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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Local and global climate signals from tree rings of Parkinsonia praecox in La Guajira, Colombia
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Local and global climate signals from tree rings of Parkinsonia praecox in La Guajira, Colombia

机译:来自哥伦比亚拉瓜希拉的Parkinsonia praecox年轮的局部和全球气候信号

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摘要

Land use change and climate change have been increasingly contributing to loss or reduction of biological and economic productivity of arid lands. The dry climate and physiographic characteristics of the Peninsula of La Guajira on the Colombian Caribbean coast are considered to be crucial drivers of the loss of vegetative cover and soil erosion; however, little knowledge exists on long-term changes in climate in the area. This study presents a tree-ring chronology from Parkinsonia praecox (18 trees, 45 radii) that allows the reconstruction of local and global climate drivers spanning the last 63 years. Tree-ring width was strongly correlated with rainfall and wind data, indicating that annual tree growth was closely related to local climatic variability. The chronology also strongly correlated with an index of ENSO severity (El Ni?o Southern Oscillation), suggesting that large-scale climatic phenomenon also have important influence on Parkinsonia growth. To further investigate rainfall-growth relationships, climate data series of annual rainfall and rainfall from September to November (SON), the rainiest months, were reconstructed using transfer functions. These data series did not exhibit a clear trend of change in rainfall over the last 63 years. The transfer functions reconstructed the total annual rainfall (R ~2 = 0.8), and SON (R ~2 = 0.7). This study constitutes the first attempt to reconstruct climatic patterns in Colombia with techniques of dendrochronology, and demonstrates the potential of Parkinsonia praecox for studying climatic patterns along the American subtropics, ranging from Mexico to Argentina.
机译:土地用途的变化和气候变化已越来越多地导致干旱土地丧失或减少其生物和经济生产力。哥伦比亚加勒比海沿岸瓜瓜拉半岛的干旱气候和生理特征被认为是造成植被丧失和水土流失的关键原因;但是,对该地区气候的长期变化知之甚少。这项研究提出了一种来自帕金森(Parkinsonia praecox)的树年轮年代学(18棵树,半径45半径),可以重建过去63年中本地和全球气候驱动因素。树木的年轮宽度与降雨和风的数据密切相关,表明树木的年生长与当地的气候变化密切相关。年表还与ENSO严重程度指数(厄尔尼诺南方涛动)密切相关,这表明大规模的气候现象也对帕金森氏菌的生长具有重要影响。为了进一步研究降雨量与降雨量的关系,使用传递函数重建了年度降雨量和9月至11月(SON)(最雨的月份)的降雨量的气候数据系列。这些数据系列在过去63年中没有显示出明显的降雨变化趋势。传递函数重建了年降水总量(R〜2 = 0.8)和SON(R〜2 = 0.7)。这项研究是使用树轮年代学技术重建哥伦比亚气候模式的首次尝试,并证明了Parkinsonia praecox在研究从墨西哥到阿根廷的美洲亚热带气候模式的潜力。

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