Scale of inference: on the sensitivity of habitat models for wide-ranging marine predators to the resolution of environmental data
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- 作者：Kylie L. Scales ; Elliott L. Hazen ; Michael G. Jacox ; Christopher A. Edwards ; Andre M. Boustany ; Matthew J. Oliver and Steven J. Bograd
- 刊名：Ecography
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：40
- 期：i1
- 页码：210-220
- 全文大小：5219K
- ISSN：1600-0587
文摘
Understanding and predicting the responses of wide-ranging marine predators such as cetaceans, seabirds, sharks, turtles, pinnipeds and large migratory fish to dynamic oceanographic conditions requires habitat-based models that can sufficiently capture their environmental preferences. Marine ecosystems are inherently dynamic, and animal–environment interactions are known to occur over multiple, nested spatial and temporal scales. The spatial resolution and temporal averaging of environmental data layers are therefore key considerations in modelling the environmental determinants of habitat selection. The utility of environmental data contemporaneous to animal presence or movement (e.g. daily, weekly), versus synoptic products (monthly, seasonal, climatological) is currently debated, as are the trade-offs between near real-time, high resolution and composite (i.e. synoptic, cloud-free) data fields.