Graduate School of Oceanography, University of Rhode Island, South Ferry Road, Narragansett, RI 02882, USA.
Environ Manage. 2010 Apr;45(4):793-806. doi: 10.1007/s00267-010-9430-5. Epub 2010 Jan 30.
Creating a habitat classification and mapping system for marine and coastal ecosystems is a daunting challenge due to the complex array of habitats that shift on various spatial and temporal scales. To meet this challenge, several countries have, or are developing, national classification systems and mapping protocols for marine habitats. To be effectively applied by scientists and managers it is essential that classification systems be comprehensive and incorporate pertinent physical, geological, biological, and anthropogenic habitat characteristics. Current systems tend to provide over-simplified conceptual structures that do not capture biological habitat complexity, marginalize anthropogenic features, and remain largely untested at finer scales. We propose a multi-scale hierarchical framework with a particular focus on finer scale habitat classification levels and conceptual schematics to guide habitat studies and management decisions. A case study using published data is included to compare the proposed framework with existing schemes. The example demonstrates how the proposed framework's inclusion of user-defined variables, a combined top-down and bottom-up approach, and multi-scale hierarchical organization can facilitate examination of marine habitats and inform management decisions.
由于各种生境在不同的时空尺度上发生变化,因此为海洋和沿海生态系统创建生境分类和制图系统是一项艰巨的挑战。为了应对这一挑战,一些国家已经或正在开发用于海洋生境的国家分类系统和制图协议。为了使科学家和管理者能够有效地应用,分类系统必须全面,并纳入相关的物理、地质、生物和人为生境特征。当前的系统往往提供过于简化的概念结构,无法捕捉生物生境的复杂性,边缘化人为特征,并且在较小的尺度上基本上未经测试。我们提出了一个多尺度层次框架,特别关注更精细的生境分类层次和概念示意图,以指导生境研究和管理决策。本文使用已发表的数据进行了案例研究,以将提出的框架与现有方案进行比较。该示例演示了如何通过纳入用户定义的变量、自上而下和自下而上相结合的方法以及多尺度层次结构组织,来促进对海洋生境的检查并为管理决策提供信息。