Assessing the effects of disease and bleaching on Florida Keys corals by fitting population models to data

Coral diseases have increased in frequency over the past few decades and have important influences on the structure and composition of coral reef communities. However, there is limited information on the etiologies of many coral diseases, and pathways through which coral diseases are acquired and transmitted are still in question. Furthermore, it is difficult to assess the impacts of disease on coral populations because outbreaks often co-occur with temperature-induced bleaching and anthropogenic stressors. We developed spatially explicit population models of coral disease and bleaching dynamics to quantify the impact of six common diseases on Florida Keys corals, including aspergillosis, dark spots, white band, white plague, white patch, and Caribbean yellow band. Models were fit to an 8-year data set of coral abundance, disease prevalence, and bleaching prevalence. Model selection was used to assess alternative pathways for disease transmission, and the influence of environmental stressors, including sea temperature and human population density, on disease prevalence and coral mortality. Classic disease transmission from contagious to susceptible colonies provided the best-fit model only for aspergillosis. For other diseases, external disease forcing, such as through a vector or directly from pathogens in the environment, provided the best fit to observed data. Estimates of disease reproductive ratio values (R₀) were less than one for each disease, indicating coral colonies were below densities required for diseases to become established through contagious spread alone. Incidences of white band and white patch disease were associated with greater susceptibility or slower recovery of bleached colonies, and no disease outbreaks were associated with periods of elevated sea temperatures alone. Projections of best-fit models indicated that, atleast during the period of this study, disease and bleaching did not have substantial impacts on populations and impaired rates of population growth appeared to be attributable to other stressors. By applying epidemiological models to field data, our study gives qualitative insights into the dynamics of coral diseases, relative stressor impacts, and directions for future research.     

Modeling an exploited rocky coastal ecosystem: Bahia Tortugas, Mexico

A trophic structure model of the rocky coastal ecosystem in Bahia Tortugas, Mexico was constructed using Ecopath software to represent the main biomass flows in the system. Data for the model came from field observations (biomass estimates, stomach contents, and ecological observations for sea snails, abalones, lobster, some demersal finfishes, and macroalgae) carried out through ten field trips from 2006 to 2008. The results provide a snapshot of how the ecosystem operates. The model considers 23 functional groups. The total system throughput was 553 t/km²/year, 57% corresponds to internal consumption, 28% to respiration, 14% becomes detritus, and only 1% is removed through commercial fishing. The model suggests that even for exploited populations, predation and competition are heavier stresses than current fishing effort; however, because spiny lobster showed the second highest keystoneness’ index value, increasing fishing pressure on this group could strongly impact the entire ecosystem. We believe that this model has the potential to support management by allowing the exploration of the potential impacts of different fishing decisions at ecosystem level.     

土壤养分空间估测方法研究综述

土壤养分是土壤提供的植物生长发育所必需的营养元素。由于受到自然因素和人为因素的共同作用,土壤养分具有高度的空间变异性。土壤的这种特性不仅表现在区域尺度上,而且也表现在田块尺度上。在研究方法上经历了从传统统计学到地统计学,再到神经网络、地理信息技术以及高精度曲面建模等新方法的不断改进过程。文章从地统计学方法引入到土壤养分空间变异研究中为出发点,论述了国内外基于地统计学的土壤养分空间变异的研究现状,主要包括利用地统计学方法来确定合理的土壤采样数目,土壤养分空间变异的定量化研究,土壤养分空间变异的尺度效应;然后简述了神经网络、地理信息技术、高精度曲面建模等技术在土壤养分空间变异研究中的研究现状和应用。最后对比分析了各种研究方法在应用中存在的缺陷,同时指明了今后应加强作物生长的不同时期土壤养分的空间变异性、土壤在四维空间尺度上的演变机理以及环境信息获取的不确定性等方面的研究。     

宁波市农村生活污水处理模式研究

对现有农村污水治理方式进行了总结和效果评价。提出了适合宁波地区农村污水治理的4类模式。分别是污废合流的集中模式、分散模式,污废分流的分散模式、过渡模式。分析了模式选择的影响因素,分别是人口规模、集聚模式、地形、地质条件、功能区域,并对目标村庄进行亍相应分类,建立数学模型探讨了集中与分散模式的经济距离以及集中模式下户均投资的控制距离,最后根据研究成果对首批实施的14个行政村25个自然村的生活污水治理模式进行了选择。     

River environmental decision support system development for Suzhou Creek in Shanghai

The Suzhou Creek Rehabilitation Project (SCRP) is one of the largest water-related environmental rehabilitation schemes ever undertaken in the vicinity of Shanghai, China. This paper details the development and application of a River Environmental Decision Support System (REDSS) for scientific planning and decision-making on the Suzhou Creek project, and illustrates the flexibility of the REDSS framework. We developed the following components: (1) a GIS-based analysis employing Component technology; (2) a "data mart" for multi-dimensional, multi-level, integrated, dynamic, and flexible data querying; and (3) a set of hydrodynamic and water quality models which can simulate complex tidal river networks. In addition, we detail how a water quality assessment model is embedded into the REDSS by employing an Identification Index Method. With the REDSS, all GIS and non-GIS components are integrated seamlessly and data from different sources can be queried simultaneously. This allows for various scenarios to be simulated and analyzed in advance to predict and assess the effects of proposed engineering and management measures. Generated information can thus support effective decisions. All operations of the REDSS can be implemented conveniently through user-friendly interfaces. The function of the REDSS framework is demonstrated through an application to Suzhou Creek. Because the REDSS characteristics are quite general, it may be applied in different geographic regions.     

骆马湖浮游植物演替规律及驱动因子

江苏骆马湖作为南水北调工程的重要调蓄湖泊,水生态系统结构变化不容忽视.为研究骆马湖浮游植物群落结构演替规律及其与环境因子的关系,于2014~2018年进行了逐月监测.研究期间骆马湖总氮、高锰酸盐指数、电导率等参数呈逐年升高趋势,氟离子浓度呈逐年下降趋势.共鉴定有浮游植物7门71属,月均生物量变化范围0.16~5.51mg·L^-1.硅藻和绿藻为绝对优势门类,其次为甲藻及隐藻;主要优势属为针杆藻（Synedra sp.）、隐藻（Chroomonas spp.）、直链硅藻（Aulacoseira spp.）、锥囊藻（Dinobryon sp.）、栅藻（Scenedesmus spp.）、脆杆藻（Fragilaria spp.）、转板藻（Mougeotia sp.）、纤维藻（Ankistrodesmus sp.）和裸藻（Euglena spp.）.2014~2018年骆马湖浮游植物群落结构年际差异较大,其变化主要体现在浮游植物生物量的再分配,硅藻和绿藻继续保持优势外甲藻和蓝藻的优势度增加.非度量多维尺度分析显示,骆马湖浮游植物群落变化与总氮、氟离子、水温、总磷、溶解氧、pH、电导率和高锰酸盐指数等因素有关,广义可加模型同样显示总氮、氟离子浓度和水温是主导骆马湖浮游植物群落结构变化的主要因素.总氮、氟离子浓度是影响浮游植物群落年际变化的环境因子,而水温是引起浮游植物群落季节变化的主要因子.结合近几年管理部门采取的措施,浮游植物群落年际变化可能与骆马湖实行禁止采砂和拆除围网等管理修复措施有关.     

基于住房价格的通勤碳排放空间分异——以济南市为例

住房价格能够影响居民的居住决策,进而影响其通勤碳排放。为研究住房价格与通勤碳排放的内在关系,构建住房价格影响个体通勤碳排放的理论模型,并利用“个体—街道”两水平线性模型,对济南市居民出行调查数据进行实证检验。研究发现：（1）通勤碳排放呈现出“中心低碳化、外围高碳化”,且外围趋于分化的空间格局。（2）住房价格通过虹吸效应影响居民的碳排放。具体表现为住房价格与碳排放负相关,外围低房价吸引居住者,而居住者的远程机动通勤导致外围高值碳排放;但住房价格的边际增碳程度随着远离市中心而先缓（距市中心 5 km）后增（距市中心5 km及以上）。（3）外围工资收入对虹吸效应起调节作用。工资水平较高的外围区域有利于实现职住平衡,抑制了虹吸效应,进而分化为碳排放的冷点区,工资水平较低的外围区域则分化为碳排放的热点区。研究认为,应通过多中心空间发展战略、提高居民的就业可达性、优化针对公租房的公共交通供给等措施,引导居民低碳通勤。     

建立在生命周期分析之上的城市机动车能源结构优化

针对我国城市能源供需矛盾日益恶化、环境污染日益严重的现状,优化城市机动车能源结构,缓解城市机动车对传统能源的使用压力,减少尾气排放,具有十分重要的意义.因此,本文以成都市为例,采用线性优化技术,通过确定各种车用能源生命周期内的能源消耗及排放、各种能源车辆的经济成本等,分析得到成都市整个城区范围内能耗最低、排放最小的各种能源机动车数量比例.结果表明,成都市各种能源机动车的数量比例随所选目标函数的不同而有所变化.为实现总能耗最小,各种能源机动车的比例按汽油、柴油、纯电动、电力/汽油混合动力、CNG单燃料、CNG/汽油双燃料、LPG单燃料、及LPG/汽油双燃料等划分应分别68.6%、11.4%、3.7%、6.1%、5.0%、5.0%、0.1%、0.1%.与机动车数量比例优化前相比,优化后总能源消耗量、石油消耗量分别平均减少了11.5%、13.8%.除PM₁₀及SO_x排放量有所增加外,其他气体的排放均有所减少,如CO₂、VOC、CO及NO_x的平均排放量分别减少了10.6%、13.5%、13.5%及16.5%.这是因为机动车能源结构优化后,纯电动汽车及混合燃油汽车的比例有所增加,由于这两类汽车都需要经常充电从而增加了电网的压力.而我国发电技术主要采用火力发电,发电过程将会产生大量的PM₁₀及SO_x.本研究的成果可用于环境决策者制定有效的交通能源政策,达到城市可持续发展的目的.     

Accurate prediction of air quality response to emissions for effective control policy design

Designing effective control policy requires accurate quantification of the relationship between the ambient concentrations of O₃and PM_2.5and the emissions of their precursors.However,the challenge is that precursor reduction does not necessarily lead to decreases in the concentrations of O₃and PM_2.5,which are formed by multiple precursors under complex physical and chemical processes;this calls for the development of advanced model technologies to prov...     

基于多种新型受体模型的PM2.5来源解析对比

为了解多种新型受体模型的适用性,利用正定矩阵分解/多元线性引擎2-物种比值（PMF/ME2-SR）、偏目标转换-正定矩阵分解（PTT-PMF）、正定矩阵分解（PMF）和化学质量平衡（CMB）这4种受体模型对我国北方典型城市细颗粒物(PM_2.5)数据进行同步解析并互相验证.结果发现,燃煤源（25%～26%）、扬尘源（19%～21%）、二次硝酸盐（17%～19%）、二次硫酸盐（16%）、机动车源（13%～15%）、生物质燃烧源（4%～7%）和钢铁源（1%～2%）这7种主要污染源对研究地区PM_2.5有贡献.通过比较不同模型获得的源成分谱和源贡献以及计算各源的差异系数（CD）和平均绝对误差（AAE）,发现4种模型的解析结果具有较高的一致性（平均CD值在0.6～0.7之间）,但不同模型对各污染源中组分的识别存在差异.相比于传统PMF模型,PMF/ME2-SR模型由于纳入一次源类的特征比值,能够更好地区分源谱特征较为相似的源类,如扬尘源的CD和AAE分别比PMF模型低15%和54%; PTT-PMF模型以实测一次源谱和虚拟二次源谱为约束目标,计算的二次硫...