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Time series analysis of climate-related factors and their impact on a

机译:气候相关因素的时间序列分析及其对气候变化的影响

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1. Global climate change is predicted to raise water temperatures and alter flow regimes in northern river systems. Climate-related factors might have profound impacts on survival, reproduction and distribution of freshwater species such as red-listed noble crayfish (Astacus astacus) in its northern limit of distribution. 2. In this study, noble crayfish capture data over 27 years from the River Ljungan, Sweden, were examined. Time series of catch per unit effort (CPUE) were analysed in relation to the North Atlantic Oscillation (NAO) index, regional weather factors and water flow. CPUE was assumed to reflect differences in population size. Two models were constructed to explore the relative impact of different climate factors and density dependence on variability of catch sizes. 3. The most parsimonious model for CPUE time series, explaining 72% of the variance in CPUE, included density-dependent population dynamics of the crayfish and climate or weather factors. The specific effect from density dependence in the model was 37%, while climate/weather factors contributed with 35% of the variation. The most important climate/weather factors are variations in NAO index and water flow. Temperature did not improve the model fit to capture data. 4. The best model was evaluated using independent data sets that gave correlations between model predictions and data ranging from 0.44 to 0.53. The density dependence shows a time lag of 1 year, while climate variables show time lags from 2 to 6 years in relation to CPUE, indicating effects on different cohorts of the crayfish population. 5. Both density dependence and climatic factors play a significant role in population fluctuations of noble crayfish. A 6-year time lag for NAO index is puzzling but indicates that some as yet unidentified factors related to NAO might act on the juvenile stages of the population. Water flow shows a 2-year lag to the CPUE, and high flow in the river may affect adult survival. The reasons for fluctuation of crayfish catches in response to climate need to be identified, and fishing quotas should consider the different cohort sizes because of variation in environment. Reintroduction programmes for crayfish need to consider effects of climate change when designing management strategies.
机译:1.预计全球气候变化将提高水温,并改变北部河流系统的水流状况。与气候相关的因素可能会对淡水物种的生存,繁殖和分布产生深远的影响,例如在北部分布范围内的红色上市贵族小龙虾(Astacus astacus)。 2.在这项研究中,检查了瑞典Ljungan河27年来贵族小龙虾的捕获数据。分析了与北大西洋涛动指数(NAO),区域天气因素和水流量有关的单位捕捞量时间序列(CPUE)的时间序列。假定CPUE反映了人口规模的差异。构建了两个模型来探讨不同气候因素的相对影响以及密度对渔获量变化的依赖性。 3. CPUE时间序列的最简约模型解释了CPUE的72%的方差,其中包括小龙虾的密度相关种群动态以及气候或天气因素。该模型中密度依赖性的特定影响为37%,而气候/天气因素贡献了35%的变化。最重要的气候/天气因素是NAO指数和水流量的变化。温度并未提高模型拟合度以捕获数据。 4.使用独立的数据集评估最佳模型,该模型给出了模型预测与0.44至0.53之间的数据之间的相关性。密度依赖性显示了1年的时滞,而气候变量显示相对于CPUE的2到6年的时滞,表明对小龙虾种群的不同群体产生了影响。 5.密度依赖性和气候因素在贵族小龙虾的种群波动中都起着重要作用。 NAO指数的6年时滞令人费解,但表明与NAO相关的一些尚未确定的因素可能会影响人口的青少年阶段。水流量显示CPUE滞后2年,河流中的高流量可能会影响成年生存。需要确定小龙虾捕捞量随气候变化而波动的原因,并且由于环境的变化,捕捞配额应考虑不同的种群规模。在设计管理策略时,小龙虾的再引进计划需要考虑气候变化的影响。

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