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首页> 外文期刊>Frontiers in Genetics >Alternative Quantifications of Landscape Complementation to Model Gene Flow in Banded Longhorn Beetles [ Typocerus v. velutinus (Olivier)]
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Alternative Quantifications of Landscape Complementation to Model Gene Flow in Banded Longhorn Beetles [ Typocerus v. velutinus (Olivier)]

机译:带状长角甲虫甲虫模型基因流动的替代量化[ typocerus v.velutinus (olivier)]

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Rapid progression of human socio-economic activities has altered the structure and function of natural landscapes. Species that rely on multiple, complementary habitat types (i.e., landscape complementation) to complete their life cycle may be especially at risk. However, such landscape complementation has received little attention in the context of landscape connectivity modeling. A previous study on flower longhorn beetles ( Cerambycidae : Lepturinae ) integrated landscape complementation into a continuous habitat suitability ‘surface’, which was then used to quantify landscape connectivity between pairs of sampling sites using gradient-surface metrics. This connectivity model was validated with molecular genetic data collected for the banded longhorn beetle ( Typocerus v. velutinus ) in Indiana, United States. However, this approach has not been compared to alternative models in a landscape genetics context. Here, we used a discrete land use/land cover map to calculate landscape metrics related to landscape complementation based on a patch mosaic model (PMM) as an alternative to the previously published, continuous habitat suitability model (HSM). We evaluated the HSM surface with gradient surface metrics (GSM) and with two resistance-based models (RBM) based on least cost path (LCP) and commute distance (CD), in addition to an isolation-by-distance (IBD) model based on Euclidean distance. We compared the ability of these competing models of connectivity to explain pairwise genetic distances ( R _(ST)) previously calculated from ten microsatellite genotypes of 454 beetles collected from 17 sites across Indiana, United States. Model selection with maximum likelihood population effects (MLPE) models found that GSM were most effective at explaining pairwise genetic distances as a proxy for gene flow across the landscape, followed by the landscape metrics calculated from the PMM, whereas the LCP model performed worse than both the CD and the isolation by distance model. We argue that the analysis of a continuous HSM with GSM might perform better because of their combined ability to effectively represent and quantify the continuous degree of landscape complementation (i.e., availability of complementary habitats in vicinity) found at and in-between sites, on which these beetles depend. Our findings may inform future studies that seek to model habitat connectivity in complex heterogeneous landscapes as natural habitats continue to become more fragmented in the Anthropocene.
机译:人类社会经济活动的快速发展改变了自然景观的结构和功能。依赖于多个互补栖息地类型(即景观互补)来完成其生命周期的物种可能尤其存在风险。然而,这种景观互补在景观连接建模的背景下已经很少受到关注。前一篇关于花长角甲虫(Cerambycidae:Lepturinae)的研究综合景观互补成持续栖息地适合性“表面”,然后使用梯度表面度量来量化成对的采样位点之间的景观连通性。该连接模型验证了为美国印第安纳州印第安纳州的带状长角甲虫(Typocerus v.Velutinus)收集的分子遗传数据。然而,这种方法尚未将这种方法与景观遗传学背景中的替代模型进行比较。在这里,我们使用了离散的土地使用/陆地覆盖图来计算与贴片马赛克模型(PMM)的景观互补相关的景观度量,作为先前公布的连续栖息地适用性模型(HSM)的替代方案。除了逐距离(IBD)模型之外,我们评估了具有梯度表面度量(GSM)和基于两个电阻的模型(RBM)和通勤距离(CD)的HSM表面。基于欧几里德距离。我们比较了这些竞争模型的能力,以解释先前从印第安纳州印第安纳州的17个站点收集的454个甲虫的10个微卫星基因型计算的成对遗传距离(R _(ST))。模型选择具有最大可能性人口效应(MLPE)模型发现GSM最有效地解释成对遗传距离作为横跨景观的基因流的代理,然后由PMM计算的景观度量,而LCP模型比两者更差CD和距离模型隔离。我们认为,由于它们的综合能力和量化的景观互补程度(即附近的互补栖息地的互补栖息地的可用性)的综合能力,对GSM的连续HSM的分析可能更好这些甲虫依赖。我们的调查结果可能会通知未来的研究,以便在复杂的异质景观中建模栖息地连接,因为天然栖息地在人类方向上仍然变得更加碎片。

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