Sharma Jagmohan, Upgupta Sujata, Jayaraman Mathangi, Chaturvedi Rajiv Kumar, Bala Govindswamy, Ravindranath N H
Center for Sustainable Technologies, Indian Institute of Science, Bangalore, 560 012, India.
Wildlife Institute of India, Chandrabani, Dehradun, 248 002, India.
Environ Manage. 2017 Sep;60(3):544-553. doi: 10.1007/s00267-017-0894-4. Epub 2017 Jun 1.
Forests are subjected to stress from climatic and non-climatic sources. In this study, we have reported the results of inherent, as well as climate change driven vulnerability assessments for Indian forests. To assess inherent vulnerability of forests under current climate, we have used four indicators, namely biological richness, disturbance index, canopy cover, and slope. The assessment is presented as spatial profile of inherent vulnerability in low, medium, high and very high vulnerability classes. Fourty percent forest grid points in India show high or very high inherent vulnerability. Plantation forests show higher inherent vulnerability than natural forests. We assess the climate change driven vulnerability by combining the results of inherent vulnerability assessment with the climate change impact projections simulated by the Integrated Biosphere Simulator dynamic global vegetation model. While 46% forest grid points show high, very high, or extremely high vulnerability under future climate in the short term (2030s) under both representative concentration pathways 4.5 and 8.5, such grid points are 49 and 54%, respectively, in the long term (2080s). Generally, forests in the higher rainfall zones show lower vulnerability as compared to drier forests under future climate. Minimizing anthropogenic disturbance and conserving biodiversity can potentially reduce forest vulnerability under climate change. For disturbed forests and plantations, adaptive management aimed at forest restoration is necessary to build long-term resilience.
森林受到来自气候和非气候因素的压力。在本研究中,我们报告了印度森林的固有脆弱性以及气候变化驱动的脆弱性评估结果。为评估当前气候条件下森林的固有脆弱性,我们使用了四个指标,即生物丰富度、干扰指数、树冠覆盖率和坡度。评估结果以低、中、高和非常高脆弱性等级的固有脆弱性空间分布图呈现。印度40%的森林网格点显示出高或非常高的固有脆弱性。人工林的固有脆弱性高于天然林。我们通过将固有脆弱性评估结果与综合生物圈模拟器动态全球植被模型模拟的气候变化影响预测相结合,来评估气候变化驱动的脆弱性。在代表性浓度路径4.5和8.5下,短期内(2030年代),46%的森林网格点在未来气候下显示出高、非常高或极高的脆弱性,而在长期(2080年代),此类网格点分别为49%和54%。一般来说,与未来气候下较干燥的森林相比,降雨较多地区的森林脆弱性较低。尽量减少人为干扰并保护生物多样性,有可能降低气候变化下森林的脆弱性。对于受干扰的森林和人工林,旨在森林恢复的适应性管理对于建立长期恢复力是必要的。