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Seasonal precipitation reconstruction and teleconnections with ENSO based on tree ring analysis of Pinus cooperi

机译:基于松树年轮分析的ENSO季节降水重建与遥相关

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摘要

Tendencies of climatic variability indicate that northern Mexico will soon suffer from severe drought. Modeling the influence of climate and ecological processes would help researchers better understand the future implication of climatic variations. Here, we reconstructed historical seasonal precipitation using dendrochronological indices of Pinus cooperi and El Nino southern oscillation (ENSO). Correlation analysis was conducted to establish the precipitation response period; then a reconstruction model using independent variables was constructed using regression procedures. Available data were calibrated and verified to strengthen and validate the modeled reconstruction. Precipitation from the previous winter was best correlated with tree growth. Regression procedures showed that the residual chronology associated in a linear model with El Nino 3.4 explained 47 % of seasonal precipitation variability. This study contributes to a better understanding of historical variations in precipitation and the influence of ENSO in common tree species of northern Mexico to help land managers improve local forest management in a climate change scenario.
机译:气候变化趋势表明,墨西哥北部很快将遭受严重干旱。对气候和生态过程的影响进行建模将有助于研究人员更好地了解气候变化的未来含义。在这里,我们使用樟子松和厄尔尼诺南方涛动(ENSO)的树木年代学指标重建了历史季节性降水。进行相关分析以建立降水响应期。然后使用回归程序构建使用自变量的重建模型。对可用数据进行校准和验证,以加强和验证建模重建。前一个冬天的降水与树木的生长最相关。回归程序显示,与El Nino 3.4关联的线性模型中的剩余年表解释了47%的季节性降水变化。这项研究有助于更好地了解降水的历史变化以及ENSO对墨西哥北部常见树种的影响,以帮助土地管理人员在气候变化情景中改善当地森林管理。

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  • 来源
    《Theoretical and applied climatology》 |2014年第4期|495-500|共6页
  • 作者单位

    Facultad de Ciencias Forestales, Universidad Juarez del Estado de Durango, Av. Papaloapan y Blvd. Durango, Durango 34120, Mexico;

    Facultad de Ciencias Forestales, Universidad Autonoma de Nuevo Leon, Carretera Nacional Km. 145, Apartado Postal 41, Linares 67700, Nuevo Leon, Mexico;

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