Birbal Sahni Institute of Palaeosciences, 53 University Road, Lucknow 226 007, India.
G. B. Pant National Institute of Himalayan Environment, Kosi-Katarmal, Almora 263 643, Uttarakhand, India.
Sci Total Environ. 2023 Jul 15;882:163630. doi: 10.1016/j.scitotenv.2023.163630. Epub 2023 Apr 20.
Global warming is likely to become one of the significant drivers of forest losses in the Hindu-Kush Himalaya (HKH) during the 21 century. Better understanding of how forest ecosystem will respond to global warming requires a precise knowledge of site and species specific responses to climate change. We applied dendrochronological technique to quantify and predict future growth trend of Himalayan cedar (Cedrus deodara), a tree of high commercial importance, and explored its spatial growth variability under two different climatic regimes from 17 deodar sites in the HKH. Of the two climate regimes, one is dominated by the monsoon rainfall and the other by the westerly disturbances. Analysis of tree ring width and climate (monthly temperature and precipitation) data reveals that the spring (March-May) temperature and precipitation affect the growth of deodar negatively and positively, respectively. We used Generalized Least Squares (GLS) regression model to forecast future growth of deodar by taking an ensemble of 40 General Circulation Models (GCMs) for emission scenarios RCP 4.5 and RCP 8.5. Predicted growth trends indicate the decline between 34 % and 38 % under RCP 4.5, and between 29 % and 32 % under RCP 8.5 scenarios, for the low and mid latitude sites. In contrast, a moderate increase in growth was observed in high latitude sites under the both climate scenarios. The study shows more drought stress to deodar trees growing in monsoon areas in mid-and low-latitude sites where less snow melt and low precipitation during the spring season are predicted to increase evapotranspiration. In comparison, in the higher latitude sites where there is a high snowfall due to western disturbances, the growth of deodar is predicted to increase. These findings may be used to take suitable migratory steps for the conservation of deodar in the HKH region.
全球变暖可能成为 21 世纪期间喜玛拉雅山脉(Hindu-Kush Himalaya,简称 HKH)森林消失的主要驱动因素之一。要更好地了解森林生态系统将如何应对全球变暖,就需要精确了解特定地点和物种对气候变化的反应。我们应用树木年代学技术来量化和预测喜玛拉雅雪松(Cedrus deodara)的未来生长趋势,喜玛拉雅雪松是一种具有重要商业价值的树种,并探索了它在喜玛拉雅山脉的 17 个雪松地点的两种不同气候条件下的空间生长变异性。在这两种气候条件下,一种主要由季风降雨控制,另一种则由西风干扰控制。树木年轮宽度和气候(月平均温度和降水)数据分析表明,春季(三月至五月)温度和降水分别对雪松的生长产生负面影响和正面影响。我们使用广义最小二乘法(GLS)回归模型,通过对排放情景 RCP 4.5 和 RCP 8.5 的 40 个通用环流模型(GCMs)进行集合,来预测雪松的未来生长。预测的生长趋势表明,在 RCP 4.5 情景下,低纬和中纬地区的下降幅度在 34%至 38%之间,而在 RCP 8.5 情景下,下降幅度在 29%至 32%之间。相比之下,在两种气候情景下,高纬地区的生长都有适度增加。研究表明,在中低纬季风地区生长的雪松树木将面临更大的干旱压力,因为预计春季期间的融雪减少和降水减少将增加蒸散作用。相比之下,在西风干扰导致高海拔地区有大量降雪的地区,雪松的生长预计将增加。这些发现可以用于采取适当的迁移措施,以保护喜玛拉雅山脉地区的雪松。