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首页> 外文期刊>Landscape Ecology >Characterizing connectivity relationships in freshwaters using patch-based graphs. (Special Issue: Landscape connectivity analysis for conservation: insights from combining new methods with ecological and genetic data.)
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Characterizing connectivity relationships in freshwaters using patch-based graphs. (Special Issue: Landscape connectivity analysis for conservation: insights from combining new methods with ecological and genetic data.)

机译：使用基于补丁的图形表征淡水的连通性关系。 （特刊：用于保护的景观连通性分析：将新方法与生态和遗传数据相结合得出的见解。）

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摘要

Spatial graphs in landscape ecology and conservation have emerged recently as a powerful methodology to model patterns in the topology and connectivity of habitat patches (structural connectivity) and the movement of genes, individuals or populations among these patches (potential functional connectivity). Most spatial graph's applications to date have been in the terrestrial realm, whereas the use of spatially explicit graph-based methods in the freshwater sciences has lagged far behind. Although at first patch-based spatial graphs were not considered suitable for representing the branching network of riverine landscapes, here we argue that the application of graphs can be a useful tool for quantifying habitat connectivity of freshwater ecosystems. In this review we provide an overview of the potential of patch-based spatial graphs in freshwater ecology and conservation, and present a conceptual framework for the topological analysis of stream networks (i.e., riverscape graphs) from a hierarchical patch-based context. By highlighting the potential application of graph theory in freshwater sciences we hope to illustrate the generality of spatial network analyses in landscape ecology and conservation.
机译：景观生态学和保护学中的空间图最近成为一种强大的方法，可以用来模拟栖息地斑块的拓扑和连通性（结构连通性）以及这些斑块之间的基因，个体或种群的运动（潜在功能连通性）。迄今为止，大多数空间图的应用都在陆地领域，而在淡水科学中基于空间显式图的方法的使用却远远落后。尽管起初基于补丁的空间图不适合代表河流景观的分支网络，但在这里我们认为，图的应用可以作为量化淡水生态系统栖息地连通性的有用工具。在这篇综述中，我们提供了基于补丁的空间图在淡水生态和保护中的潜力的概述，并为基于分层补丁的环境中的河流网络（即河景图）的拓扑分析提供了概念框架。通过强调图论在淡水科学中的潜在应用，我们希望说明空间网络分析在景观生态学和保护中的一般性。

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