甲霜灵在土壤—烟草系统中的残留与归宿

在田间生态箱中研究了＾１４Ｃ－甲霜灵在土壤－烟草系统中的迁移与归宿。实验结果表明，甲霜灵在实验土壤中的移动，主要受水分运动影响，在土体中甲霜灵甲醇提取残留的半衰期为２－３周，总残留的半衰期为５周，结合残留占总残留的百分比随时间的延长而延增，到第６周时可达到２３．１％。烟草可以通过根系吸收土壤中的甲霜灵，并表现出一定的富集作用，甲醇提取残留浓度从第２周开始下降，半衰期为１－２周，到第６周时为５．３５     

土壤中结合态苯氧羧酸类除草剂的测定

利用超临界ＣＯ２流体萃取的方法提取２甲４氯(ＭＣＰＡ),２,４－Ｄ和除草醚在三种土壤中的结合残留．结果表明,在培养２００ｄ的时间内,ＭＣＰＡ的结合残留量为１．０ｌ－５．１２ｍｇ·ｋｇ－１,占添加总量的２．０－１０．１%;２,４－Ｄ的结合残留量为０．２４－２．６５ｍｇ·ｋｇ－１,占添加总量的０．５－５．３%;除草醚的结合残留量为６．５３－１９．３０ｍｇ·ｋｇ－１,占添加总邑的１２．９—３８．２%．农药结合态与游离态含量的比值随时间的延长而增加．     

单甲脒在土壤中的降解及持久性研究

本文对四种不同类型土壤中单甲脒及其盐酸盐在厌氧与好氧条件下的降解动态及其残留进行了研究。结果表明单甲脒及其盐酸盐均属不稳定的化合物，单甲脒在土壤中的半衰期为４．６－９．１ｄ，其盐酸盐的半衰期为２．０－６．２ｄ。结果还表明单甲脒盐酸盐在厌氧条件下较在好氧条件下降解缓慢；在厌氧条件时，土壤的ｐＨ值对其降解影响较大。在相同条件下，单甲脒比它的盐酸盐酸盐降解慢，其降解速率与土壤ｐＨ值无关。     

溴氟菊酯的光解、水解与土壤降解

在实验室测定了溴氟菊酯的光解、不同ｐＨ条件下的水解以及在太湖水稻土、江西红壤与东北黑土等３种不同土壤中的降解。试验结果表明：在３００Ｗ低压汞灯下，溴氟菊酯的水相溶液与其石油醚相济液中的光解均呈二级反应动力学方程，光解半衰期分别为１３．７与９．４ｍｉｎ；在ｐＨ为５，７，９的缓冲溶液中其水解半衰期分别为１５．６，８．３与４．２ｄ；在３种不同土壤中的降解半衰期为４．８～８．８ｄ。     

吡虫啉的光解水解和土壤降

在实验室测定了吡虫啉的光解、不同ｐＨ条件下的水解与在东北黑土等３种不同土壤中的降解。试验结果表明，在３００Ｗ低压汞灯下，吡虫啉水相溶液的光解呈一级反应动力学反应，光解半衰期为６．８１ｈ；在ｐＨ５、ｐＨ７、ｐＨ９的缓冲溶液中的水解半衰期分别为３０．６、１３．６与８．０ｄ；在东北黑土、太湖水稻土和江西红壤中的降解半衰期分别为１０．７、１１．１和４．１ｄ。     

蔬菜和水果中残留硫双威的气相色谱分析

本文提出了一种快速、高效提取净化蔬菜、水果中残留硫双威的前处理方法和用火焰光度检测的气相色谱法。该法的最低检出浓度为０．０４ｍｇ·ｋｇ＾－１，在蔬菜，水果中的平均加标回收率分别为９３．０－１０６．７％和９４．５－１０４．２％，变异系数分别为２．５７－６．０５％和２．７４－５．８３％。     

异丙隆在土壤和小麦中的降解与残留

在扬州和聊城两地进行了除草剂异丙隆在小麦上和麦田土壤中的残留动态和最终残留量试验，结果表明，异丙隆在小麦植株和土壤中消解较快，消解半衰期分别为３～４ｄ和８～１４ｄ；收获时小麦籽粒中异丙隆残留量小于０．０４ｍｇ／ｋｇ。推荐暂定异丙隆在小麦上ＭＲＩＬ值为０．５ｍｇ／ｋｇ。２５％异丙隆可湿性粉剂，按７．５ｋｇ／ｈｍ￣２用量，在次年早春（２月）使用，籽粒中异丙隆最终残留量不会超过ＭＲＬ值，对小麦是安全的。     

溴氟菊酯的光解,水解与土壤降解

在实验室测定了溴氟菊酯的光解、不同ｐＨ条件下的水解以及在太湖水稻土、江西红壤与东北黑土等３种不同土壤中的降解。试验结果表明：在３００Ｗ低压汞灯下，溴氟菊酯的水相溶液与其石油醚相溶液中的光解均呈二级反应动力学方程，光解半衰期分别为１３．７与９．４ｍｉｎ；在ｐＨ为５，７，９的缓冲溶液中其水解半衰期分别为１５．６，８．３与４．２ｄ；在３种不同土壤中的降解半衰期为４．８￣８．８ｄ。     

绿磺隆在太湖水稻水中降解速率的研究

在实验室内,采用改进的玉米根长生物测定方法研究了土壤微生物,土壤温度和土壤含水量对绿磺隆在太湖水稻中降解速率的影响。结果表明：（１）在不同处理下,绿磺隆的降解均符合一级动力学反应;（２）绿磺隆在未灭菌土壤中的降解明显快于灭菌土壤;（３）在试验范围内,绿碘隆降解随土壤温度的升高和土壤含水量的增大加快,其半衰期在０．７￣５．８周之间变化。     

绿磺隆对水稻的残留危害剂量

用田间模拟试验法，研究了土壤中绿磺隆不同添加量与水稻危害剂量的关系。结果表明：稻田绿磺隆添加量超过０．３７５ｇ（ＡＩ）／ｈｍ￣２时，就可能对水用产生危害，在此用量水平下，绿磺隆在耕层土壤中的平均残留浓度为０．１７μｇ／ｋｇ，按此推算，麦田按正常用量的２倍量（３０ｇ／ｈｍ￣２）施用，在种麦期间绿磺隆在麦田土壤中的半衰期超过３２．１ｄ．即会对水稻产生危害。     

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).