生物炭对湘潭锰矿区土壤重金属的固化效应

通过室内培养实验,研究不同施用量(1%、2%、5%、10%、20%)的生物炭对锰矿区周边土壤中3种重金属锰(Mn)、铅(Pb)、铬(Cr)的固化效应。结果表明,生物炭施入土壤可使土壤中酸溶态、可还原态Mn、Pb、Cr含量分别降低1.18%~61.70%、2.38%~62.15%;而使土壤中可氧化态、残渣态Mn、Pb、Cr含量分别增加1.9%~224.41%、1.33%~44.5%;并且生物炭施入量与土壤中酸溶态、可还原态Mn、Pb、Cr含量呈显著负相关(r:-0.850~-0.526,P0.05),与土壤中可氧化态、残渣态Mn、Pb、Cr含量呈显著正相关(r:0.589~0.880,P0.05)。培养时间的延长对土壤中酸溶态、可还原态Mn、Pb、Cr向可氧化态、残渣态的转化有一定的促进作用。生物炭的施入也可极显著提高土壤p H值(P0.01),土壤p H值与土壤中酸溶态、可还原态Mn、Pb、Cr含量呈极显著负相关(r:-0.832~-0.559,P0.01),与土壤中可氧化态、残渣态Mn、Pb、Cr含量呈极显著正相关(r:0.634~0.878,P0.01),但培养时间对土壤p H值的变化无显著影响。该研究结果可为生物炭对湘潭锰矿区周边土壤中重金属Mn、Pb、Cr的固化效应研究提供一定的理论依据。     

小麦根际土壤汞的分布和形态变化

采用根际箱试验和连续化学萃取法,结合氢化物原子吸收光谱法,研究了非根际和根际土壤汞形态分布特征及小麦(Triticum aestivum)生长期土壤汞形态变化.结果表明.非根际汞形态分布顺序为:残渣态>强有机质结合态>碳酸盐铁锰氧化物结合态>腐殖酸络合态>水溶态>交换态,根际汞形态分布为:残渣态>碳酸盐铁锰氧化态>强有机质结合态>交换态>腐殖酸络合态>水溶态.当外源汞进入土壤后,在小麦生长60 d内,植物吸收使残渣态汞和水溶态汞含量明显降低,交换态汞和碳酸盐铁锰氧化态汞含量增加.土壤汞污染程度越大,在小麦中积累的汞就越多.其生物毒性增强,环境危害加大.     

广西典型高砷背景地区石漠化土壤中砷形态及相关因子研究

广西的喀斯特地貌分布广泛,部分石漠化地区的土壤砷污染问题比较突出。为深入了解广西重金属高背景地区石漠化土壤中砷的变化特征及其影响因素,采集广西环江县地质背景相似的不同石漠化程度(无石漠化、轻度石漠化、中度石漠化、重度石漠化)的表层土样,分析土壤样品中砷含量及形态,并采用多元线性回归模型分析石漠化土壤中砷形态的主要影响因子。结果表明,随着石漠化程度的加剧,表层土壤中砷含量呈现出逐渐增加的趋势,但是在重度石漠化土壤中砷含量有所下降。石漠化土壤样品中砷含量较高的区域分布在轻度和中度石漠化的中坡和下坡。石漠化土壤中砷形态主要以残渣态为主,其次是可氧化态和可还原态,最低的是水溶态;砷的水溶态、可氧化态、可还原态在土壤中的含量随着石漠化程度的加剧呈现出逐渐减少的趋势。多元回归分析表明阳离子交换量是影响水溶态砷和可氧化态砷的主要因子,p H值是影响弱酸提取态砷和可还原态砷的主要因子,呈极显著正相关(P0.01),总砷含量与残渣态砷呈显著正相关(P0.05)。     

九龙江河口潮间带表层沉积物汞污染分布、赋存形态与生态风险

研究九龙江河口汞污染情况可为该地区汞污染防治提供科学依据,测定九龙江河口潮间带表层沉积物中总汞含量及不同形态汞的含量,分析了汞的分布特征、赋存形态及生物有效性和潜在生态风险。结果表明:九龙江河口潮间带表层沉积物中总汞含量范围0.112~0.259 mg·kg-1,平均值0.172 mg·kg-1,部分采样点汞含量超过中国海洋沉积物质量第一类标准限值(0.20 mg·kg-1);沉积物中各形态汞平均比例顺序:残渣态(61.8%)可氧化态(27.8%)弱酸溶态(7.8%)可还原态(2.6%),可提取态占有相当的比例,对水体汞污染具有一定贡献。潜在生态风险指数法评价结果可知,该河口区潮间带沉积物中汞污染程度和生态风险程度均为中等~较高水平,需对汞污染进行综合防治。     

螯合剂对小麦幼苗吸收金属以及土壤金属形态的效应

本文通过盆栽试验研究三种螯合剂(EDTA、[S,S]-EDDS、DTPA)对小麦幼苗吸收土壤中重金属及其它微量元素的效应,并且通过改进的BCR连续提取法分析了种植后土壤样品中金属元素的形态。结果表明:EDTA、DTPA的添加导致小麦幼苗地上部分生物量以及叶片叶绿素a含量显著下降。螯合剂的存在明显增加了Pb和Mn在幼苗根部和茎叶的富集,并增加其由根部向茎叶的传输,但对Fe和Ni的作用比较小。小麦幼苗收获时,除Zn之外,其它元素酸溶/可交换态金属含量与对照组相比均有非常显著的增加,而各元素的可还原态由于EDTA等螯合剂的添加而有明显下降。添加螯合剂的情况下,富集量与酸溶/可交换态含量之间的相关系数大大提高,且各处理组茎叶富集量与酸溶/可交换态之间呈显著(P0.05)或极显著相关(P0.01)。因此,三种螯合剂的添加主要影响的是生物可利用形态以及潜在的生物可利用形态,并且可能导致可还原态以及可氧化态向酸溶/可交换态转变,增加金属的生物可利用性,从而也增加潜在生态风险。     

北京市表层浮土和水体底泥中汞的赋存形态及其相互关系

应用分级萃取法测定了12个北京市表层浮士和3个水体底泥中汞的赋存形态,并应用多元统计分析对其相互关系进行了研究.北京市表层浮土中汞的含量分布变异较大,但其趋势为:残渣态>强有机结合态>水溶态>其它形态.各形态汞含量主要取决于上壤和底泥中汞含量的大小,其次才是环境因素.强有机结合态和残渣态是主要的赋存形态,对汞在土壤和底泥中的固定起着重要的作用.较易移动的水溶态、FA结合态和交换态对汞在环境中的迁移转化也有一定的影响.盐酸提取态汞主要包括水溶态、交换态、FA结合态和碳酸盐结合态.     

北京市表层浮土和水体底泥中汞的赋存形态及其相互体系

应用分级萃取法测定了１２个北京有层浮土和３个水体底泥中汞的赋存形态，并应用多元统计分析和其相互关系进行了研究，北京市表层浮土中汞所含量分布变异较大，但其趋势为：残渣态〉强有机结合态〉水溶态〉其它形态，各形态汞含量以决于土壤和底泥中汞含量的大小，其次才是环境因素，强有机结合态和残渣态主要的赋存形态，对汞在土壤物底泥中的固定起着重要的作用，较易移动的水溶态、ＦＡ结合态和交换态对汞在环境中迁移转化也有一     

德兴矿区沉积物中铜的化学形态及其影响因素

采用BCR三步提取法测定了德兴矿区沉积物中铜的化学形态,并对铜化学形态的影响因素进行了研究.结果表明,(1)铜的可氧化态＞残渣晶格态＞酸可溶态＞可还原态,铜以硫化物结合态、有机结合态及残渣晶格态为主;(2)铜的潜在生物可利用形态的平均比例为71.99%,平均浓度为233.88 mg·kg-1,远高于全国沉积物铜的平均值,威胁当地的水生生态系统安全;(3)铜的酸可溶态与阳离子交换量CEC、有机质含量和氧化铁含量成正相关关系,而与铁锰含量和pH值的关系不明显;可氧化态与铁锰含量密切相关;可还原态与有机质含量相关.     

龙塘镇电子垃圾拆解区土壤和河流底泥重金属赋存形态及生态风险

龙塘镇是珠三角电子垃圾拆解区之一,采用AAS方法对该地土壤和河流底泥沉积物中5种重金属(Cd、Cr、Cu、Zn和Pb)含量进行测定分析,结果显示周围农田土壤中Cd含量是《国家土壤质量标准》二级标准的3倍左右,是广东省土壤背景值的20倍左右;拆解区土壤Cd超标最为严重,最高达5.67倍,超过广东省土壤背景值达36.17倍;拆解区下游0—1500 m河流底泥中Cd、Cr、Cu、Zn和Pb含量大幅增加且部分金属超标,Cd在0—40 cm深度内含量总体逐渐降低,仍远超背景值,Cu含量采样深度内递减规律最显著且在0—10 cm内含量超标,Cr、Zn和Pb除部分点位在表层积累较多外,其余与背景值相差不大且未超标.采用BCR(the Community Bureau of Reference)法提取重金属不同形态可知,底泥中Cd主要以弱酸溶态和可还原态为主,Cu主要以可氧化态存在,Cr主要以残渣态存在,而Zn和Pb则以可还原态为主;其中Cd的可提取态比例较高(60%),容易释放出来形成"二次污染".潜在生态风险结果表明,河流底泥中Cd生态危害程度属于极强(Ei320);其他金属Cr、Cu、Zn和Pb危害风险程度属于轻微(Ei40);金属Cd对整个RI值贡献最大(88%),应重点加强对Cd污染的防控.     

第二松花江哈达湾—哨口江段底质中汞形态分布规律的研究

本文采用连续化学浸提法将底质中汞分为水溶态、酸溶态、碱溶态、过氧化氢溶态和王水溶残渣态等部分。并对松花江哈达湾和哨口底质深度样品和哈达湾一组横断面样品进行了分析。实验发现,各溶态汞随深度及随与主河道的距离呈现出一定的规律,亦发现了底质有机质含量与总汞量、H_2O_2溶汞量和碱溶汞量的显著性直线相关;总汞与碱溶汞,H_2C_2溶汞和有机汞(包括酸溶有机汞和腐殖酸结合汞等)的显著性直线相关;腐殖酸汞与硫化汞之间的相关关系。     

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).