国内外农药生态风险评价研究综述

从生态风险评价的准则、评价方法、风险评价模型及生态风险评价在农药登记管理中的重要作用等方面对比，阐述了美国、世界经济合作与发展组织(OECD)及我国农药生态风险评价的研究概况。指出了我国在农药生态风险评价方面存在的不足，并针对这些不足之处提出了对策建议。     

农药生态风险评价研究进展

介绍了美国和欧盟农药生态风险评价研究工作的最新进展,包括农药生态风险评价涉及的重要及最新概念、评价程序、不同地区多层次评价方法的比较,同时重点介绍了农药生态风险评价的关键技术--暴露评价及暴露场景的建立,最后提出了加强我国农药生态风险评价研究工作的具体建议.     

国内外农药生态风险评价暴露模拟外壳述评

在阐明农药生态风险评价暴露模拟外壳的概念和功能的基础上,介绍了美国PE〔PRZM（pesticide root zonemodel）-EXAMS（exposure analysis modeling system）〕系列外壳和EXPRESS（EXAMS-PRZM exposure simulation shell）系列外壳、欧盟SWASH（surface water scenarios help）外壳及中国PRAESS（pesticide risk assessment exposure simula-tion shell）外壳这几种已开发的农药生态风险评价暴露模拟外壳的开发目的、结构组成、输入参数、运行方式和输出结果等方面的内容,并比较分析了各暴露模拟外壳在包含模型、包含场景、模拟水体类型和主要输出结果方面的异同点,期望为我国农药生态风险评价,尤其是暴露评价研究提供有益借鉴。     

生态风险评价框架进展研究

生态风险评价是评价生态压力引起的不利生态效应的可能性的过程,可为环境风险管理提供理论及技术支持。生态风险评价框架是一套标准化的方法体系,规定了生态风险评价的总体工作内容、技术路线、关键方法步骤和各阶段产出成果,为生态风险评价的科学方法有效转化为生态环境管理策略提供途径。从20世纪90年代起,以美国为代表的一批发达国家逐步构建了生态风险评价技术框架,并颁布了一系列相关标准、导则和技术文件,直接支撑了上述国家生态环境保护相关的现行法律法规,影响了有关国家的生态环境管理与决策。而我国对于生态风险评价的具体实施还缺乏规范性的指导方法。该文以美国、英国和澳大利亚的4套与土壤环境污染关系密切的生态风险评价框架为例,介绍国际生态风险评价框架的内容,并结合我国在环境影响评价和农药安全评价领域的生态风险评价方法研究进展,对我国生态风险评价框架的研究发展方向进行分析。     

农药对陆生生物的生态毒性及风险评估

农药的使用会对非靶标生物造成影响,由此世界各国都采取了风险控制手段以预防农药造成的生态危害。本文综述了欧洲、美国和日本针对农药开展的陆生生态系统风险评估方法,包括陆生非靶标生物、风险评估模型、风险评估的基本方法及生态毒性的评价指标。同时分析了农药登记管理对陆生生生物的生态毒性及风险评估中存在的科学问题,且提出了方法学的发展方向。     

太湖水体中5种有机磷农药混合物生态风险评价

有机磷农药是一类广泛分布于我国水环境中的污染物,即使在水体中的污染水平处于规定“安全标准”之下,其联合暴露产生的风险仍有可能威胁水生生态安全。采用基于浓度加和模型与生物敏感度分布曲线的混合物风险商法,评价了太湖水体中敌敌畏、对硫磷、甲基对硫磷、马拉硫磷和乐果5种有机磷农药混合物产生的生态风险。结果表明：2003～2004年期间3个不同时期太湖水体中5种有机磷农药的混合物生态风险商(RQ_m )均大于1,有机磷农药混合物在2003～2004年期间对太湖水生生物构成了一定威胁。     

绍兴茶园小流域的3种农药生态风险评价

虫螨腈、联苯菊酯和溴氰菊酯是茶叶生产中较为常见的3种杀虫剂,但其对茶园小流域内生态环境影响的相关研究较少。为评价其生态风险,选取我国浙江绍兴茶园小流域内主要溪流及湖库采集水体样品,采用气相色谱-质谱法对样品中3种农药进行残留检测;基于美国生态毒理数据库(ECOTOX)收集了3种农药对我国常见水生生物的毒性数据,利用BITSSD软件平台构建了物种敏感度分布(species sensitivity distribution, SSD)曲线,结合研究区实测数据开展3种农药对绍兴茶园小流域的生态风险评价研究。结果表明：(1)无脊椎动物和节肢动物对3种农药的敏感度高于鱼类,营养级越高其敏感度越低;(2)根据SSD模拟结果,为保护该流域95%的物种,联苯菊酯和溴氰菊酯浓度需<0.001μg·L^(-1),虫螨腈为0.4μg·L(-1),虫螨腈为0.4μg·L^(-1);(3)农药喷施后,虫螨腈、溴氰菊酯和联苯菊酯在茶园溪流中的残留浓度最高分别影响22%、50%和66%的物种,联苯菊酯是生态风险的主要贡献者,但在喷施1个月后,茶园流域水溪及河湖水环境中的农药残留基本均未检出。这说明3种农药施用对茶园小流域物种的影响较小,所带来的生态风险尚在可控范围之内。     

中国科学院化学品环境风险评估中心博士后项目申请通知

<正>中国科学院化学品环境风险评估中心早于1994年就已在我国开展起化学品对本土生物的环境风险评价,于2003建立了符合我国农业农村部和生态环境部GLP管理规范的化学品安全评价试验平台,同时具备农药产品化学、农药残留与代谢、环境影响与归趋及哺乳动物毒理学GLP认证资质,为我国的农药风险评价做出了积极贡献。     

基于RICEWQ—EXAMS模型的东苕溪流域稻田用药的水生生态及健康风险评价

构建了东苕溪流域水稻地表水暴露场景,对国外已广泛应用的稻田-地表水暴露评价模型（RICEWQ—EX—AMS）进行二次开发,并应用构建的场景和开发的模型对东苕溪流域稻田常用农药品种进行水生生态风险评价和健康风险评价。结果表明,在所评价的10种东苕溪流域常用农药品种中,除草剂氟乐灵对藻具有急性高风险,杀虫剂硫丹对鱼既具有急性高风险,又具有慢性风险,阿维菌素对泾具有急性高风险,氟铃脲对涵既具有急性高风险,又具有慢性风险,其余品种对鱼、溢和藻的急慢性风险均较低。运用传统评价法和风险评价模型计算法得出了相一致的结论,即所评价的10个农药品种对人体健康均无风险,该评价结果与所评价农药的实际风险表现较吻合。认为所构建的场景、模型能较好地用于东苕溪流域稻田农药品种的风险评价。     

基于RICEWQ-EXAMS模型的东苕溪流域稻田用药的水生生态及健康风险评价

构建了东苕溪流域水稻地表水暴露场景,对国外已广泛应用的稻田-地表水暴露评价模型( RICEWQ-EX-AMS)进行二次开发,并应用构建的场景和开发的模型对东苕溪流域稻田常用农药品种进行水生生态风险评价和健康风险评价.结果表明,在所评价的10种东苕溪流域常用农药品种中,除草剂氟乐灵对藻具有急性高风险,杀虫剂硫丹对鱼既具有急性高风险,又具有慢性风险,阿维菌素对溞具有急性高风险,氟铃脲对溞既具有急性高风险,又具有慢性风险,其余品种对鱼、溞和藻的急慢性风险均较低.运用传统评价法和风险评价模型计算法得出了相一致的结论,即所评价的10个农药品种对人体健康均无风险,该评价结果与所评价农药的实际风险表现较吻合.认为所构建的场景、模型能较好地用于东苕溪流域稻田农药品种的风险评价.     

Towards the development of a multidisciplinary understanding of the effects of toxic chemical mixtures on health

Mixtures can be divided into simple (chemicals with comparable properties—health risk assessments on the chemicals) and complex, which can be further subdivided into defined (a reasonably distinct composition, created at a specific time and place despite dissimilar components—risk assessments on the common source) and coincidental (chemicals without similar properties or constant composition in time or space—risk assessments on the receptor). Interactions recognized are: independent action, dose addition (additivity), and potentiation (synergy and antagonism). Unpredicted outcomes need recognition. New approaches in higher education and multidisciplinary investigations are essential. The community of the Society for Environmental Geochemistry and Health should help clarify points such as when transformations in mixtures may become important enough to alter the classification and the risk assessment. The multidisciplinary community is also well placed to support the integration of nonchemical influences into mixture analysis and to contribute to the investigation of cumulative and multiple exposures.     

基于TOP-RICE模型嘧菌酯·噻呋酰胺4%展膜油剂稻田水溢出对水生生态系统风险评估研究

为评估嘧菌酯·噻呋酰胺4%展膜油剂在我国稻田水溢出对水生生态系统的风险,本研究依据中华人民共和国农业行业标准NY/T 2882.2—2016《农药登记环境风险评估指南第2部分:水生生态系统》,采用TOP-RICE暴露模型分别单独评估了嘧菌酯和噻呋酰胺2种有效成分稻田滴撒方式应用时水溢出对水生生态系统的风险。其中,TOP-RICE初级暴露模型中有我国连平和南昌2个水稻-地下水暴露场景,每个场景都对分蘖期和拔节期进行分别评估。分析结果显示,嘧菌酯·噻呋酰胺4%展膜油剂中的嘧菌酯按照申请的良好农业规范(GAP)使用,生物富集风险可接受,初级风险评估对无脊椎动物(急性)和无脊椎动物(慢性)风险不可接受,但经中宇宙研究后,在连平和南昌2个场景点,均为拔节期用药对无脊椎动物的风险可接受,但分蘖期用药对无脊椎动物的风险不可接受;嘧菌酯·噻呋酰胺4%展膜油剂中的噻呋酰胺按照申请的GAP使用,生物富集带来的风险可以接受,经初级风险评估风险均可接受。在忽略2种有效成分相互间作用时,初步认为嘧菌酯·噻呋酰胺4%展膜油剂在我国稻田拔节期按照GAP要求施用时水溢出对水生生态系统的风险可接受,但应避免在分蘖期用药,以免其中的有效成分嘧菌酯对水生无脊椎动物产生不良影响。     

环境中重金属和有机污染物的物种敏感性分布研究进展

物种敏感性分布法(SSD,Species Sensitivity Distribution)是一种相对于传统评价因子法具有更高置信度的统计学外推方法,在环境质量基准制定及生态风险评价中得到广泛应用。本文对近年来国内外重金属和有机污染物的物种敏感性分布研究成果进行了综述,阐述了在水体、土壤和沉积物等环境介质中应用SSD方法开展生态风险评价的研究现状,从SSD模型选择、毒性数据点筛选等方面对影响SSD模型不确定性的因素进行探讨,并对SSD方法在生态风险评价领域的应用进行了展望。     

Incorporating Climate and Ocean Change into Extinction Risk Assessments for 82 Coral Species

Many marine invertebrate species facing potential extinction have uncertain taxonomies and poorly known demographic and ecological traits. Uncertainties are compounded when potential extinction drivers are climate and ocean changes whose effects on even widespread and abundant species are only partially understood. The U.S. Endangered Species Act mandates conservation management decisions founded on the extinction risk to species based on the best available science at the time of consideration—requiring prompt action rather than awaiting better information. We developed an expert‐opinion threat‐based approach that entails a structured voting system to assess extinction risk from climate and ocean changes and other threats to 82 coral species for which population status and threat response information was limited. Such methods are urgently needed because constrained budgets and manpower will continue to hinder the availability of desired data for many potentially vulnerable marine species. Significant species‐specific information gaps and uncertainties precluded quantitative assessments of habitat loss or population declines and necessitated increased reliance on demographic characteristics and threat vulnerabilities at genus or family levels. Adapting some methods (e.g., a structured voting system) used during other assessments and developing some new approaches (e.g., integrated assessment of threats and demographic characteristics), we rated the importance of threats contributing to coral extinction risk and assessed those threats against population status and trend information to evaluate each species’ extinction risk over the 21st century. This qualitative assessment resulted in a ranking with an uncertainty range for each species according to their estimated likelihood of extinction. We offer guidance on approaches for future biological extinction risk assessments, especially in cases of data‐limited species likely to be affected by global‐scale threats. Incorporación del Cambio Climático y Oceánico en Estudios de Riesgo de Extinción para 82 Especies de Coral     

Leitfaden zur Beurteilung von Boden-Kontaminationen

This article investigates to which extent presently obtainable data can sufficiently evaluate soil contamination. Relevant data pertaining to this question are tabulated. Risk assessments are made for particular contaminations on the basis of the compiled data. The proposed procedure is a guideline for the practical evaluation of cases of soil contamination by organic pollutants. Analyses are made for soil compartments, including risk assessments for groundwater. Evaluations are directed at protection of resources and plant growth. The project aims at facilitating the recognition of research deficiencies and at suggesting appropriate measures.     

Effect of Land Cover and Ecosystem Mapping on Ecosystem‐Risk Assessment in the Little Karoo,South Africa

Extinction‐risk assessments aim to identify biological diversity features threatened with extinction. Although largely developed at the species level, these assessments have recently been applied at the ecosystem level. In South Africa, national legislation provides for the listing and protection of threatened ecosystems. We assessed how land‐cover mapping and the detail of ecosystem classification affected the results of risk assessments that were based on extent of habitat loss. We tested 3 ecosystem classifications and 4 land‐cover data sets of the Little Karoo region, South Africa. Degraded land (in particular, overgrazed areas) was successfully mapped in just one of the land‐cover data sets. From <3% to 25% of the Little Karoo was classified as threatened, depending on the land‐cover data set and ecosystem classification applied. The full suite of threatened ecosystems on a fine‐scale map was never completely represented within the spatial boundaries of a coarse‐scale map of threatened ecosystems. Our assessments highlight the importance of land‐degradation mapping for the listing of threatened ecosystems. On the basis of our results, we recommend that when budgets are constrained priority be given to generating more‐detailed land‐cover data sets rather than more‐detailed ecosystem classifications for the assessment of threatened ecosystems. El Efecto de la Cobertura Terrestre y el Mapeo de Ecosistemas en la Valoración de Riesgos en los Ecosistemas en Little Karoo, Sudáfrica     

Automated conservation assessment of the orchid family with deep learning

International Union for Conservation of Nature (IUCN) Red List assessments are essential for prioritizing conservation needs but are resource intensive and therefore available only for a fraction of global species richness. Automated conservation assessments based on digitally available geographic occurrence records can be a rapid alternative, but it is unclear how reliable these assessments are. We conducted automated conservation assessments for 13,910 species (47.3% of the known species in the family) of the diverse and globally distributed orchid family (Orchidaceae), for which most species (13,049) were previously unassessed by IUCN. We used a novel method based on a deep neural network (IUC-NN). We identified 4,342 orchid species (31.2% of the evaluated species) as possibly threatened with extinction (equivalent to IUCN categories critically endangered [CR], endangered [EN], or vulnerable [VU]) and Madagascar, East Africa, Southeast Asia, and several oceanic islands as priority areas for orchid conservation. Orchidaceae provided a model with which to test the sensitivity of automated assessment methods to problems with data availability, data quality, and geographic sampling bias. The IUC-NN identified possibly threatened species with an accuracy of 84.3%, with significantly lower geographic evaluation bias relative to the IUCN Red List and was robust even when data availability was low and there were geographic errors in the input data. Overall, our results demonstrate that automated assessments have an important role to play in identifying species at the greatest risk of extinction.     

A multi-level characterization method for the assessment of urban ecological risks

Urban ecological risk characterization is the final step in risk assessment and an important foundation upon which risk managers build risk aversion, risk control, and emergency handling strategies. In this study, we reviewed present risk characterization methods and proposed a multi-level characterization method for the assessment of urban ecological risks. The new characterization method consists of four elements: urban ecological risk sources, risk source probabilities, assessment endpoint indicators, and assessment endpoint indicator probabilities. Using this method, results of risk assessments can be organized into different levels of detail to meet different risk management goals.     

Impact of alternative metrics on estimates of extent of occurrence for extinction risk assessment

In International Union for Conservation of Nature (IUCN) Red List assessments, extent of occurrence (EOO) is a key measure of extinction risk. However, the way assessors estimate EOO from maps of species’ distributions is inconsistent among assessments of different species and among major taxonomic groups. Assessors often estimate EOO from the area of mapped distribution, but these maps often exclude areas that are not habitat in idiosyncratic ways and are not created at the same spatial resolutions. We assessed the impact on extinction risk categories of applying different methods (minimum convex polygon, alpha hull) for estimating EOO for 21,763 species of mammals, birds, and amphibians. Overall, the percentage of threatened species requiring down listing to a lower category of threat (taking into account other Red List criteria under which they qualified) spanned 11–13% for all species combined (14–15% for mammals, 7–8% for birds, and 12–15% for amphibians). These down listings resulted from larger estimates of EOO and depended on the EOO calculation method. Using birds as an example, we found that 14% of threatened and near threatened species could require down listing based on the minimum convex polygon (MCP) approach, an approach that is now recommended by IUCN. Other metrics (such as alpha hull) had marginally smaller impacts. Our results suggest that uniformly applying the MCP approach may lead to a one‐time down listing of hundreds of species but ultimately ensure consistency across assessments and realign the calculation of EOO with the theoretical basis on which the metric was founded.     

Extinction risk of the endemic vascular flora of Kauai,Hawaii, based on IUCN assessments

The International Union for Conservation of Nature's Red List of Threatened Species (IUCN Red List) is the world's most comprehensive information source on the global conservation status of species. Governmental agencies and conservation organizations increasingly rely on IUCN Red List assessments to develop conservation policies and priorities. Funding agencies use the assessments as evaluation criteria, and researchers use meta-analysis of red-list data to address fundamental and applied conservation science questions. However, the circa 143,000 IUCN assessments represent a fraction of the world's biodiversity and are biased in regional and organismal coverage. These biases may affect conservation priorities, funding, and uses of these data to understand global patterns. Isolated oceanic islands are characterized by high endemicity, but the unique biodiversity of many islands is experiencing high extinction rates. The archipelago of Hawaii has one of the highest levels of endemism of any floristic region; 90% of its 1367 native vascular plant taxa are classified as endemic. We used the IUCN's assessment of the complete single-island endemic (SIE) vascular plant flora of Kauai, Hawaii, to assess the proportion and drivers of decline of threatened plants in an oceanic island setting. We compared the IUCN assessments with federal, state, and other local assessments of Kauai species or taxa of conservation concern. Finally, we conducted a preliminary assessment for all 1044 native vascular plants of Hawaii based on IUCN criterion B by estimating area of occupancy, extent of occurrence, and number of locations to determine whether the pattern found for the SIE vascular flora of Kauai is comparable to the native vascular flora of the Hawaiian Islands. We compared our results with patterns observed for assessments of other floras. According to IUCN, 256 SIE vascular plant taxa are threatened with extinction and 5% are already extinct. This is the highest extinction risk reported for any flora to date. The preliminary assessment of the native vascular flora of Hawaii showed that 72% (753 taxa) is threatened. The flora of Hawaii may be one of the world's most threatened; thus, increased and novel conservation measures in the state and on other remote oceanic islands are urgently needed.