Das Gaurab Nandi, Fric Zdenek Faltynek, Panthee Shristee, Irungbam Jatishwor Singh, Konvicka Martin
Faculty of Sciences, University of South Bohemia, 370 05 České Budějovice, Czech Republic.
Biology Centre CAS, Institute of Entomology, 370 05 České Budějovice, Czech Republic.
Insects. 2023 Jun 13;14(6):549. doi: 10.3390/insects14060549.
Butterflies are widely used to analyze biogeographical patterns, both at the global and regional scales. Thus far, most of the latter originated from well-surveyed northern regions, while the species-rich tropical areas lag due to a lack of appropriate data. We used checklists of 1379 butterfly species recorded in 36 federal states of the Republic of India (1) to explore the basic macroecological rules, and (2) to relate species richness and the distribution of endemics and geographic elements to geography, climate, land covers and socioeconomic conditions of the states. The area, land covers diversity and latitude did not affect species richness, whereas topographic diversity and the precipitation/temperature ratio (energy availability) were positive predictors. This is due the geographic and climatic idiosyncrasies of the Indian subcontinent, with its highest species richness in the small, densely forested mountainous northeast that receives summer monsoons. The peninsular effect that decreases the richness towards the tip of subcontinent is counterbalanced by the mountainous forested Western Ghats. Afrotropical elements are associated with savannahs, while Palearctic elements are associated with treeless habitats. The bulk of Indian butterfly richness, and the highest conservation priorities, overlap with global biodiversity hotspots, but the mountainous states of the Western Himalayas and the savannah states of peninsular India host distinctive faunas.
蝴蝶被广泛用于分析全球和区域尺度上的生物地理格局。到目前为止,大多数关于区域尺度的研究都源自调查充分的北方地区,而物种丰富的热带地区由于缺乏合适的数据而滞后。我们利用印度共和国36个联邦州记录的1379种蝴蝶的名录,(1)探索基本的宏观生态规律,(2)将物种丰富度、特有物种分布以及地理成分与各邦的地理、气候、土地覆盖和社会经济状况联系起来。面积、土地覆盖多样性和纬度并未影响物种丰富度,而地形多样性和降水/温度比(能量可利用性)是正向预测因子。这是由于印度次大陆的地理和气候特性,在夏季受季风影响的东北部小而森林茂密的山区物种丰富度最高。向次大陆尖端物种丰富度降低的半岛效应被多山且森林茂密的西高止山脉所抵消。热带非洲成分与热带稀树草原相关,而古北界成分与无树栖息地相关。印度蝴蝶丰富度的大部分以及最高的保护优先级与全球生物多样性热点地区重叠,但西喜马拉雅山的山区邦和印度半岛的热带稀树草原邦拥有独特的动物区系。