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An ecological classification of rocky shores at a regional scale: a predictive tool for management of conservation values

机译：区域范围内岩质海岸的生态分类：管理保护价值的预测工具

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The ecological classification of coastal waters has become an important issue in ecosystem water quality assessment. Previous studies have suggested that abiotic variables seem to be a suitable alternative to biological data for classifying coastal areas at different scales. The study presented here proposes a downscaling methodology for the classification of coastal waters at a regional scale within the NE Atlantic based on standardized data and objective decision rules. Physical variables (temperature, wave exposure, tidal range and radiation) were selected because of their ecological role, availability and statistical decision rules. This information was based on satellite data and mathematical modelling of natural coastal processes. The N and NW Spanish coastline was subdivided into 41 20-km segments that were classified according to physical variables using the self-organizing map and k-means algorithms. To validate the classification with biological data, 21 sites representing the entire range of physical typologies in the study area were simultaneously and consistently sampled. Intertidal macroalgae were identified in each of 10 quadrats of 50×50cm for two to three transects per site, according to a stratified sampling procedure. The coverage of macroalgae was obtained by photographic analysis. The physical classification shows four typologies: Lower Rias, Upper Rias, West Cantabric and East Cantabric. Statistical analyses confirmed the ecological significance of these typologies at the tidal levels where seaweeds were the major structural element (lower and middle intertidal). According to the biological data, the greatest differences were found between the Upper Rias and the rest of the N and NW Iberian Peninsula coast. Thus, the classification methodology has potential application as a management tool.
机译：沿海水域的生态分类已成为生态系统水质评估中的重要问题。先前的研究表明，非生物变量似乎是生物学数据的合适替代品，可用于对不同规模的沿海地区进行分类。本文提出的研究提出了一种基于标准化数据和客观决策规则的降尺度方法，用于在大西洋东北部区域范围内对沿海水域进行分类。选择物理变量（温度，波浪暴露，潮汐范围和辐射）是因为它们具有生态作用，可用性和统计决策规则。该信息基于卫星数据和自然沿海过程的数学模型。西班牙北部和西北部海岸线被细分为41个20公里，使用自组织图和k-均值算法根据物理变量进行分类。为了用生物学数据验证分类，同时并一致地对代表研究区域内整个物理类型范围的21个站点进行了采样。根据分层抽样程序，在10×50×50cm的四方动物中，每个地点有2至3个样点，确定了潮间带大型藻类。通过照相分析获得大藻类的覆盖率。物理分类显示了四种类型：下里亚斯，上里亚斯，西坎塔比克和东坎塔比克。统计分析证实了这些类型在海藻为主要结构要素（潮间带中下部）的潮汐水平上的生态学意义。根据生物学数据，在上部里亚斯河与西北和西北伊比利亚半岛海岸的其余部分之间发现了最大的差异。因此，分类方法具有作为管理工具的潜在应用。

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