1. Effective management of marine resources requires an understanding of the spatial distribution of biologically important communities.
2. The north‐western Gulf of Mexico contains diverse marine ecosystems at a large range of depths and geographic settings. To better understand the distribution of these marine habitats across large geographic areas under consideration for marine sanctuary status, presence‐only predictive modelling was used.
3. Results confirmed that local geographic characteristics can accurately predict the probability of occurrence for marine habitat types, and include a novel technique for assigning a single, most likely habitat in areas where multiple habitats are predicted.
4. The highest resolution bathymetric data (10 m) available for the region was used to develop raster layers that represent characteristics that have been shown to influence species occurrence in other settings.
5. A georeferenced historical photo record collected via remotely operated vehicle was classified according to six commonly found mesophotic habitats across the 18 reefs and banks under consideration for Flower Garden Banks National Marine Sanctuary boundary expansion.
6. Using maximum entropy modelling, the influence of local geographic characteristics on the presence of these habitats was measured and a spatial probability distribution was developed for each habitat type across the study area.

中文翻译：

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墨西哥西北海湾中生生境生境的预测模型

1. 有效地管理海洋资源需要了解生物学重要社区的空间分布。
2. 墨西哥西北部海湾在大范围的深度和地理环境中包含着多样化的海洋生态系统。为了更好地了解考虑到海洋保护区状况的大型地理区域内这些海洋栖息地的分布，我们使用了仅存在预测模型。
3. 结果证实，当地的地理特征可以准确预测海洋生境类型发生的可能性，并且包括一种在预测有多个生境的区域中分配单个，最可能的生境的新技术。
4. 该区域可用的最高分辨率测深数据（10 m）用于开发表示某些特征的栅格图层，这些特征已显示出会影响其他环境中物种的发生。
5. 根据在18个礁石和河岸上常见的六个中生生境栖息地，对通过远程操作的车辆收集的地理参考历史照片记录进行了分类，并考虑将其用于花园花园国家海洋保护区的边界扩张。
6. 使用最大熵模型，测量了本地地理特征对这些生境的影响，并为研究区域内每种生境类型开发了空间概率分布。