A latitudinal gradient in climate effects on seabird demography: results from interspecific analyses
A latitudinal gradient in climate effects on seabird demography: results from interspecific analyses
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DOI：
10.1111/j.1365-2486.2007.01533.x
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发表时间：
2008-04
影响因子：
11.6
通讯作者：
SÆTHER BE
中科院分区：
文献类型：
--
作者：
SANDVIK H;COULSON T;SÆTHER BE
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影响哪些种群率，以及潜在的机械联系是什么。人口和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有差异。在这里，我们分析种间如何不同的气候变量影响北大西洋海鸟物种的繁殖成功沿着纬度和经度梯度。通过比较，我们能够概括整个种群和物种。我们发现了一个强大的气候和纬度的相互作用对育种成功。在考虑的气候变量中，繁殖季节的当地海面温度往往比北大西洋涛动（NAO）更相关。然而，NAO对繁殖成功的影响表现出明显的地理模式，从南部的正向变化到北部的负向。如果考虑到这种相互作用，该模型比任何海表温度模型都能解释更多的变化。NAO指数的这种优越性是由于它能够在一个参数中捕获多个季节的影响。然而，从机制上讲，有几条证据表明，海洋表面温度是生物学上最相关的解释变量。
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.
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影响因子：
3.3
作者：
Cook, RM;Heath, MR
通讯作者：
Heath, MR
DOI：
10.1098/rspb.2003.2651
发表时间：
2004-03-22
影响因子：
4.7
作者：
Genner, MJ;Sims, DW;Hawkins, SJ
通讯作者：
Hawkins, SJ
DOI：
10.1073/pnas.1133383100
发表时间：
2003-08-05
影响因子：
11.1
作者：
Gjerdrum, C;Vallée, AMJ;Blackburn, GS
通讯作者：
Blackburn, GS
影响因子：
5.9
作者：
HARRIS, MP;BAILEY, RS
通讯作者：
BAILEY, RS
影响因子：
4.9
作者：
Cohen, J;Barlow, M
通讯作者：
Barlow, M