长江口岛屿湿地的底栖动物资源研究

调查了长江口3个岛屿湿地的底栖动物资源及其生态特征和环境功能。经鉴定底栖无脊椎动物有41种,优势种为河蚬(Corbiculafluminea)、焦河蓝蛤(Potamocorbulaustulata)、缢蛏(Sinonovaculaconstricta)、麂眼螺(Rissoinasp.)、光滑狭口螺(Stenothyraglabra)、谭氏泥蟹(Ilyrplaxdeschampsi)、无齿相手蟹(Sesarmadenaani)和天津厚蟹(Helicetridenstientsinensis)。讨论了底栖动物资源的主要生态学特征及其环境功能,提出了对底栖动物资源合理利用与保护的建议。     

三峡库区主要水域典型抗生素分布及生态风险评估

为评价三峡库区主要水域典型抗生素的污染状况和生态风险,利用固相萃取-高效液相色谱-串联三重四极杆质谱联用法（SPE-HPLC-MS/MS）,分析三峡库区长江干流和6条支流表层水体中6类28种抗生素的质量浓度,根据欧盟环境风险评价方法计算RQ_S（风险商值）及RQ_sum（联合风险商值）,并按照Hernando等提出评级方法评价研究区域的生态风险等级.结果表明:三峡库区7条河流共检出4类10种抗生素,质量浓度范围为0.6~218.0 ng/L,其中除OFX（氧氟沙星）和CAP（氯霉素）外,其余8种[SDI（磺胺嘧啶）、SMX（磺胺甲唑）、SMZ（磺胺二甲嘧啶）、ERM（红霉素）、ROM（罗红霉素）、TYL（泰乐菌素）、FF（氟苯尼考）、LIN（林可霉素）]均为畜禽药品,并且FF、LIN在我国畜禽药品中使用量排名居前五位.7条河流抗生素RQ_sum由高到低依次为濑溪河>琼江>綦江>碧溪河>嘉陵江>长江>乌江,其中,濑溪河RQ_sum高达5.532,SMX、ERM和OFX均为高风险,说明其对濑溪河水体中相应的水生生物表现出较高的毒性风险;琼江、綦江、碧溪河和嘉陵江的RQ_sum均处于1~2之间,表现出较高生态风险,但4条河流检出抗生素的单个RQ_S均小于1,处于低风险;长江的RQ_sum为0.605,检出抗生素中TYL、ERM和ROM处于中风险,其余为低风险;乌江的RQ_sum为0.013,检出抗生素均处于低风险,说明水体受人类活动干扰最小.研究显示,三峡库区主要水域中抗生素含量略低于其他水域,但应进一步强化对畜禽养殖行业抗生素使用的监管,开展畜禽粪污还田技术规范中抗生素含量限制的相关研究.      

湖北“两圈”区域发展可持续性评价与预测

利用可持续发展指数（SDI）对湖北“两圈”各市州发展现状进行了评价,而后利用9年的人均生物资源生态承载量年平均增长率、人口年平均增长率和足迹承载量比值年平均增长率及2006年相关数据对未来44年进行了预测。结果表明,截至2006年底,湖北省有一半以上国土面积的生物资源开采超过当地土地负荷,人均生物资源生态承载量持续下降,资源日益紧张,呈不可持续发展;武汉城市圈2006年生物资源生态足迹超出生物资源生态承载量的32%;鄂西生态文化旅游圈（简称：鄂西生态圈）除襄樊、荆州、荆门因人口多,生物资源生态足迹较大等原因导致SDI值较高外,其他市州的SDI值均较低;神农架的SDI最小;武汉城市圈人均生物资源生态承载量呈负增长,人口控制较好,足迹承载量比值增长较快;鄂西生态圈人均生物资源生态承载量呈负增长,增长速率大于武汉城市圈和湖北省,人口控制较差,足迹承载量比值增长较慢;按照现有发展模式,无论是武汉城市圈还是鄂西生态圈,无论其当前发展是可持续性还是不可持续的,未来他们都将进入不可持续的发展状态。因此,对“两圈”进行规划时要根据各自发展现状制定长期、科学的发展规划.     

Methodological Basis of Ecological Safety Standards for the Technogenic Impact of Mineral Resource Exploitation

A new methodological approach to the development of biological and technological safety standards for the impact of underground mining on the natural biota is proposed.     

Water Management Decision Making in the Face of Multiple Forms of Uncertainty and Risk

In the Wasatch Range Metropolitan Area of Northern Utah, water management decision makers confront multiple forms of uncertainty and risk. Adapting to these uncertainties and risks is critical for maintaining the long‐term sustainability of the region's water supply. This study draws on interview data to assess the major challenges climatic and social changes pose to Utah's water future, as well as potential solutions. The study identifies the water management adaptation decision‐making space shaped by the interacting institutional, social, economic, political, and biophysical processes that enable and constrain sustainable water management. The study finds water managers and other water actors see challenges related to reallocating water, including equitable water transfers and stakeholder cooperation, addressing population growth, and locating additional water supplies, as more problematic than the challenges posed by climate change. Furthermore, there is significant disagreement between water actors over how to best adapt to both climatic and social changes. This study concludes with a discussion of the path dependencies that present challenges to adaptive water management decision making, as well as opportunities for the pursuit of a new water management paradigm based on soft‐path solutions. Such knowledge is useful for understanding the institutional and social adaptations needed for water management to successfully address future uncertainties and risks.     

Monitoring Australian Rangeland Sites Using Landscape Function Indicators and Ground- and Remote-Based Techniques

If the goal for managing rangelands is to achieve a balance between production and conservation, then monitoring is essential to detect change and apply corrective action. In some range-land areas of northern Australia, monitoring has detected a tilt in the production-conservation balance towards excessive production. How big is this imbalance? Can it shift back? Robust monitoring is needed to answer these questions. The aim is to know what to monitor, and where. For example, to detect changes caused by livestock on rangeland forage production and soil erosion, indicators linking grazing disturbances to landscape function are needed, that is, indicators that signal how well landscapes are capturing, concentrating, and utilizing scarce water, nutrient, and organic resources. Studies in Australia and the USA document that simple vegetation and soil patch attributes can be measured as indicators of the 'state of health' of landscape function. For example, field and remote sensing-based grazing studies in Australia document that landscapes with a high cover of perennial plant patches function effectively to capture runoff water and nutrients in sediments, whereas landscapes with a low cover of these patches do not — they are dysfunctional — as indicated by large patches of bare soil. Aerial videography is proving to be a robust technique for measuring indicators of landscape function such as small patches of vegetation and the extent of bare soil. These indicators typically have a sigmoidal response to grazing impacts. We illustrate that if these indicators are measured on monitoring sites established near the sigmoidal 'point of inflection’ then small changes in these indicators can be detected.     

省级生态保护红线划定实践研究 ——以青岛市为例

在省级及以上禁止开发区、重点生态功能保护区等进行调查分析的基础上,以青岛市为实践区域,与多类规划衔接,划定青岛市省级生态保护红线.青岛市最终划定59处省级生态保护红线区,面积合计1120.65 km2,占国土面积的9.9%.划定的生态保护红线符合确立"三生"空间和落实"多规合一"的要求,有利于改善生态系统服务功能,保障人居环境安全,增强经济社会可持续发展能力,对于青岛市市级生态保护红线的划定和生态安全格局的构建具有非常重要的意义.     

宝鸡市植被叶子重金属分布规律及生态风险评价

以宝鸡市滨河路植被叶子为研究对象,对不同种类以及不同高度的植被叶子重金属含量和污染程度进行分析.结果表明,植物叶子中重金属含量随着植被高度呈递减的变化趋势;其中Cr、Mn和Pb含量在植被叶子中富集最多,Cr、Cu、Ni和Mn含量的最高值均出现在金叶女贞的植被叶子中; Pb富集最多的是大叶女贞,Cd富集最多的是塔松,As富集最多的是红叶李;运用单因子污染指数法和内梅罗综合指数法对植被叶子的污染程度进行评价,Hakanson潜在生态风险评价法评估了滨河路不同类型植被叶子中Cr、Cu、Ni、Mn、Pb、Cd和As等7种重金属的潜在生态危害,滨河路7种植被叶子综合污染指数属重度污染,具有极强的综合危害性; 7种重金属的平均潜在生态风险程度大小顺序为:Cd Ni Cr As Pb Cu Mn,RI值变化范围为19. 04～4 020. 29.     

农村生活污水处理设施优先控制区域识别与监管策略

选取嘉兴市秀洲区和海宁市为研究对象,以乡镇区划为研究单元,采用综合源强估算法和GIS软件,对处理设施的氨氮（NH₃-N）、总磷（TP）、化学需氧量（COD）排放强度进行定量估算和空间分析.结果表明,秀洲区处理设施的NH₃-N和COD排放强度高于海宁市,而TP排放强度与海宁市差不多.秀洲区内,洪合镇各污染物的排放强度均最高;海宁市内,盐官镇NH₃-N排放强度最高,许村镇TP和COD排放强度最高.采用因子分析法和加权指数法计算排污权重,再结合生态敏感性评价和环境功能区划,筛选出运维和监管优先控制区.秀洲区内,洪合镇、王江泾镇、油车港镇被划分为优先控制区,该优先控制区内处理设施数量占比27.87%,排污权重占比72.42%,通过重点监管17.66%的设施,可监管秀洲区59.98%的污染物排放.海宁市内,长安镇、许村镇、海洲街道、盐官镇、袁花镇被划分为优先控制区,该优先控制区内设施数量占比69.10%,排污权重占比71.23%,通过重点监管16.85%的设施,可监管海宁市43.54%的污染物排放.研究结果可为提高设施的运维监管效率提供技术支撑.     

草原生态环境监测数据建库方法初探

该文系统地介绍了草原生态环境监测数据库的一般方法，在建立图像，图形，多媒体及数据子库的前提下，同时提出了宏观遥感监测数据与地面定位监测数据的结合方式，可操作性较强。