Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511;
Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269.
Proc Natl Acad Sci U S A. 2017 Apr 18;114(16):E3276-E3284. doi: 10.1073/pnas.1609633114. Epub 2017 Mar 27.
Forecasting ecological responses to climate change, invasion, and their interaction must rely on understanding underlying mechanisms. However, such forecasts require extrapolation into new locations and environments. We linked demography and environment using experimental biogeography to forecast invasive and native species' potential ranges under present and future climate in New England, United States to overcome issues of extrapolation in novel environments. We studied two potentially nonequilibrium invasive plants' distributions, (garlic mustard) and (Japanese barberry), each paired with their native ecological analogs to better understand demographic drivers of invasions. Our models predict that climate change will considerably reduce establishment of a currently prolific invader () throughout New England driven by poor demographic performance in warmer climates. In contrast, invasion of will be facilitated because of higher growth and germination in warmer climates, with higher likelihood to establish farther north and in closed canopy habitats in the south. Invasion success is in high fecundity for both invasive species and demographic compensation for relative to native analogs. For , simulations suggest that eradication efforts would require unrealistic efficiency; hence, management should focus on inhibiting spread into colder, currently unoccupied areas, understanding source-sink dynamics, and understanding community dynamics should (which is allelopathic) decline. Our results-based on considerable differences with correlative occurrence models typically used for such biogeographic forecasts-suggest the urgency of incorporating mechanism into range forecasting and invasion management to understand how climate change may alter current invasion patterns.
预测气候变化、入侵及其相互作用对生态系统的影响,必须依赖于对潜在机制的理解。然而,这种预测需要将结果外推到新的地点和环境中。为了克服在新环境中进行外推的问题,我们使用实验生物地理学将生物的种群动态和环境联系起来,以预测美国新英格兰地区现有和未来气候条件下入侵种和本地种的潜在分布范围。我们研究了两种潜在的非平衡入侵植物的分布情况,(大蒜芥)和(日本小檗),每个种都与它们的本地生态模拟种配对,以更好地了解入侵的人口统计学驱动因素。我们的模型预测,气候变化将极大地减少目前在新英格兰地区繁殖力强的入侵种()的建立,这主要是由于其在温暖气候下较差的种群表现。相比之下,入侵()将得到促进,因为在温暖的气候下,其生长和发芽率更高,在更北的地区和南部的封闭树冠栖息地建立的可能性更大。入侵种的入侵成功与其高繁殖力和相对于本地模拟种的人口统计学补偿有关。对于(),模拟表明,根除工作需要不切实际的效率;因此,管理应侧重于抑制其向较冷、目前未被占据的地区扩散,了解源汇动态,并理解(具有化感作用)的群落动态可能会下降。我们的研究结果与通常用于此类生物地理预测的相关性出现模型有很大差异,这表明迫切需要将机制纳入范围预测和入侵管理中,以了解气候变化可能如何改变当前的入侵模式。