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Disparities between observed and predicted impacts of climate change on winter bird assemblages

机译:气候变化对冬季鸟类组成的影响的观测值与预测值之间的差异

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摘要

Understanding how climate change affects the structure and function of communities is critical for gauging its full impact on biodiversity. To date, community-level changes have been poorly documented, owing, in part, to the paucity of long-term datasets. To circumvent this, the use of ‘space-for-time’ substitution—the forecasting of temporal trends from spatial climatic gradients—has increasingly been adopted, often with little empirical support. Here we examine changes from 1975 to 2001 in three community attributes (species richness, body mass and occupancy) for 404 assemblages of terrestrial winter avifauna in North America containing a total of 227 species. We examine the accuracy of space-for-time substitution and assess causal associations between community attributes and observed changes in annual temperature using a longitudinal study design. Annual temperature and all three community attributes increased over time. The trends for the three community attributes differed significantly from the spatially derived predictions, although richness showed broad congruence. Correlations with trends in temperature were found with richness and body mass. In the face of rapid climate change, applying space-for-time substitution as a predictive tool could be problematic with communities developing patterns not reflected by spatial ecological associations.
机译:了解气候变化如何影响社区的结构和功能对于衡量其对生物多样性的全面影响至关重要。迄今为止,由于长期数据集的匮乏,社区级的变化记录得很少。为了避免这种情况,越来越多地采用“时空”替代方法(即根据空间气候梯度预测时间趋势),但往往缺乏经验支持。在这里,我们研究了1975年至2001年北美共227种404种陆生冬季鸟类的三个群落属性(物种丰富度,体重和占有率)的变化。我们研究了时空替代的准确性,并使用纵向研究设计评估了社区属性与观测到的年温度变化之间的因果关系。年度温度和所有三个社区属性都随时间增加。尽管丰富度显示出广泛的一致性,但三个社区属性的趋势与空间推论的预测有显着差异。发现与温度趋势的相关性与丰富度和体重有关。面对迅速的气候变化,将时空替代作为一种预测工具,对于社区发展没有空间生态联系反映的格局可能会遇到问题。

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