多氯联苯在土壤中的吸附规律及其影响因素研究

为了建立定量描述土壤中多氯联苯（PCBs）迁移规律的数学模型,以采自现代黄河三角洲地区的土壤为研究对象,针对类二噁英类多氯联苯PCB81及阻转类多氯联苯PCB95在土壤中的吸附行为进行了研究,获得了其吸附等温方程并分析了土壤有机质含量、颗粒组成、pH、矿物质含量等特性参数对吸附量的影响。结果表明,PCBs在土壤中的吸附行为符合Langmuir吸附等温方程;PCBs的吸附量与土壤中有机质含量和土壤粘粒含量呈正相关关系,与土壤pH值及土壤矿物质含量无明显相关关系。     

沉积物对菲和五氯酚的吸附性能

研究了菲和五氯酚（PCP）在五种沉积物的吸附解吸行为，菲和PCP在各沉积物上的吸附和解吸都是较快的过程。均能在8h内达到平衡，吸附和解吸结果表明，高有机质含量的沉积物对菲和PCP的吸附和持留能力都较强，菲和PCP在各沉积物中的吸附系数跟沉积物的有机质含量呈线性正相关。等温吸附结果表明，低有机质含量的三种沉积物比有机质含量较高的两种沉积物呈更好的线性关系。不同沉积物对菲和PCP的吸附性能差异跟沉积物的有机质含量密切相关。     

武当山土壤的粘粒矿物与表面电荷性质

本文研究了湖北省武当山风景区石英云母片岩发育的７个土样的粘土矿物组成、粘粒氧化物含量。土壤电荷量及电荷零点．结果表明：（１）供试土壤粘土矿物均以２∶１型矿物占优势，在海拔４４０ｍ以下的土壤中主要是水云母和蛭石，在海拔６７０ｍ以上的土壤中主要是１．４ｎｍ过渡矿物、绿泥石和水云母；（２）土液粘粘中氧化铁和氧化铝的含量、粘粒硅铝率及氧化铁的游离度随海拔的变化而变化的趋势不甚明显，但非晶形铝铁氧化物的含量及氧化铝和铁的活化度随海拔升高而趋于增加；（３）土壤可变负电荷量、阴离子吸附量和电荷零点随海拔升高而趋于增加。     

不同放牧梯度下草甸草原土壤微生物和酶活性研究

通过小区控制放牧实验,研究呼伦贝尔草甸草原不同放牧强度下草地土壤微生物和酶活性的变化。结果表明：不同处理土壤微生物数量表现为细菌〉放线菌〉真菌。不同土层土壤微生物总数不放牧处理大于放牧处理,0～30 cm土层土壤微生物生物量碳、氮含量在轻牧区较高,在中牧区较低。土壤脲酶和过氧化氢酶活性轻度放牧和中度放牧高于不放牧和重度放牧。土壤微生物数量、生物量、土壤蛋白酶和过氧化氢酶活性均随土壤深度的增加呈递减趋势。相关分析表明,土壤微生物数量、微生物生物量以及土壤酶活性相互之间密切相关,土壤微生物量N与细菌达到极显著正相关（P〈0.01）,与真菌和放线菌呈显著相关（P〈0.05）。土壤微生物量C与真菌达到极显著负相关（P〈0.01）,与放线菌呈显著负相关（P〈0.05）。土壤微生物数量、土壤微生物量N与转化酶、蛋白酶、过氧化氢酶活性呈显著或极显著正相关。土壤微生物量C与转化酶、蛋白酶、过氧化氢酶呈显著负相关（P〈0.05）。     

酸化对茶园黄棕壤CEC和粘土矿物组成的影响

用采自江苏溧阳种茶13 a和34 a的茶园黄棕壤表土和种茶54 a的茶园土壤剖面研究了酸化对土壤黏土矿物组成和阳离子交换量（CEC）的影响。结果表明：种茶13 a和34 a,表层土壤发生明显酸化,但土壤2∶1型黏土矿物的质量分数和CEC均与荒地土壤相似,说明酸化没有对黏土矿物转化和CEC产生明显影响。但种茶54 a后土壤发生进一步酸化,表层和表下层土壤pH降至3.79和3.70。土壤2∶1型黏土矿物质量分数随采用深度的增加而增加,高岭石质量分数呈相反的变化趋势。说明表层和表下层土壤的严重酸化加速土壤2∶1型黏土矿物向1∶1型高岭石的转化,这导致表层和表下层土壤CEC显著减小。     

几种耕作土壤钾交换特性的研究

本文研究了三组不同粘土矿物组成的耕作土壤钾素的交换特性,结果表明,供试土壤的钾交换选择性系数(K_c)与交换性钾比率(EPR)呈极显著的负相关,相关系数变化于-0.86至-0.95之间,且K_c因EPR的增加而趋于恒值。以伊利石、蛭石占优势的第一组土壤和以伊利石为主、高岭石为次的第二组土壤的K_c趋于恒值时的EPR明显高于以高岭石为主、伊利石为次的第三组土壤。三组土壤的钾吸附比率(PAR)与EPR均呈极显著的正相关,相关系数变化于0.94至0.98之间。土壤钾交换选择性的强弱因粘土矿物组成、粘粒含量和初始交换性钾饱和度的不同而表现出如下趋势:第一组土壤>第二组土壤>第三组土壤。     

三江源区玉树县和玛多县土壤汞含量分布特征

2012年7至9月在长江、黄河和澜沧江的源头——三江源地区的玉树县和玛多县采集175个表层土壤样品,分析了2地土壤化学性质和汞含量,研究土壤pH值和土壤有机质(TOC)含量与汞含量之间的关系,并探讨三江源区土壤汞含量分布特征。结果表明,研究区域土壤pH均呈弱碱性,且TOC含量丰富;与玉树县相比,玛多县土壤碱性更强,但TOC含量偏低。研究区域土壤汞含量算术平均值为0.034 mg·kg-1,低于国家土壤平均背景值,但若与1990年青海全省平均土壤汞含量的背景值相比,研究区域土壤汞含量明显偏高。灰褐土汞含量明显高于其他4种土壤类型,但其他4种类型土壤汞含量平均值几乎无差异。空间分布特征显示,玉树县表层土壤汞含量高于玛多县,这与两县的城镇发展成熟度和产业结构不同有关;土壤汞含量较高的区域主要集中在人口密集的城镇或交通枢纽旁。三江源区土壤汞含量与pH值之间存在相关性,与TOC含量之间呈显著正相关(r=0.605,n=90,P0.05);与玉树县相比,土壤pH值较高、TOC含量较低的玛多县汞含量偏低,具体原因尚需进一步深入研究,以持续观测该地区土壤环境质量的变化。     

南方酸性森林土壤中铝活化过程参数化模型的建立与验证

基于模拟实验和原位观测,建立了适合我国南方酸性土壤的铝活化参数化模型.模拟实验发现,尽管Al3＋的活度随着浸提液pH值（pHw）的下降而显著增加（pAl=1.20pHw-0.30）,但同时受到土壤pH值（pHs）的显著影响（p〈0.01）.为反映土壤酸化程度（pHs）对铝活化过程的影响,假设三水铝石的pKsp随土壤pH...     

不同林分类型土壤对铜的吸附及其影响因素

测定了浙江安吉6种林分类型(茶园、毛竹林、湿地松林、灌木林、落叶栎林、常绿苦槠-青冈混交林)、4个层次(0—10、10—20、20—40、40—60 cm)土壤对Cu2 的吸附量,并探求土壤有机质含量、CEC、pH值及颗粒组成与Cu2 吸附量之间的关系。结果表明,落叶栎林对Cu2 的吸附量最大,灌木林次之,茶林与常绿苦槠-青冈混交林居中,毛竹林与湿地松林吸附量最小;不同层次土壤对Cu2 的吸附量随土层深度增加而减少。土壤有机质含量和CEC是影响供试土壤Cu2 吸附量的主要因素。建立了土壤有机质含量和CEC与土壤Cu2 吸附量的关系模型。     

帽峰山森林土壤碳氮随雨季月及土壤深度的时空变化特征

采用森林生态系统定位观测及对比试验方法,对广州帽峰山常绿阔叶林和杉木人工林（16年）土壤（0~90 cm）有机碳、无机碳、总氮及有机氮的雨季月（5—10月）含量动态、垂直梯度变化特征及土壤湿度影响进行了对比观测研究。结果表明：常绿阔叶林及杉木林土壤有机碳、无机碳雨季月的剖面权均含量变化趋势均为倒S型,常绿阔叶林土壤有机碳剖面权均质量分数较相应杉木林大0.14%、土壤无机碳则小0.12%。常绿阔叶林土壤表层0~10、10~30 cm有机碳雨季月含量变差较杉木林分别高出1.83%、0.61%,土壤30~90 cm雨季月含量变差相对较小;常绿阔叶林土壤70~90 cm无机碳含量在5—8月份较高、杉木林则以土壤30~50 cm在5、6及10月含量较高;常绿阔叶林群落土壤0~20 cm的总氮雨季月含量均大于相应杉木林,植被吸收作用影响使土壤20 cm以下层的雨季各月总氮相对较低;常绿阔叶林土壤剖面雨季月无机氮含量随土层深度递减变化显著,即表层0~30 cm受矿化作用影响较大、深层30~90 cm则受植被吸收作用影响较大;而杉木林土壤剖面层无机氮含量则随雨季的月变化显著,5—7月份含量相对较小、8—10月份含量相对较大。常绿阔叶林土壤有机碳、总氮含量随土壤深度的增加均呈幂函数规律的递减,而杉木人工林土壤有机碳随土壤深度的增加呈对数函数规律的递减、土壤总氮含量则随土壤深度的增加呈二次函数规律的递减。在0~10 cm处,土壤有机碳和有机氮含量与土壤湿度呈负相关。     

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).