西太湖秋季蓝藻水华过后细胞裂解对溶解性有机碳影响

从2009年7月~2010年3月每月采集西太湖表层水样,分析叶绿素含量﹑蓝藻细胞裂解速率﹑磷酸盐浓度的变化,并通过切向流超滤系统分离得到的高分子量(1kDa~0.5μm)溶解性有机物的碳氮比值和高分子量溶解性有机碳浓度的变化.结果表明,西太湖蓝藻细胞裂解速率在11月达到最大值(0.43d-1),而磷酸盐和高分子量溶解性有机碳浓度分别在12月与9月达到最大值.细胞裂解速率与磷酸盐﹑高分子量溶解性有机碳浓度之间没有相关性,说明水华过后影响磷酸盐浓度﹑高分子量溶解性有机碳的因素很多,蓝藻细胞裂解只是其中重要因素之一.藻类水华的出现可能导致水体中其它磷形态(如有机磷)与磷酸盐之间的迁移转化,而大型浅水湖泊扰动导致的沉积物再悬浮和水华过后频繁的细菌活动都可能是影响高分子量溶解性有机碳的因素.秋季水华过后蓝藻细胞裂解释放的有机碳进入微食物网循环,引起细菌活动频繁,而溶解性有机物中含碳化合物比含氮化合物容易降解,所以碳氮比值逐渐减少.此外细菌通过硝酸盐合成溶解性有机氮也可能是碳氮比值减少的一个重要原因.     

Demonstrating a correlation between infrastructure and national development

This paper demonstrates a correlation between the extensiveness of infrastructure and national development. This was achieved by considering kilometres of paved roads, kilometres of rail, kilometres of paved runways, quality of shipping ports and quality of urban infrastructure. Data were collected from a variety of sources including the World Bank and the United Nations databases. Measures of the quantity or extensiveness of the infrastructures were normalized based on the populations of the various countries, transforming them into per capita measures, which were then logarithmically transformed to produce indices of the extensiveness of the infrastructures. These indices were then plotted against the national development indicator, the human development index (HDI). Of the infrastructures considered, paved roads per capita index showed the strongest correlation with HDI, while quality of port infrastructure index showed the weakest correlation. When the indices for the different infrastructures were combined into a single index the correlation with HDI appeared to be strongest, highlighting the synergistic effect of different infrastructures when working in tandem. Based on this, the findings of this study support the position of holistically managing a country's infrastructure assets.     

When does centrality matter? Scientific productivity and the moderating role of research specialization and cross‐community ties

The present study addresses the ongoing debate concerning academic scientific productivity. Specifically, given the increasing number of collaborations in academia and the crucial role networks play in knowledge creation, we investigate the extent to which building social capital within the academic community represents a valuable resource for a scientist's knowledge‐creation process. We measure the social capital in terms of structural position within the academic collaborative network. Furthermore, we analyse the extent to which an academic scientist's research specialization and ties that cross‐community boundaries act as moderators of the aforementioned relationship. Empirical results derived from an analysis of an Italian academic community from 2001 to 2008 suggest academic scientists that build social capital by occupying central positions in the community outperform their more isolated colleagues. However, scientific productivity declines beyond a certain threshold value of centrality, hence revealing the existence of an inverted U‐shaped relationship. This relationship is negatively moderated by the extent to which an academic focuses research activities in few scientific knowledge domains, whereas it is positively moderated by the number of cross‐community ties established. Copyright © 2012 John Wiley & Sons, Ltd.     

清远市乐排河氰化物跨境污染应急处理案例分析

近年来突发性跨境污染事件时有发生,广州市环保局曾先后成功处理北江镉污染、清远市乐排河氰化物污染等事件。本案例通过回放对清远市乐排河氰化物污染事件的应急处理过程,总结出环保部门应对突发性跨境污染事件三方面的思考：1.加强对跨境河流的监控是及时掌握突发性污染的必要手段;2.借鉴同类型污染事件的处理方法是有效处理事件的捷径;3.环保部门严格按职责处理是解决跨境污染事件的关键。     

Mountains and Handrails: Risk,Meaning, and Responsibility in Three National Parks

Where we live, the relationships we maintain, or the experiences we have can tell us about the way we perceive risk and the responsibility for its management. Perceptions of risk and responsibility are particularly relevant in US national parks, where unintentional injury is prevalent, yet support exists for allowing risk exposure. If experiencing risk may be both desirable (e.g., self-affirming) and undesirable (e.g., injury-causing), what is its role in a national park? Moreover, what are the expectations for visitors to encounter or to avoid it? In-depth interviews with National Park Service employees suggest that desired risk is contingent upon the circumstances in which it is encountered, and the values and prior experience of individuals. Employees perceive visitors as responsible for avoiding undesirable risk through information seeking and awareness, but also recognize considerable barriers to doing so. Theoretical and practical implications and avenues for future research are presented.     

基于网络团购的民族地区旅行社电子商务发展研究

网络团购已经逐渐发展成为一种新兴的电子商务模式,团购产品的覆盖范围也已非常广泛.揭示了民族地区旅行社电子商务发展与网络团购的内在相关性和作用机理,并探讨了适合民族地区旅行社电子商务发展的网络团购模式,提出了发展民族地区旅行社电子商务的思路与对策.     

基于地理探测器的中国国家级开发区时空演化过程及其驱动力研究

各种类型的开发区是我国改革开放的“试验田”和经济快速发展的重要空间载体,其空间分布格局一直是国内外关注的热点问题,但对其中长时间尺度的空间演化过程研究相对较少,而后者是理解中国经济空间演化的重要基础。运用最邻近指数、核密度指数和地理探测器等方法,总结了中国国家级开发区空间演化的过程及其驱动力因子。研究的主要结论是：各类国家级开发区的时空演化经历了三个阶段,即起步试点阶段、稳步推进阶段和快速推广阶段;政策上实现了从试点探索到面上推广;空间上呈现出从东部沿海向沿江、沿边以及内陆不断拓展,从东部向中西部推进,从省会城市向地级市递进的特征;开发区的时空演化格局是距离、城市等级、经济实力、开放程度等因素综合作用的结果,其中城市等级、开放程度和经济发展水平是核心影响因子,距离和经济密度是次级影响因子;不同类型的开发区核心驱动因子既存在共同性,同时因为定位、功能不同也具有差异性。     

红色旅游对游客国家认同的影响

红色旅游作为传承红色基因、加强爱国主义教育、增强国家认同的有效载体,具有鲜明的政治功能。以认知评价情绪评价理论和积极情绪拓展—建构理论为基础,构建红色旅游国家认同影响模型并提出相应假设,运用偏最小二乘法结构方程模型（PLS-SEM）进行了实证检验。结果显示：构建的红色旅游国家认同影响模型具有良好的解释力和预测力,模型具有交叉效度,整体模型的GOF值高于良好适配度的标准值;红色旅游通过红色旅游情感对游客国家认同有正向促进作用;历史认同对国家认同的影响不明显,其他假设均成立。该研究为相关模型构建提供了思路,成果可为强化红色旅游的国家认同研究、拓展红色旅游理论内涵与教育功能、促进红色旅游高质量发展提供理论依据。     

国外大尺度生态廊道保护进展与秦岭国家公园建设

大型山脉在其走向上往往是生物扩散和分布的天然廊道。然而,由于人类干扰引起的生境碎片化,山地廊道的连通性已大为降低。20世纪以来,人们普遍意识到当前或过去的自然保护措施往往规模太小,无法维持许多物种的长期生存及其所依赖的生态过程。因而,山地廊道的连通性保护日益受到关注,大尺度生态廊道被认为是长远意义上保护气候变化下生物多样性的最优策略。综述连通性保护和生态廊道的概念、发展历程及国外大尺度生态廊道建设实践的经验,并从连通性保护的角度对秦岭国家公园建设提出一些建议,强调大尺度的连通性保护和生态廊道建设对于国家公园自然生态系统的长远保护具有重要意义。     

大尺度生态干扰风险评估技术方法及应用研究

为实现大尺度生态干扰高风险区域的快速、有效识别,从生态易损性、干扰易达性和资源易引性三个方面选取了9个指标,构建了生态干扰风险评估指标体系和评估模型,形成了完整的大尺度生态干扰评估技术与方法.利用该技术方法,本文评估分析了全国国土空间生态干扰风险状况、空间分布格局及其成因,并结合2017~2019年全国自然保护区人类活动监测数据和《全国主体功能区规划》中生态脆弱性评价结果对生态干扰风险评估结果进行了精度分析.结果显示：超过90%的自然保护区人类活动都集中在评估得到的中高风险区域;全国生态干扰风险主要以中风险为主、低风险次之、再次是较低风险、较高和高风险区域面积最少;其中较高和高风险区域主要分布在我国中西部和东北部的秦岭、祁连山、三江源和内蒙古草原等区域,生态干扰风险空间分布格局与生态系统结构与功能状况、地形与交通条件、资源潜力等因素具有较强相关性.