我国马尾藻金潮生态动力学研究进展  

Research Progress in Ecological Dynamics of Golden Tide Dominated by Sargassum

作　　者：王丹[1] 姜亦飞[1] 王先桥[1] 王素芬[2] 何恩业[1] 张蕴斐[1] WANG Dan;JIANG Yifei;WANG Xianqiao;WANG Sufen;HE Enye;ZHANG Yunfei(Key Laboratory of Marine Hazards Forecasting,National Marine Environmental Forecasting Center,Ministry of Natural Resources,Beijing 100081,China;Guangdong Key Laboratory of Ocean Remote Sensing(LORS),State Key Laboratory of Tropical Ocaeanography,South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou 510301,China)

机构地区：[1]国家海洋环境预报中心自然资源部海洋灾害预报技术重点实验室,北京100081 [2]中国科学院南海海洋研究所,热带海洋环境国家重点实验室,广东省海洋遥感重点实验室,广东广州510301

出　　处：《地球科学进展》2021年第7期753-762,共10页Advances in Earth Science

基　　金：国家重点研发计划项目“海气界面浮标观测数据应用研究”(编号:2017YFC1403306);广东省海洋遥感重点实验室开放课题“基于多源卫星资料分析和反演的黄东海马尾藻藻华发展趋势预测研究”(编号:2017B030301005-LORS2011)资助。

摘　　要：马尾藻金潮作为一种新兴的海洋生态灾害在国内外频发,我国近些年近海防灾减灾形势愈发严峻。简介了马尾藻的主要危害;对国内外马尾藻金潮的溯源研究、基础生物和生态学研究、监测预警研究现状进行了梳理,对金潮生态动力学研究的发展现状与独特优势进行了讨论,认为未来我国金潮生态动力学会立足于多学科多手段融合,开展突出关键物理、化学和生物过程及其耦合作用的系统性研究,开展金潮与其他海洋生态灾害如绿潮、赤潮等联合暴发的驱动机制及其关联性研究,在研究思路上要注重基于海洋环境监测与海洋立体观测的早期预警、基于分子生物学和生态学手段的快速鉴种溯源、基于统计模型的生物量初级生产力评估以及基于数值模型的漂移轨迹与生消关键过程的趋势预测与风险评估相结合,为开发具备业务化预报能力的金潮生态动力学数值预警报系统不断努力,以便进一步提升我国大型海藻生态灾害的预警报技术和防灾减灾能力。In recent years,the golden tide dominated by Sargassum has become a kind of emerging marine ecological hazards occurring frequently at home and abroad. The main harm of golden tides is introduced there.The research progresses on source tracing,fundamental biology and ecology,early warning and monitoring,are generally mentioned. The development and superiority on ecological dynamics of golden tides are mainly discussed. We believe that in the future,with the highlight of the integration of multi-disciplines and multimeans,China will aim to carry out systematic research on key physical,chemical and biological processes of ecological dynamics of golden tides and their coupling effects,and on the driving mechanisms of the joint outbreak of golden tides and other marine ecological hazards(such as green tides and red tides) and their correlation. More attention could be paid to the technology fusion among the marine environmental monitoring and marine 3 D observation for early warning,molecular biology and ecology for fast species identification and traceability,the statistical model for biomass/primary productivity evaluation as well as the numerical model for the trajectory and key processes trend prediction and risk assessment. With the development of ecological dynamics numerical simulation technology,it is necessary to make efforts in building the operational forecasting system for golden tides,so as to further strengthen the prevention and mitigation of seaweed ecological hazards of the seas in China.

关 键 词：金潮 马尾藻 海洋生态动力学 生态灾害 灾害趋势预测 

分 类 号：P76[天文地球—海洋科学]