首页 | 本学科首页   官方微博 | 高级检索  
     

采用遥感手段估算海洋初级生产力研究进展
引用本文:徐红云,周为峰,纪世建. 采用遥感手段估算海洋初级生产力研究进展[J]. 生态学杂志, 2016, 27(9): 3042-3050. DOI: 10.13287/j.1001-9332.201609.034
作者姓名:徐红云  周为峰  纪世建
作者单位:1.农业部东海与远洋渔业资源开发利用重点实验室, 上海 200090;2.中国水产科学研究院渔业资源遥感信息技术重点实验室, 上海 200090;3.上海海洋大学海洋科学学院, 上海 201306
基金项目:国家科技支撑计划项目(2013BAD13B06)、上海市自然科学基金项目(16ZR1444700)、上海市科技创新行动计划项目(15DZ1202201)和农业部渔业遥感科学观测实验站开放课题(OFSOESFRS201505)资助
摘    要:海洋初级生产力的精确估算对渔业资源评估与管理、海洋生态系统和全球变化等研究具有重要意义.传统的现场测量与估算方法必须依赖于随船采样数据.卫星遥感具有能够获取实时的、大尺度的、动态的海洋环境参数的优点,因此卫星遥感日益成为大尺度海洋初级生产力估算的重要手段.本文从海洋水色传感器的发展历程出发,着重归纳了以叶绿素、浮游植物碳和浮游植物吸收系数为参量的海洋初级生产力的遥感估算方法,并就这3类模型的适应性和复杂程度进行了讨论.在此基础上,进一步分析评价了全球海洋初级生产力遥感估算的研究现状.鉴于当前海洋初级生产力遥感估算研究中存在的问题,今后的研究需要在4个方面进一步加强:1)对全球海洋初级生产力估算进行分区域研究;2)加深对浮游植物吸收系数的研究;3)提高海洋遥感技术水平;4)加强实地测量技术的研究.

关 键 词:遥感手段  估算模型  海洋初级生产力  浮游植物吸收系数
收稿时间:2016-01-26

Review of estimation on oceanic primary productivity by using remote sensing methods.
XU Hong-yun,ZHOU Wei-feng,JI Shi-jian. Review of estimation on oceanic primary productivity by using remote sensing methods.[J]. Chinese Journal of Ecology, 2016, 27(9): 3042-3050. DOI: 10.13287/j.1001-9332.201609.034
Authors:XU Hong-yun  ZHOU Wei-feng  JI Shi-jian
Affiliation:1.Key Laboratory of East China Sea & Ocean Fishery Resources Exploitation and Utilization, Ministry of Agriculture, Shanghai 200090, China;2.Key Laboratory of Fisheries Remote Sensing and Information Technology, Chinese Academy of Fishery Sciences, Shanghai 200090, China;3.College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
Abstract:Accuracy estimation of oceanic primary productivity is of great significance in the assessment and management of fisheries resources, marine ecology systems, global change and other fields. The traditional measurement and estimation of oceanic primary productivity has to rely on in situ sample data by vessels. Satellite remote sensing has advantages of providing dynamic and eco-environmental parameters of ocean surface at large scale in real time. Thus, satellite remote sensing has increasingly become an important means for oceanic primary productivity estimation on large spatio-temporal scale. Combining with the development of ocean color sensors, the models to estimate the oceanic primary productivity by satellite remote sensing have been developed that could be mainly summarized as chlorophyll-based, carbon-based and phytoplankton absorption-based approach. The flexibility and complexity of the three kinds of models were presented in the paper. On this basis, the current research status for global estimation of oceanic primary productivity was analyzed and evaluated. In view of these, four research fields needed to be strengthened in further stu-dy: 1) Global oceanic primary productivity estimation should be segmented and studied, 2) to dee-pen the research on absorption coefficient of phytoplankton, 3) to enhance the technology of ocea-nic remote sensing, 4) to improve the in situ measurement of primary productivity.
Keywords:remote sensing measures  estimation models  oceanic primary productivity  phytoplankton absorption coefficient
点击此处可从《生态学杂志》浏览原始摘要信息
点击此处可从《生态学杂志》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号