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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Growth-climate relationships of Himalayan conifers along elevational and latitudinal gradients
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Growth-climate relationships of Himalayan conifers along elevational and latitudinal gradients

机译:喜马拉雅针叶树沿海拔和纬度梯度的生长-气候关系

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High mountains are some of the most vulnerable regions to climate change and therefore a matter of global concern. Here, the climatic growth factors of conifers and their course in time and space along an elevational gradient in the northwestern Himalayan part of India were studied. Increment cores of Juniperus semiglobosa and Cedrus deodara (xeric species), and Abies pindrow and Picea smithiana (mesic species) were collected from thirteen sites. Tree-ring width and maximum latewood density were measured and cross-dated. The time-series were standardized and site- and species-level chronologies were built. Static and moving bootstrap correlation and response functions between the tree-ring chronologies and monthly climatic variables were computed. The largest climate changes in the region were increasing winter and early-spring temperatures and decreasing monsoon precipitation. The growth of all species was negatively correlated with pre-monsoon temperature, as the higher temperatures probably increased evapotranspiration and caused water deficit. The phenomenon was most pronounced in May, but also in June for the Juniperus at the northernmost, highest, and driest sites. The pre-monsoon temperature signal of the drought-prone Juniperus and Cedrus endured, while the signal of the climate-susceptible Abies and Picea at the mesic sites was unstable. Namely, the May temperature signal of Picea became significant since the second half of the last century whereas the signal of Abies shifted from May to April. This apparently related to the earlier onset of spring due to the accelerated warming in the region. Besides, maximum latewood density of Picea and Abies negatively correlated with May and June temperature, respectively. Additionally, the Cedrus benefitted from winter precipitation and the Abies and Picea from pre-monsoon rainfall. Counterintuitively, we detected no direct effect of monsoon precipitation decrease on the conifers because their growth was driven by pre-monsoon conditions, which changed only slightly.
机译:高山地区是最容易受到气候变化影响的地区之一,因此是全球关注的问题。本文研究了印度喜马拉雅西北部针叶树的气候生长因子及其沿海拔梯度的时空变化。从13个地点采集了半球形杜松(Juniperus semiglobosa)和雪松(Cedrus deodara)(旱生种)以及冷杉(Abies pindrow)和密云杉(Picea smithiana)(中生种)的增量核心。测量了树木年轮宽度和最大晚材密度并进行了交叉测年。时间序列是标准化的,并建立了地点和物种级别的年表。计算了树木年轮年表与月气候变量之间的静态和移动自举相关和响应函数。该地区最大的气候变化是冬季和早春气温升高以及季风降水减少。所有物种的生长都与季风前温度呈负相关,因为较高的温度可能增加了蒸散量并导致缺水。这种现象在5月最明显,但在6月,在最北端、最高和最干燥的地方,杜松也最明显。易受干旱影响的杜松和雪松的季风前温度信号持续存在,而中热带地区易受气候影响的冷杉和云杉的信号不稳定。也就是说,自上世纪下半叶以来,云杉的5月温度信号变得显著,而冷杉的信号从5月转移到4月。这显然与该地区加速变暖导致春季提前到来有关。此外,云杉和冷杉的最大晚木密度分别与5月和6月温度呈负相关。此外,雪松受益于冬季降水,冷杉和云杉受益于季风前的降雨。与直觉相反,我们没有发现季风降水减少对针叶树的直接影响,因为它们的生长是由季风前条件驱动的,季风条件仅略有变化。

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