文章基本信息

标题：Derived Ocean Features for Dynamic Ocean Management
其他标题：English
本地全文：下载
作者：Alistair J. Hobday ; Jason R. Hartog
期刊名称：Oceanography - Oceanography Society
印刷版ISSN：1042-8275
出版年度：2014
卷号：27
期号：4
页码：134-145
DOI：10.5670/oceanog.2014.92
出版社：Oceanography Society
摘要：Primary environmental variables, such as sea surface temperature, wind speed, and chlorophyll, have been used widely in a variety of studies by biological oceanographers to explore the relationship between “physics” and, say, distribution and abundance of marine organisms. Fisheries scientists in particular have explored a range of relationships between physics and catch data to understand fish distribution and fishing impacts. The explanatory power of models based on such primary variables is typically limited and may not lead to insight into mechanisms behind the environmental associations. Variables that are more direct measures of habitat, such as thermal fronts, upwelling zones, eddies, and water column descriptors (e.g., mixed layer depth), may yield additional explanatory power. We have developed a suite of these derived variables and demonstrate their utility using examples from Australian fisheries and marine spatial planning. Refinement and access to derived variables may be useful in a range of applications, including catch standardization, habitat prediction, ecosystem models, spatial management, and harvest strategies, and will play an important role in the emerging area of dynamic ocean management.