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Changes in seasonal climate outpace compensatory density-dependence in eastern brook trout

机译:东部小鳟鱼的季节性气候变化超过补偿性密度依赖性

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Understanding how multiple extrinsic (density-independent) factors and intrinsic (density-dependent) mechanisms influence population dynamics has become increasingly urgent in the face of rapidly changing climates. It is particularly unclear how multiple extrinsic factors with contrasting effects among seasons are related to declines in population numbers and changes in mean body size and whether there is a strong role for density-dependence. The primary goal of this study was to identify the roles of seasonal variation in climate driven environmental direct effects (mean stream flow and temperature) vs. density-dependence on population size and mean body size in eastern brook trout (Salvelinus fontinalis). We use data from a 10-year capture-mark-recapture study of eastern brook trout in four streams in Western Massachusetts, USA to parameterize a discrete-time population projection model. The model integrates matrix modeling techniques used to characterize discrete population structures (age, habitat type, and season) with integral projection models (IPMs) that characterize demographic rates as continuous functions of organismal traits (in this case body size). Using both stochastic and deterministic analyses we show that decreases in population size are due to changes in stream flow and temperature and that these changes are larger than what can be compensated for through density-dependent responses. We also show that the declines are due mostly to increasing mean stream temperatures decreasing the survival of the youngest age class. In contrast, increases in mean body size over the same period are the result of indirect changes in density with a lesser direct role of climate-driven environmental change.
机译:面对迅速变化的气候,了解多种外部(与密度无关)因素和内在(与密度有关)机制如何影响种群动态变得越来越紧迫。特别不清楚的是,多个外部因素在季节之间具有不同的影响,这与人口数量的减少和平均体重的变化以及密度依赖性是否有很强的作用有关。这项研究的主要目标是确定季节性变化在气候驱动的环境直接影响(平均水流和温度)与密度依赖关系(东部eastern鳟(Salvelinus fontinalis)的种群大小和平均体型)中的作用。我们使用来自美国马萨诸塞州西部四条溪流中的东部溪鳟的十年捕获捕获-捕获-捕获研究的数据来参数化离散时间人口预测模型。该模型将用于表征离散种群结构(年龄,栖息地类型和季节)的矩阵建模技术与用于将人口统计特征表征为生物特征(在此情况下为体形)的连续函数的整体投影模型(IPM)集成在一起。使用随机分析和确定性分析,我们都表明人口减少是由于水流和温度的变化所致,并且这些变化大于通过依赖于密度的响应所能弥补的变化。我们还表明,下降的主要原因是平均水流温度升高,降低了最年轻年龄段的存活率。相反,同一时期平均体重的增加是密度间接变化的结果,而气候驱动的环境变化的直接作用较小。

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