量化种群对气候变异的抵抗力:加利福尼亚入侵的斑灯蝇葡萄害虫对极端温度的缓冲作用

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Stephanie M. Lewkiewicz , Benjamin Seibold , Matthew R. Helmus
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引用次数: 0

摘要

温度时间序列数据由平均趋势和随机变异性组成,它们共同影响着种群动态。然而,依赖温度的物种模型往往忽略了变异性,只关注平均条件下的增长率。当模型忽略了变异性时,它们就会不准确地预测对温度波动敏感的入侵害虫的建立所依赖的动态。在这里,我们对斑灯蝇(Lycorma delicatula)进行了随机建模研究,斑灯蝇是一种单伏性葡萄害虫,由于人类的迁移而入侵美国东部的葡萄种植区,导致在城市和郊区频繁建立种群。随着斑灯蝇不断迁移到新的葡萄种植区,气候变化也改变了其变异性,因此预测其建立种群的可能性至关重要。虽然斑灯蝇以滞育卵越冬,但实验表明,滞育是可塑的,并非生存所必需。我们开发了一个确定性阶段-阶段-结构偏微分方程模型,用于计算休眠和非休眠种群。我们得出了一个新的指标来量化种群对气候变异的抵抗力,即与平均条件相比导致负增长的随机性水平。我们模拟了一系列平均温度条件和随机性下的增长率和抗变异性。然后,我们分析了变异性和休眠如何与存活率、繁殖力和发育相互作用,从而影响种群动态。最后,我们估算了美国所有城市的建群潜力。滞育种群通常比非滞育种群更具抵抗力,因为在冬季寒潮期间,滞育提高了越冬卵的存活率,而在夏季和秋季热潮期间,滞育允许加速发育并提高繁殖力。在加利福尼亚的重要葡萄种植区,如果滞育种群模型忽略了变异性,那么其建立潜力就会被低估。通过量化种群对气候变异的抵抗力,我们可以更全面地了解入侵物种在当今随机和不断变化的气候中的建立情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying population resistance to climatic variability: The invasive spotted lanternfly grape pest is buffered against temperature extremes in California

Temperature time series data are a composition of average trends and stochastic variability that together shape population dynamics. However, models of temperature-dependent species often overlook variability, focusing solely on growth rates under average conditions. When models omit variability, they can inaccurately predict the dynamics that underlie the establishment of invasive pests sensitive to temperature fluctuations. Here, we conduct a stochastic modeling study of the spotted lanternfly (Lycorma delicatula), a univoltine grape pest, which has invaded grape growing regions of the eastern U.S. due to human transport, leading to frequent establishment of populations in urban and suburban areas. As the spotted lanternfly continues to be transported to new grape growing regions and climate change alters variability, it is vital to predict its establishment potential. Although it overwinters as diapausing eggs, experiments suggest that diapause is plastic and not necessary for survival. We developed a deterministic stage-age-structured partial differential equation model of diapausing and non-diapausing populations. We derived a new metric quantifying population resistance to climatic variability defined as the level of stochasticity that leads to negative growth compared to average conditions. We simulated growth rates and resistance to variability across a range of average temperature conditions and stochasticity. We then analyzed how variability and diapause interact with survival, fecundity, and development to affect population dynamics. Finally, we estimated establishment potential across all U.S. cities. Diapausing populations were typically more resistant than non-diapausing populations because diapause enhances overwintering egg survival during winter cold waves, while allowing accelerated development and increased fecundity during summer and fall heat waves. Establishment potential is especially underestimated in important grape growing regions of California if models of diapausing populations omit variability. By quantifying population resistance to climatic variability, we gain a fuller understanding of invasive species establishment in today's stochastic and changing climate.

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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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