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The application of physical surrogates to predict the distribution of marine benthic organisms

机译:物理替代物在预测海洋底栖生物分布中的应用

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摘要

The identification of marine habitats based on physical parameters is increasingly important for marine reserve design, allowing characterisation of habitat types over much wider areas than is possible from often patchy biological data. Marine management zones often contain a wide array of physical environments, which may not be captured in the biological sampling effort. The mismatch between biological and physical information leads to uncertainty in the application of bio-physical relationships at the broader management scale. In this study, a case study from northern Australia is used to demonstrate a methodology for defining uncertainties which result from the extrapolation of bio-physical associations across areas where detailed biological data is absent. In addition, uncertainties relating to the interpolation of physical data sets and that resulting from the cluster analysis applied to the physical data are calculated and mapped, providing marine managers with greater robustness in their analysis of habitat distributions.
机译:基于物理参数的海洋生境识别对于海洋保护区设计越来越重要,与通常不完整的生物学数据相比,允许在更大范围的区域内表征生境类型。海洋管理区通常包含各种各样的物理环境,在生物采样工作中可能无法捕获这些物理环境。生物信息与物理信息之间的不匹配导致在更广泛的管理规模上应用生物物理关系存在不确定性。在这项研究中,使用了澳大利亚北部的一个案例研究来演示一种方法,该方法用于定义不确定性,该不确定性是由于缺乏详细生物学数据的地区之间的生物物理关联性外推而产生的。此外,还对与物理数据集插值相关的不确定性以及对物理数据进行聚类分析得出的不确定性进行了计算和绘图,为海洋管理者提供了更强大的生境分布分析能力。

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