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Differing, multiscale landscape effects on genetic diversity and differentiation in eastern chipmunks
Heredity ( IF 3.8 ) Pub Date : 2020-01-09 , DOI: 10.1038/s41437-020-0293-0 Elizabeth M Kierepka 1 , Sara J Anderson 2 , Robert K Swihart 3 , Olin E Rhodes 4
Heredity ( IF 3.8 ) Pub Date : 2020-01-09 , DOI: 10.1038/s41437-020-0293-0 Elizabeth M Kierepka 1 , Sara J Anderson 2 , Robert K Swihart 3 , Olin E Rhodes 4
Affiliation
Understanding how habitat loss and fragmentation impact genetic variation is a major goal in landscape genetics, but to date, most studies have focused solely on the correlation between intervening matrix and genetic differentiation at a single spatial scale. Several caveats exist in these study designs, among them is the inability to include measures of genetic diversity in addition to differentiation. Both genetic metrics help predict population persistence, but are expected to function at differing spatial scales, which requires a multiscale investigation. In this study, we sampled two distinct spatial scales in 31 independent landscapes along a gradient of landscape context (i.e., forest amount, configuration, and types of intervening matrix) to investigate how landscape heterogeneity influences genetic diversity and differentiation in the forest-associated eastern chipmunk ( Tamias striatus ). Overall, quality of intervening matrix was correlated with genetic differentiation at multiple spatial scales, whereas only configuration was associated with regional scale genetic diversity. Habitat amount, in contrast, did not influence genetic differentiation or diversity at either spatial scale. Based on our findings, landscape effects on genetic variation appears to differ based on spatial scale, the type of genetic response variable, and random variation among landscapes, making extrapolation of results from single scale, unreplicated studies difficult. We encourage landscape geneticists to utilize multiscale, replicated landscapes with both genetic diversity, and differentiation to gain a more comprehensive understanding of how habitat loss and fragmentation influence genetic variation.
中文翻译:
不同的多尺度景观对东部花栗鼠遗传多样性和分化的影响
了解栖息地丧失和破碎如何影响遗传变异是景观遗传学的一个主要目标,但迄今为止,大多数研究仅关注单一空间尺度上干预矩阵与遗传分化之间的相关性。这些研究设计中存在一些警告,其中包括除了分化之外无法包括遗传多样性的措施。这两种遗传指标都有助于预测种群的持久性,但预计会在不同的空间尺度上发挥作用,这需要进行多尺度调查。在这项研究中,我们沿着景观背景的梯度(即森林数量、配置、和干预矩阵的类型)以研究景观异质性如何影响与森林相关的东部花栗鼠( Tamias striatus )的遗传多样性和分化。总体而言,干预矩阵的质量与多个空间尺度的遗传分化相关,而仅配置与区域尺度遗传多样性相关。相反,栖息地数量不影响任一空间尺度的遗传分化或多样性。根据我们的发现,景观对遗传变异的影响似乎因空间尺度、遗传响应变量的类型和景观之间的随机变化而异,这使得从单一尺度、非重复研究中推断结果变得困难。我们鼓励景观遗传学家利用多尺度、
更新日期:2020-01-09
中文翻译:
不同的多尺度景观对东部花栗鼠遗传多样性和分化的影响
了解栖息地丧失和破碎如何影响遗传变异是景观遗传学的一个主要目标,但迄今为止,大多数研究仅关注单一空间尺度上干预矩阵与遗传分化之间的相关性。这些研究设计中存在一些警告,其中包括除了分化之外无法包括遗传多样性的措施。这两种遗传指标都有助于预测种群的持久性,但预计会在不同的空间尺度上发挥作用,这需要进行多尺度调查。在这项研究中,我们沿着景观背景的梯度(即森林数量、配置、和干预矩阵的类型)以研究景观异质性如何影响与森林相关的东部花栗鼠( Tamias striatus )的遗传多样性和分化。总体而言,干预矩阵的质量与多个空间尺度的遗传分化相关,而仅配置与区域尺度遗传多样性相关。相反,栖息地数量不影响任一空间尺度的遗传分化或多样性。根据我们的发现,景观对遗传变异的影响似乎因空间尺度、遗传响应变量的类型和景观之间的随机变化而异,这使得从单一尺度、非重复研究中推断结果变得困难。我们鼓励景观遗传学家利用多尺度、