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首页> 外文期刊>Global change biology >Climate-driven vital rates do not always mean climate-driven population
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Climate-driven vital rates do not always mean climate-driven population

机译:气候驱动的生命率并不总是意味着气候驱动的人口

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Current climatic changes have increased the need to forecast population responses to climate variability. A common approach to address this question is through models that project current population state using the functional relationship between demographic rates and climatic variables. We argue that this approach can lead to erroneous conclusions when interpopulation dispersal is not considered. We found that immigration can release the population from climate-driven trajectories even when local vital rates are climate dependent. We illustrated this using individual-based data on a trans-equatorial migratory seabird, the Scopoli's shearwater Calonectris diomedea, in which the variation of vital rates has been associated with large-scale climatic indices. We compared the population annual growth rate (i), estimated using local climate-driven parameters with (i), a population growth rate directly estimated from individual information and that accounts for immigration. While (i) varied as a function of climatic variables, reflecting the climate-dependent parameters, (i) did not, indicating that dispersal decouples the relationship between population growth and climate variables from that between climatic variables and vital rates. Our results suggest caution when assessing demographic effects of climatic variability especially in open populations for very mobile organisms such as fish, marine mammals, bats, or birds. When a population model cannot be validated or it is not detailed enough, ignoring immigration might lead to misleading climate-driven projections.
机译:当前的气候变化增加了预测人口对气候变化反应的需求。解决此问题的一种常用方法是通过使用人口统计率与气候变量之间的函数关系来预测当前人口状况的模型。我们认为,当不考虑种群间扩散时,这种方法可能导致错误的结论。我们发现,即使当地生命率取决于气候,移民也可以使人口摆脱气候驱动的轨迹。我们使用跨赤道候鸟海鸟Scopoli的剪力水Calonectris diomedea上基于个体的数据对此进行了说明,其中生命率的变化与大规模的气候指数有关。我们将使用当地气候驱动参数估算的人口年增长率(i)与根据个人信息直接估算的人口增长率(i)进行了比较,并说明了移民情况。 (i)是气候变量的函数,反映了与气候有关的参数,但(i)没有变化,表明分散使人口增长与气候变量之间的关系与气候变量与生命率之间的关系脱钩。我们的结果表明,在评估气候变化的人口统计学影响时尤其要谨慎,尤其是在开放性种群中,对于鱼类,海洋哺乳动物,蝙蝠或鸟类等活动性很强的生物。当无法验证人口模型或模型不够详细时,忽略移民可能会导致由气候驱动的预测产生误导。

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