珠江广州河段着生藻类的群落结构及其与水质的关系

于2007年6月、7月和9月,采用玻璃挂片法对珠江广州河段9个断面处着生藻类的分布状况进行了调查,同时测定了叶绿素a、总氮、总磷、溶解氧、pH等环境因子.本调查共观察到着生藻类35种,主要以丝状绿藻占据优势,其中毛枝藻是绝对优势种,其最高数量百分比达97.4%;而附着在绿藻藻体的一些硅藻,如异极藻、脆杆藻也是常见优势物种.着生藻类数量丰富,为3.16×104-3.06×106cells·cm-2;种类多样性较低,Shannon-Weaver种类多样性指数为0.15～2.68.从总氮和总磷含量来看,珠江广州河段水质为Ⅲ类至Ⅴ类之间.调查期间,2007年7月12日举行了"广州市万人游珠江活动",由于活动期间采取的一些截污治理措施,6月、7月水质特别是广州市区河段水质有所好转;但活动过后,营养盐特别是总磷浓度迅速上升,叶绿素a含量和着生藻类数量急剧增加.研究结果说明,珠江广州河段水质能够得以改善,但需要采取持续而有效的措施防止水质的进一步恶化,才能保证珠江水资源的可持续发展.     

用隶属度法分析柳杨河水体污染状况

隶属度法和试行评价法对柳杨河两个断面及整个河段进行了分析和评价,结果表明,隶属度法不但可以确定某项污染物是污染等级,还能计算出超标倍数,对试行分析法进行了补充和订正,使得分析结果更加准确。同时分析了断面和水体污染原因,为环境管理提供技术支持和依据。     

湖泊水质参数空间最优估计精度分析

在湖泊研究中,往往要了解污染的空间分布状况,其核心是空间最优估计问题.本文在阐述了克立格方差特点的基础上,以太湖为例,对湖泊水质参数空间最优估计的精度问题进行了分析.结果显示,估计精度受变差函数、各采样点的空间配置关系等因素的影响.空间结构直接决定着估计精度的大小,而与各信息采样点的值的大小无关.     

一般工业固废填埋场建设项目环境监理探析

介绍了一般工业固废填埋场工程的特点和环境监理的现状;结合填埋场项目环境监理工作的实践,分析并总结了填埋场建设项目环境监理要点,即制订切实的监理方案,对工程的关键部位、关键工序做好巡视、旁站监理工作,在实施过程中做好水土保持、生态保护的监理工作。     

累积影响研究及其意义

在综述累积研究现状的基础上,概述了累积影响的概念与分类方法,累积影响评价的主要途径,论述了累积影响研究的前景与意义。     

泗河水环境容量及最大允许排污量计算

规范了水环境容量的定义和分类,建立了符合泗河水文、水资源特征和水环境状况的河流水环境容量模型,与GIS技术结合构建了适合北方地区的河流水环境容量计算程序和方法;摸清了水功能区-入河排污口-点源排放口的一一对应关系,提出了将水域环境容量转换为陆域点源最大允许排污量的估算方法。计算了泗河在满足水功能区划条件下的水环境容量及最大允许排污量,从而为制定该河流水污染物容量总量控制方案提供了科学依据。     

生态渔业养殖模式下汤逊湖鱼产力估算及对内源污染的影响

通过汤逊湖天然饵料生物量的调查,评估在不投肥、不投饵条件下汤逊湖的鱼产力情况;根据主要鱼产力生长代谢参数评估生态渔业养殖模式下由鱼的排泄和排粪作用产生的污染负荷量及由生长增重存储在鱼体内的营养盐量。结果表明:汤逊湖天然鱼产力约为2 975.49 t/a,生态渔业养殖模式下养殖密度可控制在29 g/m³左右;排泄和排粪产生的营养盐氮、磷量分别为309.28、13.06 t/a,其中氮量高于鱼类生长增重存储的营养盐量(73.10 t/a),磷量低于鱼类生长增重存储的营养盐量(15.90 t/a)。生态渔业养殖产生一定量的内源污染物氮,但能削减水体中内源污染物磷,可作为控制湖泊富营养化的措施之一。     

Empirical Trials of Plant Field Guides

We designed 3 image‐based field guides to tropical forest plant species in Ghana, Grenada, and Cameroon and tested them with 1095 local residents and 20 botanists in the United Kingdom. We compared users’ identification accuracy with different image formats, including drawings, specimen photos, living plant photos, and paintings. We compared users’ accuracy with the guides to their accuracy with only their prior knowledge of the flora. We asked respondents to score each format for usability, beauty, and how much they would pay for it. Prior knowledge of plant names was generally low (<22%). With a few exceptions, identification accuracy did not differ significantly among image formats. In Cameroon, users identifying sterile Cola species achieved 46–56% accuracy across formats; identification was most accurate with living plant photos. Botanists in the United Kingdom accurately identified 82–93% of the same Cameroonian species; identification was most accurate with specimens. In Grenada, users accurately identified 74–82% of plants; drawings yielded significantly less accurate identifications than paintings and photos of living plants. In Ghana, users accurately identified 85% of plants. Digital color photos of living plants ranked high for beauty, usability, and what users would pay. Black and white drawings ranked low. Our results show the potential and limitations of the use of field guides and nonspecialists to identify plants, for example, in conservation applications. We recommend authors of plant field guides use the cheapest or easiest illustration format because image type had limited bearing on accuracy; match the type of illustration to the most likely use of the guide for slight improvements in accuracy; avoid black and white formats unless the audience is experienced at interpreting illustrations or keeping costs low is imperative; discourage false‐positive identifications, which were common; and encourage users to ask an expert or use a herbarium for groups that are difficult to identify. Pruebas Empíricas de Guías de Campo de Plantas Hawthorne, Cable & Marshall     

Using empirical models of species colonization under multiple threatening processes to identify complementary threat‐mitigation strategies

Approaches to prioritize conservation actions are gaining popularity. However, limited empirical evidence exists on which species might benefit most from threat mitigation and on what combination of threats, if mitigated simultaneously, would result in the best outcomes for biodiversity. We devised a way to prioritize threat mitigation at a regional scale with empirical evidence based on predicted changes to population dynamics—information that is lacking in most threat‐management prioritization frameworks that rely on expert elicitation. We used dynamic occupancy models to investigate the effects of multiple threats (tree cover, grazing, and presence of an hyperaggressive competitor, the Noisy Miner (Manorina melanocephala) on bird‐population dynamics in an endangered woodland community in southeastern Australia. The 3 threatening processes had different effects on different species. We used predicted patch‐colonization probabilities to estimate the benefit to each species of removing one or more threats. We then determined the complementary set of threat‐mitigation strategies that maximized colonization of all species while ensuring that redundant actions with little benefit were avoided. The single action that resulted in the highest colonization was increasing tree cover, which increased patch colonization by 5% and 11% on average across all species and for declining species, respectively. Combining Noisy Miner control with increasing tree cover increased species colonization by 10% and 19% on average for all species and for declining species respectively, and was a higher priority than changing grazing regimes. Guidance for prioritizing threat mitigation is critical in the face of cumulative threatening processes. By incorporating population dynamics in prioritization of threat management, our approach helps ensure funding is not wasted on ineffective management programs that target the wrong threats or species.     

Cost‐effectiveness of conservation payment schemes for species with different range sizes

Payments to compensate landowners for carrying out costly land‐use measures that benefit endangered biodiversity have become an important policy instrument. When designing such payments, it is important to take into account that spatially connected habitats are more valuable for many species than isolated ones. One way to incentivize provision of connected habitats is to offer landowners an agglomeration bonus, that is, a bonus on top of payments they are receiving to conserve land if the land is spatially connected. Researchers have compared the cost‐effectiveness of the agglomeration bonus with 2 alternatives: an all‐or‐nothing, agglomeration payment, where landowners receive a payment only if the conserved land parcels have a certain level of spatial connectivity, and a spatially homogeneous payment, where landowners receive a payment for conserved land parcels irrespective of their location. Their results show the agglomeration bonus is rarely the most cost‐effective option, and when it is, it is only slightly better than one of the alternatives. This suggests that the agglomeration bonus should not be given priority as a policy design option. However, this finding is based on consideration of only 1 species. We examined whether the same applied to 2 species, one for which the homogeneous payment is best and the other for which the agglomeration payment is most cost‐effective. We modified a published conceptual model so that we were able to assess the cost‐effectiveness of payment schemes for 2 species and applied it to a grassland bird and a grassland butterfly in Germany that require the same habitat but have different spatial‐connectivity needs. When conserving both species, the agglomeration bonus was more cost‐effective than the agglomeration and the homogeneous payment; thus, we showed that as a policy the agglomeration bonus is a useful conservation‐payment option.