Linking Cetaceans to Their Environment: Spatial Data Acquisition, Digital Processing and Predictive Modeling for Marine Spatial Planning in the Northwest Atlantic
Linking Cetaceans to Their Environment: Spatial Data Acquisition, Digital Processing and Predictive Modeling for Marine Spatial Planning in the Northwest Atlantic
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将鲸类动物与其环境联系起来：西北大西洋海洋空间规划的空间数据采集、数字处理和预测模型
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
B. Costa
中科院分区：
文献类型：
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作者：
S. Pittman;B. Costa
鲸目动物是体型大、寿命长、移动的性高的海洋动物，它们表现出广泛的迁移，以及在它们聚集觅食、社交、交配或产犊的区域的高度现场保真度。它们生活的海洋环境具有复杂的时空异质性。鲸目动物在不同尺度上对这种动态空间结构作出反应，这可以通过它们的空间使用模式来表示（肯尼等人，2001年;鲍姆加特纳和马特，2005年）。空间利用模式提供了关于鲸目动物分布的重要信息，资源管理人员需要这些模式来制定有针对性的养护政策和资源管理战略。尽管有这一迫切需要，但世界上许多地区并不存在充分的、空间上明确的数据集。通常，负责保护濒危或受威胁鲸目动物的资源管理人员不得不依赖于空间和时间上都稀疏的数据集。为了填补这些知识空白，资源管理人员迫切需要在生态和业务相关尺度上获得关于鲸目动物物种分布和物种-环境关系的定量、空间明确数据。
Cetaceans are large bodied, long-lived and highly mobile marine animals that exhibit extensive migrations, as well as, high site fidelity in areas where they aggregate for feeding, socializing, mating or calving. The marine environment in which they live is characterized by complex spatial and temporal heterogeneity. Cetaceans respond to this dynamic spatial structure at a range of scales, as denoted by their space-use patterns (Kenney et al. 2001; Baumgartner & Mate 2005). Space-use patterns provide important information about distributions of cetaceans and resource managers need these patterns to develop targeted conservation policies and resource management strategies. Despite this urgent need, adequate, spatially-explicit datasets do not exist for many regions of the world. Often resource managers that are charged with protecting endangered or threatened cetaceans have to rely on datasets that are sparse in both space and time. In order to address these knowledge gaps, resource managers urgently require quantitative, spatially explicit data on cetacean species distributions and species—environment relationships at ecologically and operationally relevant scales.