渔业科学观测数据的开放共享与应用研究

doi:10.19788/j.issn.2096-6369.200404

Abstract

Abstract:

Fishery scientific observation data is the basic data accumulated in daily fishery observation work. It has wide application value in fishery resources assessment, fishing production, ecological environment, processing and breeding, disease control and management decision-making. The classification, sharing and application of fishery scientific observation data is of great significance to promote the green development of fishery industry and improve the ability of scientific data management. In order to enhance the open sharing ability and data utilization value of fishery scientific observation data, this paper studies data resource structure, sharing system construction and application service analysis, based on data classification, sharing standards, system construction, service mode, big data analysis, typical application and other methods. Sorted out the standardized structure of fishery scientific observation data, proposed the construction scheme of fishery scientific observation data sharing system, designed the overall technical framework of fishery scientific observation data sharing service platform, strengthened the resources integration and aggregation processing of fishery scientific observation data. This study provides reasonable suggestions for sharing service content and data application, provides reference for further researching on fishery scientific observation data.

Key words: fishery scientific observation data, scientific data management, data convergence, data sharing, standard system

CLC Number:

Muhan Xue, Huiyuan Liu, Feng Lu, Qingzhao Jiang. Research on Opening sharing and Application of Fishery Scientific Observation Data[J].Journal of Agricultural Big Data, 2020, 2(4): 29-37.

Figures/Tables 7

Fig. 1

Table 1

Resource structure of fishery scientific observation data"

数据集分类	数据集内容	数据属性	指标类型
渔业资源数据	物种描述数据	物种信息、凭证标本信息	常规指标
	个体及种群数据	种名、分类地位、全长、种群大小、生长速率、物种组成、物种总数等	常规指标
	个体及种群数据	年龄结构	选择指标
	遗传数据	染色体数目、核型、SSR、SNP等	常规指标
	非生物栖息环境数据	生境类型、位置和规模、理化环境等	常规指标
	生物环境数据	浮游植物、浮游动物、附着生物、底栖动物种类、潮间带生物、叶绿素a	常规指标
	生物环境数据	潮间带生物	选择指标
	食物组成数据	肠容物种类、肠容物结构	常规指标
	共生微生物组成数据	体表微生物种类、肠道微生物种类、水体微生物种类	选择指标
生态环境数据	水文气象数据	风速、风向、气温、天气状况	常规指标
	水文气象数据	流速、流量、水位	选择指标
	水质环境数据	水温、盐度、透明度、悬浮物、pH等	常规指标
	水质环境数据	汞、镉、铅、铬、铜、锌、砷、挥发性酚、石油类	选择指标
	底质环境数据	类型、汞、镉、铅、铬、铜、锌、砷、石油类	常规指标
	底质环境数据	粒度	选择指标
	生态指标数据	叶绿素a、浮游动物、浮游植物、底栖生物	常规指标
	遥感环境数据	海表荧光高度、透光层深度等	常规指标
种质资源数据	基本信息数据	种质库编号、物种名称、物种拉丁名、科名、属名、种名、引种号、系谱、种质类型、图像、选育单位、育成年份等	常规指标
	遗传要素数据	倍性、生殖方式、遗传多态性	常规指标
	生物学特征数据	性别、年龄、体长、体重等	常规指标
	品质要素数据	肌肉灰分比例、皂甙含量、鲜干比、脂肪酸含量等	常规指标
生产养殖数据	养殖环境数据	水环境、沉积环境、生物生态、生物体质量	选择指标
	养殖结构数据	养殖类型、养殖品种、养殖密度、养殖方式、养殖产量、生物生长、成活率等	选择指标
	养殖生产数据	苗种、饲料、渔药、投入产出比等	选择指标
	现场连续监测数据	流速、流向、水温、盐度、溶解氧、pH、叶绿素a浓度	选择指标
	遥感数据	表层水温、盐度、叶绿素a浓度、初级生产力、悬浮物、水体透明度	选择指标

Table 1

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Research on Opening sharing and Application of Fishery Scientific Observation Data

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