全球变化背景下暖水珊瑚礁生态系统的适应性与修复研究

暖水珊瑚礁生态系统是热带海域最具生物多样性和代表性的生态系统之一。本研究分析了全球变化背景下暖水珊瑚礁生态系统的变化和风险,开展了受损暖水珊瑚礁生态系统退化和消失的致灾因子归因分析,综述了暖水珊瑚礁生态系统的适应性与修复技术研究。分析表明:①过去几十年来,暖水珊瑚礁生态系统快速退化,包括大面积白化和死亡、多样性明显减少和生态功能显著衰退,主要归因于海洋升温与人类活动等致灾因子的影响;②在温室气体高排放浓度情景下(RCP 8.5),相比工业革命前,到本世纪中叶,南海升温将可能远超过2℃,这表明南海暖水珊瑚礁生态系统正在逼近其气候临界点,即全球升温高于2℃时,90%~99%以上的暖水珊瑚将消失;③1980年代以来,海洋升温、海洋热浪和强热带气旋等海洋气候变化致灾因子对南海暖水珊瑚的危害性(影响的强度、范围和时间)明显增加,对暖水珊瑚礁生态系统产生了严重的影响;与此同时,近岸海域的过度或破坏性捕捞、采挖和潜水等人类活动,对暖水珊瑚造成了严重损害,增加了暖水珊瑚的气候脆弱性,而这种人类活动既是局部的,也是全球性的现象,使得暖水珊瑚更难以适应全球变暖的影响。分析还表明,为了增强暖水珊瑚适应气候与环境变化的恢复力(韧性),人们开展了诸多受损珊瑚礁生态系统的适应性与修复研究,但主要是采用无性繁殖或结合人工基质的修复方式,而应用有性繁殖技术恢复受损珊瑚礁的方式仍较少;最近,暖水珊瑚耐热的基因适应性研究取得了重要进展,为暖水珊瑚适应全球变暖提供了一种新的途径。本研究最后探讨了中国受损珊瑚礁生态系统的修复问题与对策。     

海洋生态修复研究进展与热点分析

海洋生态修复是遏制海洋生态系统退化的重要途径,受到全球越来越多学者的关注。本研究以科学引文索引(Science Citation Index Expanded,SCIE)数据库为数据源,采用文献计量统计分析方法,结合VOSviewer知识图谱可视化分析软件,定量分析了1980—2019年国际上在海洋生态修复领域发表的相关文献,梳理了近40年来该领域研究的发展脉络、前沿热点和未来方向。结果表明,近40年间,海洋生态修复领域的发文数量随时间呈上升趋势,尤其2000年后增长速度加快,以北美洲、大洋洲、欧洲国家居多,其中美国占绝对领先地位。海洋生态修复领域涉及的学科主要有环境科学、生态学、海洋及淡水生物学等,Journal of Coastal Research、Restoration Ecology、Ecological Engineering和Estuarine,Coastal and Shelf Science是该领域的主要发文期刊。当前海洋生态修复研究热点主要包括植被恢复、海洋生物种群恢复、滨海湿地修复与生物地球化学、气候变化与生态系统管理等主题,其中关于缓解和适应气候变化、生态系统的自然恢复途径、生态系统服务功能提升等方面的研究愈来愈受到关注,是未来一段时间内海洋生态修复领域的研究热点。随着我国《国民经济和社会发展第十四个五年规划》拉开序幕以及海洋生态文明建设不断深化,我国海洋生态修复研究将驶入快车道,建议在应对气候变化的海洋生态修复、区域性海洋生态系统修复规划、海洋生态退化机理与修复关键技术、适应性管理等方面加强研究和探索。     

历史名人轨迹的空间可视化与分析

历史名人的行为轨迹反映了当时的历史文化背景,通过历史名人行为轨迹的空间化和可视化,可以对历史社会状态进行探索和分析。对历史名人的社交关系网络进行可视化研究,有利于剖析当时的政治背景与人物关系。目前,基于GIS的空间人文社会科学深层次分析方法和工具还很少,根据地理位置对历史人物的社交网络进行分时段的研究也很少。本文以玄奘和欧阳修为例,探索了基于WebGIS的历史人物轨迹空间可视化分析方法,基于核密度估计与标准差椭圆的空间分析方法,分析历史名人轨迹点的空间分布特征,统计迁徙指数、首都距、家乡距、成长地距以分析基于距离的轨迹点移动特点;分时段构建了历史名人的空间社交网络,并结合历史背景、名人事迹、名人作品和空间化结果进行了综合分析。分析结果表明： ① 历史名人的迁移轨迹与当时的历史人口迁移趋势基本是一致的,受社会变动影响较大;② 历史名人在事业上升期有更大的社交网络圈,而在人生没落阶段社交网络圈减小。本文对历史名人轨迹的空间可视化与分析方法进行了探索,可以为空间人文社会科学相关领域的分析研究提供参考。     

Quality and timing of crowd-based water level class observations

Crowd-based hydrological observations can supplement existing monitoring networks and allow data collection in regions where otherwise no data would be available. In the citizen science project CrowdWater, repeated water level observations using a virtual staff gauge approach result in time series of water level classes (WL-classes). To investigate the quality of these observations, we compared the WL-class data with “real” (i.e., measured) water levels from the same stream at a nearby gauging station. We did this for nine locations where citizen scientists reported multiple observations using a smartphone app and at 12 locations where signposts were set up to ask citizens to record observations on a paper form that could be left in a letterbox. The results indicate that the quality of the data collected with the app was better than for the forms. A possible explanation is that for each app location, a single person submitted the vast majority of the observations, whereas at the locations of the forms almost every observation was made by a different person. On average, there were more contributions between May and September than during the other months. Observations were submitted for a range of flow conditions, with a higher fraction of high flow observations for the locations were data were collected with the app. Overall, the results are encouraging for citizen science approaches in hydrology and demonstrate that the smartphone application and the virtual staff gauge are a promising approach for crowd-based water level class observations.     

GIS research to address tensions in geography

The rise of Geographic Information Systems (GIS) technologies has been producing powerful tools for spatial data processing, management, analysis, modeling, and visualization. While supporting many tasks, GIS technologies have evoked new thinking and advanced intellectual inquiries in geography. Technological advances in other fields often stimulate new research questions and lead to revolutionary discoveries. The Hubble telescope revolutionizes our understanding of the universe, and 3D digital microscopes transform our knowledge of the coordination among biological, neurological, and physiological systems in living organisms. Can GIS claim similar revolutionary effects on geography? The answer is much up for debate. With GIS technologies, geographic studies can explore a broader extent across multiple scales in space and time and tackle problems through increasingly complex spatial statistics, visual analytics, computation, simulation, machine learning, and artificial intelligence. Both the Hubble telescope and 3D digital microscope were built based on scientific research that subserves the technological advances for inquiries into space and life systems. Likewise, GIScience research innovates GIS methods that enable novel geographic investigations and therefore contribute to geographic knowledge production. For the sake of simplicity, the term GIS used here represents both GIScience and GIS technologies. This essay attempts to clarify the intellectual contributions of GIS to geography on the following two questions: (1) What novel geographic thinking is driven by GIS? (2) How may GIS provoke new geographic inquiries and knowledge? Building on Nystuen's notion of four tensions that trigger geographic questions, the essay discusses how GIS innovations mediate historical tension, space‐time tension, dimensional tension and scale tensions.     

Computer Science and Programming Courses in Geography Departments in the United States

Geographic information systems (GIS) are fundamental information technologies. The capabilities and applications of GIS continue to rapidly expand, requiring practitioners to have new skills and competencies, especially in computer science. There is little research, however, about how best to prepare the next generation of GIScientists with adequate computer science skills. This article explores how U.S. geography departments are introducing and developing computer science and programming skills in their geography and GIS degree programs. We review the degree requirements in fifty-five geography departments and discover that forty-four of them offer some kind of GIS programming course. Of the 210 separate degree options identified, however, only 22 require one of these courses for a degree. There is little consistency or emphasis on computer science and programming skills in geography or GIS degrees, despite the immense importance of these components in geography and GIS careers. We propose future research along distinct investigative tracks to build a research-based understanding of the educational interactions among GIS, computer science, programming, and geography.     

基于文献计量方法的国际地理科学研究机构竞争力分析

本文利用2000-2015年WOS（Web of Science）的原始数据,以科研产出为视角,基于文献计量法,运用信息检索技术和TDA等引文分析工具,对遴选出的13个国际上具代表性的地理科学研究机构（中国科学院地理科学与资源研究所、北京大学城市与环境学院、北京师范大学地理与遥感学院、牛津大学地理与环境学院、剑桥大学地理系、伦敦大学联邦、加州大学系统、马里兰大学系统、杜伦大学地理系、伯明翰大学地理地球与环境科学学院、布里斯托大学地理科学学院、英属哥伦比亚大学地理系、国际应用系统分析研究所）的科研生产力、影响力、学科结构、国际合作力、重要成果等方面的发展现状进行了统计分析,结果显示,马里兰大学系统地理系总体学科影响力相对较强。中国科学院地理科学与资源研究所SCI&SSCI论文总数以绝对优势占居领先地位,但被引用情况却不尽人意,这也从一个侧面反映出学术影响力提升空间较大;与此同时,随着国际合作范围的扩展和国际合作能力的不断提升,该研究所的前沿开拓与创新发展力逐步走强。     

Crossing Boundaries in a Collaborative Modeling Workspace

There is substantial literature on the importance of bridging across disciplinary and science–management boundaries. One of the ways commonly suggested to cross boundaries is for participants from both sides of the boundary to jointly produce information (i.e., knowledge co-production). But simply providing tools or bringing people together in the same room is not sufficient. Here we present a case study documenting the mechanisms by which managers and scientists collaborated to incorporate climate change projections into Colorado’s State Wildlife Action Plan. A critical component of the project was the use of a collaborative modeling and visualization workspace: the U.S. Geological Survey’s Resource for Advanced Modeling (RAM). Using video analysis and pre/post surveys from this case study, we examine how the RAM facilitated cognitive and social processes that co-produced a more salient and credible end product. This case provides practical suggestions to scientists and practitioners who want to implement actionable science.     

中国地壳运动观测网络在地球科学研究中的应用前景

简要地介绍了中国地壳运动观测网络的概况和目前的进展,论述了地壳运动观测网络在地球科学研究中的重要作用和应用前景。其应用潜力主要体现在:①在中国地壳运动监测研究中发挥重要作用,成为中国地震预测预报研究的重要基础;②为地球动力学研究提供重要的依据;③建立维持ITRF地球参考框架、研究地球自转、极移和章动及变化;④精化、加密全国大地网和大地水准面;⑤在气象学中的应用;⑥研究电离层电子浓度及其变化规律;⑦提供精密近实时的GPS轨道参数;⑧为广域差分定位奠定基础。