食物链途径人体健康风险评估的关键内容探讨

食物是人类生存的重要保障,食品安全事关人类生命健康.食品污染始于农田耕地,还包括生产制造、包装、贮存、运输、加工等环节,每个步骤处理不当都可能发生食品安全问题.农田为食物来源的基石,是空气、水体中污染物的汇,随着城市的扩张,人类经济活动导致农田污染加剧.人类从食物中摄取污染物与经口、呼吸、皮肤的途径一样,是人体健康风险评估不可缺少的考量因素之一.我国对食品安全非常重视,2010年1月原卫生部根据《食品安全法》建立《食品安全风险监测管理规定》和《食品安全风险评估管理规定》(试行),这两份文件涵盖了从土壤到餐桌一系列的风险过程.但由于每个过程产生的原因、污染物影响机制均不同,规定离具体实际应用目标还很远.2014年环保部以保护生态环境,保障人体健康为根本,为加强污染场地环境保护监督管理,规范污染场地人体健康风险评估,发布了《污染场地风险评估技术导则》,该文建立了土壤污染造成人体健康风险评价的操作方法.然而导则考虑了经口、皮肤、呼吸及饮用地下水等9种暴露途径和评估模型,唯独缺少经食物链暴露这一重要途径的相关内容.本文以英、美两国食物链途径的场地污染风险评估为依据开展了详细探讨,深入分析了评估程序中关于土地利用方式的分类、目标人群暴露特征、污染物在食物链中传输路径、模型选取及暴露参数等内容,以期为我国制定《食物链暴露途径风险评估导则》提供一定的参考依据和指导方法.     

进出口工业化学品风险管理与风险评估进展

我国是世界化学品生产和贸易的大国。大量化学品的生产和进出口贸易给我国化学品风险管理和风险评估带来了巨大挑战。在借鉴发达国家和经济组织对化学品风险管理经验和评估技术的基础上,我国在近年来也逐步开展了化学品的管理和控制,以应对当前日益突出的化学品环境安全和健康安全事故。本文从我国化学品管理与国外化学品风险管理之间的对比出发,在梳理化学品管理政策发展的过程中,重点就我国环境保护部门对有毒和进口化学品、新化学物质和废弃危险化学品以及质检部门对进出口工业化学品的管理和控制措施,以及化学品的评估技术进行了综述。通过与发达国家就化学品风险管理与评估技术的对比,指出我国目前化学品管理和评估的不足与欠缺,并提出一些可行的应对措施与办法,为完善我国化学品风险管理和评估提供一定的参考。     

龙山县生态公益林建设与管理现状及对策

简述了龙山县生态公益林建设与管理的现状,剖析了新时期发挥生态公益林的生态、社会效益与提高林农收入矛盾,分析了龙山县生态公益林建设与管理中存在的问题,提出了龙山县实现生态公益林生态、社会效益与提高林农收入的措施.参4.     

建设用地扩张与碳排放效应的库兹涅茨曲线假说及验证

论文基于无锡市1996—2008年的土地利用和能源消耗数据,分析了无锡市13 a间建设用地扩张及碳排放特征,并构建了建设用地比例与碳排放强度之间的库兹涅茨曲线模型,对无锡市建设用地扩张与碳排放效应之间的相关关系进行了实证研究,尝试验证库兹涅茨曲线在建设用地扩张与碳排放强度之间的存在性。结果表明:①建设用地总量在1996—2008年间迅速增长,绝对增长量44 032.97 hm²,且除了农村居民点逐渐下降以外,其余地类均呈逐年增长态势,无锡市1996—2008年间的碳排放基本上也呈现逐年增长趋势,绝对增长量1 936.38×10⁴ t;②建设用地总量与碳排放强度之间呈倒U型曲线关系,即随着建设用地扩张至拐点后,碳排放强度则逐渐下降,且拐点位于建设用地比例1.91%附近,但是目前仅仅刚开始出现拐点的迹象,表明目前无锡市建设用地扩张还未完全达到集约及精明增长的标准,建设用地扩张对碳排放而言仍然具有较强的推动作用,但是可以预见,随着产业结构调整和能源技术的提高,碳排放强度会逐渐进入下降的阶段;③城市用地与碳排放强度之间为三次曲线关系,建制镇用地、农村居民点用地与碳排放强度之间分别为正相关和负相关线性关系,其他建设用地与碳排放强度之间则存在一种不明显的库兹涅茨曲线关系。建设用地地类组成的不同会导致不同形态的库兹涅茨曲线,由于城市用地和建制镇用地对碳排放具有明显的驱动作用,其比例的提高亦会促使库兹涅茨曲线更加陡峭,并延缓库兹涅茨曲线拐点的到来。     

Evaluation of ecological network analysis: Validation of output

Ecological network analysis (ENA) is a modeling approach increasingly being used to evaluate food webs and provide an ecosystem-based approach to resource management. Unfortunately, validation of ENA output is rarely performed. This study represents part of a larger effort to critically evaluate ENA. Here we validate ENA output using stable isotope analysis (SIA), and where validation is not met, determine the effects of modifying trophic networks to reflect validation.     

The Future of Scattered Trees in Agricultural Landscapes

Abstract: Mature trees scattered throughout agricultural landscapes are critical habitat for some biota and provide a range of ecosystem services. These trees are declining in intensively managed agricultural landscapes globally. We developed a simulation model to predict the rates at which these trees are declining, identified the key variables that can be manipulated to mitigate this decline, and compared alternative management proposals. We used the initial numbers of trees in the stand, the predicted ages of these trees, their rate of growth, the number of recruits established, the frequency of recruitment, and the rate of tree mortality to simulate the dynamics of scattered trees in agricultural landscapes. We applied this simulation model to case studies from Spain, United States, Australia, and Costa Rica. We predicted that mature trees would be lost from these landscapes in 90–180 years under current management. Existing management recommendations for these landscapes—which focus on increasing recruitment—would not reverse this trend. The loss of scattered mature trees was most sensitive to tree mortality, stand age, number of recruits, and frequency of recruitment. We predicted that perpetuating mature trees in agricultural landscapes at or above existing densities requires a strategy that keeps mortality among established trees below around 0.5% per year, recruits new trees at a rate that is higher than the number of existing trees, and recruits new trees at a frequency in years equivalent to around 15% of the maximum life expectancy of trees. Numbers of mature trees in landscapes represented by the case studies will decline before they increase, even if strategies of this type are implemented immediately. This decline will be greater if a management response is delayed.     

A Global Baseline for Spawning Aggregations of Reef Fishes

Abstract: Species that periodically and predictably congregate on land or in the sea can be extremely vulnerable to overexploitation. Many coral reef fishes form spawning aggregations that are increasingly the target of fishing. Although serious declines are well known for a few species, the extent of this behavior among fishes and the impacts of aggregation fishing are not appreciated widely. To profile aggregating species globally, establish a baseline for future work, and strengthen the case for protection, we (as members of the Society for the Conservation of Reef Fish Aggregations) developed a global database on the occurrence, history, and management of spawning aggregations. We complemented the database with information from interviews with over 300 fishers in Asia and the western Pacific. Sixty‐seven species, mainly commercial, in 9 families aggregate to spawn in the 29 countries or territories considered in the database. Ninety percent of aggregation records were from reef pass channels, promontories, and outer reef‐slope drop‐offs. Multispecies aggregation sites were common, and spawning seasons of most species typically lasted <3 months. The best‐documented species in the database, the Nassau grouper (Epinephelus striatus), has undergone substantial declines in aggregations throughout its range and is now considered threatened. Our findings have important conservation and management implications for aggregating species given that exploitation pressures on them are increasing, there is little effective management, and 79% of those aggregations sufficiently well documented were reported to be in decline. Nonetheless, a few success stories demonstrate the benefits of aggregation management. A major shift in perspective on spawning aggregations of reef fish, from being seen as opportunities for exploitation to acknowledging them as important life‐history phenomena in need of management, is urgently needed.     

Bridging the gap between ecophysiological and genetic knowledge to assess the adaptive potential of European beech

In this study we aimed to combine knowledge of the ecophysiology and genetics of European beech to assess the potential of this species to adapt to environmental change. Therefore, we performed field and experimental studies on the genetic and ecophysiological functioning of beech. This information was integrated through a coupled genetic–ecophysiological model for individual trees that was parameterized with information derived from our own studies or from the literature. Using the model, we evaluated the adaptive response of beech stands in two ways: firstly, through sensitivity analyses (of initial genetic diversity, pollen dispersal distance, heritability of selected phenotypic traits, and forest management, representing disturbances) and secondly, through the evaluation of the responses of phenotypic traits and their genetic diversity to four management regimes applied to 10 study plots distributed over Western Europe. The model results indicate that the interval between recruitment events strongly affects the rate of adaptive response, because selection is most severe during the early stages of forest development. Forest management regimes largely determine recruitment intervals and thereby the potential for adaptive responses. Forest management regimes also determine the number of mother trees that contribute to the next generation and thereby the genetic variation that is maintained. Consequently, undisturbed forests maintain the largest amount of genetic variation, as recruitment intervals approach the longevity of trees and many mother trees contribute to the next generation. However, undisturbed forests have the slowest adaptive response, for the same reasons.Gene flow through pollen dispersal may compensate for the loss in genetic diversity brought about by selection. The sensitivity analysis showed that the total genetic diversity of a 2 ha stand is not affected by gene flow if the pollen distance distribution is varied from highly left-skewed to almost flat. However, a stand with a prevailing short-distance gene flow has a more pronounced spatial genetic structure than stands with equal short- and long-distance gene flows. The build-up of a spatial genetic structure is also strongly determined by the recruitment interval. Overall, the modelling results indicate that European beech has high adaptive potential to environmental change if recruitment intervals are short and many mother trees contribute to the next generation.The findings have two implications for modelling studies on the impacts of climate change on forests. Firstly: it cannot be taken for granted that parameter values remain constant over a time horizon of even a few generations – this is particularly important for threshold values subject to strong selection, like budburst, frost hardiness, drought tolerance, as used in species area models. Secondly: forest management should be taken into account in future assessments, as management affects the rate of adaptive response and thereby the response on trees and forests to environmental change, and because few forests are unmanaged. We conclude that a coupled ecophysiological and quantitative genetic tree model is a useful tool for such studies.     

Modeling carbon sequestration under zero tillage at the regional scale. I. The effect of soil erosion

Zero tillage is recognized as a potential measure to sequester carbon dioxide in soils and to reduce CO₂ emissions from arable lands. An up-scaling approach of the output of the Environmental Policy Integrated Climate (EPIC) model with the information system SLISYS-BW has been used to estimate the CO₂-mitigation potential in the state of Baden-Württemberg (SW-Germany). The state territory of 35,742 km² is subdivided into eight agro-ecological zones (AEZ), which have been further subdivided into a total of 3976 spatial response units. Annual CO₂-mitigation rates where estimated from the changes in soil organic carbon content comparing 30 years simulations under conventional and zero tillage. Special attention was given to the influence of tillage practices on the losses of organic carbon through soil erosion, and consequently on the calculation of CO₂-mitigation rates. Under conventional tillage, mean carbon losses through erosion in the AEZ were estimated to be up to 0.45 Mg C ha⁻¹ a⁻¹. The apparent CO₂-mitigation rate for the conversion from conventional to zero tillage ranges from 0.08 to 1.82 Mg C ha⁻¹ a⁻¹ in the eight AEZ, if the carbon losses through soil erosion are included in the calculations. However, the higher carbon losses under conventional tillage compared to zero tillage are composed of both, losses through enhanced CO₂ emissions, and losses through intensified soil erosion. The adjusted net CO₂-mitigation rates of zero tillage, subtracting the reduced carbon losses through soil erosion, are between 0.07 and 1.27 Mg C ha⁻¹ a⁻¹ and the estimated net mitigation rate for the entire state amounts to 285 Gg C a⁻¹. This equals to 1045 Gg CO₂-equivalents per year with the cropping patterns in the reference year 2000. The results call attention to the necessity to revise those estimation methods for CO₂-mitigation which are exclusively or predominantly based on the measurements of differential changes in total soil organic carbon without taking into account the tillage effects on carbon losses through soil erosion.     

Eco-hydrological modelling in a highly regulated lowland catchment to find measures for improving water quality

Water quality modelling in the meso-scale Rhin catchment in the German federal state Brandenburg was done (1) to answer some specific questions concerning identification of point and diffuse sources of nutrient pollution in the catchment, (2) to assess the influences of possible climate and land use changes on water quantity and quality and (3) to evaluate potential measures to be done in order to achieve a “good ecological status” of the river and its lakes as required by the Water Framework Directive (WFD).The Rhin catchment is a typical highly regulated lowland river basin in Northern Germany. The regulations complicate water quantity and quality modelling in the catchment. The research was done by using the eco-hydrological model SWIM (Soil and Water Integrated Model), which simulates water and nutrient fluxes in soil and vegetation, as well as transport of water and nutrients to and within the river network. The modelling period was from 1981 until 2005. After calibrating the hydrological processes at different gauges within the basin with satisfactory results, water quality (nitrogen and phosphorus) modelling was done taking into account the emissions of different point sources (sewage treatment plants, etc.) and identifying the amount of diffuse pollution caused mainly by agriculture.For suggesting some feasible measures to improve water quality and to reduce diffuse pollution considering possible climate and land use changes, different reasonable scenarios were applied in consultation with the Environmental Agency of Brandenburg (LUA). The study revealed that the amount of water discharge has significant influence on the concentration of nutrients in the river network, and that nitrogen pollution, caused mainly by diffuse sources, could be notably reduced by application of agricultural measures, whereas the pollution by phosphorus could be diminished most effectively by the reduction of point source emissions.