Department of Biology, Center for Conservation Biology, University of California Riverside, Riverside, California, United States of America.
PLoS One. 2012;7(5):e36391. doi: 10.1371/journal.pone.0036391. Epub 2012 May 18.
A species' response to climate change depends on the interaction of biotic and abiotic factors that define future habitat suitability and species' ability to migrate or adapt. The interactive effects of processes such as fire, dispersal, and predation have not been thoroughly addressed in the climate change literature. Our objective was to examine how life history traits, short-term global change perturbations, and long-term climate change interact to affect the likely persistence of an oak species--Quercus engelmannii (Engelmann oak). Specifically, we combined dynamic species distribution models, which predict suitable habitat, with stochastic, stage-based metapopulation models, which project population trajectories, to evaluate the effects of three global change factors--climate change, land use change, and altered fire frequency--emphasizing the roles of dispersal and seed predation. Our model predicted dramatic reduction in Q. engelmannii abundance, especially under drier climates and increased fire frequency. When masting lowers seed predation rates, decreased masting frequency leads to large abundance decreases. Current rates of dispersal are not likely to prevent these effects, although increased dispersal could mitigate population declines. The results suggest that habitat suitability predictions by themselves may under-estimate the impact of climate change for other species and locations.
物种对气候变化的响应取决于生物和非生物因素的相互作用,这些因素决定了未来的栖息地适宜性和物种迁移或适应的能力。在气候变化文献中,尚未彻底解决火灾、扩散和捕食等过程的相互作用影响。我们的目标是研究生活史特征、短期全球变化干扰和长期气候变化如何相互作用,以影响一种橡树物种——Quercus engelmannii(Engelmann 橡树)的可能生存。具体来说,我们将预测适宜栖息地的动态物种分布模型与预测种群轨迹的基于阶段的随机化复合种群模型相结合,以评估三种全球变化因素(气候变化、土地利用变化和改变的火灾频率)的影响——强调扩散和种子捕食的作用。我们的模型预测 Q. engelmannii 的数量会大幅减少,特别是在气候干燥和火灾频率增加的情况下。当结实期降低种子捕食率时,结实频率降低会导致数量大幅减少。尽管增加扩散可能会减轻种群减少的影响,但目前的扩散速度不太可能阻止这些影响。研究结果表明,仅根据栖息地适宜性预测可能会低估气候变化对其他物种和地点的影响。