镉胁迫对龙葵幼苗光合特性和营养元素吸收的影响

采用模拟镉污染土壤培养法研究了镉对龙葵(Solarium nigrum L)幼苗光合特性及营养元素吸收的影响.结果表明:镉处理显著降低龙葵幼苗叶片色素含量.T1-T4镉处理下,龙葵叶绿素a、叶绿素b和类胡萝卜素含量的降幅分别为4.53%～32.39%、5.12%～29.89%和4.54%～19.82%0随镉处理浓度的增加,龙葵幼苗叶片净光合速率(Pn)、气孔导度(Gs)和蒸腾速率(Tr)均呈下降趋势,T1-T4镉处理下,分别较对照(CK)下降6.01%～61.71%、17.94%～55.32%和17.68%～68.10%,而胞间CO2浓度(Ci)则增加8.19%～30.04%.同时,可变荧光和最大荧光之比(Fv/Fm)显著降低.镉处理还导致龙葵植株营养元素吸收紊乱.镉促进龙葵叶片和根系K吸收,对Na吸收影响不显著.同时,镉促进根系Mg吸收,但抑制其向地上部转运.低浓度镉处理促进叶片Ca吸收.龙葵根、茎、叶Zn含量随镉处理浓度的提高均表现为低促高抑.根系Cu吸收随镉浓度提高而增加,叶片先增后降,各器官Fe含量随镉浓度提高逐渐降低,而根系Mn含量受镉抑制.     

蔗糖浓度和光强对姜试管苗生长和光合的影响

研究了0%、1%、3%三个蔗糖浓度和60、120、180 μmol m-2 s-1三个光强梯度对河南张良姜和四川竹根姜试管苗生长和光合作用的影响.结果表明,随着蔗糖浓度的降低,两个品种试管苗的生长受到明显抑制,叶绿素和类胡萝卜素含量也随之下降,但总光合速率(Pg)、净光合速率(Pn)和暗呼吸速率(Rd)却随之升高, Fv/Fm均以3%蔗糖处理最低.将光强从60 μmol m-2 s-1提高到120 μmol m-2 s-1,对试管苗生长有一定促进作用,但180 μmol m-2 s-1光强下其生长受到抑制.两个品种的叶绿素含量随光强增加均呈下降趋势.张良姜Pn以120 μmol m-2 s-1光强处理最高,竹根姜Pn随培养光强升高而升高, 180 μmol m-2 s-1光强下达到最大值,为0.88 μmol m-2 s-1. 180 μmol m-2 s-1光强下培养的张良姜试管苗Fv/Fm明显降低,发生了光抑制.竹根姜各光强处理间Fv/Fm无显著差异.张良姜试管苗的Rd随培养光强升高而增大,而竹根姜各光强处理间Rd差异不显著.表6参22     

不同谷氨酸浓度下钝顶螺旋藻的生长反应

通过在Zarrouk培养基中添加不同浓度的谷氨酸（Glu）对螺旋藻进行混合营养培养，研究了不同浓度的Glu对螺旋藻的生长、叶绿素、蛋白质含量以及光合作用的影响，结果表明，Glu浓度小于1．0gL^-1时，藻生长状态、生理活性都明显优于Z氏培养基，其中以在0．8gL^-1浓度时生长最好；当Glu浓度为1．0gL^-1时，藻的生长状态与Z氏培养基中极为相似；Glu浓度大于1．0gL^-1时，对藻的生长产生一定抑制作用，Glu的添加对藻液体系的pH值有一定的缓冲作用，图4表2参7     

多壁碳纳米管与镉复合污染对水稻生长的影响

选取水稻(Oryza sativa)为研究对象,采用营养液水培法,以营养液(0 mg·L~(-1) MWCNTs、0 mg·L~(-1) Cd~(2+))为参照,分析不同浓度梯度下多壁碳纳米管(MWCNTs)单一处理、MWCNTs与Cd~(2+)复合处理对水稻生长的影响.结果表明,MWCNTs单一处理中,水稻幼苗的生长与MWCNTs添加浓度呈明显负相关.低浓度的MWCNTs(1.5 mg·L~(-1))对水稻幼苗的生长产生抑制作用,较高浓度的MWCNTs(≥6.0 mg·L~(-1))会显著(P0.05)抑制水稻幼苗的生长.添加5 mg·L~(-1) Cd~(2+)会增强MWCNTs对水稻幼苗的生长抑制,当MWCNTs浓度从1.5 mg·L~(-1)上升到12 mg·L~(-1),单一处理组与复合处理组相比,水稻幼苗的根系活力分别下降6.4%、10.4%、24.4%和13.9%;水稻幼苗的叶绿素含量显著降低;复合处理组的水稻叶片的POD活性略高于单一处理组,分别高出11.0%、46.1%、5.6%、11.6%;水稻幼苗叶片气孔导度变小、胞间CO_2浓度升高、光合速率减慢.MWCNTs与Cd~(2+)对水稻幼苗的生长具有明显的协同抑制效应.     

亚热带不同林地植物光合作用对空气CO_2浓度增高的响应

以桃金娘、荷木及九节和罗伞分别代表生长在密林、中等疏密林和疏林植物 .在较高空气CO2 浓度下 ,随着光强增加 ,疏林的桃金娘光合速率 (An/ μmolm-2 s-1)与光强关系曲线的最初直线部分斜率为 0 .0 5 1,而中等疏密林的荷木和九节则分别为 0 .0 39和 0 .0 34 ,密林的罗伞则较低 ,仅为 0 .0 2 2 .疏林桃金娘的不包括光呼吸的CO2 补偿点为Γ 38.1μLL-1,较荷木和九节分别约高 8.8%和 10 .7% ;较罗伞约高 14.7% .除罗伞有较低光呼吸速率外 ,疏林的桃金娘和中等疏密林荷木及九节的光呼吸速率 (Rd)相似 .光合作用的Rup2 饱和速率 (Vcmax)80 .2 μmolm-2 s-1,较荷木和九节分别高 2 4.8%和 2 2 .9% ,表明生长在疏林的桃金娘有较大羧化作用潜力 .实际电子传递速率与Rup2 再生有关 ,桃金娘的实际电子传递速率为 10 2 .7μmolm-2 s-1,明显较荷木和九节高 .罗伞有低的电子传导率 ,可能罗伞光合速率受Rup2 再生的明显限制 .桃金娘的光能转化效率δ为 0 .47electrons/quan tum .而中等疏密林的荷木和九节则为 0 .2 3和 0 .2 6electrons/quantum .疏林植物生长快 ,光合产物库不受限制时 ,空气CO2 浓度增高 ,有利于促进阳生阔叶树种的光合速率持续增高 ,促进其种群优势 .图 4表 1参 12     

锰污染土壤对酸模叶蓼氮素代谢的影响

探讨超富集植物高浓度金属富集量对其生理机制的影响,对于了解超富集植物强大的解毒机制与其生理机制的相关性有重要意义。采用室内原矿土栽培的方法,研究了贺州某锰矿区未开采区(T2)、探矿区(T3)、恢复区(T4)、开采区(T5)、尾矿库(T6)土壤及桂林未受污染的菜园土(T1)对锰超富集植物酸模叶蓼(Polygonum lapathifolium L.)生长,锰吸收,叶片铵态氮、硝态氮、游离脯氨酸、可溶性蛋白质含量及氮素代谢关键酶(硝酸还原酶NR)、谷氨酰胺合成酶GS、谷氨酸合酶GOGAT和谷氨酸脱氢酶GDH)活性的影响。结果表明,随着Mn处理浓度的提高,酸模叶蓼根、茎、叶中Mn含量显著增加(P0.05),叶绿素a、叶绿素b和总叶绿素在T3处理时含量最高,此时分别为对照的1.15、1.23和1.17倍,但所有锰处理下酸模叶蓼生物量无显著性差异(P0.05)。Mn处理一定程度上提高了叶片中可溶性蛋白质含量,引起了酸模叶蓼氮素代谢关键酶活性的变化及硝态氮、铵态氮和脯氨酸含量的显著增加(P0.05)。T6处理硝态氮、铵态氮和脯氨酸含量最高,分别比对照提高了17.6%、43.8%和206.2%。NR、GS和GOGAT活性呈先增加后降低的变化趋势,NR、GS和GOGAT活性分别在T2、T3、T4处理时最高,此时分别比对照提高了6.4%、28.8%和66.4%。GDH活性则随着Mn处理浓度的增加而增加,在T6处理时活性最高,比对照提高了1.74倍。以上表明,GDH在解毒Mn毒害过程中具有重要作用。     

苯酚对两种微囊藻生长的作用效应

用不同浓度的苯酚处理无毒铜绿微囊藻和有毒铜绿微囊藻。结果显示不加苯酚处理时，有毒藻生长量明显高于无毒藻；100μg／mL的苯酚促进无毒藻生长而抑制有毒藻的生长；苯酚浓度增至200μg／mL，无毒藻的生长才受到抑制。高浓度苯酚胁迫下的藻细胞：光合速率大幅度降低；可溶性蛋白含量减少；细胞膜透性增大；超氧阴离子(O2^-)产生速率和丙二醛(MDA)相对含量升高；超氧化物歧化酶(SOD)活性降低。这些变化有毒藻较无毒藻更显著。表明：有毒微囊藻是水华中的优势种群；两种藻中有毒藻对苯酚的敏感性更大。     

干旱胁迫过程中外源钙对忍冬光合生理的影响

以不同浓度Ca2＋对干旱胁迫处理下的忍冬进行化学调控,研究外源Ca2＋对干旱胁迫处理下忍冬叶片中叶绿素含量、可溶性糖含量、游离脯氨酸含量、过氧化氢酶活性以及光合速率的影响,以探讨外源Ca2＋对缓解干旱胁迫下忍冬光合作用下降的作用机制。结果表明,干旱胁迫下,忍冬的正常生理代谢明显受到抑制,叶绿素质量分数、可溶性糖质量分数、游离脯氨酸质量分数、过氧化氢酶活性以及光合速率分别降低到0.4 mg·g-1、0.06~0.1 mg·g-1、0.8 mg·g-1、0.25 u.mg-1和12~14μmol·m-2.s-1;当施入钙离子后,干旱胁迫对忍冬的伤害得到不同程度的缓解,并在最大程度上稳定叶绿素含量和CAT活性;并能使脯氨酸和可溶性糖的积累显著减少。说明外源Ca2＋能够在一定程度上弥补干旱胁迫导致的Ca2＋亏缺,使植物维持较正常的生理活动,稳定细胞膜结构,维持体内离子吸收平衡,维持较高的光合速率并保护光合结构。     

大气高CO2浓度对油菜氮素同化累积与植株生长的影响

为了指导高CO2浓度条件下甘蓝型油菜Brassica napus L.合理施氮、创建油菜高产高效以及进一步探明油菜氮代谢的调节机制提供理论依据,本研究采用微区试验,研究2个油菜品种（沪油15-33号和742-2）在2个CO2浓度水平（自然CO2摩尔分数400μmol·mol-1和高CO2摩尔分数（800±20）μmol·mol-1）和2个氮素水平（施氮与不施氮）条件下,氮素同化酶（NR和GS）活性和可溶性蛋白含量的变化,以及油菜地上部干物质量和氮素累积量的响应。试验结果表明,高CO2浓度会提高NR和GS活性;在氮素处理的影响方面,NR活性的变化与油菜的品种和生育时期不同有关：在高CO2浓度条件下,品种A在各时期的施氮处理的酶活性高于不施氮处理;品种B只在抽薹期的施氮处理低于不施氮处理,其他时期则升高;对于GS酶活性,在自然CO2浓度条件下施氮会提高GS酶活性,高CO2浓度条件下施氮则降低其活性（苗期除外）。CO2浓度升高会降低叶片中可溶性蛋白含量（盛花期除外）;在正常CO2浓度下,增施氮肥会提高叶片中可溶性蛋白含量,而在高CO2浓度下,增施氮肥会降低叶片中可溶性蛋白含量。CO2浓度升高和增施氮肥都会提高油菜地上部干物质量与氮素累积量,油菜干物质量与氮素累积量总体上与上述测定指标呈极显著相关。     

大气CO_2浓度升高和氮肥施用对三江平原湿地小叶章生物量及根冠比的影响

利用开顶箱薰气室(open-top chamber)试验装置,研究了不施氮(NN)、施常氮(MN,5 g·m-2)和施高氮(HN,15 g·m-2)3个氮素水平下大气CO2浓度升高对小叶章(Calamagrostis angustifolia)生物量和根冠比的影响.结果表明,大气CO2浓度升高对小叶章生物量的影响因生长期而异.大气CO2浓度升高对小叶章地上生物量的促进作用主要表现在生长前期,拔节期和抽穗期地上生物量较正常大气CO2浓度增加12.42%～22.60%,而腊熟期和成熟期仅增加3.11%～12.97%;大气CO2浓度升高对小叶章地下生物量的促进作用在生长后期表现明显,除拔节期外,小叶章地下生物量增加17.63%～42.20%.小叶章生物量和根冠比对大气CO2浓度的响应与供N水平有关.在HN水平下,大气CO2浓度升高使小叶章生物量和根冠比明显增加,在NN条件下促进作用则不显著.小叶章根冠比明显增加主要是地下生物量显著增长引起的.     

Rapid,recurring, structured survey versus bioblitz for generating biodiversity data and analysis with a multispecies abundance model

A bioblitz inexpensively and quickly generates biodiversity data, but bioblitzes are often conducted with haphazard, unreplicated sampling. Results tend to be taxonomically, geographically, or temporally biased, lack metadata, and consist of lists of observed taxa that do not enable further analyses or correction for imperfect detection. A rapid, recurring, structured survey (RRSS) uses a structured sampling design and temporal and spatial replication to survey randomly selected sites on a conservation property. We participated in a loosely structured bioblitz and a subsequent RRSS at Big Canoe Creek Nature Preserve in Springville (St. Clair County), Alabama (USA) to compare observed richness derived from the 2 survey approaches. The RRSS data structure enabled us to fit models that accounted for imperfect detection to estimate abundances, occupancy probabilities, and habitat associations. The loosely structured bioblitz data could not be used in such models. We present a new integrated multispecies abundance model that we applied to avian RRSS data. Our model extension enables estimation for the community, employs data augmentation to estimate the number of undetected species, and incorporates covariates. The RRSS generated a more comprehensive and less biased list of observed taxonomic richness than the loosely structured bioblitz (e.g., 73 vs. 45 bird species and 104 vs. 63 insect families from the RRSS vs. loosely structured bioblitz, respectively). Models fit to the RRSS data identified seasonal patterns in avian community composition and allowed for estimation of habitat–occupancy relationships for insect taxa. The RRSS protocol has potential for broad transferability as a standardized, quick, and inexpensive way to inventory biodiversity and estimate ecological parameters while providing an outreach opportunity.     

Compliance with and ecosystem function of biodiversity offsets in North American and European freshwaters

Land-use change via human development is a major driver of biodiversity loss. To reduce these impacts, billions of dollars are spent on biodiversity offsets. However, studies evaluating offset project effectiveness that examine components such as the overall compliance and function of projects remain rare. We reviewed 577 offsetting projects in freshwater ecosystems that included the metrics project size, type of aquatic system (e.g., wetland and creek), offsetting measure (e.g., enhancement, restoration, and creation), and an assessment of the projects’ compliance and functional success. Project information was obtained from scientific and government databases and gray literature. Despite considerable investment in offsetting projects, crucial problems persisted. Although compliance and function were related to each other, a high level of compliance did not guarantee a high degree of function. However, large projects relative to area had better function than small projects. Function improved when projects targeted productivity or specific ecosystem features and when multiple complementary management targets were in place. Restorative measures were more likely to achieve targets than creating entirely new ecosystems. Altogether the relationships we found highlight specific ecological processes that may help improve offsetting outcomes.     

A palaeo-hydrogeological model for arsenic contamination in southern and south-east Asia

An argument is presented in which areas of natural arsenic contamination of modern groundwaters throughout Asia have a common origin. Arsenic originally accumulated in oceanic ferro-manganoan sediments of the eastern Palaeo-Tethys. This was further concentrated through oceanic crustal extinction in what later became the south-east Chinese accreted mineralised terrain. Proto-Himalayan uplift of this area created the palaeo-drainage systems of the Ganges – Brahmaputra, Irrawaddy, Mekong, and Red Rivers, with consequent headwater erosion of arsenic-rich sediments. Their downstream deposition as immature and easily redistributed Neogene sandstones, silts, and iron-rich clays has created secondary and tertiary reservoirs of adsorbed and authigenic arsenic, from which the current arsenic-rich groundwaters have evolved. Considering river basins within the above palaeo-hydrogeological framework provides a basis for assessing the risk of arsenic in groundwater basins of south and south-eastern Asia.     

Cost‐effective conservation of an endangered frog under uncertainty

How should managers choose among conservation options when resources are scarce and there is uncertainty regarding the effectiveness of actions? Well‐developed tools exist for prioritizing areas for one‐time and binary actions (e.g., protect vs. not protect), but methods for prioritizing incremental or ongoing actions (such as habitat creation and maintenance) remain uncommon. We devised an approach that combines metapopulation viability and cost‐effectiveness analyses to select among alternative conservation actions while accounting for uncertainty. In our study, cost‐effectiveness is the ratio between the benefit of an action and its economic cost, where benefit is the change in metapopulation viability. We applied the approach to the case of the endangered growling grass frog (Litoria raniformis), which is threatened by urban development. We extended a Bayesian model to predict metapopulation viability under 9 urbanization and management scenarios and incorporated the full probability distribution of possible outcomes for each scenario into the cost‐effectiveness analysis. This allowed us to discern between cost‐effective alternatives that were robust to uncertainty and those with a relatively high risk of failure. We found a relatively high risk of extinction following urbanization if the only action was reservation of core habitat; habitat creation actions performed better than enhancement actions; and cost‐effectiveness ranking changed depending on the consideration of uncertainty. Our results suggest that creation and maintenance of wetlands dedicated to L. raniformis is the only cost‐effective action likely to result in a sufficiently low risk of extinction. To our knowledge we are the first study to use Bayesian metapopulation viability analysis to explicitly incorporate parametric and demographic uncertainty into a cost‐effective evaluation of conservation actions. The approach offers guidance to decision makers aiming to achieve cost‐effective conservation under uncertainty.     

Threats to intact tropical peatlands and opportunities for their conservation

Large, intact areas of tropical peatland are highly threatened at a global scale by the expansion of commercial agriculture and other forms of economic development. Conserving peatlands on a landscape scale, with their hydrology intact, is of international conservation importance to preserve their distinctive biodiversity and ecosystem services and maintain their resilience to future environmental change. We explored threats to and opportunities for conserving remaining intact tropical peatlands; thus, we excluded peatlands of Indonesia and Malaysia, where extensive deforestation, drainage, and conversion to plantations means conservation in this region can protect only small fragments of the original ecosystem. We focused on a case study, the Pastaza‐Marañón Foreland Basin (PMFB) in Peru, which is among the largest known intact tropical peatland landscapes in the world and is representative of peatland vulnerability. Maintenance of the hydrological conditions critical for carbon storage and ecosystem function of peatlands is, in the PMFB, primarily threatened by expansion of commercial agriculture linked to new transport infrastructure that is facilitating access to remote areas. There remain opportunities in the PMFB and elsewhere to develop alternative, more sustainable land‐use practices. Although some of the peatlands in the PMFB fall within existing legally protected areas, this protection does not include the most carbon‐dense (domed pole forest) areas. New carbon‐based conservation instruments (e.g., REDD+, Green Climate Fund), developing markets for sustainable peatland products, transferring land title to local communities, and expanding protected areas offer pathways to increased protection for intact tropical peatlands in Amazonia and elsewhere, such as those in New Guinea and Central Africa which remain, for the moment, broadly beyond the frontier of commercial development.     

Parasitic wasps orient to green leaf volatiles

Summary Undamaged plants emit low levels of green leaf volatiles (GLVs), while caterpillar-damaged and artificially damaged plants emit relatively higher levels of certain GLVs. Female braconid parasitoids,Microplitis croceipes, oriented to both damaged plants and to individual GLVs in no-choice tests in a wind tunnel, but seldom oriented to undamaged plants. Female ichneumonid parasitoids,Netelia heroica, also oriented to individual GLVs in a wind tunnel. Males of both wasp species failed to orient to the GLVs. These data show that leaf-feeding caterpillars can cause the release of GLVs, and that parasitic wasps can respond to these odors by flying upwind (chemoanemotactic response), which brings the wasps to their caterpillar hosts. This supports the hypothesis that plants communicate with members of the third trophic level,i.e., plants under herbivore attack emit chemical signals that guide natural enemies of herbivores to sites of plant damage. In this interaction, the GLVs serve as tritrophic plant-to-parasitoid synomones. That parasitoids from two different wasp families oriented to GLVs suggests that the response may be widespread among the Hymenoptera.Mention of a commercial or proprietary product does not constitute an endorsement by the U.S. Department of Agriculture     

Human Influence and Classical Biogeographic Predictors of Rare Species Occurrence

Biogeographic theory predicts that rare species occur more often in larger, less‐isolated habitat patches and suggests that patch size and connectivity are positive predictors of patch quality for conservation. However, in areas substantially modified by humans, rare species may be relegated to the most isolated patches. We used data from plant surveys of 81 meadow patches in the Georgia Basin of Canada and the United States to show that presence of threatened and endangered plants was positively predicted for patches that were isolated on small islands surrounded by ocean and for patches that were isolated by surrounding forest. Neither patch size nor connectivity were positive predictors of rare species occurrence. Thus, in our study area, human influence, presumably due to disturbance or introduction of competitive non‐native species, appears to have overwhelmed classical predictors of rare species distribution, such that greater patch isolation appeared to favor presence of rare species. We suggest conservation planners consider the potential advantages of protecting geographically isolated patches in human‐modified landscapes because such patches may represent the only habitats in which rare species are likely to persist. Influencia Humana y Predictores Biogeográficos Clásicos de la Ocurrencia de Especies Raras     

Seasonal dynamics of macro-algae in the South Lake of Tunis

The macro-algae communities observed in the south lake of Tunis are characterized by the predominance of nitrophilous algae which are in the order of biomass importance:Ulva, Cladophora andEnteromorpha. We have noted seasonal changes of alga distribution. The wind appears to be one of the most important factors influencing this distribution. The total biomass reaches a maximum in the spring. Rapid decomposition of the biomass leads to a severe ecological imbalance, resulting in crises of anoxia and fish death. A restoration project has already started. It aims at removal of contaminated muds and the introduction of a new circulation system. The main objectives of this work were to collect information on the distribution and biomass of the phytobenthic communities as a first step in the constitution of a database for further comparison.     

Patterns and biases of climate change threats in the IUCN Red List

International Union for Conservation of Nature (IUCN) Red List assessments rely on published data and expert inputs, and biases can be introduced where underlying definitions and concepts are ambiguous. Consideration of climate change threat is no exception, and recently numerous approaches to assessing the threat of climate change to species have been developed. We explored IUCN Red List assessments of amphibians and birds to determine whether species listed as threatened by climate change display distinct patterns in terms of habitat occupied and additional nonclimatic threats faced. We compared IUCN Red List data with a published data set of species’ biological and ecological traits believed to infer high vulnerability to climate change and determined whether distributions of climate change‐threatened species on the IUCN Red List concur with those of climate change‐threatened species identified with the trait‐based approach and whether species possessing these traits are more likely to have climate change listed as a threat on the IUCN Red List. Species in some ecosystems (e.g., grassland, shrubland) and subject to particular threats (e.g., invasive species) were more likely to have climate change as a listed threat. Geographical patterns of climate change‐threatened amphibians and birds on the IUCN Red List were incongruent with patterns of global species richness and patterns identified using trait‐based approaches. Certain traits were linked to increases or decreases in the likelihood of a species being threatened by climate change. Broad temperature tolerance of a species was consistently related to an increased likelihood of climate change threat, indicating counterintuitive relationships in IUCN assessments. To improve the robustness of species assessments of the vulnerability or extinction risk associated with climate change, we suggest IUCN adopt a more cohesive approach whereby specific traits highlighted by our results are considered in Red List assessments. To achieve this and to strengthen the climate change‐vulnerability assessments approach, it is necessary to identify and implement logical avenues for further research into traits that make species vulnerable to climate change (including population‐level threats).