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Environmental gradients mediate dispersal evolution during biological invasions
Ecology Letters ( IF 7.6 ) Pub Date : 2024-07-16 , DOI: 10.1111/ele.14472 John W Benning 1 , Eliza I Clark 2 , Ruth A Hufbauer 2 , Christopher Weiss-Lehman 1
Ecology Letters ( IF 7.6 ) Pub Date : 2024-07-16 , DOI: 10.1111/ele.14472 John W Benning 1 , Eliza I Clark 2 , Ruth A Hufbauer 2 , Christopher Weiss-Lehman 1
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Rapid evolution of increased dispersal at the edge of a range expansion can accelerate invasions. However, populations expanding across environmental gradients often face challenging environments that reduce fitness of dispersing individuals. We used an eco‐evolutionary model to explore how environmental gradients influence dispersal evolution and, in turn, modulate the speed and predictability of invasion. Environmental gradients opposed evolution of increased dispersal during invasion, even leading to evolution of reduced dispersal along steeper gradients. Counterintuitively, reduced dispersal could allow for faster expansion by minimizing maladaptive gene flow and facilitating adaptation. While dispersal evolution across homogenous landscapes increased both the mean and variance of expansion speed, these increases were greatly dampened by environmental gradients. We illustrate our model's potential application to prediction and management of invasions by parameterizing it with data from a recent invertebrate range expansion. Overall, we find that environmental gradients strongly modulate the effect of dispersal evolution on invasion trajectories.
中文翻译：
环境梯度介导生物入侵期间的扩散进化
在范围扩张边缘增加扩散的快速进化可以加速入侵。然而，跨环境梯度扩张的种群常常面临充满挑战的环境，从而降低分散个体的适应性。我们使用生态进化模型来探索环境梯度如何影响扩散进化，进而调节入侵的速度和可预测性。环境梯度反对入侵过程中扩散增加的进化，甚至导致沿着更陡峭的梯度减少扩散的进化。与直觉相反，减少扩散可以通过最大限度地减少适应不良的基因流并促进适应来实现更快的扩张。虽然同质景观中的扩散进化增加了扩张速度的均值和方差，但这些增加却被环境梯度大大抑制。我们通过使用最近无脊椎动物分布范围扩展的数据对其进行参数化，说明了我们的模型在预测和管理入侵方面的潜在应用。总的来说，我们发现环境梯度强烈调节扩散进化对入侵轨迹的影响。
更新日期：2024-07-16
中文翻译：
环境梯度介导生物入侵期间的扩散进化
在范围扩张边缘增加扩散的快速进化可以加速入侵。然而，跨环境梯度扩张的种群常常面临充满挑战的环境，从而降低分散个体的适应性。我们使用生态进化模型来探索环境梯度如何影响扩散进化，进而调节入侵的速度和可预测性。环境梯度反对入侵过程中扩散增加的进化，甚至导致沿着更陡峭的梯度减少扩散的进化。与直觉相反，减少扩散可以通过最大限度地减少适应不良的基因流并促进适应来实现更快的扩张。虽然同质景观中的扩散进化增加了扩张速度的均值和方差，但这些增加却被环境梯度大大抑制。我们通过使用最近无脊椎动物分布范围扩展的数据对其进行参数化，说明了我们的模型在预测和管理入侵方面的潜在应用。总的来说，我们发现环境梯度强烈调节扩散进化对入侵轨迹的影响。
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