基于遥感数据的南海北部近海蓝圆鲹栖息地模型分析
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- 英文论文题名：Habitat model Analysis for Decapterus maruadsi in the northern South China Sea based on the remote sensing data
- 论文作者：范江涛 ; 黄梓荣 ; 许友伟 ; 孙铭帅 ; 陈国宝 ; 陈作志
- 英文论文作者：FAN Jiangtao ; Huang Zirong ; Xu Youwei ; Sun Mingshuai ; CHEN Guobao ; CHEN Zuozhi ; South China Sea Fisheries Research Institute ; Chinese Academy of Fishery Sciences
- 年：2016
- 作者机构：中国水产科学研究院南海水产研究所;农业部南海渔业资源环境重点野外科学观测试验站;
- 论文关键词：遥感 ; 蓝圆鲹 ; 栖息地模型 ; 南海北部
- 英文论文关键词：Remote sensing ; Decapterus maruadsi ; Habitat model ; Northern South China Sea
- 会议召开时间：2016-11-02
- 会议录名称：2016年中国水产学会学术年会论文摘要集
- 语种：中文
- 分类号：S931.1;S951.4
- 学会代码：OGSB
- 会议名称：2016年中国水产学会学术年会
- 会议地点：中国四川成都
- 主办单位：中国水产学会、四川省水产学会
- 学会名称：中国水产学会
- 页数：1
- 文件大小：574k
- 原文格式：D
- 会议级别：全国
摘要
根据2014-2015年南海北部近海渔业资源调查的4个季度数据,结合遥感获得的海表温度和叶绿素α浓度数据,分析了南海北部近海蓝圆鲹渔场的分布,采用一元非线性回归建立各环境因子的适应性指数模型,分别采用最大值法、最小值法、算术平均值法、几何平均值法按季度建立栖息地指数模型(Habitat Suitable Index,HSI),并对模型精度进行验证。结果表明,各环境因子适应性指数模型准确,从各因子模型中计算可得出不同季节的各个因子的最适值,各模型因子拟合准确,均呈单峰分布。不同季度栖息地指数模型构建方法不同,其中春季采用最小值法,夏秋冬三季采用算数平均值法。模型分析发现渔场有明显的季节变化,HSI的高值区分布在离岸较近水域。模型准确率超过70%,表明该栖息地指数模型能够较好的分析拟合南海北部蓝圆鲹渔场。
Using the data from seasonal fishery resource survey in northern South China Sea(NSCS) from 2014 to 2015, the data of sea surface temperature and Chl-α concentration from satellite observation, we analyzed the distribution of Decapterus maruadsi fishing ground in NSCS. We built a suitable index model based on each environmental factor by the univariate nonlinear regression method, and developed seasonal Habitat Suitable Index(HSI) model according to maximum, minimum, arithmetic average method, and geometric average method,respectively; then we verified model accuracy. The results show that every suitable environmental factors index model is accurate, we can calculate the best value of each factor in different seasons based on these models, and the curve of these values show a unimodal distribution, which means the accuracy of factors fitting in every model. HSI in different seasons are built by different method, therein minimum method is used in spring, and arithmetic average method is applied in summer, autumn and winter. Analyzing these models, we find out the obvious seasonal variation of fishing ground, and high HSI value regions distribute in coastal waters NSCS. The model accuracy is more than 70%, this study suggests that HSI can be applied to analyze and fit the fishing ground of Decapterus maruadsi in NSCS.
Using the data from seasonal fishery resource survey in northern South China Sea(NSCS) from 2014 to 2015, the data of sea surface temperature and Chl-α concentration from satellite observation, we analyzed the distribution of Decapterus maruadsi fishing ground in NSCS. We built a suitable index model based on each environmental factor by the univariate nonlinear regression method, and developed seasonal Habitat Suitable Index(HSI) model according to maximum, minimum, arithmetic average method, and geometric average method,respectively; then we verified model accuracy. The results show that every suitable environmental factors index model is accurate, we can calculate the best value of each factor in different seasons based on these models, and the curve of these values show a unimodal distribution, which means the accuracy of factors fitting in every model. HSI in different seasons are built by different method, therein minimum method is used in spring, and arithmetic average method is applied in summer, autumn and winter. Analyzing these models, we find out the obvious seasonal variation of fishing ground, and high HSI value regions distribute in coastal waters NSCS. The model accuracy is more than 70%, this study suggests that HSI can be applied to analyze and fit the fishing ground of Decapterus maruadsi in NSCS.
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