首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Elevational plant species richness patterns and their drivers across non-endemics,endemics and growth forms in the Eastern Himalaya
Authors:Kumar Manish  Maharaj K Pandit  Yasmeen Telwala  Dinesh C Nautiyal  Lian Pin Koh  Sudha Tiwari
Institution:1.Department of Environmental Studies,University of Delhi,Delhi,India;2.Centre for Interdisciplinary Studies of Mountain and Hill Environment,University of Delhi,Delhi,India;3.Environment Institute, and School of Biological Sciences,University of Adelaide,Adelaide,Australia
Abstract:Despite decades of research, ecologists continue to debate how spatial patterns of species richness arise across elevational gradients on the Earth. The equivocal results of these studies could emanate from variations in study design, sampling effort and data analysis. In this study, we demonstrate that the richness patterns of 2,781 (2,197 non-endemic and 584 endemic) angiosperm species along an elevational gradient of 300–5,300 m in the Eastern Himalaya are hump-shaped, spatial scale of extent (the proportion of elevational gradient studied) dependent and growth form specific. Endemics peaked at higher elevations than non-endemics across all growth forms (trees, shrubs, climbers, and herbs). Richness patterns were influenced by the proportional representation of the largest physiognomic group (herbs). We show that with increasing spatial scale of extent, the richness patterns change from a monotonic to a hump-shaped pattern and richness maxima shift toward higher elevations across all growth forms. Our investigations revealed that the combination of ambient energy (air temperature, solar radiation, and potential evapo-transpiration) and water availability (soil water content and precipitation) were the main drivers of elevational plant species richness patterns in the Himalaya. This study highlights the importance of factoring in endemism, growth forms, and spatial scale when investigating elevational gradients of plant species distributions and advances our understanding of how macroecological patterns arise.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号