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首页> 外文期刊>Global change biology >A latitudinal gradient in climate effects on seabird demography: results from interspecific analyses
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A latitudinal gradient in climate effects on seabird demography: results from interspecific analyses

机译:气候变化对海鸟人口统计学的纬度梯度:种间分析的结果

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摘要

For an understanding of the effect of climate change on animal population dynamics, it is crucial to be able to identify which climatologic parameters affect which demographic rate, and what the underlying mechanistic links are. An important reason for why the interactions between demography and climate still are poorly understood is that the effects of climate vary both geographically and taxonomically. Here, we analyse interspecifically how different climate variables affect the breeding success of North Atlantic seabird species along latitudinal and longitudinal gradients. By approaching the problem comparatively, we are able to generalize across populations and species. We find a strong interactive effect of climate and latitude on breeding success. Of the climatic variables considered, local sea surface temperatures during the breeding season tend to be more relevant than the North Atlantic Oscillation (NAO). However, the effect of NAO on breeding success shows a clear geographic pattern, changing in sign from positive in the south to negative in the north. If this interaction is taken account of, the model explains more variation than any model with sea surface temperature. This superiority of the NAO index is due to its ability to capture effects of more than one season in a single parameter. Mechanistically, however, several lines of evidence suggest that sea surface temperature is the biologically most relevant explanatory variable.
机译:为了了解气候变化对动物种群动态的影响,至关重要的是能够确定哪些气候参数会影响哪些人口统计率以及潜在的机械联系。为何人们对人口与气候之间的相互作用仍然知之甚少的一个重要原因是,气候的影响在地理和分类上都不同。在这里,我们跨种地分析不同的气候变量如何沿纬度和纵向梯度影响北大西洋海鸟物种的繁殖成功。通过比较性地解决该问题,我们可以对种群和物种进行概括。我们发现气候和纬度对育种成功产生强烈的互动影响。在考虑的气候变量中,繁殖季节局部海表温度往往比北大西洋涛动(NAO)更相关。但是,NAO对育种成功的影响表现出明显的地理格局,标志从南部的正向变为北部的负向。如果考虑到这种相互作用,该模型将比任何具有海表温度的模型解释更多的变化。 NAO指数的优越性是因为它能够在单个参数中捕获一个以上季节的影响。从机械上讲,几条证据表明,海表温度是生物学上最相关的解释变量。

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