,而本地火焰木（Spathodea nilotica）、复羽叶栾树（Koelreuteria bipinnata）和樱花（Prunus serrulata）抗污染能力弱。研究结果为火电厂、陶瓷厂、钢铁厂、石化厂等重度酸污染地区植物选择提供参考。