Currently the application of geographic information systems in the subjects of biology and ecology has facilitated the study patterns of distribution, richness and diversity of species. However, in freshwater ecosystems the application of geostatistical analysis are scarcely used in the worldwide, including Chile. Therefore, in our study we developed predictive maps using simple Kriging (resolution 12.5 x 12.5 m), based on richness and Shannon-Weaver diversity, and we analyzed spatial autocorrelation of fish assemblages (Moran and Getis-Ord index) present in the Andalién River basin. Our results established a fish assemblage composition of 24 species, most of them native (79%) and with endanger conservation status. Predictive maps showed highest values of richness and diversity of fish species in the potamon zone of the Andalién and Nonguén streams, while the low values were described in the Chaimavida subbasin and the transition zone of Andalién River. The Moran and Getis-Ord index determined a cluster pattern of the data and define hotspot and coldspot zones, concordant with the predictive maps of richness and Shannon-Weaver diversity. The geostatistical and spatial techniques showed to be relevant tools for the determination of distribution patterns of freshwater species and conservation issues. A cc ep te d A rti cl e

中文翻译：

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利用地统计技术预测智利中南部沿海盆地鱼类群落的空间分布格局和热点

目前地理信息系统在生物学和生态学学科中的应用促进了物种分布、丰富度和多样性的研究。然而，在淡水生态系统中，地统计分析的应用在世界范围内几乎没有使用，包括智利。因此，在我们的研究中，我们使用简单克里金法（分辨率 12.5 x 12.5 m）根据丰富度和香农-韦弗多样性开发了预测地图，我们分析了安达利恩河中鱼类组合（Moran 和 Getis-Ord 指数）的空间自相关盆地。我们的结果确定了 24 个物种的鱼类组合组成，其中大多数是本地物种（79%）并且处于濒危保护状态。预测图显示安达利恩河和农根河的波塔蒙区鱼类物种丰富度和多样性的最高值，而查伊马维达子流域和安达利恩河的过渡带则描述了较低的值。Moran 和 Getis-Ord 指数确定了数据的聚类模式并定义了热点和冷点区域，与丰富度和香农-韦弗多样性的预测图一致。地统计和空间技术显示出是确定淡水物种分布模式和保护问题的相关工具。接受条款 与丰富度和香农-韦弗多样性的预测图一致。地统计和空间技术显示出是确定淡水物种分布模式和保护问题的相关工具。接受条款 与丰富度和香农-韦弗多样性的预测图一致。地统计和空间技术显示出是确定淡水物种分布模式和保护问题的相关工具。接受条款