2010_2016年国际极地研究综合评价分析

极地在气候系统、全球资源和战略中具有重要意义，并且随着人类对它的开发，极地研究也日益成为地球与环境科学领域的核心和热点议题。基于Web of Science 数据库收录的2010 － 2016 年SCI文章，利用文献计量方法，结合国际政策和战略，分析了2010 － 2016 年极地研究的发展格局和变化趋势。结果表明: ( 1) 近年来国际极地研究论文年发文量总体呈持续增长态势，年均增幅为3． 6%。( 2)发达国家及高纬度国家是极地领域的主要研究力量，美国占据绝对优势。( 3) 在SCI 发表的国际极地研究论文来源期刊共计915 种，来自57 个国家，美国期刊占1 /3。( 4) 结合欧盟极地研究优先领域和文献计量方法得出，极地研究未来新的发展方向侧重于人文及社会因素，重点提倡人类对极地的影响以及新技术应用。建议我国科研人员密切关注国际极地研究的发展态势和进展，鼓励海洋学、气象学、地质学、环境生态学、生物学、社会学和政治学等领域专家有计划地开展极地研究，为我国赢取极地研究国际发言权和参与度。</p

室内植物表型平台及性状鉴定研究进展和展望

Plant phenomics is under rapid development in recent years, a research field that is progressing towards integration, scalability, multi-perceptivity and high-throughput analysis. Through combining remote sensing, Internet of Things (IoT), robotics, computer vision, and artificial intelligence techniques such as machine learning and deep learning, relevant research methodologies, biological applications and theoretical foundation of this research domain have been advancing speedily in recent years. This article first introduces the current trends of plant phenomics and its related progress in China and worldwide. Then, it focuses on discussing the characteristics of indoor phenotyping and phenotypic traits that are suitable for indoor experiments, including yield, quality, and stress related traits such as drought, cold and heat resistance, salt stress, heavy metals, and pests. By connecting key phenotypic traits with important biological questions in yield production, crop quality and Stress-related tolerance, we associated indoor phenotyping hardware with relevant biological applications and their plant model systems, for which a range of indoor phenotyping devices and platforms are listed and categorised according to their throughput, sensor integration, platform size, and applications. Additionally, this article introduces existing data management solutions and analysis software packages that are representative for phenotypic analysis. For example, ISA-Tab and MIAPPE ontology standards for capturing metadata in plant phenotyping experiments, PHIS and CropSight for managing complicated datasets, and Python or MATLAB programming languages for automated image analysis based on libraries such as OpenCV, Scikit-Image, MATLAB Image Processing Toolbox. Finally, due to the importance of extracting meaningful information from big phenotyping datasets, this article pays extra attention to the future development of plant phenomics in China, with suggestions and recommendations for the integration of multi-scale phenotyping data to increase confidence in research outcomes, the cultivation of cross-disciplinary researchers to lead the next-generation plant research, as well as the collaboration between academia and industry to enable world-leading research activities in the near future

新时代生态环境建设中陆海统筹发展对策研究——以厦门为例

海岸带地区是陆海交互作用区,是陆海统筹中需要重点关注的区域,党的十九大报告里提出要坚持陆海统筹,《深化党和国家机构改革方案》中提出整合原环境保护部等部委的相关污染防治和生态保护执法及国家海洋局的海洋环境保护职责,组建生态环境部。本研究通过对厦门市陆海统筹政策现状系统梳理分析,厘清生态环境建设中陆海统筹的关键问题,总结出陆海统筹工作的对策建议,包括构建生态环境陆海统筹管理新模式、蓝色经济与生态文明协同发展新模式、基于绿色发展的弹性海岸新模式、\"三个一\"智慧海岸带大数据信息系统技术新体系等。这些对策对于我国海岸带城市区域生态环境建设的陆海统筹和海岸带综合管理工作具有借鉴意义。厦门市社会科学院科研课题“厦门生态环境建设中陆海统筹问题研究”(厦社科研[2017]B02号);;国家自然科学基金项目“高强度围填海区域景观弹性测度与可持续转型途径研究”(41671084

林农天保二期工程参与意愿及其影响因素分析——以西部四个案例县(旗)为例

以云南省玉龙县、陕西省靖边县、甘肃省庆城县和内蒙古乌拉特前旗为例,通过林农问卷调查法,取得384份有效样本,运用logistic回归方法对林农天保二期工程参与意愿进行分析。结果显示:受访者文化程度、林木质量、是否知道公益林补偿政策和是否满意公益林补偿金兑现政策等因素对林农天保二期工程参与意愿有显著影响,并以此提出加强农村教育工作、增强公益林生态补偿标准制定的科学性、提高政策宣传力度、优化公益林补偿金的兑现政策的政策建议。国家自然科学基金资助项目“西部集体林区后天保工程时期的生态补偿机制研究”(71273215