土壤中乐果与微生物的相互作用研究

采用室内模拟实验,研究了土壤中乐果与微生物的相互作用.结果表明:(1)50、500、5 000 mg·kg-1的乐果在灭菌土中的降解速度十分缓慢,加药后15d,50 mg·kg-1的降解率为69.3%,500 mg·kg-1的降解率为26.7%,5 000 mg·kg-1的降解率为19.6%.在施过乐果的土壤中的降解速度非常迅速,加药后15d,50 mg·kg-1的降解率为99.7%,500 mg·kg-1的降解率为78.4%,5 000 mg·kg-1的降解率为54.6%.在未施过乐果的土壤中的降解速度则介于二者之间.说明微生物在乐果的降解中起着非常重要的作用,同时,施药可以诱发乐果降解菌的生成从而加速乐果的降解.(2)在各处理的土壤中,50 mg·k-1的乐果对细菌数星有一定的刺激作用,500、5 000 mg·kg-1的乐果抑制细菌的生长.且随质量浓度的升高,抑制作用增强.但随加药时间的延长,又有所恢复.3种不同质量浓度的乐果对土壤真菌和放线菌种群数量的影响均表现为明显的抑制作用,且随药剂质量浓度的提高和加药时间的延长抑制趋势越明显.因此,可以选择真菌和放线菌作为土壤受乐果污染的敏感指示菌.(3)在同样处理条件下,施过乐果土壤中的微生物种群数量并不比未施过乐果土壤中的占优势,表明乐果在施过药的土壤中降解速度的加快并不是由微生物的数量决定的,而是由它们的降解能力决定的.     

呋喃丹对海南花岗岩砖红壤微生物种群的影响

在室温下培养土样并采用梯度稀释涂布的方法研究了不同质量分数的呋喃丹对砖红壤中细菌、真菌和放线菌3大主要土壤微生物种群数量变化的影响。结果表明,细菌、真菌和放线菌种群对呋喃丹的反应随其施加质量分数的不同而有所差别。培养初期,5mg·kg-1呋喃丹处理土壤的细菌、真菌、放线菌数量相对最少。而在整个培养周期内随着培养时间的增加,各处理细菌和放线菌数量均能恢复并接近对照水平,但真菌的生长一直受到抑制且呋喃丹质量分数越大其受抑制程度也越大,表明呋喃丹对细菌和放线菌无明显的影响,而抑制真菌的趋势明显。因此,真菌可以被作为海南砖红壤受呋喃丹污染的敏感指示菌。     

丁草胺污染对高产水稻土微生物区系的影响

土壤微生物多样性是表征土壤质量最有潜力的指标,与农田生态系统的稳定性和生产力密切相关。云南永胜涛源乡是保持我国水稻小面积超高产纪录的特殊生态区,常年施用丁草胺作为选择性芽前除草剂,因此,了解丁草胺对其土壤微生物物种多样性的影响意义重大。采用平板菌落计数法,研究了模拟条件下不同丁草胺剂量（有效成分质量分数0.15、0.30和1.5 mg·kg^-1）对高产水稻土中好氧细菌（aerobic bacteria）、放线菌（actinobacteria）和真菌（fungi）,以及功能微生物自生固氮菌（nitrogen fixing bacteria）、磷酸盐溶解菌（phosphate solubilizing bacteria）和硅酸盐细菌（silicate dissolving bacteria）数量的影响。结果表明：施药7 d,中、高质量分数（0.30和1.50 mg·kg^-1）丁草胺处理好氧细菌数量比CK分别高出78.6%和153.8%,而后数量逐渐下降,表现出先刺激生长、后抑制活性的作用,低质量分数（0.15 mg·kg^-1）丁草胺对好氧细菌的生长和增殖影响不明显;施药7 d,高质量分数处理放线菌数量超过CK 75.1%,表现出明显的刺激作用;施药15 d,中等质量分数处理放线菌数量比 CK 高出125.0%,丁草胺浓度越高,刺激作用越迅速,低浓度丁草胺对放线菌则主要表现为抑制作用。低浓度丁草胺对真菌的生长和增殖基本没有影响,中等浓度有先抑制后刺激的作用,施药30 d后其真菌数量超过CK 56.9%,高浓度丁草胺则表现为抑制作用,施药7、30和45 d其真菌数量始终显著低于CK;不同浓度处理丁草胺均能刺激自生固氮菌的数量显著增加,施药7 d,低、中、高质量分数处理自生固氮菌数量分别高出CK 237.1%,179.9%和138.1%,刺激作用显著,但随培养时间延长,高浓度开始表现出抑制作用;不同浓度丁草胺均能抑制磷酸盐溶解菌的生长和增殖,低浓度处理抑制作用微弱,中、高浓度处     

皇竹草对土壤阿特拉津的修复作用

通过盆栽试验探讨了种植皇竹草（Pennisetum hydridum）对阿特拉津污染土壤的修复效果,阿特拉津对皇竹草生长的影响,以及皇竹草对土壤微生物数量的影响,以期为阿特拉津污染土壤的植物修复提供参考。结果表明：在≤200 mg.kg-1质量分数范围以内,种植皇竹草对土壤阿特拉津的初期降解效率比对照明显提高,最大提高了29.64%,达到显著或极显著差异;阿特拉津质量分数在≤200 mg.kg-1范围内对皇竹草株高没有影响,≤50 mg.kg-1质量分数范围内对生物量没有影响,根冠比变化不明显;随阿特拉津质量分数的增加皇竹草根际和非根际土壤中的细菌、真菌、放线菌数量均呈先增加后减少的趋势,在质量分数为100 mg.kg-1时达到最大,根际土壤中细菌和放线菌数量明显高于非根际土壤,真菌数量在根际与非根际土壤中变化不明显。说明种植皇竹草有助于阿特拉津降解效率的提高,且与种植皇竹草后改变了土壤微生物数量及皇竹草的生长状况有关。     

蔬菜土壤微生物种群数量与土壤重金属含量的关系

对呈贡县蔬菜土壤微生物种群数量和土壤重金属质量分数进行大田调查分析，结果表明，土壤微生物种群数量和微生物多样性指数变化较大，土壤微生物种群数量总体水平较高，但微生物多样性指数偏低，其中以细菌占较大的优势；土壤重金属对土壤微生物数量和微生物多样性均有一定的影响，其中土壤中Pb和Cu的质量分数与土壤微生物种群数量显著相关；土壤重金属综合污染指数与真菌／细菌个数比例、真菌／放线菌个数比例与微生物多样性指数均呈显著的指数相关。随着重金属综合污染指数的增加，微生物多样性指数呈指数式地迅速下降。     

铝对土壤微生物区系组成的影响

通过大豆盆栽试验,研究了金属铝对土壤微生物区系组成的影响。结果表明,当铝质量分数<1.1 g/kg时,土壤细菌、放线菌的数量随着铝质量分数的增加而增加;当铝质量分数>1.1 g/kg时,土壤细菌、放线菌的数量随着铝质量分数的增加而减少。铝对丝状真菌的生长具有明显的促进作用。在低质量分数下,铝对土壤氨化细菌、硝化细菌、反硝化细菌具有一定的刺激作用;当质量分数>1.1 g/kg时,则表现为抑制作用,最大抑制率分别达48%、96%和95%;土壤硝化细菌、反硝化细菌可以作为铝污染土壤生态环境的指示菌。自生固氮菌的数量随铝质量分数的升高而逐渐下降。铝对土壤微生物区系产生抑制作用的临界质量分数在1.3 g/kg左右。     

磺胺类兽药对土壤微生物数量的影响

采用室内培养的方法,研究磺胺类兽药(磺胺二甲基嘧啶、磺胺甲噁唑)污染对土壤微生物数量(细菌、真菌、放线菌、固氮菌、兼气性固氮菌、硝化细菌、亚硝化细菌、反硝化细菌及氨化细菌)的影响.结果表明,磺胺类兽药对土壤细菌数量有一定的激活作用,其最大激活率在700%以上.兽药对土壤真菌数量的影响主要呈现抑制作用,其最高抑制率为92.9%.兽药对土壤放线菌数量有一定的抑制作用,对土壤固氮菌数量则有一定的激活作用.兽药对土壤兼气性固氮菌数量的影响表现为较低浓度时(10 mg.kg-1)抑制,而较高浓度时(50 mg.kg-1)则激活.兽药对土壤硝化细菌、亚硝化细菌、反硝化细菌及氨化细菌有一定的激活作用,其中对硝化细菌的最大激活率可达1000%以上.     

土默川平原不同盐渍化程度土壤微生物生态特征研究

为了探究土壤微生物对不同盐渍化程度土壤质量的响应,以土默川平原盐渍化土壤为研究对象,采用平板稀释法和氯仿熏蒸法分析了土默川平原不同盐渍化程度土壤微生物区系、结构组成、微生物生物量碳及微生物熵的季节动态特征。结果表明:土默川平原土壤微生物总量较少,变化范围在2.89×105～38.77×106个g-1干土之间,其中细菌占绝对优势,占微生物总数的93.14%～99.53%。随着盐渍化程度的加重,土壤细菌、真菌和放线菌数量及微生物总数呈显著下降的趋势,其中细菌数量在轻度、中度、重度盐渍化程度下的比值为1∶0.83∶0.60,真菌为1∶0.70∶0.30,放线菌为1∶0.66∶0.56,微生物总数为1∶0.84∶0.61;除真菌外,不同盐渍化程度土壤细菌、放线菌及微生物总数呈极显著的季节性变化。土壤种群数量占微生物总数的比例大小为细菌>放线菌>真菌。不同盐渍化程度土壤微生物量碳和微生物熵表现为:轻度盐渍化>中度盐渍化>重度盐渍化;不同盐渍化程度土壤微生物生物量碳和微生物熵的季节动态呈单峰上凸式曲线变化,在8月份达最高值,其值为0.15 g kg-1、3.44%。因此,土默川平原不同盐渍化程度土壤微生物区系特征差异显著,土壤盐分含量是影响该地区微生物生长的主要因素。     

安普霉素对不同土壤中微生物活动的影响

研究了兽药抗生素安普霉素对不同土壤中微生物呼吸活动和对土壤中微生物种群生长的影响，了解该药物对土壤生态系统生态毒理学效应，以便为药物的环境安全性评价提供依据。利用直接吸收法(密闭法)测定安普霉素对土壤微生物呼吸活动的影响，结果表明：安普霉素对不同土壤中微生物呼吸活动的影响有所差异。在污染的中后期，长春土中加入一定量的安普霉素能刺激土壤的呼吸作用。在染毒的前期，安普霉素对成都土中CO2的释放量均有抑制作用。采用稀释平板法测定了药物对不同土壤中细菌、真菌生长的影响。实验结果显示：安普霉素对土壤中的细菌的生长具有明显的抑制作用，成都土和长春土的抑菌作用最为明显；同时安普霉素的这种抑制作用还表现出时间差异，24h的抑制率高于48h。安普霉素对土壤中真菌生长的影响表现出地域差异，低质量分数的安普霉素对成都土和武汉土中的真菌没有抑制作用。在所测的四种土壤中，南京土中药物对真菌的平均抑制率最高。这可能与土壤中微生物的种类和种群结构有关。安普霉素对不同土壤中对真菌的抑制作用，随药物质量分数的降低和作用时间的延长而降低。     

甲胺磷和乙草胺对产甲烷菌种群数量及其活性的影响

采用厌氧培养箱、气相色谱技术和MPN计数法,研究了甲胺磷和乙草胺在4种浓度(0 1、0 2、0 5和1 0mg·L-1)下对水稻田土壤产甲烷菌种群数量及其活性的影响。加甲胺磷后7d内刺激产甲烷菌种群的生长,数量增加0.2～44.1倍,每管的产甲烷量增加0.8～2.1倍,且刺激作用随药剂浓度的增加而增强;加乙草胺后7d内,产甲烷菌的生长受到抑制,数量下降了50%～99%,每管的产甲烷量显著减少,且抑制作用随药剂浓度的增加而增强。随着加药时间的延长,甲胺磷和乙草胺逐渐降解,产甲烷菌数量又恢复至原有水平。     

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).