Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, 48824, USA.
Center for Statistical Training and Consulting, Michigan State University, East Lansing, MI, 48824, USA.
Glob Chang Biol. 2015 Aug;21(8):2942-53. doi: 10.1111/gcb.12885. Epub 2015 Apr 9.
Forecasting the consequences of climate change is contingent upon our understanding of the relationship between biodiversity patterns and climatic variability. While the impacts of climate change on individual species have been well-documented, there is a paucity of studies on climate-mediated changes in community dynamics. Our objectives were to investigate the relationship between temporal turnover in avian biodiversity and changes in climatic conditions and to assess the role of landscape fragmentation in affecting this relationship. We hypothesized that community turnover would be highest in regions experiencing the most pronounced changes in climate and that these patterns would be reduced in human-dominated landscapes. To test this hypothesis, we quantified temporal turnover in avian communities over a 20-year period using data from the New York State Breeding Atlases collected during 1980-1985 and 2000-2005. We applied Bayesian spatially varying intercept models to evaluate the relationship between temporal turnover and temporal trends in climatic conditions and landscape fragmentation. We found that models including interaction terms between climate change and landscape fragmentation were superior to models without the interaction terms, suggesting that the relationship between avian community turnover and changes in climatic conditions was affected by the level of landscape fragmentation. Specifically, we found weaker associations between temporal turnover and climatic change in regions with prevalent habitat fragmentation. We suggest that avian communities in fragmented landscapes are more robust to climate change than communities found in contiguous habitats because they are comprised of species with wider thermal niches and thus are less susceptible to shifts in climatic variability. We conclude that highly fragmented regions are likely to undergo less pronounced changes in composition and structure of faunal communities as a result of climate change, whereas those changes are likely to be greater in contiguous and unfragmented habitats.
预测气候变化的后果取决于我们对生物多样性模式与气候可变性之间关系的理解。虽然气候变化对个别物种的影响已经得到很好的记录,但关于气候介导的群落动态变化的研究却很少。我们的目标是调查鸟类生物多样性的时间变化与气候条件变化之间的关系,并评估景观破碎化在影响这种关系中的作用。我们假设,在经历气候变化最显著的地区,群落周转率将最高,而在人类主导的景观中,这些模式将减少。为了验证这一假设,我们使用了 1980-1985 年和 2000-2005 年期间收集的纽约州繁殖图集的数据,在 20 年内量化了鸟类群落的时间变化。我们应用贝叶斯时空变截距模型来评估时间变化与气候条件和景观破碎化的时间趋势之间的关系。我们发现,包括气候变化和景观破碎化之间相互作用项的模型比没有相互作用项的模型更优越,这表明鸟类群落周转率与气候条件变化之间的关系受到景观破碎化程度的影响。具体来说,我们发现,在普遍存在生境破碎化的地区,时间变化与气候变化之间的关联较弱。我们认为,与在连续生境中发现的群落相比,破碎化景观中的鸟类群落对气候变化更具弹性,因为它们由具有更宽热生态位的物种组成,因此对气候变异性的变化不太敏感。我们的结论是,由于气候变化,高度破碎化的地区的动物群落的组成和结构变化可能不太明显,而在连续和未破碎化的生境中,这些变化可能更大。