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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Circuit theory predicts gene flow in plant and animal populations
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Circuit theory predicts gene flow in plant and animal populations

机译：回路理论预测植物和动物种群中的基因流动

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摘要

Maintaining connectivity for broad-scale ecological processes like dispersal and gene flow is essential for conserving endangered species in fragmented landscapes. However, determining which habitats should be set aside to promote connectivity has been difficult because existing models cannot incorporate effects of multiple pathways linking populations. Here, we test an ecological connectivity model that overcomes this obstacle by borrowing from electrical circuit theory. The model vastly improves gene flow predictions because it simultaneously integrates all possible pathways connecting populations. When applied to data from threatened mammal and tree species, the model consistently outperformed conventional gene flow models, revealing that barriers were less important in structuring populations than previously thought. Circuit theory now provides the best-justified method to bridge landscape and genetic data, and holds much promise in ecology, evolution, and conservation planning.
机译：维持分散性和基因流等大规模生态过程的连通性对于保护零散景观中的濒危物种至关重要。但是，由于现有模型无法将连接种群的多种途径的影响纳入考虑范围，因此很难确定应该留出哪些栖息地来促进连通性。在这里，我们测试了一种生态连通性模型，该模型通过借鉴电路理论克服了这一障碍。该模型极大地改善了基因流的预测，因为它同时整合了连接种群的所有可能途径。当将其用于濒临灭绝的哺乳动物和树木物种的数据时，该模型始终优于传统的基因流模型，这表明障碍在构造种群方面比以前认为的重要。电路理论现在提供了桥接景观和遗传数据的最合理的方法，并且在生态，进化和保护规划方面具有广阔的前景。

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