上海海洋大学, 海洋科学学院, 上海 201306;大洋渔业资源可持续开发省部共建教育部重点实验室, 上海海洋大学, 上海 201306
官文江(1974–), 男, 副教授, 研究方向为渔业资源评估. E-mail: wjguan@shou.edu.cn
S932
国家发改委产业化专项(2159999); 海洋高分辨率卫星遥感系统研制与示范应用项目.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China;The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai Ocean University, Shanghai 201306, China
由于多来源的海洋环境数据常以不同时间、空间分辨率呈现因此, 本研究利用多个网站提供的叶绿素浓度与海表水温数据不同数据源的数据之间常存在系统性偏差多源环境数据间的离散性反映数据存在随机误差, 以使模型结果得到科学应用。
Marine environmental data are always multi-source and multi-versional. This is because the different methods used for data collection vary in their retrieval algorithms, procedures used and purposes, so that data processing has various spatial and temporal resolutions with different errors. Hence, it is important to know whether results derived from different versions of the same data are consistent and the models can be correctly used by testing other versions of the data. For this purpose, we collected sea surface temperature data from different web sizes using linear regression and randomization tests to evaluate the effects of different data versions on the parameter estimations and predictions of habitat suitability index models. The results showed that because of system errors in the data, the parameters estimated differed significantly and the models were unable to make correct forecasts by inputting other versions of the data. Dispersion between different data versions reflected the random errors inherent in the data and led to uncertainty in the results of the habitat suitability index models. Accordingly, we suggest that model outputs are quantified for uncertainty to ensure that scientific data can be reliably used in fishery resource management.
官文江,高峰,雷林,陈新军.多种数据源下栖息地模型及预测结果的比较[J].中国水产科学,2015,22(1):149-157
GUAN Wenjiang, GAO Feng, LEI Lin, CHEN Xinjun. Comparisons of the habitat suitability index models developed by multi-source data and forecasting[J]. Journal of Fishery Sciences of China,2015,22(1):149-157
