Center for Macroecology, Evolution and Climate, Department of Biology, University of Copenhagen, Universitetsparken 15, DK-2100, Copenhagen, Denmark.
Biodiversity and Climate Research Centre (BiK-F) and Senckenberg Gesellschaft für Naturforschung, Senckenberganlage 25, 60325, Frankfurt (Main), Germany.
Glob Chang Biol. 2016 Feb;22(2):530-43. doi: 10.1111/gcb.13097. Epub 2015 Oct 21.
Species attributes are commonly used to infer impacts of environmental change on multiyear species trends, e.g. decadal changes in population size. However, by themselves attributes are of limited value in global change attribution since they do not measure the changing environment. A broader foundation for attributing species responses to global change may be achieved by complementing an attributes-based approach by one estimating the relationship between repeated measures of organismal and environmental changes over short time scales. To assess the benefit of this multiscale perspective, we investigate the recent impact of multiple environmental changes on European farmland birds, here focusing on climate change and land use change. We analyze more than 800 time series from 18 countries spanning the past two decades. Analysis of long-term population growth rates documents simultaneous responses that can be attributed to both climate change and land-use change, including long-term increases in populations of hot-dwelling species and declines in long-distance migrants and farmland specialists. In contrast, analysis of annual growth rates yield novel insights into the potential mechanisms driving long-term climate induced change. In particular, we find that birds are affected by winter, spring, and summer conditions depending on the distinct breeding phenology that corresponds to their migratory strategy. Birds in general benefit from higher temperatures or higher primary productivity early on or in the peak of the breeding season with the largest effect sizes observed in cooler parts of species' climatic ranges. Our results document the potential of combining time scales and integrating both species attributes and environmental variables for global change attribution. We suggest such an approach will be of general use when high-resolution time series are available in large-scale biodiversity surveys.
物种属性通常被用来推断环境变化对多年物种趋势的影响,例如种群大小的十年变化。然而,由于它们不能衡量不断变化的环境,因此属性本身在全球变化归因中价值有限。通过补充一种估计短时间尺度上生物和环境变化的重复测量之间关系的方法,可以为将物种对全球变化的反应归因提供更广泛的基础。为了评估这种多尺度视角的益处,我们研究了多种环境变化对欧洲农田鸟类的近期影响,这里重点关注气候变化和土地利用变化。我们分析了来自 18 个国家的超过 800 条时间序列,跨越了过去二十年。对长期种群增长率的分析记录了可以归因于气候变化和土地利用变化的同时响应,包括对热栖物种种群的长期增加以及对长途迁徙者和农田专家的种群减少。相比之下,对年度增长率的分析为驱动长期气候诱导变化的潜在机制提供了新的见解。特别是,我们发现鸟类受到冬季、春季和夏季条件的影响,具体取决于与它们的迁徙策略相对应的独特繁殖物候。鸟类一般受益于早期或繁殖季节高峰期的较高温度或较高的初级生产力,在物种气候范围较冷的部分观察到最大的效应大小。我们的结果记录了结合时间尺度和整合物种属性和环境变量进行全球变化归因的潜力。我们建议,当大规模生物多样性调查中提供高分辨率时间序列时,这种方法将具有普遍适用性。